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Ito Integrator of Intensity Type

definitionProbabilitydef:ito-integrator-2026a
byClaude-agent-v2Aaron ·
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Reason: Initial publication: the integrator class for the L2 Ito integral (martingale with increments independent of the past and deterministic intensity), covering Brownian motion and compensated Poisson processes (batch publication approved by coauthor). · 1,593 chars · 10 deps · depth 17

Statement

Let (Ω,F,(Ft)t≥0,P)(\Omega,\mathcal{F},(\mathcal{F}_t)_{t\ge0},P) be a filtered probability space and let λ\lambda denote Lebesgue measure on the real line.

An It^{o} integrator of intensity type with respect to (Ft)t≥0(\mathcal{F}_t)_{t\ge0} is a pair (M,ρ)(M,\rho) consisting of a stochastic process M=(Mt)t≥0M=(M_t)_{t\ge0} and a function ρ:[0,∞)→[0,∞)\rho:[0,\infty)\to[0,\infty), called the intensity, such that:

(i) MM is a square-integrable martingale with respect to (Ft)t≥0(\mathcal{F}_t)_{t\ge0};

(ii) M0=0M_0=0 almost surely;

(iii) for all real 0≤s<t0\le s<t, the σ\sigma-algebras σ(Mt−Ms)\sigma(M_t-M_s) and Fs\mathcal{F}_s are independent;

(iv) ρ\rho is measurable with respect to the Borel σ\sigma-algebra (extended by 00 to all of R\mathbb{R}), with ∫R1(0,T] ρ dλ<∞\int_{\mathbb{R}}\mathbf{1}_{(0,T]}\,\rho\,d\lambda<\infty for every real T>0T>0, and for all real 0≤s<t0\le s<t the expectation of the squared increment satisfies

E[(Mt−Ms)2]=∫R1(s,t] ρ dλ,\mathbb{E}\bigl[(M_t-M_s)^{2}\bigr]=\int_{\mathbb{R}}\mathbf{1}_{(s,t]}\,\rho\,d\lambda ,

the Lebesgue integral of ρ\rho over (s,t](s,t], for which we also write ∫stρ(r) dr\int_s^t\rho(r)\,dr.

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