Section 8.6

Lévy processes and subordinators

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Problem 8.6.1

Prove that the characteristic function ϕ(t,θ)=E[eiθX(t)]\phi (t, \theta ) = \mathbb {E}\left[e^{i \theta X(t)}\right] of a Lévy process XX is a continuous function of tt.

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Problem 8.6.2

Show that a compound Poisson process is a Lévy process, and find its Lévy symbol.

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Problem 8.6.3

Verify the formula of Example (8.6.6) for the Laplace exponent of the Moran gamma process.

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Problem 8.6.4

Prove Theorem (8.6.7): the property of being a Lévy process is preserved under time change by an independent subordinator.

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Problem 8.6.5

Let NN be a Poisson process of rate 11, and TT an independent random variable with the Γ(1,t)\Gamma (1, t) distribution. Show that Y=N(T)Y = N(T) has probability generating function E[sY]=(2−s)−t\mathbb {E}\left[s^{Y}\right] = (2-s)^{-t} for s<2s < 2.

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Problem 8.6.6

Let XX be a Lévy process with finite variances. Show that the following are martingales:

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(a)

X(t)−E[X(t)]X(t)-\mathbb {E}\left[X(t)\right]

(b)

Z(t)2−E[Z(t)2]Z(t)^{2}-\mathbb {E}\left[Z(t)^{2}\right], where Z(t)=X(t)−E[X(t)]Z(t) = X(t)-\mathbb {E}\left[X(t)\right]

(c)

eiθX(t)/ϕ(t,θ)e^{i \theta X(t)} / \phi (t, \theta ), where ϕ(t,θ)=E[eiθX(t)]\phi (t, \theta ) = \mathbb {E}\left[e^{i \theta X(t)}\right].

Problem 8.6.7

Let XX be a continuous-time martingale and TT an independent subordinator. Show that, subject to the moment condition E[∣Y(t)∣]<∞,Y(t)=X(T(t))\mathbb {E}\left[\left|Y(t)\right|\right] < \infty , Y(t) = X(T(t)) defines a martingale with respect to a suitable filtration. Show that the moment condition is valid whenever XX is a positive martingale.

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