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CANADIAN<br />

UNDERGRADUATE<br />

MATHEMATICS<br />

CONFERENCE<br />

JULY 9-12, 2008<br />

Welcome to the 15 th Annual Canadian Undergraduate Mathematics Conference!<br />

This year we are delighted to have over 150 participants in the Canadian<br />

Undergraduate Mathematics Conference, with over 80 student presentations,<br />

and five invited speakers. We welcome all of you to the St. George<br />

campus of the University of Toronto and hope that you enjoy your time here!<br />

Iva Halacheva and Katie Mann,<br />

2008 <strong>CUMC</strong> co-presidents


Contents<br />

About the CMS Student Committee . . . . . . . . . . . . . . . . . . . . . . . . . 1<br />

About MITACS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1<br />

ACCELERATE Canada . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2<br />

MITACS Student Advisory Committee . . . . . . . . . . . . . . . . . . . . . . . . 2<br />

Student Talks: Titles and Abstracts . . . . . . . . . . . . . . . . . . . . . . . . . . 3<br />

Invited Speakers: Talk Titles and Abstracts . . . . . . . . . . . . . . . . . . . . . 32<br />

Conference Schedule: Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34<br />

Conference Schedule: Details . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35<br />

UofT Campus Map . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40<br />

Just for fun/Juste pour rire... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41<br />

The <strong>CUMC</strong> 2008 Organizing Committee . . . . . . . . . . . . . . . . . . . . . . . 43<br />

Thanks To Our Sponsors! . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

About the CMS Student Committee<br />

The Canadian Mathematical Society’s Student Committee (Studc), is a committee made<br />

up of <strong>undergraduate</strong> and graduate students from across the country to represent the interests<br />

of math students such as yourselves on the national level. Our programming includes many<br />

things such as out bi-annual newsletter, funding for student <strong>conference</strong>s, and of course helping<br />

oversee the <strong>CUMC</strong>. We also provide social events and workshops for students at both the<br />

summer and winter CMS meetings. As we are serving you, we’d like to encourage you to get<br />

involved, find out more about us and give us suggestions as to projects you would like to see<br />

us undertake. To find out more you can visit the website http://cms.math.ca/students<br />

or speak to one of the co-chairs Jenna Tichon who is attending this <strong>conference</strong>. As well,<br />

the committee is currently looking to fill numerous positions which you can find out about<br />

by emailing chairstudc@ cms.math.ca. We look forward to getting to meet more students<br />

and hope you enjoy the <strong>conference</strong>.<br />

About MITACS<br />

Overview<br />

MITACS stands for the Mathematics of Information Technology and Complex Systems It is<br />

one of 21 federally funded Canadian Networks of Centers of Excellence (NCE). It was created<br />

in 1999. MITACS works with organizations to identify their problems, and the scientists with<br />

the expertise to help solve these problems, and provide significant funds towards research and<br />

innovative solutions. MITACS focuses on five key sectors of the economy: Biomedical and<br />

Health, Environment and Natural Resources, Information Processing, Risk and Finance and<br />

Communication, Networks and Security. More information is available at www.mitacs.ca.<br />

1


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

ACCELERATE Canada<br />

The MITACS Internship Program, now labeled ACCELERATE Canada, enables graduate<br />

students and PDF’s across Canada to apply their research skills to real challenges that<br />

industries face. There are programs throughout the country including British Columbia,<br />

Alberta, Saskatchewan, Manitoba, Ontario, Quebec and Atlantic Canada. Each program is<br />

outlined on our website (www.acceleratecanada.ca).<br />

ACCELERATE Ontario connects Ontario companies with the high-quality research expertise<br />

within the provinces universities. Companies benefit from accessing the vast intellectual<br />

capital within the provinces universities while connecting with potential future employees.<br />

Graduate interns benefit from the opportunity to apply their research skills to real-world<br />

challenges. ACCELERATE Ontario is administered by MITACS Inc. with the financial<br />

support of the Government of Ontario.<br />

MITACS Student Advisory Committee<br />

The Student Advisory Committee (SAC) serves as a voice for the students within MITACS<br />

by organizing student orientated events, advising the Scientific Director on student affairs<br />

and collecting ideas from the students about things they would like to see within MITACS.<br />

There is representation from across Canada, and across the five MITACS themes. If you<br />

would like to find out more about the MITACS SAC, or if you would like to know the student<br />

representative in your area, there is information on the MITACS webpage.<br />

2


Student Talks: Titles and Abstracts<br />

(these are arranged alphabetically by speaker’s last name. Please see the schedule at the<br />

back of the programme for times and locations. Talks are subject to change, but we’ll do our<br />

best to give you updates)<br />

The Invariant Subspace Problem<br />

Alfaisal, Faisal<br />

University Of Waterloo<br />

Given a linear operator T on a complex linear space X, we will consider the question of<br />

whether or not there is a non-trivial closed subspace U of X such that TU is a subset of<br />

U. (By a ”non-trivial” subspace we mean a proper, non-zero subspace.) Such a subspace U<br />

is said to be invariant under T. As expected, the answer to this problem depends on both<br />

the operator T and the underlying space X. The most interesting case arises when X is an<br />

infinite-dimensional Banach space and T is continuous. In particular, if X is a separable<br />

Hilbert space, the answer is not yet known; this is what is referred to as The Invariant<br />

Subspace Problem. Prereqs: Linear algebra and basic analysis (e.g. you should know what<br />

Banach and Hilbert spaces are).<br />

Optimization of the Czochralski method for InSb<br />

crystal growth<br />

Armstrong, Devon University of Ontario Institute of Technology<br />

The Cz method of crystal growth, while a common technique, creates stress on the crystal<br />

resulting in the formation of defects. This crystal is primarily used as an infrared detector<br />

and has a higher resolution with a larger crystal with fewer defects. The thermal stress<br />

prevents the manufacturing of the desired large, clean crystals. In this talk, we will look at<br />

the mathematical techniques used to model the crystal growth and quantify the resulting<br />

stress.<br />

3


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Equality of Ribbon Schur Q-functions<br />

Barekat, Farzin<br />

University of British Columbia<br />

We begin by defining labeled partially ordered sets (posets) and then associate a generating<br />

function to it. For certain posets and labelings it turns out that the generating function is a<br />

ribbon Schur Q-function. We then investigate when two of these ribbon Schur Q-functions<br />

are equal. No knowledge of any of the above will be assumed.<br />

Total Positivity of Matrices<br />

Barrett, Taylor<br />

University of Regina<br />

There are many intereting combinatorial and algebraic properties associated with totally<br />

positive minors. These properties help to define the class of totally positive matrices. I will<br />

briefly discuss some of the elementary results that have been shown. For example, total<br />

positivity is preserved under matrix multiplication, but not under addition. To show that<br />

matrix multiplication preserves total positivity it is crucial to understand the Cauchy-Binet<br />

Formula.<br />

From here, the focus will be on my ongoing research. The interest now lies in investigating<br />

additive type inequalities satisfied by these minors, and their relations to Plucker coordinates.<br />

The first such inequality is called the Symmetrized Fischer inequality, which is known to<br />

hold for positive semidefinite matrices. This inequality represents an average of the product<br />

of principal minors of size k and the complementary minor of size (n-k), with another such<br />

average of size j and (n-j) respectively. The inequality of interest is that if k ¡ j ¡ n/2, then the<br />

corresponding averages are also ordered in the same manner. A technique used successfully is<br />

to replace all minors by their associated Plucker coordinates, apply known Plucker relations<br />

and simplify the desired inequality into a subtraction free expression involving nonnegative<br />

terms. It will be shown that this inequality holds for 4-by-4 matrices, with k=1, and j=2.<br />

These expressions are of interest in both combinatorics and computer science since they will<br />

lead to stable calculations with no accidental calculations.<br />

No prior knowledge of the Fischer inequality or Plucker coordinates should be needed,<br />

they will explained briefly.<br />

Numerical Methods for Boundary Condition<br />

Problems<br />

Barriault, Michael<br />

Memorial University<br />

Boundary condition problems are central in physics, with well known problems in fields<br />

such as electromagnetism and relativity, however exact solutions are not always possible.<br />

Having ways to solve these problems numerically is often crucial. This talk will explore and<br />

expand upon methosds for solving second order ordinary differencial equations with given<br />

boundary conditions. In particualr, the shooting method will be detailed with examples<br />

given. An ordiginal modification of the shooting method will also be showcased. Results<br />

from this method are encouraging, with insignificant error using moderate step sizes.<br />

4


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Introduction to Design Theory<br />

Bazdell, Gary<br />

Carleton University<br />

Combinatorial design theory concerns questions about whether it is possible to arrange<br />

elements of a finite set into subsets so that certain balance properties are satisfied. We begin<br />

by introducing the basic concepts of design theory. The type of design that we will discuss is<br />

balanced incomplete block designs. We will look at different construction methods and the<br />

fundamental question of existence. With any time remaining we will discuss covering arrays<br />

and their use for interaction testing as well as error locating arrays. This talk is intended<br />

to be self-contained: all concepts are discussed in the slides and no previous experience in<br />

combinatorics is necessary.<br />

Spectrum and expansion of biregular graphs<br />

Belanger-Rioux, Rosalie<br />

McGill University<br />

Graphs with a strong expansion property are extremely useful in many areas of <strong>mathematics</strong><br />

and computer science, particularly in the design of efficient algorithms. It is, however,<br />

very difficult to explicitly construct infinite families of good expanders. In this talk, I shall<br />

introduce the spectrum of biregular graphs and show how it is related to their expansion<br />

coefficient. I will also describe a construction of biregular expanders from elliptic curves. Finally,<br />

I will present some experimental results on the second largest eigenvalues of biregular<br />

graphs with degrees 2 and 7.<br />

Probabilistic inference on ChIP-sequencing: A<br />

statistical approach to modelling genome-wide maps<br />

of chromatin states<br />

Bomers, Victor<br />

Dalhousie University<br />

Recent developments in genomic sequencing require new methods of statistical analysis<br />

to interpret the vast quantities of data that are being produced. This talk will provide an<br />

introduction to Probabilistic Inference on ChIP-Sequencing (PICS), a method developed to<br />

model genome-wide maps produced using the ChIPsequencing (ChIP-seq) technique.<br />

