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Section: New Results

Self-regulated processes

Participants : Jacques Lévy Véhel, Anne Philippe, Caroline Robet

We wish to construct various instances of processes Z such that, at each point t, almost surely, the pointwise Hölder exponent of Z at t, denoted αZ(t), verifies

αZ(t)=g(Z(t))

where g𝒞1(,[a,b]) is a deterministic function. Then, we would estimate the function g which control the regularity.

The pointwise Hölder exponent at t of a function or a process f:, which is 𝒞1 nowhere, is the real αf(t) such that :

αf(t)=sup{β,lim suph0f(t+h)-f(t)hβ=0}

We worked first on pathwise integrals :

Theorem 1 Let g𝒞1(,[a,b]), 0<a<b<1. Provided g' is small enough, there exists a unique continuous process Z verifying almost surely on [0,T]

Zt=0t(t-u)g(Zu)-1Wudu

where W is an almost surely continuous process.

A random condition (g'W(ω)C(a,T)<1) appears in the application of Banach fixed point theorem (in (𝒞0([0,T];),.)). It implies that it is possible to have existence et uniqueness only on [0,t'], t'<T. We simulated pathwise integrals and showed some cases without uniqueness. We studied some easier processes in order to find the regularity of Z.

Theorem 2 Let h]0,1[ and U defined on [0,T] by

Ut=0t(t-u)h-1Wudu

Then t[0,T], αU(t)h.

Theorem 3 Let g𝒞1(,[a,b]), 0<a<b<1. Provided g' is small enough, there exists a unique continuous process Y verifying almost surely on [0,T]

Yt=0t(t-u)g(Yt)-1Wudu

where W is an almost surely continuous process. Furthermore, t[0,T], αY(t)g(Yt)

Then, we adapted the multifractional Brownian Motion [50], [31] (which a representation is Bt=0tKH(t)(t,u)W(du), W Brownian Motion et H𝒞1) to construct the modified multifractional Brownian Motion : Zt=0tKH(u)(t,u)W(du). We expect obtain a self-regulated process Yt=0tKg(Yu)(t,u)dW(u).

Theorem 4 Let g𝒞1(,[a,b]), 0<a<b<1. Provided g' is small enough, there exists a unique continuous adapted process Y include in 𝒞0([0,T];L2(Ω)) verifying almost surely on [0,T]

Yt=0tKg(Yu)(t,u)dW(u)

where W is the Brownian motion.