Chapter IV Integration Theory

Similar documents
Chapter IV Integration Theory

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Lecture 3 The Lebesgue Integral

Measure and Measurable Functions

Chapter 0. Review of set theory. 0.1 Sets

A Proof of Birkhoff s Ergodic Theorem

FUNDAMENTALS OF REAL ANALYSIS by. V.1. Product measures

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

6.3 Testing Series With Positive Terms

Sequences and Series of Functions

lim za n n = z lim a n n.

The Boolean Ring of Intervals

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

Lecture Notes for Analysis Class

Axioms of Measure Theory

Beurling Integers: Part 2

1. By using truth tables prove that, for all statements P and Q, the statement

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

2 Banach spaces and Hilbert spaces

Chapter 6 Infinite Series

The Growth of Functions. Theoretical Supplement

Seunghee Ye Ma 8: Week 5 Oct 28

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1

7.1 Convergence of sequences of random variables

Infinite Sequences and Series

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

MA131 - Analysis 1. Workbook 3 Sequences II

n=1 a n is the sequence (s n ) n 1 n=1 a n converges to s. We write a n = s, n=1 n=1 a n

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

4 The Sperner property.

Math 220A Fall 2007 Homework #2. Will Garner A

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so

Notes on Snell Envelops and Examples

Sequences, Series, and All That

MAS111 Convergence and Continuity

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

INFINITE SEQUENCES AND SERIES

DANIELL AND RIEMANN INTEGRABILITY

Singular Continuous Measures by Michael Pejic 5/14/10

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that

2.4 Sequences, Sequences of Sets

Math Solutions to homework 6

Riesz-Fischer Sequences and Lower Frame Bounds

Lecture 3 : Random variables and their distributions

7 Sequences of real numbers

CHAPTER I: Vector Spaces

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

Enumerative & Asymptotic Combinatorics

Advanced Stochastic Processes.

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS

Math 341 Lecture #31 6.5: Power Series

Solutions to home assignments (sketches)

Cardinality Homework Solutions

5 Birkhoff s Ergodic Theorem

5 Many points of continuity

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n =

M17 MAT25-21 HOMEWORK 5 SOLUTIONS

SOME TRIBONACCI IDENTITIES

TEACHER CERTIFICATION STUDY GUIDE

1 Convergence in Probability and the Weak Law of Large Numbers

Recitation 4: Lagrange Multipliers and Integration

Math 140A Elementary Analysis Homework Questions 3-1

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Commutativity in Permutation Groups

Mathematical Induction

Math 61CM - Solutions to homework 3

MA131 - Analysis 1. Workbook 2 Sequences I

Math 299 Supplement: Real Analysis Nov 2013

The multiplicative structure of finite field and a construction of LRC

TENSOR PRODUCTS AND PARTIAL TRACES

Lecture XVI - Lifting of paths and homotopies

Part A, for both Section 200 and Section 501

DIVISIBILITY PROPERTIES OF GENERALIZED FIBONACCI POLYNOMIALS

1 Introduction. 1.1 Notation and Terminology

1 Lecture 2: Sequence, Series and power series (8/14/2012)

7.1 Convergence of sequences of random variables

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Week 5-6: The Binomial Coefficients

Exercises 1 Sets and functions

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

Square-Congruence Modulo n

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Mathematical Methods for Physics and Engineering

In number theory we will generally be working with integers, though occasionally fractions and irrationals will come into play.

Summary: Congruences. j=1. 1 Here we use the Mathematica syntax for the function. In Maple worksheets, the function

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F.

Introductory Analysis I Fall 2014 Homework #7 Solutions

Math 155 (Lecture 3)

Relations Among Algebras

Resolution Proofs of Generalized Pigeonhole Principles

MAT1026 Calculus II Basic Convergence Tests for Series

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

MATH4822E FOURIER ANALYSIS AND ITS APPLICATIONS

ON MEAN ERGODIC CONVERGENCE IN THE CALKIN ALGEBRAS

Disjoint Systems. Abstract

FUNDAMENTALS OF REAL ANALYSIS by

Math 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions

Transcription:

Chapter IV Itegratio Theory

Lectures 32-33 1. Costructio of the itegral I this sectio we costruct the abstract itegral. As a matter of termiology, we defie a measure space as beig a triple (, A, µ), where is some (o-empty) set, A is a σ-algebra o, ad µ is a measure o A. The measure space (, A, µ) is said to be fiite, if If µ() <. Defiitio. Let (, A, µ) be a measure space, ad let K be oe of the fields R or R. A K-valued elemetary µ-itegrable fuctio o (, A, µ) is a fuctio f : K, with the followig properties the rage f() of f is a fiite set; f 1 ({α}) A, ad µ ( f 1 ({α}) ) <, for all α f() {0}. We deote by L 1 K,elem (, A, µ) the collectio of all such fuctios. Remarks 1.1. Let (, A, µ) be a measure space. A. Every K-valued elemetary µ-itegrable fuctio f o (, A), µ) is measurable, as a map f : (, A) ( K, Bor(K ). I fact, ay such f ca be writte as f = α 1 κ A1 + + α κ A, with α k K, A k A ad µ(a k ) <, k = 1,...,. Usig the otatios from III.1, we have the iclusio L 1 K,elem(, A, µ) A-Elem K (). B. If we cosider the collectio R = {A A : µ(a) < }, the R is a rig, ad, we have the equality L 1 K,elem(, A, µ) = R-Elem K (). I particular, it follows that L 1 K,elem (, A, µ) is a K-vector space. The followig result is the first step i the costructio of the itegral. Theorem 1.1. Let (, A, µ) be a measure space, ad let K be oe of the fields R or C. The there exists a uique K-liear map I µ elem : L1 K,elem (, A, µ) K, such that (1) I µ elem (κ A) = µ(a), for all A A, with µ(a) <. Proof. For every f L 1 K,elem (, A, µ), we defie I µ elem (f) = α µ ( f 1 ({α}) ), α f() {0} 291

