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Partial differential equation problem

  1. Jan 15, 2008 #1
    I consider the typical convection-diffusion equation taking into account the diffusion coefficient as a tensor like:

    [tex]D= \left( \begin{array}{cc} D_{||}(y) & 0 \\ 0 & D_{\perp}(y) \end{array} \right) [/tex]

    then, the equation will be:

    [tex]\frac{\partial \phi(x,y,t)}{\partial t} + \vec{u} \cdot \vec{\nabla}\phi(x,y,t) = \vec{\nabla}[D \cdot \vec{\nabla} \phi(x,y,\tau)][/tex]

    In the case of the [tex]D = cte [/tex], I can solve this equation doing a change of variable and then applying the Fourier transformation. But when [tex]D[/tex] is a tensor, I become the following partial differential equation

    [tex]\partial_T \phi = \partial^2_X \phi (D_{||} + v^2 T^2 D_{\perp}) + D_{\perp} \partial^2 _Z \phi - 2 vT D_{\perp} \partial_Z \partial_X \phi - vT \partial_Z D_{\perp} \partial_X \phi + \partial_Z D_{\perp} \partial_X \phi [/tex]

    where v is the derivative of u. This partial differential equation is not easier to solve.

    My idea is to apply the Fourier transformation for example to [tex]D_{||}\partial^2_X \phi[/tex] but then I become the convolution for the Fourier transformation for each one (D and [tex]\phi[/tex]). Here it is my problem to apply the convolution in the partial differential equation.

    I know that it is not very easy, but can someone help me.
  2. jcsd
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