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If $(\kappa_t)_{t\ge0}$ is a Markov semigroup with invariant measure $μ$, under which assumption is $t\mapsto\kappa_tf$ measurable for $f\in L^p(μ)$?

Let $(E,\mathcal E)$ be a measurable space; $(\kappa_t)_{t\ge0}$ be a Markov semigroup on $(E,\mathcal E)$; $\mu$ be a finite measure on $(E,\mathcal E)$ which is subinvariant with respect to $(\...
0xbadf00d's user avatar
  • 167
7 votes
1 answer
391 views

Idempotent splitting for Markov kernels

Let $X$ be a standard Borel space and $e : X \to X$ a Markov kernel. Suppose that $e$ is idempotent, that is $e \circ e = e$, or written out using the Chapman-Kolmogorov equation, $$e(A|x) = \int_X e(...
Tobias Fritz's user avatar
  • 6,406
6 votes
1 answer
482 views

Average and max. hitting time to a specific vertex

Consider simple random walks that stop when reaching a given node $x$ in an undirected, unweighted and connected graph on $n$ nodes. Let $H(i,x)$ denote the (expected) hitting time from $i$ to $x$, ...
fawadria's user avatar
0 votes
1 answer
96 views

What is the significance of Blumenthal and Getoor's result on the boundedness of paths of a standard Markov process?

In the book Markov processes and Potential Theory of Blumenthal and Getoor we can find the following result: I don't understand the significance of this result. If I don't misinterpret the assertion, ...
0xbadf00d's user avatar
  • 167
0 votes
0 answers
72 views

If $\kappa$ is a Markov kernel with density $p$, does it generally hold $p(x,z)=\int p(x,y)p(y,z)\:{\rm d}y$?

Let $(E,\mathcal E)$ be a measurable space and $\kappa$ be a Markov kernel on $(E,\mathcal E)$. Assume that $$\kappa(x,B)=\int_Bp(x,y)\:\lambda({\rm d}y)\;\;\;\text{for all }(x,B)\in E\times\mathcal E$...
0xbadf00d's user avatar
  • 167
0 votes
1 answer
227 views

Constructing Markov chain

Let $(A_1,B_1)$ and $(A_2,B_2)$ be two random variables with the joint distributions $p_{A_1B_1}$ and $p_{A_2B_2}$, respectively. Moreover, we have $$\mathbb{P}[(A_1,B_1)\neq (A_2,B_2)]=\alpha.$$ Then,...
Math_Y's user avatar
  • 287
0 votes
1 answer
262 views

Construction of a Markov process with prescribed local behavior and state-dependent jump distribution

Let $(E,\mathcal E)$ be a measurable space $\mathcal E_b:=\left\{f:E\to\mathbb R\mid f\text{ is bounded and }\mathcal E\text{-measurable}\right\}$ $(\kappa_t)_{t\ge0}$ be a Markov semigroup on $(E,\...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
337 views

How can we determine the generator of this Markov process (at least formally)?

Let $(\Omega,\mathcal A)$ be a measurable space; $(E,\mathcal E)$ be a measurable space with $\{x\}\in\mathcal E$; $(Y_t)_{t\ge0}$ be an $(E,\mathcal E)$-valued time-homogeneous Markov process on $(\...
0xbadf00d's user avatar
  • 167
3 votes
1 answer
220 views

Carne-Varopoulos bound and stationary measure

Let $\Gamma$ denote the Cayley graph for a finitely generated group $G$, and let $p_n(x, y)$ denote the transition probability that a random walk starting at $x$ reaches $y$ at time $n$. A famous &...
user482846's user avatar
4 votes
1 answer
186 views

Population growth with good and evil children - probability good outnumbers evil

Consider the following discrete-time population model. We start with a single "good" individual who reproduces asexually into $k$ children and dies in the process. At generation $t=2$, those ...
user196574's user avatar
4 votes
1 answer
276 views

About non-reversible Metropolis Hastings Markov chain

I am reading a paper about constructing a non-reversible Metropolis Hastings Markov chain from a reversible one as described at a high level in paragraph $3$ of page $1$. But I don't understand how, ...
voila's user avatar
  • 201
3 votes
1 answer
474 views

Harmonic function and Markov chain

Let $X=(X_k)_{k \in \mathbb{N}}$ be a Markov chain with countable countable state space $S$ and transition matrix $P.$ Let $\mathcal{T}$ be the tail $\sigma$-field of $X:\mathcal{T}=\bigcap_{k \in \...
john's user avatar
  • 53
1 vote
1 answer
88 views

