MULTIPLE LEBESGUE INTEGRATION ON TIME SCALES

Similar documents
Appendix B. Criterion of Riemann-Stieltjes Integrability

REAL ANALYSIS I HOMEWORK 1

Exercise Solutions to Real Analysis

Case Study of Markov Chains Ray-Knight Compactification

More metrics on cartesian products

The Order Relation and Trace Inequalities for. Hermitian Operators

APPENDIX A Some Linear Algebra

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Math 702 Midterm Exam Solutions

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

NP-Completeness : Proofs

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

arxiv: v1 [math.co] 1 Mar 2014

NUMERICAL DIFFERENTIATION

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

2.3 Nilpotent endomorphisms

A be a probability space. A random vector

Chapter Twelve. Integration. We now turn our attention to the idea of an integral in dimensions higher than one. Consider a real-valued function f : D

Research Article Relative Smooth Topological Spaces

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

A new construction of 3-separable matrices via an improved decoding of Macula s construction

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1

Module 2. Random Processes. Version 2 ECE IIT, Kharagpur

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

One Dimension Again. Chapter Fourteen

EXPANSIVE MAPPINGS. by W. R. Utz

Sharp integral inequalities involving high-order partial derivatives. Journal Of Inequalities And Applications, 2008, v. 2008, article no.

Foundations of Arithmetic

Lecture 17 : Stochastic Processes II

Subset Topological Spaces and Kakutani s Theorem

Edge Isoperimetric Inequalities

SL n (F ) Equals its Own Derived Group

Affine transformations and convexity

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

Lecture 3. Ax x i a i. i i

5 The Rational Canonical Form

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction

On the Operation A in Analysis Situs. by Kazimierz Kuratowski

CALCULUS CLASSROOM CAPSULES

Complex Variables. Chapter 18 Integration in the Complex Plane. March 12, 2013 Lecturer: Shih-Yuan Chen

PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 7, July 1997, Pages 2119{2125 S (97) THE STRONG OPEN SET CONDITION

Another converse of Jensen s inequality

Research Article Green s Theorem for Sign Data

On quasiperfect numbers

First day August 1, Problems and Solutions

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

Lecture 12: Discrete Laplacian

On the smoothness and the totally strong properties for nearness frames

THE FUNDAMENTAL THEOREM OF CALCULUS FOR MULTIDIMENSIONAL BANACH SPACE-VALUED HENSTOCK VECTOR INTEGRALS

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations

Maximizing the number of nonnegative subsets

Math 205A Homework #2 Edward Burkard. Assume each composition with a projection is continuous. Let U Y Y be an open set.

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

Math 426: Probability MWF 1pm, Gasson 310 Homework 4 Selected Solutions

Section 8.3 Polar Form of Complex Numbers

Kernel Methods and SVMs Extension

STEINHAUS PROPERTY IN BANACH LATTICES

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

arxiv: v1 [math.ho] 18 May 2008

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

Genericity of Critical Types

Existence of Two Conjugate Classes of A 5 within S 6. by Use of Character Table of S 6

Voting Games with Positive Weights and. Dummy Players: Facts and Theory

Integration and Expectation

9 Characteristic classes

42. Mon, Dec. 8 Last time, we were discussing CW complexes, and we considered two di erent CW structures on S n. We continue with more examples.

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

where a is any ideal of R. Lemma Let R be a ring. Then X = Spec R is a topological space. Moreover the open sets

DIFFERENTIAL FORMS BRIAN OSSERMAN

3 Basic boundary value problems for analytic function in the upper half plane

Lecture 3: Probability Distributions

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

Finding Dense Subgraphs in G(n, 1/2)

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION

A Simple Research of Divisor Graphs

The internal structure of natural numbers and one method for the definition of large prime numbers

On Tiling for Some Types of Manifolds. and their Folding

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

Module 14: THE INTEGRAL Exploring Calculus

Inductance Calculation for Conductors of Arbitrary Shape

European Journal of Combinatorics

Complete subgraphs in multipartite graphs

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N)

