Ninety Years of the Brouwer Fixed Point Theorem*
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Lecture Notes General Equilibrium Theory: Ss205
LECTURE NOTES GENERAL EQUILIBRIUM THEORY: SS205 FEDERICO ECHENIQUE CALTECH 1 2 Contents 0. Disclaimer 4 1. Preliminary definitions 5 1.1. Binary relations 5 1.2. Preferences in Euclidean space 5 2. Consumer Theory 6 2.1. Digression: upper hemi continuity 7 2.2. Properties of demand 7 3. Economies 8 3.1. Exchange economies 8 3.2. Economies with production 11 4. Welfare Theorems 13 4.1. First Welfare Theorem 13 4.2. Second Welfare Theorem 14 5. Scitovsky Contours and cost-benefit analysis 20 6. Excess demand functions 22 6.1. Notation 22 6.2. Aggregate excess demand in an exchange economy 22 6.3. Aggregate excess demand 25 7. Existence of competitive equilibria 26 7.1. The Negishi approach 28 8. Uniqueness 32 9. Representative Consumer 34 9.1. Samuelsonian Aggregation 37 9.2. Eisenberg's Theorem 39 10. Determinacy 39 GENERAL EQUILIBRIUM THEORY 3 10.1. Digression: Implicit Function Theorem 40 10.2. Regular and Critical Economies 41 10.3. Digression: Measure Zero Sets and Transversality 44 10.4. Genericity of regular economies 45 11. Observable Consequences of Competitive Equilibrium 46 11.1. Digression on Afriat's Theorem 46 11.2. Sonnenschein-Mantel-Debreu Theorem: Anything goes 47 11.3. Brown and Matzkin: Testable Restrictions On Competitve Equilibrium 48 12. The Core 49 12.1. Pareto Optimality, The Core and Walrasian Equiilbria 51 12.2. Debreu-Scarf Core Convergence Theorem 51 13. Partial equilibrium 58 13.1. Aggregate demand and welfare 60 13.2. Production 61 13.3. Public goods 62 13.4. Lindahl equilibrium 63 14. -
The Hairy Klein Bottle
Bridges 2019 Conference Proceedings The Hairy Klein Bottle Daniel Cohen1 and Shai Gul 2 1 Dept. of Industrial Design, Holon Institute of Technology, Israel; [email protected] 2 Dept. of Applied Mathematics, Holon Institute of Technology, Israel; [email protected] Abstract In this collaborative work between a mathematician and designer we imagine a hairy Klein bottle, a fusion that explores a continuous non-vanishing vector field on a non-orientable surface. We describe the modeling process of creating a tangible, tactile sculpture designed to intrigue and invite simple understanding. Figure 1: The hairy Klein bottle which is described in this manuscript Introduction Topology is a field of mathematics that is not so interested in the exact shape of objects involved but rather in the way they are put together (see [4]). A well-known example is that, from a topological perspective a doughnut and a coffee cup are the same as both contain a single hole. Topology deals with many concepts that can be tricky to grasp without being able to see and touch a three dimensional model, and in some cases the concepts consists of more than three dimensions. Some of the most interesting objects in topology are non-orientable surfaces. Séquin [6] and Frazier & Schattschneider [1] describe an application of the Möbius strip, a non-orientable surface. Séquin [5] describes the Klein bottle, another non-orientable object that "lives" in four dimensions from a mathematical point of view. This particular manuscript was inspired by the hairy ball theorem which has the remarkable implication in (algebraic) topology that at any moment, there is a point on the earth’s surface where no wind is blowing. -
Topology - Wikipedia, the Free Encyclopedia Page 1 of 7
