Numerical solution of a second-order non-linear PDE The 2019 Stack Overflow Developer Survey...
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Numerical solution of a second-order non-linear PDE
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$begingroup$
I'm interested in solving the following non-linear terminal value problem
$$
0 = frac{partial u}{partial t} + frac{1}{2}sigma^2x
frac{partial^2 u}{partial x^2}
+ lambda(x_0 - x)frac{partial u}{partial x} - phi
+ frac{1}{x}u^2,qquad u(T, x) = -alpha.
$$
on $(t, x)in(0, T)times(0, infty)$, where $sigma>0$, $lambda>0$, $x_0>0$, $phi>0$ are constants. For context, this PDE arose from an application of the Hamilton-Jacobi-Bellman equation to a stochastic control problem that I'm studying.
I think it's unlikely that an analytic solution is available, and I expect I'll need to use numerical methods to examine the solution. My first thought is to use a finite difference scheme, such as Crank-Nicolson, but I'm not sure of a suitable boundary condition to use on the solution grid for large $x$.
I'd be very grateful for any suggestions on how to proceed. I'm not very familiar with the literature on the numerical solution of PDEs, so even pointers towards possible references would be really helpful.
pde numerical-methods
$endgroup$
add a comment |
$begingroup$
I'm interested in solving the following non-linear terminal value problem
$$
0 = frac{partial u}{partial t} + frac{1}{2}sigma^2x
frac{partial^2 u}{partial x^2}
+ lambda(x_0 - x)frac{partial u}{partial x} - phi
+ frac{1}{x}u^2,qquad u(T, x) = -alpha.
$$
on $(t, x)in(0, T)times(0, infty)$, where $sigma>0$, $lambda>0$, $x_0>0$, $phi>0$ are constants. For context, this PDE arose from an application of the Hamilton-Jacobi-Bellman equation to a stochastic control problem that I'm studying.
I think it's unlikely that an analytic solution is available, and I expect I'll need to use numerical methods to examine the solution. My first thought is to use a finite difference scheme, such as Crank-Nicolson, but I'm not sure of a suitable boundary condition to use on the solution grid for large $x$.
I'd be very grateful for any suggestions on how to proceed. I'm not very familiar with the literature on the numerical solution of PDEs, so even pointers towards possible references would be really helpful.
pde numerical-methods
$endgroup$
$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01
add a comment |
$begingroup$
I'm interested in solving the following non-linear terminal value problem
$$
0 = frac{partial u}{partial t} + frac{1}{2}sigma^2x
frac{partial^2 u}{partial x^2}
+ lambda(x_0 - x)frac{partial u}{partial x} - phi
+ frac{1}{x}u^2,qquad u(T, x) = -alpha.
$$
on $(t, x)in(0, T)times(0, infty)$, where $sigma>0$, $lambda>0$, $x_0>0$, $phi>0$ are constants. For context, this PDE arose from an application of the Hamilton-Jacobi-Bellman equation to a stochastic control problem that I'm studying.
I think it's unlikely that an analytic solution is available, and I expect I'll need to use numerical methods to examine the solution. My first thought is to use a finite difference scheme, such as Crank-Nicolson, but I'm not sure of a suitable boundary condition to use on the solution grid for large $x$.
I'd be very grateful for any suggestions on how to proceed. I'm not very familiar with the literature on the numerical solution of PDEs, so even pointers towards possible references would be really helpful.
pde numerical-methods
$endgroup$
I'm interested in solving the following non-linear terminal value problem
$$
0 = frac{partial u}{partial t} + frac{1}{2}sigma^2x
frac{partial^2 u}{partial x^2}
+ lambda(x_0 - x)frac{partial u}{partial x} - phi
+ frac{1}{x}u^2,qquad u(T, x) = -alpha.
$$
on $(t, x)in(0, T)times(0, infty)$, where $sigma>0$, $lambda>0$, $x_0>0$, $phi>0$ are constants. For context, this PDE arose from an application of the Hamilton-Jacobi-Bellman equation to a stochastic control problem that I'm studying.
I think it's unlikely that an analytic solution is available, and I expect I'll need to use numerical methods to examine the solution. My first thought is to use a finite difference scheme, such as Crank-Nicolson, but I'm not sure of a suitable boundary condition to use on the solution grid for large $x$.
I'd be very grateful for any suggestions on how to proceed. I'm not very familiar with the literature on the numerical solution of PDEs, so even pointers towards possible references would be really helpful.
pde numerical-methods
pde numerical-methods
asked Mar 22 at 13:25
Alex WAlex W
1427
1427
$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01
add a comment |
$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01
$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01
$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01
add a comment |
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$begingroup$
I’d first think whether the pde problem is well-posed. Is it?
$endgroup$
– VorKir
Mar 30 at 5:01