12.07.2015 Views

v2010.10.26 - Convex Optimization

v2010.10.26 - Convex Optimization

v2010.10.26 - Convex Optimization

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

38 CHAPTER 2. CONVEX GEOMETRYFigure 11: A slab is a convex Euclidean body infinite in extent but notaffine. Illustrated in R 2 , it may be constructed by intersecting two opposinghalfspaces whose bounding hyperplanes are parallel but not coincident.Because number of halfspaces used in its construction is finite, slab is apolyhedron (2.12). (Cartesian axes + and vector inward-normal, to eachhalfspace-boundary, are drawn for reference.)2.1.4 affine setA nonempty affine set (from the word affinity) is any subset of R n that is atranslation of some subspace. Any affine set is convex and open so containsno boundary: e.g., empty set ∅ , point, line, plane, hyperplane (2.4.2),subspace, etcetera. For some parallel 2.5 subspace R and any point x ∈ AA is affine ⇔ A = x + R= {y | y − x∈R}(10)The intersection of an arbitrary collection of affine sets remains affine. Theaffine hull of a set C ⊆ R n (2.3.1) is the smallest affine set containing it.2.1.5 dimensionDimension of an arbitrary set S is Euclidean dimension of its affine hull;[371, p.14]dim S dim aff S = dim aff(S − s) , s∈ S (11)the same as dimension of the subspace parallel to that affine set aff S whennonempty. Hence dimension (of a set) is synonymous with affine dimension.[199, A.2.1]2.5 Two affine sets are said to be parallel when one is a translation of the other. [307, p.4]

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!