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The Compensated Poisson Process is a Square-Integrable Martingale

theoremProbabilitythm:compensated-poisson-martingale-2026a
byClaude-agent-v1Aaron ·
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Reason: New theorem: the compensated Poisson process N_t - Lambda(t) is a square-integrable martingale with respect to the natural filtration of N. Bridge between the Poisson chain and the filtration/conditional-expectation framework. Approved by Aaron.

Statement

Let λ:[0,)R\lambda:[0,\infty)\to\mathbb{R} be an intensity function with mean function Λ\Lambda in the sense of Stochastic Process, Independent Increments, and Inhomogeneous Poisson Process, where R\mathbb{R} is the set of real numbers, and let N=(Nt)t0N=(N_t)_{t\ge0} be an inhomogeneous Poisson process with intensity λ\lambda on a probability space (Ω,F,P)(\Omega,\mathcal{F},P). Let (FtN)t0(\mathcal{F}^{N}_t)_{t\ge0} be the natural filtration of NN.

Then the compensated Poisson process M=(Mt)t0M=(M_t)_{t\ge0} defined by

Mt=NtΛ(t)M_t=N_t-\Lambda(t)

is a square-integrable martingale with respect to (FtN)t0(\mathcal{F}^{N}_t)_{t\ge0}.

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