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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.

0 votes
2 answers
184 views

Is $\mathcal C(\mathbb R_+, \mathbb R)$ measurable in the cylindrical $\sigma$-algebra $B(\mathbb R)^{\otimes \mathbb R_+}$?

Let $$ \mathcal A(\mathbb R_+, \mathbb R) = \{ f : \mathbb R_+ \to \mathbb R \text{ a map}\}. $$ For each $t \ge 0$, denote by $$ \operatorname{ev}_t : \mathcal A(\mathbb R_+, \mathbb R) \to \mathbb R,...
Neo's user avatar
  • 141
1 vote
0 answers
44 views

Can Atlas-model minimize the distance between two stochastic processes?

Consider a filtered probability space in which there exist two independent Brownian motions $W$ and $B$. For every progressively measurable process $u=(u_t)_{t\ge 0}$ taking values in $[0,1]$, define ...
Higgs88's user avatar
  • 189
1 vote
0 answers
54 views

Lifting of non-reversible Markov chains for convergence acceleration

Background and motivation Let $(\Omega, \pi)$ be a finite state space with a stationary distribution $\pi$. Consider an ergodic Markov chain on $\Omega$ with transition matrix $P$ that is irreducible ...
Francis Fan's user avatar
1 vote
0 answers
69 views

Approximation by Staircase Processes and $L^2$ Convergence of Malliavin Derivatives

Let $(x_s)_{s\in[0,T]}$ be a stochastic process such that, for every $s\in[0,T]$, $$ x_s \in \mathbb{D}^{1,2}(\mathbb{R}), $$ and assume $$ \mathbb{E}\left[\int_0^T |x_s|^2\,ds\right] < \infty, \...
thibault_student's user avatar
1 vote
0 answers
72 views

Generalized Malliavin Chain Rule

Let $ E $ be the Banach space of continuous functions on $[0, T]$, equipped with the supremum norm. Let $ \sigma : E \to \mathbb{R} $ be a function of class $ C^1 $ (Fréchet differentiable). Let $ X = ...
thibault_student's user avatar
1 vote
0 answers
58 views

Is this also known as BDG inequality?

Let $W=(W_t)$ be a real-valued Brownian motion on some filtered probaiblity space. Let $H=(H_t)$ be a progressively measurable process taking values in some Hilbert space $\mathcal H$, endowed with ...
Philo18's user avatar
  • 111
2 votes
1 answer
101 views

Pointwise estimate in Ito isometry

Let $W$ be a classical Wiener process on $[0,1]$ and let $$ \mathcal{I}\colon a\mapsto \int_0^1a(t) dW(t) $$ be the stochastic integral with respect to $W$. Ito isometry states that $\mathcal{I}$ is ...
Pavel Gubkin's user avatar
4 votes
0 answers
122 views

Localized Yamada–Watanabe

I wonder if a Localized Yamada–Watanabe theorem up to a stopping time exists. Here is more details: Let $(\Omega,\mathcal F,(\mathcal F_t)_{t\ge 0},\mathbb P)$ be a filtered probability space ...
thibault_student's user avatar
6 votes
1 answer
480 views

What curve maximizes the Levy area?

The Levy area of a $C^1$ curve $f:[0,\infty)\to \mathbb R^2$ is defined to be $$L_f(t):=\int_0^t (f_1(s)f_2'(s)-f_2(s)f_1'(s))ds. $$ It is called Levy area because by Green's theorem, it is twice the ...
user479223's user avatar
  • 2,221
2 votes
1 answer
261 views

A generalization of freezing lemma

Let $\mathscr G⊆\mathscr F$ be a sub-$\sigma$-algebra, $X\in \mathbb{L}^0(\mathscr G,\mathbb R^d)$, $\varphi : \mathbb R^d×\Omega→\mathbb R$ be bounded and $B(\mathbb R^d)×F$ -measurable. Assume for ...
nemooooooo's user avatar
3 votes
0 answers
46 views

General Conditions for NFLVR

Background: An $\mathbb{R}^d$-valued process $Y_{\cdot}=(Y_t)_{t \ge 0}$ is called a $\sigma$-martingale if there exists some $\mathbb{R}^d$-valued martingale $M_{\cdot}$ and a $\mathcal{F}_{\cdot}^M :...
Mathematical-Semi_N00b's user avatar
0 votes
0 answers
87 views

