L9.1.1: Compact one-parameter integral derivative with uniform-continuity/MVT proof and explicit integral-error bound.
Theorem9.1.1.Leibniz integral rule.
Suppose f:[a,b]×[c,d]→R is a continuous function, such that ∂y∂f exists for all (x,y)∈[a,b]×[c,d] and is continuous. Define g:[c,d]→R by
g(y):=∫abf(x,y)dx.
Then g is continuously differentiable and
g′(y)=∫ab∂y∂f(x,y)dx.
Proof.
Fix y∈[c,d] and let ϵ>0 be given. As ∂y∂f is continuous on [a,b]×[c,d] it is uniformly continuous. In particular, there exists δ>0 such that whenever y1∈[c,d] with ∣y1−y∣<δ and all x∈[a,b], we have
∂y∂f(x,y1)−∂y∂f(x,y)<ϵ.
Suppose h is such that y+h∈[c,d] and ∣h∣<δ. Fix x for a moment and apply the mean value theorem to find a y1 between y and y+h such that
We defined uniform convergence for sequences although the idea is the same. You may replace h with a sequence of nonzero numbers {hn}n=1∞ converging to 0 such that y+hn∈[c,d] and let n→∞.