Topology - Wikipedia, the free encyclopedia Page 1 of 7 Topology From Wikipedia, the free encyclopedia Topology (from the Greek τόπος , “place”, and λόγος , “study”) is a major area of mathematics concerned with properties that are preserved under continuous deformations of objects, such as deformations that involve stretching, but no tearing or gluing. It emerged through the development of concepts from geometry and set theory, such as space, dimension, and transformation. Ideas that are now classified as topological were expressed as early as 1736. Toward the end of the 19th century, a distinct A Möbius strip, an object with only one discipline developed, which was referred to in Latin as the surface and one edge. Such shapes are an geometria situs (“geometry of place”) or analysis situs object of study in topology. (Greek-Latin for “picking apart of place”). This later acquired the modern name of topology. By the middle of the 20 th century, topology had become an important area of study within mathematics. The word topology is used both for the mathematical discipline and for a family of sets with certain properties that are used to define a topological space, a basic object of topology. Of particular importance are homeomorphisms , which can be defined as continuous functions with a continuous inverse. For instance, the function y = x3 is a homeomorphism of the real line. Topology includes many subfields. The most basic and traditional division within topology is point-set topology , which establishes the foundational aspects of topology and investigates concepts inherent to topological spaces (basic examples include compactness and connectedness); algebraic topology , which generally tries to measure degrees of connectivity using algebraic constructs such as homotopy groups and homology; and geometric topology , which primarily studies manifolds and their embeddings (placements) in other manifolds. -
MATH534A, Problem Set 8, Due Nov 13
MATH534A, Problem Set 8, due Nov 13 All problems are worth the same number of points. 1. Let M; N be smooth manifolds of the same dimension, F : M ! N be a smooth map, and let A ⊂ M have measure 0. Prove that F (A) has measure 0. 2. Let M be a smooth manifold, and let A ⊂ M have measure 0. Prove that A 6= M. 3. Let M be a smooth manifold of dimension m, and let π : TM ! M be the natural projection, −1 m m π(p; v) = p. For a chart (U; φ) on M, define φ^: π (U) ! R × R by φ^(p; v) = (φ(p); dpφ(v)): (a) Prove that there is a unique topology on TM such that for any chart (U; φ) on M the set −1 −1 2m π (U) ⊂ TM is open, and φ^ maps π (U) homeomorphically to an open subset of R . (b) Show that TM with this topology is Hausdorff and second countable. Hence show that TM endowed with charts (π−1(U); φ^) is a smooth manifold. 4. (a) Let F : M ! N be a smooth map. Consider the map dF : TM ! TN given by dF (p; v) = (F (p); dpF (v)). This map is sometimes called the global differential of F (but it is also okay to call it the differential of F ). Prove that this map is smooth. n n (b) Let F : M ! R be a smooth map. Consider the map TM ! R given by (p; v) 7! dpF (v). Prove that this map is smooth. -
Some Dense Barrelled Subspaces of Barrelled
Note di Matematica Vol. VI, 155-203(1986) SOMEDENSE BARRELLEDSUBSPACES OF BARRELLED SPACES WITH DECOMPOSITION PROPERTIES Jurgen ELSTRODT-Welter ROELCKE 1. INTRODUCTION. There are many results on the barrelledness of subspaces of a barrelled topologica1 vector space X. For example, by M.Valdivia [14], Theorem 3. and independently by S.A.Saxon and M.Levin Cl11 9 every subspace of countable codimension in X is barrelled. Recalling that locally convex Baire spaces are always barrelled, it is an interesting fact that every infinite dimensiona1 Banach space contains a dense barrelled subspace which is not Baire, by S.A.Saxon [lo]. From the point of view of constructing dense barrelled subspaces’ L of a barrelled space X the smaller subspaces L are the more interesting ones by the simple fact that if L is dense and barrelled SO are al1 subspaces M between L and X. For barrelled sequence spaces X some known constructions of dense barrelled subspaces use “thinness conditions” on the spacing of the non-zero terms xn in the sequences (x~)~~NEX. Section 3 of this article contains a unification and generalization of these constructions. which we describe now in the special case of sequence spaces. Let X be a sequence space over the field M of rea1 or complex numbers.For every x=(x,,)~~NFX and kelN:=(1,2,3,...) let g,(x) denote the number of indices ne (1,2,....k} such that x,.,*0. Clearly the “thinness condition” 156 J.Elstrodt-W.Roelcke g,(x) (0) lim k =0 k-tm on the sequence of non-zero components of x defines a Iinear sub- space L of X. -
