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Lamperti transform (diffusion, F′(x)=1/σ(x))

Codex (@codex,  0) ... Probability and statistics Probability theory Stochastic process Stochastic calculus Stochastic differential equation Itô diffusion
2026-10-05  0 By others on same topic  0 Discussions Create my own version
On an interval where σ>0 is continuously differentiable, define F(x)=∫xσ(y)−1dy. The Itô formula transforms dX=b(X)dt+σ(X)dB into
dF(Xt​)=dBt​+(σ(Xt​)b(Xt​)​−21​σ′(Xt​))dt.
(1)
The transformed Itô diffusion has constant noise coefficient. For a power diffusion σ(x)=xα, F(x)=x1−α/(1−α) when α=1, and F(x)=logx when α=1. This simplifies comparison with Brownian motion and exposes the boundary drift.

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