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1 vote
2 answers
381 views

Sum of i.i.d. random variables is a Markov process

Let $\{Y_j\}_1^\infty$ be i.i.d. real random variables on a common probability space. $\forall n\in\mathbb{N}$, define $X_n = x_0 + \sum_{j=1}^nY_j$, where $x_0$ is a constant. Also define $X_0=x_0$. ...
RunningMeatball's user avatar
9 votes
2 answers
426 views

If $Y\sim\mu$ with probability $p$ and $Y\sim\kappa(X,\;\cdot\;)$ otherwise, what's the conditional distribution of $Y$ given $X$?

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space $(E,\mathcal E)$ be a measurale space $\mu$ be a probability measure on $(E,\mathcal E)$ $X$ be an $(E,\mathcal E)$-valued random ...
0xbadf00d's user avatar
  • 13.9k
0 votes
0 answers
90 views

If $X$ is a Feller process, then $\sup_{x\in E}\text E\left[d(X_s,X_t)\wedge1\mid X_0=x\right]\xrightarrow{s-t\to0}\to0$

Let $(E,d)$ be a compact metric space, $(T(t))_{t\ge0}$ be a strongly continuous contraction semigroup on $C(E)$, $(\Omega,\mathcal A,\operatorname P)$ be a probability space, $(X_t)_{t\ge0}$ be an $E$...
0xbadf00d's user avatar
  • 13.9k
0 votes
1 answer
222 views

Definition of Factorization of Conditional Expectation

I believe this is a very silly question or I am overlooking something fairly simple but I cannot make sense of the factorization of the conditional expectation in a very concrete application: I am ...
Fabian Werner's user avatar
1 vote
1 answer
940 views

Equivalent Definitions of the Markov Property

Assume we have a stochastic process $\{X_n\}_\mathbb{N}$ defined on some underlying probability space that takes values in another measurable space. One of the many definitions that I have seen of ...
user56628's user avatar
  • 313
1 vote
1 answer
193 views

If $(κ_t)_{t≥0}$ is the transition semigroup of a continuous Markov process, is $t↦(κ_tf)(x)$ continuous for all bounded continuous $f$ and fixed $x$?

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space $(\mathcal F_t)_{t\ge0}$ be a filtration on $(\Omega,\mathcal A)$ $E$ be a metric space $(X_t)_{t\ge0}$ be an $E$-valued right-...
0xbadf00d's user avatar
  • 13.9k
0 votes
1 answer
104 views

Equivalence of discrete definition of Markov property in the coutinuous case

In the book, Lectures from Markov Processes to Brownian Motion, it is stated that the oldest definition of Markov property is, for every integer $n\ge1$ and $0\le t_1<t_2<\cdots<t<u,$ and $...
Wei's user avatar
  • 183
1 vote
0 answers
47 views

Markov property for unbounded function

Let $(X_t)$ be a Markov process with respect to a filtration $\mathcal{F}_t$. Assume that $P(X_t>0 \, \forall t\geq 0) = 1 $. Denote $E_x$ the expectation under the measure where $X_0=x$. Is it ...
htd's user avatar
  • 1,774
1 vote
1 answer
79 views

Finite-dimensional conditional distributions of a Markov process

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space $I\subseteq\mathbb R$ $(\mathcal F_t)_{t\in I}$ be a filtration on $(\Omega,\mathcal A)$ $(E,\mathcal E)$ be a measurable space $X$ be ...
0xbadf00d's user avatar
  • 13.9k
1 vote
1 answer
255 views

Show some property of a Markov process

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space $I\subseteq\mathbb R$ $(\mathcal F_t)_{t\in I}$ be a filtration on $(\Omega,\mathcal A)$ $(E,\mathcal E)$ be a measurable space $X$ be ...
0xbadf00d's user avatar
  • 13.9k
1 vote
2 answers
122 views

Markov Property and FDDs

Let $X,Y$ be two discrete time $\mathbb{R}^n$-valued stochastic processes with the same finite dimensional distributions. It may be that $X,Y$ are defined on two different probability spaces. Now, if $...
jpv's user avatar
  • 2,031
0 votes
1 answer
77 views

Show that $ (e^{\alpha X_t} \int^ t_ 0 e ^{-\alpha X_u}du, t \geq 0) $ is a Markov process

I want to show that $ (e^{\alpha X_t} \int^ t_ 0 e ^{-\alpha X_u}du, t \geq 0) $ is a Markov process whereas $(\int^ t_ 0 e ^{-\alpha X_u}du, t\geq 0)$ is not. Here $X_t$ is a Levy Process and ...
na1201's user avatar
  • 630
1 vote
1 answer
497 views

ARCH(1) process is a Markov process

I have a question about the ARCH(1) process. Let $(\Omega, \mathcal F, P)$ be a probability space, let $(Z_t)_{t \in \mathbb Z}$ be a sequence of i.i.d. real-valued random variables with mean zero and ...
numerion's user avatar
  • 683
0 votes
1 answer
477 views

Conditional expectation of a Brownian motion

Let $B$ be a Brownian motion. Fix times $0 < r < t$. Write $\mathcal{D}$ for the space of paths traced out by continuous maps from $[0,t]$ to $\mathbb{R}$ with a suitable (e.g. Skorokhod) ...
Frank's user avatar
  • 3,884
1 vote
0 answers
395 views

Markov property - equivalent notions

Why are these different notions of the markov property equivalent: $$\forall A\in\mathcal{S}\qquad \mathbb{P}(X_t\in A|\mathcal{F}_s)=\mathbb{P}(X_t\in A|X_s)$$ $$\forall f:S\to\mathbb{R} \text{ ...
julbern's user avatar
  • 402

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