Fourier-Laplace transform of mixed PDE?

In summary, the question is about the Fourier-Laplace transform of a partial differential equation involving third order derivatives of a variable U, which is a function of both space and time. The Fourier transform of the spatial derivatives is taken with respect to x using the transform variable "k", while the Laplace transform of the time derivative is taken with respect to t using the transform variable "w". The Fourier-Laplace transform of the given PDE would involve the Fourier transform of -(k^2)*F(u) with respect to x and the Laplace transform of -(k^2)*F(u) with respect to t.
  • #1
ThatsRightJack
2
0
I have a third order derivative of a variable, say U, which is a function of both space and time.

du/dx * du/dx * du/dt or (d^3(U)/(dt*dx^2))

The Fourier transform of du/dx is simply ik*F(u) where F(u) is the Fourier transform of u. The Fourier transform of d^2(u)/(dx^2) is simply -(k^2)*F(u) where F(u) is again the Fourier transform of u. My question is, how do handle the time derivative part with a Laplace transform? What would the Fourier-Laplace transform of the given PDE look like?
 
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  • #2
A point about your notation: (du/dx)(du/dx)(du/dt) is NOT a third derivative, it is a product of three first derivatives.

Now, a Laplace-Fourier transform has to be taken with respect to a specific variable. If you are taking the transform of [itex]\partial^3f/\partial x^2\partial t[/itex] with respect to x, it the same as transform of the second derivative. If with respect to t, it is the same as the transform of the first derivative.
 
  • #3
Yes, you're right. That was not the correct notation. Sorry!

As far as the Laplace-Fourier transform is concerned, the Fourier transform of the spatial derivatives is taken with respect to x with the transform variable "k" and the Laplace transform of the time derivative is taken with respect to t with the transform variable "w". I'm still a little unclear as to what the final transform function looks like?

If this is the Fourier transform of d^2(u)/(dx^2), with respect to x using the tansform variable "k":
-(k^2)*F(u)
where F(u) is the Fourier transform of u, what would the Laplace transform of that be with respect to t using the transform variable "w" ?
 

Related to Fourier-Laplace transform of mixed PDE?

1. What is the Fourier-Laplace transform of a mixed PDE?

The Fourier-Laplace transform of a mixed partial differential equation (PDE) is a mathematical tool used to solve PDEs that involve both time and space variables. It transforms a PDE into an algebraic equation in the transformed variables, making it easier to solve.

2. How does the Fourier-Laplace transform work?

The Fourier-Laplace transform takes a function of two independent variables, such as time and space, and converts it into a function of two transformed variables, known as the frequency and complex variable. This transformation allows us to solve PDEs by converting them into simpler algebraic equations.

3. What are the applications of the Fourier-Laplace transform in solving mixed PDEs?

The Fourier-Laplace transform is commonly used in engineering and physics to solve PDEs that describe wave phenomena, such as heat transfer, diffusion, and electromagnetic fields. It is also used in signal processing and image analysis to analyze signals in the time and space domains.

4. Is the Fourier-Laplace transform a reversible process?

Yes, the Fourier-Laplace transform is a reversible process, meaning that the original function can be recovered from its transformed form. This property is useful in solving PDEs, as the solution can be transformed back to its original form to obtain the solution in the time and space domains.

5. What are the advantages of using the Fourier-Laplace transform in solving mixed PDEs?

The Fourier-Laplace transform allows for the solution of complex PDEs by breaking them down into simpler algebraic equations. It also has the advantage of being a reversible process and can handle boundary conditions more easily than traditional methods. Additionally, it can be applied to a wide range of applications in engineering, physics, and mathematics.

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