292 LECTURE 32-33 with the covetio that, whe f() = {0} (which is the same as f = 0), we defie I µ elem (f) = 0. It is obvious that Iµ elem satsifies the equality (1) for all A A with µ(a) <. Oe key feature we are goig to use is the followig. Claim 1: Wheever we have a fiite pairwise disjoit sequece (A k ) A, with µ(a k ) <, k = 1,...,, oe has the equality I µ elem (α 1κ A1 + + α κ A ) = α 1 µ(a 1 ) + + α µ(a ), α 1,..., α K. It is obvious that we ca assume α j 0, j = 1,...,. To prove the above equality, we cosider the elemetary µ-itegrable fuctio f = α 1 κ A1 + +α κ A, ad we observe that f() {0} = {α 1 } {α }. It may be the case that some of the α s a equal. We list f() {0} = {β 1,..., β p }, with β j β k, for all j, k {1,..., p} with j k. For each k {1,..., p}, we defie the set J k = { j {1,..., } : α j = β k }. It is obvious that the sets (J k ) p are pairwise disjoit, ad we have J 1 J p = {1,..., }. Moreover, for each k {1,..., p}, oe has the equality f 1 ({β k }) = j J k A j, so we get β k µ ( f 1 ({β k }) ) = β k µ(a j ) = α j µ(a j ), k {1,..., p}. j J k j J k By the defiitio of I µ elem we the get p I µ elem (f) = β k µ ( f 1 ({β k }) ) = p [ ] α j µ(a j ) = j J k α j µ(a j ). Claim 2: For every f L 1 K,elem (, A, µ), ad every A A with µ(a) <, oe has the equality (2) I µ elem (f + ακ A ) = Iµ elem (f) + αµ(a), α K. Write f = α 1 κ A1 + + α κ A, with (A j ) j=1 A pairwise disjoit, ad µ(a j) <, j = 1,...,. I order to prove (2), we are goig to write the fuctio f + ακ A i a similar way, ad we are goig to apply Claim 1. Cosider the sets B 1, B 2,..., B 2, B 2+1 A defied by B 2+1 = A (A 1 A ), ad B 2k 1 = A k A, B 2k = A k A, k = 1,...,. It is obvious that the sets (B p ) p=1 2+1 are pairwise disjoit. Moreover, oe has the equalities (3) B 2k 1 B 2k = A k, k {1,..., }, as well as the equality (4) A = +1 B 2k 1. Usig these equalities, ow we have f + ακ A = 2+1 p=1 β pκ Bp, where β 2+1 = α, ad β 2k = α k ad β 2k 1 = α k + α, k {1,..., }. Usig these equalities, j=1

CHAPTER IV: INTEGRATION THEORY 293 combied with Claim 1, ad (3) ad (4), we ow get 2+1 I µ elem (f + ακ A ) = = αµ(b 2+1 ) + p=1 β p µ(b p ) = [ (αk + α)µ(b 2k 1 ) + α k µ(b 2k ) ] = [ +1 ] = α µ(b 2k 1 ) = αµ ( +1 = αµ(a) + B 2k 1 ) ) + [ + α k [ µ(b2k 1 ) + µ(b 2k ) ]] = α k µ(b 2k 1 B 2k ) = α k µ(a k ) = αµ(a) + I µ elem (f), ad the Claim is prove. We ow prove that I µ elem is liear. The equality I µ elem (f + g) = Iµ elem (f) + Iµ elem (g), f, g L1 K,elem(, A, µ) follows from Claim 2, usig a obvious iductive argumet. The equality I µ elem (αf) = αiµ elem (f), α K, f L1 K,elem(, A, µ). is also pretty obvious, from the defiitio. The uiqueess is also clear. Defiitio. With the otatios above, the liear map is called the elemetary µ-itegral. I µ elem : L1 K,elem(, A, µ) K I what follows we are goig to ecouter also situatios whe certai relatios amog measurable fuctios hold almost everywhere. We are goig to use the followig. Covetio. Let T be oe of the spaces [, ] or C, ad let r be some relatio o T (i our case r will be either =, or, or, o [, ]). Give a measurable space (, A, µ), ad two measurable fuctios f 1, f 2 : T, if the set f 1 r f 2, µ-a.e. A = { x : f 1 (x) r f 2 (x) } belogs to A, ad it has µ-ull complemet i, i.e. µ( A) = 0. (If r is oe of the relatios listed above, the set A automatically belogs to A.) The abreviatio µ-a.e. stads for µ-almost everywhere. Remark 1.2. Let (, A, µ) be a measure space, let f A-Elem K () be such that f = 0, µ-a.e. The f L 1 K,elem (, A, µ), ad Iµ elem (f) = 0. Ideed, if we defie the set N = {x : f(x) 0},

294 LECTURE 32-33 the N A ad µ(n) = 0. ice f 1 ({α}) N, α f() {0}, it follows that µ ( f 1 ({α}) ) = 0, α f() {0}, ad the by the defiitio of the elemetary µ-itegral, we get I µ elem (f) = 0. Oe useful property of elemetary itegrable fuctios is the followig. Propositio 1.1. Let (, A, µ) be a measure space, let f, g L 1 R,elem (, A, µ), ad let h A-Elem R () be such that The h L 1 R (, A, µ), ad f h g, µ-a.e. (5) I µ elem (f) Iµ elem (h) Iµ elem (h). Proof. Cosider the sets A = {x : f(x) > h(x)} ad B = {x : h(x) > g(x)}, which both belog to A, ad have µ(a) = µ(b) = 0. The set M = A B also belogs to A ad has µ(m) = 0. Defie the fuctios f 0 = f(1 κ M ), g 0 = g(1 κ M ), ad h 0 = h(1 κ M ). It is clear that f 0, g 0, ad h 0 are all i A-Elem R (). Moreover, we have the equalities f 0 = f, µ-a.e., g 0 = g, µ-a.e., ad h 0 = h, µ-a.e., so by Remark??, combied with Theorem 1.1, the fuctios f 0 = f + (f 0 f) ad g 0 = (g 0 g) + g both belog to L 1 R (, A, µ), ad we have the equalities (6) I µ elem (f 0) = I µ elem (f) ad Iµ elem (g 0) = I µ elem (g). Notice ow that we have the (absolute) iequality f 0 h 0 g 0. Let us show that h 0 is elemetary itegrable. tart with some α h 0 () {0}. If α > 0, the, usig the iequality h 0 g 0, we get h 1 ( ) 0 ({α}) g 1 0 (0, ) g0 1 ({λ}), λ g 0() {0} which proves that µ ( h 1 0 ({α})) <. Likewise, if α < 0, the, usig the iequality h 0 f 0, we get h 1 0 ( ) 1 ({α}) f0 (, 0) f0 1 ({λ}), λ f 0() {0} which proves agai that µ ( h 1 0 ({α})) <. Havig show that h 0 is elemetary itegrable, we ow compare the umbers I µ elem (f), Iµ elem (h 0), ad I µ (g). Defie the fuctios f 1 = h 0 f 0, ad g 1 = g 0 h 0. By Theorem 1.1, we kow that f 1, g 1 L 1 R,elem (, A, µ). ice f 1, g 1 0, we have f 1 (), g 1 () [0, ), so it follows immediately that I µ elem (f 1) 0 ad I µ elem (g 1) 0. Now, agai usig Theorem 1.1, ad (6), we get I µ elem (h 0) = I µ elem (f 0 + f 1 ) = I µ elem (f 0) + I µ elem (f 1) I µ elem (f 0) = I µ elem (f); I µ elem (h 0) = I µ elem (g 0 g 1 ) = I µ elem (g 0) I µ elem (g 1) I µ elem (g 0) = I µ elem (g). ice h = h 0, µ-a.e., by the above Remark it follows that h L 1 R,elem (, A, µ), ad I µ elem (h) = Iµ elem (h 0), so the desired iequality (5) follows immediately. We ow defie aother type of itegral.