Linear Regression Analysis: Terminology and Notation

Google PageRank with Stochastic Matrix

The lower and upper bounds on Perron root of nonnegative irreducible matrices

Math 217 Fall 2013 Homework 2 Solutions

Discussion 11 Summary 11/20/2018

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Chapter 8 Indicator Variables

Lecture 4: Universal Hash Functions/Streaming Cont d

Transcription:

MULTIPLE LEBESGUE INTEGRATION ON TIME SCALES MARTIN BOHNER AND GUSEIN SH. GUSEINO Receved 26 January 2006; Revsed 17 Aprl 2006; Accepted 18 Aprl 2006 We study the process of multple Lebesgue ntegraton on tme scales. The relatonshp of the Remann and the Lebesgue multple ntegrals s nvestgated. Copyrght 2006 M. Bohner and G. Sh. Gusenov. Ths s an open access artcle dstrbuted under the Creatve Commons Attrbuton Lcense, whch permts unrestrcted use, dstrbuton, and reproducton n any medum, provded the orgnal work s properly cted. 1. Introducton Dfferental and ntegral calculus on tme scales allows to develop a theory of dynamc equatons n order to unfy and extend the usual dfferental equatons and dfference equatons. For sngle varable dfferental and ntegral calculus on tme scales, we refer the reader to the textbooks [4, 5] and the references gven theren. Multvarable calculus on tme scales was developed by the authors[2, 3]. In [3], we presented the process of Remann multple delta (nabla and mxed types ntegraton on tme scales. In the present paper, we ntroduce the defntons of Lebesgue mult-dmensonal delta (nabla and mxed types measures and ntegrals on tme scales. A comparson of the Lebesgue multple delta ntegral wth the Remann multple delta ntegral s gven. Besde ths ntroductory secton, ths paper conssts of two sectons. In Secton 2, followng [3], we gve the Darboux defnton of the Remann multple delta ntegral and present some needed facts connected to t. The man part of ths paper s Secton 3.There, a bref descrpton of the Carathéodory constructon of a Lebesgue measure n an abstract settng s gven. Then the Lebesgue mult-dmensonal delta measure on tme scales s ntroduced and the Lebesgue delta measure of any sngle-pont set s calculated. When we have a measure, ntegraton theory s avalable accordng to the well-known general scheme of the Lebesgue ntegraton process. Fnally, we compare the Lebesgue multple delta ntegral wth the Remann multple delta ntegral. We ndcate also a way to defne, along wth the Lebesgue mult-dmensonal delta measure, the nabla and mxed types Lebesgue mult-dmensonal measures on tme scales. Hndaw Publshng Corporaton AdvancesnDfference Equatons olume 2006, Artcle ID 26391, Pages 1 12 DOI 10.1155/ADE/2006/26391

2 Multple Lebesgue ntegraton on tme scales 2. Multple Remann ntegraton In ths secton, followng [3], we gve the defnton of the multple Remann ntegral on tme scales over arbtrary bounded regons as we wll compare n the next secton the Remann ntegral wth the Lebesgue ntegral ntroduced theren. For convenence, we present the exposton for functons of two ndependent varables. Let T 1 and T 2 be two tme scales. For = 1,2, let σ, ρ,andδ denote the forward jump operator, the backward jump operator, and the delta dfferentaton operator, respectvely, on T.Supposea<bare ponts n T 1, c<dare ponts n T 2,[a,b sthehalfclosed bounded nterval n T 1,and[c,d s the half-closed bounded nterval n T 2.Letus ntroduce a rectangle (or delta rectangle n T 1 T 2 by R = [a,b [c,d = { (t,s:t [a,b, s [c,d }. (2.1 Frst we defne Remann ntegrals over rectangles of the type gven n (2.1. Let { t0,t 1,...,t n } [a,b], where a = t0 <t 1 < <t n = b, { s0,s 1,...,s k } [c,d], where c = s0 <s 1 < <s k = d. (2.2 The numbers n and k may be arbtrary postve ntegers. We call the collecton of ntervals P 1 = {[ } t 1,t :1 n (2.3 a Δ-partton (or delta parttonof[a,b anddenotethe set of allδ-parttons of [a,bby ([a,b. Smlarly, the collecton of ntervals P 2 = {[ } s j 1,s j :1 j k (2.4 s called a Δ-partton of [c,d and the set of all Δ-parttons of [c,d s denoted by ([c,d. Let us set We call the collecton R j = [ t 1,t [ sj 1,s j, where1 n, 1 j k. (2.5 P = { R j :1 n,1 j k } (2.6 a Δ-partton of R, generated by the Δ-parttons P 1 and P 2 of [a,band[c,d, respectvely, and wrte P = P 1 P 2.TherectanglesR j,1 n,1 j k, are called the subrectangles of the partton P. The set of all Δ-parttons of R s denoted by (R. Let f : R R be a bounded functon. We set and for 1 n,1 j k, M = sup { f (t,s:(t,s R }, m = nf { f (t,s:(t,s R } (2.7 M j = sup { f (t,s:(t,s R j }, mj = nf { f (t,s:(t,s R j }. (2.8

