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2 votes
0 answers
41 views

Approximate the adjoint generator of the discretization of an SDE

Let $d\in\mathbb N$; $\sigma\in\mathbb R^{d\times d}$; $p\in C^1(\mathbb R^d)$ be positive with $$c:=\int p(x)\;{\rm d}x<\infty\tag1$$ and $$b:=\frac12\Sigma\nabla\ln p;$$ $(X_t)_{t\ge0}$ denote ...
0xbadf00d's user avatar
  • 167
4 votes
0 answers
328 views

Convergence to unique stationary distribution for SDEs and Markov processes

I am interested in understanding the behavior of solutions to stochastic differential equations (SDEs) and continuous-time Markov processes with constant coefficients. Specifically, I would like to ...
Zhang Yuhan's user avatar
5 votes
2 answers
369 views

Markov process on a torus with prescribed invariant distribution

In Euclidean space, $\mathbb R^d$, the Langevin diffusion $${\rm d}X_t=b(X_t){\rm d}t+\sigma(X_t){\rm d}W_t\tag1,$$ where $\sigma:\mathbb R^d\to\mathbb R^{d\times k}$, $$b:=\frac{\Sigma+U}2\nabla\ln p+...
0xbadf00d's user avatar
  • 167
1 vote
0 answers
276 views

Path dependent Markov property

Let's consider a function $\Psi\in \mathcal{C}_B(\mathcal{C}[t,T])$ continuous and bounded \begin{align*} \Psi \colon \mathcal{C}[t,T] \longrightarrow [0,+\infty) \end{align*} Then my question is:...
defex95's user avatar
  • 159
2 votes
0 answers
41 views

If a stochastic flow is Fréchet differentiable in the spatial parameter, does the induced transition semigroup preserve differentiability?

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space, $(E,\mathcal E)$ be a measurable space, $X:\Omega\times[0,\infty)\times E\to E$ be $(\mathcal A\otimes\mathcal B([0,\infty))\otimes\...
0xbadf00d's user avatar
  • 167