Taking second derivative of a derivative

nkinar
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Hello--

I'm in the process of implementing a PML for FDTD modeling.

I would like to take the derivative of the partial derivative shown below, but I am uncertain with respect to how I might proceed.

<br /> \[<br /> \frac{\partial }{{\partial x}} \to \frac{1}{{1 + \frac{{i\sigma \left( x \right)}}{\omega }}}\frac{\partial }{{\partial x}}<br /> \]<br />

Essentially what I would like to do is take the derivative of a partial derivative, and also deal with the \[{i\sigma \left( x \right)}\] term, which is a function of position x.

This would result in the calculation of \[\frac{{\partial ^2 }}{{\partial x^2 }}\]
 
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Perhaps this would be the way to take the second derivative :

<br /> \[<br /> \frac{{\partial ^2 }}{{\partial x^2 }} \to -\left( {1 + \frac{{i\sigma \left( x \right)}}{\omega }} \right)^{ - 2} \left( {\frac{{\partial \sigma \left( x \right)}}{{\partial x}}\frac{i}{\omega }} \right)\frac{\partial }{{\partial x}} + \frac{{\partial ^2 }}{{\partial x^2 }}\left( {1 + \frac{{i\sigma \left( x \right)}}{\omega }} \right)^{ - 1} <br /> \]<br /> <br />
 
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Use the product rule:
\frac{\partial }{\partial x}\left((1+ \frac{i\sigma}{\omega})^{-1}\frac{\partial y}{\partial x}\right)= \frac{\partial (1+ \frac{i\sigma}{\omega})^{-1}}{\partial y}{\partial x}+ (1+ \frac{i\sigma}{\omega})^{-1}\frac{\partial^2 y}{\partial x^2}
 
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