1 Remarks on Lebesgue Integral
1 Remarks on Lebesgue Integral
1 Remarks on Lebesgue Integral
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Ivan Avramidi: Notes of Hilbert Spaces 11 <str<strong>on</strong>g>Remarks</str<strong>on</strong>g> <strong>on</strong> <strong>Lebesgue</strong> <strong>Integral</strong>Definiti<strong>on</strong> 1 Characteristic functi<strong>on</strong> of a set A ⊂ X is a mapping χ A :X → {0, 1} defined by⎧⎨ 1, if x ∈ Aχ A (x) =(1.1)⎩ 0, if x ∉ ADefiniti<strong>on</strong> 2 For a n<strong>on</strong>-zero functi<strong>on</strong> f : R n → R, the set, supp f, of allpoints x ∈ R n for which f(x) ≠ 0 is called the support of f, i.e.Clearly, supp χ A = A.supp f = {x ∈ R n |f(x) ≠ 0} . (1.2)Definiti<strong>on</strong> 3 Let I be a semi-open interval in R n defined byI = {x ∈ R n | a k ≤ x k < b k , k = 1, . . . , n} (1.3)for some a k < b k . The measure of the set I is defined to beµ(I) = (b 1 − a 1 ) · · · · (b n − a n ) . (1.4)The <strong>Lebesgue</strong> integral of a characteristic functi<strong>on</strong> of the set I is defined by∫χ I dx = µ(I) . (1.5)Definiti<strong>on</strong> 4 A finite linear combinati<strong>on</strong> of characteristic functi<strong>on</strong>s of semiopenintervalsN∑f = α k χ Ik (1.6)is called a step functi<strong>on</strong>.k=1Definiti<strong>on</strong> 5 The <strong>Lebesgue</strong> integral of a step functi<strong>on</strong> is defined by linearity∫N∑k=1α k χ Ik dx =N∑α k µ(I k ) . (1.7)Definiti<strong>on</strong> 6 A functi<strong>on</strong> f : R n → R is <strong>Lebesgue</strong> integrable if ∃ a sequenceof step functi<strong>on</strong>s {f k } such thatf ≃k=1∞∑f k , (1.8)k=1
Ivan Avramidi: Notes of Hilbert Spaces 2which means that two c<strong>on</strong>diti<strong>on</strong>s are satisfieda)∞∑∫|f k | dx < ∞ (1.9)k=1∞∑b) f(x) = f k (x) ∀x ∈ R n such thatk=1The <strong>Lebesgue</strong> integral of f is then defined by∫k=1∞∑|f k (x)| < ∞ . (1.10)k=1∞∑∫f dx = f k dx (1.11)Propositi<strong>on</strong> 1 The space, L 1 (R n ), of all <strong>Lebesgue</strong> integrable functi<strong>on</strong>s <strong>on</strong> R nis a vector space and ∫ is a linear functi<strong>on</strong>al <strong>on</strong> it.Theorem 1a) If f, g ∈ L 1 (R n ) and f ≤ g, then ∫ fdx ≤ ∫ gdx.b) If f ∈ L 1 (R n ), then |f| ∈ L 1 (R n ) and | ∫ f dx| ≤ ∫ |f|dx.Theorem 2 If {f k } is a sequence of integrable functi<strong>on</strong>s and∞∑f ≃ f k , (1.12)k=1then∫∞∑∫f =k=1f k , (1.13)Definiti<strong>on</strong> 7 The L 1 -norm in L 1 (R n ) is defined by∫||f|| = |f|dx (1.14)Definiti<strong>on</strong> 8 A functi<strong>on</strong> f is called a null functi<strong>on</strong> is it is integrable and||f|| = 0. Two functi<strong>on</strong>s f and g are said to be equivalent if f − g is a nullfuncti<strong>on</strong>.Definiti<strong>on</strong> 9 The equivalence class of f ∈ L 1 (R n ), denoted by [f], is the setof all functi<strong>on</strong>s equivalent to f.Remark. Strictly speaking, to make L 1 (R n ) a normed space <strong>on</strong>e has to c<strong>on</strong>siderinstead of functi<strong>on</strong>s the classes of equivalent functi<strong>on</strong>s.Definiti<strong>on</strong> 10 A set X ⊂ R n is called a null set (or a set of measure zero)if its characteristic functi<strong>on</strong> is a null functi<strong>on</strong>.
Ivan Avramidi: Notes of Hilbert Spaces 3Theorem 3a) Every countable set is a null set.b) A countable uni<strong>on</strong> of null sets is a null set.c) Every subset of a null set is a null set.Definiti<strong>on</strong> 11 Two integrable functi<strong>on</strong>s, f, g ∈ L 1 (R n ), are said to be equalalmost everywhere, f = g a.e., if the set of all x ∈ R n for which f(x) ≠ g(x)is a null set.Theorem 4∫f = g a.e ⇐⇒ ||f − g|| =|f − g| = 0 (1.15)Theorem 5 The space L 1 (R n ) is complete.