$
\newcommand{\Ua}{\mathrm{a}}
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%
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%
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%
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%
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\newcommand{\Bu}{\boldsymbol{u}}
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\newcommand{\Bw}{\boldsymbol{w}}
\newcommand{\Bx}{\boldsymbol{x}}
\newcommand{\By}{\boldsymbol{y}}
\newcommand{\Bz}{\boldsymbol{z}}
%
\newcommand{\Bzero }{\boldsymbol{0}}
\newcommand{\Bone }{\boldsymbol{1}}
\newcommand{\Btwo }{\boldsymbol{2}}
\newcommand{\Bthree}{\boldsymbol{3}}
\newcommand{\Bfour }{\boldsymbol{4}}
\newcommand{\Bfive }{\boldsymbol{5}}
\newcommand{\Bsix }{\boldsymbol{6}}
\newcommand{\Bseven}{\boldsymbol{7}}
\newcommand{\Beight}{\boldsymbol{8}}
\newcommand{\Bnine }{\boldsymbol{9}}
%
\newcommand{\Balpha }{\boldsymbol{\alpha} }
\newcommand{\Bbeta }{\boldsymbol{\beta} }
\newcommand{\Bgamma }{\boldsymbol{\gamma} }
\newcommand{\Bdelta }{\boldsymbol{\delta} }
\newcommand{\Bepsilon}{\boldsymbol{\epsilon} }
\newcommand{\Bvareps }{\boldsymbol{\varepsilon} }
\newcommand{\Bvarepsilon}{\boldsymbol{\varepsilon}}
\newcommand{\Bzeta }{\boldsymbol{\zeta} }
\newcommand{\Beta }{\boldsymbol{\eta} }
\newcommand{\Btheta }{\boldsymbol{\theta} }
\newcommand{\Bvarthe }{\boldsymbol{\vartheta} }
\newcommand{\Biota }{\boldsymbol{\iota} }
\newcommand{\Bkappa }{\boldsymbol{\kappa} }
\newcommand{\Blambda }{\boldsymbol{\lambda} }
\newcommand{\Bmu }{\boldsymbol{\mu} }
\newcommand{\Bnu }{\boldsymbol{\nu} }
\newcommand{\Bxi }{\boldsymbol{\xi} }
\newcommand{\Bpi }{\boldsymbol{\pi} }
\newcommand{\Brho }{\boldsymbol{\rho} }
\newcommand{\Bvrho }{\boldsymbol{\varrho} }
\newcommand{\Bsigma }{\boldsymbol{\sigma} }
\newcommand{\Bvsigma }{\boldsymbol{\varsigma} }
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\newcommand{\Bphi }{\boldsymbol{\phi} }
\newcommand{\Bvarphi }{\boldsymbol{\varphi} }
\newcommand{\Bchi }{\boldsymbol{\chi} }
\newcommand{\Bpsi }{\boldsymbol{\psi} }
\newcommand{\Bomega }{\boldsymbol{\omega} }
\newcommand{\BGamma }{\boldsymbol{\Gamma} }
\newcommand{\BDelta }{\boldsymbol{\Delta} }
\newcommand{\BTheta }{\boldsymbol{\Theta} }
\newcommand{\BLambda }{\boldsymbol{\Lambda} }
\newcommand{\BXi }{\boldsymbol{\Xi} }
\newcommand{\BPi }{\boldsymbol{\Pi} }
\newcommand{\BSigma }{\boldsymbol{\Sigma} }
\newcommand{\BUpsilon}{\boldsymbol{\Upsilon} }
\newcommand{\BPhi }{\boldsymbol{\Phi} }
\newcommand{\BPsi }{\boldsymbol{\Psi} }
\newcommand{\BOmega }{\boldsymbol{\Omega} }
%
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%
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%
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%
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%
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\newcommand{\Kz}{\mathfrak{z}}
%
\newcommand{\Kzero }{\mathfrak{0}}
\newcommand{\Kone }{\mathfrak{1}}
\newcommand{\Ktwo }{\mathfrak{2}}
\newcommand{\Kthree}{\mathfrak{3}}
\newcommand{\Kfour }{\mathfrak{4}}
\newcommand{\Kfive }{\mathfrak{5}}
\newcommand{\Ksix }{\mathfrak{6}}
\newcommand{\Kseven}{\mathfrak{7}}
\newcommand{\Keight}{\mathfrak{8}}
\newcommand{\Knine }{\mathfrak{9}}
%
$
$
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$
In this post, I’ll introduce the FE formulation of a generalized linear and
coupled weak form.
