Plasticity of the unit ball and related problems

Similar documents
arxiv: v1 [math.fa] 1 Nov 2017

Metric Spaces and Topology

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Problem Set 6: Solutions Math 201A: Fall a n x n,

Math 5052 Measure Theory and Functional Analysis II Homework Assignment 7

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions

Problem Set 2: Solutions Math 201A: Fall 2016

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

Compact operators on Banach spaces

Spectral theory for compact operators on Banach spaces

Set, functions and Euclidean space. Seungjin Han

Generalized metric properties of spheres and renorming of Banach spaces

Analysis Preliminary Exam Workshop: Hilbert Spaces

On nonexpansive and accretive operators in Banach spaces

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

CONVERGENCE OF APPROXIMATING FIXED POINTS FOR MULTIVALUED NONSELF-MAPPINGS IN BANACH SPACES. Jong Soo Jung. 1. Introduction

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011

WEAK CONVERGENCE OF RESOLVENTS OF MAXIMAL MONOTONE OPERATORS AND MOSCO CONVERGENCE

Mathematics for Economists

MAT 578 FUNCTIONAL ANALYSIS EXERCISES

Metric Space Topology (Spring 2016) Selected Homework Solutions. HW1 Q1.2. Suppose that d is a metric on a set X. Prove that the inequality d(x, y)

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

The numerical index of Banach spaces

CLOSED RANGE POSITIVE OPERATORS ON BANACH SPACES

Optimization and Optimal Control in Banach Spaces

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets

On John type ellipsoids

On intermediate value theorem in ordered Banach spaces for noncompact and discontinuous mappings

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Real Analysis Chapter 4 Solutions Jonathan Conder

Chapter 3: Baire category and open mapping theorems

POINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS

Part III. 10 Topological Space Basics. Topological Spaces

Convex Optimization Notes

The Bishop-Phelps-Bollobás Property and Asplund Operators

REPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS. Julien Frontisi

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t

THE GEOMETRY OF CONVEX TRANSITIVE BANACH SPACES

I teach myself... Hilbert spaces

Viscosity Approximative Methods for Nonexpansive Nonself-Mappings without Boundary Conditions in Banach Spaces

arxiv:math/ v1 [math.fa] 26 Oct 1993

Rolle s Theorem for Polynomials of Degree Four in a Hilbert Space 1

Functional Analysis I

Biholomorphic functions on dual of Banach Space

Boundedly complete weak-cauchy basic sequences in Banach spaces with the PCP

Your first day at work MATH 806 (Fall 2015)

Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping.

CONVERGENCE OF THE STEEPEST DESCENT METHOD FOR ACCRETIVE OPERATORS

The numerical index of Banach spaces

Norms of Elementary Operators

Course 212: Academic Year Section 1: Metric Spaces

Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces

ITERATIVE SCHEMES FOR APPROXIMATING SOLUTIONS OF ACCRETIVE OPERATORS IN BANACH SPACES SHOJI KAMIMURA AND WATARU TAKAHASHI. Received December 14, 1999

Math 4317 : Real Analysis I Mid-Term Exam 1 25 September 2012

LIPSCHITZ SLICES AND THE DAUGAVET EQUATION FOR LIPSCHITZ OPERATORS

In English, this means that if we travel on a straight line between any two points in C, then we never leave C.

Iterative Convex Optimization Algorithms; Part One: Using the Baillon Haddad Theorem

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis

Maths 212: Homework Solutions

USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON S EQUATION

POINT SET TOPOLOGY. Definition 2 A set with a topological structure is a topological space (X, O)

MATH 202B - Problem Set 5

(a) For an accumulation point a of S, the number l is the limit of f(x) as x approaches a, or lim x a f(x) = l, iff

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem

van Rooij, Schikhof: A Second Course on Real Functions

Introduction to Topology

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

Renormings of c 0 and the minimal displacement problem

are Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication

Best approximations in normed vector spaces

MA651 Topology. Lecture 10. Metric Spaces.

SHRINKING PROJECTION METHOD FOR A SEQUENCE OF RELATIVELY QUASI-NONEXPANSIVE MULTIVALUED MAPPINGS AND EQUILIBRIUM PROBLEM IN BANACH SPACES

Hilbert spaces. 1. Cauchy-Schwarz-Bunyakowsky inequality

The projectivity of C -algebras and the topology of their spectra

WEAK CONVERGENCE THEOREMS FOR EQUILIBRIUM PROBLEMS WITH NONLINEAR OPERATORS IN HILBERT SPACES

Monotone variational inequalities, generalized equilibrium problems and fixed point methods

Introduction and Preliminaries

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.

