diff --git a/meanas/fdfd/waveguide_2d.py b/meanas/fdfd/waveguide_2d.py index 6bb3ade..856c267 100644 --- a/meanas/fdfd/waveguide_2d.py +++ b/meanas/fdfd/waveguide_2d.py @@ -74,7 +74,7 @@ $$ \\end{align*} $$ -With a similar approach (but using \\( \\tilde{\\partial}_y \\) instead), we can get +With a similar approach (but using \\( \\gamma \\tilde{\\partial}_y \\) instead), we can get $$ \\begin{align*} @@ -90,7 +90,7 @@ $$ \\begin{align*} -\\imath \\omega \\mu_{xx} \\gamma H_x &= \\gamma^2 E_y + \\tilde{\\partial}_y ( \\tilde{\\partial}_x \\frac{1}{\\epsilon_zz} \\hat{\\partial}_x (\\epsilon_{xx} E_x) - + \\tilde{\\partial}_x \\frac{1}{\\epsilon_zz} \\hat{\\partial}_y (\\epsilon_{yy} E_y) \\\\ + + \\tilde{\\partial}_x \\frac{1}{\\epsilon_zz} \\hat{\\partial}_y (\\epsilon_{yy} E_y) ) \\\\ -\\imath \\omega \\mu_{yy} \\gamma H_y &= -\\gamma^2 E_x - \\tilde{\\partial}_x ( \\tilde{\\partial}_y \\frac{1}{\\epsilon_zz} \\hat{\\partial}_x (\\epsilon_{xx} E_x) @@ -175,26 +175,21 @@ def operator_e(omega: complex, for use with a field vector of the form `cat([E_x, E_y])`. More precisely, the operator is - $$ \\omega^2 \\mu_{yx} \\epsilon_{xy} + - \\mu_{yx} \\begin{bmatrix} -D_{by} \\\\ - D_{bx} \\end{bmatrix} \\mu_z^{-1} - \\begin{bmatrix} -D_{fy} & D_{fx} \\end{bmatrix} + - \\begin{bmatrix} D_{fx} \\\\ - D_{fy} \\end{bmatrix} \\epsilon_z^{-1} - \\begin{bmatrix} D_{bx} & D_{by} \\end{bmatrix} \\epsilon_{xy} $$ - where - \\( \\epsilon_{xy} = \\begin{bmatrix} - \\epsilon_x & 0 \\\\ - 0 & \\epsilon_y - \\end{bmatrix} \\), - \\( \\mu_{yx} = \\begin{bmatrix} - \\mu_y & 0 \\\\ - 0 & \\mu_x - \\end{bmatrix} \\), - \\( D_{fx} \\) and \\( D_{bx} \\) are the forward and backward derivatives along x, - and each \\( \\epsilon_x, \\mu_y, \\) etc. is a diagonal matrix representing + $$ + \\omega^2 \\begin{bmatrix} \\mu_{yy} \\epsilon_{xx} & 0 \\\\ + 0 & \\mu_{xx} \\epsilon_{yy} \\end{bmatrix} + + \\begin{bmatrix} -\\mu_{yy} \\hat{\\partial}_y \\\\ + \\mu_{xx} \\hat{\\partial}_x \\end{bmatrix} \\mu_{zz}^{-1} + \\begin{bmatrix} -\\tilde{\\partial}_y & \\tilde{\\partial}_x \\end{bmatrix} + + \\begin{bmatrix} \\tilde{\\partial}_x \\\\ + \\tilde{\\partial}_y \\end{bmatrix} \\epsilon_{zz}^{-1} + \\begin{bmatrix} \\hat{\\partial}_x \\epsilon_{xx} & \\hat{\\partial}_y \\epsilon_{yy} \\end{bmatrix} + $$ + \\( \\tilde{\\parital}_x} \\) and \\( \\hat{\\partial}_x \\) are the forward and backward derivatives along x, + and each \\( \\epsilon_{xx}, \\mu_{yy}, \\) etc. is a diagonal matrix containing the vectorized material + property distribution. This operator can be used to form an eigenvalue problem of the form `operator_e(...) @ [E_x, E_y] = wavenumber**2 * [E_x, E_y]` @@ -246,26 +241,21 @@ def operator_h(omega: complex, for use with a field vector of the form `cat([H_x, H_y])`. More precisely, the operator is - $$ \\omega^2 \\epsilon_{yx} \\mu_{xy} + - \\epsilon_{yx} \\begin{bmatrix} -D_{fy} \\\\ - D_{fx} \\end{bmatrix} \\epsilon_z^{-1} - \\begin{bmatrix} -D_{by} & D_{bx} \\end{bmatrix} + - \\begin{bmatrix} D_{bx} \\\\ - D_{by} \\end{bmatrix} \\mu_z^{-1} - \\begin{bmatrix} D_{fx} & D_{fy} \\end{bmatrix} \\mu_{xy} $$ - where - \\( \\epsilon_{yx} = \\begin{bmatrix} - \\epsilon_y & 0 \\\\ - 0 & \\epsilon_x - \\end{bmatrix} \\), - \\( \\mu_{xy} = \\begin{bmatrix} - \\mu_x & 0 \\\\ - 0 & \\mu_y - \\end{bmatrix} \\), - \\( D_{fx} \\) and \\( D_{bx} \\) are the forward and backward derivatives along x, - and each \\( \\epsilon_x, \\mu_y, \\) etc. is a diagonal matrix. + $$ + \\omega^2 \\begin{bmatrix} \\epsilon_{yy} \\mu_{xx} & 0 \\\\ + 0 & \\epsilon_{xx} \\mu_{yy} \\end{bmatrix} + + \\begin{bmatrix} -\\epsilon_{yy} \\tilde{\\partial}_y \\\\ + \\epsilon_{xx} \\tilde{\\partial}_x \\end{bmatrix} \\epsilon_{zz}^{-1} + \\begin{bmatrix} -\\hat{\\partial}_y & \\hat{\\partial}_x \\end{bmatrix} + + \\begin{bmatrix} \\hat{\\partial}_x \\\\ + \\hat{\\partial}_y \\end{bmatrix} \\mu_{zz}^{-1} + \\begin{bmatrix} \\tilde{\\partial}_x \\mu_{xx} & \\tilde{\\partial}_y \\mu_{yy} \\end{bmatrix} + $$ + \\( \\tilde{\\parital}_x} \\) and \\( \\hat{\\partial}_x \\) are the forward and backward derivatives along x, + and each \\( \\epsilon_{xx}, \\mu_{yy}, \\) etc. is a diagonal matrix containing the vectorized material + property distribution. This operator can be used to form an eigenvalue problem of the form `operator_h(...) @ [H_x, H_y] = wavenumber**2 * [H_x, H_y]`