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Re: Suming InterpolatingFunction Objects

  • To: mathgroup at smc.vnet.net
  • Subject: [mg120236] Re: Suming InterpolatingFunction Objects
  • From: Oliver Ruebenkoenig <ruebenko at wolfram.com>
  • Date: Thu, 14 Jul 2011 07:14:09 -0400 (EDT)
  • References: <201107140922.FAA15682@smc.vnet.net>

On Thu, 14 Jul 2011, Gabriel Landi wrote:

> Hello everyone.
>
> I encountered the following problem, which I am not sure is a bug or simply
> a annoying detail.
> I will use as an example a piece of code from the mathematica tutorials.
>
> Say I solve a system of ODEs
>
> s = NDSolve[{x'[t] == -y[t] - x[t]^2, y'[t] == 2 x[t] - y[t]^3,
>   x[0] == y[0] == 1}, {x, y}, {t, 20}]
>
> My quantity of interest could be x[t] + y[t]. I can plot it:
>
> Plot[x[t] + y[t] /. s, {t, 0, 20}]
>
> But say I wish to store it as a single object.
> So I do (this is the kinky part):
>
> sum = FunctionInterpolation[x[t] + y[t] /. s, {t, 0, 20}]
>
> Now, when I plot the result, it comes out completely different. It looks
> like something changed with the interpolation order or something.
>
> Plot[sum[t], {t, 0, 20}]
>
> What do you guys think?
>
> Best regards,
>
> Gabriel
>

Gabriel,

here are two alternatives:

You could sample at more points via

sum = FunctionInterpolation[Evaluate[x[t] + y[t] /. s], {t, 0, 20},
   InterpolationPoints -> 100]


additionally specifying the derivatives may be a good idea:

sum = FunctionInterpolation[
   Evaluate[Table[
     D[Evaluate[x[t] + y[t] /. s], {{t}, k}], {k, 0, 2}]], {t, 0, 20},
   InterpolationPoints -> 30]
(* then you get away with less InterpolationPoints *)

or do it manually as follows:

The good thing here is that the NDSolve solutions are sampled at the same 
points.

tutorial/NDSolvePackages#120436095

s = NDSolve[{x'[t] == -y[t] - x[t]^2, y'[t] == 2 x[t] - y[t]^3,
    x[0] == y[0] == 1}, {x, y}, {t, 20}]

Needs["DifferentialEquations`InterpolatingFunctionAnatomy`"]

domain = InterpolatingFunctionDomain[if1]

{coords1} = InterpolatingFunctionCoordinates[if1];
{coords2} = InterpolatingFunctionCoordinates[if2];

Norm[coords1 - coords2, 1]

vals1 = InterpolatingFunctionValuesOnGrid[if1];
vals2 = InterpolatingFunctionValuesOnGrid[if2];

if3 = Interpolation[Transpose[{coords1, vals1 + vals2}]]

Plot[if3[x], {x, 0, 20}]

Hope this helps.

Oliver


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