question about the expected recurrence times to states
$begingroup$
- Consider a finite Markov Chain $R$ on the state space ${0,1,2,cdots, N}$ with transition probability matrix $P=|P_{ij}|_{i,j=0}^N$ consisting of three classes ${0,1,2,cdots,N-1}$ and ${N}$ where $0$ and $N$ are absorbing states, both accessible from $k=1,cdots,N-1$ and ${1,2,cdots,N-1}$ is a transient class. Let $k$ be a state satisfying $0<k<N$. We define a auxiliary process $R$ called "the return process" by altering the first and last row of $P$ so that $P_{0k}=P_{Nk}=1$ and leave the other rows unchanged. The return process $R$ is clearly irreducible. Prove that the expected time until absorption $u_k$ with initial state k in the $R$ process equals $1/(pi_0+pi_N)-1$ where $pi_0+pi_N$ is the stationary probability of being in state $0$ or $N$ for the R process.
Hint: Use the relation between stationary probabilities and expected recurrence times or states
stochastic-processes
$endgroup$
add a comment |
$begingroup$
- Consider a finite Markov Chain $R$ on the state space ${0,1,2,cdots, N}$ with transition probability matrix $P=|P_{ij}|_{i,j=0}^N$ consisting of three classes ${0,1,2,cdots,N-1}$ and ${N}$ where $0$ and $N$ are absorbing states, both accessible from $k=1,cdots,N-1$ and ${1,2,cdots,N-1}$ is a transient class. Let $k$ be a state satisfying $0<k<N$. We define a auxiliary process $R$ called "the return process" by altering the first and last row of $P$ so that $P_{0k}=P_{Nk}=1$ and leave the other rows unchanged. The return process $R$ is clearly irreducible. Prove that the expected time until absorption $u_k$ with initial state k in the $R$ process equals $1/(pi_0+pi_N)-1$ where $pi_0+pi_N$ is the stationary probability of being in state $0$ or $N$ for the R process.
Hint: Use the relation between stationary probabilities and expected recurrence times or states
stochastic-processes
$endgroup$
add a comment |
$begingroup$
- Consider a finite Markov Chain $R$ on the state space ${0,1,2,cdots, N}$ with transition probability matrix $P=|P_{ij}|_{i,j=0}^N$ consisting of three classes ${0,1,2,cdots,N-1}$ and ${N}$ where $0$ and $N$ are absorbing states, both accessible from $k=1,cdots,N-1$ and ${1,2,cdots,N-1}$ is a transient class. Let $k$ be a state satisfying $0<k<N$. We define a auxiliary process $R$ called "the return process" by altering the first and last row of $P$ so that $P_{0k}=P_{Nk}=1$ and leave the other rows unchanged. The return process $R$ is clearly irreducible. Prove that the expected time until absorption $u_k$ with initial state k in the $R$ process equals $1/(pi_0+pi_N)-1$ where $pi_0+pi_N$ is the stationary probability of being in state $0$ or $N$ for the R process.
Hint: Use the relation between stationary probabilities and expected recurrence times or states
stochastic-processes
$endgroup$
- Consider a finite Markov Chain $R$ on the state space ${0,1,2,cdots, N}$ with transition probability matrix $P=|P_{ij}|_{i,j=0}^N$ consisting of three classes ${0,1,2,cdots,N-1}$ and ${N}$ where $0$ and $N$ are absorbing states, both accessible from $k=1,cdots,N-1$ and ${1,2,cdots,N-1}$ is a transient class. Let $k$ be a state satisfying $0<k<N$. We define a auxiliary process $R$ called "the return process" by altering the first and last row of $P$ so that $P_{0k}=P_{Nk}=1$ and leave the other rows unchanged. The return process $R$ is clearly irreducible. Prove that the expected time until absorption $u_k$ with initial state k in the $R$ process equals $1/(pi_0+pi_N)-1$ where $pi_0+pi_N$ is the stationary probability of being in state $0$ or $N$ for the R process.
Hint: Use the relation between stationary probabilities and expected recurrence times or states
stochastic-processes
stochastic-processes
edited Dec 27 '18 at 7:51
Sauhard Sharma
953318
953318
asked Dec 27 '18 at 7:36
GloriaGloria
64
64
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3053680%2fquestion-about-the-expected-recurrence-times-to-states%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3053680%2fquestion-about-the-expected-recurrence-times-to-states%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown