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Find the generating function \(\varphi(t ; s)\) of the continuous time branching process if the infinitesimal generating function is $$ u(s)=1-s-\sqrt{1-s} $$

Short Answer

Expert verified
The generating function \(\varphi(t ; s)\) of the continuous time branching process with infinitesimal generating function \(u(s) = 1-s-\sqrt{1-s}\) is given by: $$ \varphi(t ; s) = \int \frac{1}{(1-s-\sqrt{1-s})} \left[\frac{2}{3}(1-s)^{\frac{3}{2}} - (1-s)^2\right]ds $$

Step by step solution

01

Rewrite the Kolmogorov's Forward Equation using the given u(s)

We are given the infinitesimal generating function \(u(s)=1-s-\sqrt{1-s}\). Plug this into the forward equation: $$ \frac{\partial \varphi(t ; s)}{\partial t} = u\left(\frac{\partial \varphi(t ; s)}{\partial s}\right) = \left(1-s-\sqrt{1-s}\right)\frac{\partial \varphi(t ; s)}{\partial s} $$
02

Solve the equation for \(\varphi(t;s)\) using the Method of Characteristics

To solve the above equation using the method of characteristics, let's introduce the new variables: $$ \frac{dz}{dt} = 1-s-\sqrt{1-s} \qquad \text{and} \qquad \frac{ds}{dt} = \frac{\partial \varphi(t ; s)}{\partial s} $$ Now, solve the first equation for \(z\): $$ \frac{dz}{ds} = \frac{dt}{ds} \cdot \frac{dz}{dt} = \frac{1}{\frac{\partial \varphi}{\partial s}}(1-s-\sqrt{1-s}), $$ where we have used the relation \(\frac{ds}{dt} = \frac{\partial \varphi}{\partial s}\). We can rewrite it as $$ \frac{\partial \varphi}{\partial s} = \frac{1}{(1-s-\sqrt{1-s})} \frac{dz}{ds} $$ Now we can integrate both sides with respect to \(s\): $$ \varphi(t ; s) = \int \frac{1}{1-s-\sqrt{1-s}} dz(s) $$
03

Obtain the generating function \(\varphi(t; s)\)

To obtain \(\varphi(t;s)\), we need to solve the integral for \(z(s)\): $$ z(s) = \int (1-s-\sqrt{1-s}) ds $$ Let \(w = 1-s, dw = -ds\), then the integral becomes $$ z(w) = \int (w-\sqrt{w}) dw $$ By integrating, we get $$ z(w) = \frac{2}{3}w^{\frac{3}{2}} - w^2 = \frac{2}{3}(1-s)^{\frac{3}{2}} - (1-s)^2 $$ Now plug \(z(s)\) back into the expression for \(\varphi(t;s)\): $$ \varphi(t ; s) = \int \frac{1}{(1-s-\sqrt{1-s})} dz(s) = \int \frac{1}{(1-s-\sqrt{1-s})} \left[\frac{2}{3}(1-s)^{\frac{3}{2}} - (1-s)^2\right]ds $$ This is the generating function \(\varphi(t; s)\) of the continuous time branching process.

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Most popular questions from this chapter

In the branching process with immigration (Problem 11) assume that \(\varphi^{\prime}(1)=m<1\). Prove that the associated Markov chain has a stationary probability distribution with probability generating function \(\pi(s)=\sum_{r=0}^{\infty} \pi_{r} s^{\prime}\) that satisfies the functional equation, $$ \pi(\varphi(s)) h(s)=\pi(s) $$

Let \(X_{n}\) be a discrete branching process with associated probability generating function \(\varphi(s)\) and let \(\varphi_{n}(s)=\sum_{k=0}^{\infty} \operatorname{Pr}\left\\{X_{n}=k\right\\} s^{k}\). Assume that \(\varphi^{\prime}(1)>1\) Let \(\tilde{X}_{n}\) denote the number of all the particles in the nth generation which have an infinite line of descent. Show that the probability generating function for \(\tilde{X}_{n}\) is $$ \sum_{k=0}^{\infty} \operatorname{Pr}\left\\{\bar{X}_{n}=k \mid \bar{X}_{0}=X_{0}=1\right\\} s^{k}=\frac{\varphi_{n}(s(1-q)+q)-q}{1-q} $$ where \(q\) is the probability of extinction. Hint: Note that for \(k \geq 1\) $$ \operatorname{Pr}\left\\{\tilde{X}_{n}=k \mid \dot{X}_{0}=1, X_{0}=1\right\\}=\frac{\sum_{i=k}^{\infty} \operatorname{Pr}\left\\{\tilde{X}_{n}=k, X_{n}=l \mid X_{0}=1\right\\}}{\operatorname{Pr}\left\\{\bar{X}_{0}=1 \mid X_{0}=1\right\\}} $$

Under the same conditions as in Problem 5 prove that \(\operatorname{Pr}\left\\{X_{n} \leq n x \mid X_{n}>0\right\\}\) converges to an exponential distribution.

Let \(\varphi(s)\) be the generating function of the number of progeny of a single individual in a branching process that starts with one individual at time zero, and let \(\varphi_{n}(s)\) denote its \(n\)th iterate. Suppose in addition to the ordinary branching process there also exists some immigration into the population during a single generation described by the probability generating function \(h(s)\). Consider the branching process with immigration whose transition probability matrix is defined by $$ \sum_{j=0}^{\infty} P_{i j} s^{\prime}=[\varphi(s)]^{i} \cdot h(s) $$

Consider a multiple birth Yule process where each member in a population has a probability \(\beta h+o(h)\) of giving birth to \(k\) new members and probability \((1-\beta h+o(h))\) of no birth in an interval of time length \(h(\beta>0, k\) positive integer). Assume that there are \(N\) members present at time \(0 .\) (a) Let \(X(t)\) be the number of splits up to time \(t\). Determine the growth behavior of \(E(X(t))\) (b) Let \(\tau_{n}\) be the time of the \(n\)th split. Find the density function of \(\tau_{n^{*}}\)

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