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Suppose that \(\left[N_{0}(t), t \geqslant 0\right\\}\) is a Poisson process with rate \(\lambda=1\). Let \(\lambda(t)\) denote a nonnegative function of \(t\), and let $$ m(t)=\int_{0}^{t} \lambda(s) d s $$ Define \(N(t)\) by $$ N(t)=N_{0}(m(t)) $$ Argue that \(\\{N(t), t \geqslant 0\\}\) is a nonhomogeneous Poisson process with intensity function \(\lambda(t), t \geqslant 0\) Hint: Make use of the identity $$ m(t+h)-m(t)=m^{\prime}(t) h+o(h) $$

Short Answer

Expert verified
In order to show that \(\{N(t), t \geq 0\}\) is a nonhomogeneous Poisson process with intensity function \(\lambda(t)\), we note the following: 1. The initial condition is satisfied: \(N(0) = N_0(m(0)) = N_0(0) = 0\). 2. The increments of \(N(t)\) are independent as \(N_0(t)\) is a homogeneous Poisson process with rate 1, and the mapping \(m(t)\) is deterministic. 3. Using the given hint, we have \(m(t+s)-m(t) = \lambda(t)s + o(s)\), which shows that the number of events in the interval \((t,t+s]\) depends only on the length of the interval \(s\). Thus, we can conclude that \(\{N(t), t \geq 0\}\) is a nonhomogeneous Poisson process with intensity function \(\lambda(t), t \geq 0\).

Step by step solution

01

Define a nonhomogeneous Poisson process

A nonhomogeneous Poisson process \(N(t)\) with intensity function \(\lambda(t)\) for \(t \geq 0\) is a counting process that satisfies the following conditions: 1. \(N(0) = 0\) 2. The increments are independent. Meaning, for any non-overlapping time intervals \((t_1, t_2], \dots, (t_{n-1}, t_n]\), the increments of \(N\) in these intervals are independent. 3. The number of events \(N(t+s)-N(t)\) in the interval \((t, t+s]\) depends only on the length of the interval \(s\). Now, we will use the definition of the Poisson process to prove that \(N(t) = N_0(m(t))\) is a nonhomogeneous Poisson process.
02

Confirm initial condition

As \(N_0(t)\) is a Poisson process with rate 1, we have \(N_0(0) = 0\). Since \(m(0) = \int_{0}^{0} \lambda(s)ds = 0\), we can confirm that the initial condition for \(N(t)\) is satisfied: $$ N(0) = N_0(m(0)) = N_0(0) = 0 $$
03

Check independence of increments

We need to show that for any \(0 \le t_1 < t_2 < \dots < t_n\), the increments \(N(t_i + s_i) - N(t_i)\) over non-overlapping intervals \((t_i,t_i + s_i], i = 1,\dots, n\), are independent: $$ N(t_1 + s_1) - N(t_1), \dots, N(t_n + s_n) - N(t_n) $$ By definition, we have that \(N(t) = N_0(m(t))\). Therefore: $$ N_0(m(t_1 + s_1)) - N_0(m(t_1)), \dots, N_0(m(t_n + s_n)) - N_0(m(t_n)) $$ As \(N_0(t)\) is a Poisson process with rate 1, its increments are independent. Since the \(m(t)\) mapping is deterministic, the increments of \(N(t)\) are also independent.
04

Use the given hint to show that the number of events depends only on the length of the interval

We need to show that the number of events in the interval \((t, t+s]\) depends only on the length of the interval \(s\): $$ N(t+s) - N(t) = N_0(m(t+s)) - N_0(m(t)) $$ To prove this, we can use the given hint: $$ m(t+s) - m(t) = m'(t)s + o(s) = \lambda(t)s + o(s) $$ As \(m'(t) = \lambda(t)\), we can deduce that the number of events in the interval \((t, t+s]\) depends only on the length of the interval \(s\). Therefore, we have shown that \(N(t) = N_0(m(t))\) is a nonhomogeneous Poisson process with intensity function \(\lambda(t), t \geqslant 0\).

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Most popular questions from this chapter

Teams 1 and 2 are playing a match. The teams score points according to independent Poisson processes with respective rates \(\lambda_{1}\) and \(\lambda_{2} .\) If the match ends when one of the teams has scored \(k\) more points than the other, find the probability that team 1 wins. Hint: Relate this to the gambler's ruin problem.

The water level of a certain reservoir is depleted at a constant rate of 1000 units daily. The reservoir is refilled by randomly occurring rainfalls. Rainfalls occur according to a Poisson process with rate \(0.2\) per day. The amount of water added to the reservoir by a rainfall is 5000 units with probability \(0.8\) or 8000 units with probability \(0.2 .\) The present water level is just slightly below 5000 units. (a) What is the probability the reservoir will be empty after five days? (b) What is the probability the reservoir will be empty sometime within the next ten days?

Let \(\\{N(t), t \geqslant 0\\}\) be a Poisson process with rate \(\lambda\). For \(sN(s))\) (b) \(P(N(s)=0, N(t)=3)\); (c) \(E[N(t) \mid N(s)=4] ;\) (d) \(E[N(s) \mid N(t)=4]\).

The lifetimes of A's dog and cat are independent exponential random variables with respective rates \(\lambda_{d}\) and \(\lambda_{c} .\) One of them has just died. Find the expected additional lifetime of the other pet.

Let \(X_{1}, X_{2}, \ldots, X_{n}\) be independent and identically distributed exponential random variables. Show that the probability that the largest of them is greater than the sum of the others is \(n / 2^{n-1}\). That is, if $$ M=\max _{j} X_{j} $$ then show $$ P\left\\{M>\sum_{i=1}^{n} X_{i}-M\right\\}=\frac{n}{2^{n-1}} $$ Hint: What is \(P\left[X_{1}>\sum_{i=2}^{n} X_{i}\right\\} ?\)

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