The purpose of this problem is to solve the following PDE using a numerical simulation. { af (t, x) + (1 − x)= - Ət af 10²ƒ + მე 2 მე2 = 0 f(ln(2), x) = ex (a) The equation above corresponds to a Feynman-Kac formula. Identify the stochastic process (X)20 and the expectation that would correspond to f(t, x) explicitly. (b) Use a numerical simulation of (X+) above to approximate the values of f(0, x) at 20 discrete points for x, uniformly spaced in the interval [0,2]. Submit a graph of your solution. (c) How would you proceed to estimate the function f(0.1, x). (Briefly explain your method, you do not need to do it.) Extra question: You can explicitly determine the function in (b) (either as a conditional expectation or by solving the PDE). Compare the theoretical answer to your solution.

Calculus: Early Transcendentals
8th Edition
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Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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The purpose of this problem is to solve the following PDE using a numerical simulation.
{
af
(t, x) + (1 − x)=
-
Ət
af 10²ƒ
+
მე 2 მე2
= 0
f(ln(2), x)
=
ex
(a) The equation above corresponds to a Feynman-Kac formula. Identify the stochastic
process (X)20 and the expectation that would correspond to f(t, x) explicitly.
(b) Use a numerical simulation of (X+) above to approximate the values of f(0, x) at 20
discrete points for x, uniformly spaced in the interval [0,2]. Submit a graph of your
solution.
(c) How would you proceed to estimate the function f(0.1, x). (Briefly explain your
method, you do not need to do it.)
Extra question: You can explicitly determine the function in (b) (either as a conditional
expectation or by solving the PDE). Compare the theoretical answer to your solution.
Transcribed Image Text:The purpose of this problem is to solve the following PDE using a numerical simulation. { af (t, x) + (1 − x)= - Ət af 10²ƒ + მე 2 მე2 = 0 f(ln(2), x) = ex (a) The equation above corresponds to a Feynman-Kac formula. Identify the stochastic process (X)20 and the expectation that would correspond to f(t, x) explicitly. (b) Use a numerical simulation of (X+) above to approximate the values of f(0, x) at 20 discrete points for x, uniformly spaced in the interval [0,2]. Submit a graph of your solution. (c) How would you proceed to estimate the function f(0.1, x). (Briefly explain your method, you do not need to do it.) Extra question: You can explicitly determine the function in (b) (either as a conditional expectation or by solving the PDE). Compare the theoretical answer to your solution.
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