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CorollaryStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10
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Conditional cauchy schwarz inequality

Statement

Assume AC. For real X,YL2(P), E[XYG]2E[X2G]E[Y2G] almost surely.

Facts & Assumptions

Given: AC, real X,YL2(P) and a sub-sigma-algebra G.

[F1]

XY is integrable because X and Y are square integrable. (Cauchy-Schwarz inequality for L2)

[F2]

Integrable inputs have finite conditional versions under AC. (Conditional expectation as an ae class)

[F3]

Conditional positivity and linearity hold. (Basic algebra and order properties of conditional expectation)

[F4]

Rationals approximate every real parameter. (The rationals embed densely in the reals)

[F5]

There are only countably many rational parameters. (Q is countably infinite)

Proof

technique · direct
1.1

By [F1], XY is integrable. Fix finite versions a=E[X2G], b=E[XYG], and c=E[Y2G]. Positivity gives a,c0 almost surely. For every rational t, (X+tY)2 is integrable and nonnegative, and linearity and positivity give a+2tb+t2c0 almost surely. By [F5] one null union removes every rational-parameter exception.

F1F2F3F5
2.1

At a remaining point, the polynomial q(t)=a+2tb+t2c is continuous: q(t)q(s)=(ts)(2b+c(t+s)), which tends to zero as ts. If q were negative at any real s, it would stay negative on an interval around s, containing a rational by [F4], contrary to step 1.1. Thus q is nonnegative for all real t.

step 1.1F4
3.1

If c=0 and b0, the choice t=(a+1)/(2b) gives q(t)=1, impossible; hence b=0 and b2ac. If c>0, put t=b/c to get 0ab2/c, so again b2ac. The cases cover every remaining point and prove the conditional inequality.

step 2.1

Source notes

Durrett §4.1.2, Theorem 4.1.9(a)–(b), printed pp.210–211, supplies positivity and linearity. The conditional quadratic argument is written here in full, using rational parameters and explicit zero-coefficient handling.

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Sources