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5 votes
1 answer
1k views

Correlated Brownian motions across different times and representation with independent processes

This is a more wide-net question of Two increasingly correlated Brownian motions and Williams decomposition. In our problem we have two correlated Brownian motions $B^1,B^2$ (starting at time $t=0$ ...
Thomas Kojar's user avatar
  • 5,474
4 votes
2 answers
376 views

Gibbs measure as stationary distribution of SDEs

I have been trying to understand how one can mathematically explain some of the results from statistical mechanics, especially regarding certain distributions like the Gibbs distribution. It would be ...
Zhang Yuhan's user avatar
4 votes
1 answer
403 views

When are the transition densities of an SDE symmetric?

We fix $T>0$. Let $b:[0, T] \times \mathbb{R}^d \rightarrow \mathbb{R}^d$ and $\sigma:[0, T] \times \mathbb{R}^d \rightarrow \mathcal{M}^\text{sym}_{d \times d}(\mathbb{R})$ be measurable and ...
Akira's user avatar
  • 825
4 votes
1 answer
489 views

Regularity for Stochastic heat equation with additive noise in d=2

I would greatly appreciate any references were they study the stochastic equation in higher dimensions: $u_{t}=\Delta u+f$ in great detail, especially in dimension 2. In Hairer's Spde notes , he ...
Thomas Kojar's user avatar
  • 5,474
4 votes
1 answer
610 views

Stochastic differential equation associated with an optimal control problem

We know how to find the stochastic differential equation (Hamilton-Jacobi-Bellman equation, HJB) of the control problem where a process $X_t$ is controlled up until it is stopped at a stopping time $\...
skillfeedback's user avatar
4 votes
1 answer
262 views

Bounded density for diffusions with diffusion coefficients bounded away from $0$

Consider a diffusion given by $$X_t=\int_0^t a(s,X_s)\,dW_s$$ for $t\ge 0$, where $W_\cdot$ is a standard Wiener process/Brownian motion and $a$ is a smooth enough positive function bounded away from $...
Iosif Pinelis's user avatar
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
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
1 answer
209 views

Pathwise Hölder continuity of Ito diffusions - is this result written anywhere?

Let $X$ be the solution to the multidimensional SDE $$dX_t = \mu(X_t) \, dt + \sigma(X_t) \, dW_t,$$ with $W$ a Brownian motion, and $\mu, \sigma$ Lipschitz continuous with $\sigma$ nowhere zero. I'm ...
Nate River's user avatar
  • 6,215
3 votes
1 answer
390 views

Reference request for a Riemannian Fokker-Planck equation

The original post is in StackExchange but no one has answered it yet. I personally think it is more related to the research area so I put it in MathOverflow. Below is the question in the original post:...
Eddie's user avatar
  • 187
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
  • 825
2 votes
1 answer
216 views

Decay estimate of moment of an SDE

We consider an SDE $$ d X_t = b(t, X_t) \, dt + \sigma(t, X_t) \, d B_t, $$ where $(B_t)$ is a $d$-dimensional Brownian motion on $\mathbb R^d$. We fix $p \in [1, \infty)$. Here $b, \sigma$ are ...
Akira's user avatar
  • 825
2 votes
1 answer
304 views

When does a solution to SDE have full support?

Suppose an $n$-dimensional process $(X_t)_{0 \leq t \leq 1}$ satisfies an SDE of the form: $$dX_t = u_t(X_t) \,dt + dB_t, ~~X_0 = 0$$ where $(B_t)_{t\geq 0}$ is a Brownian motion with $B_1 \sim N(0,K)$...
Tom's user avatar
  • 716
2 votes
2 answers
255 views

Process with covariance $E[Y_{t}Y_{s}]=a_{1}-a_{2}|t-s|$

We have a centered Gaussian process $X_{t}$ where we have exact equality $$E[X_{t}X_{s}]=a_{1}-a_{2}|t-s|$$ for $|t-s|<\epsilon_{0}\ll \frac{a_{1}}{a_{2}}$ and $a_{i}>0$. Q: I am curious if ...
Thomas Kojar's user avatar
  • 5,474
1 vote
1 answer
337 views

Bessel process conditioned to stay positive

This question has also been asked on https://math.stackexchange.com/questions/4174928/bessel-process-conditioned-to-stay-positive Suppose the stochastic process $(X_t)_{t\ge 0}$ with start in $X_0:=x&...
maliesen's user avatar
  • 284
1 vote
1 answer
100 views

Reference to log-transition-density of a diffusion process

Consider the scalar diffusion $X=(X_t)_{t\geq 0}$ given by $$\mathrm{d}X_t \ = \ b(X_t)\,\mathrm{d}t \ + \ \sigma(X_t)\,\mathrm{d}B_t, \qquad X_0=\xi,$$ with $b$, $\sigma$ smooth, $\xi$ absolutely ...
cts12's user avatar
  • 51
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
  • 43
0 votes
1 answer
379 views

What is the derivative of this integral?

I have asked this question here https://math.stackexchange.com/questions/1536018/how-to-find-derivative-of-this-intergral but still has no response. Might I ask it here ? Let $\alpha(t)\in\{0,1\}: ...
Nguyen's user avatar
  • 131
0 votes
1 answer
152 views

About deriving the Fokker-Plank-Smoluchowski equation of a (homogeneous) S.D.E

We recall that given a $d-$dimensional stochastic process defined as a solution of a homogeneous S.D.E $dX_t = b(X_t)dt + \sigma(X_t)dB_t$ its corresponding infinitesimal generator ${\cal L}$ is s.t ...
gradstudent's user avatar
  • 2,246
0 votes
1 answer
341 views

Hitting probability for mean-reverting stochastic process

I quote Delbaen and Shirakawa (2002). Starting from a stochastic differential equation of the form: $$dr_t=\alpha\left(r_{\mu}-r_t\right)dt+\beta\sqrt{\left(r_t-r_m\right)\left(r_M-r_t\right)}dW_t\...
Strictly_increasing's user avatar