Download Convex Functions, Monotone Operators and Differentiability by Robert R. Phelps PDF

By Robert R. Phelps

The enhanced and accelerated moment variation includes expositions of a few significant effects that have been got within the years because the 1st version. Theaffirmative solution through Preiss of the a long time previous query of no matter if a Banachspace with an similar Gateaux differentiable norm is a vulnerable Asplund area. The startlingly uncomplicated facts through Simons of Rockafellar's primary maximal monotonicity theorem for subdifferentials of convex services. The interesting new edition of the precious Borwein-Preiss soft variational precept because of Godefroy, Deville and Zizler. the cloth is on the market to scholars who've had a direction in sensible research; certainly, the 1st variation has been utilized in a variety of graduate seminars. beginning with convex features at the line, it results in interconnected issues in convexity, differentiability and subdifferentiability of convex services in Banach areas, standard continuity of monotone operators, geometry of Banach areas and the Radon-Nikodym estate, convex research, variational rules and perturbed optimization. whereas a lot of this can be classical, streamlined proofs came across extra lately are given repeatedly. there are various routines, lots of which shape a vital part of the exposition.

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Example text

Proof. Note, first, that because of the decreasing size Of the sets as E -+ 0+, the limit on the right exists (although it possibly equals Given E > 0, choose any x" E <\f(x), so that for t > 0 and y E E ~ t- I [f(x + ty) - f(x) o£f(x) :too) . + EJ . Let t = F ; then this becomes ~ F-l[f(X + Fy) - f(x)] + F Since the inequality (#) holds for all x" E o£f(x£ ), it follows that Note that if d+f(x)(y) = -00, then this actually yields (,,), so to prove the reverse inequality, we can assume that d+f(x)(y) > -00 .

Is convex, then so is dom(r). a funct jon f is convex ~ convex. This last fact is important; it means that certain properties of lower semicontinuous convex functions can be deduced from properties of these (rather special) closed convex subsets of E x R. One can view this as saying that the study of lower semicontinuous convex functions is a special case of the study of closed convex sets. 2 Examples. (a) Let C be a nonempty convex subset of E; then the indicator function be defined by 0e(x) = 0 if X E C, = 00 otherwise, is a proper convex function which is lower semicontinuous if and only if closed.

Some important special cases of the Bishop-Phelps density theorems are also easy corollaries. 3,20 Theorem. (Bishop-Phelps) Suppose that nonempty subset of a Banach space E. Then C (i) The support points of C are dense in the boundary is a closed convex bdry C of C. 52 (ii) The support functionals of C are dense in the cone of all those functionals which are bounded above on C. Proof. (i). Suppose that Xo E bdry C and that 0 < E < 1. Let f = be be the indicator function of C. Choose Xl E E\C such that IIXo - XlII < E and apply the separation theorem to obtain xo* E E*, IIXo*1I = 1, such that O'e(Xo*) < .

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