Piecewise linear approximation: time-independent renormalization constant

We are interested in the piecewise linear approximation of the $\Phi^4_d,d=2,3$ model, interpreted in the mild sense: $(\partial-\Delta)\phi=\phi^3+\xi.$ for this kind of approximation, how to define ...
mathex's user avatar
  • 607
1 vote
0 answers
110 views

Lattice and piecewise approximation of SPDE

This question concerns lattice & piecewise linear approximation (version of Wong-zakai theorem). Regularity structures allowed to tackle these topics for several SPDE, for example: https://arxiv....
mathex's user avatar
  • 607
9 votes
1 answer
171 views

Which functions preserve semimartingality?

Let $n,m\in \mathbb{N}_+$, $f:\mathbb{R}^n\to \mathbb{R}^m$ be a continuous function, and $X_{\cdot}=(X_t)_{t\ge 0} := M_{\cdot}+A_{\cdot}$ be a semimartingale. Is there a characterization of when $...
AB_IM's user avatar
  • 4,942
1 vote
1 answer
97 views

Kolmogorov continuity theorem for Lipschitz continuity

Kolmogorov's continuity theorem states that if for a $\mathbb{R}$--valued process $(X_t)_{t\geq 0}$ we have $$\mathbb{E}\left[\vert X_t-X_s\vert^\alpha \right] \leq K \vert t-s\vert^{1+\beta},$$ then ...
David's user avatar
  • 248
3 votes
0 answers
68 views

Convergence question on quadratic variation

Let $(X_t)_{t \in [0,2\pi]}$ be a continuous Ito martingale. Let $ t_1, \ldots, t_N, t_{N+1} $ be a discretization grid on $[0,2\pi]$. Let s $\in [0,2\pi]$. I would like to show the following ...
tayeb_bs's user avatar
  • 161
1 vote
0 answers
188 views

Probability distribution function on a sphere in d-dimensions

I was reading this post Scalar product of random unit vectors and I cannot understand how the density is obtained. We start by stating that $X$ and $X'$ are uniformly distributed on the sphere — which ...
RKerr's user avatar
  • 139
2 votes
0 answers
188 views

Integration by parts for Functional Ito Calculus

I briefly recall the definition of Functionnal Ito Calculus, developped by Bruno Dupire in https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1435551. The paths we consider are càdlàg (right ...
tayeb_bs's user avatar
  • 161
1 vote
1 answer
125 views

Kolmogorov continuity theorem when the index set is an arbitrary subset of $\mathbb R^d$

$ \newcommand{\bR}{\mathbb{R}} \newcommand{\bE}{\mathbb{E}} $ I have used the following version of Kolmogorov Continuity Theorem in this thread. Lemma Let $(E, \mathrm{d})$ be a Polish space and $S$ ...
Akira's user avatar
  • 1,163
0 votes
0 answers
72 views

Substitute deterministic with random data

$ \newcommand{\bR}{\mathbb{R}} \newcommand{\bN}{\mathbb{N}} \newcommand{\bP}{\mathbb{P}} \newcommand{\bE}{\mathbb{E}} \newcommand{\coloneq}{:=} \newcommand{\colon}{:} \newcommand{\rD}{D} \newcommand{\...
Akira's user avatar
  • 1,163
0 votes
0 answers
102 views

How much can bounded volatility bias a martingale's moving-average exit?

Let $(W_t)_{t\ge 0}$ be a one-dimensional standard Brownian motion on its natural filtration $(\mathcal{F}_t)$. For fixed constants $$0 < \underline{\sigma} < \overline{\sigma} < \infty,$$ ...
Alex Cooper's user avatar
2 votes
0 answers
315 views

A kind of generalization of Doob Dynkin lemma for Stochastic processes

My question is how to prove the second part of the theorem in the picture above. The first part can be easliy proved by using the Doob-Dynkin lemma and the monotone class theorem,but the second part ...
nemooooooo's user avatar
2 votes
2 answers
564 views

What does stochastic quantization have to do with quantization?