M. Bohner and G. Sh. Gusenov 3 The upper Darboux Δ-sum U( f,p and the lower Darboux Δ-sum L( f,p of f wth respect to P are defned by Note that U( f,p U( f,p = L( f,p = n j=1 n j=1 n j=1 and lkewse L( f,p m(b a(d csothat k ( ( M j t t 1 sj s j 1, (2.9 k ( ( m j t t 1 sj s j 1. k M ( ( t t 1 sj s j 1 = M(b a(d c (2.10 m(b a(d c L( f,p U( f,p M(b a(d c. (2.11 The upper Darboux Δ-ntegral U( f of f over R and the lower Darboux Δ-ntegral L( f of f over R are defned by U( f = nf { U( f,p:p (R }, L( f = sup { L( f,p:p (R }. (2.12 In vew of (2.11, U( f andl( f are fnte real numbers. It can be shown that L( f U( f. Defnton 2.1. The functon f s called Δ-ntegrable (or delta ntegrableover R provded L( f = U( f. In ths case, R f (t,sδ 1 tδ 2 s s used to denote ths common value. Ths ntegral s called the Remann Δ-ntegral. We need the followngauxlaryresult.the proof can be foundn [5, Lemma 5.7]. Lemma 2.2. For every δ>0thereexstsatleastoneparttonp 1 ([a,b generated by a set { } t0,t 1,...,t n [a,b], where a = t0 <t 1 < <t n = b, (2.13 such that for each {1,2,...,n} ether or t t 1 δ (2.14 t t 1 >δ, ρ 1 ( t = t 1. (2.15 Defnton 2.3. The set of all P 1 ([a,b that possess the property ndcated n Lemma 2.2 s denoted by δ ([a,b. Smlarly, δ ([c,d s defned. Further, the set of all P (R

4 Multple Lebesgue ntegraton on tme scales such that P = P 1 P 2, wherep 1 δ ( [a,b, P2 δ ( [c,d (2.16 s denoted by δ (R. The followng s a Cauchy crteron for Remann delta ntegrablty (see [3, Theorem 2.11]. Theorem 2.4. A bounded functon f on R s Δ-ntegrable f and only f for each ε>0 there exsts δ>0 such that P δ (R mples U( f,p L( f,p <ε. (2.17 Remark 2.5. In the two-varable tme scales case, four types of ntegrals can be defned: ( ΔΔ-ntegral over [a,b [c,d, whch s ntroduced by usng parttons consstng of subrectangles of the form [α,β [γ,δ; ( -ntegral over (a,b] (c,d], whch s defned by usng parttons consstng of subrectangles of the form (α,β] (γ,δ]; ( Δ -ntegral over [a,b (c,d], whch s defned by usng parttons consstng of subrectangles of the form [α,β (γ,δ]; (v Δ-ntegral over (a,b] [c,d, whch s defned by usng parttons consstng of subrectangles of the form (α,β] [γ,δ. For brevty the frst ntegral we call smply a Δ-ntegral, and n ths paper we are dealng manly wth such Δ-ntegrals. For = 1,2 let us ntroduce the set T 0 whchsobtanedfromt by removng a possble fnte maxmal pont of T, that s, f T has a fnte maxmum t,thent 0 = T \{t }, otherwse T 0 = T. Brefly we wll wrte T 0 = T \{maxt }. Evdently, for every pont t T 0 there exsts an nterval of the form [α,β T (wth α,β T and α<β that contans the pont t. Defnton 2.6. Let E T 0 1 T 0 2 be a bounded set and let f be a bounded functon defned on the set E.LetR = [a,b [c,d T 1 T 2 be a rectangle contanng E (obvously such a rectangle R exsts and defne F on R as follows: f (t,s f(t,s E, F(t,s = 0 f(t,s R \ E. (2.18 Then f s sad to be Remann Δ-ntegrable over E f F s Remann Δ-ntegrable over R n the sense of Defnton 2.1,and f (t,sδ 1 tδ 2 s = F(t,sΔ 1 tδ 2 s. (2.19 E If E s an arbtrary bounded subset of T 0 1 T 0 2, then even constant functons need not be Remann Δ-ntegrable over E. In connecton wth ths we ntroduce the so-called Jordan Δ-measurable subsets of T 0 1 T 0 2. The defnton makes use of the Δ-boundary of R

