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Stochastic representation of Laplace equation with Neumann boundary condition

Consider nice domain $D\subset \mathbb R^d$ and $\Delta u =0$ with $u\big|_{\partial D}=g$. It is well known that $u(x)=E^x[g(B(\tau))]$ where $\tau$ is exit time of $B$ from the domain $D$. What if ...
user479223's user avatar
  • 1,904
3 votes
1 answer
546 views

Each diffusion SDE is associated to a *unique* family of transition kernels

I consider an SDE of the form $dX_t=b(X_t) \, dt + \sigma(X_t) \, dW_t$, with $b$ and $\sigma$ globally Lipschitz on $\mathbb{R}^n$. How can I prove that there exists a unique family of transition ...
No-one's user avatar
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3 votes
2 answers
554 views

Blow up limits for SDE

Let $W$ be a one dimensional standard Brownian motion, and let $X$ be the solution to the SDE $$dX_t = \sigma(X_t) \, dW_t \, , \, X_0 = 0$$ with $\sigma: \mathbb R \to \mathbb R$ Lipschitz continuous....
Nate River's user avatar
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3 votes
1 answer
277 views

Question on the martingale representation theorem

Let $(X_t)_{0\le t\le 1}$ be a continuous Markov martingale (with respect to its natural filtration) s.t. $X_0=0$ and $X_1\in\{-1,1\}$. Can we prove the existence of some measurable function $\sigma: [...
GJC20's user avatar
  • 1,334
3 votes
1 answer
315 views

Strong blow up limits for SDE

Note: This is a strengthening of the following result, motivated by the need for strong convergence in applications. Let $W$ be a one dimensional standard Brownian motion, and let $X$ be the solution ...
Nate River's user avatar
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3 votes
1 answer
528 views

Why would one work with Kushner-FKK equation over Zakai equation?

In stochastic filtering you are interested in a process called the optimal filter $\pi_t$ which is a probability measure(d stochastic process). You can consider the unnormalized version $V_t$. The ...
user avatar
3 votes
1 answer
83 views

Filtering Mixed Discrete and Continous

Suppose I have signal process $\lambda_t$ following the dynamics \begin{equation} \begin{aligned} \zeta_t&=\mu^{\zeta}(t,{\zeta}_t)dt+\sigma^{\zeta}(t,{\zeta}_t)dW^{\zeta}_t\\ \xi_t&=\mu^{\xi}(...
ABIM's user avatar
  • 5,405
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
  • 6,223
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
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3 votes
1 answer
952 views

How to get speed measure $m(dx)$, scale function $s$, and killing measure $k(dx)$ of a diffusion from the infinitesimal generator? [closed]

This question comes from P13 and P17 of the book Andrei N.Borodin and Paavo Salminen. Page P13 defines the speed measure $m(dx)$, the scale function $s$, and the killing measure $k(dx)$. Case 9 on P17:...
Fractional analysics's user avatar
3 votes
1 answer
1k views

Strong solution for geometric brownian motion with varying drift and volatility

I have an equation of the form: $$dX_{t}=\mu(X_{t})X_{t}dt+\sigma(X_{t})X_tdZ_{t}$$ I know that if I wrote it as $dX_{t}=\mu(X_{t})dt+\sigma(X_{t})dZ_{t}$, I would need strong assumptions on the ...
Pcw.'s user avatar
  • 315
3 votes
1 answer
159 views

Differentiability of a simple value function driven by a diffusion

Consider a diffusion given by, $d X_t = \mu(X_t) dt + \sigma(X_t) dB_t$ $X_0 = x$. Suppose the functions $\mu$ and $\sigma$ are as follows - $f(x) = \mu(x) = \sigma(x) = \begin{cases} 2 & \...
avk255's user avatar
  • 553
3 votes
1 answer
211 views

Statistically stationary properties of expectations conditioned on the value of an Ornstein–Uhlenbeck process

Consider the modified Ornstein–Uhlenbeck process $$\mathop{dx_t}=\theta(y_t-x_t)\, dt+{}\sigma\,dW_t$$ for a standard Brownian motion $W_t$ and $\theta,\sigma\in\mathbb{R}_{>0}$. Let's define the ...
Jean Daviau's user avatar
3 votes
1 answer
202 views

Onsager--Machlup functional as the density across a mesh of discrete points

It is known that the ratio of the probability of infinitesimal tubes around paths of Itō diffusion processes converges to the Onsager--Machlup (OM) functional. I wonder whether the ratio of the joint ...
Dimas Abreu Dutra's user avatar
3 votes
1 answer
345 views

Why control a continuous approximation of stochastic gradient descent instead of just the SGD?

