Solving the 3D Diffusion Equation with Fourier Spectral Techniques

In summary, the conversation discusses the 3D Diffusion Equation and its simplified form using Fourier spectral techniques. The explicit scheme used to solve it is also mentioned, but it is noted that it decays to zero over time. The suggestion to solve the DE using the exact solution for the t dependence is also mentioned.
  • #1
johnnyTransform
16
2
Hi guys,

I've distilled the 3D Diffusion Equation into the following PDE using Fourier spectral techniques:

∂C(m,n,p,t)/∂t + k(p^2+m^2+n^2)C(m,n,p,t)=0,

where C is the Fourier coefficient of the 3D Fourier transform, {m,n,p} are the spatial frequencies, and t is time. I've tried using a simple explicit scheme:

C(m,n,p)v+1=1/(1+k*deltaT*(p^2+m^2+n^2)*C(m,n,p)v

where v+1 is the leading time step, and v is the current time step. However, it seems to simply decay to zero over time. Any suggestions as to how I could treat it?
 
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  • #2
Since you only care about the t dependence for the DE, this is form ##\frac{dy}{dt} + ay = 0## which can be solved exactly.
 
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Likes HallsofIvy and johnnyTransform
  • #3
Thanks!
 
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Likes Simon Bridge

1. What is a PDE?

A PDE, or partial differential equation, is a mathematical equation that involves multiple variables and their partial derivatives. It is used to describe physical phenomena, such as heat transfer, wave propagation, and fluid flow.

2. How do you solve a PDE?

The solution to a PDE depends on its type and specific form. Some PDEs can be solved analytically using mathematical techniques, while others require numerical methods. The process involves finding a function that satisfies the equation and any given boundary or initial conditions.

3. What are the common types of PDEs?

There are three main types of PDEs: elliptic, parabolic, and hyperbolic. Elliptic PDEs describe steady-state phenomena, parabolic PDEs describe diffusion or time-dependent phenomena, and hyperbolic PDEs describe wave propagation.

4. What is the importance of solving PDEs?

PDEs are essential in many fields of science and engineering, including physics, chemistry, biology, and finance. They allow us to model and understand complex physical processes and make predictions about their behavior. Solving PDEs also helps us develop new technologies and improve existing ones.

5. Are there any challenges in solving PDEs?

Yes, there are several challenges in solving PDEs, including the complexity of the equations, the need for advanced mathematical techniques, and the use of high-performance computing for numerical solutions. Additionally, finding an exact analytical solution to a PDE may not always be possible, and numerical approximations may introduce errors.

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