CHAPTER IV: INTEGRATION THEORY 295 Defiitio. Let (, A, µ) be a measure space. A measurable fuctio f : [0, ] is said to be µ-itegrable, if (a) every h A-Elem R (), with 0 h f, is elemetary µ-itegrable; (b) sup { I µ elem (h) : h A-Elem R(), 0 h f } <. If this is the case, the above supremum is deoted by I µ +(f). The space of all such fuctios is deoted by L 1 +(, A, µ). The map is called the positive µ-itegral. I µ + : L 1 +(, A, µ) [0, ) The first (legitimate) questio is whether there is a overlap betwee the two defiitios. This is awered by the followig. Propositio 1.2. Let (, A, µ) be a measure space, ad let f A-Elem R () be a fuctio with f 0. The followig are equivalet (i) f L 1 +(, A, µ); (ii) f L 1 R,elem (, A, µ). Moreover, if f is as above, the I µ elem (f) = Iµ +(f). Proof. The implicatio (i) (ii) is trivial. To prove the implicatio (ii) (i) we start with a arbitrary elemetary h A-Elem R (), with 0 h f. Usig Propositio 1.1, we clearly get (a) h L 1 R,elem (, A, µ); (b) I µ elem (h) Iµ elem (f). Usig these two facts, it follows that f L 1 +(, A, µ), as well as the equality sup { I µ elem (h) : h A-Elem R(), h f } = I µ elem (f), which gives I µ +(f) = I µ elem (f). We ow examie properties of the positive itegral, which are similar to those of the elemetary itegral. The followig is a aalogue of Propositio 1.1. Propositio 1.3. Let (, A, µ) be a measure space, let f L 1 +(, A, µ), ad let g : [0, ] be a measurable fuctio, such that g f, µ-a.e., the g L 1 +(, A, µ), ad I µ +(g) I µ +(f). Proof. tart with some elemetary fuctio h A-Elem R (), with 0 h g. Cosider the sets M = {x : h(x) > f(x)} ad N = {x : g(x) > f(x)}, which obviously belog to A. ice N N, ad µ(n) = 0, we have µ(m) = 0. If we defie the elemetary fuctio h 0 = h(1 κ M ), the we have h = h 0, µ-a.e., ad 0 h 0 f, so it follows that h 0 L 1 R,elem (, A, µ), ad Iµ elem (h 0) I µ (f). ice h = h 0, µ-a.e., by Propositio 1.1., it follows that h L 1 R,elem (, A, µ), ad I µ elem (h) = Iµ elem (h 0) I +(f). µ By defiitio, this gives g L 1 +(, A, µ) ad I +(g) µ I +(f). µ Remark 1.3. Let (, A, µ) be a measure space, ad let f L 1 +(, A, µ). Although f is allowed to take the value, it turs out that this is iessetial. More precisely oe has µ ( f 1 ({ }) ) = 0.

296 LECTURE 32-33 This is i fact a cosequece of the equality (7) lim t µ ( f 1 ([t, ]) ) = 0. Ideed, if we defie, for each t (0, ), the set A t = f 1 ([t, ]) A, the we have 0 tκ At f. This forces the fuctios tκ At, t (0, ) to be elemetary itegrable, ad µ(a t ) Iµ +(f), t (0, ). t This forces lim t µ(a t ) = 0. The ext result explais the fact that positive itegrability is a decomposable property. Propositio 1.4. Let (, A, µ) be a measure space. uppose (A k ) A is a pairwise disjoit fiite sequece, with A 1 A =. For a measurable fuctio f : [0, ], the followig are equivalet. (i) f L 1 +(, A, µ); (ii) fκ Ak L 1 +(, A, µ), k = 1,...,. Moreover, if f satisfies these equivalet coditios, oe has I +(f) µ = I +(fκ µ Ak ). Proof. The implicatio (i) (ii) is trivial, sice we have 0 fκ Ak f, so we ca apply Propositio 1.3. To prove the implicatio (ii) (i), start by assumig that f satisfies coditio (ii). We first observe that every elemetary fuctio h A-Elem R (), with 0 h f, has the properties: (a) h L 1 R,elem (, A, µ); (b) I µ elem (h) Iµ +(fκ Ak ). This is immediate from the fact that we have the equality h = hκ A k, ad all fuctio hκ Ak are elemetary, ad satisfy 0 hκ Ak fκ Ak, ad the everythig follows from Theorem 1.1 ad the defiitio of the positive itegral which gives I µ elem (hκ A k ) I +(fκ µ Ak ). Of course, the properties (a) ad (b) above prove that f L 1 +(, A, µ), as well as the iequality I +(f) µ I +(fκ µ Ak ). To prove that we have i fact equality, we start with some ε > 0, ad we choose, for each k {1,..., }, a fuctio h k L 1 R,elem (, A, µ), such that 0 h k fκ Ak, ad I µ elem (h k) I +(fκ µ Ak ) ε. By Theorem 1.1, the fuctio h = h 1 + + h belogs to L 1 R,elem (, A, µ), ad has (8) I µ elem (h) = I µ elem (h k) ( I +(fκ µ Ak ) ) ε. We obviously have h = h k fκ Ak = f,

CHAPTER IV: INTEGRATION THEORY 297 so we get I µ elem (h) Iµ (f), thus the iequality (8) gives I µ (f) ( I +(fκ µ Ak ) ) ε. ice this iequality holds for all ε > 0, we get I µ (f) Iµ +(fκ Ak ), ad we are doe. Remark 1.4. Let (, A, µ) be a measure space, ad let A. We ca A = {A : A A} = {A A : A }, so that A A is a σ-algebra o. The restrictio of µ to A will be deoted by µ. With these otatios, (, A, µ ) is a measure space. It is ot hard to see that for a measurable fuctio f : [0, ], the coditios fκ L 1 +(, A, µ), f L 1 +(, A, µ ) are equivalet. Moreover, i this case oe has the equality I µ +(fκ ) = I µ + (f ). This is a cosequece of the fact that these two coditios are equivalet if f is elemetary, combied with the fact that the restrictio map h h establishes a bijectio betwee the sets { h A-ElemR () : 0 h fκ }, { k A -Elem R () : 0 k f }. The ext result gives a alterative defiitio of the positive itegral, for fuctios that are domiated by elemetary itegrable oes. Propositio 1.5. Let (, A, µ) be a measure space, let f : [0, ] be a measurable fuctio. Assume there exists h 0 L 1 R,elem (, A, µ), with h 0 f. The f L 1 +(, A, µ), ad oe has the equality (9) I µ +(f) = if { I µ elem (h) : h L1 R,elem(, A, µ), h f }. Proof. ice h 0 0, by Propositio 1.2, we kow that h 0 L 1 +(, A, µ). The fact that f L 1 +(, A, µ) the follows from Propositio 1.3, combied with the iequality h 0 f. More geerally, agai by Propositios 1.2 ad 1.3, we kow that for ay h L 1 R,elem (, A, µ), with h f, we have h L1 +(, A, µ), as well as the iequality I µ +(f) I µ +(h) = I µ elem (h). o, if we deote the right had side of (9) by J(f), we have I +(f) µ J(f) I µ elem (h 0). We ow prove the other iequality I +(f) µ J(f). If h 0 = 0, there is othig to prove. Assume h 0 is ot idetically zero. Without ay loss of geerality, we ca assume that h 0 = βκ B, for some β (0, ) ad B A with µ(b) <. (If we defie B = h 1 0 ( (0, ) ) = α h 0() {0} h 1 0 ({α}), ad if we set β = max h 0(), the we clearly have µ(b) <, ad h 0 βκ B.) For every iteger 1, we defie the sets A 1,..., A A by A k = f 1( ( (k 1)β, kβ ]), k = 1,...,,

