Question: In this problem, you will demonstrate that the Gaussian PDF in Equation ( 9.64) is in fact the solution to the diffusion Equation ( 9.63).

In this problem, you will demonstrate that the Gaussian PDF in Equation ( 9.64) is in fact the solution to the diffusion Equation ( 9.63). To do this, we will use frequency domain
methods. Define
D(0, t) = E[o@X()] Ax, txo=D0, to=0)e/ax dx to be thetime- varying characteristic function of the random process X (t).
(a) Starting from the diffusion Equation (9.63), show that the characteristic function must satisfy
Also, determine the appropriate initial condition for this differential equation. That is, find Φ (ω, t).
(b) Solve the first- order differential equation in part (a) and show that the characteristic function is of the form
(c) From the characteristic function, find the resulting PDF given by Equation (9.62).

D(0, t) = E[o@X()] Ax, txo=D0, to=0)e/ax dx to be the

Step by Step Solution

3.48 Rating (168 Votes )

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock

a Given Then using integration by parts Similarly Now ... View full answer

blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Document Format (1 attachment)

Word file Icon

589-M-S-M-C (169).docx

120 KBs Word File

Students Have Also Explored These Related Statistics Questions!