On some properties of modular function spaces

Similar documents
ASYMPTOTICALLY NONEXPANSIVE MAPPINGS IN MODULAR FUNCTION SPACES ABSTRACT

On the uniform Opial property

ON A MAXIMAL OPERATOR IN REARRANGEMENT INVARIANT BANACH FUNCTION SPACES ON METRIC SPACES

THEOREMS, ETC., FOR MATH 515

MATHS 730 FC Lecture Notes March 5, Introduction

Approximation results for nonlinear integral operators in modular spaces and applications

A FIXED POINT THEOREM FOR GENERALIZED NONEXPANSIVE MULTIVALUED MAPPINGS

Geometry and topology of continuous best and near best approximations

ON SUBSPACES OF NON-REFLEXIVE ORLICZ SPACES

Bounded uniformly continuous functions

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

Fixed points of multivalued mappings in modular function spaces with a graph

Integration on Measure Spaces

L p Spaces and Convexity

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

Semi-strongly asymptotically non-expansive mappings and their applications on xed point theory

On finite elements in vector lattices and Banach lattices

Variable Lebesgue Spaces

Lebesgue Integration: A non-rigorous introduction. What is wrong with Riemann integration?

Locally uniformly rotund renormings of the spaces of continuous functions on Fedorchuk compacts

Summary of Real Analysis by Royden

In this paper we study periodic solutions of a second order differential equation

On locally Lipschitz functions

THE SEMI ORLICZ SPACE cs d 1

Topologies, ring norms and algebra norms on some algebras of continuous functions.

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

The small ball property in Banach spaces (quantitative results)

Fixed Point Theorems for Modular Contraction Mappings on Modulared Spaces

FIXED POINT THEORY FOR QUASI-CONTRACTION MAPS IN b-metric SPACES

Some sequence spaces in 2-normed spaces defined by Musielak-Orlicz function

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

On a compactness criteria for multidimensional Hardy type operator in p-convex Banach function spaces

Chapter 6. Integration. 1. Integrals of Nonnegative Functions. a j µ(e j ) (ca j )µ(e j ) = c X. and ψ =

A FIXED POINT THEOREM AND ITS APPLICATION TO INTEGRAL EQUATIONS IN MODULAR FUNCTION SPACES

Signed Measures and Complex Measures

Lecture 4 Lebesgue spaces and inequalities

Goebel and Kirk fixed point theorem for multivalued asymptotically nonexpansive mappings

Review of measure theory

REMARKS ON THE SCHAUDER TYCHONOFF FIXED POINT THEOREM

Function spaces with variable exponents

On Semicontinuity of Convex-valued Multifunctions and Cesari s Property (Q)

CHAPTER I THE RIESZ REPRESENTATION THEOREM

Besov-type spaces with variable smoothness and integrability

Review of Multi-Calculus (Study Guide for Spivak s CHAPTER ONE TO THREE)

Overview of normed linear spaces

1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989),

FUNCTION BASES FOR TOPOLOGICAL VECTOR SPACES. Yılmaz Yılmaz

Nagarajan Subramanian and Umakanta Misra THE NÖRLUND ORLICZ SPACE OF DOUBLE GAI SEQUENCES. 1. Introduction

Tiziana Cardinali Francesco Portigiani Paola Rubbioni. 1. Introduction

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

An introduction to Mathematical Theory of Control

AW -Convergence and Well-Posedness of Non Convex Functions

Wavelets and modular inequalities in variable L p spaces

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

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

The local equicontinuity of a maximal monotone operator

A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE. Myung-Hyun Cho and Jun-Hui Kim. 1. Introduction

