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Questions tagged [stochastic-calculus]

Stochastic calculus provides a consistent theory of integration for stochastic processes and is used to model random systems. Its applications range from statistical physics to quantitative finance.

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Expected value and variance of a stochastic process

I would like to ask if there is a way to find the expected value and the variance of the following process $$ dv_t=(a-be^{\alpha v_t})dt+\sigma dW_t, \quad v_t=v_0 $$ where $a\in (-\infty,+\infty), b&...
KNN's user avatar
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Question about the stochastic integral of martingales

Let $M=(M_t)_{t\ge 0}$ be a continuous martingale defined on some filtered probability space taking values in $\mathbb{R}$. Let $H=(H_t)_{t\ge 0}$ be some bounded progressively measurable process, i.e....
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$\alpha$ stable processes without jumps

Levy processes with jumps can be formulated following the Levy-kinchkine representation, which provide a decomposition of the characteristic function into three factors corresponding to the diffusion (...
user1172131's user avatar
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Drift of reverse SDE with Lévy processes ($\alpha$ stable distributions)

Given an SDE with a Lévy process with a drift $b(x,t)$ the reverse SDE will have a drift, $\tilde{b}(x,t)$, given by the relation: $$\tilde{b}(x,t) = - b(x,t) + \int_{\mathbb{R}} y \left( 1 + \frac{...
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Existence and moment estimation for a linear stochastic differential equation (SDE) with random coefficients

Let $W$ be one-demensional Brownian motion, and suppose $X$ satisfies the following SDE $$ \mathrm{d}X_s=(A_sX_s+B_s)\mathrm{d}s+(C_sX_s+D_s)\mathrm{d}W_s, \quad X_0=x_0\in\mathbb{R}^n, $$ where $A, C\...
Sheng Wang's user avatar
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An application to product formula of multiple integral

It is well-known that from Nualart's book, two multiple integrals can be expanded into a sum of multiple integrals, i.e., $$I_n(f)I_m(g)=\sum_{i=0}^{m\wedge n}i!C_m^iC_n^iI_{m+n-2i}(f\otimes_ig),$$ ...
Y. Li's user avatar
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Adding a data-dependent term to the porous medium equation while retaining an explicit solution

I am working with the porous medium equation, which I am treating it as a type of Fokker-Planck equation given by: $ \frac{\partial u}{\partial t} = \Delta(u^m), \quad m > 1 $ For this equation, ...
VargM's user avatar
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Gaussian Hypercontractivity of Chaos based on Gaussian with value in Hilbert spaces?

The classical Gaussian hypercontractivity is stated as following: Suppose $\xi$ is a Gaussian variable and $H_n(\xi)$ is the space of n-th homogeneous Wiener chaos constructed from $\xi$, then for any ...
Inuyasha's user avatar
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A stochastic optimal control problem with filtering-like dynamics

I want to extend the following stochastic optimal control problem with randomized feedback control to the continuous time case \begin{align} \text{minimize}\quad \mathbb{E}_{\mathbb{H}}&\bigg[\...
Francis Fan's user avatar
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The limit ratio of two Markov Chain Probability

Suppose there are two given SDE in $\mathbb{R}^d$: $$ \begin{align} \left\{ \begin{aligned} dX_t&=\begin{bmatrix}-\nabla V(X_t)+2\beta^{-1}v_F^\theta(X_t)\end{bmatrix}dt+\sqrt{2\beta^{-1}}dW_t,&...
Francis Fan's user avatar
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White noise, stochastic convolution: $0$–$1$ law of a stopping time

Let $\mathscr{C}^\alpha:=B_{\infty,\infty}^{\alpha}$ be the Besov space with the usual norm and let $C_T\mathscr{C}^\alpha:=C([0,T],\mathscr{C}^\alpha)$ the space of continuous functions from $[0,T]$ ...
mathex's user avatar
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A question about one Malliavin derivative calculation

Recently, I've asked here a question. While trying to find an answer on my own, I found an idea which I now will briefly describe below. I am not familiar enough with the Malliavin calculus, so my ...
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Expectation of $B_u \operatorname{argmax}_t B_t$

This question is a repost from math.stackexchange. The question turned out to be harder than I initially thought, so I decided to try my luck here. Yesterday I asked a question about the joint law of ...
tsnao's user avatar
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Derivative with respect to initial condition for the solution of an SDE

