Functional Analysis HW #1

Similar documents
Functional Analysis HW #3

MAT 578 FUNCTIONAL ANALYSIS EXERCISES

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

Overview of normed linear spaces

MAA6617 COURSE NOTES SPRING 2014

Lectures on Analysis John Roe

Stone-Čech compactification of Tychonoff spaces

The weak topology of locally convex spaces and the weak-* topology of their duals

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

Weak Topologies, Reflexivity, Adjoint operators

THEOREMS, ETC., FOR MATH 516

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

Problem Set 2: Solutions Math 201A: Fall 2016

Commutative Banach algebras 79

Course Notes for Functional Analysis I, Math , Fall Th. Schlumprecht

CHAPTER V DUAL SPACES

2.2 Annihilators, complemented subspaces

E.7 Alaoglu s Theorem

Banach-Alaoglu theorems

Functional Analysis HW #5

Chapter 1. Introduction

Chapter 2 Metric Spaces

Banach Spaces V: A Closer Look at the w- and the w -Topologies

Banach Spaces II: Elementary Banach Space Theory

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

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Problem 1: Compactness (12 points, 2 points each)

I teach myself... Hilbert spaces

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

Functional Analysis II held by Prof. Dr. Moritz Weber in summer 18

MH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then

CHAPTER VIII HILBERT SPACES

Eberlein-Šmulian theorem and some of its applications

THEOREMS, ETC., FOR MATH 515

CONTENTS. 4 Hausdorff Measure Introduction The Cantor Set Rectifiable Curves Cantor Set-Like Objects...

Math 5052 Measure Theory and Functional Analysis II Homework Assignment 7

Functional Analysis Exercise Class

Spectral theory for compact operators on Banach spaces

4 Countability axioms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

Axioms of separation

Continuity of convex functions in normed spaces

Lecture Course. Functional Analysis

(convex combination!). Use convexity of f and multiply by the common denominator to get. Interchanging the role of x and y, we obtain that f is ( 2M ε

Compact operators on Banach spaces

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

MTG 5316/4302 FALL 2018 REVIEW FINAL

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures

Math 209B Homework 2

MTH 503: Functional Analysis

USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON S EQUATION

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

Functional Analysis Exercise Class

4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan

SOME BANACH SPACE GEOMETRY

REAL AND COMPLEX ANALYSIS

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

Methods of constructing topological vector spaces

GELFAND S THEOREM. Christopher McMurdie. Advisor: Arlo Caine. Spring 2004

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

Part III. 10 Topological Space Basics. Topological Spaces

A NICE PROOF OF FARKAS LEMMA

MA651 Topology. Lecture 9. Compactness 2.

Analysis III Theorems, Propositions & Lemmas... Oh My!

An introduction to some aspects of functional analysis

Solution of the 8 th Homework

7 Complete metric spaces and function spaces

B. Appendix B. Topological vector spaces

Topological Vector Spaces III: Finite Dimensional Spaces

Notes on Distributions

Normed Vector Spaces and Double Duals

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

Topological vectorspaces

Contents. Index... 15

Continuous Functions on Metric Spaces

5 Banach Algebras. 5.1 Invertibility and the Spectrum. Robert Oeckl FA NOTES 5 19/05/2010 1

MATH 113 SPRING 2015

Combinatorics in Banach space theory Lecture 12

Chapter 3: Baire category and open mapping theorems

MA3051: Mathematical Analysis II

2. Dual space is essential for the concept of gradient which, in turn, leads to the variational analysis of Lagrange multipliers.

Notes for Functional Analysis

Spring -07 TOPOLOGY III. Conventions

l(y j ) = 0 for all y j (1)

Real Analysis Chapter 4 Solutions Jonathan Conder

General Topology. Summer Term Michael Kunzinger

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.