298 LECTURE 32-33 ad we defie the elemetary fuctios (k 1)β g = κ A k ad h = kβ κ A k. The mai features of these costructios are collected i the followig. Claim: For every 1, the fuctios g ad h are elemetary itegrable, ad satisfy the iequalities 0 g f h h 0, as well as I µ elem (h ) I µ elem (g ) + βµ(b). To prove this fact, we fix 1, ad we first remark that the sets (A k ) are pairwise disjoit. ice 0 f h 0 = βκ B, we have A 1 A = f 1( (0, β] ) B. I particular, if we defie A = A 1 A B, we have h = β κ A k = βκ A βκ B. kβ κ A k Let us prove the iequalities g f h. tart with some arbitrary poit x, ad let us show that g (x) f(x) h (x). If f(x) = 0, there is othig to prove, because this forces κ A k (x) = 0, k = 1,...,. Assume ow f(x) > 0. ice f βκ B, we ow that f(x) (0, β], so there exists a uique k {1,..., }, such that (k 1)β < f(x) kβ, i.e. x A k. We the obviously have g (x) = (k 1)β κ A k (x) = (k 1)β < f(x) kβ = kβ κ A (x) = h (x), k ad we are doe. Fially, let us observe that sice g h h 0, it follows that g ad h are i L 1 +(, A, µ), so g ad h are elemetary itegrable. Notice that h g = β κ A k = β κ A β κ B, so we have I µ elem (h g ) I µ elem ( β κ B ) = βµ(b), so usig Theorem 1.1, we get I µ elem (h ) = I µ elem (g ) + I µ elem (h g ) I µ (g ) + βµ(b). Havig prove the Claim, we immediately see that by the defiitio of the positive itegral, we have J(f) I µ elem (h ) I µ (g ) + βµ(b) ice the iequality J(f) I +(f) µ + βµ(b) J(f) I +(f). µ I +(f) µ + βµ(b). holds for all 1, it will clearly force Our ext goal is to prove a aalogue of Theorem 1.1, for the positive itegral (Theorem 1.2 below). We discuss first a weaker versio. Lemma 1.1. Let (, A, µ) be a measure space. (i) If f L 1 +(, A, µ) ad g L 1 R,elem (, A, µ) are such that g + f 0, the g + f L 1 +(, A, µ), ad I +(g µ + f) = I µ elem (g) + Iµ +(f). (ii) If f L 1 +(, A, µ) ad g L 1 R,elem (, A, µ) are such that g f 0, the g f L 1 +(, A, µ), ad I +(g µ f) = I µ elem (g) Iµ +(f).

CHAPTER IV: INTEGRATION THEORY 299 Proof. (i). We start with a weaker versio. Claim: If f L 1 +(, A, µ) ad g L 1 R,elem (, A, µ), are such that g +f 0, the g + f L 1 +(, A, µ), ad I +(g µ + f) I µ elem (g) + Iµ +(f). What we eed to prove is the fact that, for every h A-Elem R (), with 0 h g + f, we have: (a) h L 1 R,elem (, A, µ); (b) I µ elem (h) Iµ elem (g) + Iµ +(f). Cosider the elemetary fuctio h 1 = max{h g, 0}. It is obvious that 0 h 1 f, so by Propositio 1.3, it follows that h 1 L 1 +(, A, µ), ad I +(h µ 1 ) I +(f). µ By Propositio 1.2, this gives h 1 L 1 R,elem (, A, µ), ad (10) I µ elem (h 1) = I µ +(h 1 ) I µ +(f). Usig the obvious iequality g h g h 1, agai by Propositio 1.2, it follows that h g L 1 R,elem (, A, µ), ad (11) I µ elem (h g) Iµ elem (h 1). Of course, by Theorem 1.1, this gives the fact that h = (h g) + g is elemetary µ-itegrable, as well as the equality I µ elem (h) = Iµ elem (h g) + Iµ elem (g). Combiig this with (11) ad (10) immediately gives I µ elem (h) Iµ elem (h 1) + I µ elem (g) Iµ +(f) + I µ elem (g), ad the Claim is prove. Havig prove the above Claim, we ow proceed with the proof of (i). If f L 1 +(, A, µ) ad g L 1 R,elem (, A, µ) are such that g + f 0, the by the Claim, we already kow that g+f L 1 +(, A, µ), ad I µ (g+f) I µ elem (g)+iµ +(f). We apply ow agai the Claim to the fuctios f 1 = g + f ad g 1 = g, to get I µ +(f) = I µ +(g 1 + f 1 ) I µ elem (g 1) + I µ +(f 1 ) = I µ +(g) + I + (g + f), which gives the other iequality I µ elem (g) + Iµ +(f) I +(g µ + f). (ii). tart with f L 1 +(, A, µ) ad g L 1 R,elem (, A, µ), with g f 0. First of all, sice 0 g f g, by Propositio 1.5, it follows that g f L 1 +(, A, µ), ad (12) I µ +(g f) = if { I µ elem (k) : k L1 R,elem(, A, µ), k g f }. ecod, remark that, wheever k L 1 R,elem (, A, µ) is such that g f k, it follows that k + f g, so usig part (i) combied with Propositio 1.3, we see that k + f L 1 +(, A, µ), ad This meas that we have I µ elem (g) = Iµ +(g) I µ +(k + f) = I µ elem (k) + Iµ +(f). I µ elem (k) Iµ elem (g) Iµ +(f), for all k L 1 R,elem (, A, µ), with k g f, ad the by (12), we immediately get I µ +(g f) I µ elem (g) Iµ +(f).