Suppose we have an SDE (assuming the Lipschitz continuous conditions required for the existence of the solution): \begin{align} dX_t = \mu(X_t,t)dt + \sigma(X_t,t)dW_t \end{align} and define its ...
GigaByte123's user avatar
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Solutions to ODE/SDE with singular coefficients $dX_t = -X_t/t \, dt + g\,dW_t$

I encountered a question regarding the solutions to SDEs with singular drifts. I searched the literature but had a hard time figuring out the intuition behind these analytic results assuming different ...
Yifan's user avatar
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On calculating the second quantization operator $\Gamma(A)$ of the Ornstein-Uhlenbeck operator $A$

Let $A$ be a self-adjoint operator on a Hilbert space , and let $d\Gamma(A)$ be the generator of the second quantization of $A$. Consider the following theorem from Segal's "Non-Linear Quantum ...
matilda's user avatar
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Piecewise Ornstein-Uhlenbeck process time integral

Let $X_t$ be a piecewise Ornstein-Uhlenbeck process with infinitesimal variance $\sigma^2$ and (piecewise) infinitesimal mean $\theta_1$ for $x<c$ where $c$ is a constant and $\theta_2$ for $x\geq ...
17miles's user avatar
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Heat kernel and estimates

In the article by Hairer-Labbe (A simple construction of the continuum parabolic Anderson model on $\mathbb{R}^2$), they used the following "well known" fact (picture below) in holder spaces....
mathex's user avatar
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Stochastic volatility model question

Let suppose that $S_t$ is a process defined as: $$ \begin{cases}dS_t = \mu S_t\,dt+m(v_t)\,dW^1_t\\ dv_t = \mu_v(v_t)\,dt + \sigma_v(v_t)\,dW^2_t\end{cases}$$ where the two Brownian motions have ...
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Freidlin Wentzell for stochastic differential inclusions

Consider the SDI $$dX^\varepsilon(t)\in b(X^\varepsilon(t))\,dt + \varepsilon \sigma(X^\varepsilon(t)) \, dB(t).$$ Is there any Freidlin-Wentzell large deviations principle for $X^\varepsilon$?
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SPDE via fixed point argument and Young's theorem

Let $(P_r)_{r\geq 0}$ be a strongly continuous semi-group (not necessarily the heat kernel). It is well known that we can prove local well-posedness of a few SPDE using a fixed point argument: Young's ...
mathex's user avatar
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Lower bound of $\mathbb P[\sup_{t-\theta\le s\le t}|X_s-x|\le \varepsilon \mid X_t=x]$ (without observing history)

Let $X$ be the solution to some stochastic differential equation $$dX_t =b(X_t) \, dt+a(X_t) \, dW_t,\quad \forall t>0.$$ Here $b,a: \mathbb R^d \to\mathbb R^d$ are bounded and Lipschitz and $W$ ...
Fawen90's user avatar
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Characteristic function of stochastic integral of a pure jump Lévy process with respect to another pure jump Lévy process

(I am cross-posting this question here from MSE: https://math.stackexchange.com/questions/4725734/characteristic-function-of-stochastic-integral-of-a-pure-jump-l%c3%a9vy-process-with. I apologize if ...
Tom's user avatar
  • 11
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190 views

Eigenvalues/eigenfunctions of a diffusion generator

Consider the following symmetric second order diffusion operator, defined, for $\phi \in \mathcal{C}^{2,1}_c\left(\mathbb{R}\times \mathbb{R}_+\right)$, by: $$L\phi := \lambda_1 \partial_{R_1}(R_1 \...
Greyearl's user avatar
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115 views

Modulus of "set"-continuity for Wiener Field

My question concerns some "set-wise" continuity properties of Gaussian random fields, more specifically of Wiener fields (see definition here: https://encyclopediaofmath.org/wiki/...
BabaUtah's user avatar
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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
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Stratonovich version of Girsanov

One version of Girsanov says that, that if $\mu_0$ is the law of a Brownian motion as a Borel measure on the space of continuous functions and we define the density $$\frac{d\mu}{d\mu_0}:=\exp\left(\...
user479223's user avatar
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Patching together weak solutions of SDE's at random time points