Real Analysis Notes. Thomas Goller

A fixed point theorem for multivalued mappings

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

Decompositions of variable Lebesgue norms by ODE techniques

On Monch type multi-valued maps and fixed points

7 Complete metric spaces and function spaces

4 Countability axioms

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

Radon-Nikodým indexes and measures of weak noncompactness

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

(2) E M = E C = X\E M

Smooth pointwise multipliers of modulation spaces

A NOTE ON COMPARISON BETWEEN BIRKHOFF AND MCSHANE-TYPE INTEGRALS FOR MULTIFUNCTIONS

A multivalued version of Krasnoselskii s theorem in generalized Banach spaces

FURTHER STUDIES OF STRONGLY AMENABLE -REPRESENTATIONS OF LAU -ALGEBRAS

THEOREMS, ETC., FOR MATH 516

Introduction to Functional Analysis

Appendix B Convex 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

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS

AN EXTENSION OF THE NOTION OF ZERO-EPI MAPS TO THE CONTEXT OF TOPOLOGICAL SPACES

CERTAIN PROPERTIES OF GENERALIZED ORLICZ SPACES

Dual Space of L 1. C = {E P(I) : one of E or I \ E is countable}.

REVIEW OF ESSENTIAL MATH 346 TOPICS

CHARACTERIZATION OF (QUASI)CONVEX SET-VALUED MAPS

Renormings of c 0 and the minimal displacement problem

LOCAL FIXED POINT THEORY INVOLVING THREE OPERATORS IN BANACH ALGEBRAS. B. C. Dhage. 1. Introduction

APPROXIMATION BY LIPSCHITZ FUNCTIONS IN ABSTRACT SOBOLEV SPACES ON METRIC SPACES

Some topological properties of fuzzy cone metric spaces

Measure and integration

Notes for Functional Analysis

(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define

Measure Theory & Integration

Convergence of Banach valued stochastic processes of Pettis and McShane integrable functions

Measurable functions are approximately nice, even if look terrible.

Weak Topologies, Reflexivity, Adjoint operators

Weak-Star Convergence of Convex Sets

Existence Theorem for Abstract Measure. Differential Equations Involving. the Distributional Henstock-Kurzweil Integral

Banach Algebras of Matrix Transformations Between Spaces of Strongly Bounded and Summable Sequences

INTRODUCTION TO MEASURE THEORY AND LEBESGUE INTEGRATION

Fixed point theorems in a new type of modular metric spaces

Transcription:

Diana Caponetti University of Palermo, Italy Joint work with G. Lewicki Integration Vector Measures and Related Topics VI Bȩdlewo, June 15-21, 2014

Aim of this talk is to introduce modular function spaces as defined by Kozlowoski, to present some examples and prove admissibility of the spaces.

Introduction Orlicz spaces generalize Lebesgue spaces by considering spaces of functions with some growth properties different from the power type growth control provided by the L p -norms.

Introduction Orlicz spaces generalize Lebesgue spaces by considering spaces of functions with some growth properties different from the power type growth control provided by the L p -norms. Further development: The theory of Banach function spaces [Luxemburg, Zaanen]. The theory of modular spaces [Nakano] [Orlicz, Luxemburg] obtained by replacing the given integral form of the nonlinear functional which controls the growth of the functions, by an abstract functional, the modular ρ.

Introduction Orlicz spaces generalize Lebesgue spaces by considering spaces of functions with some growth properties different from the power type growth control provided by the L p -norms. Further development: The theory of Banach function spaces [Luxemburg, Zaanen]. The theory of modular spaces [Nakano] [Orlicz, Luxemburg] obtained by replacing the given integral form of the nonlinear functional which controls the growth of the functions, by an abstract functional, the modular ρ. Here we consider a class of modular spaces given by modulars not of a particular form but having much more convenient properties than the abstract modulars can possess.

Definitions and notations [W.M. Kozlowski, Modular function spaces, 1988 ] X nonempty set - P nontrivial δ-ring of subsets of X - Σ the smallest σ-algebra of subsets of X s.t. P Σ. Assume E A P for E P and A Σ, and X = n=1 X n where X n X n+1 and X n P for any n N.

