7. Let Wt be a standard Brownian Motion. Define X, is by X₁ =W², t≥ 0. a) Is Xt a Brownian Motion? b) Compute the probability density function fx(x) of X₁. c) Compute E[(X₁), E (Xt+s – Xt), and E[(Xt+s – Xt)²] (here t≥ 0, s ≥ - 0). d) Compute E [X₁ (Xt+s – Xt)²]. Does the process X₂ have independent increments?
7. Let Wt be a standard Brownian Motion. Define X, is by X₁ =W², t≥ 0. a) Is Xt a Brownian Motion? b) Compute the probability density function fx(x) of X₁. c) Compute E[(X₁), E (Xt+s – Xt), and E[(Xt+s – Xt)²] (here t≥ 0, s ≥ - 0). d) Compute E [X₁ (Xt+s – Xt)²]. Does the process X₂ have independent increments?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![7. Let Wt be a standard Brownian Motion. Define X, is by
X₁ = W², t≥ 0.
a) Is Xt a Brownian Motion?
b) Compute the probability density function fx, (x) of X₁.
c) Compute E[(X₁), E (Xt+s — Xt), and E[(Xt+s — Xt)²] (here t ≥ 0, s ≥
0).
d) Compute E [X₁ (Xt+s – Xt)²]. Does the process X₁ have independent
increments?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdf749889-19ce-49a6-b9e8-17a0d2b180b5%2Fc4f7e154-eaca-44a5-9c11-c1907d584c81%2Fi25zkms_processed.png&w=3840&q=75)
Transcribed Image Text:7. Let Wt be a standard Brownian Motion. Define X, is by
X₁ = W², t≥ 0.
a) Is Xt a Brownian Motion?
b) Compute the probability density function fx, (x) of X₁.
c) Compute E[(X₁), E (Xt+s — Xt), and E[(Xt+s — Xt)²] (here t ≥ 0, s ≥
0).
d) Compute E [X₁ (Xt+s – Xt)²]. Does the process X₁ have independent
increments?
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Step 1: Write the given information.
VIEWStep 2: Determine whether Xt is a Brownian motion.
VIEWStep 3: Compute the probability density function of fXt(x) of Xt.
VIEWStep 4: Compute E(X_t), E(X_t+s-X_t) and E(X_t+s -X_t)^2.
VIEWStep 5: Compute E[X_t(X_t+s -X_t)^2] and determine whether X_t has independent increments.
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