Questions tagged [brownian-motion]

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Brownian bridges as conditioning

Brownian bridges are interpreted as Brownian motions conditioned to start and end at given points. However, I have not seen a source that makes this precise, though this may be due to my own lack of ...
Nate River's user avatar
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1 vote
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283 views

SDE with non-degenerate diffusion visits every point

I am asking an extension of the question here for SDEs of the Ito form. Consider the SDE $dX_t =\sigma(X_t) dW_t$, where $W$ is a $d$-dimensional Brownian motion and $\sigma:\mathbb{R}^n\to \mathbb{R}...
John's user avatar
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2 votes
2 answers
122 views

Density of $W_t$ assuming it stayed above a line $L$

Let $W_t$ be a Wiener process with $W_0=0$, and let $L=\{at+by=c\}$ be a line with $c/b<0$ (i.e. the line crosses the $Y$-axis below $0$). Assume that $W_t$ stayed above $L$ up to time $T$. What is ...
user2520938's user avatar
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0 answers
204 views

Distribution of "occupation times" of Brownian Motion

Let $B_t(\omega)$ be a standard Brownian motion and let $A\in\mathcal{B}(\mathbb R)$ be a Borel set. I would like to find the distribution of $$Y_A(\omega):=\lambda(\{t\in[0,1]:B_t(\omega)\in A\})=\...
Andrea Aveni's user avatar
2 votes
1 answer
270 views

Relationship between heat kernel and Maxwell-Boltzmann distribution

There appears to be a connection between the heat kernel and Maxwell-Boltzmann distribution, but I have not seen this in the literature before. I'd appreciate any kind comments or corrections/...
Aleph1234's user avatar
1 vote
1 answer
182 views

Stochastic integral with non-anticipating integrand

Let $B$ be a Brownian motion. We want to define $$ \int_{0}^{t} B_{s} dB_{s} : = \lim_{n \to \infty } \sum_{k = 1}^{2^{n}t} B_{\frac{k-1}{2^{n}}}[ B_{\frac{k}{2^{n}}} - B_{\frac{k-1}{2^{n}}}]. $$ To ...
leobgg's user avatar
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2 votes
1 answer
144 views

Upper left Dini derivative of Brownian motion at a hitting time

Let $W$ be a standard Brownian motion. Define the upper left Dini derivative $D^-W$ by $$D^-W_t := \limsup_{h \to 0^-} \frac{W_{t+h} - W_t}{h}.$$ Fix $a > 0$, and define the stopping time $\tau$ by ...
Nate River's user avatar
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2 votes
1 answer
311 views

Full version of Cameron Martin theorem for Brownian motion

I’m looking for a version of the Cameron Martin theorem for the Brownian motion under random shifts. Here is the precise statement: Let $\mathbb P$ be Wiener measure on $\Omega := C[0, 1]$. Given a $C[...
Nate River's user avatar
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4 votes
2 answers
427 views

Converse of Itô's formula

Let $f,h,g$ be continuous functions and $B$ a real Brownian motion. We suppose that a.s. $$\forall u \in \mathbb{R}_+,f(B_u)=f(B_0)+\int_0^ug(B_r)dB_r+\frac{1}{2}\int_0^uh(B_r)dr.$$ Prove that $f$ is ...
mathex's user avatar
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Integrated square difference of Brownian bridges

I am doing some work with measuring the distance between distributions, and someone pointed out to me that I should look into calculating the integrated squared difference of two brownian bridge ...
John Smith's user avatar
3 votes
1 answer
445 views

Quadratic variation of supremum of brownian motion

I would like to know if in some book or how could I compute the quadratic variation of the supremum of the bronian motion $S_t=\sup_{s\in[0,t]}W_s$ where $W$ is a Brownian motion. I was thinking ...
Don P.'s user avatar
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2 votes
1 answer
258 views

What is the quadratic variation of $W(B(t))$?

Let $W$ be a two sided real valued Brownian motion. Let $B$ be a one sided Brownian motion independent of $W$. Consider the process $X(t)=W(B(t))$. Is the quadratic variation finite and if it is, what ...
user479223's user avatar
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1 answer
503 views

Forgery theorem: the Brownian motion stays close to any curve with positive probability

In a paper I am reading the authors claim that, if $B$ is a standard BM in $\mathbb{R}$ and $f\in C([0,1],\mathbb{R})$, then for any $\epsilon>0$ $$ \mathbb{P}(\sup_{t\in [0,1]}|B_t-f(t)|<\...
No-one's user avatar
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2 votes
1 answer
234 views

How does the conditional Wiener measure work?