300 LECTURE 32-33 To prove the other iequality, we use the defiitio of the positive itegral, which gives (13) I µ +(g f) = sup { I µ elem (h) : h L1 R,elem(, A, µ), 0 h g f }. Remark that, wheever h L 1 R,elem (, A, µ) is such that 0 h g f, it follows that 0 h + f g, so usig part (i) combied with Propositio 1.3, we see that h + f L 1 +(, A, µ), ad This meas that we have I µ elem (g) = Iµ +(g) I µ +(h + f) = I µ elem (h) + Iµ +(f). I µ elem (h) Iµ elem (g) Iµ +(f), for all h L 1 R,elem (, A, µ), with 0 h g f, ad the by (13), we immediately get I +(g µ f) I µ elem (g) Iµ +(f). We are ow i positio to prove the followig result (compare with Theorem 1.1). Theorem 1.2. Let (, A, µ) be a measure space. (i) If f 1, f 2 L 1 +(, A, µ), the f 1 + f 2 L 1 +(, A, µ), ad oe has the equality I µ +(f 1 + f 2 ) = I µ +(f 1 ) + I µ +(f 2 ). (ii) If f L 1 +(, A, µ), ad α [0, ), the 1 αf L 1 +(, A, µ), ad oe has the equality I µ +(αf) = αi µ +(f). Proof. (i). Fix f 1, f 2 L 1 +(, A, µ). Claim 1: Wheever h A-Elem R () satisfies 0 h f 1 + f 2, it follows that (a) h L 1 R,elem (, A, µ), (b) I µ elem (h) Iµ +(f 1 ) + I +(f µ 2 ). Fix a elemetary fuctio h A-Elem R (), with 0 h f 1 + f 2, ad let us first show that h is elemetary itegrable. Fix some α h() {0}, ad let us prove that µ ( h 1 ({α}) ) <. If we defie the sets A j = f 1 ( ) j [α/2, ] A, j = 1, 2, the the elemetary fuctios h j = α 2 κ A j satisfy 0 h j f j, j = 1, 2. I particular, it follows that h 1, h 2 L 1 R,elem (, A, µ), which forces µ(a 1) < ad µ(a 2 ) <. Notice however that, for every x h 1 ({α}), we have f 1 (x) + f 2 (x) h(x) = α, which forces either f 1 (x) α 2 or f 2(x) α 2. This argumet shows tha we have the iclusio h 1 ({α}) A 1 A 2, so it follows that we ideed have µ ( h 1 ({α}) ) <. Havig show property (a), let us prove property (b). Defie the sets B = {x : h(x) f 1 (x)} ad D = B. It is obvious that B, D A are pairwise disjoit, ad B D =. Defie the elemetary fuctios h = hκ B, ad h = h h = hκ D. O the oe had, we have f 1 κ B h f 1 κ B + f 2 κ B, which gives 0 h f 1 κ B f 2 κ B. 1 Here we use the covetio that whe α = 0, we take αf = 0.

CHAPTER IV: INTEGRATION THEORY 301 By Lemma 1.1.(ii), combied with Propositio 1.4, it follows that h f 1 κ B L 1 +(, A, µ) ad I µ elem (h ) I +(f µ 1 κ B ) = I +(h µ f 1 κ B ) I +(f µ 2 κ B ), so we get (14) I µ elem (h ) I µ +(f 1 κ B ) + I µ +(f 2 κ B ). O the other had, we have which gives h = hκ D f 1 κ D, (15) I µ elem (h ) I µ +(f 1 κ D ) I µ +(f 1 κ D ) + I µ +(f 2 κ D ). ice h = h + h, with h ad h elemetary itegrable, usig Theorem 1.1 combied with Propositio 1.4, by addig the iequalities (14) ad (15) we get I µ elem (h) = Iµ elem (h ) + I µ elem (h ) I µ +(f 1 κ B ) + I µ +(f 2 κ B ) + I µ +(f 1 κ D ) + I µ +(f 2 κ D ) = I µ +(f 1 ) + I µ +(f 2 ), ad the Claim is prove. Claim 1 obviously implies the fact that f 1 + f 2 L 1 +(, A, µ), as well as the iequality I µ +(f 1 + f 2 ) I µ +(f 1 ) + I µ +(f 2 ). To prove the other iequality, we use the followig. Claim 2: For every h A-Elem R (), with 0 h f 1, oe has the iequality I µ elem (h) Iµ +(f 1 + f 2 ) I µ +(f 2 ). Ideed, if h is as above, the h is i L 1 +(, A, µ), hece elemetary itegrable, ad we obviously have 0 h + f 2 f 1 + f 2. The by Lemma 1.1.(i), combied with Propositio 1.3, we get I µ elem (h) + Iµ +(f 2 ) = I µ +(h + f 2 ) I µ +(f 1 + f 2 ), ad the Claim follows. Usig Claim 2, ad the defiitio of the positive itegral, we get I +(f µ 1 ) = sup { I µ elem (h) : h A-Elem } R(), 0 h f 1 I µ +(f 1 + f 2 ) I +(f µ 2 ), which the gives I +(f µ 1 ) + I +(f µ 2 ) I +(f µ 1 + f 2 ). (ii). This part is obvious. Defiitios. Let (, A, µ) be a measure space. Deote the exteded real lie [, ] by R. A measurable fuctio f : R is said to be µ-itegrable, if there exist fuctios f 1, f 2 L 1 +(, A, µ), such that (16) f(x) = f 1 (x) f 2 (x), x [ f1 1 1 ({ }) f2 ({ })]. By Remark 1.3, we kow that the sets f 1 k ({ }), k = 1, 2, have measure zero. The equality (16) gives the the fact f = f 1 f 2, µ-a.e. We defie L 1 R(, A, µ) = { f : R : f µ-itegrable }. We also defie the space of hoest real-valued µ-itegrable fuctios, as L 1 R(, A, µ) = { f L 1 R(, A, µ) : f < f(x) <, x }. Fially, we defie the space of complex-valued µ-itegrable fuctios as L 1 C(, A, µ) = { f : C : Re f, Im f L 1 R(, A, µ) }.

302 LECTURE 32-33 The ext result collects the basic properties of L 1 R. states that it is a almost vector space. Theorem 1.3. Let (, A, µ) be a measure space. Amog other thigs, it (i) For a measurable fuctio f : R, the followig are equivalet: (a) f L 1 R(, A, µ); (b) f L 1 +(, A, µ). (ii) If f, g L 1 R(, A, µ), ad if h : R is a measurable fuctio, such that h(x) = f(x) + g(x), x [ f 1 ({, }) g 1 ({, }) ], the h L 1 R(, A, µ). (iii) If f L 1 R(, A, µ), ad α R, ad if g : R is a measurable fuctio, such that the g L 1 R(, A, µ). (iv) Oe has the iclusio g(x) = αf(x), x f 1 ({, }), L 1 R,elem(, A, µ) L 1 +(, A, µ) L 1 R(, A, µ). Proof. (i). Cosider the fuctios measurable fuctios f ± : [0, ] defied as f + = max{f, 0} ad f = max{ f, 0}. To prove the impliactio (a) (b), assume f L 1 R(, A, µ), which meas there exist f 1, f 2 L 1 +(, A, µ), such that f(x) = f 1 (x) f 2 (x), x [ f1 1 1 ({ }) f2 ({ })]. Notice that we have the iequalities (17) (18) f + f 1, µ-a.e., f f 2, µ-a.e.. Ideed, if we put N = f1 1 1 ({ }) f2 ({ }), the µ(n) = 0, ad if we start with some x N, we either have f 1 (x) f 2 (x) 0, i which case we get f + (x) = f(x) = f 1 (x) f 2 (x) f 1 (x), f (x) = 0 f 2 (x), or we have f 1 (x) f 2 (x), i which case we get I other words, we have f + (x) = 0 f 1 (x), f (x) = f(x) = f 2 (x) f 1 (x) f 2 (x). f + (x) f 1 (x) ad f (x) f 2 (x), x N, so we ideed get (17) ad (18). Usig these iequalities, ad Propositio 1.3, it follows that f ± L 1 +(, A, µ), so by Theorem 1.2, it follows that f + + f = f also belogs to L 1 +(, A, µ).

