•GUIDA ECONOMIA 07-08 - Università degli studi di Udine

•GUIDA ECONOMIA 07-08 - Università degli studi di Udine •GUIDA ECONOMIA 07-08 - Università degli studi di Udine

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222 prospectus udine point in the plane. Continuity for a function of two variables. Partial derivatives. The tangent plane. Local and global minima and maxima. The gradient and critical points. The Hessian matrix, necessary conditions and sufficient conditions for local extrema. Saddle points. Local extrema with constraints, Lagrange’s multipliers. Bibliography Course textbook - M. GAUDENZI, Matematica Generale (provided by the lecturer). Reading list - A. AMBROSETTI, I. MUSU, Matematica Generale e Applicazioni all’Economia, Liguori Editore. - G.C. BAROZZI, C. CORRADI, Matematica Generale per le Scienze Economiche, Il Mulino. - P. MARCELLINI, C. SBORDONE, Calcolo, Liguori Editore. MATHEMATICS ADVANCED COURSE 1 Prof. Marcellino Gaudenzi Contents - The n-dimensional space, metrical and topological properties. - Functions of several real variables. - Differential calculus for functions of several variables. - Local and global maxima and minima. - Functions of several real variables assuming vector values. - Differential calculus for functions assuming vector values. - The implicit function theorem. Bibliography - SIMON-BLUME, Matematica 2 per l’Economia e le Scienze Sociali, Univ. Bocconi Editore. - M. GAUDENZI, Lecture notes (provided by the lecturer). MATHEMATICS ADVANCED COURSE 1 (CdL CSBM) Prof. Marcellino Gaudenzi Contents - The n-dimensional space, topological and geometrical properties. - Functions of several real variables. - Differential calculus for functions of several variables. - Quadratic forms. - Convex functions. - Local and global maxima and minima. - Optimization. - Jordan and Lebesgue measures. - Multi-dimensional integrals. Bibliography - M. GAUDENZI, Lecture notes (provided by the lecturer). MATHEMATICS ADVANCED COURSE 2 Prof. Luciano Sigalotti Contents - Quadratic forms. Symmetric matrices and quadratic forms. Sign-based classification of quadratic forms. Characterization of positive and negative definite quadratic forms. Quadratic forms with linear constraints and their characterization. - Unconstrained optimization. First order necessary conditions for optimal points. Second order sufficient conditions for optimal points. - Constrained optimization. Equality constraints. The Lagrange multipliers theorem. Geometric and synthetic analysis of stationarity points. Second order sufficient conditions for constrained optimal points. - Constrained optimization. Inequality and mixed constraints.

prospectus udine 223 The Kuhn-Tucker multipliers theorem. First order necessary conditions with mixed constraints. Non-negative variables. The modified Lagrangian and first order necessary Kuhn-Tucker conditions. Second order sufficient conditions. - The envelope theorems. Optimal solution and value function. The envelope theorem. Conditions for the local existence of a solution to the parametric optimisation problem. - The envelope theorems. - Convex and concave functions. Quasiconcave functions and pseudo-concave functions. Geometric and algebraic characterization of concave and convex functions. Cobb- Douglas functions. Quasi-concave and quasi-convex functions. Pseudo-concavity in a point and in a set. Sufficient conditions for pseudo-concavity in a point. - Concave programming. Sufficient conditions for the maximum of a class C 1 concave function. Optimization for quasi-concave functions. Sufficient conditions for the qualification of constraints. Optimization for pseudo-concave functions with quasi-convex constraints. Bibliography - SIMON-BLUME, Matematica 2 per l’Economia e le Scienze Sociali, Univ. Bocconi Editore. MATHEMATICS FOR ECONOMICS Prof. Marcellino Gaudenzi Contents The space of n-dimensional real vectors. Linear dependence and independence. Subspaces. Bases. Dimension. Inner product. Matrices. Matrix multiplication. The determinant. Laplace and Binet theorems. Inverse of a matrix. Rank of a matrix. The Kronecker rule. Linear systems. The Rouchè-Capelli Theorem. Cramer’s Theorem. Linear functions. Eigenvectors and eigenvalues of a matrix. Similar matrices. Diagonalizable matrices. The Cayley-Hamilton Theorem. Quadratic forms (outlines). Bibliography - E. CASTAGNOLI, L. PECCATI, La matematica in azienda; strumenti e modelli, Egea, 1996. - M. D’AMICO, F. MARELLI, Matematica per le applicazioni aziendali, I, Algebra lineare, Etas Libri, 1996. Exam There will be a written examination consisting of exercises and theoretical questions. MATHEMATICS FOR FINANCE (CdL BE, SCSBM) Prof. Antonino Zanette (CdL BF, EBA) Prof.ssa Patrizia Stucchi Contents First Part. Mathematics of finance fundamentals under certainty conditions. Elementary financial transactions. Basic definitions: interest, discount, final value, present value, rates, factors. Financial laws: homogeneity, uniformity, decomposability. Financial rules: simple interest, compound interest, simple discount. Real rate of interest, nominal rate of interest, force of interest, capitalization factor and discount factor. Equivalent rates. Spot and forward rates. The term structure of interest rates. Second Part. Taxonomy of annuities. Present and future value of various types of annuities (immediate-deferred, ordinarydue, perpetuities, annuities payable k- thly). Loan amortization. Amortization sched-