Stationary and limiting distributions

Consider a CT Markov Process $X=(X_t)_{t\geq0}$ with state space $E\in\mathbb{R}^N$. Are there any general conditions under which a stationary distribution $\pi$ for $X$ is also a limiting ...
Max's user avatar
  • 203
1 vote
0 answers
110 views

Birth and death process $M/M/\infty$

I was reading about continuous time Markov chains, when I met for the first time the theory of queue processes. In particular, I considered the following situation which I found on Wikipedia, called M/...
rime's user avatar
  • 445
3 votes
1 answer
373 views

Concentration of very dependent Markov chains

Consider the following simple Markov chain $ X_1\to X_2\to\cdots\to X_n $ where each $X_i$ is $\{-1,1\}$-valued and $X_1\sim\mathrm{Unif}(\{-1,1\})$ (such that the chain is stationary). The flip ...
Yihan Zhang's user avatar
1 vote
0 answers
89 views

Understanding the statements of Theorem 5.5 and Lemmas 5.6, 5.7 and 5.8 from a French paper by Yves Guivarc’h and Émile Le Page

I would like to understand the statement and the proof Theorem 5.5 just for the special case when $X$ is a single point from the paper “Simplicité de spectres de Lyapounov et propriété d’isolation ...
tattwamasi amrutam's user avatar
1 vote
1 answer
193 views

Identity for special case of Markov chain

Consider $P(X,Y)$ discrete and $Z = f(Y)$ with $f$ deterministic. The function $f$ identifies a partition of the elements of the alphabet $\mathcal{Y}$ of $Y$. Each outcome $z \in \mathcal{Z}$ is a ...
Cesare's user avatar
  • 189
8 votes
1 answer
691 views

Probabilistic proof for derivative of invariant distribution of a Markov chain

Let $P$ be an irreducible Markov matrix, and $\pi$ its stationary distribution. Let $D$ be a perturbation matrix which is zero except for two entries in row $r$: $$D_{rg}=+1 \qquad D_{r\ell}=-1.$$ Let ...
Ben Golub's user avatar
  • 1,068
2 votes
0 answers
123 views

Probability of a finite cylinder set in a free group

Let $\mathbb{F}_n$ be the free group (each elemen is in its reduced form) generated by the set $\Sigma_n = \{a_1, a_2, \cdots, a_n, a_1^{-1}, a_2^{-1}, \cdots, a_n^{-1}\}$ and let $e$ denote the ...
Sanae Kochiya's user avatar
0 votes
2 answers
804 views

Convergence of stationary distributions of a sequence of Markov Chains

I fairly new in the field of Stochastic Processes and Markov Chains so excuse my ignorance. My question is: If we have a sequence of Markov chains such that each one has a stationary distribution $\pi^...
dimoik's user avatar
  • 13
1 vote
1 answer
410 views

Occupation times for two-state Markov processes

Consider a two-state Markov process in continuous time, with states labelled $A$ and $B$. The transition rates for going from state $A$ to $B$, and state $B$ to $A$ are $\alpha$ and $\beta$ ...
StatisticalMechanic's user avatar
1 vote
1 answer
233 views

Random walks on Galton–Watson trees

I am working on a paper of Elie Aidekon : ‘Speed of the biased random walk on a Galton–Watson tree’ and have a question about one transformation in a proof: \begin{align} & 1+\frac{1}{1-\lambda}+\...
toni_iva's user avatar
1 vote
0 answers
181 views

Random walk on 2d lattice with obstacles

Consider a random work on $L=\mathbb Z^2$ endowed with obstacles (i.e each cell $(x,y)$ of $L$ may contain a obstacle, i.e the random walk halts whenever it hits such a cell). Let $P(x,y) = 1$ if cell ...
dohmatob's user avatar
  • 6,853
8 votes
3 answers
404 views

All two-point correlations equal to $0$, three-point correlation not $0$?

Let $a_1,a_2,a_3,\dotsc \in \{-1,1\}$ be a sequence. Suppose that, for all $j>0$ and all $\epsilon, \epsilon'\in \{-1,1\}$, the proportion of $n\geq 1$ such that $(a_n,a_{n+j}) = (\epsilon,\epsilon'...
H A Helfgott's user avatar
  • 20.2k
1 vote
0 answers
332 views

Markov chains with drift

We consider a Markov process $X$ on a finite set $\mathcal{X} (\neq \emptyset)$. Basically, $X$ is associated with a generator of the following form \begin{align*} Af(x)=\lambda(x)\sum_{ y\in \mathcal{...
sharpe's user avatar
  • 721
2 votes
1 answer
101 views