M. Bohner and G. Sh. Gusenov 5 asete T 1 T 2. Frst, we recall the defnton of the usual boundary of a set as gven n [3]. Defnton 2.7. Let E T 1 T 2.Apontx = (t,s T 1 T 2 s called a boundary pont of E f every open (two-dmensonal ball B(x;r ={y T 1 T 2 : d(x, y <r} of radus r and center x contans at least one pont of E and at least one pont of (T 1 T 2 \ E, whered s the usual Eucldean dstance. The set of all boundary ponts of E s called the boundary of E and s denoted by E. Defnton 2.8. Let E T 1 T 2.Apontx = (t,s T 1 T 2 s called a Δ-boundary pont of E f x T 0 1 T 0 2 and every rectangle of the form [t,t [s,s T 1 T 2 wth t T 1, t >t,ands T 2, s >s, contans at least one pont of E and at least one pont of (T 1 T 2 \ E. The set of all Δ-boundary ponts of E s called the Δ-boundary of E,andt s denoted by Δ E. Defnton 2.9. Apont(t 0,s 0 T 0 1 T 0 2 s called Δ-dense f every rectangle of the form = [t 0,t [s 0,s T 1 T 2 wth t T 1, t>t 0,ands T 2, s>s 0, contans at least one pont of T 1 T 2 dstnct from (t 0,s 0. Otherwse the pont (t 0,s 0 scalledδ-scattered. Note that n the sngle varable case Δ-dense ponts are precsely the rght-dense ponts, and Δ-scattered ponts are precsely the rght-scattered ponts. Also, a pont (t 0,s 0 T 0 1 T 0 2 s Δ-dense f and only f at least one of t 0 and s 0 s rght dense n T 1 and T 2, respectvely. Obvously, each Δ-boundary pont of E s a boundary pont of E, buttheconverses not necessarly true. Also, each Δ-boundary pont of E must belong to T 0 1 T 0 2 and must be a Δ-dense pont n T 1 T 2. Example 2.10. We consder the followng examples. ( For arbtrary tme scales T 1 and T 2, the rectangle of the form E = [a,b [c,d T 1 T 2,wherea,b T 1, a<b,andc,d T 2, c<d,hasnoδ-boundary pont, that s, Δ E =. ( If T 1 = T 2 = Z, then any set E Z Z hasnoboundaryaswellasnoδ-boundary ponts. ( Let T 1 = T 2 = R and a,b,c,d R wth a<band c<d.letusset E 1 = [a,b [c,d, E 2 = (a,b] (c,d], E 3 = [a,b] [c,d]. (2.20 Then all three rectangles E 1, E 2,andE 3 have the boundary consstng of the unon of all four sdes of the rectangle. Moreover, Δ E 1 s empty, Δ E 2 conssts of the unon of all four sdes of the rectangle E 2,and Δ E 3 conssts of the unon of the rght and upper sdes of E 3. (v Let T 1 = T 2 = [0,1] {2}, where [0,1] s the real number nterval, and let E = [0,1 [0,1. Then the boundary E of E conssts of the unon of the rght and upper sdes of the rectangle E whereas Δ E =. (v Let T 1 = T 2 = [0,1] {(n +1/n : n N}, where [0,1] s the real number nterval, and let E = [0,1] [0,1]. Then the boundary E as well as the Δ-boundary Δ E of E concdes wth the unon of the rght and upper sdes of E.