In the theorem below $P_D$ means the heat kernel in the open $D \subset \mathbb{R}^m$ and $P_m$ is the heat kernel in whole $\mathbb{R}^m.$ I know absolutely nothing about what Brownian bridges are, ...
Ilovemath's user avatar
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1 vote
0 answers
92 views

Continuity of Wiener measure on open balls

Let $\mu$ be the Wiener measure on $C_0 [0, T]$, the space of continuous functions starting at $0$, under the sup norm. Question: Is it true that the function $r \mapsto \mu(B_r(x))$ is continuous in $...
Nate River's user avatar
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4 votes
1 answer
315 views

Lebesgue differentiation theorem at a stopping time

Let $W$ be a standard Brownian motion, and $\mathcal F_t$ it’s natural filtration. Let $H$ be a continuous process, adapted to $\mathcal F_t$ and integrable with respect to $W$. Question: Is it true ...
Nate River's user avatar
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1 vote
0 answers
89 views

Comparison of the numbers of particles surviving forever

Consider two $N\text{-}$particle systems as follows : for $1\le i\le N$, $$X^i_t=1+\int_0^t(b+\phi^i_s) \, ds+W^i_t \quad\mbox{and} \quad Y^i_t=1+ct+W^i_t,\quad \forall t\ge 0,$$ where $c>b>0$ ...
GJC20's user avatar
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1 vote
1 answer
195 views

Bernoulli trials with small dependencies: asymptotics (central limit theorem, law of the iterated logarithm)

Let $\{X_k\}$ be a sequence of random variables, with $X_k\in\{+1, -1\}$ for $k>0$, generated as follows. First, define $S_n=X_1+\dots +X_n$, with $X_0=S_0=0$, and let $0<\beta<\frac{1}{2}$. ...
Vincent Granville's user avatar
0 votes
1 answer
206 views

Step in proof of Itô formula

I am reading a book on stochastic processes. The author proved Itô formula for $f(t,w(t))$ where $w(t)$ is brownian motion with filtration $F_t$. Then he wants to prove Itô formula for $x(t)=a(t)+b(t)...
Random Number's user avatar
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1 answer
86 views

Is this expectation $\mathbb E\big[{\bf 1}_{\{x+\inf_{0\le t\le 2}W_t>0\}}(W_{\tau}-y)^+\big]$ strictly positive?

Let $(W_t)_{t\ge 0}$ be a standard Brownian motion and $\tau$ be a stopping time lying in $[1,2]$. For $x, y>0$, can we show $$\mathbb E\big[{\bf 1}_{\{x+\inf_{0\le t\le 2}W_t>0\}}(W_{\tau}-y)^+\...
GJC20's user avatar
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0 votes
1 answer
129 views

Does the convergence of $f_n$ imply the convergence of $\mathbb P[\inf_{0\le s\le t}(W_s-f_n(s))\le 0]$?

Let $(f_n)_{n\ge 1}$ be a sequence of non-decreasing and continuous functions defined on $\mathbb R_+$ and taking values in $[0,1]$. Further, for each $t\ge 0$, $n\mapsto f_n(t)$ is non-decreasing. ...
user avatar
0 votes
1 answer
121 views

Is this set negligible?

Let $(W_t)_{t\ge 0}$ be a standard Brownian motion starting at zero. Let $f: [0,1]\to\mathbb R$ be a function that is righ-continuous with left limits. Set $$A:=\left\{\omega\in\Omega: \inf_{0\le t\le ...
user avatar
2 votes
1 answer
162 views

Mean of log-normal variable when exponent is replaced by runnung maximum of Ito-integral

Let $W=\{W_t\}_{t\in[0;1]}$ be a real-valued Brownian motion, $\{F_t\}_{t\in [0;1]}$ the filtration generated by $W$, augmented with the nullsets. Let $\{\sigma_t\}_{t\in[0;1]}$ be a continuous and ...
Kolodez's user avatar
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1 vote
1 answer
120 views