Preservation of the Markov Property under Conditioning

Let $(X_t,Z_t)_t$ be an $\mathbb{R}^{n}\times \mathbb{R}^m$-valued time-homogeneous Markov process on a filtered probability space $(\Omega,\mathcal{F},(\mathcal{F}_t)_t,\mathbb{P})$ with transition ...
Joe_Affine's user avatar
4 votes
2 answers
683 views

Random walk on $n$-dimensional cube

Consider a symmetric random walk along the edges of an $n$-dimensional unit cube. At each time step, a particle located at a particular vertex $(a_1, \ldots, a_n)$ moves to an adjacent neighbor each ...
user avatar
1 vote
0 answers
75 views

Stationary distribution of a Memoryless 2-type priority queue

I have come across the following priority queue, which seems quite natural to me. A single queue with 2 types of costumers, independent Poisson arrivals and Poisson services. First class costumers ...
gidi's user avatar
  • 61
2 votes
1 answer
134 views

The reference on Markov chains uncovering the power of the subject in a better way for a working macro-economist

This is by no means a research question. But asking here I hope for the most expert opinion. A friend of mine, who is a working economist, asked me for advice about a book which uncovers wealth and ...
Evgeny Kuznetsov's user avatar
1 vote
2 answers
228 views

Is a linear combination of Markov generator a Markov generator?

Let $X$ be a compact metric set and $\mathcal{C}(X)$ be the set on continuous real functions over $X$ endowed with the supremum norm $\|\cdot\|_{\infty}$. Let $\Omega_1$ and $\Omega_2$ be two Markov ...
G. Panel's user avatar
  • 449
-2 votes
1 answer
181 views

Stationary distribution of a weighted directed acyclic graph

Is there any way to calculate the equilibrium (stationary) distribution for a weighted directed acyclic graph? Some references emphasized adjacency matrix to be symmetric. https://arxiv.org/abs/1012....
Mehdi Nmz's user avatar
2 votes
1 answer
176 views

Monotonicity of Dirichlet form of Markov chain

Consider a continuous-time, irreducible Markov chain $X_t$ on a finite state space $E$. Assume the jump rates are $R(x,y)$ for $x,y\in E$, the generator is $L$, i.e for any function $f$ on E, $$Lf(x)=\...
Tiago's user avatar
  • 59
0 votes
0 answers
83 views

Constrained MDP

I have a question that is an extension of this one. My question is: Can we say that for every policy, there exists a deterministic policy in case of a finite-state, finite-action infinite-horizon ...
user812951's user avatar
1 vote
0 answers
152 views

Harnack inequalities for Markov chains

We consider a (continuous time) Markov chain $X=(\{X_t\}_{t \ge 0},\{P_x\}_{x \in V})$ on a finite set $V$. We assume moreover that $V$ is embedded into $\mathbb{R}^d$. The generator $\mathcal{L}$ of $...
sharpe's user avatar
  • 721
0 votes
1 answer
109 views

Sets of invariant measures of Markov operators

A family of Markov operators $P_i \colon C \to C, i \in I$ is given. Let $V_i$ be the set of the $P_i$-invariant measures. Is there any result in the literature about a necessary and sufficient ...
Miklos Pinter's user avatar
0 votes
0 answers
85 views

If $W$ is a Markov chain and $N$ is a Poisson process, then $\left(W_{N_t}\right)_{t\ge0}$ is Markov

Let $(\Omega,\mathcal A,\operatorname P)$ be a probability space, $(E,\mathcal E)$ be a measurable space, $(W_n)_{n\in\mathbb N_0}$ be a time-homogeneosu Markov chain on $(\Omega,\mathcal A,\...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
154 views

If $L_t=\sum_{i=1}^{N_t}Y_i$ is a compound Poisson process, then $\left|\left\{s\in[0,t]:\Delta L_s\in B\right\}\right|=\sum_{i=1}^{N_t}1_B(Y_i)$

Let $H$ be a $\mathbb R$-Hilbert space, $\mu$ be a finite measure on $\mathcal B(H)$ with $\mu(\{0\})=0$ and $(L_t)_{t\ge0}$ be a $H$-valued càdlàg Lévy process on a probability space $(\Omega,\...
0xbadf00d's user avatar
  • 167
1 vote
0 answers
276 views