CHAPTER IV: INTEGRATION THEORY 303 To prove the implicatio (b) (a), start by assumig that f L 1 +(, A, µ). The, sice we obviously have the iequalities 0 f ± f, agai by Propositio 1.3, it follows that f ± L 1 +(, A, µ). ice we obviously have f(x) = f + (x) f (x), x f 1 ({, }), it follows that f ideed belogs to f ± L 1 R(, A, µ). (ii). Assume f, g, ad h are as i (ii). By (i), both fuctios f ad g are i L 1 +(, A, µ). By Theorem 1.2, it follows that the fuctio k = f + g also belogs to L 1 +(, A, µ). Notice that we have the equality so the hypothesis o h reads which the gives f 1 ({, }) g 1 ({, }) = k 1 ({ }), h(x) = f(x) + g(x), x k 1 ({ }), h(x) = f(x) + g(x) f(x) + g(x), x k 1 ({ }). Of course, sice µ ( k 1 ({ }) ) = 0, this gives h k, µ-a.e., ad usig (i) it follows that h ideed belogs to L 1 R(, A, µ). (iii). Assume f, α, ad g are as i (iii). Exactly as above, we have g = α f, µ-a.e., ad the by Theorem 1.2 it follows that g L 1 +(, A, µ). (iv). The iclusio L 1 +(, A, µ) L 1 R(, A, µ) is trivial. To prove the iclusio L 1 R,elem (, A, µ) L1 R(, A, µ), we use parts (ii) ad (iii) to reduce this to the fact that κ A L 1 R(, A, µ), for all A A, with µ(a) <. But this fact is ow obvious, because ay such fuctio belogs to L 1 +(, A, µ) L 1 R(, A, µ). Corollary 1.1. Let (, A, µ) be a measure space, ad let K be oe of the fields R or C. (i) For a K-valued measurable fuctio f : K, the followig are equivalet: (a) f L 1 K (, A, µ); (b) f L 1 +(, A, µ). (ii) Whe equipped with the poitwise additio ad scalar multiplicatio, the space L 1 K (, A, µ) becomes a K-vector space. Proof. (i). The case K = R is immediate from Theorem 1.3 I the case whe K = C, we use the obvious iequalities (19) max { Re f, Im f } f Re f + Im f. If f L 1 C (, A, µ), the both Re f ad Im f belog to L1 R (, A, µ), so by Theorem 1.3, both Re f ad Im f belog to L 1 +(, A, µ). By Theorem 1.2, the fuctio g = Re f + Im f belogs to L 1 +(, A, µ), ad the usig the secod iequality i (19), it follows that f belogs to L 1 +(, A, µ). Coversely, if f belogs to L 1 +(, A, µ), the usig the first iequality i (19), it follows that both Re f ad Im f belog to L 1 +(, A, µ), so by Theorem 1.3, both Re f ad Im f belog to L 1 R (, A, µ), i.e. f belogs to L1 C (, A, µ). (ii). This part is pretty clear. If f, g L 1 K (, A, µ), the by (i) both f ad g belog to L 1 +(, A, µ), ad by Theorem 1.2, the fuctio f + g will

304 LECTURE 32-33 also belog to L 1 +(, A, µ). ice f + g f + g, it follows that f + g itself belogs to L 1 +(, A, µ), so usig (i) agai, it follows that f + g ideed belogs to L 1 K (, A, µ). If f L1 K (, A, µ) ad α K, the f belogs to L1 +(, A, µ), so αf = α f agai belogs to L 1 +(, A, µ), which by (i) gives the fact that αf belogs to L 1 K (, A, µ). Remark 1.5. Let (, A, µ) be a measure space. The oe has the equalities (20) (21) L 1 +(, A, µ) = { f L 1 R(, A, µ) : f() [0, ] } ; L 1 K,elem(, A, µ) = L 1 K(, A, µ) A-Elem K (). Ideed, by Theorem 1.3 that we have the iclusio L 1 +(, A, µ) { f L 1 R(, A, µ) : f() [0, ] }. The iclusio i the other directio follows agai from Theorem 1.3, sice ay fuctio that belogs to the right had side of (20) satisfies f = f. The iclusio L 1 K,elem(, A, µ) L 1 K(, A, µ) A-Elem K () is agai cotaied i Theorem 1.3. To prove the iclusio i the other directio, it suffices to cosider the case K = R. tart with h L 1 R (, A, µ) A-Elem R(), which gives h L 1 +(, A, µ). The fuctio h is obviously i A-Elem R (), so we get h L 1 R,elem (, A, µ). ice L1 R,elem (, A, µ) is a vector space, it will also cotai the fuctio h. The fact that h itself belogs to L 1 R,elem (, A, µ) the follows from Propositio 1.1, combied with the obvious iequalities h h h. The followig result deals with the costructio of the itegral. Theorem 1.4. Let (, A, µ) be a measure space. There exists a uique map I µ R(, A, µ) R, with the followig properties: (i) Wheever f, g, h L 1 R(, A, µ) are such that h(x) = f(x) + g(x), x [ f 1 ({, }) g 1 ({, }) ], it follows that I µ R(h) = I µ R(f) + I µ R(g). (ii) Wheever f, g L 1 R(, A, µ) ad α R are such that g(x) = αf(x), x f 1 ({, }), it follows that I µ R(g) = αi µ R(f). (iii) I µ R(f) = I µ +(f), f L 1 +(, A, µ). Proof. Let us first show the existece. tart with some f L 1 R(, A, µ), ad defie the fuctios f ± : [0, ] by f + = max{f, 0} ad f = max{ f, 0} so that f = f + f, ad f +, f L 1 +(, A, µ). We the defie I µ R(f) = I µ +(f + ) I µ +(f ). It is obvious that I µ R satisfies coditio (iii). The key fact that we eed is cotaied i the followig.