6 Multple Lebesgue ntegraton on tme scales Defnton 2.11. Let E T 0 1 T 0 2 be a bounded set and let Δ E be ts Δ-boundary. Let R = [a,b [c,d bearectanglent 1 T 2 such that E Δ E R. Further,let (R denote the set of all Δ-parttons of R of type (2.5and(2.6. For every P (RdefneJ (E,P to be the sum of the areas (for a rectangle = [α,β [γ,δ T 1 T 2, ts area s the number m( = (β α(δ γ of those subrectangles of P whch are entrely contaned n E, andletj (E,P be the sum of the areas of those subrectangles of P each of whch contans at least one pont of E Δ E.Thenumbers J (E = sup { J (E,P:P (R }, J (E = nf { J (E,P:P (R } (2.21 are called the (two-dmensonal nner and outer Jordan Δ-measure of E, respectvely. The set E s sad to be Jordan Δ-measurable f J (E = J (E, n whch case ths common value s called the Jordan Δ-measure of E, denoted by J(E. The empty set s assumed to have Jordan Δ-measure zero. It s easy to verfy that 0 J (E J (E always and that J (E J (E = J ( Δ E. (2.22 Hence E s Jordan Δ-measurable f and only f ts Δ-boundary Δ E has Jordan Δ-measure zero. Note that every rectangle R = [a,b [c,d T 1 T 2,wherea,b T 1, a<b,and c,d T 2, c<d,sjordanδ-measurable wth Jordan Δ-measure J(R = (b a(d c. Indeed, t s easly seen that the Δ-boundary of R s empty, and therefore t has Jordan Δ-measure zero. For each pont x = (t,s T 0 1 T 0 2, the sngle pont set {x} s Jordan Δ-measurable, and ts Jordan measure s gven by J ( {x} = ( σ 1 (t t ( σ 2 (s s = μ 1 (tμ 2 (s. (2.23 Example 2.12. Let T 1 = T 2 = R (or T 1 = Z and T 2 = R, let a<bbe ratonal numbers n T 1,andletc<dbe ratonal numbers n T 2.Further,let[a,b] be the nterval n T 1,let [c,d] be the nterval n T 2,andletE be the set of all ponts of [a,b] [c,d] wth ratonal coordnates. Then E s not Jordan Δ-measurable. The nner Jordan Δ-measure of E s 0 (there s no nonempty Δ-rectangle entrely contaned n E, whle the outer Jordan Δ- measure of E s equal to (σ 1 (b a(d c. The Δ-boundary of E concdes wth E tself. If E T 0 1 T 0 2 s any bounded Jordan Δ-measurable set, then the ntegral E 1Δ 1 tδ 2 s exsts, and we have 1Δ 1 tδ 2 s = J(E. (2.24 E

M. Bohner and G. Sh. Gusenov 7 In the case T 1 = T 2 = Z, for any bounded set E Z Z we have Δ E = 0, and therefore E s Jordan Δ-measurable. In ths case, for any functon f : E R,wehave E f (t,sδ 1 tδ 2 s = (t,s E f (t,s, (2.25 and the Jordan Δ-measure of E concdes wth the number of ponts of E. Remark 2.13. Suppose that T 1 has a fnte maxmum τ (1 0. Snce by defnton σ 1 (τ (1 0 = τ (1 0, t s reasonable n vew of (2.23toassumethatJ({x} = 0 for any pont x of the form x = (τ (1 0,s, where s T 2.Also,fT 2 has a fnte maxmum τ (2 0, then we can assume that J({y} = 0 for any pont y of the form y = (t,τ (2 0, where t T 1. 3. Multple Lebesgue ntegraton Frst, for the convenence of the reader, we brefly descrbe the Carathéodory constructon of a Lebesgue measure n an abstract settng (see [1, 6 8]. Let X be an arbtrary set. A collecton (famly of subsets of X s called a semrng f ( ; ( A,B,thenA B ; ( A,B and B A,thenA \ B can be represented as a fnte unon A \ B = n C k (3.1 of parwse dsjont sets C k. A (set functon m : [0, ] whose doman s and whose values belong to the extended real half-lne [0, ]ssadtobeameasure on f ( m( = 0; ( m s (fntely addtve n the sense that f A such that A = n A,where A 1,...,A n are parwse dsjont, then m(a = k=1 n m ( A. (3.2 Ameasurem wth doman of defnton s sad to be countably addtve (or σ-addtve f, for every sequence {A } of dsjont sets n whose unon s also n,wehave ( m A = m ( A. (3.3 Let (X be the collecton of all subsets of X, a semrng of subsets of X,andm : [0, ]aσ-addtve measure of. Defne the set functon m : (X [0, ] (3.4

