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Many layers

Since this translational operator is now in terms of parameters v and $\sigma$ which are constant across layer boundaries, we can form the n-layer transformation by forming the product of the n individual layer transformations. In the case of the first three terms of our truncated power series approximation of Equation 8, this leads to

\begin{displaymath}
\pmatrix{ 
 I & 0 \cr
 0 & I 
 }\end{displaymath}

\begin{displaymath}
- i \omega z
 \pmatrix{ 
 0 & \sum_{j=1}^{n} s_{j} \cr
 \sum_{j=1}^{n} \rho_{j} & 0 
 }\end{displaymath}

 
 \begin{displaymath}
- \frac{\omega^{2} z^{2}}{2}
 \pmatrix{ 
 \sum_{j=1}^{n} s_{...
 ...j} s_{j} 
 + 2\sum_{j=2}^{n} \rho_{j} \sum_{k=1}^{j-1} s_{k}
 }\end{displaymath} (9)

previous up next print clean
Next: Lag formulation Up: DEVELOPMENT Previous: Taylor series expansion
Stanford Exploration Project
11/17/1997