On Manifolds and Fixed-Point Theorems
The birth of manifold theory Lefschetz fixed-point theorem Into the complex realm The mother of all fiexed-point theorems On manifolds and fixed-point theorems Rafael Araujo: Blue Morpho, Double Helix Valente Ram´ırez On manifolds and fixed-point theorems The birth of manifold theory Lefschetz fixed-point theorem A success story Into the complex realm Brouwer's fixed-point theorem The mother of all fiexed-point theorems The birth of manifold theory In 1895 Poincar´epublishes the seminal paper Analysis Situs { the first systematic treatment of topology. Valente Ram´ırez On manifolds and fixed-point theorems The birth of manifold theory Lefschetz fixed-point theorem A success story Into the complex realm Brouwer's fixed-point theorem The mother of all fiexed-point theorems The birth of manifold theory L.E.J. Brouwer (1881 - 1966) Dutch mathematician interested in the philosophy of the foundations of mathematics (cf. intuitionism). In 1909 meets Poincar´e,Hadamard, Borel, and is convinced of the importance of better understanding the topology of Euclidean space. This led to what we now know as Brouwer's fixed-point theorem. Valente Ram´ırez On manifolds and fixed-point theorems The birth of manifold theory Lefschetz fixed-point theorem A success story Into the complex realm Brouwer's fixed-point theorem The mother of all fiexed-point theorems The birth of manifold theory Brouwer's fixed-point theorem, 1910 Any continuous self-map n n f : B ! B n n from the closed unit ball B ⊂ R has a fixed point. Valente Ram´ırez On manifolds and fixed-point theorems The birth of manifold theory Lefschetz fixed-point theorem A success story Into the complex realm Brouwer's fixed-point theorem The mother of all fiexed-point theorems The birth of manifold theory Fundamental theorems on the topology of Euclidean space Brouwer fixed-point theorem, 1910. -
CONTENTS: UNIT -I: VECTOR SPACE 1-16 1.1 Introduction 1.2
CONTENTS: UNIT -I: VECTOR SPACE 1-16 1.1 Introduction 1.2 Objectives 1.3 Vector space 1.4 Subspace 1.5 Basis 1.6 Normed space 1.7 Exercise UNIT- II: CONVEX SETS 17-21 2.1 Introduction 2.2 Objectives 2.3 Convex sets 2.4 Norm topology 2.5 Equivalent norms 2.6 Exercise UNIT-III: NORMED SPACES AND SUBSPACES 22-28 3.1 Introduction 3.2 Objectives 3.3 Finite dimensional normed spaces and subspaces 3.4 Compactness 3.5 Exercise UNIT – IV: LINEAR OPERATOR 29-35 4.1 Introduction 4.2 Objectives 4.3 Linear operator 4.4 Bounded linear operator 1 4.5 Exercise UNIT – V: LINEAR FUNCTIONAL 36-43 5.1 Introduction 5.2 Objectives 5.3 Linear functional 5.4 Normed spaces of operators 5.5 Exercise UNIT – VI: BOUNDED OR CONTINUOUS LINEAR OPERATOR 44-50 6.1 Introduction 6.2 Objectives 6.3 Bounded or continuous linear operator 6.4 Dual space 6.5 Exercise UNIT-VII: INNER PRODUCT SPACE 51-62 7.1 1ntroduction 7.2 Objectives 7.3 1nner product 7.4 Orthogonal set 7.5.Gram Schmidt’s Process 7.6.Total orthonormal set 7.7 Exercises UNIT-VIII: ANNIHILATORS AND PROJECTIONS 63-65 8.1.Introduction 8.2 Objectives 8.3 Annihilator 8.4.Orthogonal Projection 8.5 Exercise 2 UNIT-IX: HILBERT SPACE 66-71 9.1.Introduction 9.2 Objectives 9.3 Hilbert space 9.4 Convex set 9.5 Orthogonal 9.6 Isomorphic 9.7 Hilbert dimension 9.8 Exercise UNIT-X: REFLEXIVITY OF HILBERT SPACES 72-77 10.1 Introduction 10.2 Objectives 10.3 Reflexivity of Hilbert spaces 10.4 Exercise UNIT XI: RIESZ’S THEOREM 78-89 11.1 Introduction 11.2 Objectives 11.3 Riesz’s theorem 11.4 Sesquilinear form 11.5 Riesz’s representation -
A Generalisation of Mackey's Theorem and the Uniform Boundedness Principle
