Paper 3, Section II, J

Applied Probability | Part II, 2016

(a) State the thinning and superposition properties of a Poisson process on R+\mathbb{R}_{+}. Prove the superposition property.

(b) A bi-infinite Poisson process (Nt:tR)\left(N_{t}: t \in \mathbb{R}\right) with N0=0N_{0}=0 is a process with independent and stationary increments over R\mathbb{R}. Moreover, for all <st<-\infty<s \leqslant t<\infty, the increment NtNsN_{t}-N_{s} has the Poisson distribution with parameter λ(ts)\lambda(t-s). Prove that such a process exists.

(c) Let NN be a bi-infinite Poisson process on R\mathbb{R} of intensity λ\lambda. We identify it with the set of points (Sn)\left(S_{n}\right) of discontinuity of NN, i.e., N[s,t]=nl(Sn[s,t])N[s, t]=\sum_{n} \mathbf{l}\left(S_{n} \in[s, t]\right). Show that if we shift all the points of NN by the same constant cc, then the resulting process is also a Poisson process of intensity λ\lambda.

Now suppose we shift every point of NN by +1+1 or 1-1 with equal probability. Show that the final collection of points is still a Poisson process of intensity λ\lambda. [You may assume the thinning and superposition properties for the bi-infinite Poisson process.]

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