Advanced Applied Mathematical Analysis in Chemical Engineering: Homework 10, Assignments of Chemistry

Information about homework 10 for the course che 527: advanced applied mathematical analysis in chemical engineering, which was due in class on november 30, 2006. The homework problem involves solving for the temperature distribution t(x,t) of an infinite slab with a nonuniform initial temperature profile using fourier transforms. The problem statement includes the heat equation and boundary conditions, as well as a note about the requirements for the function g(x). Additionally, there is a problem about investigating the scaling of the computational cost of the heat fft.m matlab script when running it with different values of n.

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Pre 2010

Uploaded on 09/02/2009

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CHE 527 Advanced Applied Mathematical Analysis in Chemical Engineering Fall 2006
Homework 10
Due in class on Thursday, Nov. 30.
1. Consider transient heat conduction in an infinite slab which has a nonuniform initial temperature
profile:
∂T
∂t =α2T
∂x2
where
T=T0at x=±∞
T=T0+g(x) at t= 0
Solve for T(x, t) using Fourier transforms. Note: your solution may include unevaluated definite
integrals, but it should not include i=1, since T is real. What requirements must g(x) satisfy?
2. Run heat fft.m with different values of N and determine if the scaling of the computational cost is
closer to a true fast Fourier transform (i.e., Nlog2N) or a stardard Fourier transform (i.e., N2). A
few hints: (1) comment out all lines associated with plotting, (2) try running with the command: tic;
heat fft; toc to get the run time, and (3) repeat each run a few times and discard the first run, which
involves a huge overhead.
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CHE 527 Advanced Applied Mathematical Analysis in Chemical Engineering Fall 2006

Homework 10

Due in class on Thursday, Nov. 30.

  1. Consider transient heat conduction in an infinite slab which has a nonuniform initial temperature profile: ∂T ∂t

= α

∂^2 T

∂x^2 where T = T 0 at x = ±∞ T = T 0 + g(x) at t = 0 Solve for T (x, t) using Fourier transforms. Note: your solution may include unevaluated definite integrals, but it should not include i =

−1, since T is real. What requirements must g(x) satisfy?

  1. Run heat fft.m with different values of N and determine if the scaling of the computational cost is closer to a true fast Fourier transform (i.e., N log 2 N ) or a stardard Fourier transform (i.e., N 2 ). A few hints: (1) comment out all lines associated with plotting, (2) try running with the command: tic; heat fft; toc to get the run time, and (3) repeat each run a few times and discard the first run, which involves a huge overhead.