Definitions and notations [W.M. Kozlowski, Modular function spaces, 1988 ] X nonempty set - P nontrivial δ-ring of subsets of X - Σ the smallest σ-algebra of subsets of X s.t. P Σ. Assume E A P for E P and A Σ, and X = n=1 X n where X n X n+1 and X n P for any n N. (W, ) Banach space. E the linear space of all P-simple functions. M(X, W ) the set of all measurable functions. f : X W measurable if s n (x) f (x) for any x X, with {s n } P-simple functions

A functional ρ : E Σ [0, + ] is called a function modular if it satisfies the following properties:

A functional ρ : E Σ [0, + ] is called a function modular if it satisfies the following properties: (1) ρ(0, E) = 0 for every E Σ, (2) ρ(f, E) ρ(g, E) whenever f (x) g(x) for all x E and any f, g E (E Σ); (3) ρ(f, ) : Σ [0, + ] is a σ-subadditive measure for every f E; (4) ρ(α, A) 0 as α R + decreases to 0 for every A P, where ρ(α, A) = sup{ρ(rχ A, A) : r W, r α}; (5) there is α 0 0 such that sup β>0 ρ(β, A) = 0 whenever sup α>α0 ρ(α, A) = 0; (6) ρ(α, ) is order continuous on P for every α > 0, that is ρ(α, A n ) 0 for any sequence {A n } P decreasing to.

A functional ρ : E Σ [0, + ] is called a function modular if it satisfies the following properties: (1) ρ(0, E) = 0 for every E Σ, (2) ρ(f, E) ρ(g, E) whenever f (x) g(x) for all x E and any f, g E (E Σ); (3) ρ(f, ) : Σ [0, + ] is a σ-subadditive measure for every f E; (4) ρ(α, A) 0 as α R + decreases to 0 for every A P, where ρ(α, A) = sup{ρ(rχ A, A) : r W, r α}; (5) there is α 0 0 such that sup β>0 ρ(β, A) = 0 whenever sup α>α0 ρ(α, A) = 0; (6) ρ(α, ) is order continuous on P for every α > 0, that is ρ(α, A n ) 0 for any sequence {A n } P decreasing to. For f M(X, W ) ρ(f, E) = sup{ρ(g, E) : g E, g(x) f (x) x E}.

A set E Σ is said to be ρ-null if and only if ρ(α, E) = 0 for every α > 0.

A set E Σ is said to be ρ-null if and only if ρ(α, E) = 0 for every α > 0. Then the functional ρ : M(X, W ) [0, + ] defined by ρ(f ) = ρ(f, X ) is a semimodular, that is ρ(λf ) = 0 for any λ > 0 iff f = 0 ρ-a.e.; ρ(αf ) = ρ(f ) if α = 1 and f M(X, W ); ρ(αf + βg) ρ(f ) + ρ(g) if α + β = 1 (α, β 0) and f, g M(X, W ).

Given the semimodular ρ we consider the modular space L ρ = {f M(X, W ) : lim ρ(λf ) = 0}, λ 0 + and we endowed it by the F -norm { ( ) } f f ρ = inf λ > 0 : ρ λ. λ

Given the semimodular ρ we consider the modular space L ρ = {f M(X, W ) : lim ρ(λf ) = 0}, λ 0 + and we endowed it by the F -norm { ( ) } f f ρ = inf λ > 0 : ρ λ. λ Let E ρ the closed subspace of L ρ defined by E ρ = {f M(X, W ) : ρ(αf, ) is order continuous for every α > 0}. For any set S in E ρ we denote by cls the closure of S with respect to ρ. We recall that E ρ = cle.

E ρ = L ρ if and only if the function modular ρ satisfies the 2 -condition:

E ρ = L ρ if and only if the function modular ρ satisfies the 2 -condition: sup ρ(2f n, A k ) 0 k, n whenever {f n } n M(X, W ), A k Σ, A k and sup n ρ(f n, A k ) 0 as k.

Examples Musielak-Orlicz spaces.