Suppose we are given a sequence of drift coefficients $b^n : \mathbb R \to \mathbb R$ and we know that the following SDE has a weak solution, unique in law on $[0,\infty)$ $$dX_t^n(\mu) = b^n(X_t^n(\...
Stefan Perko's user avatar
1 vote
1 answer
179 views

For fixed $f \in L^2$ and $T>0$, choose $g$ so that $ \mathbb{E}^x[g(T-\tau)\chi_{X_\tau=1}]=-\mathbb{E}^x[f(X_T)\chi_{\tau \ge T}]$

Let $f \in L^2(0,1)$ and $T>0$ be fixed. How can I choose $g \in L^2(0,T)$ such that \begin{align*} 0\equiv \mathbb{E}^x\left[f\left(X_T\right) \chi_{\tau \geqslant T}+g(T-\tau) \chi_{X_\tau=1}\...
nate's user avatar
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0 answers
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Showing that the natural scale function is a martingale under specific conditions

My question is related to this post How to find the "natural scale function" for more general stochastic processes?. Indeed, I am trying to solve an exercise in which I have to show that if ...
vfsh's user avatar
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0 answers
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Elliptic principal eigenfunction analysis for Langevin dynamics with a varying source term

Consider the Kolmogorov forward equation for a Langevin dynamic: $$\DeclareMathOperator{\Div}{div} \begin{cases} \dfrac{\partial}{\partial t} f = \Delta f + \Div(f\nabla V)\\ \\ \displaystyle\int_{\...
Junlong's user avatar
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0 answers
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Markov property of jump type diffusions

Consider the following jump-type SDE with two random Poisson measures $N_1$, $N_2$ and a Brownian motion $B_t$: $dX_t= b(X_t)dt + \sigma(X_t)dB_t + \int{}F_1(X_t,u)N_1(dt,du) + \int{}F_2(X_t,u)N_2(dt,...
cogitoergoboom's user avatar
1 vote
0 answers
156 views

Fokker-Planck equation for a 3D Bessel bridge

Consider a 3D Bessel bridge $\rho_t$ connecting $(x,t)=(0,0)$ and $(x,t)=(0,T)$, whose SDE is given by $$d\rho_t = \left(\frac{1}{\rho_t} - \frac{\rho_t}{T-t}\right)dt + dB_t,$$ where $B_t$ is a ...
AD Le's user avatar
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1 vote
0 answers
157 views

The stochastic parallel transport as a limit of piecewise geodesic parallel transports

Let $(M,g)$ be a Riemannian manifold, and $E \to M$ be a vector bundle endowed with a connection $\nabla$. If $c:[0,1] \to M$ is a continuous curve, and if $\Delta = \{t_1, \dots, t_m\} \subset [0,1]$,...
Alex M.'s user avatar
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How do we need to argue in this step of the Itō-Lévy-Khintchine decomposition?

Let $E$ be a $\mathbb R$-Banach space; $(\Omega,\mathcal A,\operatorname P)$ be a probability space; $(\mathcal F_t)_{t\ge0}$ be a filtration on $(\Omega,\mathcal A)$; $(X_t)_{t\ge0}$ be an $E$-...
0xbadf00d's user avatar
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0 answers
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Continuation : Does the density of a stopped drifted Brownian motion vanish at zero?

Let $$Y_t:=1+\int_0^t b_sds + W_t,\quad\forall t\ge 0,$$ where $(b_t)_{t\ge 0}$ is a bounded adapted process and $(W_t)_{t\ge 0}$ is a standard Brownian motion. Denote $\tau:=\{t\ge 0: Y_t\le 0\}$ and ...
GJC20's user avatar
  • 1,334
1 vote
1 answer
183 views

Let $(X, W)$ be a weak solution to a SDE. Is $W$ a Brownian motion w.r.t. $\sigma(X_s : s \le t)$?

Let $(X, W)$, $(\Omega, \mathcal{F}, \mathbb{P})$, $\{\mathcal{F}_t\}$ be a weak solution to an SDE. Per definition $W$ is an $\mathcal{F}_t$-Brownian motion and both $X$, $W$ are adapted to $\mathcal{...
Lochend's user avatar
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1 answer
171 views

Does the convergence of drifted Brownian motion imply the convergence of expectation?