BULL. AUSTRAL. MATH. SOC. 46AO5 VOL. 40 (1989) [123-128] t A GENERALISATION OF MACKEY'S THEOREM AND THE UNIFORM BOUNDEDNESS PRINCIPLE CHARLES SWARTZ We construct a locally convex topology which is stronger than the Mackey topology but still has the same bounded sets as the Mackey topology. We use this topology to give a locally convex version of the Uniform Boundedness Principle which is valid without any completeness or barrelledness assumptions. A well known theorem of Mackey ([2, 20.11.7]) states that a subset of a locally convex topological vector space is bounded if and only if it is weakly bounded. In particular, this means that if two vector spaces X and X' are in duality, then the weak topology and the Mackey topology of X have the same bounded sets. In this note we construct a locally convex topology on X which is always stronger than the Mackey topology but which still has the same bounded sets as the Mackey (or the weak) topology. We give an example which shows that this topology which always has the same bounded sets as the Mackey topology can be strictly stronger than the Mackey topology and, therefore, can fail to be compatible with the duality between X and X'. As an application of this result, we give several versions of the Uniform Boundedness Principle for locally convex spaces which involve no completeness or barrelledness assumptions. For the remainder of this note, let X and X' be two vector spaces in duality with respect to the bilinear pairing <, > . The weak (Mackey, strong) topology on X will be denoted by cr(X, X')(T(X, X'), {3(X, X')). -
Weak-Polynomial Convergence on a Banach
proceedings of the american mathematical society Volume 118, Number 2, June 1993 WEAK-POLYNOMIALCONVERGENCE ON A BANACH SPACE J. A. JARAMILLOAND A. PRIETO (Communicated by Theodore W. Gamelin) Abstract. We show that any super-reflexive Banach space is a A-space (i.e., the weak-polynomial convergence for sequences implies the norm convergence). We introduce the notion of /c-space (i.e., a Banach space where the weak- polynomial convergence for sequences is different from the weak convergence) and we prove that if a dual Banach space Z is a k-space with the approxima- tion property, then the uniform algebra A(B) on the unit ball of Z generated by the weak-star continuous polynomials is not tight. We shall be concerned in this note with some questions, posed by Carne, Cole, and Gamelin in [3], involving the weak-polynomial convergence and its relation to the tightness of certain algebras of analytic functions on a Banach space. Let A' be a (real or complex) Banach space. For m = 1,2, ... let 3°(mX) denote the Banach space of all continuous m-homogeneous polynomials on X, endowed with its usual norm; that is, each P e 3B(mX) is a map of the form P(x) = A(x, ... ,m) x), where A is a continuous, m-linear (scalar-valued) form on Xx---m]xX. Also, let S6(X) denote the space of all continuous polynomials on X; that is, each P e 3°(X) is a finite sum P - Pq + Px-\-\-Pn , where P0 is constant and each Pm e 3B(mX) for m= 1,2, .. -
Functions of Bounded Variation on “Good” Metric Spaces
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector J. Math. Pures Appl. 82 (2003) 975–1004 www.elsevier.com/locate/matpur Functions of bounded variation on “good” metric spaces Michele Miranda Jr. ∗ Scuola Normale Superiore, Piazza dei Cavalieri, 7, 56100 Pisa, Italy Received 6 November 2002 Abstract In this paper we give a natural definition of Banach space valued BV functions defined on complete metric spaces endowed with a doubling measure (for the sake of simplicity we will say doubling metric spaces) supporting a Poincaré inequality (see Definition 2.5 below). The definition is given starting from Lipschitz functions and taking closure with respect to a suitable convergence; more precisely, we define a total variation functional for every Lipschitz function; then we take the lower semicontinuous envelope with respect to the L1 topology and define the BV space as the domain of finiteness of the envelope. The main problem of this definition is the proof that the total variation of any BV function is a measure; the techniques used to prove this fact are typical of Γ -convergence and relaxation. In Section 4 we define the sets of finite perimeter, obtaining a Coarea formula and an Isoperimetric inequality. In the last section of this paper we also compare our definition of BV functions with some definitions already existing in particular classes of doubling metric spaces, such as Weighted spaces, Ahlfors-regular spaces and Carnot–Carathéodory spaces. 