Examples Musielak-Orlicz spaces. (X, Σ, µ) measure space. Let φ : X R + R + be a φ 1 -function 1. φ(x, ) is continuous for every x X 2. φ(x, 0) = 0 for every x X 3. φ(x, u) as u 4. φ(, u) is locally integrable for every u 0 5. There exists u 0 0 such that φ(, u) > 0 for u > u 0

Examples Musielak-Orlicz spaces. (X, Σ, µ) measure space. Let φ : X R + R + be a φ 1 -function 1. φ(x, ) is continuous for every x X 2. φ(x, 0) = 0 for every x X 3. φ(x, u) as u 4. φ(, u) is locally integrable for every u 0 5. There exists u 0 0 such that φ(, u) > 0 for u > u 0 ρ(f, E) = E φ(x, f (x) )dµ

The function modular ρ satisfies the 2 -condition iff

The function modular ρ satisfies the 2 -condition iff Orlicz 2 -condition holds: There exists K > 0 and an integrable g : X R + such that for every u 0 φ(x, 2u) Kφ(x, u) + g(x) ρ-a.e.

A generalization of Musielak-Orlicz spaces. M family of measures on (X, Σ). ρ(f, E) = sup φ(x, f (x) )dµ µ M E

A generalization of Musielak-Orlicz spaces. M family of measures on (X, Σ). ρ(f, E) = sup φ(x, f (x) )dµ µ M E Orlicz 2 condition + the set function g dµ is order continuous. sup µ M ( )

Admissibility The notion of admissibility, introduced by Klee, allows one to approximate the identity on compact sets by finite dimensional maps. Locally convex spaces are admissible. Not all nonlocally convex spaces are admissible [Cauty has provided an example of a metric linear space in which the admissibility fails].

Admissibility The notion of admissibility, introduced by Klee, allows one to approximate the identity on compact sets by finite dimensional maps. Locally convex spaces are admissible. Not all nonlocally convex spaces are admissible [Cauty has provided an example of a metric linear space in which the admissibility fails]. Definition Let E be a Haudorff topological vector space. The space E is said to be admissible if for every compact subset K of E and for every neighborhood V of zero in E there exists a continuous mapping H : K E such that dim(span [H(K)]) < + and f Hf V for every f K.

Main result Theorem The space E ρ is admissible.

Main result Theorem The space E ρ is admissible. K a compact set in E ρ and ε > 0. We consider H : K E ρ H = H ε P k T a F n. 1. Set F n f = f χ Xn, where X = n=1 X n. Find n N such that 2. Find a > 0 satisfying sup{ F n f f ρ : f K} ε. sup{ T a F n f F n f ρ : f K} ε.

3. Let Π k = {E 1,...E l }, Π n = {F 1,..., F m } and Π k Π n. Define P k,n : S Πn S Πk P k,n s = l i=1 mi j=1 w j m i χ Ei. where s = m j=1 w jχ Fj, and E i = m i j=1 F ij, with F ij Π n, for j = 1,..., m i.

3. Let Π k = {E 1,...E l }, Π n = {F 1,..., F m } and Π k Π n. Define P k,n : S Πn S Πk P k,n s = l i=1 mi j=1 w j m i χ Ei. where s = m j=1 w jχ Fj, and E i = m i j=1 F ij, with F ij Π n, for j = 1,..., m i. Q = {Π n } sequence of partitions of X with Π 1 = {X } and Π 1 Π 2...Π n... Then for any k N, define P k : S(Q) = j=1 S Π j S Πk P k s = { s if s k j=1 S Π j P k,n s if s j=k+1 S Π j.

For f cl(s(q)) such that sup{ f (x) : x X } a <, for any k N, define P k f = lim n P k s n, {s n } S(Q), f s n ρ 0, the limit in the ρ -norm.

Lemma For f cl(s(q)) such that sup{ f (x) : x X } a <, for any k N, define P k f = lim n P k s n, {s n } S(Q), f s n ρ 0, the limit in the ρ -norm. Let {f n } be a sequence in cl(s(q)) and f cl(s(q)). If sup{ f n (x) : x X, n N} a <, sup{ f (x) : x X } a < and f f n ρ 0, then lim n (sup{ P k f n P k f ρ : k N}) = 0.

