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Source: http://www.math.cuhk.edu.hk/~mat2060/mat2060b/Notes/notes3.pdf 2005-06 Second Term MAT2060B 1 Supplementary Notes 3 Interchange of Differentiation and Integration The theme of this course is about various limiting processes. We have learnt the limits of sequences of numbers and functions, continuity of functions, limits of difference quotients (derivatives), and even integrals are limits of Riemann sums. As often encountered in applications, exchangeability of limiting processes is an important topic. For example, we learnt d xf = x df ,f(a)=0, dx a a dx whenever df is integrable; also dx lim d f (x)= d lim f (x), n→∞dx n dx n→∞ n if {f } and {f′} converge uniformly. n n Here we consider the following situation. Let f(x,y) be a function dened in [a,b] × [c,d]and b φ(y)= f(x,y)dx. a It is natural to ask if continuity and differentiability are preserved under integration. Theorem 1. Let f(x,y) be continuous in [a,b] × [c,d]. Then φ dened above is a continuous function on [c,d]. Proof. Since f is continuous in [a,b]×[c,d], it is bounded and uniformly continuous. In other words, for any ε>0, ∃δ such that ′ b ′ |φ(y) −φ(y )|≤ a |f(x,y)−f(x,y )|dx <ε(b−a) ∀y,|y −y′| <δ, which shows that φ is uniformly continuous on [c,d]. 2005-06 Second Term MAT2060B 2 Theorem 2. Let f and ∂f be continuous in [a,b]×[c,d]. Then φ is differentiable ∂y and d b ∂f dyφ(y)= ∂y(x,y)dx a holds. Proof. Fix y ∈ (c,d), y + h ∈ (c,d) for small h ∈ R, φ(y +h)−φ(y) = 1 b(f(x,y +h)−f(x,y))dx h h a = b ∂f(x,z)dx a ∂y where z is a point between y and y +h which depends on x . In any case, φ(y +h)−φ(y) b ∂f b∂f ∂f − (x,y)dx ≤ (x,z)− (x,y) dx. h a ∂y a ∂y ∂y Since ∂f is uniformly continuous on [a,b] × [c,d], for ε>0, ∃δ such that ∂y ∂f ∂f ′ ′ (x,y ) − (x,y) <ε, ∀|y −y| <δand ∀x. ∂y ∂y Taking h ≤ δ,weget φ(y +h)−φ(y) b ∂f − (x,y)dx <ε, h a ∂y whence the condition follows. When y = c or d, the same proof works with some trivial changes. In many applications, the rectangle is replaced by an unbounded region. When this happens, we need to consider improper integrals. As a typical case, lets assume f is dened in [a,∞)×[c,d] and set ∞ φ(y)= f(x,y)dx. a 2005-06 Second Term MAT2060B 3 The function φ(y) makes sense if the improper integral ∞f(x)dx is well-dened a for each y. Recall that this means lim bf(x,y)dx b→∞ a exists. We introduce the following denition: The improper integral ∞f(x,y)dx a is uniformly convergent if ∀ε, ∃b0 > 0 such that ′ b f(x,y)dx <ε, ∀b′,b≥ b . b ∞ 0 Notice that in particular, this implies that f(x,y)dx exists for every y. a Uniform convergence of an improper integral may be studied parallel to the uniform convergence of innite series. In fact, if we let n φ (y)= f(x,y)dx, n a it is not hard to see that the improper integral converges uniformly iff the innite series ∞ φ (y)convergesuniformly when f(x,y) ≥ 0. When f changes sign, the n=n n 0 equivalence does not always hold. Nevertheless, techniques in establishing uniform convergence can be borrowed and applied to the present situation. As a sample, we have the following version of M-test, whose proof is omitted. Theorem3. Supposethat|f(x,y)|≤h(x)andhhasanimproperintegralon[a,∞). Then ∞f(x,y)dx converges uniformly and absolutely. a Theorem 4. Let f be continuous in [a,∞) × [c,d]. Then φ is continuous in [c,d] if the improper integral ∞f(x,y)dx converges uniformly. a Proof. By Theorem 1, the function n φ (y)= f(x,y)dx n a 2005-06 Second Term MAT2060B 4 is continuous on [c,d]foreveryn. By assumption, ∀ε>0, ∃b0 such that m |φ (y) −φ (y)| = f(x,y)dx <ε, ∀n,m≥b . n m n 0 Hence {φ } is a Cauchy sequence in sup-norm. Since any Cauchy sequence in sup- n norm converges, φ converges uniformly to some continuous function ψ.Asφ n n converges pointwisely to φ, φ and ψ coincide, so φ is continuous. Theorem5. Let f and ∂f be continuous in [a,∞)×[c,d]. Suppose that the improper ∂y integrals ∞f and ∞∂f are uniformly convergent. Then φ is differentiable, and a a ∂y dφ ∞ ∂f dy(x)= ∂y(x,y)dy a holds. Proof. Applying the mean-value theorem to φ −φ , n m ′ ′ φ (y)−φ (y)−(φ (y )−φ (y )) = (y−y )(φ (z)−φ (z)) n m n 0 m 0 0 n m for some z between y and y0. According to Theorem 2 and the uniform convergence of ∞ ∂f, a ∂y n ∂f ′ ′ (x,y)dy → 0 |φ (z) −φ (z)| = n m ∂y m as n,m →∞. This shows that ∀ε>0, ∃b such that 0 φ (y)−φ (y ) φ (y)−φ(y ) n n 0 − m 0 <ε, n,m≥b . y −y0 y −y0 0 Letting m →∞, φ (y)−φ (y ) φ(y)−φ(y ) n n 0 − 0 ≤ ε, ∀n≥b . y −y0 y −y0 0 By triangle inequality, φ(y)−φ(y ) ∞ ∂f 0 − (x,y)dx y −y0 a ∂y n φ(y)−φ(y ) φ (y)−φ (y ) φ (y)−φ (y ) ∂f ≤ 0 − n n 0 + n n 0 − (x,y)dx y −y0 y −y0 y −y0 a ∂y + n∂f(x,y)dx− ∞∂f(x,y)dx. a ∂y a ∂y
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