Said weak formulation has the form
Find $u\in V_1$, $y\in V_2$ such that
\[\begin{equation}
\begin{alignedat}{3}
a(u, v) &+ b(y, v) &&= c(v) \\
d(u, w) &+ e(y, w) &&= f(w) \\
\end{alignedat}
\label{eq:coupledweakform1}
\end{equation}\]
for all $v\in V_1$, $w \in V_2$ where
$a(\cdot, \cdot): V_1\times V_1 \to \IR$,
$b(\cdot, \cdot): V_2\times V_1 \to \IR$,
$d(\cdot, \cdot): V_1\times V_2 \to \IR$,
$e(\cdot, \cdot): V_2\times V_2 \to \IR$
are bilinear forms and
$c(\cdot): V_1\to \IR$,
$f(\cdot): V_2\to \IR$ are linear forms.
Here, the objective is to solve for the two unknown functions $u$ and $y$. One
can also imagine an arbitrary degree of coupling between $n$ variables with $n$
equations.
We introduce the following discretizations
\[\begin{equation}
\begin{alignedat}{3}
u_h &= \suml{J=1}{n_n^1} u^J N^J
\qquad\qquad &
v_h &= \suml{I=1}{n_n^1} u^I N^I
\qquad\qquad &
u_h, v_h\in V_{h1}
\\
y_h &= \suml{L=1}{n_n^2} u^L N^L
&
w_h &= \suml{K=1}{n_n^2} u^K N^K
&
y_h, w_h\in V_{h2}
\\
\end{alignedat}
\end{equation}\]
where the corresponding number of shape functions are $n_n^1$ and $n_n^2$, respectively.
Substituting the discretizations in \eqref{eq:coupledweakform1}, we obtain two
linear systems of equations
\[\begin{equation}
\begin{alignedat}{3}
\suml{J=1}{n_n^1} a(N^J, N^I) \,u^J
&+ \suml{L=1}{n_n^2} b(N^L, N^I) \, y^L
&&= c(N^I) \\
\suml{J=1}{n_n^1} d(N^J, N^K) \,u^J
&+ \suml{L=1}{n_n^2} e(N^L, N^K) \, y^L
&&= f(N^K) \\
\end{alignedat}
\end{equation}\]
for $I=1,\dots,n_n^1$ and $K=1,\dots,n_n^2$.
We write this system as
\[\begin{equation}
\boxed{
\begin{alignedat}{3}
\BA \Bu &+ \BB\By &&= \Bc \\
\BD \Bu &+ \BE\By &&= \Bf \\
\end{alignedat}
\eqor
\begin{bmatrix}
\BA & \BB \\
\BD & \BE
\end{bmatrix}
\begin{bmatrix}
\Bu \\ \By
\end{bmatrix}
=
\begin{bmatrix}
\Bc \\ \Bf
\end{bmatrix}
}
\label{eq:coupledsystem1}
\end{equation}\]
where the components of given matrices and vectors are defined as
\[\begin{equation}
\begin{alignedat}{6}
A^{I\!J} &:= a(N^J, N^I)
\qquad & B^{I\!L} &:= b(N^L, N^I)
\qquad & c^{I} &:= c(N^I)\\
D^{K\!J} &:= d(N^J, N^K)
& E^{K\!L} &:= e(N^L, N^K)
& f^{K} &:= f(N^K)\\
\end{alignedat}
\end{equation}\]
Solution of \eqref{eq:coupledsystem1} yields the unknown vectors $\Bu$ and $\By$.