Graduate Improper boundary in non-linear ODE (pseudospectral methods)

[Leonardo Machado]

TL;DR

I am not being able to determine the behavior of my solutions for improper boundaries if the behavior of the solution is expected to diverge.

Hello,

I am trying to compute some non-linear equations with pseudospectral/collocation methods. Basically I am expanding the solution as

$$
y(x)=\sum_{n=0}^{N-1} a_n T_n(x),
$$

Being the basis an Chebyshev polynomial with the mapping x in [0,inf].

Then we put this into a general differential equation

$$
Ly(x)=f(x,y),
$$

which leads to

$$
\sum_{n=0}^{N-1} L T_n(x) a_n = f(x,y).
$$

This function is evaluated at the collocation points associated with the Chebyshev polynomials as usual, leading to N-1 non-linear equations. Also, there is also equations for the boundaries, i. e.,

$$
\sum_{n=0}^{N-1}a_n T_n(0)=A,
$$
$$
\sum_{n=0}^{N-1}a_n T_n(inf)=B.
$$

My problem is here. How can I treat a boundary condition which leads to infinity somehow? For example$$
\sum_{n=0}^{N-1}a_n \frac{dT_n(inf)}{dx}=1,
$$

or even,

$$
\sum_{n=0}^{N-1}a_n T_n(inf)=inf.
$$

 

[pasmith]

I would suggest that you map [0, \infty) to [-1,1) by x \mapsto z = 2 \tanh(x) - 1 and use Chebyshev collocation on [-1,1] as normal, rewriting your operator L in terms of z using <br /> \frac{d}{dx} = \frac{dz}{dx}\frac{d}{dz} = 2\,\mathrm{sech}^{2}(x) \frac{d}{dz} <br /> = \left(\tfrac32 - z - \tfrac12 z^2\right)\frac{d}{dz} This has the advantage that you are working with functions which are bounded on a finite domain, so your solution will be also. It also avoids having most of your collocation points in [0,1) and the other at infinity.

You then have <br /> \begin{align*}<br /> f(x) &amp;= \sum_n a_n T_n(2 \tanh(x) - 1) \\<br /> f(\infty) &amp;= \sum_n a_n T_n(1)<br /> \end{align*}<br />

 

[Leonardo Machado]

I would suggest that you map [0, \infty) to [-1,1) by x \mapsto z = 2 \tanh(x) - 1 and use Chebyshev collocation on [-1,1] as normal, rewriting your operator L in terms of z using <br /> \frac{d}{dx} = \frac{dz}{dx}\frac{d}{dz} = 2\,\mathrm{sech}^{2}(x) \frac{d}{dz}<br /> = \left(\tfrac32 - z - \tfrac12 z^2\right)\frac{d}{dz} This has the advantage that you are working with functions which are bounded on a finite domain, so your solution will be also. It also avoids having most of your collocation points in [0,1) and the other at infinity.

You then have <br /> \begin{align*}<br /> f(x) &amp;= \sum_n a_n T_n(2 \tanh(x) - 1) \\<br /> f(\infty) &amp;= \sum_n a_n T_n(1)<br /> \end{align*}<br />

The problem is that the derivatives evaluated at infinity would still be zero aways, becase sech(infinity)=0. I mean,

$$
\sum_n a_n \frac{dT_n(x)}{dx}=\sum_n a_n 2 sech(x) \frac{dT^*_n(z)}{dz}
$$

evaluated at infinity still cannot be a finite number.

 

[pasmith]

I think if a function has a non-zero derivative at infinity then it's not going to be finite there.

Perhaps you could set f(x) = f&#039;(\infty)x + g(x) with g&#039;(\infty) = 0 and work with g instead. The boundary condition at x = \infty is then satisfied automatically. So in this case you don't need a collocation point at z = 1.

 

[Leonardo Machado]

I think if a function has a non-zero derivative at infinity then it's not going to be finite there.

Yes. Unfortunately this is part of this problem I am tr

Perhaps you could set f(x) = f&#039;(\infty)x + g(x) with g&#039;(\infty) = 0 and work with g instead. The boundary condition at x = \infty is then satisfied automatically. So in this case you don't need a collocation point at z = 1.

I was thinking about expanding the solution, just like you said, but with

$$
y(x)=u(x)+r= \sum_n a_n T_n(x) + r.
$$

This way of writting turns the condition

$$
\frac{dy(infinity)}{dx}=1,
$$

into

$$
\frac{du(infinity)}{dx}=0,
$$

which is easily solved. But I am not sure if it will have all the good properties of collocation methods. It is something that I must implement frist to judge.