Questions tagged [markov-chains]

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Time-inhomogeneous Krylov-Bogoliubov Existence Theorem

I am interested in what is known about the application of the Krylov-Bogoliubov existence theorem to the time-inhomogeneous case, especially as it relates to an underlying random dynamical system (...
Gregory V.'s user avatar
3 votes
1 answer
45 views

Comparison of time until absorption for two absorbing Markov chains

Let $\{X_t, t \geq 0\}$ and $\{X_t', t \geq 0\}$ denote two markov chains on the same state space $\{1, ..., n+1\}$ with transition probability matrices $P$ and $P'$ respectively. Suppose that both ...
user675763's user avatar
-1 votes
0 answers
29 views

Methods for high-dimensional integration of joint PDFs over unbounded regions

I am currently grappling with an issue related to high-dimensional integration of joint Probability Density Functions (PDFs) over unbounded regions. The specifics of the problem are a bit intricate, ...
scmath's user avatar
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62 views

Convergence bounds for ergodic random walk

We are given a simple connected graph $G(V,E)$, where $V$ and $E$ denote the vertex and edge sets respectively. Let $G'(V,E')$ be the graph generated by $G$ by adding one self-loop edge for each ...
Penelope Benenati's user avatar
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0 answers
21 views

Langevin dynamics or stochastic gradient flow for grand canonical ensemble

We know that for a measure exp(-U(X)) (canonical ensemble), we can use the dynamic dX=-DU(X)+ noise to sample the measure as t goes to infinity. Is there any dynamic corresponding to the grand ...
Hausdorff's user avatar
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0 answers
42 views

About cutoff for quasi-random graphs

In this paper by Hermon, Sly and Sousi about mixing time of a random walk on a random graph, there is a concept of $\textit{regeneration edges}$ which I'm trying to understand. This is defined in page ...
Garfield's user avatar
  • 201
3 votes
1 answer
198 views

Spectral Radius and Spectral Norm for Markov Operators

My question concerns differences between the spectral radius $\rho$ and norm $\| \cdot \|$ of Markov operators in infinite-dimensional Banach spaces. This is far from my area of expertise, that is ...
Sam OT's user avatar
  • 540
1 vote
0 answers
72 views

Derive a closed-form expression of this recursive formula

$$\begin{equation} S(r,k) = f(r)S(0,k-1) + g(r)S(r+1,k-1) \end{equation}\ ,$$ where $r=0,1,2,\dots$ and $k=1,2,3,\dots$ . Also, $0<f(r)<1$ is an increasing function and $0<g(r)<1$ is a ...
K. Bountrogiannis's user avatar
0 votes
0 answers
26 views

Prove the explicit form of the ratio function in a Markov Chain

Let $(A_M^{\mathbb{Z}_+}, \Omega, P, \lambda)$ be a Markov Shift where $A$ is a finite alphabet set, $M$ is the admissibility matrix, $P = [P_{i, j}]_{i, j\in A}$ is a stochastic matrix that is ...
Sanae Kochiya's user avatar
2 votes
1 answer
185 views

When is a stationary measure of a Markov chain "exponentially localized"?

Here exponentially localized can be thought in a non-rigorous manner as a measure that is mostly supported on a sparse number of nodes. Some intuition can gained by thinking about a diffusion process, ...
Piyush Grover's user avatar
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1 answer
39 views

Diameter of the range of composition of random maps on the circle

My questions are related to the paper https://hal.science/hal-03933493v1 (accepted with corrections in Ergodic Theory and Dynamical Systems). I fix an irrational number $\theta \in [0,1[$. I define ...
Christophe Leuridan's user avatar
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0 answers
91 views

On the exponentiation of a stochastic matrix where the exponent is a function of matrix size

In this question, I asked about any arbitrary stochastic matrix $A(n)$ of the particular form $$A(n) = \begin{pmatrix} 1 & 0 & \cdots & 0\\ x_{21} & x_{22} & \cdots & 0\\ \...
Subhankar Ghosal's user avatar
0 votes
0 answers
46 views

The Rate of converging to the stationary distribution given a time in-homogenous but fast converging transition probabilities

Let $P_n$ be a sequence of transition probabilities and $X_n$ be the corresponding Markov chain. That is , $X_n=d_0P_1...P_{n}$, where $d_0$ is the initial distribution. Suppose each $P_n$ has its ...
Wei-Cheng Lee's user avatar
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0 answers
31 views

Fluctuation-dissipation theorem for Markov processes

In the context of particle systems of non-gradient types (see e.g. here, Step 2 on page 633), I recently encountered the concept of fluctuation-dissipation theorem (FDT). Since it is a major result in ...
Mushu Nrek's user avatar
4 votes
1 answer
230 views

Random walk visiting a cylinder infinitely often

I wonder whether a $d$-dimensional random walk $S_n$, generated by the infinite i.i.d. copies of X given by: $X=e_1=(1, 0, 0, ..., 0)$ (with probability $p_1$) $X=e_2=(0, 1, 0, ..., 0)$ (with ...
Hamid Enki's user avatar
8 votes
7 answers
964 views

One observation of special type of square matrix exponentiation

I was studying the following type of matrices, $$ A = \begin{pmatrix} 1 & x_{12} & \cdots &x_{1n}\\ 0 & x_{22} & \cdots &x_{2n}\\ \vdots\\ 0&\cdots&0&x_{nn} \end{...
Subhankar Ghosal's user avatar
0 votes
0 answers
57 views

Markov renewal process with varying waiting times: What does the past waiting time reveal?