FUNCTIONAL ANALYSIS: NOTES AND PROBLEMS

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3

2.4 Annihilators, Complemented Subspaces

Aliprantis, Border: Infinite-dimensional Analysis A Hitchhiker s Guide

Bounded and continuous functions on a locally compact Hausdorff space and dual spaces

ANALYSIS WORKSHEET II: METRIC SPACES

The Banach Tarski Paradox and Amenability Lecture 20: Invariant Mean implies Reiter s Property. 11 October 2012

A SECOND COURSE IN GENERAL TOPOLOGY

Functional Analysis Exercise Class

TOPOLOGICAL VECTOR SPACES

CHAPTER II HILBERT SPACES

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic

David Hilbert was old and partly deaf in the nineteen thirties. Yet being a diligent

Transcription:

Functional Analysis HW #1 Sangchul Lee October 9, 2015 1 Solutions Solution of #1.1. Suppose that X <. The only possible Hausdorff topology on X is the discrete topology, and thus every function on X is continuous. Thus C(X) C X and hence dim C(X) = dim C X = X <. Suppose that X =. Given any n Z +, choose a set of n distinct points X n = {x 1,, x n } X. We claim that Claim 1.1. The mapping α : C(X) C(X n ) given by α( f ) = f Xn is a surjective linear map. Assuming this, we know that dim C(X) C(X n ) = n for any n. Therefore dim C(X) =. To finish the proof we are required to show Claim 1.1. It is straightforward that α is a well-defined linear map, thus it suffices to prove that α is surjective. Since X is compact Hausdorff, it is a normal space. Then by the Urysohn s lemma, for each i, j {1,, n} with i j we can choose f i j C(X) such that f i j (x i ) = 1 and f i j (x j ) = 0. Now define g i = j:j i f j. Then g i C(X) and g i (x j ) = δ i j. This proves that α is surjective and hence the claim. Solution of #1.2. Suppose that X is finite-dimensional with dim X = n. Choose a basis {x 1,, x n } of X and let α : C n X be the vector-space isomorphism defined by α(u 1,, u n ) = u 1 x 1 + + u n x n. Then we claim that Claim 1.2. There exists a positive constant C such that u C α(u) u C n. 1

Assuming this, the proof is straightforward. Let ϕ : X C be any linear functional on X. Then writing x = α(u) for some u = (u 1,, u n ) we have ϕ(x) u 1 ϕ(x 1 ) + + u n ϕ(x n ) C( ϕ(x 1 ) + + ϕ(x n ) ) x. Therefore ϕ < and ϕ is continuous. So it suffices to show Claim 1.2. Notice that for any u, v C n, we have α(u) α(v) = α(u v) u 1 v 1 x 1 + u n v n x n ( x 1 + + x n ) u v and consequently α is continuous. Moreover, since the set K = {u C n : u = 1} is compact and α never vanishes on K, the map u α(u) attains a positive minimum δ = min u K α(u) > 0. Then with C = δ 1 we have and therefore the claim is proved. u C u α(u/ u ) = C α(u) Assume that X is infinite-dimensional. Choose a linearly independent set {x 1, x 2, } X and let ϕ be a linear functional on X satisfying ϕ(x n ) = n x n. (The existence of such ϕ is guaranteed by the Zorn s lemma.) Then ϕ = and hence ϕ is not continuous. Sketch of Solution of #1.3. Construction of such X is a very straightforward and routine work, so we only give a sketch of idea: Let S be the set of Cauchy sequences in M and define an equivalence relation on S by ( f n ) (g n ) iff f n g n 0. Then the quotient space X = S/ gives rise to a Banach space with the norm defined as follows: for any equivalence class [( f n )] X, [( f n )] = lim n f n. It is routine to check that this is a well-defined norm on X with respect to which X is complete. Then M is isometrically embedded into X by the mapping f ( f, f, f, ). Now if Y is any Banach space in which M is dense, then we can define an isomorphism Y X as follows: whenever f Y is written as f = lim n f n with f n M, f [( f n )]. Indeed, this definition is a well-defined isometric isomorphism. 2