ChIP-seq combines chromatin immunoprecipitation and high-throughput sequencing to<br />

create genome-wide profiles of transcription factor binding sites [1]. These genome-wide<br />

maps are extremely useful in understanding chromatin at a systems level [2], but must be<br />

refined before they can become widely applied. PICS is a method that was developed to<br />

improve these maps and facilitate the analysis of ChIP-Seq data. It employs a variety of<br />

statistical techniques to model the data produced by the new high-throughput sequencing<br />

machines and provides an estimate of the location of binding sites as well as a measure of<br />

confidence about its accuracy.<br />

This presentation will highlight the statistical challenges encountered in the development<br />

and application of PICS.<br />

5


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Chemometrics applications to the multivariate<br />

calibration of overlapped 1H NMR spectra of<br />

complex mixtures<br />

Boutilier, Joe<br />

Dalhousie University<br />

Chemometrics is defined as gthe use of mathematical and statistical methods for handling,<br />

interpreting, and predicting chemical datah [1]. This talk will introduce the basics<br />

of how <strong>mathematics</strong> and statistics are used to solve problems in analytical chemistry via<br />

chemometrics. In chemistry, Nuclear Magnetic Resonance (NMR) spectroscopy is used to<br />

determine both qualitative and quantitative information about a chemical analyte. Whereas<br />

qualitative applications of NMR are widespread, its quantitative applications (qNMR) have<br />

found limited use. In recent years however, several applications of qNMR have been reported<br />

[2, 3] although they are typically univariate. Unfortunately, in analytical spectroscopy in<br />

general, univariate approaches for analyte quantitation become suboptimal in the presence<br />

of multiple overlaps and impurities. In this work, the use of qNMR has been extended<br />

to multivariate modeling in order to address the deficiencies of univariate models. Several<br />

datasets have been acquired to demonstrate the ability of multivariate analysis to model<br />

regions of NMR spectra with multiple overlaps for quantitative analysis. In this talk, two<br />

datasets acquired for (a) proof of principle and (b) application to greal lifeh problems are<br />

presented.<br />

Why Airplanes Fly: A Brief Introduction to Fluid<br />

Dynamics<br />

Bridgeman, Leila<br />

McGill University<br />

At some point during childhood everyone asks the question, how do airplanes fly In this<br />

talk, I propose to explain flight from a mathesmatical perspective, by starting from a few<br />

basic physical assumptions and building up to describe the flow of air around an airplanes<br />

wing. This is a surprisingly simple task as by using a conformal mapping (the Zhukovsky<br />

transform) the complicated airfoil profile can be transformed into a circle. The differential<br />

equations of potential (fluid) flow around the circle can then be solved, allowing the lift on<br />

the airfoil or other desired information to be calculated. By equating the airfoil shape to<br />

that of an airplane’s wing, I will use the above techniques to roughly estimate the speeds<br />

requied for an average plane to achieve liftoff.<br />

6


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Graduate Studies in Modelling and Computational<br />

Science at UOIT<br />

Buono, Pietro-Luciano<br />

University of Ontario Institute of Technology<br />

This talk will describe the opportunities for Graduate Studies in the field of Modelling<br />

and Computational Science at UOIT. Mathematical Modelling has always been an important<br />

part of the science enterprise. However, with the availability of small, cheap and powerful<br />

computers, the analysis of more realistic models has now become widespread and of greater<br />

value to scientists in academic disciplines and industry. The field of Computational Science<br />

emerged from this new way of studying complex natural phenomena. Computational Science<br />

is particularly useful in sciences where experimentation is difficult of impossible, i.e. climate<br />

modelling, nanotechnologies, quantum chemistry, dynamics of galaxies, etc.<br />

Spectrally Arbitrary Patterns in matrices<br />

Campbell, Natalie<br />

Redeemer University College<br />

Escher-Droste<br />

Carphin, Philippe<br />

University of Montreal<br />

Pragmatic Mathematics<br />

Cerezo, Richard<br />

University of Toronto<br />

The wondrous world of applied <strong>mathematics</strong>. A non-technical talk on my personal explorations.<br />

Spanning from campus libraries to Quantitative Oncology workshops with a<br />

detour to the Center for Nonlinear Dynamics in Physiology and Medicine in Montreal. I<br />

will give a gentle presentation on some interesting models from biology, modeling techniques<br />

(nonlinear dynamics, bifurcation analysis, chaos theory) and discourse on ’difficult’ questions<br />

(socio-anthropological sciences, the question of consciousness, political sciences, robotics and<br />

computers).<br />

7


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Dividing a Cake without Envy<br />

Chambers, Gregory<br />

University of Toronto<br />

I will examine the classical problem of dividing a cake amongst multiple players such that<br />

no player envies any other. I will discuss several methods of achieving this, as well as some<br />

open problems. A mathematical formulation of the problem will be given, however, no prior<br />

knowledge is required.<br />

Equivalents of the Axiom of Choice<br />

Chan, Vincent<br />

University of Waterloo<br />

The Axiom of Choice is one of the fundamental tools used in analysis and <strong>mathematics</strong><br />

in general; many useful results and theorems can be proven using it. But conversely, what<br />

results are strong enough to imply the Axiom of Choice In this presentation I will go<br />

over a few of the possible equivalences of the Axiom of Choice, including the most common<br />

equivalents seen in <strong>undergraduate</strong> analysis, and to diversify, a few results in algebra, topology,<br />

set theory, and functional analysis (time permitting).<br />

The Mathematics of Juggling<br />

Cheng, Oliver<br />

University of Toronto<br />

I will introduce the juggling notation known as ”siteswap”, which was developed by several<br />

people independently in the 1980s. The mathematical concepts involved are very simple. It<br />

will be easily seen, for example, how the properties of 1-1 and onto of the function in question<br />

ensure that objects don’t land at the same time and that there is an object to throw when<br />

needed. No <strong>mathematics</strong> beyond first year will be necessary. And, of course, there will be<br />

demonstrations.<br />

Mathematics of Voting<br />

Cheng, Phil<br />

Voting procedures are riddled with paradoxes and susceptible to strategic voting. The<br />

sources of voting paradoxes are discussed within the mathematical framework pioneered by<br />

Donald Saari. This framework also lends itself to a positive interpretation of the Arrow’s<br />

Impossibility Theorem. Next, strategic voting is examined with special reference to a recent<br />

case study. The types of strategic voting are finally evaluated vis-a-vis the practical<br />

considerations of various voting systems.<br />

8


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Sums of Cantor Sets<br />

Chlebovec, Christopher<br />

Lakehead University<br />

We investigate the topological structure of the arithmetic sums of two Cantor sets which<br />

are more general than the homogeneous affine Cantor sets studied by P. Mendes and F.<br />

Oliveira. We use a duality between such Cantor sets and sets of weighted subsums of a<br />

certain infinite series.<br />

Lies and Statistics<br />

Chouldechova, Alexandra<br />

University of Toronto<br />

“There are three kinds of lies: lies, damned lies, and statistics.” These words, most often<br />

attributed to Benjamin Disraeli, aptly describe the general public sentiment towards published<br />

statistics. Through well documented court trials and a couple of personal anecdotes,<br />

my talk will explore some of the ways numbers have been misinterpreted, misapplied and<br />

wrongly generalized. I will begin with the grim story of how a single mishandled statistic<br />

landed several women in jail, and the (successful) efforts of the statistical community to<br />

have the ruling reversed. From there I will delve into the secret lives of ”mutant statistics,”<br />

exploring along the way the importance of model assumptions and interpretations. I end<br />

with a look at some of the things statisticians are doing to make scientific studies accessible<br />

to both medical practitioners and you, the public. Prerequisites: None. Statistical jargon<br />

will be kept to a minimum, and unfamiliar terms will be explained and defined as needed.<br />

Algebraic Topology and Distributed Computing<br />

Christoff, Michael<br />

University of Toronto<br />

This talk will explore connections between algebraic topology and distributed computing.<br />

The talk will look at the work of Maurice Herlihy and Nir Shavit (mainly their paper: ”The<br />

Topological Structure of Asynchronous Computability”, Journal of the ACM, 1999), and<br />

its history (mainly the paper: ”Impossibility of Distributed Consensus with One Faulty<br />

Process”, Fischer, Lynch, Paterson, Journal of the ACM, 1985), as well as touch on critiques<br />

of the applicability of these results (mainly those of Gerard Tel, book: ”Introduction to<br />

Distributed Algorithms”).<br />

9


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

A Complex-Analytic Approach to Proving the<br />

Fundamental Theorem of Algebra<br />

Crooks, Peter<br />

Dalhousie University<br />

The Fundamental Theorem of Algebra states that if p is a non-constant polynomial with<br />

complex coefficients, there exists a complex number z for which p(z) = 0. While this theorem<br />

is clearly of relevance to some algebraic pursuits, there are proofs of the theorem that<br />

avoid invoking notions from abstract algebra. In particular, one can establish the Fundamental<br />

Theorem of Algebra by first proving a few theorems from complex analysis. I<br />

shall endeavour to do so. Prerequisites: The presentation will presuppose some exposure<br />

to multi-variable calculus, analysis (in particular, continuity, differentiability, compactness,<br />

least upper bounds, metric spaces, rudimentary pointset topology), and complex numbers.<br />

Graph Convexities and Elimination Orderings<br />

Crump, Iain<br />

University of Winnipeg<br />

Let G be a graph and P a property that a vertex may possess. An ordering of the vertices<br />

of G, v1, v2, c , vn, is a P-elimination ordering if for every i . 1, 2, c , n, the vertex vi has<br />

property P in the graph induced by vi, vi+1, c , vn. This talk will provide an introduction to<br />

the concept of graph convexities and examine the relationship between elimination orderings<br />

and graphs for which the convexities form convex geometries. A basic understanding of<br />

graph theory will be assumed.<br />

Transient Probabilities for M/M/1/c queues via<br />

path counting (Queueing theory)<br />

Cylwa, Michelle<br />

University of Windsor<br />

We find combinatorially the probability of having n customers in an M/M/1/c queueing<br />

system at an arbitrary time t when the arrival rate and the service rate are equal, including<br />

the case c=. Our method considers paths which can move Up, Down or remain Flat at<br />

various steps. We count the number of U-D-F paths starting at (0,0) and terminating at<br />

the point (k,i). To accomplish this, it will be shown that every U-DF path has a one-to-one<br />

correspondence with a particular type of U-D path, and the latter are easy to count. We<br />

include an introduction to queueing theory for those who are not familiar with the topic<br />