Conditional probability distribution of a Brownian particle surviving forever

Consider the drift Brownian motion $X_t:=1+bt+W_t$, where $(W_t)_{t\ge 0}$ is a Brownian motion starting at zero. Set $\tau:=\inf\{t\ge 0: X_t=0\}$. Assume $b>0$, then $\mathbb P[\tau=\infty]>0$....
GJC20's user avatar
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1 vote
0 answers
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Book: Continuous martingale and Brownian motion

I am reading the book "continuous martingale and Brownian motion" 1995_Revuz. It reads the following proposition 3.2 in Chapter VII. That confused me a lot. Where $T_r, T_l$ is the hitting ...
Fractional analysics's user avatar
1 vote
1 answer
125 views

Characterization of Brownian motion: processes with right-continuous paths

I am looking for a reference with a proof for the following fact: If a right-continuous martingale $(X_r)_{ r \geq 0}$ is such that $X_0=0,(X^2_r-r)_r,(X_r^3-3rX_r)_r,(X_r^4-6rX_r^2+3r^2)_r$ are ...
mathex's user avatar
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0 votes
0 answers
66 views

Estimates on the density of hitting time for planar Brownian motion

Consider a polygon $\Pi \subset \mathbb{R}^2$, and let $T_{\Pi,x}$ be the (random) time a Brownian motion started at a point $x$ in its interior first crosses $\Pi$. For any such $\Pi$, do there exist ...
Rafael L. Greenblatt's user avatar
5 votes
2 answers
654 views

Endpoint of Brownian motion conditional on high maxima

Note: This question is closely related to an earlier question: A large noise limit. Let $W$ be a standard one dimensional Brownian motion. For every $\varepsilon > 0$, let $A_\varepsilon$ denote ...
Nate River's user avatar
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5 votes
1 answer
214 views

Second Skorokhod embedding in high dimensions

The first Skorokhod embedding theorem says that any random variable $X$ with $\mathbb E X=0$ and $\mathbb E X^2<\infty $ can be written as $X=B_{\tau }$ where $B$ is a Brownian motion and $\tau$ is ...
Dor's user avatar
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2 votes
1 answer
201 views

Chung's law of the iterated logarithm for Brownian motion

I am looking for a reference that gives a detailed proof of Chung's law of the iterated logarithm for Brownian motion: $$\liminf_{u\to +\infty}\sqrt{\frac{\ln(\ln(u))}{u}}\sup_{r \in [0,u]}|X_r|=\frac{...
mathex's user avatar
  • 399
1 vote
1 answer
112 views

For some $\alpha>0$, $ e^L=P\left(\exp(\alpha\sup_{|s-t|\le\delta}\frac{|B_s-B_t|^2}{|s-t|})<\infty\right) $?

I am reading one lecture note Dynamics for Spherical Models of Spin-Glass and Aging by Alice Guionnet. On page 124, it says that for some $\alpha>0$, $$ e^L=P\left(\exp(\alpha\sup_{|s-t|\le\delta}\...
Hermi's user avatar
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15 votes
0 answers
464 views

Quantitative Skorokhod embedding

The Skorokhod embedding theorem says that any random variable $X$ with $\mathbb E X=0$ and $\mathbb E[X^2]<\infty $ can be written as $X=B_{\tau }$ where $B$ is a Brownian motion and $\tau $ is a ...
Dor's user avatar
  • 723
6 votes
0 answers
240 views

Running maximum/supremum of Brownian motion: add information to make it a Markov process?

Let $B_t$ be standard Brownian motion, and let $M_t = \sup_{0 \leq s \leq t} B_s$ be its running maximum. $M_t$ is not a Markov process, but we can augment it with additional information to make it ...
Ziv's user avatar
  • 141
2 votes
1 answer
441 views

Feynman-Kac formula with non-zero boundary condition

Let $D \subseteq \mathbb{R}^m$ be a bounded domain. The Feynman-Kac formula for the heat equation with initial condition $u(t, x) = f(x)$ and boundary condition $u(t, x)|_{\partial D} = 0$ is given by ...
user478954's user avatar
1 vote
1 answer
72 views

What new fractional brownian motion (fBm) simulation methods have emerged since 2010? [closed]

I want to describe new methods for simulating fBm, as in the work of Coerjolly and Dieker, but new methods are not very easy to find.
PlaDJ's user avatar
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2 votes
1 answer
1k views

Alternate proof of Levy’s characterisation of Brownian motion

Levy’s characterisation theorem for Brownian motion states that for a local martingale $X$ with $X_0 = 0$, $X$ is a Brownian motion if and only if it has quadratic variation $\langle X, X \rangle_t = ...
Nate River's user avatar
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1 vote
1 answer
141 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
3 votes
1 answer
242 views

Intersection of Brownian motion and finite variation process

Let $B$ be a standard Brownian motion, and $A$ a process of finite variation on compacts almost surely, not necessarily adapted to the Brownian filtration. Question: Denoting by $\mathcal L$ the ...
Nate River's user avatar
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0 votes
0 answers
96 views

Why is Branching Brownian Motion log-correlated?