8 Multple Lebesgue ntegraton on tme scales as follows. Let E be any subset of X. If there exsts at least one fnte or countable system of sets, = 1,2,...,suchthatE,thenweput m (E = nf m (, (3.5 where the nfmum s taken over all coverngs of E by a fnte or countable system of sets. If there s no such coverng of E, thenweputm (E =. The set functon m defned above s called an outer measure on (X (or on X generated by the par (,m. The outer measure m s defned for each E X, however, t cannot be taken as a measure on X because t s not addtve n general. In order to guarantee the addtvty of m we must restrct m to the collecton of the so-called measurable subsets of X.AsubsetA of X s sad to be m -measurable (or measurable wth respect to m f m (E = m (E A+m ( E A C, E X, (3.6 where A C = X \ A denotes the complement of the set A. A fundamental fact of measure theory s that (see [6, Theorem 1.3.4] the famly M(m ofallm -measurable subsets of X s a σ-algebra (.e., M(m contans X and s closed under the formaton of countable unons and of complements and the restrcton of m to M(m, whch we denote by μ, saσ-addtve measure on M(m. We have M(m andμ( = m( foreach. The measure μ s called the Carathéodory extenson of the orgnal measure m defned on the semrng. The measure μ obtaned n ths way s also called the Lebesgue measure on X generated by the par (,m. Note that the man dfference between the Jordan and Lebesgue-Carathéodory constructons of measure of a set s that the Jordan constructon makes use only of fnte coverngs of the set by some elementary sets whereas the Lebesgue-Carathéodory constructon together wth the fnte coverngs admts countable coverngs as well. Due to ths fact the noton of the Lebesgue measure generalzes the noton of the Jordan measure. Passng now on to tme scales, let n N be fxed. For each {1,...,n},letT denote atmescaleandletσ, ρ,andδ denote the forward jump operator, the backward jump operator, and the delta dfferentaton operator on T, respectvely. Let us set Λ n = T 1 T n = { t = ( t 1,...,t n : t T,1 n }. (3.7 We call Λ n an n-dmensonal tme scale. The set Λ n s a complete metrc space wth the metrc d defned by ( n 1/2 d(t,s = t s 2 for t,s Λ n. (3.8 Denote by the collecton of all rectangular paralleleppeds n Λ n of the form = [ a 1,b 1 [ an,b n = { t = ( t1,...,t n Λ n : a t <b,1 n } (3.9 wth a = (a 1,...,a n, b = (b 1,...,b n Λ n,anda b for all 1 n. Ifa = b for some values of, then s understood to be the empty set. We wll call also an

