Paper 2, Section II, J

Probability and Measure | Part II, 2015

(a) Let (E,E,μ)(E, \mathcal{E}, \mu) be a measure space, and let 1⩽p<∞1 \leqslant p<\infty. What does it mean to say that ff belongs to Lp(E,E,μ)L^{p}(E, \mathcal{E}, \mu) ?

(b) State Hölder's inequality.

(c) Consider the measure space of the unit interval endowed with Lebesgue measure. Suppose f∈L2(0,1)f \in L^{2}(0,1) and let 0<α<1/20<\alpha<1 / 2.

(i) Show that for all x∈Rx \in \mathbb{R},

∫01∣f(y)∣∣x−y∣−αdy<∞\int_{0}^{1}|f(y)||x-y|^{-\alpha} d y<\infty

(ii) For x∈Rx \in \mathbb{R}, define

g(x)=∫01f(y)∣x−y∣−αdyg(x)=\int_{0}^{1} f(y)|x-y|^{-\alpha} d y

Show that for x∈Rx \in \mathbb{R} fixed, the function gg satisfies

∣g(x+h)−g(x)∣⩽∥f∥2⋅(I(h))1/2,|g(x+h)-g(x)| \leqslant\|f\|_{2} \cdot(I(h))^{1 / 2},

where

I(h)=∫01(∣x+h−y∣−α−∣x−y∣−α)2dy.I(h)=\int_{0}^{1}\left(|x+h-y|^{-\alpha}-|x-y|^{-\alpha}\right)^{2} d y .

(iii) Prove that gg is a continuous function. [Hint: You may find it helpful to split the integral defining I(h)I(h) into several parts.]

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