In summary, I want to know how -- when generalizing the Markov renewal process to have different parameterized waiting times at different states -- the information of the last waiting time tells us ...
black's user avatar
  • 109
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0 answers
57 views

Gibbs with gradient Markov chain

I'm reading a paper where a Markov chain called "Gibbs with gradient" is used on discrete state spaces and I don't understand the transition probabilities of this Markov chain. This is ...
Garfield's user avatar
  • 201
1 vote
0 answers
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Sample complexity of estimating a doubly stochastic matrix

Let $P\in\mathbb{R}^{n\times n}$ be a doubly-stochastic matrix. That is: $$P(x,y)\geq 0,\quad \sum_xP(x,y)=1,\quad \sum_yP(x,y)=1.$$ I would like to know if lower and upper bounds on the sample ...
user134977's user avatar
2 votes
0 answers
49 views

Training an energy-based model (EBM) using MCMC

I'm reading this paper about training energy-based models (EBMs) and don't understand the parameters that we are training for? The part that is relevant to the question is in pages 1-4. Here is the ...
Garfield's user avatar
  • 201
3 votes
1 answer
310 views

Importance resampling with exponential weighting

Suppose that we have $$ \frac{p(x)}{q(x)} \propto \exp(\tau f(x)), $$ where we can sample from $q$ but not from $p$. Our goal is to generate a set of particles $\{x_i\}_{i=1}^n$ such that $n^{-1}\sum_{...
Minkov's user avatar
  • 1,107
2 votes
2 answers
205 views

Is there something like a "self-avoiding Markov chain" on a continuous space?

If stumbled accross self-avoiding walks. They seem to be deterministically generated, but from a quick google search term seem to be randomly generated variants. However, as far as I can see they are ...
0xbadf00d's user avatar
  • 131
0 votes
0 answers
111 views

Approximate range of Radon-Nikodym derivative in a dynamical system

Suppose $(X, G, \Omega, \mu)$ is a dynamical system where $(X, \Omega, \mu)$ is a Borel measure space and $G$ is acting on $X$ such that each group action $x\mapsto g\cdot x$ defines a measurable ...
Sanae Kochiya's user avatar
2 votes
1 answer
134 views

Joint irreducibility and aperiodicity of two independent Markov chains

Let $(X_i)_i, (Y_i)_i$ be two independent Markov chains on Polish state spaces $\mathcal{X}, \mathcal{Y}$ and with kernels $P, Q$. Suppose that they are both $\psi$-irreducible and aperiodic and have ...
Dasherman's user avatar
  • 211
1 vote
0 answers
39 views

Deducing differential equations from a time-continuous Markov chain via its rate matrix

I have only basic level knowledge of probability theory and I am researching in a different field. So please do not be too harsh on me if my question turns out to be silly. Let $(X, \Sigma, \mu)$ be a ...
Yaddle's user avatar
  • 371
0 votes
1 answer
81 views

Inhomogeneous Markov chains and the product-integral as a solution to the Kolmogorov forward equation

We have a inhomogeneous continous $K$-State Markov chain $X(t)$ with transition intensity matrix $Q(t)$. Therefore its entries are: $$q_{ij}(t)= \lim_{\delta \to 0} \frac{1}{\delta} \mathbb{P}(X(t+\...
Bloble's user avatar
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0 votes
1 answer
47 views

Skip-free random walks: recurrence and transience

Let us define a one dimensional random walk: for all $n\in\mathbb{N}$ $$ X_n:=\sum_{i=1}^nZ_i $$ with $Z_i$ i.i.d. random variables taking values in $\{-1,0,1,2,\dots\}$. This process is sometimes ...
lulli_'s user avatar
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1 vote
0 answers
22 views

How slowly can one be absorbed in the absorbing phase of the directed percolation universality class?