On metric characterizations of some classes of Banach spaces

Your first day at work MATH 806 (Fall 2015)

Basic Properties of Metric and Normed Spaces

Fragmentability and σ-fragmentability

Homework for MATH 4603 (Advanced Calculus I) Fall Homework 13: Due on Tuesday 15 December. Homework 12: Due on Tuesday 8 December

Selçuk Demir WS 2017 Functional Analysis Homework Sheet

INSTITUTE of MATHEMATICS. ACADEMY of SCIENCES of the CZECH REPUBLIC. A universal operator on the Gurariĭ space

INVERSE FUNCTION THEOREM and SURFACES IN R n

Chapter 1. Preliminaries. The purpose of this chapter is to provide some basic background information. Linear Space. Hilbert Space.

Mathematical Analysis Outline. William G. Faris

Radon-Nikodým indexes and measures of weak noncompactness

The small ball property in Banach spaces (quantitative results)

Viscosity approximation method for m-accretive mapping and variational inequality in Banach space

Iterative common solutions of fixed point and variational inequality problems

ANALYSIS WORKSHEET II: METRIC SPACES

On the simplest expression of the perturbed Moore Penrose metric generalized inverse

Examples of Dual Spaces from Measure Theory

LECTURE 15: COMPLETENESS AND CONVEXITY

Chapter 1. Introduction

ON COMPLEMENTED SUBSPACES OF SUMS AND PRODUCTS OF BANACH SPACES

arxiv: v1 [math.fa] 23 Dec 2015

Transcription:

Plasticity of the unit ball and related problems A survey of joint results with B. Cascales, C. Angosto, J. Orihuela, E.J. Wingler, and O. Zavarzina, 2011 2018 Vladimir Kadets Kharkiv National University, Ukraine Murcia, December 13, 2018

B. Cascales, V. Kadets, J. Orihuela, and E.J. Wingler, Plasticity of the unit ball of a strictly convex Banach space. RACSAM 110, No. 2, 723 727 (2016). V. Kadets, O. Zavarzina, Plasticity of the unit ball of l 1. Visn. Khark. Univ., Ser. Mat. Prykl. Mat. Mekh. 83, 4 9 (2016). O. Zavarzina, Nonexpansive bijections between unit balls of Banach spaces. Ann. Funct. Anal. 9, No. 2, 271 281 (2018). V. Kadets, O. Zavarzina, Nonexpansive bijections to the unit ball of the l 1 -sum of strictly convex Banach spaces. Bull. Aust. Math. Soc. 97, No. 2, 285 292 (2018). C. Angosto, V. Kadets, O. Zavarzina, Non-expansive bijections, uniformities and polyhedral faces. JMAA 471, Issues 1 2, 38 52 (2019).

Definition of plasticity Let U be a metric space. A map F : U U is called nonexpansive, if ρ(f(x), F(y)) ρ(x, y) for all x, y U. In 2006 S.A. Naimpally, Z. Piotrowski and E.J. Wingler introduced and studied the following property of metric spaces. Definition A metric space U is called an expand-contract plastic space (or simply, a plastic space) if every non-expansive bijection from U onto itself is an isometry. In other words, a bijective map F : U U of a plastic space either preserves all the distances, or there are both pairs of elements with increasing distances and pairs of elements with decreasing distances.

Namioka s proof of plasticity for compact spaces Ellis Theorem (1958). Let K be a compact, S C(K, K ) be a semigroup for the composition, and let Σ K K be the pointwise closure of S. The following are equivalent: 1. Each member of Σ is one to one. 2. Σ is a group with id : K K being the identity element of the group. Namioka s argument. Let K be a metric compact, F : K K be a non-contractive bijective map. Consider the semigroup S = {F n : n N} C(K, K ) and the corresponding Σ. Each member of S is non-contractive, so each member of Σ is noncontractive and hence is one to one. By Ellis theorem Σ is a group, so F 1 Σ. Consequently, F 1 is non-contractive, which means that F is an isometry.

More examples There are many other plastic spaces outside of compact ones. Say, every precompact space is plastic, and there are examples of not precompact (and even unbounded) plastic spaces. In an infinite-dimensional Banach space X there can be very good subsets that are not plastic spaces. For example, consider U = { x = (x n ) H : 0 k= x k 2 + 1 4 k=1 } x k 2 1 l 2 (Z). Define the (linear) weighted left shift operator T as follows: Te n = e n 1 for n 1 and Te 1 = 1 2 e 0. This operator maps U to U bijectively, is non-expansive and is not an isometry, so U is not plastic, but it is a closed convex and bounded set.

The main problem Remark that the set U in this example is a solid ellipsoid in a Hilbert space H, so in many senses it does not differ much from the unit ball of H. Nevertheless, in the sense of plasticity the unit ball is quite different from this U. Namely, in recent paper by Cascales, Kadets, Orihuela and Wingler it is shown that the unit ball of every strictly convex Banach space is plastic. It is an open question, whether the same result remains true without the strict convexity assumption. We also don t know the answer to an analogous question whether every bijective non-expansive map F : B X B Y between balls of two different spaces should be an isometry.