10


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Loops, Rings, and Other Things<br />

Dart, Bradley<br />

Memorial University of Newfoundland<br />

This is a brief introduction to the basic structures and ideas of nonassociative algebra.<br />

I’ll give some definitions and examples of loops, quasigroups, and(nonassociative) rings and<br />

algebras. I’ll discuss the use of identites in (nonassociative) algebra and some other tools<br />

that are helpful when we drop associativity. Some results from this summer’s NSERC USRA<br />

will be presented. An acquaintance with the concepts of basic abstract algebra would be<br />

helpful, but no specific knowledge is necessary.<br />

Polynomial Approximation<br />

Decker, Colin<br />

University of Toronto<br />

Give a little away, and complicated things become simple. Even pathological continuous<br />

functions can be uniformly approximated by polynomials. I will sketch a proof of a fact<br />

that may be surprising: every continuous function defined on the closed unit interval is the<br />

uniform limit of polynomials having only prime exponents. I will make the talk as selfcontained<br />

as possible, but knowledge of basic complex analysis and measure theory (basic<br />

definitions) will be useful.<br />

An introduction to differential forms and integration<br />

Dixon, Kael<br />

University of Waterloo<br />

Differential forms are used to formalize many notions from vector calculus and to extend<br />

them beyond our familiar three dimensional space. In particular, differential forms are used<br />

when integrating, and this provides a slick version of Stokes’ Theorem which is dimension<br />

independent. Although differential forms are usually used on manifolds, I will be expecting<br />

little or no knowledge of manifold theory, although multivariable calculus will be required,<br />

and vector calculus would be suggested to help understand the examples.<br />

11


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Online Algorithms for Multi-Unit Auctions with<br />

Unknown Supply<br />

Dos Remedios, Arron<br />

University Of Waterloo<br />

There are many powerful methods for optimizing objective functions over problems with<br />

fully-defined input sets. In an online problem, part of the input is initially unknown to the<br />

user and the task of optimization becomes difficult. In this talk, I will give an overview of<br />

online problems and describe a specific problem motivated by a scenario where an internet<br />

search engine auctions off advertising space to bidders. I will explain what it means to<br />

find a solution to this problem and how to measure the quality of a solution. I will then<br />

discuss previous results from a 2006 paper then describe another algorithm which I have been<br />

researching. Knowledge of elementary game theory may be helpful but is not necessary.<br />

Mathematics of Voting<br />

Du, Tom<br />

University of Toronto<br />

Voting procedures are riddled with paradoxes and susceptible to strategic voting. The<br />

sources of voting paradoxes are discussed within the mathematical framework pioneered by<br />

Donald Saari. This framework also lends itself to a positive interpretation of the Arrow’s<br />

Impossibility Theorem. Next, strategic voting is examined with special reference to a recent<br />

case study. The types of strategic voting are finally evaluated vis-a-vis the practical<br />

considerations of various voting systems.<br />

A foray into algebraic graph theory<br />

Evans, Julia<br />

McGill University<br />

I’ll define the adjacency matrix of a graph, square it, and convince you that that means<br />

something. Then I’ll (hopefully) convince you that you should even care about the eigenvalues<br />

of the adjacency matrix, and tell you an interesting theorem. Prerequisites: Basic linear<br />

algebra, knowing what a graph is.<br />

12


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Summation<br />

Fan, Wei<br />

University of Waterloo<br />

Have you ever tried to find the closed form of a nasty-looking sum involving binomial<br />

coefficients Have you wondered whether there is an algorithm to find such closed forms<br />

We will embark on a journey through the leisurely pages of the wonderful book by Graham,<br />

Knuth, and Patashnik called Concrete Mathematics and explore the ancient art of summation.<br />

We shall watch some nasty* sums dissolve before us. Some very basic ability to<br />

integrate (acquired from first-year calculus) and an ability to perspire are required. Come<br />

to the talk to find out precisely what ”nasty” means!<br />

Higher-order pseudospectra: Matrix power growth<br />

determination<br />

Fortier Bourque, Maxime<br />

Université Laval<br />

Given an n n matrix A, one may want to know Ak or etA , where .denotes the operator<br />

norm, without having to compute explicitly the matrices involved, especially if n and k or<br />

t are large. The map z (zI . A).1 , whose set of level curves is called pseudospectra, gives<br />

interesting information about the norms of the powers of A. Unfortunately, two matrices<br />

can have identical pseudospectra yet having quite unrelated behavior. Could we realistically<br />

strengthen this condition so that the power growth is completely determined We are lead<br />

to the following problem, for which we shall give a complete answer. If A and B are n n<br />

matrices such that (zI . A).1 and (zI . B).1 have the same singular values for every z C,<br />

then is it true that Ak = B k for all k<br />

Contemplating Incompleteness<br />

Fortier, Jerome<br />

Universite Laval<br />

Any mathematician knows what the process of constructing a mathematical theory is:<br />

from a handful of well-chosen axioms, we deduce new theorems, from which we can deduce<br />

more theorems, and so on. In 1931, Kurt Godel shakes the foundations of that demonstration<br />

process, by proving that it is impossible to choose the axioms carefully enough that<br />

all the possible mathematical theorems could follow. Even if there is an undeniable philosophic<br />

interest in that result of logical incompleteness, most mathematicians cannot see the<br />

mathematical interest or the consequences of that phenomenon in their research work. The<br />

objective of my talk will be to convince you that there is a mathematical interest in the<br />

phenomenon of incompleteness, by observing some of its manifestations in the small world<br />

of arithmetic.<br />

13


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Numeration Systems<br />

Glynn-Adey, Parker<br />

Trent University<br />

An elementary introduction to numeration systems of the naturals, and integers, with an<br />

emphasis on Zeckendorf systems.<br />

When is a 3-sphere not a 3-sphere<br />

Gollinger, William<br />

University of Waterloo<br />

The Poincare conjecture has recently been solved, but most math students don’t even<br />

know what it says. This talk will introduce homotopy groups, and discuss the Poincare<br />

conjecture. Hopefully it will not be technical.<br />

The Sky is Falling<br />

Gregson, Matthew<br />

University of Western Ontario<br />

The existence of asteroids within our solar system has long been recognized as a reality<br />

but rarely as a risk. As far back as 1766 astronomer Johann Daniel Titius postulated a<br />

formula for the relative distances of the planets from the sun. Titius noted the existence of<br />

a ggaph between Mars and Jupiter. This ggaph would later be described as the gAsteroid<br />

Belth. It was not until the 1980fs that astronomers began to systematically track asteroids<br />

and give them the consideration that they deserved. Of particular concern are a class of<br />

asteroids, known as Near Earth Objects (NEOs), which pass within 1 Astronomical Unit (1<br />

AU 150M km) of Earth. NEOs are tracked by NASAfs Jet Propulsion Lab in Pasadena,<br />

California where the data are used to determine their trajectories, relative position in the<br />

solar system and even their potential for a collision with Earth. Using techniques from<br />

Classical Mechanics, Differential Equations, and Probability, this talk will relate some of the<br />

steps involved in determining the risk of a given asteroidfs collision with Earth.<br />

A game theoretic perspective on peer-to-peer<br />

systems: Incentives and payoffs<br />

Grewal, Gurleen<br />

University of Waterloo<br />

Peer-to-peer communication networks are used for a wide array of applications including<br />

file sharing over the internet, media streaming, and telephony. Regardless of the application,<br />

voluntary sharing of resources on the part of users is necessary for any such system to be<br />

successful. Hence, the creation of some sort of an incentive scheme is necessary. We consider<br />

the actual and theoretical outcomes of different P2P incentive mechanisms and their attempts<br />

to overcome the problem of ”free-loading.” The audience is expected to have a basic, high<br />

level understand of p2p networks.<br />

14


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Pi Calculus: An Introduction to the Mathematics of<br />

Mobility and Concurrency<br />

Guillon, AJ<br />

University of Toronto<br />

Pi calculus is a mathematical framework for modeling communicating and mobile processes.<br />

One of the desired outcomes of the pi calculus (according to Robin Milner) is to<br />

inspire a high-level programming language, in much the same way lambda calculus influenced<br />

functional programming. A summary of pi calculus will be given, along with a brief<br />

discussion of how pi calculus is influencing the presenters parallel computing and signaling<br />

biology research. The audience should know what functional programming languages, and<br />

Turing machines are, and be familiar with finite state automata.<br />

Farey Sequences and Ford Circles<br />

Hahn, Ezra<br />

York University<br />

In the past, Farey sequences have been a component of many elementary number theory<br />

courses. However, most students taking elementary number theory courses today are not<br />

introduced to Farey sequences during their <strong>undergraduate</strong> career. In this talk, I will seek<br />

to define Farey sequences and prove a few theorems about their properties. I will also show<br />

how Farey sequences can be used to solve a problem from the 1993 Putnam competition.<br />

Following this, I will define Ford circles and prove a key theorem about their geometry. An<br />

interesting relation will arise between Farey sequences and Ford circles based on the theorems<br />

presented. Prerequisites: No prerequisites required (a course in elementary number theory<br />

would be helpful for parts of the talk)<br />

Reidemeisterfs theorem and more on knots<br />

Halacheva, Iva<br />

University of Toronto<br />

I will give a short introduction to knot theory and its history, then state and prove Reidemeisterfs<br />

theorem and explain its implications, as well as discuss some knot invariants and<br />

interesting properties of knots.<br />

15


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

The Stirling Numbers of the second kind,<br />

Multinomial Coefficients, and a Generalized Pascal’s<br />

Triangle.<br />

Haley, Charlotte<br />

Dalhousie University<br />

The Stirling numbers of the second kind, which denote the number of partitions of n<br />

objects into f nonempty subsets are given by the recursion relation, S(n,r) = rS(n-1,r) +<br />

S(n-1,r-1), n ¿= r ¿ 0 integers where S(0,0) := 1, and S(0,1) = S(1,1) = 1. I will give<br />

an explicit formula for the Stirling numbers of the second kind as a sum of multinomial<br />

coefficients. Pascal’s triangle lists all binomial coefficients, so using this formula, we can<br />

obtain all Stirling numbers for the case where r = 2. Similarly, multinomial coefficients can<br />

be used to determine the Stirling numbers of the second kind for any value of r.<br />

