If I construct a vector-valued InterpolatingFunction, say with

f = Interpolation[{{0, {1,1}}, {1, {0,0}}, {2, {0,1}}, {3, {1,0}}}]

plotting the result works just fine. For example,

ParametricPlot[f[t], {t, 0, 3}]

draws a letter "alpha" in the plane. And, as Feyre pointed out, calling Integrate also works fine, with

Integrate[f[t], {t, 0, 3}]

returning {3/4, 3/2}. But Integrate can't deal with more complicated situations, returning unevaluated for even such simple variants as

Integrate[2 f[t], {t, 0, 3}]

More complicated cases can be handled numerically with NIntegrate, as long as the thing being integrated is a scalar. For example,

NIntegrate[f[t].f[t], {t, 0, 3}]

returns 1.78214. But if I try to NIntegrate a vector-valued InterpolatingFunction, even just:

NIntegrate[f[t], {t, 0, 3}]

version 10.0.2 of Mathematica gives me the error message:

NIntegrate::inum: Integrand 
   is not numerical at {t} = {0.00795732}. >>

In a case too complicated for Integrate, is there some way that I can convince NIntegrate to work, component by component, over such a vector?

  • $\begingroup$ There's always going to be a technique to find what you want, if everything else fails, just use Table[] and Total[] $\endgroup$
    – Feyre
    Sep 14 '16 at 22:15

You can use Indexed to access the components separately:

NIntegrate[Indexed[f[t], 1], {t, 0, 3}]
NIntegrate[Indexed[f[t], 2], {t, 0, 3}]

Integrate will antidifferentiate an InterpolatingFunction. You can then subtract its values at the end points.

af = Head@Integrate[f[t], t];
af[3] - af[0]
(*  {3/4, 3/2}  *)

You can also write your own integration rule to plug into NIntegrate, but that takes a little work.


You can use NDSolve to integrate your interpolating function:

f = Interpolation[{{0,{1,1}},{1,{0,0}},{2,{0,1}},{3,{1,0}}}];

NDSolveValue[{y'[x] == f[x], y[0] == {0, 0}}, y[3], {x, 0, 3}]

{0.75, 1.5}

Here is a more complicated integrand:

NDSolveValue[{y'[x] == f[x]^2 Sin[x], y[0] == {0, 0}}, y[3], {x, 0, 3}]

{0.148276, 0.887794}


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