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An $L_p$-theory for diffusion equations related to stochastic processes with non-stationary independent increment (1705.01243v2)

Published 3 May 2017 in math.AP

Abstract: Let $X=(X_t){t \ge 0}$ be a stochastic process which has an (not necessarily stationary) independent increment on a probability space $(\Omega, \mathbb{P})$. In this paper, we study the following Cauchy problem related to the stochastic process $X$: $\label{main eqn} \frac{\partial u}{\partial t}(t,x) = \cA(t)u(t,x) +f(t,x), \quad u(0,\cdot)=0, \quad (t,x) \in (0,T) \times \mathbf{R}d, \end{align} where $f \in L_p( (0,T) ; L_p(\mathbf{R}d))=L_p( (0,T) ; L_p)$ and \begin{align*} \cA(t)u(t,x) = \lim{h \downarrow 0}\frac{\mathbb{E}\left[u(t,x+X_{t+h}-X_t)-u(t,x)\right]}{h}$. We provide a sufficient condition on $X$ to guarantee the unique solvability of equation (\ref{ab main}) in $L_p\left( [0,T] ; H\phi_{p}\right)$, where $H\phi_{p}$ is a $\phi$-potential space on $\mathbf{R}d$. Furthemore we show that for this solution, | u|{L_p\left( [0,T] ; H\phi{p}\right)} \leq N |f|_{L_p\left( [0,T] ; L_p\right)}, where $N$ is independent of $u$ and $f$.

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