Solution of #1.5. c 0 (Z + ) is separable since the following set D = { f c 0 (Z + ) : f (k) Q for all k and f (k) = 0 for all sufficiently large k} is a countable dense subset of c 0 (Z + ). Indeed, for any f c 0 (Z + ) and ε > 0, Choose N such that f (k) < ε for k > N. Choose g(1),, g(n) Q such that f (k) g(k) < ε for 1 k N. Extending g onto Z + by letting g(k) = 0 for k > N. we find that g D and f g < ε. l 1 (Z + ) is separable with a dense subset D as above. Indeed, for any f l 1 (Z + ) and ε > 0, Choose N such that k >N f (k) < ε/2. Choose g(1),, g(n) Q such that f (k) g(k) < ε/2n for 1 k N. Extending g onto Z + by letting g(k) = 0 for k > N. we find that g D and f g < ε. l (Z + ) is inseparable. Indeed, for each U Z + define the indicator function 1 U by 1 U (k) = 1, k U 0, k U. Then the uncountable family {1 U : U Z + } satisfies the following condition: for any U V, 1 U 1 V = 1. In particular, there is an uncountable family of mutually disjoint open balls of radius 1/2 and thus no countable subset of l (Z + ) can be dense. l (Z + ) is also inseparable by the following claim: Claim 1.3. If X is a Banach space and X is separable, then so is X. The following simple tweak of Hahn-Banach theorem is quite useful for our proof. Lemma 1.4. Let M be a closed proper subspace of the Banach space X and x 0 X \ M. Then there exists ϕ X such that ϕ(y) = 0 for y M, ϕ(x 0 ) = dist(x 0, M), and ϕ 1. We defer the proof of this lemma to the next section. Assuming this, the claim is easy to verify. Indeed, let {ϕ 1, ϕ 2, } be a dense subset of X. (For technicality, we also assume that ϕ n 0 for all n.) For each n, choose x n X such that ϕ n (x n ) x n 1 2 ϕ n Then we claim that the set D of all possible Q-linear combinations of {x 1, x 2, } is dense in X. Since D is countable, this will prove that X is separable as well. 3

To this end, we assume otherwise. Then the the closure M of D in X is not equal to X. Notice also that M is in fact a closed subspace of X. Using this, choose any x 0 X \ M and pick ϕ X as in Lemma 1.4. Clearly ϕ is not identically zero. Also we have ϕ ϕ n ϕ(x n) ϕ n (x n ) x n = ϕ n (x n ) x n 1 2 ϕ n. Since {ϕ 1, ϕ 2, } is dense in X, we can choose a subsequence (ϕ n j ) such that ϕ ϕ n j 0. Then the above inequality shows that ϕ = lim j ϕ n j = 0, a contradiction. This completes the proof. Sketch of Solution of #1.13. Since (X ) 1 is compact Hausdorff by Banach-Alaoglu theorem, a simple application of Urysohn metrization theorem shows that (X ) 1 is metrizable if and only if it is second-countable. Assume that (X ) 1 is second-countable. Then X = n (X ) n is also second-countable and hence separable. This implies that X is separable, by Claim 1.3. Assume that X is separable. Choose a dense subset D = { f 1, f 2, } of X and a countable base (U k ) of the usual topology on C. Then we consider the set V n,k = {ϕ (X ) 1 : ϕ( f n ) U k }. Clearly {V n,k } n,k 1 is a countable family of open sets. Now aassume that (ψ α ) α A is a net in (X ) 1 such that lim α A ψ α ( f n ) = ψ( f n ) for each n. We remark that this information is completely determined by the collection {V n,k } n,k 1. Also, by Proposition 1.21, this implies that (ψ α ) w*-converges to ψ. Thus {V n,k } n,k 1 determines the topology of (X ) 1 and hence (X ) 1 is second countable. Solution of #1.14. Let M be the closure of N, which is a proper closed subspace of X. Utilize Lemma 1.4 to choose ϕ X such that ϕ n (y) = 0 for y M, ϕ n (x) = 1, and ϕ n 1/d. Notice also that, for any y N, we have ϕ ϕ(x y) x y = 1 x y. Taking supremum over y N, it follows that ϕ 1 d. Therefore ϕ = 1 d and the construction is done. Solution of #1.15. We know from linear algebra that the mapping f ˆ f is linear. So it suffices to prove that this mapping preserves norm. To this end, let f X. Then for any ϕ X with ϕ = 1, ˆ f (ϕ) = ϕ( f ) ϕ f = f. 4