General abstract nonsense<br />

Hannigan-Daley, Brad<br />

University of Waterloo<br />

Often in <strong>mathematics</strong>, similar constructions and phenomena arise in diverse areas of research<br />

- for example, the notion of a ”product” of two objects, or that of a ”free” object<br />

(e.g. a free group, or the vector space spanned by a basis). Category theory provides a very<br />

general framework in which we can uniformly describe such phenomena. We give a brief<br />

introduction to category theory.<br />

Optimal Design of a Biolistic Gene-Particle Delivery<br />

System<br />

Hanz, Paul<br />

University of Ontario Institute of Technology<br />

Recent advancements within biotechnology and pharmacology have allowed for specimens<br />

of increasingly greater fragility to be analyzed and subjected to genetic alteration. Due to<br />

the sensitivity of many of these specimens, a method of injecting their cells with genetic<br />

information without directly physically disturbing any tissues is essential to their vitality.<br />

This project models the dynamics of a gas gene delivery system and attempts to identify a<br />

regime that optimizes the gene-delivery success rate, while limiting damage to neighboring<br />

tissues.<br />

16


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Transient Results for M/M/1/c Queues via Path<br />

Counting<br />

Hurajt, Laura<br />

University of Windsor<br />

We find combinatorially the probability of having n customers in an M/M/1/c queueing<br />

system at an arbitrary time t when the arrival rate and the service rate are equal, including<br />

the case c=. Our method considers paths which can move Up, Down or remain Flat at<br />

various steps. We count the number of U-D-F paths starting at (0,0) and terminating at the<br />

point (k,i). To accomplish this, it will be shown that every U-D-F path has a one-to-one<br />

correspondence with a particular type of U-D path, and the latter are easy to count. We<br />

include an introduction to queueing theory for those who are not familiar with the topic.<br />

The Sky is Falling<br />

Hwang, Doki<br />

University of Western Ontario<br />

The existence of asteroids within our solar system has long been recognized as a reality<br />

but rarely as a risk. As far back as 1766 astronomer Johann Daniel Titius postulated a<br />

formula for the relative distances of the planets from the sun. Titius noted the existence of<br />

a ggaph between Mars and Jupiter. This ggaph would later be described as the gAsteroid<br />

Belth. It was not until the 1980fs that astronomers began to systematically track asteroids<br />

and give them the consideration that they deserved. Of particular concern are a class of<br />

asteroids, known as Near Earth Objects (NEOs), which pass within 1 Astronomical Unit (1<br />

AU 150M km) of Earth. NEOs are tracked by NASAfs Jet Propulsion Lab in Pasadena,<br />

California where the data are used to determine their trajectories, relative position in the<br />

solar system and even their potential for a collision with Earth. Using techniques from<br />

Classical Mechanics, Differential Equations, and Probability, this talk will relate some of the<br />

steps involved in determining the risk of a given asteroidfs collision with Earth.<br />

Forbidden Configurations<br />

Karp, Steven<br />

University of British Columbia<br />

I will discuss my research in a problem in extremal set theory. Vaguely, I give a bound on<br />

the number of subsets we can choose from an m-set subject to certain restrictions. Specifically,<br />

I suppose that F is a given 0,1-matrix, and that A is an mxn 0,1-matrix with no<br />

repeated columns (an incidence matrix), such that no submatrix of A is a row and column<br />

permutation of F. I bound n in terms of m and F.<br />

17


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

An interesting decomposition of GL(2,Q)<br />

Lafleur, Olivier<br />

Universite de Sherbrooke<br />

We will present a decomposition similar to Euclide’s Algorithm to decompose any Mobius<br />

transformation with rationnal coefficients in a product of translations and inversions. We<br />

will then apply this decomposition to the matrices of GL(2,Q).<br />

Graph Reconstruction: Stacey’s Best Talk Ever!<br />

Lamont, Stacey<br />

Thompson Rivers University<br />

The Graph Reconstruction Conjecture was proposed in 1942 and it states that that every<br />

simple, finite, undirected graph with at least three vertices can be reconstructed up to<br />

isomorphism from itfs collection of vertex-deleted subgraphs (or cards). In 1977 the first<br />

issue of the Journal of Graph Theory described it as the foremost unsolved problem in<br />

the field and it remains unsolved to date. In 1990 Bela Bollobas published a paper that<br />

proved almost every graph has reconstruction number three. From this a new question<br />

emerged; what types of graphs have a reconstruction number greater than three We will<br />

examine wreath products, one such family of graphs with a reconstruction number higher<br />

than three, and understand what makes them have this unique property. This is original<br />

research done by the presenter along with Dr. Richard Brewster and Chester Lipka at<br />

Thompson Rivers University last summer. Basic graph theory terms will be given along<br />

with a detailed description of what graph reconstruction is.<br />

Introduction to the untyped lambda calculus<br />

Lang, Alex<br />

McGill University<br />

We will define what we mean by the untyped lambda calculus, explain its reduction and<br />

substitution rules and go on to doing arithmetic with the lambda calculus with the help of<br />

church numerals.<br />

Bases Of The Weyl Module<br />

Leithead, Alexander<br />

University of Winnipeg<br />

For each partition lambda of and integer n there is a GL(C) module called the Weyl<br />

module. There are many bases for the Weyl module and all of these bases are indexed by<br />

semi-standard lambda tableaux. We seek a change of basis matrix between two of these<br />

bases, and a proof that the change of basis matrix has 1s down the main diagonal will be<br />

given. Prerequisites: Basic group theory and a little familiarity with basic representation<br />

theory will not hurt, but it is not strictly necessary.<br />

18


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Fractals and Dimension!<br />

Li, Janet<br />

University of Toronto<br />

The presentation will first introduce fractals for people with little background. Examples<br />

from nature as well as mathematical constructions will be given (Cantor set, the beautiful<br />

Mandelbroit set..etc) Their properties will be discussed. Most notably an analysis of their<br />

dimension will be given. This will require discussion of different dimensional measures,<br />

including but not limited to the Hausdorff measure and dimension. If time allows examples<br />

of random fractals will be given and discussed in more detail.<br />

An introduction to matroids and Rota’s Conjecture.<br />

Lipka, Chester<br />

Matroids Theory is a relatively new branch in <strong>mathematics</strong> that started in the 1930’s.<br />

The concept of a matroid will be introduced and a short introduction to Rota’s conjecture<br />

will be given.<br />

Kasiski and Friedman attacks as a means to decode<br />

Vigenere ciphers.<br />

Mallet-Paret, Julie<br />

An Introduction to Cut and Paste Topology<br />

Mann, Kathryn<br />

University of Toronto<br />

Have you ever wondered what happens when you slice a Klein bottle in two In this talk,<br />

we’ll look at some of my favourite two-dimensional manifolds and see what happens when<br />

you attach, collapse and gcut and pasteh things together. Prerequisites: None! But you’ll<br />

get a bit more out of the talk if you’ve taken a basic topology course. If you can define<br />

gquotient maph and give two examples of them on real projective 2-space, you probably<br />

know too much. But come for the Klein bottle dissection anyway!<br />

19


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Some Transcendental Sums (or how you know a<br />

number)<br />

Martel, Justin Harry<br />

University of Ottawa<br />

Through an exploration of DH Lehmer’s generalized Euler constants and Baker’s main<br />

result on linear forms in logarithms, the transcendental (or algebraic) nature of a class of<br />

infinite sums of rational functions is established. Furthermore, by the classical Lindemann-<br />

Weierstrass theorem, and a result of Nesterenko on the algebraic independance of an algebraic<br />

number and its exponential, a curious sum involving the exponential series and a periodic<br />

algebraically-valued function is demonstrated. That transcendental number theory is concerned<br />

with the very central structure of a number is clear, and I shall hope to convey during<br />

the talk the wonderful interplay between analysis and algebra that makes this field of number<br />

theory one of the most promising and fertile of our times.<br />

The Strong Metric Dimension of<br />

Distance-Hereditary Graphs<br />

May, Terri<br />

University of Winnipeg<br />

Let G be a connected graph. A vertex r resolves a pair u,v of vertices of G if u and v are<br />

different distances from r.<br />

A set R of vertices of G is a resolving set for G if every pair of vertices of G is resolved by<br />

some vertex of R. The smallest cardinality of a resolving set is called the metric dimension<br />

of G. A vertex r strongly resolves a pair u,v of vertices of G if there is some shortest u-<br />

r path that contains v or a shortest v-r path that contains u.<br />

A set S of vertices of G<br />

is a strong resolving set for G if every pair of vertices of G is strongly resolved by some<br />

vertex of S; and the smallest cardinality of a strong resolving set of G is called the strong<br />

dimension of G. It is known that both the problem of finding the metric dimension and<br />

strong dimension is NP-hard. Both the metric and strong dimension can be found efficiently<br />

for trees. In this presentation, we give an efficient solution for finding the strong dimension<br />

of distance-hereditary graphs, a class of graphs that contains the trees.<br />

The Hausdorff Measure<br />

Mistry, Shilan<br />

McGill University<br />

Mathematics has concerned itself with sets and functions and consequently applied the<br />

methods of classical calculus. Generally sets and functions that are not sufficiently smooth or<br />

regular have not be dealt with properly. However, these ’rough’ sets are more representative<br />

of natural phenomena. This gives rise to fractal geometry that deals with self-similarity,<br />

often found to occur natural in the world. Central to fractal geometry is the notion of<br />

dimension, a way of quantifying how irregular or convoluted a set is. Here I present the<br />

development of the Hausdorff Measure a way of measuring the roughness of a set. I will<br />

show its application to one of the oldest fractals in <strong>mathematics</strong>, Cantor dust. Prerequisites:<br />

A working knowledge of measure theory would help, but at least one year of analysis.<br />

20


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Doughnut Go In There: Symmetry Groups and<br />

Dehn Fillings<br />

Moscovici, Jonathan<br />

McGill University<br />

What’s up with the symmetry groups of the complements of 3-D manifolds after Dehn<br />

Fillings If it is possible to describe a Dehn Filling with a rational number, which ones give<br />

rise to new symmetry groups Also, what is a Dehn Filling, anyway The intent of this talk<br />

is not to dispense answers but rather to reach a better understanding of the questions. No<br />

prior knowledge necessary although familiarity with doughnuts and jelly is an asset.<br />