Let me define the way I understand stochastic quantization. Stochastic quantization to me is a way of constructing infinite dimensional measures with a given "density". Suppose we are given ...
user479223's user avatar
  • 2,221
4 votes
0 answers
96 views

Use of left-continuous with right-limits processes in singular stochastic control

I am trying to wrap my head around some features of singular stochastic control, and one of the things that has been bothering me is that authors sometimes take the singular control to be left-...
Caio Lins's user avatar
  • 151
1 vote
1 answer
89 views

stochastic integral on the canonical space

Let $C[0,T]$ be the space of all continuous functions on $[0,T]$. Let $X$ be the coordinate mapping process, that is $$X_t(\pi)=\pi_t,\;\forall \pi\in C[0,T].$$ Finally, let $\mathbb{F}$ be the ...
tfatree's user avatar
  • 111
3 votes
0 answers
200 views

Simple way to simulate SDE solutions?

To simulate an Ito diffusion, $$dX_t = f(t,X_t)dt + g(t,X_t)dW_t,$$ you can discretize this in time by using an equidistant partition $(t_0^N,t_1^N,\dots,t_N^N)$ of the time interval $[0,T]$. The ...
Riemann's user avatar
  • 708
1 vote
0 answers
84 views

Generalization of Fernique theorem for SDE

Let $(\Omega,\mathcal{F},\mathbb{P})$ a probability space and $(W_t)_{t \ge 0}$ a standard Brownian motion, with $\mathbb{F}$ is natural filtration. Let $(X_t)_{t \ge 0}$ a continuous adapted process ...
arthur_elbrdn's user avatar
0 votes
0 answers
128 views

Nelson estimate for $:\phi^2:$ in where $\phi$ is the $3d$ Gaussian free field

If $\phi$ is the Gaussian free field on the $2$-torus then the Nelson estimate says that $e^{-\langle :\phi^n:,z\rangle}\in L^p$ for all $p\geq 1$, smooth $z$, and where $:\phi^n:$ is the Wick power. ...
user479223's user avatar
  • 2,221
2 votes
1 answer
369 views

Bound on Wick power of the Gaussian free field

Let $\phi$ be the Gaussian free field and $\phi^{:k:}$ its Wick power. Is it true that $\|\phi^{:k:}\|_{C^{-\alpha}}\lesssim \|\phi\|_{C^{-\alpha}}^k?$
user479223's user avatar
  • 2,221
2 votes
0 answers
118 views

Understanding a lemma in some notes by Da Prato on the derivative of Wick powers

I am reading http://eprints.biblio.unitn.it/1189/1/UTM711.pdf Lemma 5.1 which is about Wick powers of the Gaussian free field. They claim that for almost every $\phi,\psi$ we have for $g(\varepsilon):=...
user479223's user avatar
  • 2,221
2 votes
0 answers
65 views

A class of non-local linear Cauchy problem

Define an operator, \begin{align*} \mathcal{B}^Q f(t,x,v) \triangleq & \frac{\partial f(t,x,v)}{\partial t} + \left(r - q - \lambda^* \bar{\mu}^* - \frac{v}{2}\right) \frac{\partial f(t,x,v)}{\...
hua's user avatar
  • 31
4 votes
1 answer
158 views

Reference for density of dynamic $\Phi_2^4$ SPDE wrt SHE

I am interested in the SPDE $$\partial_t u=\Delta u-u^3+\xi$$ on the $2$ torus $\Lambda$, started at the invariant measure $\mu$ on $C^{-\alpha}$. It is well known that $\mu$ has a density with ...
user479223's user avatar
  • 2,221
0 votes
0 answers
46 views

BSDE not having a local maxima at hitting time almost surely

Let us have an FBSDE: \begin{align*} dX_t &= b(t,X_t)dt + \sigma(t,X_t)dB_t, \quad X_0 = x \\ dY_t &= -f(t,X_t)dt + Z_tdB_t, \quad Y_T = g(X_T) \end{align*} where all the coefficients satisfy ...
Bombadil's user avatar
  • 131
0 votes
1 answer
119 views

Why do 1D diffusion exit times scale with the square of interval width?