I need some references(or helps) on understanding why BBM is log-correlated. As I understand it, a random field on some metric space $V$ with distance $d$ is log-correlated if $$\mathbb{E}[X_u X_v]\...
MikeG's user avatar
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6 votes
1 answer
552 views

Is this a Brownian motion?

I am building a 2D stochastic process as follows. I start with a point $P_0=(0,0)$. Then $P_k=(X_k,Y_k)$ is defined as follows, for $k>0$: \begin{align} X_k & =X_{k-1}+R_k \cos(2\pi\theta_k) \\ ...
Vincent Granville's user avatar
1 vote
0 answers
88 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
8 votes
2 answers
1k views

The Wiener measure of an open set

There is so much written about the Brownian motion and I suspect the answers to the questions below are hidden in somewhere in the literature but I cannot find them Denote by $E$ the Banach space ...
Liviu Nicolaescu's user avatar
1 vote
1 answer
904 views

The joint distribution of the min and max of a Brownian [closed]

The joint distributions of the brownian and both the minimum and the maximum respectively are known. What could be said about the joint distribution of the maximum and the minimum of a Brownian ...
Averroes's user avatar
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2 votes
1 answer
133 views

Existence of a process on $\mathbb{R}^2$ that looks like two 'independent' brownian bridges $B_1(x)$ and $B_2(x)$ conditioned on $B_1(x)+B_2(x) > 0$

Consider any probability density function $f(x)$ that has mean zero variance one and say all finite moments. You may assume standard normal density if you like. Given $a_1,a_2>0$, I consider two ...
Sayan's user avatar
  • 123
1 vote
1 answer
2k views

First hitting time for a drifted Brownian motion

While the solution for a first hitting time for a drifted Brownian Motion is well known, I want to post a different question. Take a continuous-time stochastic process $X_t$ and define the the ...
DreDev's user avatar
  • 21
2 votes
1 answer
807 views

On the range of Holder continuity of Brownian motion

It is known that Brownian motion is almost surely locally Holder continuous, on a range that is random, i.e. depends on the particular path. This question explores the maximal range on which Brownian ...
Nate River's user avatar
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0 votes
0 answers
145 views

A convergence question in $L^2$ construction of Brownian motion

I feel confused with a particular step in the $L^2$ consturction of Brownian motion. Let $\{\xi_n \sim N(0,1)\}_{n\geq 1}$ be a sequence of i.i.d Gaussian random variables on some probability space $(\...
null's user avatar
  • 227
5 votes
1 answer
180 views

What is the distribution of $2M_1-B_1$ where $M_t$ is the maximum process of the the Brownian motion $B_t$

Let $B_t$ be a standard Brownian motion and let $M_t:=\sup _{s\le t}B_s$ be the maximum process. What is the distribution of $2M_1-B_1$? is it elementary?
Dor's user avatar
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0 votes
1 answer
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$\lim_{r \to +\infty}\frac{1}{\sqrt{2r \ln(\ln(r))}}(B_r-B_{\left \lfloor{\sqrt{2r \ln(\ln(r))}}\right \rfloor})= 0$ a.s.?

Consider a Brownian motion $B$ and let $f(r)=\sqrt{2r \ln(\ln(r))}.$ Is it true that $\lim_{r \to +\infty}\frac{1}{f(r)}(B_r-B_{\left \lfloor{f(r)}\right \rfloor})= 0$ a.s. ? If so, how to prove it? ...
Kurt.W.X's user avatar
  • 249
2 votes
0 answers
118 views

Conditional probability of maximum and minimum of Brownian motion

I want to ask for the following problem. Let $(W_t)_{t\geq 0}$ be the standard Brownian motion. For each $t>0$, we call $$m_t =\inf_{0 \leq s \leq t} W_s, \qquad M_t = \sup_{0 \leq s \leq t} W_s.$...
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