Let $(f_{\epsilon})_{\epsilon>0}$ be a family of non-increasing and continuous functions on $\mathbb R_+$ s.t. $f_{\epsilon}(0)=1$ and $f_{\epsilon}(\infty)=0$. Assume that $\epsilon\mapsto f_\...
user avatar
1 vote
0 answers
124 views

On the Lipschitz constant of $\Gamma$

Let $b: \mathbb R_+\times\mathbb R\times \mathbb R\to\mathbb R$ be a function as nice as possible, and $C^1([0,T])$ be the space of continuously differentiable functions $\alpha:[0,T]\to\mathbb R$ ...
GJC20's user avatar
  • 1,334
1 vote
0 answers
328 views

Preservation of variance for log-normal variables under change of measure

Aim: to show that changing a probability measure via the application of a Radon-Nikodym derivative preserves variance of a log-normally distributed random variable (for the case when variance is non-...
Jan Stuller's user avatar
1 vote
0 answers
100 views

Ito formula for fractional BM + drift and supremum bound

Let $W^H$ be a fBm with Hurst parameter $H$ and let $\mathcal{H}$ be its Cameron-Martin space. Then by Girsanov theorem we know that if $\mathbb{P}$ is an fBm measure, it holds that there exists a ...
defenestrator's user avatar
1 vote
0 answers
91 views

When enlarging a filtration makes a stochastic processes into a solution to an SDE

Let $n$ be a positive integer and let $(Y_t)_{t\in [0,1]}$ on $\mathbb{R}^n$ be a stochastic process defined on a filtered probability space $(\Omega,\mathcal{F},(\mathcal{F}_t)_{t\in [0,1]},\mathbb{P}...
ABIM's user avatar
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1 vote
0 answers
41 views

Dependency of first hittimg time on coefficients of SDE

Let $b: \mathbb R_+\times\mathbb R\times [0,1]\to [\underline b,\overline b]$ and $a: \mathbb R_+\times\mathbb R\times [0,1]\to [\underline a,\overline a]$ be Lipschitz, where $\overline b>\...
GJC20's user avatar
  • 1,334
1 vote
0 answers
240 views

Where to submit a new proof of the continuous martingale convergence theorem?

There were various proofs of the discrete martingale convergence theorem, but as far as I know there is only one proof of the continuous version of this theorem using the up-crossing lemma. I wrote a ...
Ghafari's user avatar
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177 views

A question on Gaussian small ball probability

Consider the random variable $$ G = \sum_{j=1}^{\infty} \lambda_j Z_j^2 $$ where $Z_j \sim_{\substack{i.i.d}} N(0,1)$ and $\lambda_j$ some non increasing sequence of positive numbers with $\sum_{j=1}^{...
Exc's user avatar
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0 answers
240 views

Convergence of the Ito integral along a filtration

Let $W$ be a standard Brownian motion, and $\mathcal F_t$ its natural filtration. Let $X$ be an $\mathcal F_t$-predictable process. Question: Fix $b > a > 0$. Is it true that for all sequences $...
Nate River's user avatar
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How to show a space is an invariant core for a strongly continuous semigroup?

This question comes from a paper 2015(Kolokoltsov) Theorem 4.1. In the end of the proof i), “Applying to $T_t$ the procedure applied above to $T_t^h$ shows that $T_t$ defines also a strongly ...
Ailiy Evan's user avatar
1 vote
0 answers
464 views

Reference request: Introduction to stochastic control theory

I’m looking for a nice readable introductory text to stochastic control theory. Background wise, I know some general stochastic analysis and deterministic optimal control theory. Some criterion I’m ...
1 vote
0 answers
206 views

The quadratic variation of $\int_0^t\int_T^Sg(s,x) \, dW_s^x \, dx$

Consider the process $W^x_t$ which is a Brownian motion for every $x\geq 0$ such that $$d\langle W_t^x,W_t^y\rangle=Q(x,y)\,dt$$ where $Q$ is some non-negative definite function. Now consider the ...
Heisenberg's user avatar
1 vote
0 answers
177 views

Adiabatic elimination of "fast"/"velocity" variable

My question comes from section IV, part A of the paper titled Stochastic resonance. Specifically, their equation (4.1) states that, if we start with a Langevin equation of the form $$m\ddot{x} = -m\...
Fei Cao's user avatar
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