Migrated from the MSE. Let $W_t^y$ denote a one-dimensional Brownian motion with initial position $y\in(a,b)$. Furthermore, let $\tau_{a,b}^y=\inf\{t\geq 0:W_t^y\notin(a,b)\}$ denote the exit time of ...
Aaron Hendrickson's user avatar
2 votes
1 answer
139 views

Conditional hitting time distribution for OU process between two fixed barriers

For an the OU process $\mathrm dX_t=-\omega X_t\,\mathrm dt+\omega\mathrm dW_t$ with $X_0=x_0$ and $L<x_0<U$ let $$ \tau=\inf\{t>0:X_t\notin(L,U)\} $$ denote the hitting time of either ...
Aaron Hendrickson's user avatar
2 votes
2 answers
301 views

KPZ fixed point

It was conjectured, later proved that KPZ converges to a universal limit called the KPZ fixed point. Are there analogue of this for other classes of SPDE like the stochastic quantization equation?
mathex's user avatar
  • 607
2 votes
0 answers
176 views

Continuity of Wick powers of the GFF

Let $h$ be the Gaussian Free Field on the $2$-torus $\mathbb{T}^2$. It is well known that one can construct the Wick power $:h^k:$ as a deterministic functional of $h$ through Wick renormalization. Is ...
user479223's user avatar
  • 2,221
9 votes
0 answers
356 views

The "easy to show" direction of Hairer's $\Phi_3^4$ is Orthogonal to GFF

I was reading the note https://hairer.org/Phi4.pdf where Hairer shows that the $\Phi_3^4$ measure is orthogonal to the GFF. He defines the following set $$A_\psi:=\{\Phi:\lim_{n\to\infty} e^{-3n/4}\...
user479223's user avatar
  • 2,221
0 votes
0 answers
54 views

Conditions on SDE coefficients for well-posedness of Fokker-Planck equation

Consider the following $n$-dimensional Ito-SDE: \begin{align} dX_t = \mu(X_t,t)dt + \sigma(X_t,t)dW_t \end{align} What are the necessary regularity conditions on $\mu$ and $\sigma$ to ensure that the ...
GigaByte123's user avatar
2 votes
1 answer
384 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
  • 1,163
1 vote
0 answers
74 views

$\alpha$ 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
1 vote
0 answers
132 views

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{...
user1172131's user avatar
0 votes
1 answer
93 views

Reconstruction of law of diffusion process from call option values

Let $X_{\cdot}$ be a $1$-dimensional diffusion process. If I know the value of the $$\big\{\mathbb{E}[\max\{X_t,c\}\big| X_0 =x\big]:\, c\in \mathbb{R} \text{ and } \,\, t\in (0,1] \big\}.$$ Then, ...
AB_IM's user avatar
  • 4,942
2 votes
0 answers
74 views

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
2 votes
0 answers
141 views

Can an SDE be made to follow the flow lines of a vector field?

Let $V: \mathbb R^n \to \mathbb R^n$ be a Lipschitz vector field. Consider a one dimensional Brownian motion $W$ and the SDE $$dX_t = V(X_t) \, dW_t,$$ where we identify $V(X_t) \in \mathbb R^n$ with ...
Nate River's user avatar
  • 9,438
3 votes
0 answers
345 views

Any rigorous construction of $\phi^4$ theories without the mass term in the Lagrangian? (revised)

There are various papers on rigorous construction of massive $\phi^4$ theories in $2$ or $3$ Euclidean dimensions. In 2D, there are in fact more general results such as this one by Glimm, Jaffe and ...
Isaac's user avatar
  • 3,745
0 votes
0 answers
77 views

Bound on the radon-nikodym derivative between two stochastic processes at a time point

I have two stochastic differential equations on $\mathbb{R}^d$ adapted to the same filtration evolving for finite time $t\in [0, T]$ at the same start distribution: \begin{align*} dX_t &= b(t, X_t)...
optimal_transport_fan's user avatar
2 votes
0 answers
74 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
  • 249
4 votes
1 answer
133 views

Expectation bounds on supremum of family of martingales

Suppose I fix a filtered probability space $(\Omega, \mathcal{F}, \mathbb{F}, P)$ and on it a Brownian motion $B$. Let $\tau_\alpha$ denote a set of stopping times which satisfies $\sup_\alpha \tau_\...
qp212223's user avatar
  • 143
1 vote
0 answers
87 views

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
  • 57

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