In "Stochastic modified equations and adaptive stochastic gradient algorithms" (Li et. al 2015) the authors approximate stochastic gradient descent, as in $$x_{k+1} = x_k - \eta u_k \nabla f_{\...
Stefan Perko's user avatar
3 votes
1 answer
751 views

Equivalence of Itō and Stratonovich equations and how we ensure that the latter are well-defined

Remark: I've asked this question on MSE as well. Let $T>0$ $I:=[0,T]$ $(\Omega,\mathcal A,\operatorname P)$ be a probability space $(\mathcal F_t)_{t\in I}$ be a complete and right-continuous ...
0xbadf00d's user avatar
  • 167
3 votes
1 answer
110 views

Sequence of diffusions

Can every càdlàg semi-martingale be written as a sequence of diffusions? That is, is the set of continuous semi-martingales dense in some Skorohod space?
ABIM's user avatar
  • 5,405
3 votes
1 answer
1k views

Calculate Moments of SDE

I have posted a similar question on math.stackexchange (https://math.stackexchange.com/questions/1848492/calculate-mean-of-sde), but didn't find anyone who could help. I'm interested in the one-...
Philipp Wacker's user avatar
3 votes
1 answer
525 views

Malliavin differentiability of solutions to SDEs

In Bass's book on Diffusions and Elliptic Operators, the author gives a brief introduction into Malliavin Calculus. He calls a functional $F:C([0,1],\mathbb{R})\rightarrow \mathbb{R}$ $L^p-$smooth if ...
mathsquestion88'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
3 votes
0 answers
80 views

Norm estimate for parabolic SPDE solution

When $X$ satisfies $${\rm d}X_t=\varphi_t{\rm d}t+\Phi_t{\rm d}W_t$$ on a Hilbert space $H$, where $W$ is a $Q$-Wiener process on a Hilbert space $U$, we know by the Ito formula that $$\|X_t\|_H^2-\|...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
122 views

Dealing with noise that is white in time, colored in space numerically

I am broadly working on a dynamic process where we want to see how a field $\rho(r)$ changes in space in time with thermal noise. The system is biased around a thermodynamic saddle point dictated by $...
Yhtomit's user avatar
  • 31
3 votes
0 answers
202 views

Elworthy’s 1982 “Stochastic Differential Equations on Manifolds” - relevant?

In 1982, D. Elworthy published “Stochastic Differential Equations on Manifolds”. Apparently, this was quite a seminal book in the field of stochastic DE’s/processes on manifolds. Is this reference ...
Martin Geller's user avatar
3 votes
0 answers
235 views

Probability of a particle surviving forever

Consider a particle whose position is driven by the following equation: $$Y_t = y + t + W_t + C\min\big(1,(Y_t+1)^+\big)\Lambda_t,\quad \mbox{for all } 0\le t<\tau_*,$$ where $y>0$, $0<C<1$...
user avatar
3 votes
0 answers
570 views

Domain of the Generator of a Bessel process

Consider the Bessel Process of index $\nu\in (-1,0)$, or dimension $\delta=2\nu-1$ \begin{align} \rho_{t}=x+\frac{\delta-1}{2}\int_{0}^{t}\frac{1}{\rho_{s}}\,ds+W_{t} \end{align} where $(W_{t})_{t\geq ...
fast_and_fourier's user avatar
3 votes
0 answers
90 views

Mutual dependencies of BSDE solutions with markovian drivers with different starting points

Let $(\Omega,\mathcal F, P)$ be a complete probability space with a Brownian motion $(W_t)_{0\le t\le T}$ and the Brownian standard filtration $(\mathcal F_t)_t$ with $\mathcal F_T = \mathcal F$. Let ...
Kolodez's user avatar
  • 335
3 votes
0 answers
89 views

Why is the Jain Monrad condition the right condition on general Gaussian processes?

