Markov Birth Death Chain Show Stationary Distribution

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SUMMARY

The discussion focuses on demonstrating the existence of a stationary distribution for a birth-death chain characterized by birth rates π(n) = a + Bn and death rates μ(n) = (S + yn)n, where constants a, B, S, and y are positive. The solution involves using the relationship π(n) = π(0) * ∏i=0n-1 λ(i)/μ(i+1) to express π(n) in terms of the birth and death rates. The key challenge is to show that the sum Ʃn π(n) is finite, which can be achieved by proving that the product of rates converges to a finite value, ultimately allowing for the normalization of π(0) to ensure the total probability equals one.

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crazy_craig
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Homework Statement



Logistics model: Consider the birth and death chain with birth rates π(n)=a + Bn and death rates μ(n) = (S + yn)n where all four constants (a, B, S, y) are positive. In words, there is immigration at rate a, each particle gives birth at rate B and dies at rate S+yn, i.e., at a rate which starts at rate S and increases linearly due to crowding. Show that the system has a stationary distribution.


Homework Equations



Since this is a birth and death process, we know;

π(n) = λ(n-1)*λ(n-2)* ...*λ(0) * π(0) / μ(n) * μ(n-1) * ... * μ(1)

where the rate from n to n+1 = λ(n) and the rate from n to n-1= μ(n)

The Attempt at a Solution



Using this, we have:

π(n) = π(0) * ∏i=0n-1 λ(i)/μ(i+1)

π(n) = π(0) * ∏i=0n-1 [ a + Bi] / [ (S+y(i + 1)) * (i+1) ]

And this is where I'm stuck. If I can show that the Ʃn π(n) < ∞ , then I could pick π(0) to make the sum 1. I guess I need to show that the above product is a finite value or at least less than some finite value, and then Ʃn π(n) would also be finite...
 
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crazy_craig said:

Homework Statement



Logistics model: Consider the birth and death chain with birth rates π(n)=a + Bn and death rates μ(n) = (S + yn)n where all four constants (a, B, S, y) are positive. In words, there is immigration at rate a, each particle gives birth at rate B and dies at rate S+yn, i.e., at a rate which starts at rate S and increases linearly due to crowding. Show that the system has a stationary distribution.


Homework Equations



Since this is a birth and death process, we know;

π(n) = λ(n-1)*λ(n-2)* ...*λ(0) * π(0) / μ(n) * μ(n-1) * ... * μ(1)

where the rate from n to n+1 = λ(n) and the rate from n to n-1= μ(n)

The Attempt at a Solution



Using this, we have:

π(n) = π(0) * ∏i=0n-1 λ(i)/μ(i+1)

π(n) = π(0) * ∏i=0n-1 [ a + Bi] / [ (S+y(i + 1)) * (i+1) ]

And this is where I'm stuck. If I can show that the Ʃn π(n) < ∞ , then I could pick π(0) to make the sum 1. I guess I need to show that the above product is a finite value or at least less than some finite value, and then Ʃn π(n) would also be finite...

Since a, B, S and y are > 0 we have 0 &lt; f(i) \equiv \frac{a + Bi}{S + y(i+1)} \leq K for some easily-computable constant K = K(a,B,S,y). Thus
0 &lt; \prod_{i=0}^{n-1} \frac{f(i)}{i+1} \leq \frac{K^n}{n!}.

RGV
 

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