Incompleteness: Why Godel is misunderstood<br />

Motamedi, Sina<br />

University of Toronto<br />

First I will breifly explain the results of Godel’s incompleteness theorems and try to clarify<br />

many misconceptions of what they say. Next, I will discuss the relevenace and irrelevance<br />

of the incompleteness theorems when applied to ’regular/daily’ <strong>mathematics</strong>. I will then go<br />

further to critique the use of incompleteness by many people to explain non-formal and nonmathematical<br />

subjects such as religion, philosophy, eithics/morality, law, evolution biology,<br />

quantum physics, etc.<br />

On the Equation of Continuity and the Dynamics of<br />

Continuous Media<br />

Nikolaev, Nikita<br />

University of Toronto<br />

Using the elementary notions of three-dimensional vector analysis and field theory, we<br />

derive and examine the equation of continuity as well as some basic equations of the dynamics<br />

of continuous media. These are among the central equations of mathematical physics. The<br />

material presented here represents one of many examples of exquisite application of field<br />

theory methodology.<br />

Prerequisites: Elements of field theory and vector analysis. Basic knowledge of theoretical<br />

mechanics, though not compulsory.<br />

21


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

An Introduction To Morse Theory<br />

Parkinson, Robert<br />

University of Calgary<br />

This talk will be an elementary exposition of the basic ideas surrounding Morse Theory.<br />

We will cover the basic elements of the finite and infinite dimensional case. If time permits<br />

we will introduce some of the modern perspectives on Morse Theory, such as morse homology<br />

and supersymmetry. This talk should be accessible to anyone with a solid background in<br />

multivariable calculus, though some comfort with topology and manifolds may be beneficial.<br />

P-ordering and its Connection to Integer Valued<br />

Polynomials<br />

Pavlovski, Mark<br />

Dalhousie University<br />

In this talk I will introduce integer-valued and Gaussian integer-valued polynomials as<br />

subsets of Q[x], and talk about their properties and applications. I will try to describe these<br />

subsets in terms of ”basis”, and draw some connections to the concept of p-ordering, with<br />

examples in Z and Z[i].<br />

Amenable groups and Folner nets<br />

Pawliuk, Micheal<br />

University of Winnipeg<br />

The definition of an amenable group comes to us from functional analysis, however, the<br />

amenability of a locally compact group is characterized by the existence of a Folner net.<br />

These nets are closely related to the group’s structure, which is quite useful. The proof<br />

that every amenable group contains a Folner net is nonconstructive, so much research has<br />

been done to provide constructions of Folner nets for specific classes of amenable groups.<br />

Examples of amenable groups, like solvable, abelian and compact groups, will be presented,<br />

and certain properties of amenable groups will be discussed. Specifically, Folner nets will be<br />

constructed for semidirect products of amenable groups, like the Heisenberg group . Much of<br />

this will be based on the paper ”Folner Nets for Semidirect Products of Amenable Groups”<br />

by David Janzen.<br />

22


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Méthode de redimensionnement d’fimages<br />

Pouliot, Benoit<br />

Universite Laval<br />

Ariel Shamir et Shai Avidan ont publiés en 2007 un article s’fintitulant Seam Carving<br />

for Content-Aware Image Resizing. Ils y d’Lvellopent une toute nouvelle méthode pour<br />

redimensionner les images. Dans cette présentation, on expliquera cette méthode et on<br />

mettra un accent sur son aspect mathématique. La presentation se fera en français avec un<br />

support visuel en anglais.<br />

Ariel Shamir and Shai Avidan puplished in 2007 an article called Seam Carving for<br />

Content-Aware Image Resizing. They develop in this paper a new method to resize images.<br />

In this talk, we will explain this method and his mathematical aspect. The talk will be in<br />

french wich visual support in english.<br />

En route vers le chaos... / The road to chaos ...<br />

Proulx, Louis-Xavier<br />

Universite de Montreal<br />

Non, cet expose ne traitera pas specifiquement du chaos, mais plutot du chemin qui nous<br />

y conduit. Vous serez introduit a une branche des mathematiques connue sous le nom des<br />

systemes dynamiques. Nous verrons comment une equation simple a premiere vue cache un<br />

comportement beaucoup plus complexe qu’il ne le laisse parraitre. A travers les bifurcations<br />

de doublement de periode, nous degagerons les differentes proprietes qui caracterisent le<br />

phenomene d’universalite de Feigenbaum. Finalement, si le temps nous le permet, nous<br />

verrons comment des objets mathematiques tel que l’ensemble de Cantor surgissent a travers<br />

de tels systemes.<br />

No, this talk won’t deal directly with chaos, but rather the path that leads us there. You<br />

will be introduced at a branch of <strong>mathematics</strong> known as Dynamical Systems. We will see how<br />

a map, simple at first sight, hides a much more complex behavior than it appears. Through<br />

the period-doubling bifurcations, we will show the different properties that characterize the<br />

phenomenon of Feigenbaum’s universality . Finally, if there’s still some time left, we will see<br />

how mathematical objects such as the Cantor set arise through such systems.<br />

The Small Chvatal Rank of Fractional Polytopes<br />

Raymond, Annie<br />

Massachusetts Institute of Technology<br />

There exist different methods to find the largest polytope with integer vertices sitting<br />

within any given polytope. The small Chvatal rank is one such method, which happens<br />

to be quite efficient. In this talk, we’ll apply it to a specific kind of polytopes: fractional<br />

ones. Moreover, this will allow us to play with the very elusive stable set polytopes. No<br />

prerequisite knowledge is required.<br />

23


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Toto, I have a feeling we’re not in Kansas anymore:<br />

Understanding Tornadoes<br />

Razy, Alissa<br />

McGill University<br />

Why do most tornadoes spin cyclonically Why do most tornado-spawning thunderstorms<br />

propagate to the right To try to understand tornadoes we will look to the anelastic equations<br />

through the lens of linear theory. Knowledge of atmospheric science not needed.<br />

An Introduction to Fluid Mechanics<br />

Rippel, Oren<br />

University of British Columbia<br />

I will briefly develop the fundamental concepts of fluid mechanics. I will discuss the<br />

assumption of continuum mechanics, and derive the equation of continuity, Euler’s equations,<br />

the stress tensor, and the Navier-Stokes equations. If time permits, I will scan other aspects<br />

of the topic. The audience is expected to be comfortable with multivariable calculus, and<br />

basic physics.<br />

An Introduction to Metric Geometry and Length<br />

Structures<br />

Ross, Carol<br />

Dalhousie University<br />

Metric geometry attempts to provide an intuitive means of understanding the geometry of<br />

a space. In this talk, I will present the notions of a length structure and its derived metric.<br />

This metric is ’intuitive’ in the sense that it arises from a previously defined class of admissible<br />

paths in the space. For example, when measuring distance in mountainous terrain, a possible<br />

measure of distance is ’as the crow flies’. However, this distance is meaningless for anyone<br />

wishing to travel from one peak to another; instead, we can restrict our attention only to<br />

paths along the surface of the earth to get a metric that reflects the difficulty of travelling in<br />

mountains. This presentation will explore introductory metric geometry by means of similar<br />

examples.<br />

24


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Attack of the Tyranotorus : An overview of<br />

torus-based cryptography<br />

Roy, Christian<br />

University of Ottawa<br />

Since the beginning of time, people have been trying to keep secrets from each other. For<br />

this purpose, mathematicians invented cryptography. Yet, a new problem arises in modern<br />

society : High security in small devices. The recent arrival of torus-based cryptography, with<br />

it’s compression mechanism,came as a promising way around the problem...that is, if we are<br />

careful about the tyranotorus! We will explore the intriguing discrete logarithm problem,<br />

the mighty index calculus attack and the subtleties of the torus compression mechanism.<br />

Note : No particular background is required.<br />

Predicting the mutation of Influenza A virus<br />

Sabelnykova, Veronica<br />

York University<br />

Influenza is an RNA virus that originated in birds and has adapted and spread to animals<br />

and humans. Influenza is a serious illness that kills millions of people around the world. In<br />

the 20th century there have been three influenza pandemics which were caused by antigenic<br />

shift, i.e. the appearance of a new strain of the virus in humans. Each year we experience<br />

an influenza season in Canada. We are interested in the the type A human influenza virus<br />

that causes these epidemics. There are many subtypes of this virus, due to changes in the<br />

surface proteins HA and NA. Currently there are only three known type A human subtypes<br />

of influenza virus: H1N1, H1N2, and H3N2. Within each season influenza virus undergoes<br />

genetic drift, which is caused by random mutations, creating a variation of strains that can<br />

co-circulate in a given season. The purpose of our project is to predict the prevalence of<br />

influenza variants arising from an influenza season, so as to determine which strain may<br />

be present the next year. This has serious implications in health policy and vaccination<br />

development. A simplified, yet sufficiently representative, model is used to describe the<br />

dynamics of the virus, and includes mutation, vaccination, and cross-immunity parameters.<br />

The next generation method is used to obtain the reproductive ratio, which is then used<br />

to assess whether the virus will persist or not. Also we hope to account for the possible<br />

co-circulating strains that can become established as a result of vaccinating against the<br />

predicted strain.<br />

Group theory and Rubik’s cubes<br />

Sadanand, Chandrika<br />

University of Toronto<br />

I will be breifly outline the Rubik’s group in the regular 3 dimensional Rubik’s cube,<br />

and then extending the Rubik’s operations, geometry and important subgroups to higher<br />

dimensions.<br />

25


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

An introduction to quantum entanglement<br />

Sanders, Yuval<br />

University of Calgary<br />

The existence of entanglement has been known since the days of Einstein, but it is only<br />

recently that entanglement has been recognised as a resource which can be used. It is<br />

now understood that entanglement can be used to perform informational tasks that would<br />

be impossible without such a resource. This talk aims to introduce entanglement to the<br />

audience and presents the counterintuitive results that make this subject so fascinating.<br />