Consider a covariance function $\sigma^2(s,t)=E((X_t-X_s)^2)$, where $X\colon I\to \Bbb R^d$ is a Gaussian process. Given a $\rho\ge 1$ and a superadditive function $\omega(s,t)$ we say that Jain ...
user avatar
3 votes
0 answers
231 views

I've found a representation of the Itō-Stratonovich correction term and don't understand the used notion of a "trace"

Consider a Stratonovich SPDE $$X_t=X_0+\int_0^tb(s,X_s)\:{\rm d}s+\int_0^t\sigma(s,X_s)\circ{\rm d}W_s\tag 1$$ in a separable $\mathbb R$-Hilbert space $H$ with $W$ being a $Q$-Wiener process on a ...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
78 views

Perscribed/Inverting Conditional Expectation

I'm having difficulty finding papers which deal with the following inversion problem. Suppose I have a stochastic process $Y_t$ (which is described by a certain Hilbert-Space-valued SDE). I want to ...
ABIM's user avatar
  • 5,405
3 votes
0 answers
186 views

When we integrate with respect to a $Q$-Wiener process on $U$, why do we restrict integrands to be operators on $Q^{1/2}U$ (instead of $U$)?

When we integrate with respect to a $Q$-Wiener process $(W_t)_{t\ge 0}$ ($Q$ being a bounded, linear, nonnegative and self-adjoint operator on a separable $\mathbb R$-Hilbert space $U$ with finite ...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
276 views

Processes with the same finite dimensional distributions as the solutions to SDEs

Consider a sequence of stochastic processes $\{\tilde{x}^n\}$, $\tilde{x}^n = \tilde{x}^n_t(\omega)$, and Brownian motions $\{\tilde{w}^n\}$. Suppose that for each $\tilde{x}^n$ solves the stochastic ...
ghjdnkmttrasda's user avatar
2 votes
1 answer
280 views

Walker whose Velocity is a Brownian Bridge

Consider a continuous random walk $x (t) $, in which the velocity $v (t) = \mathrm dx/\mathrm dt $ rather than the position is described by Brownian motion, so that $v (t) = B_t $ where $B_{t+\epsilon}...
Niel de Beaudrap's user avatar
2 votes
2 answers
557 views

Is the stochastic integral invariant under equivalent change of probability?

Let $(\Omega,\mathcal F, \mathbb F,\mathbb P)$ be a filtered probability space under the usual conditions and suppose $\mathbb Q\sim\mathbb P$ is an equivalent probability measure. Let $X$ be a $\...
user85330's user avatar
2 votes
1 answer
296 views

Large noise limit for SDE with general volatility coefficients

Let $W$ be a standard one dimensional Brownian motion, and let $X$ be the solution to the SDE $$dX_t = \sigma(X_t) \, dW_t \;, \quad X_0 = 1 \;.$$ where $\sigma:\mathbb R \to \mathbb R$ is a ...
Nate River's user avatar
  • 6,223
2 votes
2 answers
733 views

Existence of strong solution to SDEs with non-Lipschitzian drift

Consider the SDE: $$dX_t=b(X_t)dt+dW_t\quad X_0=x$$ If $b$ is bounded Borel function, using Zvonkin's Transform, one can prove there exists a unique strong solution. I want to know if we assume $b$ ...
Guohuan Zhao's user avatar
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
493 views

Is the solution to this SDE always positive?

Let $W$ be a standard one dimensional Brownian motion, and consider the SDE $$dX_t = \sigma(X_t) \, dW_t, \, \, \, X_0 = 1 \, \text {a.s.}$$ Assume $\sigma$ is regular enough that the above SDE admits ...
Nate River's user avatar
  • 6,223
2 votes
1 answer
179 views

Solution of SDE with time power law singular diffusion

I was wondering if anything could be said at all about the well-psedness of the following time-inhomogeneous singular diffusion SDE: \begin{align}d X_t&=\sigma(X_t,t ) d W_t , \qquad t\geq 0, ...
Mr_3_7's user avatar
  • 135
2 votes
2 answers
88 views

Can the solution to a controlled SDE with additive noise have non full support?

