SlideShare a Scribd company logo

Let X (t) be a birth and death process with possible states 0, 1, ...pdf

•
•
I
info665359

Let X (t) be a birth and death process with possible states 0, 1, ..., N and birth rate ?i = ?(N ? i)and Solution Let the size of the finite state space E = k, Then the stationary probabilities are Prob(X = a) = 1/k for any a in E. Because P is doubly stochastic it is very easy to check that indeed the vector (1/k,....,1/k) is stationary w.r. to P..

Education
1 of 1
Download to read offline
Let X (t) be a birth and death process with possible states 0, 1, ..., N and birth rate ?i = ?(N ? i)and Solution Let the size of the finite state space E = k, Then the stationary probabilities are Prob(X = a) = 1/k for any a in E. Because P is doubly stochastic it is very easy to check that indeed the vector (1/k,....,1/k) is stationary w.r. to P.

Recommended

Let X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfLet X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfinfo665359
 
let x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdflet x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdfinfo665359
 
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfLet X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfinfo665359
 
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfLet X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfinfo665359
 
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfLet X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfinfo665359
 
Let X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfLet X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfinfo665359
 
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfLet X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfinfo665359
 
Let X be an r.v. defined on a sample space S into the real line R. .pdf
Let X be an r.v. defined on a sample space S into the real line R. .pdfLet X be an r.v. defined on a sample space S into the real line R. .pdf
Let X be an r.v. defined on a sample space S into the real line R. .pdfinfo665359
 

Recommended

Let X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfLet X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfinfo665359
 
let x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdflet x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdfinfo665359
 
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfLet X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfinfo665359
 
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfLet X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfinfo665359
 
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfLet X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfinfo665359
 
Let X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfLet X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfinfo665359
 
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfLet X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfinfo665359
 
Let X be an r.v. defined on a sample space S into the real line R. .pdf
Let X be an r.v. defined on a sample space S into the real line R. .pdfLet X be an r.v. defined on a sample space S into the real line R. .pdf
Let X be an r.v. defined on a sample space S into the real line R. .pdfinfo665359
 
Let X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfLet X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfinfo665359
 
let X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdflet X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdfinfo665359
 
Let X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfLet X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfinfo665359
 
let X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdflet X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdfinfo665359
 
Let X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfLet X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfinfo665359
 
Let X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfLet X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfinfo665359
 
Let X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfLet X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfinfo665359
 
Let X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfLet X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfinfo665359
 
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfLet X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfinfo665359
 
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfLet V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfinfo665359
 
Let V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfLet V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfinfo665359
 
Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfadityarao40181
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...Dr. Mazin Mohamed alkathiri
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)Dr. Mazin Mohamed alkathiri
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 

More Related Content

More from info665359

Let X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfLet X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfinfo665359
 
let X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdflet X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdfinfo665359
 
Let X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfLet X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfinfo665359
 
let X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdflet X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdfinfo665359
 
Let X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfLet X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfinfo665359
 
Let X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfLet X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfinfo665359
 
Let X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfLet X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfinfo665359
 
Let X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfLet X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfinfo665359
 
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfLet X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfinfo665359
 
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfLet V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfinfo665359
 
Let V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfLet V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfinfo665359
 

More from info665359 (11)

Let X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfLet X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdf
 
let X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdflet X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdf
 
Let X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfLet X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdf
 
let X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdflet X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdf
 
Let X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfLet X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdf
 
Let X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfLet X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdf
 
Let X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfLet X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdf
 
Let X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfLet X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdf
 
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfLet X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
 
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfLet V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
 
Let V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfLet V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdf
 

Recently uploaded

Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfadityarao40181
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 

Recently uploaded (20)

Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized Group
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for Beginners
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 

Let X (t) be a birth and death process with possible states 0, 1, ...pdf

  • 1. Let X (t) be a birth and death process with possible states 0, 1, ..., N and birth rate ?i = ?(N ? i)and Solution Let the size of the finite state space E = k, Then the stationary probabilities are Prob(X = a) = 1/k for any a in E. Because P is doubly stochastic it is very easy to check that indeed the vector (1/k,....,1/k) is stationary w.r. to P.