Good integral solutions to feasible network flow<br />

problems<br />

Sharpe, Malcom<br />

University Of Waterloo<br />

Suppose an optimization algorithm has told us to send a fractional number of trucks<br />

between two of our warehouses, and we can only send an integer number of trucks. This<br />

is an example of being given a nonintegral solution to a feasible network flow problem and<br />

wanting to find an integral solution that is close to it. We might guess that we should always<br />

round each non-integer to one of the two closest integers. In fact, doing this can sometimes<br />

make our integral solution farther away than it otherwise would be! In this talk, I will give<br />

an overview of the minimum-cost network flow and feasible flow problems, with an example<br />

application to table rounding. Then I will present results from my research that show that<br />

the closest integral solutions to non-integral solutions are sometimes farther if they must be<br />

roundings but that, for some notions of distance, there is a nice upper bound on how much<br />

farther they can be. Prerequisites: Basic knowledge of graphs.<br />

Euclidean and Hyperbolic Geometries<br />

St-Onge, Alexandre<br />

Universite Laval<br />

The aim of this talk is to introduce the analytic approach to euclidean and hyperbolic<br />

geometries. To achieve this goal, we will study the euclidean plane and two models of the<br />

hyperbolic plane. We will also study euclidean and hyperbolic isometries ; an isometry is<br />

a function which preserves the distance on either the euclidean plane or a model of the<br />

hyperbolic plane. To complete the overview of these geometries, we will discuss euclidean<br />

and hyperbolic surfaces.<br />

26


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Mathematics and Metaphysics: from the Platonic<br />

Tradition into the 20/21st Century.<br />

Su, Phoebe<br />

University of Waterloo<br />

This presentation proposes to discuss relationships between the study and endeavour of<br />

<strong>mathematics</strong>, and metaphysical pursuits about ’what there is’. To begin, we look at the<br />

Platonic tradition of the ’Theory of Forms’, the five gradations of Knowledge/ Reality (Letter<br />

VII, 342A ff), what is ’the Good’, and wherein lies <strong>mathematics</strong> and ’the engagement<br />

of commensurately measuring’. We then proceed to discuss the arguable pre-eminence of<br />

Axiomatic Set Theory and what it implies about the structure of reality, how <strong>mathematics</strong><br />

relates to ’the Good’ and ’the Beautiful’ and the domain of Morality, and attempt to answer<br />

the question ”What are/should be the projects of contemporary <strong>mathematics</strong>, with respect<br />

to metaphysics”. A basic appreciation of metaphysics and a basic understanding of Plato’s<br />

early theory of Forms are required to understand this talk.<br />

Random Graph Theory<br />

Su, Yi<br />

University of Waterloo<br />

At first, I will introduce some basics about random graphs, which include some random<br />

graph models, the connection between those models, and some basic theorems and facts.<br />

Then I will present some topics in my research recently, which is finding the asymptotic<br />

properties of the longest closed trail in a random graph model, and give some result known<br />

on it. Some background in graph theory needed.<br />

Pairwise Independence and the Max Cut problem<br />

Szestopalow, Michael<br />

University of Waterloo<br />

The Max Cut problem is one of Karp’s 21 NP-Complete problems. This means that it is<br />

unlikely that there exists an efficient deterministic algorithm to find an exact solution. Thus,<br />

we rely greatly on algorithms that approximate exact solutions. After defining the problem,<br />

we will examine a well known randomized approximation algorithm. Then, by exploiting the<br />

notion of pairwise independence, we will “derandomize” our original algorithm to produce<br />

an algorithm which is completely deterministic. This new algorithm guarantees an output<br />

of at least 1 2 the optimal value and runs in O(|V |2 ) time (where V is the set of vertices in<br />

the graph). Prerequisites: Basic graph theory and basic probability theory useful, but not<br />

necessary.<br />

27


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Differential Galois theory applied to mathematical<br />

physics<br />

Teeple, Brett<br />

University of Calgary<br />

In this talk, the Galois theory of differential equations will be applied to finding certain<br />

solutions to linear differential equations. In particular, solutions to differential equations<br />

describing quasi-normal modes of black holes in various space-time geometries will be found.<br />

We search for so-called Liouvillian solutions (those generated by exponentials of integrals of<br />

rational functions and square roots), which are often easily constructed using an algorithm<br />

of Kovacic. This algorithm will be presented along with some basic notions of differential<br />

fields and the Galois theory of differential equations. Knowledge of Galois theory will not<br />

be assumed. Beginning with a differential equation with coefficients over a field K (like the<br />

rational functions), we examine the field structure of its solutions. These fields are in fact<br />

differential fields, and their extensions to fields L by solutions of the differential equation are<br />

differential, for there is a derivation that commutes with the elements of the Galois group of<br />

the extension, Gal(L : K). The algorithm of Kovacic gives conditions on the Galois group for<br />

the integrability of the differential equation into Liouvillian solutions, and simultaneously<br />

constructs the solutions in the cases they exist.<br />

This theory is rich in applications to differential equations, and also in other areas of<br />

mathematical physics, including gauge field theory and integrability of Hamiltonian systems.<br />

Time and student interest permitting, such applications will be discussed as well.<br />

Random Graphs and the Probabilistic Method<br />

Tichon, Jenna<br />

University of Winnipeg<br />

Define Gn to be the sample space of all graphs of order n. If a graph G Gn is selected<br />

by a probability function P we say that G is a random graph. In this talk we will show<br />

how random graphs can be analysed using the probabilistic method through expectations<br />

and asymptotic limits. We will also explore the construction of random graphs through<br />

simulation and the use of Monte Carlo methods to empirically test graph properties. Some<br />

basic knowledge of graph theory is assumed in this talk.<br />

28


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Evolved Art, Planetary Motion, and Dynamical<br />

Systems<br />

Tsang, Jeffrey<br />

University of Guelph<br />

Evolved art is a subfield of evolutionary computation, the use of artificially simulated (not<br />

necessarily biological) evolution for solving complicated problems. As the name implies it is<br />

the use of evolutionary computation to produce works of art. A main goal is being able to<br />

produce art without human intervention. Presented here is such a user-less system based on<br />

numerical integration on the N-body problem, or point particles under Newtonian gravity<br />

alone. A demonstration and discussion of the results, and possible extensions to dynamical<br />

systems follows. Prerequisites (saw it in old abstract lists): basic rudiments of calculus,<br />

differential equations and numerical methods<br />

A Glance at Invariant Rings of Permutation Groups<br />

Turner, Graeme<br />

Memorial University of Newfoundland<br />

The purpose of this presentation is to obtain an elementary understanding of the nature<br />

of Invariant Theory and to explore some of the problems of the field with regards to permutation<br />

groups. We will begin with a quick overview of the material required to understand<br />

the desired problems in Invariant Theory and move on to concepts such as the Hilbert series<br />

and Molien’s Formula, followed by a few examples to demonstrate their use. A basic understanding<br />

of Groups, Rings, and Factor (or Quotient) Rings is required to understand this<br />

talk.<br />

Groups Acting on Trees<br />

Vinogradova, Polina<br />

Carleton University<br />

Group actions on a Cayley graph Gamma (G, S) exhibit some interesting behavious. I<br />

will discuss concepts like trees of representatives of such a graph, fundamental domains,<br />

stabilizers of vertices/edges, and show how tightly intertwined they are with the properties<br />

of the group G.<br />

29


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

On A Simple Intrinsic Proof Of Gauss-Bonnet<br />

Theorem<br />

Wang, Yu<br />

The Gauss-Bonnet Theorem is one of the most fabulous classical theorems in global differential<br />

geometry, It not only establishes a connection between local and global properties<br />

of 2-dimensional Riemannian manifolds, but also joins geometry of surfaces, in terms of curvature,<br />

and their topology, in the sense of Euler characteristic. In classical proofs use is still<br />

make of the imbedding of a Riemannian cell in a euclidean space. The object of this talk<br />

is to present a direct intrinsic proof of the theorem by making use of modern differential<br />

geometric methods. The proof illustrates one of the core methods in modern differential<br />

geometry.combination of Exterior Differential Calculus and Method of Moving Frames; and<br />

reveal the geometrical meaning of the Guassian curvature in a more clear context. The<br />

proof is first given by S.S Chern and it is applied to all even dimensional closed Riemannian<br />

manifolds. Without losing the key idea and main method of the original proof, I will restrict<br />

to the 2-dimensional closed surface case to avoiding certain overwhelming calculations and<br />

technical diffculties.<br />

The Steiner Tree Problem in Graphs<br />

Wei, Yehua<br />

University Of Waterloo<br />

Given a graph G =(V, E, c) (V the vertex set, E the edge set and c the cost of each<br />

edge), a terminal set R contained in V, a Steiner tree is a tree in G which spans the entire<br />

R. The Steiner tree problem is to find the smallest Steiner tree with respect to cost c. This<br />

problem is known to be NP-hard. In this talk, I will give a survey of several approximation<br />

aglorithms for the Steiner tree problem, while also introduce a LPrelaxations to the problem.<br />

Light background in graph theory, linear programming will be useful.<br />

How to Count with Burnside’s Lemma<br />

Wong, Margaret<br />

McGill University<br />

Burnside’s Lemma is a result in group theory which is often useful in taking account of<br />

symmetry when counting mathematical objects. I will give a proof using the orbit-stabilizer<br />

theorem as well as give a few examples of its applications. An understanding of the basic<br />

concepts of groups is recommended but not required. I will give all required definitions.<br />

30


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Fibonacci Numbers and the Binet Formula<br />

Woodard, Katherine<br />

McGill University<br />

Have you ever wanted to learn a real life, useful application of the Fibonacci sequence<br />

Or, have you ever wondered what the 1000thFibonacci number looked like I’m going to<br />

cover all of that and a whole lot more through working with the Golden Ratio to derive the<br />

Binet Formula. It’s basic, elementary and fun!<br />

Banach algebras and the exponential spectrum<br />

Younsi, Malik<br />

Laval University<br />

Let A be a Banach algebra, i.e. an associative algebra over the complex numbers which<br />

is a complete normed space. The norm is also required to satisfy xy . x y x, y A. A classic<br />

example is Mn (C), the algebra of n n complex matrices with the usual matrix norm. If<br />

G(A) denotes the set of invertible elements of A, one can consider the spectrum of an element<br />

xA: Sp x = C : 1 . x G(A). It is well known that for a, b A, we have Sp ab 0 = Sp ba 0.<br />

(1) Another type of spectrum first introduced by Robin Harte naturally arises in the theory<br />

of Banach algebras : the exponential spectrum. If G1 (A) denotes the connected component<br />

of G(A) that contains 1, the exponential spectrum of x A is defined by (x) = C : 1 . x<br />

G1 (A). During this talk, I will present my summer research project supervised by Thomas<br />

