- #1
Markov2
- 149
- 0
1) Transform the problem so that boundary conditions turn to homogeneous ones assuming that $g_0$ and $g_1$ are differentiable.
$\begin{align}
&{{u}_{t}}=K{{u}_{xx}},\text{ }0<x<L,\text{ }t>0, \\
&{{u}_{x}}(0,t)={{g}_{0}}(t),\text{ }{{u}_{x}}(L,t)={{g}_{1}}(t),\text{ for }t>0, \\
&u(x,0)=f(x),\text{ for }0<x<L.
\end{align}
$
2) Same as above:
$\begin{align}
& {{u}_{t}}=K{{u}_{xx}},\text{ }0<x<L,\text{ }t>0, \\
& u(0,t)={{h}_{0}}(t)\text{ for }t>0, \\
& {{u}_{x}}(L,t)+\alpha u(L,t)={{h}_{1}}(t),\text{ for }t>0, \\
& u(x,0)=f(x),\text{ for }0<x<L.
\end{align}
$
Well first one is pretty much alike to other one I posted, but it now contains first derivative in the boundary conditions so I'd like to know how to proceed. Second one looks harder, I don't see how to start.
$\begin{align}
&{{u}_{t}}=K{{u}_{xx}},\text{ }0<x<L,\text{ }t>0, \\
&{{u}_{x}}(0,t)={{g}_{0}}(t),\text{ }{{u}_{x}}(L,t)={{g}_{1}}(t),\text{ for }t>0, \\
&u(x,0)=f(x),\text{ for }0<x<L.
\end{align}
$
2) Same as above:
$\begin{align}
& {{u}_{t}}=K{{u}_{xx}},\text{ }0<x<L,\text{ }t>0, \\
& u(0,t)={{h}_{0}}(t)\text{ for }t>0, \\
& {{u}_{x}}(L,t)+\alpha u(L,t)={{h}_{1}}(t),\text{ for }t>0, \\
& u(x,0)=f(x),\text{ for }0<x<L.
\end{align}
$
Well first one is pretty much alike to other one I posted, but it now contains first derivative in the boundary conditions so I'd like to know how to proceed. Second one looks harder, I don't see how to start.