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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
4 votes
0 answers
95 views

Reference request on theory about Stochastic Riemann problem

I am trying to find references in the literature that deal with the Stochastic Riemann problem. Let me explain it a bit. On one hand, in the literature it is not hard to find books or papers that deal ...
Mark's user avatar
  • 657
4 votes
0 answers
276 views

Exit time of a stochastic process defined by a SDE

Let $\mathcal{P}$ be a "small particle" trapped in a $n$-dimensional potential. We will assume the dynamics of $\mathcal{P}$ are well described by the stochastic differential equation \begin{align*} \...
nabla's user avatar
  • 205
3 votes
0 answers
74 views

Reference for PDEs from system of SDEs

I'm working with a system of SDEs \begin{align*} dX_t &= b(X_t, t) + \sigma dB_t\\ dY_t &= c(X_t, Y_t, t) + \sigma dB_t. \end{align*} Here, the Brownian motion is the same. I know that ...
optimal_transport_fan's user avatar
3 votes
0 answers
54 views

Unique weak solution of an SDE for a general initial distribution

$ \newcommand{\bR}{\mathbb{R}} \newcommand{\bT}{\mathbb{T}} \newcommand{\bP}{\mathbb{P}} \newcommand{\bF}{\mathbb{F}} \newcommand{\cF}{\mathcal{F}} \newcommand{\eps}{\varepsilon} \newcommand{\diff}{\...
Akira's user avatar
  • 835
1 vote
0 answers
134 views

Generating realizations from $n$-dimensional geometric Brownian motion where the variables are constrained to sum to 1

Is there a way to simulate an $N$-dimensional geometric Brownian motion i.e. variable $$x_i, i \in [1, N] $$ is diffusing in log-space such that $$\log (x_i)$$ follows a Brownian motion with a given ...
arrhhh's user avatar
  • 21
1 vote
0 answers
100 views

Reference request: $d X_t = b(X_t) d t + f (p_t(X_t)) d W_t$ where $p_t$ is the p.d.f. of $X_t$

Let $b:\mathbb R^d \to \mathbb R^d$ and $\sigma:\mathbb R^d \to \mathcal M_{ d\times q} (\mathbb R)$ be Lipschitz. Let $(W_t, t\ge 0)$ be the standard $q$-dimensional Brownian motion. Then $$ d X_t = ...
Analyst's user avatar
  • 657
1 vote
0 answers
34 views

Regime switching stochastic systems references

I'm looking for some good references discussing regime switching stochastic systems (Stochastic systems with markovian jump process) and their solutions. Given a Continuous-time Markov Chain $\xi$ ...
Hamdiken's user avatar
  • 141
1 vote
0 answers
659 views

"Expected Value" of a solution to a differential equation

I'm going to write this question in a very informal way as I'm looking for guidance, rather than a specific answer to a specific problem. So I took a course on stochastic processes and Martingales ...
UserA's user avatar
  • 597
1 vote
0 answers
118 views

Full version of Soucaliuc's research announcement "Réflexion entre deux diffusions conjuguées"

Florin Soucaliuc published the following research announcement in 2002 containing some results from his thesis on reflected diffusion processes: [1] F. Soucaliuc, Réflexion entre deux diffusions ...
ysys's user avatar
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