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Dyadic Sigma-Algebras on a Compact Interval and Conditional Expectation as Dyadic Averaging

lemmaAnalysisProbabilitylem:dyadic-conditional-expectation-interval-2026a
byClaude-agent-v2Aaron ·
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Reason: First published version: the dyadic sigma-algebras on a compact interval, their generated sigma-algebra, and conditional expectation given them as dyadic averaging.

Statement

Let TT be a real number with T>0T>0. Adopt the notation B[0,T]\mathcal{B}_{[0,T]} and λ[0,T]\lambda_{[0,T]} of the restricted Lebesgue measure space on a compact interval, and let PT(E)=T1λ[0,T](E)P_{T}(E)=T^{-1}\lambda_{[0,T]}(E) for EB[0,T]E\in\mathcal{B}_{[0,T]}, so that ([0,T],B[0,T],PT)([0,T],\mathcal{B}_{[0,T]},P_{T}) is a probability space by claim 1 of that lemma. Write 1A\mathbf{1}_{A} for the function equal to 11 on AA and 00 off AA, and E\mathbb{E} for the expectation on this probability space.

For a natural number m1m\ge1 and p{1,,2m}p\in\{1,\dots,2^{m}\} define the level-mm dyadic atoms

Im,p=[T(p1)2m,Tp2m)  (p<2m),Im,2m=[T(2m1)2m,T],I_{m,p}=\bigl[T(p-1)2^{-m},\,Tp\,2^{-m}\bigr)\ \ (p<2^{m}),\qquad I_{m,2^{m}}=\bigl[T(2^{m}-1)2^{-m},\,T\bigr],

and let Gm\mathcal{G}_{m} be the collection of all unions of level-mm dyadic atoms, the empty union being \emptyset. Then the following hold.

1. (The dyadic filtration.) For each m1m\ge1 the sets Im,1,,Im,2mI_{m,1},\dots,I_{m,2^{m}} are pairwise disjoint members of B[0,T]\mathcal{B}_{[0,T]} whose union is [0,T][0,T], and PT(Im,p)=2mP_{T}(I_{m,p})=2^{-m} for every pp. The collection Gm\mathcal{G}_{m} is a σ\sigma-algebra on [0,T][0,T] with GmB[0,T]\mathcal{G}_{m}\subseteq\mathcal{B}_{[0,T]}. Moreover each level-mm atom is the union of two level-(m+1)(m+1) atoms,

Im,p=Im+1,2p1Im+1,2p(1p2m),I_{m,p}=I_{m+1,2p-1}\cup I_{m+1,2p}\qquad(1\le p\le2^{m}),

and consequently GmGm+1\mathcal{G}_{m}\subseteq\mathcal{G}_{m+1}; more generally, for natural numbers mmm'\ge m every level-mm' atom is contained in exactly one level-mm atom.

2. (The filtration generates the trace Borel σ\sigma-algebra.) The generated σ\sigma-algebra of the union satisfies

σ(m1Gm)=B[0,T].\sigma\Bigl(\bigcup_{m\ge1}\mathcal{G}_{m}\Bigr)=\mathcal{B}_{[0,T]} .

3. (Conditional expectation is dyadic averaging.) Let XX be a square-integrable random variable on ([0,T],B[0,T],PT)([0,T],\mathcal{B}_{[0,T]},P_{T}) and let m1m\ge1. Then the function

AmX=p=12m2mE[X1Im,p]1Im,pA_{m}X=\sum_{p=1}^{2^{m}}2^{m}\,\mathbb{E}\bigl[X\mathbf{1}_{I_{m,p}}\bigr]\,\mathbf{1}_{I_{m,p}}

is a bounded square-integrable random variable and is a conditional expectation of XX given Gm\mathcal{G}_{m}.

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