Mankiewicz s theorem The following result by P. Mankiewicz (1972) explains better what is plasticity in the case of the unit ball. Theorem. If A X and B Y are convex with non-empty interior, then every bijective isometry F : A B can be extended to a bijective affine isometry F : X Y. Taking into account that in the case of A, B being unit balls every isometry maps 0 to 0, this result implies that every bijective isometry F : B X B Y is the restriction of a linear isometry from X onto Y.

The key lemma Lemma. Let F : B X B Y be a bijective non-expansive map such that F(S X ) = S Y. Let V S X be the subset of all those v S X that F(av) = af(v) for all a [ 1, 1]. Denote A = {tx : x V, t [ 1, 1]}, then F A is a bijective isometry between A and F(A). The idea of the proof. Consider the directional derivative of the function x x X at u S X in the direction v X: u 1 (v) = lim a 0 + a ( u + av X u X ). If for some u S X and v A we have u ( v) = u (v), then a few lines of inequalities gives us (F(u)) (F(v)) = u (v).

The idea of demonstration: continuation Fix arbitrary y 1, y 2 A. Let E = span{y 1, y 2 }, and let W S E be the set of smooth points of S E (which is dense in S E ). All the functionals x, where x W, are linear on E, so x ( y i ) = x (y i ), for i = 1, 2. Now y 1 y 2 X = sup{x (y 1 y 2 ) : x W } = sup{x (y 1 ) x (y 2 ) : x W } = sup{(f(x)) (F(y 1 )) (F(x)) (F (y 2 )) : x W } F(y 1 ) F(y 2 ) Y. So F(y 1 ) F(y 2 ) = y 1 y 2.

Elementary properties Let F : B X B Y be a non-expansive bijection. Then, the following holds true. 1. F(0) = 0. 2. F 1 (S Y ) S X. 3. If X is strictly convex then Y is strictly convex. 4. If F (x) ext(b Y ), then F(ax) = af(x) for all a [ 1, 1]. 5. If Y is strictly convex then F(S X ) = S Y.

Why? 1. 0 X has distance at most 1 from all elements of B X, so F (0 X ) has distance at most 1 from all elements of B Y, i.e. F(0 X ) = 0 Y. 2. Every element of the open ball of X is of distance smaller than 1 to 0, so it cannot be mapped to an element of S Y. 3. Let Y be not strictly convex, then for some y S Y there are infinitely many elements z S Y such that y + z = 2. Then F 1 (y)+( F 1 ( z)) = F 1 (y) F 1 ( z) y ( z) = 2. 4. Say, for 0 < a < 1 we have ax = a, ax x = 1 a, consequently F(ax) = a, F(ax) F(x) = 1 a. But for F(x) ext(b Y ) the only element z Y with the property z = a, z F(x) = 1 a is the element af (x).

The list of results in chronological order Let F : B X B Y be a non-expansive bijection. Then each of the following conditions imply that F is an isometry. 1. X = Y are strictly convex (Cascales, Kadets, Orihuela, Wingler, 2016). 2. X = Y = l 1 (Kadets, Zavarzina, 2016). 3. Y is strictly convex, or Y = l 1, or Y is finite-dimensional (Zavarzina, 2018). 4. Y is l 1 -sum of strictly convex Banach spaces (Kadets, Zavarzina, 2018). 5. X is strictly convex (Angosto, Kadets, Zavarzina, 2018). 6. S Y is a union of finite-dimensional polyhedral faces (Angosto, Kadets, Zavarzina, 2018).

Problems 1. Which of the spaces l, C(K ), c 0, L 1 have plastic unit balls? 2. Does RNP or at least reflexivity imply the plasticity of the unit ball? 3. If a space is isomorphic to a Hilbert space, should its ball be plastic? 4. Does the existence of a non-expansive bijection F : B X B Y imply that X and Y are isomorphic?

One more problem What is the characterization of bounded closed convex plastic subsets of an infinite-dimensional Hilbert space? A step in this direction was recently made by O. Zavarzina (preprint, 2018). Let a(n) > 0, n N. Suppose inf n a(n) > 0 and sup n a(n) < + and consider an ellipsoid with these semiaxes in a Hilbert H: { E = x = x n e n H : } x n 2 a(n) 1, n N n N where e n are elements of a given orthonormal basis.

Zavarzina s theorem about ellipsoids Let ellipsoid E be as above, then the following conditions are equivalent: (1) every linear operator T : H H that maps E to E bijectively is an isometry; (2) Every subset B of the set a(n) of semi-axes of E that consists of more than one element possesses at least one of the following properties: 1. B has a maximum of finite multiplicity; 2. B has a minimum of finite multiplicity.