Ransford, which consists of determining whether or not (1) also holds for the exponential<br />

spectrum. Interesting results and ideas for a counterexample will be presented.<br />

31


Invited Speakers: Talk Titles and<br />

Abstracts<br />

Non-Commutative Gaussian Elimination and Rubik’s<br />

Cube<br />

Dror Bar-Natan<br />

University of Toronto<br />

http://www.math.toronto.edu/ drorbn/Talks/<strong>CUMC</strong>-0807/<br />

A simple generalization of Gaussian elimination to a non-commutative setting allows us<br />

to solve the cube and a dozen other permutation group puzzles in no effort at all.<br />

Le Monde des Permutations<br />

Nantel Bergeron<br />

Université York<br />

Il y tant a dire à propos du groupe symétrique. Nous prsentons quelques notions algébriques<br />

et combinatoires associées aux permutations de 1,2,...n.<br />

From student to retired professor:<br />

half-century of Mathematics<br />

Edward Barbeau<br />

University of Toronto<br />

perspectives on a<br />

32


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Analysis and modeling with nonlinear partial differential<br />

equations; or how I became resigned to waiting at<br />

traffic lights<br />

Barbara Keyfitz<br />

University of Houston and Fields Institute<br />

I will develop some theory of first-order partial differential equations and show how a<br />

simple equation is used to describe traffic flow, and how it explains some things about traffic<br />

jams. I will also spend a few minutes showing some current research problems related to<br />

this.<br />

Is seeing believing<br />

experiment.<br />

Alexander Holroyd<br />

University of British Columbia<br />

Cellular automata in theory and<br />

Cellular automata attempt to model reality via simple local rules. Despite their simplicity,<br />

they exhibit a wide range of astonishing behaviour. Computer simulations can provide valuable<br />

insights, but can also be misleading unless coupled with mathematical understanding.<br />

I’ll illustrate this with models for snowflakes, nucleation, and traffic.<br />

For some pictures see:<br />

http://www.math.ubc.ca/ holroyd/boot/<br />

http://www.math.ubc.ca/ holroyd/bml/<br />

http://psoup.math.wisc.edu/Snowfakes.htm<br />

33


Canadian Undergraduate Mathematics Conference 2008 at University of Toronto<br />