M. Bohner and G. Sh. Gusenov 9 (n-dmensonal left-closed and rght-open nterval n Λ n and denote t by [a,b. Let m : [0, be the set functon that assgns to each parallelepped = [a,b tsvolume: m( = n ( b a. (3.10 Then t s not dffcult to verfy that s a semrng of subsets of Λ n and m s a σ-addtve measure on.byμ Δ we denote the Carathéodory extenson of the measure m defned on the semrng and call μ Δ the Lebesgue Δ-measure on Λ n.them -measurable subsets of Λ n wll be called Δ-measurable sets and m -measurable functons wll be called Δ- measurable functons. Theorem 3.1. Let T 0 = T \{maxt }. For each pont t = ( t 1,...,t n T 0 1 T 0 n (3.11 the sngle-pont set {t} s Δ-measurable, and ts Δ-measures gven by ( n ( ( n ( μ Δ {t} = σ t t = μ t. (3.12 Proof. If t <σ (t forall1 n,then Therefore {t} sδ-measurable and {t}= [ t 1,σ 1 ( t1 [ tn,σ n ( tn. (3.13 ( ([ ( [ ( n ( ( μ Δ {t} = m t1,σ 1 t1 tn,σ n tn = σ t t, (3.14 whch s the desred result. Further consder the case when t = σ (t forsomevalues of {1,...,n} and t <σ (t for the other values of. To llustrate the proof, suppose t = σ (t for1 n 1andt n <σ n (t n. In ths case for each {1,...,n 1} there exsts a decreasng sequence {t (k k. Consder the paralleleppeds n Λ n, Then } k N of ponts of T such that t (k (k = [ t 1,t (k [ 1 tn 1,t (k [ ( n 1 tn,σ n tn >t and t (k t as for k N. (3.15 (1 (2, {t}= (k. (3.16 k=1 Hence {t} s Δ-measurable as a countable ntersecton of Δ-measurable sets, and by the

10 Multple Lebesgue ntegraton on tme scales contnuty property of the σ-addtve measure μ Δ,wehave ( ( μ Δ {t} = lm μ Δ (k ( = lm t (k ( 1 t 1 t (k ( ( n 1 t n 1 σn tn tn = 0, k k (3.17 and so (3.12 holds n ths case as well. Example 3.2. In the case T 1 = =T n = R, the measure μ Δ concdes wth the ordnary Lebesgue measure on R n. In the case T 1 = =T n = Z,foranyE Z n, μ Δ (E concdes wth the number of ponts of the set E. Example 3.3. The set E gven above n Example 2.12 s Lebesgue Δ-measurable and ts (two-dmensonal Lebesgue Δ-measure s equal to zero. Havng the σ-addtve measure μ Δ on Λ n, we possess the correspondng ntegraton theory for functons f : E Λ n R, accordng to the general Lebesgue ntegraton theory (see, e.g., [6]. The Lebesgue ntegral assocated wth the measure μ Δ on Λ n s called the Lebesgue Δ-ntegral.ForaΔ-measurable set E Λ n and a Δ-measurable functon f : E R, the correspondng Δ-ntegral of f over E wll be denoted by f ( t 1,...,t n Δ1 t 1 Δ n t n, f (tδt, or fdμ Δ. (3.18 E E So all theorems of the general Lebesgue ntegraton theory, ncludng the Lebesgue domnated convergence theorem, hold also for Lebesgue Δ-ntegrals on Λ n.fnally,wecompare the Lebesgue Δ-ntegral wth the Remann Δ-ntegral. Theorem 3.4. Let = [a,b be a rectangular parallelepped n Λ n of the form (3.9andlet f be a bounded real-valued functon on. If f s Remann Δ-ntegrable over, then f s Lebesgue Δ-ntegrable over,and R f (tδt = L f (tδt, (3.19 where R and L ndcate the Remann and Lebesgue Δ-ntegrals, respectvely. Proof. Suppose that f s Remann Δ-ntegrable over = [a,b. Then, by Theorem 2.4, for each k N we can choose δ k > 0(wthδ k 0ask andaδ-partton P (k = {R (k } N(k of such that P (k δk (andu( f,p (k L( f,p (k < 1/k.Hence lm L ( f,p (k = lm U ( f,p (k = R f (tδt. (3.20 k k By replacng the parttons P (k wth fner parttons f necessary, we can assume that for each k N the partton P (k+1 s a refnement of the partton P (k.letusset m (k = nf { f (t:t R (k }, M (k = sup { f (t:t R (k } E (3.21 for = 1,2,...,N(k, and defne sequences {ϕ k } k N and {φ k } k N of functons on by lettng ϕ k (t m (k, φ k (t M (k for t R (k,1 N(k. (3.22