2003 Éditions scientifiques et médicales Elsevier SAS. All rights reserved. Résumé Dans cet article on trouve une définition bien naturelle de la variation bornée pour les fonctions à valeurs dans un espace de Banach, ayant comme domaine un espace métrique complet. -
Contractibility and Generalized Convexity
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOIJRNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 156, 341-357 (1991) Contractibility and Generalized Convexity CHARLES D. HORVATH MathPmatiques, UniversitP de Perpignan, Avenue de Vikweuve, 66860 Perpignan C&dex, France Submitled by Ky Fan Received November 20, 1988 0. INTRODUCTION AND NOTATION This paper is a study of a generalized convexity structure on topological spaces. We introduce the concept of singular face structure on a topological space and it is proved in Section 1 that any such structure dominates a singular simplex of the same dimension, in a sense made clear by the statement of Theorem 1. From Theorem 1, generalizations of the classical theorems of Knaster-Kuratowski-Mazurkiewicz [ 191, Berge-Klee 18, IS], Alexandroff-Pasynkoff [ 1 ] are obtained. Next, c-spaces are introduced as generalizations of convex sets. Similar structures have been recently considered by Bardaro and Ceppitelli [2]. Generalized convexities are usually associated with some kind of algebraic closure operator on the lattice of subsets or, which is equivalent, with a family of subsets stable by arbitrary intersection, we require only that our operator, the generalized convex hull, be defined on finite subsets and that it should be isotone, for example the generalized convex hull of a finite set A does not have to contain A, and we require one more topological property, contractibility. In this framework we extend results of Ben El-Mechajiekh, Deguire, and Granas [S, 61 on fixed point and coincidence for multivalued maps, these results being themselves generalizations of well known theorems of Ky Fan. -
Chapter 1 Fixed Point Theorems
Chapter 1 Fixed point theorems One of the most important instrument to treat (nonlinear) problems with the aid of functional analytic methods is thefixed point approach. This approach is an important part of nonlinear (functional-)analysis and is deeply connected to geometric methods of topology. We consider in this chapter the famous theorems of Banach, Brouwer and Schauder. A more detailed description of thefixed point theory can be found for instance in [1, 2, 6, 8, 9] dar. 1.1 Thefixed point approach – preliminaries Consider the followingfixed point equation x=F(x) (1.1) Here,F is a mapping fromX X. We assume thatX is endowed with the metricd. − A pointz X which satisfiesz=F(z) is called afixed point of F. Fixed point theo- ∈ rems guarantee the existence→ and/or uniqueness whenF andX satisfy certain additional conditions. A simple example of a mappingF which doesn’t posses afixed point is the translation in a vector spaceX: F:X x x+x 0 X wherex 0 =θ. � �− ∈ � Many problems of applied mathematics→ may be formulated as afixed point equation or reformulated in this way: Linear equations, differential equations, zeroes of gradients, . The following examples show how the treatment of nonlinear problems may be translated intofixed point problems: Determination of zeros of nonlinear functionsg:R R: • − g(x) =0 → There are different possibilities to translate this equation into afixed point problem: F(x) :=x−g(x) simplest method F(x) :=x−ωg(x) linear relaxation with relaxation parameterω>0 −1 F(x) :=x−(g �(x)) g(x) Newton method 1 Consider the determination of a zeroz of a functionf:R n R n .