Path dependent Markov property

Let's consider a function $\Psi\in \mathcal{C}_B(\mathcal{C}[t,T])$ continuous and bounded \begin{align*} \Psi \colon \mathcal{C}[t,T] \longrightarrow [0,+\infty) \end{align*} Then my question is:...
defex95's user avatar
  • 159
1 vote
1 answer
183 views

finiteness of moments of the stationary distribution of a Markov chain

I have a Markov chain $\{X_k\}_{k\geq 0}$ on $\mathbb{R}$. The corresponding probability density functions satisfy $$ f_{k+1}(t) = \int_{-\infty}^\infty \Psi(t,\tau)f_k(\tau)\,d\tau,\qquad k=0,1,2,\...
Laurent Lessard's user avatar
4 votes
0 answers
61 views

Mixing times for the exclusion process with rejection

Consider the following Markov chain on $k$-subsets of $\{1,\ldots, L\}$, equivalently, sequences $x\in \{0,1\}^L$ with $k$ 1's. Let $p_1,\ldots, p_L\in (0,1)$ and $q_i=1-p_i$. At each step, choose an ...
Holden Lee's user avatar
2 votes
1 answer
114 views

Strong Data Processing Inequality for capped channels

Let $X$ and $Y$ be two $\rho$ correlated Gaussian vectors, such that $X,Y\sim N(0,1)^n$ and $E[X_iY_i]=\rho$. Let $M_X = f(X)$ and $M_Y = f(Y)$ be $k$-bit functions of $X$ and $Y$, that is $H(X)=H(Y)=...
Thomas Dybdahl Ahle's user avatar
1 vote
0 answers
61 views

Convergence of empirical measure to Mc-Kean Vlasov equation for mean-field model with jumps

I am interested in the following mean-field model introduced in the reference below: There are $N$ particles. At each instant of time, a particle's state is a particular value taken from the finite ...
SID A's user avatar
  • 31
2 votes
0 answers
175 views

Representing a continuous time-inhomogeneous Markov chain by a stochastic integral

I am interested in the following mean-field model introduced in the reference below: There are $N$ particles. At each instant of time, a particle's state is a particular value taken from the finite ...
SID A's user avatar
  • 31
1 vote
1 answer
189 views

If a Markov semigroup is eventually contractive, can we conclude that it admits a unique invariant measure?

Let $E$ be a separable $\mathbb R$-Banach space, $\rho$ be a complete separable metric on $E$, $\operatorname W_\rho$ denote the Wasserstein metric of order $1$ associated to $\rho$, $\mathcal M_1(E)$ ...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
173 views

Spectral gap of a Markov chain on the nonnegative integers

Let $\lambda_k,\mu_k\in\mathbb R_{\ge0}$ $(k\ge1)$ be nonnegative real numbers such that $\sum_{k=1}^\infty k\lambda_k<\infty,$ let $S=\mathbb Z_{\ge0}$ be the nonnegative integers, let $T=\mathbb ...
xFioraMstr18's user avatar
1 vote
1 answer
306 views

English translation of a Russian paper by Gordin and Lifšic

Unfortunately I can't read Russian, I was wondering if there is an English translation of this paper “The central limit theorem for stationary Markov processes”, Dokl. Akad. Nauk SSSR, 239:4 (1978), ...
Eduardo's user avatar
  • 757
1 vote
2 answers
242 views

Extension of spectral gap inequality in Wasserstein distance

Let $E$ be a separable $\mathbb R$-Banach space, $\rho_r$ be a metric on $E$ for $r\in(0,1]$ with $\rho_r\le\rho_s$ for all $0<r\le s\le1$, $\rho:=\rho_1$, $$d_{r,\:\delta,\:\beta}:=1\wedge\frac{\...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
90 views

How does one define the gradient of a Markov semigroup?

In the context of functional inequalities for Markov semigroups $(\mathcal P_t)_{t\ge0}$, what is one denoting by $\nabla\mathcal P_tf$? For example, I've found the following assumption in this paper: ...
0xbadf00d's user avatar
  • 167
1 vote
1 answer
175 views

Existence of Markov chain on nonnegative integers with specified rates

Let $\lambda_k,\mu_k\in\mathbb R_{\ge0}$ $(k\ge1)$ be nonnegative real numbers, let $S=\mathbb Z_{\ge0}$ be the nonnegative integers, let $T=\mathbb R_{\ge0}$ be the nonnegative real numbers and ...
xFioraMstr18's user avatar
2 votes
1 answer
205 views

Eigenspace of Gaussian Markov operator

Consider the (one-dimensional) Gaussian distribution $Q := N(\nu,\tau^2)$ and the (Gaussian) Markov operator \begin{equation*} \begin{array}{rccc} R : & L_1(\mathbb{R},\mathcal{B}(\mathbb{R}),Q) &...
Henning's user avatar
  • 123

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