CHAPTER IV: INTEGRATION THEORY 305 Claim: Wheever f L 1 R(, A, µ), ad f 1, f 2 L 1 +(, A, µ) are such that f(x) = f + (x) f (x), x. [ 1 ({ }) f 1 2 ({ })], it follows that we have the equality I µ R(f) = I µ +(f 1 ) I µ +(f 2 ). Ideed, sice we have f = f + f, it follows immediately that we have the equality which gives f 2 (x) + f + (x) = f 1 (x) + f (x), x. [ f1 1 1 ({ }) f2 ({ })], By Theorem 1.2, this immediately gives which the gives f 2 + f + = f 1 + f, µ-a.e. I µ +(f 2 ) + I µ +(f + ) = I µ +(f 1 ) + I µ +(f ), I µ +(f 1 ) I µ +(f 2 ) = I µ +(f + ) I µ +(f ) = I µ R(f). Havig prove the above Claim, let us show ow that I µ R has properties (i) ad (ii). Assume f, g ad h are as i (i). Notice that if we defie h 1 = f + + g + ad h 2 = f + g, the we clearly have 0 h 1 f + g ad 0 h 2 f + g, so h 1 ad h 2 both belg to L 1 +(, A, µ). By Theorem 1.2, we the have (22) I µ +(h 1 ) = I µ +(f + ) + I µ +(g + ) ad I µ +(h 2 ) = I µ +(f ) + I µ +(g ). Notice also that, because of the equalities h 1 1 ({ }) = f 1 ({ } g 1 ({ }) ad h 1 2 ({ }) = f 1 ({ } g 1 ({ }), we have h = h 1 (x) h 2 (x), x. [ h 1 1 ({ }) h 1 2 ({ })], so by the above Claim, combied with (22), we get I µ R(h) = I +(h µ 1 ) I +(h µ 2 ) = I +(f µ + ) + I +(g µ + ) I +(f µ ) I +(g µ ) = I µ R(f) + I µ R(g). Property (ii) is pretty obvious. The uiqueess is also obvious. If we start with a map J : L 1 R(, A, µ) R with properties (i)-(iii), the for every f L 1 R(, A, µ), we must have J(f) = J(f + ) J(f ) = I µ +(f + ) I µ +(f ). (For the secod equality we use coditio (iii), combied with the fact that both f + ad f belog to L 1 +(, A, µ).) Corollary 1.2. Let (, A, µ) be a measure space, ad let K be either R or C. There exists a uique liear map I µ K (, A, µ) K, such that I µ K (f) = Iµ +(f), f L 1 +(, A, µ) L 1 K(, A, µ). Proof. Let us start with the case K = R. I this case, we have the iclusio L 1 R(, A, µ) L 1 R(, A, µ), so we ca defie I µ R as the restrictio of Iµ R to L 1 R (, A, µ). The uiqueess is agai clear, because of the equalities I µ R (f) = Iµ R (f + ) I µ R (f ) = I µ +(f + ) I µ +(f ).

306 LECTURE 32-33 I the case K = C, we defie I µ C (f) = Iµ R (Re f) + iiµ R (Im f). The liearity is obvious. The uiqueess is also clear, because the restrictio of I µ C to L 1 R (, A, µ) must agree with Iµ R. Defiitio. Let (, A, µ) be a measure space, ad let K be oe of the symbols R, R, or C. For ay f L 1 K (, A, µ), the umber Iµ K (f) (which is real, if K = R or R, ad is complex if K = C) will be deoted by f dµ, ad is called the µ-itegral of f. This otatio is uambiguous, because if f L 1 R (, A, µ), the we have Iµ R(f) = I µ C (f) = Iµ R (f). Remark 1.6. If (, A, µ) is a measure space, the for every A A, with µ(a) <, usig the above Corollary, we get κ A dµ = I +(κ µ A ) = µ(a). By liearity, if K = R, C, oe has the the equality h dµ = I µ elem (h), h L1 K,elem(, A, µ). To make the expositio a bit easier, it will adopt the followig. Covetio. If (, A, µ) is a measure space, ad if f : [0, ] is a measurable fuctio, which does ot belog to L 1 +(, A, µ), the we defie f dµ =. Remarks 1.7. Let (, A, µ) be a measure space. A. Usig the above covetio, whe h A-Elem R () is a fuctio with h() [0, ), the coditio h dµ = is equivalet to the existece of some α h() {0}, with µ ( h 1 ({α}) ) =. B. Usig the above covetio, for every measurable fuctio f : [0, ], oe has the equality { } f dµ = sup h dµ : h A-Elem R (), 0 h f. C. If f, g : [0, ] are measurable, the oe has the equalities (f + g) dµ = f dµ + g dµ, (αf) dµ = α f dµ, α [0, ), eve i the case whe some term is ifiite. (We use the covetio + t =, t [0, ], as well as α =, α (0, ), ad 0 = 0.) D. If f, g : [0, ] are measurable, ad f g, µ-a.e., the (usig B) oe has the iequality f dµ g dµ, eve if oe side (or both) is ifiite.

CHAPTER IV: INTEGRATION THEORY 307 E. Let K be oe of the symbols R, R, or C, ad let f : K be a measurable fuctio. The the fuctio f : [0, ] is measurable. Usig the above covetio, the coditio that f belogs to L 1 K (, A, µ) is equivalet to the iequality f dµ <. I the remaider of this sectio we discuss several properties of itegratio that are aaloguous to those of the positive/elemetary itegratio. We begi with a useful estimate Propositio 1.6. Let (, A, µ) be a measure space, ad let K be oe of the symbols R, R, or C. For every fuctio f L 1 K (, A, µ), oe has the iequality f dµ f dµ. Proof. Let us first examie the case whe K = R, R. I this case we defie f + = max{f, 0} ad f = max{ f, 0}, so we have f = f + f, as well as f = f + + f. Usig the iequalities I +(f µ ± ) 0, we have f dµ = I +(f µ + ) I +(f µ ) I +(f µ + ) + I +(f µ ) = f dµ; f dµ = I +(f µ + ) + I +(f µ ) I +(f µ + ) + I +(f µ ) = f dµ. I other words, we have ± f dµ f dµ, ad the desired iequality immediately follows. Let us cosider ow the case K = C. Cosider the umber λ = f dµ, ad let us choose some complex umber α C, with α = 1, ad αλ = λ. (If λ 0, we take α = λ 1 λ ; otherwise we take α = 1.) Cosider the measurable fuctio g = αf. Notice ow that ( ) ( ) Re g dµ + i Im g dµ = g dµ = α f dµ = αλ = λ 0, so i particular we get λ = Re g dµ. If we apply the real case, we the get (23) λ Re g dµ. Notice ow that, we have the iequality Re g g = f, which gives I +( µ ) Re g I µ ( f ) = f dµ, so the iequality (23) immediately gives f dµ = λ f dµ. Corollary 1.3. Let (, A, µ) be a measure space, ad let K be oe of the symbols R, R, or C. If a measurable fuctio f : K satisfies f = 0, µ-a.e, the f L 1 K (, A, µ), ad f dµ = 0.

