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1 Continuous Time Processes - IPM

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The Bessel function I◦ is defined as<br />

I◦(α) = 1<br />

2π<br />

e<br />

2π ◦<br />

α cos θ dθ.<br />

Therefore the desired transition probability<br />

where<br />

P [Rt ≤ b | Z◦ = (x1, x2)] =<br />

b<br />

˜pt(ρ, r; σ) = r<br />

tσ2 e− r2 +ρ 2<br />

2tσ2 I◦( rρ<br />

◦<br />

˜pt(ρ, r; σ)dr, (1.5.19)<br />

).<br />

tσ2 The Markovian property of radial Brownian motion is a consequence of the<br />

expression for transition probabilities since they depends only on (ρ, r). From<br />

the fact that I◦ is a solution of the differential equation<br />

d2u 1 du<br />

+<br />

dz2 z dz<br />

− u = 0,<br />

we obtain the partial differential differential equation satisfied ˜p:<br />

∂ ˜p<br />

∂t<br />

= σ2<br />

2<br />

which is the radial heat equation. ♠<br />

∂2 ˜p σ ∂ ˜p<br />

+<br />

∂r2 2r ∂r ,<br />

The analogue of non-symmetric random walk (E[X] = 0) is Brownian<br />

motion with drift µ which one may define as<br />

Z µ<br />

t = Zt + µt<br />

in the one dimensional case. It is a simple exercise to show<br />

Lemma 1.5.1 Z µ<br />

t is normally distributed with mean µt and variance tσ 2 ,<br />

and has stationary independent increments.<br />

In particular the lemma implies that, assuming Z µ ◦ = 0, the probability<br />

of the set of paths that at time t are in the interval (a, b) is<br />

<br />

1 b (u−µt)2<br />

−<br />

√ e 2tσ<br />

2πtσ a<br />

2 du.<br />

46

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