Theorem Let K a be a compact subset of E ρ such that sup{ f (x) : x X, f K a } a <. Then there exists a sequence Π 1 Π 2...Π n..., which will be denoted by Q, of partitions of X such that Π 1 = {X } and K a cl(s(q)). Moreover, for any ε > 0 there exists k N such that sup{ P k f f ρ : f K a }) ε, being {P k } be the sequence of operators corresponding to the sequence of partitions Q.

4. The space of P-simple functions generated by a given partition of X is admissible.

4. The space of P-simple functions generated by a given partition of X is admissible. Proposition Let Π = {A 1,, A n } be a partition of X. Then the subspace S Π = { s E ρ : s = n w i χ Ai, i=1 } w i W of E ρ is admissible.

Proof. K a compact set in E ρ and ε > 0.

Proof. K a compact set in E ρ and ε > 0. 1. 2. sup{ F n f f ρ : f K} ε. sup{ T a F n f F n f ρ : f K} ε.

Proof. K a compact set in E ρ and ε > 0. 1. 2. sup{ F n f f ρ : f K} ε. sup{ T a F n f F n f ρ : f K} ε. 3. Considering (T a F n )(K) we have sup{ P k T a F n f T a F n f ρ : f K} ε. 4. V = (P k T a F n )(K) is a compact subset of S Πk. Let H ε : V E ρ such that span[h ε (V )] is finite-dimensional and sup{ H ε P k T a F n f P k T a F n f ρ : f K} ε.

Now we consider H = H ε P k T a F n. We have dim[span[h(k)] <. Moreover, by the above facts, for any f K f Hf ρ ε. and the admissibility of E ρ is proved.

Corollary Let T : L ρ E ρ be a compact and continuous mapping. Then there exists f E ρ such that Tf = f.

Some references D.C. and G. Lewicki, A note on the admissibility of modular function spaces, J. Nonlinear Conv. Anal., to appear O. Hadic, Fixed point theorems in not necessarily locally convex topological vector spaces. Functional analysis, 118-130 (Dubrovnik, 1981), Lecture Notes in Math., 948, Springer, Berlin-New York (1982). J. Ishii, On the admissibility of function spaces, J. Fac. Sci. Hokkaido Univ. Series I, 19, 49-55 (1965). M. A. Khamsi and W. M. Koz lowski, On asymptotic pointwise nonexpasive mappings in modular function spaces, J. Math. Anal. Appl., 380 no. 2, 697-708 (2011). M. A. Khamsi, W. M. Koz lowski and S. Reich, Fixed point theory in modular function spaces, Nonlinear Anal., 14 no. 11, 935-953 (1990). W.M. Koz lowski, Modular function spaces, Series of Monographs and Textbooks in Pure and Applied Mathematics, Vol. 122, Dekker, New York/Basel 1988.

V. Klee, Leray-Schauder theory without local convexity, Math. Ann., 141, 286-296 (1960). C. Krauthausen, Der Fixpunktsatz von Schauder in nicht notwendig konvexen Räumen, sowie Anwendungen auf Hammersteinsche Gleichungen, Dissertation, Aachen (1976). J. Mach, Die Zulässigkeit und gewisse Eigenshaften der Funktionenräume L φ,k und L φ, Ber. Ges. f. Math. u. Datenverarb. Bonn, 1, 38 pp. (1972). T. Riedrich, Der Räum S(0, 1) ist zulässig, Wiss. Z. Techn. Univ. Dresden, 13, 1-6 (1964). T. Riedrich, Die Räume L p (0, 1) (0 < p < 1) sind zulässig, ibid. 12, 1149-1152 (1963). T. Runst and W. Sickel, Sobolev spaces of fractional order, Nemytskij operators, and nonlinear partial differential equations, de Gruyter Series in Nonlinear Analysis and Applications, 3, Berlin (1996).