308 LECTURE 32-33 Proof. Cosider the measurable fuctio f : [0, ], which satisfies f = 0, µ-a.e. By Propositio 1.3, it follows that f L 1 +(, A, µ), hece f L 1 K (, A, µ), ad f dµ = 0. Of course, the last equality forces f dµ = 0. Corollary 1.4. Let K be either R or C. If (, A, µ) is a fiite measure space, the every bouded measurable fuctio f : K belogs to L 1 K (, A, µ), ad satisfies f dµ µ() sup f(x). x Proof. If we put β = sup x f(x), the we clearly have f βκ, which shows that f L 1 +(, A, µ), ad also gives f dµ βκ dµ = µ() β. The everythig follows from Propositio 1.6. Commet. The itroductio of the space L 1 R(, A, µ), of exteded real-valued µ-itegrable fuctios, is useful mostly for techical reasos. I effect, everythig ca be reduced to the case whe oly hoest real-valued fuctios are ivolved. The followig result clarifies this matter. Lemma 1.2. Let (, A, µ) be a measure space, ad let f : R be a measurable fuctio. The followig ar equivalet (i) f L 1 R(, A, µ); (ii) there exists g L 1 R (, A, µ), such that g = f, µ-a.e. Moreover, if f satisfies these equivalet coditios, the ay fuctio g, satisfyig (ii), also has the property f dµ = g dµ. Proof. Cosider the set F = {x : < f(x) < }, which belogs to A. We obviously have the equality F = f 1 ({ }). (i) (ii). Assume f L 1 R(, A, µ), which meas that f L 1 +(, A, µ). I particular, we get µ( F ) = 0. Defie the measurable fuctio g = fκ F. O the oe had, it is clear, by costructio, that we have < g(x) <, x. O the other had, it is clear that g F = f F, so usig µ( F ) = 0, we get the fact that f = g, µ-a.e. Fially, the iequality 0 g f, combied with Propositio 1.3, gives g L 1 +(, A, µ), so g ideed belogs to L 1 R (, A, µ). (ii) (i). uppose there exists g L 1 R (, A, µ), with f = g, µ-a.e., ad let us prove that (a) f L 1 R(, A, µ); (b) f dµ = g dµ. The first assertio is clear, because by Propositio 1.3, the equality f = g, µ-a.e., combied with g L 1 +(, A, µ), forces f L 1 +(, A, µ), i.e. f L 1 R(, A, µ). To prove (b), we cosider the differece h = f g, which is a measurable fuctio h : R, ad satisfies h = 0, µ-a.e. By Corollary 1.3, we kow that h L 1 R(, A, µ), ad h dµ = 0. By Theorem 1.3, we get f dµ = g dµ + h dµ = g dµ. The followig result is a aalogue of Propositio 1.1 (see also Propositio 1.3). x

CHAPTER IV: INTEGRATION THEORY 309 Propositio 1.7. Let (, A, µ), ad let f 1, f 2 L 1 R(, A, µ). uppose f : R is a measurable fuctio, such that f 1 f f 2, µ-a.e. The f L 1 R(, A, µ), ad oe has the iequality f 1 dµ f dµ f 2 dµ. Proof. First of all, sice f 1 ad f 2 belog to L 1 R(, A, µ), it follows that f 1 ad f 2, hece also f 1 + f 2, belog tp L 1 +(, A, µ). ecod, sice we have f 2 f 2 f 1 + f 2 ad f 1 f 1 f 1 f 2 (everyhwere!), the iequalities f 1 f f 2, µ-a.e., give f 1 f 2 f f 1 + f 2, µ-a.e., which reads f f 1 + f 2, µ-a.e. ice f 1 + f 2 L 1 +(, A, µ), by Propositio 1.3., we get f L 1 +(, A, µ), so f ideed belogs to L 1 R(, A, µ). To prove the iequality for itegrals, we use Lemma 1.2, to fid fuctios g 1, g 2, g L 1 R (, A, µ), such that f 1 = g 1, µ-a.e., f 2 = g 2, µ-a.e., ad f = g, µ-a.e. Lemma 1.2 also gives the equalities f 1 dµ = g 1 dµ, f 2 dµ = g 2 dµ, ad f dµ = g dµ, so what we eed to prove are the iequalities (24) g 1 dµ g dµ g 2 dµ. Of course, we have g 1 g g 2, µ-a.e. To prove the first iequality i (24), we cosider the fuctio h = g g 1 L 1 R (, A, µ), ad we prove that h dµ 0. But this is quite clear, because we have h 0, µ-a.e., which meas that h = h, µ-a.e., so by Lemma 1.2, we get h dµ = h dµ = I +( h ) µ 0. The secod iequality i (24) is prove the exact same way. The ext result is a aalogue of Propositio 1.4. Propositio 1.8. Let (, A, µ) be a measure space, ad let K be oe of the symbols R, R, or C. uppose (A k ) A is a pairwise disjoit fiite sequece, with A 1 A =. For a measurable fuctio f : K, the followig are equivalet. (i) f L 1 K (, A, µ); (ii) fκ Ak L 1 K (, A, µ), k = 1,...,. Moreover, if f satisfies these equivalet coditios, oe has (25) f dµ = fκ Ak dµ. Proof. It is fairly obvious that fκ Ak = f κ Ak. The the equivalece (i) (ii) follows from Propositio 1.4 applied to the fuctio f : [0, ]. I the cases whe K = R, C, the equality (25) follows immediately from liearity, ad the obvious equality f = fκ A k. I the case whe K = R, we take g L 1 R (, A, µ), such that f = g, µ-a.e. The we obviously have fκ A k = gκ Ak,

310 LECTURE 32-33 µ-a.e., for all k = 1,...,, ad the equality (25) follows from the correspodig equality that holds for g. Remark 1.8. The equality (25) also holds for arbitrary measurable fuctios f : [0, ], if we use the covetio that preceded Remarks 1.7. This is a immediate cosequece of Propositio 1.4, because the left had side is ifiite, if a oly if oe of the terms i the right had side is ifiite. The followig is a obvious extesio of Remark 1.4. Remark 1.9. Let K be oe of the symbols R, R, or C, let (, A, µ) be a measure space. For a set A, ad a measurable fuctio f : K, oe has the equivalece fκ L 1 K(, A, µ) f L 1 K(, A, µ ). If this is the case, oe has the equality (26) fκ dµ = f dµ. The above equality also holds for arbitrary measurable fuctios f : [0, ], agai usig the covetio that preceded Remarks 1.7. Notatio. The above remark states that, whever the quatities i (26) are defied, they are equal. (This oly requires the fact that f is measurable, ad either f LK( 1, A, µ ), or f() [0, ].) I this case, the equal quatities i (26) will be simply deoted by f dµ. Exercise 1. Let I be some o-empty set. Cosider the σ-algebra P(I), of all subsets of I, equipped with the coutig measure { Card A if A is fiite µ(a) = if A is ifiite Prove that L 1 R(I, P(I), µ) = L 1 R (I, P(I), µ). Prove that, if K is either R or C, the L 1 K(I, P(I), µ) = l 1 K(I), the Baach space discussed i II.2 ad II.3. Exercise 2. There is a istace whe the etire theory developped here is essetially vacuous. Let be a o-empty set, ad let A be a σ-algebra o. For a measure µ o A, prove that the followig are equivalet (i) L 1 +(, A, µ) = { f : [0, ] : f measurable, ad f = 0, µ-a.e. } ; (ii) for every A A, oe has µ(a) {0, }. A measure space (, A, µ), with property (ii), is said to be degeerate. Exercise 3. Let (, A, µ) be a measure space, ad let f : [0, ] be a measurable fuctio, with f dµ = 0. Prove that f = 0, µ-a.e. Hit: Defie the measurable sets A = {x : f(x) 1 }, ad aalyze the relatioship betwee f ad κ A.