prospectus u<strong>di</strong>ne<br />

223<br />

The Kuhn-Tucker multipliers theorem.<br />

First order necessary con<strong>di</strong>tions with<br />

mixed constraints. Non-negative variables.<br />

The mo<strong>di</strong>fied Lagrangian and first<br />

order necessary Kuhn-Tucker con<strong>di</strong>tions.<br />

Second order sufficient con<strong>di</strong>tions.<br />

- The envelope theorems.<br />

Optimal solution and value function. The<br />

envelope theorem. Con<strong>di</strong>tions for the<br />

local existence of a solution to the parametric<br />

optimisation problem.<br />

- The envelope theorems.<br />

- Convex and concave functions. Quasiconcave<br />

functions and pseudo-concave<br />

functions.<br />

Geometric and algebraic characterization<br />

of concave and convex functions. Cobb-<br />

Douglas functions. Quasi-concave and<br />

quasi-convex functions. Pseudo-concavity<br />

in a point and in a set. Sufficient con<strong>di</strong>tions<br />

for pseudo-concavity in a point.<br />

- Concave programming.<br />

Sufficient con<strong>di</strong>tions for the maximum of<br />

a class C 1 concave function. Optimization<br />

for quasi-concave functions. Sufficient<br />

con<strong>di</strong>tions for the qualification of constraints.<br />

Optimization for pseudo-concave<br />

functions with quasi-convex constraints.<br />

Bibliography<br />

- SIMON-BLUME, Matematica 2 per l’Economia<br />

e le Scienze Sociali, Univ. Bocconi E<strong>di</strong>tore.<br />

MATHEMATICS FOR ECONOMICS<br />

Prof. Marcellino Gaudenzi<br />

Contents<br />

The space of n-<strong>di</strong>mensional real vectors.<br />

Linear dependence and independence.<br />

Subspaces. Bases. Dimension. Inner<br />

product. Matrices. Matrix multiplication.<br />

The determinant. Laplace and Binet theorems.<br />

Inverse of a matrix. Rank of a<br />

matrix. The Kronecker rule. Linear systems.<br />

The Rouchè-Capelli Theorem.<br />

Cramer’s Theorem. Linear functions.<br />

Eigenvectors and eigenvalues of a matrix.<br />

Similar matrices. Diagonalizable matrices.<br />

The Cayley-Hamilton Theorem. Quadratic<br />

forms (outlines).<br />

Bibliography<br />

- E. CASTAGNOLI, L. PECCATI, La matematica<br />

in azienda; strumenti e modelli, Egea,<br />

1996.<br />

- M. D’AMICO, F. MARELLI, Matematica per<br />

le applicazioni aziendali, I, Algebra lineare,<br />

Etas Libri, 1996.<br />

Exam<br />

There will be a written examination consisting<br />

of exercises and theoretical questions.<br />

MATHEMATICS FOR FINANCE<br />

(CdL BE, SCSBM)<br />

Prof. Antonino Zanette<br />

(CdL BF, EBA)<br />

Prof.ssa Patrizia Stucchi<br />

Contents<br />

First Part. Mathematics of finance fundamentals<br />

under certainty con<strong>di</strong>tions. Elementary<br />

financial transactions. Basic definitions:<br />

interest, <strong>di</strong>scount, final value,<br />

present value, rates, factors. Financial<br />

laws: homogeneity, uniformity, decomposability.<br />

Financial rules: simple interest,<br />

compound interest, simple <strong>di</strong>scount.<br />

Real rate of interest, nominal rate of<br />

interest, force of interest, capitalization<br />

factor and <strong>di</strong>scount factor. Equivalent<br />

rates. Spot and forward rates. The term<br />

structure of interest rates.<br />

Second Part. Taxonomy of annuities. Present<br />

and future value of various types of<br />

annuities (imme<strong>di</strong>ate-deferred, or<strong>di</strong>narydue,<br />

perpetuities, annuities payable k-<br />

thly).<br />

Loan amortization. Amortization sched-

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