Taking supremum over ϕ = 1, we find that ˆ f f. Also, by Corollary 1.27, there exists ϕ with ϕ = 1 such that ϕ( f ) = f. Thus we have ˆ f ˆ f (ϕ) = ϕ( f ) = f. Therefore the inequality is saturated and hence ˆ f = f. Solution of #1.16. If X is finite-dimensional, then we know from linear algebra that dim X = dim X. Also, from the previous exercise we know that X is naturally embedded into X. Therefore X and X is isometrically isomorphic and hence reflexive. Inseparability of c 0 (Z + ). We know that c 0 (Z + ) l (Z + ), which is much larger than c 0 (Z + ). Thus c 0 (Z + ) is not reflexive. Inseparability of l 1 (Z + ). We know that l 1 (Z + ) is separable. If it is reflexive, then l 1 (Z + ) l 1 (Z + ) must be also separable. But by Claim 1.3, this implies that l 1 (Z + ) l (Z + ) is separable, which is a contradiction. Therefore l 1 (Z + ) is not reflexive. Inseparability of C([0, 1]). Notice that for each x [0, 1], the Dirac-delta δ x : f f (x) is a bounded linear functional on C([0, 1]): δ x ( f ) = f (x) f. Moreover, for x y we can find f C([0, 1]) such that f = 1, f (x) = 1 and f (y) = 0. This implies that δ x δ y δ x ( f ) δ y ( f ) f = 1. Thus C([0, 1]) is inseparable and the same is true for C([0, 1]). On the other hand, C([0, 1]) is separable by a simple application of Stone-Weierstrass theorem. Therefore C([0, 1]) is not reflexive. Inseparability of L 1 ([0, 1]). We know that L 1 ([0, 1]) is separable. On the other hand, it is easy to modify the argument for inseparability of l (Z + ) to show that L ([0, 1]) L 1 ([0, 1]) is inseparable. Thus L 1 ([0, 1]) cannot be reflexive. 2 Proofs Definition 2.1. p is called a complex sublinear functional on X if the followings are satisfied: p(x + y) p(x) + p(y) x, y X and p(λx) = λ p(x) λ C, x X, (2.1) Lemma 2.2. Let M be a closed proper subspace of the Banach space X and x 0 X \ M. Then there exists ϕ X such that ϕ(y) = 0 for y M, ϕ(x 0 ) = dist(x 0, M), and ϕ 1. 5

Proof. It is easy to check that dist(x, M) = inf y M x y is a complex sublinear functional on X. Now let d = dist(x 0, M) and consider the linear functional ϕ 0 : Cx 0 C given by ϕ 0 (λx 0 ) = λd. Since ϕ 0 (λx 0 ) = λ d = dist(λx 0, M), we can follow the proof of Theorem 1.26 mutandis mutatis to construct a linear functional ϕ that extends ϕ 0. Indeed, consider Re ϕ 0 as a R-linear functional, extend this to a R-linear functional ψ on X (X considered as a R-normed space) dominated by the sublinear functional dist(, M), and define φ(x) = ψ(x) iψ(ix). Then we notice that ϕ(x 0 ) = ϕ 0 (x 0 ) = d. To show that ϕ is bounded and lies in the unit ball (X ) 1, write ϕ(x) = re iθ and notice that ϕ(x) = e iθ ϕ(x) = ϕ(e iθ x) = ψ(e iθ x) dist(e iθ x, M) = dist(x, M) x. The inequality above also shows that ϕ(y) dist(y, M) = 0 for y M. This completes the proof. 6