Problem 3
Consider a pure death process where \(\mu_{n}=n \mu\) for \(n=1,2, \ldots\), i.e., \(P\\{X(t+h)\) \(=j \mid X(t)=k\\}=0\) for \(j>k\) and \(t\) and \(k\) positive. Assume an initial population of size \(i\). Find \(P_{n}(t)=P\\{X(t)=n\\}, E X(t)\), and \(V\) ar \(X(t)\).
Problem 9
Consider a Poisson process of parameter \(\lambda\). Given that \(n\) events
happen in time \(t\), find the density function of the time of the occurrence of
the \(r\) th event \((r
Problem 31
Consider a pure birth process having infinitesimal parameters \(\lambda_{n}=\lambda n^{2}\), where \(\lambda>0\) is fixed. Given that at time 0 there is a single particle, determine $$ P_{\infty}(t)=1-\sum_{k=1}^{\infty} P_{k}(t) $$