M. Bohner and G. Sh. Gusenov 11 Then {ϕ k } s a nondecreasng and {φ k } s a nonncreasng sequence of smple Δ-measurable functons. For each k N,wehave ϕ k ϕ k+1, φ k φ k+1, (3.23 ϕ k f φ k, (3.24 L ϕ k (tδt = L ( f,p (k, L φ k (tδt = U ( f,p (k. (3.25 Snce f s bounded, the sequences {ϕ k } and {φ k } are bounded by (3.21and(3.22. Addtonally takng the monotoncty (3.23 nto account, we conclude that the lmt functons ϕ(t = lm k ϕ k (t, φ(t = lm k φ k (t fort (3.26 exst and that ϕ(t f (t φ(t, t. (3.27 The functons ϕ and φ are Δ-measurable as lmts (3.26 oftheδ-measurable functons ϕ k and φ k, respectvely. Lebesgue s domnated convergence theorem mples that ϕ and φ are Lebesgue Δ-ntegrable over and lm L ϕ k (tδt = L ϕ(tδt, k lml φ k (tδt = L φ(tδt. (3.28 k Therefore passng on to the lmt n (3.25 ask and takng (3.20 nto account, we obtan L ϕ(tδt = L φ(tδt = R f (tδt. (3.29 From (3.29wefnd [ ] L φ(t ϕ(t Δt = 0. (3.30 Sncenaddtonφ(t ϕ(t 0forallt,(3.30 mples ϕ(t = φ(t Δ-almost everywhere on. (3.31 So (3.27and(3.31 show that f (t = ϕ(t Δ-almost everywhere on. It follows that f s Lebesgue Δ-ntegrable together wth ϕ and that the Lebesgue Δ-ntegrals of f and ϕ over concde. Now from (3.29 we get that the Lebesgue Δ-ntegral of f over concdes wth the Remann Δ-ntegral of f over. Remark 3.5. Let E be a bounded Jordan Δ-measurable set n T 0 1 T 0 n and f : E R a bounded functon. Usng Defnton 2.6 and Theorem 3.4 wegetthatf f s Remann Δ- ntegrable over E,then f s Lebesgue Δ-ntegrable over E, and the values of the ntegrals concde.

12 Multple Lebesgue ntegraton on tme scales Remark 3.6. We can defne Lebesgue nabla measure (and hence Lebesgue nabla ntegral on Λ n by replacng the famly of paralleleppeds of the form (3.9 by the famly of paralleleppeds of the form wth the same volume formula = ( a 1,b 1 ] ( an,b n ], (3.32 m( = n ( b a. (3.33 Smlarly we can defne mxed types of Lebesgue measures on Λ n by takng the famles of paralleleppeds n whch one part of the consttuent ntervals of the paralleleppeds s left closed and rght open and the other part s left open and rght closed (see also Remark 2.5. References [1] G. Aslm and G. Sh. Gusenov, Weak semrngs, ω-semrngs, and measures, Bulletn of the Allahabad Mathematcal Socety 14 (1999, 1 20. [2] M. Bohner and G. Sh. Gusenov, Partal dfferentaton on tme scales, Dynamc Systems and Applcatons 13 (2004, no. 3-4, 351 379. [3], Multple ntegraton on tme scales, Dynamc Systems and Applcatons 14 (2005, no. 3-4, 579 606. [4] M. Bohner and A. Peterson, Dynamc Equatons on Tme Scales, Brkhäuser Boston, Massachusetts, 2001. [5] M. Bohner and A. Peterson (eds., Advances n Dynamc Equatons on Tme Scales, Brkhäuser Boston, Massachusetts, 2003. [6] D. L. Cohn, Measure Theory,Brkhäuser Boston, Massachusetts, 1980. [7] P.R.Halmos,Measure Theory, D. an Nostrand, New York, 1950. [8] A. N. KolmogorovandS.. Fomīn, Introductory Real Analyss, Dover, New York, 1975. Martn Bohner: Department of Mathematcs and Statstcs, Unversty of Mssour-Rolla, Rolla, MO 65401, USA E-mal address: bohner@umr.edu Gusen Sh. Gusenov: Department of Mathematcs, Atlm Unversty, 06836 Incek, Ankara, Turkey E-mal address: gusenov@atlm.edu.tr