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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-12
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Square minus predictable quadratic variation is a martingale

Statement

Assume AC. For every real square-integrable martingale M, the process Zn=Mn2−⟨M⟩n is a martingale with Z0=M02. Also Wn=(Mn−M0)2−⟨M⟩n is a martingale starting at zero. The initial variable M0 may be random and need not vanish.

Facts & Assumptions

Given: The hypotheses and conventions in the statement.

[F1]

The bracket is integrable predictable and its increment is the conditional squared martingale increment. Predictable quadratic variation in discrete time.

[F2]

Martingale increments have zero past conditional expectation. Martingales and martingale differences correspond.

[F3]

Square-integrable variables have an integrable product by Cauchy–Schwarz. Cauchy-Schwarz for random variables.

[F4]

A finite measurable factor may be taken out when its product with the integrable input is integrable. Taking out what is known.

[F5]

Conditional expectation is linear, order preserving and expectation preserving. Basic algebra and order properties of conditional expectation.

[F6]

An integrable variable measurable for the conditioning sigma-algebra conditions to itself. Conditioning a known variable and an independent variable.

[F7]

Finite linear combinations remain integrable and their integrals are linear. The Lebesgue integral is linear on L1(μ).

[F9]

AC supplies the inherited conditional-expectation existence and any stated choice of versions. The Axiom of Choice.

Proof

technique · direct
1.1givenF2F3F4

Put Dn=Mn−Mn−1 for n≥1. It is in L2 by Dn2≤2Mn2+2Mn−12, and its conditional mean given Fn−1 is zero. Cauchy–Schwarz gives E∣Mn−1Dn∣≤(EMn−12)1/2(EDn2)1/2<∞. The factor Mn−1 is finite and known at time n−1, so taking-out is legitimate and gives E[Mn−1Dn∣Fn−1]=Mn−1E[Dn∣Fn−1]=0.

2.1F1F5F6F7F8step 1.1construct

For the finite integral and conditional linearity used here, augment every finite disjoint nonnegative-simple display by its zero-coefficient complement. Intersections of two augmented displays partition the space and carry equal coefficients on nonempty cells, so finite additivity and 0⋅(+∞)=0 prove representation independence. Common refinements give simple addition and monotonicity; scalar zero is direct and positive scalars are termwise. Supremum over simple minorants, increasing simple approximation and the sets {fj≥cs} for 0<c<1 give monotone convergence and nonnegative additivity. Positive/negative and real/imaginary decompositions give finite L1 linearity; substituting these facts at the base validates the event-integral construction and algebra of the cited conditional expectations. The square and bracket are adapted and integrable, hence so is Z. Expand Mn2−Mn−12=2Mn−1Dn+Dn2. Every term is integrable. Conditional linearity and step 1.1 give E[Mn2−Mn−12∣Fn−1]=E[Dn2∣Fn−1]=⟨M⟩n−⟨M⟩n−1. The last difference is known at time n−1. Subtracting it and conditioning the known Zn−1 proves E[Zn∣Fn−1]=Zn−1. The initial bracket is zero, so Z0=M02.

3.1givenF1F5F6F7F8F9step 2.1∎

Set Nn=Mn−M0. Since M0 is F0-measurable, it is known for every Fn. Linearity gives E[Nn+1∣Fn]=Mn−M0=Nn. Also Nn2≤2Mn2+2M02 is integrable, so N is a square-integrable martingale with N0=0. Its increments equal Dn, hence ⟨N⟩=⟨M⟩ as classes. Apply the already proved step 2.1 to N to conclude that W=N2−⟨M⟩ is a martingale with W0=0. AC is inherited from CE and bracket version construction; no unproved assertion about the product M0Mn is used.

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