In absorbing state transitions on a lattice, one often considers "active" and "inactive" sites, with update rules describing how activity spreads or decays. When the lattice sites ...
user196574's user avatar
2 votes
1 answer
83 views

On the distance to the stationary distribution

A Markov Chain $M$ has only one stationary distribution $q$. For distribution $p$, with $D_{TV}(p,Mp)=x$, can we bound $D_{TV}(p,q)$? Clearly, $x=0$ implies $D_{TV}(p,q)=0$. Does general bound hold? ...
gondolf's user avatar
  • 1,443
0 votes
0 answers
29 views

Positivity of pseudo spectral gap of Markov chain

In this paper (https://projecteuclid.org/euclid.ejp/1465067185) a pseudo spectral gap is introduced of a time homogeneous, $\phi$-irreducible, aperiodic Markov chain on a Polish state space with ...
Dasherman's user avatar
  • 211
2 votes
0 answers
40 views

Right spectral gap of vector of two independent Markov chains

Let $(X_i)$ be a stationary Markov chain on $S$ (a potentially uncountable space with a Borel sigma algebra) with stationary distribution $\pi$ and transition kernel $P$. Let $(Y_i)$ be a stationary ...
Dasherman's user avatar
  • 211
2 votes
2 answers
212 views

Polynomial time mixing Markov chain for multimodal distribution

Is there a discrete space Markov chain, starting from a fixed state, whose stationary distribution is a multimodal distribution and that mixes in polynomial time? For example, Ising model on say a ...
Garfield's user avatar
  • 201
1 vote
0 answers
28 views

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
  • 131
2 votes
1 answer
225 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
  • 5,128
1 vote
2 answers
158 views

Connection between invariant measure and positive recurrence for continuum state space markov chain

Let $\{ X_n(\omega,x)\}_{n \ge 0}$ be a Markov chain with and underlying probability space $(\Omega,\Sigma,\mathbb{P})$ and state space $X= \mathbb{S}^1$. Suppose this markov chain admits unique ...
Giuseppe Tenaglia's user avatar
6 votes
1 answer
337 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
84 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
  • 131
0 votes
0 answers
29 views

Separable bivariate markov chain

Let $Z = (X,Y)$ be a discrete random variable, and let $X$ and $Y$ be independent. Consider a Markov chain $Z \xrightarrow{f_1} Z_1 \xrightarrow{f_2} \dots \xrightarrow{f_N} Z_N$ where each $f_n: \...
Cesare's user avatar
  • 189
4 votes
0 answers
141 views

Random walk on hexagonal lattice. First return to the origin

I'm trying to come up with the formula describing the number of paths on hexagonal lattice of length $2n$ that start at the origin $O$ and go back to $O$ but doing so for the first time at step $2n$ (...
A. G's user avatar
  • 245
0 votes
0 answers
42 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
  • 131
0 votes
0 answers
67 views

Determine the adjoint of the generator of a Markov semigroup

Let $(E,\mathcal E)$ be a measurable space and $$\mathcal E_b:=\{f:E\to\mathbb R\mid f\text{ is bounded and }\mathcal E\text{-measurable}\}$$ be equipped with the supremum norm; $(\kappa_t)_{t\ge0}$ ...
0xbadf00d's user avatar
  • 131
0 votes
1 answer
138 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
  • 129
0 votes
0 answers
34 views

Properties of the weak generator of a Markov semigroup

Let $(E,\mathcal E)$ be a measurable space $\mathcal E_b:=\{f:E\to\mathbb R\mid f\text{ is bounded and }\mathcal E\text{-measurable}\}$ $(\kappa_t)_{t\ge0}$ be a Markov semigroup on $E$ $(\mathcal D(...
0xbadf00d's user avatar
  • 131
2 votes
1 answer
162 views

If $X$ is a Markov process, can we find a mild assumption ensuring that $\frac1t\operatorname E_x\left[\int_0^tc(X_s)\:{\rm d}s\right]\to c(x)$?

Let $(E,\mathcal E)$ be a measurable space with $\{x\}\in\mathcal E$ for all $x\in E$ $\mathcal E_b:=\{f:E\to\mathbb R\mid f\text{ is bounded and }\mathcal E\text{-measurable}\}$ $(\kappa_t)_{t\ge0}$ ...
0xbadf00d's user avatar
  • 131
0 votes
1 answer
246 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
  • 131
0 votes
0 answers
69 views

Generator of the concatenation of two Markov processes

Let $(E_n,\mathcal E_n)$ be a measurable space with $\{x\}\in\mathcal E_n$ for all $x\in E_n$ and $\Delta_n\not\in E_n$ with $E_1\cap E_2=\emptyset$; $(\kappa^n_t)_{t\ge0}$ be a sub-Markov semigroup ...
0xbadf00d's user avatar
  • 131
1 vote
1 answer
256 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
  • 131
1 vote
0 answers
37 views

What's the autocovariance of 2 concurrent hidden states of a stochastic gaussian walk, using the Kalman filter?

A latent variable evolves as $x_t = x_{t-1} + e_t$ where $e_t$ has a gaussian distribution with 0 mean and a variance which defines the volatility of the overall process. Let $o_t$ be the noisy ...
Nick Gregory's user avatar
3 votes
1 answer
129 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
170 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

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