Wed Jul 9 – Sat Jul 12, 2008 (Eastern Time)<br />

08:00<br />

Wednesday 9/7 Thursday 10/7 Friday 11/7 Saturday 12/7<br />

Breakfast - Déjeuner<br />

08:00 - 08:45<br />

Breakfast<br />

08:00 - 08:45<br />

Breakfast - Déjeuner<br />

08:00 - 08:45<br />

09:00<br />

Conference Block - Bloc d'exposés<br />

09:00 - 09:40<br />

Conference Block - Bloc d'exposés<br />

09:00 - 09:40<br />

Conference Block - Bloc d'exposés<br />

09:00 - 09:40<br />

10:00<br />

Conference Block - Bloc d'exposés<br />

09:50 - 10:30<br />

Conference Block - Bloc d'exposés<br />

09:50 - 10:30<br />

Conference Block - Bloc d'exposés<br />

09:50 - 10:30<br />

11:00<br />

Conference Block - Bloc d'exposés<br />

10:50 - 11:15<br />

Conference Block - Bloc d'exposés<br />

10:50 - 11:15<br />

Conference Block - Bloc d'exposés<br />

10:50 - 11:15<br />

12:00<br />

Keynote - Plénièr: Nantel Bergeron<br />

11:30 - 12:30<br />

Keynote - Plénière: Barbara Keyfitz<br />

11:30 - 12:30<br />

Keynote – Plénière: Alexander Holroyd<br />

11:30 - 12:30<br />

13:00<br />

14:00<br />

15:00<br />

16:00<br />

Registration - Inscription<br />

13:00 - 16:30<br />

Lunch<br />

12:30 - 13:30<br />

Conference Block - Bloc d'exposés<br />

13:30 - 14:10<br />

Conference Block - Bloc d'exposés<br />

14:20 - 14:45<br />

Keynote - Plénière: Edward Barbeau<br />

15:00 - 16:00<br />

Free time - Temps libre.<br />

16:00 - 22:00<br />

MITACS<br />

12:30 - 13:00<br />

Lunch<br />

13:00 - 14:00<br />

Conference Block - Bloc d'exposés<br />

14:00 - 14:40<br />

Conference Block - Bloc d'exposés<br />

14:45 - 15:10<br />

Conference Block - Bloc d'exposés<br />

15:25 - 15:50<br />

Conference Block - Bloc d'exposés<br />

15:55 - 16:35<br />

Free Time to Explore Toronto! - Temps<br />

libre à découvrir Toronto!<br />

12:30 - 19:00<br />

17:00<br />

18:00<br />

Opening Remarks and Keynote -<br />

Remarques Préliminaires et Plénière:<br />

Dror Bar-Natan<br />

17:00 - 18:30<br />

Free time - Temps libre<br />

16:35 - 22:00<br />

19:00<br />

Banquet<br />

19:00 - 22:00<br />

Banquet<br />

19:00 - 22:00


Conference Schedule: Details<br />

Thursday, July 10th<br />

Time Speaker and Title Room<br />

Berekat, Farzin: Equality of Ribbon Schur Q-Functions BA 2130<br />

Cylwa, Michelle and Hurajit, Laura: Transient<br />

Probabilities for M/M/1/c quese via path counting<br />

BA 2135<br />

(Queueing theory)<br />

9:00-9:40 Bélanger-Rioux, Rosalie: Spectrum and expansion of<br />

biregular graphs<br />

BA 2139<br />

Guillon, AJ: Pi Calculus BA 2145<br />

Li, Janet: Fractals and Dimension BA 2165<br />

BA 2195<br />

Turner, Graeme: A glance at Invariant Rings of<br />

Permutation Groups<br />

BA 2130<br />

Proulx, Louis-Xavier: En route vers le chaos BA 2135<br />

Wei, Yehua: The Steiner Tree Problem in Graphs BA 2139<br />

9:50-10:30<br />

Crooks, Peter: A compex-analytic approach to proving<br />

BA 2145<br />

the fundamental theorem of algebra<br />

Hahn, Ezra: Farey Sequences and Ford Circles BA 2165<br />

BA 2195<br />

Pouliot, Benoît: Méthode de redimensionnement<br />

d’images<br />

BA 2130<br />

Bridgeman, Leila Why Airplanes Fly: A Brief Introduction<br />

to Fluid Dynamics<br />

BA 2135<br />

10:50-11:15<br />

Ross, Carol: An Introduction to Metric Geometry and<br />

Length Structures<br />

BA 2139<br />

Armstrong, Devon: Optimization of the Czochralski<br />

method for InSb crystal growth<br />

BA 2145<br />

Mallet-Paret, Julie: Kasiski and Friedman attacks as a<br />

means to decode Vigenere ciphers<br />

BA 2165<br />

K E Y N O T E S P E A K E R :<br />

11:30-12:30 Bergeron, Nantel<br />

MS 2172<br />

Le Monde des permutations<br />

Rippel, Oren: An Introduction to Fluid Mechanics BA 2130<br />

Glynn-Adey, Parker: Numeration Systems BA 2135<br />

13:30-14:10<br />

Fan, Wei: Summantion BA 2139<br />

Alfaisal, Faisal: The invariant subspace problem BA 2145


Thursday, July 10th (cont.)<br />

Hannigan-Daley, Brad: Generalized abstract nonsense BA 2130<br />

Razy, Alissa: Toto, I have a feeling we're not in Kansas<br />

anymore: Understanding Tornadoes<br />

BA 2135<br />

14:20-14:45<br />

Grewal, Gurleen: A game theoretic perspective on peerto-peer<br />

systems: Incentives and payoffs<br />

BA 2139<br />

Campbell, Natalie: Sign Pattern Analysis and<br />

Classification<br />

BA 2145<br />

Haley, Charlotte: The Stirling Numbers of the second<br />

kind, Multinomial Coefficients, and a Generalized<br />

BA 2165<br />

Pascal's Triangle.<br />

K E Y N O T E S P E A K E R :<br />

15:00-16:00<br />

Barbeau, Edward:<br />

From student to retired professor: perspectives on a<br />

MS 2172<br />

half-century of <strong>mathematics</strong><br />

Moscovici, Jonathan: Doughnut Go In There: Symmetry<br />

Groups and Dehn Fillings<br />

BA 2130<br />

16:10-16:35<br />

Pavlovski, Mark: P-ordering and its Connection to<br />

Integer Valued Polynomials<br />

BA 2135<br />

Evans, Julia: A foray into algebraic graph theory BA 2139<br />

Buono, Pietro-Luciano: Graduate Studies in Modelling<br />

and Computational Science at UOIT<br />

BA 2145<br />

Vinogradova, Polina: Groups Acting on Trees BA 2130<br />

Woodard, Katherine: Fibonacci Numbers and the Binet<br />

Formula<br />

BA 2135<br />

16:40-17:05<br />

Wong, Margaret: How to Count with Burnside's Lemma<br />

BA 2139<br />

Hanz, Paul: Optimal Design of a Biolistic Gene-Particle<br />

Delivery System<br />

BA 2145


Friday, July 11th<br />

Time Speaker and Title Room<br />

9:00-9:40<br />

Mann, Kathryn: An Introduction to Cut and Paste<br />

Topology<br />

Teeple, Brett: Differntial Galois theory applied to<br />

mathematical physics<br />

Raymond, Annie: the Small Chyatal Rank of Fractional<br />

Polytopes<br />

BA 1160<br />

BA 2130<br />

BA 2135<br />

Fortier Bourque, Maxime: Higher-order pseudospectra BA 2139<br />

9:50-10:30<br />

BA 2145<br />

Cheng, Oliver: The Mathematics of Juggling BA 1160<br />

Leithead, Alexander: Bases of the Weyl Module BA 2130<br />

Motamedi, Sina: Incompleteness – why Godel is<br />

BA 2135<br />

misunerstood<br />

BA 2139<br />

Gollinger, William: When is a 3-sphere not a 3-sphere BA 2145<br />

10:50-11:15<br />

11:30-12:30<br />

14:00-14:40<br />

Dos Remedios, Arron: Online Algorithms for Multi-Unit<br />

Auctions with Unknown Supply<br />

BA 1160<br />

Roy, Christian: Attack of the Tyranotorus : An overview<br />

of torus-based cryptography<br />

BA 2130<br />

Younsi, Malik: Banach algebras and the exponential<br />

spectrum<br />

BA 2135<br />

Bomers, Victor: Probabilistic inference on ChIPsequencing:<br />

A statistical approach to modelling<br />

BA 2139<br />

genome-wide maps of chromatin states<br />

Sharpe, Malcom: Good integral solutions to feasible<br />

network flow problems<br />

BA 2145<br />

K E Y N O T E S P E A K E R :<br />

Keyfitz, Barbara<br />

Analysis and modeling with nonlinear partial<br />

BA 1160<br />

differential equations; or how I became resigned to<br />

waiting at traffic lights<br />

Halacheva, Iva: Reidemeister’s theorem and more on<br />

knots<br />

BA 1160<br />

Pawliuk, Michael: Amenable groups and Folner nets BA 2130<br />

Barrett, Taylor: Total Positivity of Matricies BA 2135<br />

Crump, Iain: Graph Convexities and Elimination<br />

Orderings<br />

BA 2139<br />

Wang, Yu: On a simple intrinsic proof of Gauss-Bonnet<br />

thoerem<br />

BA 2145


14:45-15:10<br />

15:25-15:50<br />

15:55-16:35<br />

16:40-17:20<br />

Friday, July 11th (cont.)<br />

Su, Phoebe: Mathematics and Metaphysics BA 1160<br />

Karp, Steven: Forbidden Configurations BA 2130<br />

Chouldechova, Alexandra: Lies and Statistics BA 2135<br />

Nikolaev, Nikita: On the Equation of Continuity and the<br />

Dynamics of Continuous Media<br />

BA 2139<br />

Lang, Alex: Introduction to the untyped lambda<br />

BA 2145<br />

calculus<br />

Chambers, Gregory: Dividing a Cake without Envy BA 1160<br />

Cerezo, Richard: 'Models and Bifurcations'. BA 2130<br />

Sadanand, Chandrika: Group theory and Rubik's cubes<br />

BA 2135<br />

Hwang, Doki and Gregson, Matthew: The Sky is Falling<br />

BA 2139<br />

Barriault, Michael: Numerical Methods for Boundary<br />

Condition Problems<br />

BA 2145<br />

Chan, Vincent: Equivalents of the Axiom of Choice BA 1160<br />

May, Terri: The strong metric dimension of distancehereditary<br />

graphs<br />

BA 2130<br />

Tsang, Jeffrey: Evolved Art, Planetary Motion and<br />

Dynamical Systems<br />

BA 2135<br />

Cheng Paul/Du, Tom: Mathematics of Voting BA 2139<br />

Parkinson, Robert: an Introduction to Morse Theory BA 2145<br />

Christoff, Michael: Algebraic Topology and Distributed<br />

Computing<br />

BA 1160<br />

Bazdell, Gary: Introduction to design theory BA 2130<br />

Martel, Justin Harry: Some transcendental Sums (or how<br />

you know a number)<br />

BA 2135<br />

Dixon, Kael: An introduction to differential forms and<br />

integration<br />

BA 2139<br />

Lipka, Chester: An introduction to matroids and Rota’s<br />

conjecture<br />

BA 2145


Saturday, July 12th<br />

Time Speaker and Title Room<br />

9:00-9:40<br />

Su, Yi: Random Graph Theory. BA 1160<br />

Decker, Colin: Polynomial Approximation BA 2130<br />

Tichon, Jenna: Random Graphs and the Probabilistic<br />

Method<br />

BA 2135<br />

Szestopalow, Michael: Pairwise Independene and the<br />

Max Cut Problem<br />

BA 2139<br />

Lafleur, Olivier: An interesting decomposition of GL(2,Q) BA 2145<br />

9:50-10:30<br />

10:50-11:15<br />

11:30-12:30<br />

Mistry, Shilan: the Hausdorff Measure BA 1160<br />

Chlebovec, Christopher: Sums of Cantor Sets BA 2130<br />

Lamont, Stacey: Graph Reconstruction BA 2135<br />

Sanders, Yuval: An introduction to quantum<br />

entaglement<br />

BA 2139<br />

Carphin, Philippe: Escher-Droste BA 2145<br />

Dart, Bradley: Loops, Rings, and Other Things BA 1160<br />

Sabelnykova, Veronica: Predicting the mutation of<br />

Influenza A virus<br />

BA 2130<br />

Boutilier, Joe: Chemometrics applications to the<br />

multivariate calibration of overlapped 1H NMR spectra BA 2135<br />

of complex mixtures<br />

St-Onge, Alexandre: Euclidean and Hyperbolic<br />

Geometries<br />

BA 2139<br />

Fortier, Jérôme: Contemplating Incompleteness BA 2145<br />

K E Y N O T E S P E A K E R<br />

Holroyd, Alexander: Is seeing believing Cellular<br />

automata in theory and experiment.<br />

BA 1160


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

UofT Campus Map<br />

BA : Bahen Building<br />

SD : Sir Daniel Wilson Residence<br />

MS : Medical Sciences Building site of two invited speakers’ lectures<br />

40


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Just for fun/Juste pour rire...<br />

Une exponentielle et une constante se promnent tranquillement dans la rue. Soudain, elles<br />

aperoivent une drivation sur le trottoir d’en face. L’exponentielle propose d’aller la voir, mais<br />

la constante ne veut pas, elle explique qu’elle n’a pas envie de s’annuler. L’exponentielle se<br />

moque un peu d’elle, et traverse le trottoir pour aller voir la drivation.<br />

“Bonjour, je suis exp(x), dit l’exponentielle<br />

- Bonjour, je suis d/dy, rplique la drivation.”<br />

Q: Why did the chicken cross the Moebius strip<br />

A: To get to the other ... er, um ...<br />

The Interesting Theorem:<br />

All positive integers are interesting.<br />

Proof:<br />

Assume the contrary. Then there is a lowest non-interesting positive integer. But, hey,<br />

that’s pretty interesting! A contradiction.<br />

Un mathmaticien, un physicien et un biologiste sont dans un train en Irlande. Par la<br />

fentre, ils aperoivent un mouton noir.<br />

“Comme c’est intéressant, s’exlame le biologiste, en Irlande, les moutons sont noirs!<br />

- On ne peut pas dire ça, réplique le physicien. Certes, il existe au moins un mouton noir<br />

en Irlande.<br />

- Allons, allons, continue le mathématicien, la seule chose que l’on puisse affirmer, c’est<br />

qu’il existe au moins un mouton, dont au moins un cˆt du mouton est noir!”<br />

Quelques mois plus tard, notre mathématicien, notre physicien et notre biologiste se retrouvent<br />

à une même conférence, qui traite d’un espace en dimension 9.<br />

Au bout d’un quart d’heure, le biologiste, complètement largué, quitte la salle. Le physicien,<br />

lui, a bien du mal à comprendre, mais s’accroche et reste jusqu’à la fin de la conférence.<br />

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Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Le mathématicien écoute tranquillement, hochant la tête de temps en temps, prenant des<br />

notes et posant à l’occasion une question pertinente.<br />

Aprés l’exposé, nos trois compères se retrouvent à la terrasse d’un café.<br />

Le biologiste soupire :<br />

“ Je n’ai vraiement rien compris. L’espace en dimension 9, bien trop abstrait pour moi.<br />

- Moi, répond le physicien, j’ai peu près compris, mais j’ai du m’accrocher !<br />

puis se tournant vers le mathématicien :<br />

- Mais toi, comment as-tu fais pour tout comprendre si facilement <br />

- Oh c’est simple, répond ce dernier. Il suffit d’imaginer en dimension n, et de prendre<br />

n = 9.<br />

“The number you have dialed is imaginary. Please rotate your phone 90 degrees and try<br />

again.”<br />

A physicist and a mathematician are sitting in a faculty lounge. Suddenly, the coffee<br />

machine catches on fire. The physicist grabs a bucket and leap towards the sink, filled the<br />

bucket with water and puts out the fire. Second day, the same two sit in the same lounge.<br />

Again, the coffee machine catches on fire. This time, the mathematician stands up, got a<br />

bucket, hands the bucket to the physicist, thus reducing the problem to a previously solved<br />

one.<br />

Une logicienne vient d’avoir un enfant. Un de ses amis lui téléphone, et lui demande :<br />

“ C’est une fille ou un garçon <br />

- Oui, rpond la logicienne. ”<br />

- Divide fourteen sugar cubes into three cups of coffee so that each cup has an odd number<br />

of sugar cubes in it.<br />

- That’s easy: one, one, and twelve.<br />

- But twelve isn’t odd!<br />

- Twelve is an odd number of cubes to put in a cup of coffee...<br />

42


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Thanks To Our Volunteers!<br />

The <strong>CUMC</strong> 2008 Organizing Committee:<br />

Executive<br />

Kathryn Mann - Co-President<br />

Iva Halacheva - Co-President<br />

Finances<br />

Olexandra Chouldechova - Treasurer<br />

Richard Cerezo - Fundraiser<br />

Operations<br />

Taisija Santare - Accommodations<br />

Maxim Veytsman - Conference Kit and Materials<br />

Communications<br />

Nikita Nikolaev - Webmaster<br />

Graham Robertson - Poster and Web Design<br />

Volunteers<br />

Ilia Smirnov, Alan Lai, Colin Decker, Ali Mousavidehshikh, Oliver Cheng, Yvonne Cheun,<br />

Michael Christoff, Olivier Lafleur, Patrick Kaifosh.<br />

43


Canadian Undergraduate Mathematics Conference 2008 University of Toronto, July 9-12<br />

Thanks To Our Sponsors!<br />

Canadian Mathematical Society<br />

The Fields Institute<br />

University of Toronto Department of Mathematics<br />

University of Toronto Department of Statistics<br />

Canadian Applied and Industrial Mathematics Society<br />

Atlantic Association for Research in the Mathematical Sciences<br />

Pacific Institute for Mathematical Science<br />

MITACS student advisory committee<br />

University of Toronto at Scarborough Department of Mathematics<br />

University of Toronto Faculty of Arts and Science<br />

Statistical Society of Canada<br />

Conference Package prepared by:<br />

Nikita Nikolaev<br />

Departments of Mathematics and Physics<br />

University of Toronto<br />

July, 2008<br />

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