Paper 4, Section II, J

Probability and Measure | Part II, 2012

State and prove Fatou's lemma. [You may use the monotone convergence theorem.]

For (E,E,μ)(E, \mathcal{E}, \mu) a measure space, define L1:=L1(E,E,μ)L^{1}:=L^{1}(E, \mathcal{E}, \mu) to be the vector space of μ\mu integrable functions on EE, where functions equal almost everywhere are identified. Prove that L1L^{1} is complete for the norm ∥⋅∥1\|\cdot\|_{1},

∥f∥1:=∫E∣f∣dμ,f∈L1.\|f\|_{1}:=\int_{E}|f| d \mu, \quad f \in L^{1} .

[You may assume that ∥⋅∥1\|\cdot\|_{1} indeed defines a norm on L1L^{1}.] Give an example of a measure space (E,E,μ)(E, \mathcal{E}, \mu) and of a sequence fn∈L1f_{n} \in L^{1} that converges to ff almost everywhere such that f∉L1f \notin L^{1}.

Now let

D:={f∈L1:f⩾0 almost everywhere ,∫Efdμ=1}. \mathcal{D}:=\left\{f \in L^{1}: f \geqslant 0 \text { almost everywhere }, \int_{E} f d \mu=1\right\} \text {. }

If a sequence fn∈Df_{n} \in \mathcal{D} converges to ff in L1L^{1}, does it follow that f∈D?f \in \mathcal{D} ? If fn∈Df_{n} \in \mathcal{D} converges to ff almost everywhere, does it follow that f∈Df \in \mathcal{D} ? Justify your answers.

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