Let $W$ be a standard $d$-dimensional Brownian motion. Consider the following SDE $$dX_t = b(X_t, u_t) \, dt + dW_t$$ with initial condition $X_0 = 0$ a.s., $b: \mathbb R^d \times \mathbb R^n \to \...
Nate River's user avatar
  • 6,223
2 votes
1 answer
173 views

Estimates on perturbation of drift of SDEs

Let $\mu_1,\mu_2:\mathbb{R}^n\rightarrow \mathbb{R}^n$ and $\sigma:\mathbb{R}^n\rightarrow \mathbb{R}^{n\times n}$ be Lipschitz functions, of at-most linear growth; i.e. $\|\sigma(x)\|\lesssim \|x\|,\|...
Math_Newbie's user avatar
2 votes
1 answer
549 views

A question related to Girsanov’s theorem

I’ve recently realised there is a subtlety in Girsanov’s theorem that I don’t really understand. Consider a standard one dimensional Brownian motion $W$, and consider the SDE $$dZ_t = \mu(t, Z_t) \, ...
Nate River's user avatar
  • 6,223
2 votes
1 answer
309 views

A bound for the occupation time of a diffusion

Let $\sigma: \mathbb R \times \mathbb R \to \mathbb R$ be a Lipschitz continuous function bounded below by some $M > 0$. Let $W$ be a standard Brownian motion, and let $X$ be the solution to the ...
Nate River's user avatar
  • 6,223
2 votes
1 answer
597 views

Question about the exit time of a time-homogeneous Itô diffusion

Consider a one-dimensional Itô diffusion: $$\mathrm{d} X_{t}=b\left(X_{t}\right) \mathrm{d} t+\sigma\left(X_{t}\right) \mathrm{d} B_{t}$$ where $X_0 = 0$ and $B_t$ is the standard Brownian Motion. ...
香结丁's user avatar
  • 331
2 votes
1 answer
503 views

Generalisation of Strassen's (Kellerer's) Theorem

Let $\mu$ and $\nu$ be two probability measures on $\mathbb R^d$ with finite first movements, i.e. $$\int_{\mathbb R^d}|x|~\mu(dx),\quad \int_{\mathbb R^d}|x|~\nu(dx) \quad <\quad +\infty.$$ $\mu$...
user111097's user avatar
2 votes
1 answer
238 views

Self-adjointness of generator and semigroup of an SDE

$ \newcommand{\bR}{\mathbb{R}} \newcommand{\bE}{\mathbb{E}} \newcommand{\bT}{\mathbb{T}} \newcommand{\bP}{\mathbb{P}} \newcommand{\bF}{\mathbb{F}} \newcommand{\cF}{\mathcal{F}} \newcommand{\eps}{\...
Akira's user avatar
  • 825
2 votes
1 answer
86 views

Smoothness of resolvent of the infinitesimal generator of an Ito diffusion acting on bounded continuous function

Let $dX_t=\sigma(X_t)\,dW_t+\mu(X_t)\,dt$ be an Ito diffusion with Lipschitz coefficients and $\sigma(x)>0$. Let $f(x)$ be a continuous and bounded and non decreasing function. Can we prove that ...
Stocavista's user avatar
2 votes
1 answer
258 views

Explicit solution to linear SDE with correlated Brownian motions

Let $W$ and $B$ be correlated one dimensional Brownian motions with constant correlation coefficient $r \in (-1, 1)$, that is, we have $d\langle W, B \rangle_t = r \, dt.$ We assume we have $B_0 = v$ ...
Nate River's user avatar
  • 6,223
2 votes
1 answer
417 views

Convergence of the quadratic variation process

Suppose we are given a sequence of stochastic processes $X^n, n\in\mathbb{N},$ with finite quadratic variations and a stochastic process $X$ such that for every $t\geq0$ $$ \lim_{n\to\infty}\mathbb{E}(...
El_mago's user avatar
  • 199
2 votes
1 answer
204 views

Comparing diffusion processes in different metrics

I would like to know if it is possible to compare two diffusion processes defined on the same manifold $\mathcal{M}$ but with respect to different metrics say $g_1$ and $g_2$. Is there a way to apply ...
can't stop me now's user avatar
2 votes
2 answers
416 views

Short time limits for SDE

Let $W$ be a standard one dimensional Brownian motion, and let $X$ be the solution to the SDE $$dX_t = \sigma(X_t) \, dW_t \;, \quad X_0 = x_0\;.$$ where $\sigma:\mathbb R \to \mathbb R$ is a ...
Nate River's user avatar
  • 6,223