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subtract a list of interpolating functions from another
*To*: mathgroup at smc.vnet.net
*Subject*: [mg48545] subtract a list of interpolating functions from another
*From*: sean_incali at yahoo.com (sean kim)
*Date*: Fri, 4 Jun 2004 04:51:04 -0400 (EDT)
*Sender*: owner-wri-mathgroup at wolfram.com
still stepwise ode accuracy related question, but...
consider two lists of three interpolating functions.
like below.
k1 = 1/10; k2 = 1/20;
a0[t_] := 0.5 /; t < 0 ;
a0[t_] := 0.5 /; 0 <= t <=20 ;
a0[t_] := 0.5 /; 20 <= t <=60 ;
a0[t_] := 0.5 /; 60 <= t <=400;
a = 0.5;
ndsolstep = NDSolve[{ b'[t] == -k2 b[t] y[t], x'[t] == -k1 a0[t] x[t]
+ k2 b[t] y[t], y'[t] == k1 a0[t] x[t] - k2 b[t] y[t], b[0] == 1,
x[0] == 1, y[0] == 0}, {b, x, y}, {t, 0, 0, 20, 60, 400, 400}, Method
-> ExplicitRungeKutta][[1]]
ndsol = NDSolve[{ b'[t] == -k2 b[t] y[t], x'[t] == -k1 a x[t] + k2
b[t] y[t], y'[t] == k1 a x[t] - k2 b[t] y[t], b[0] == 1, x[0] == 1,
y[0] == 0}, {b, x, y}, {t, 0, 400}][[1]]
will give two lists of
{b -> InterpolatingFunction[{{0., 400.}}, <>],
x -> InterpolatingFunction[{{0., 400.}}, <>],
y -> InterpolatingFunction[{{0., 400.}}, <>]}
one from normal system and another from stepwise defined( which has
Rob Knapp's fix in it) they should be same if not very close.
I thought maybe I would take a value of interpolating function at time
poiints and subtract to see the differences. (to check how close they
are)
ndsol[[1, 1]][0] - ndsolstep[[1, 1]][0]
Out[307]= 0
but all the time points i have chosen came back 0. (I chose the
discontinous time points 0, 20, 60, 400 )
i was gonna say that two different approaches(stepwise defined and
smooth) yielded exactly the same values , but I wasn't sure.
how would you guys do this?
thank you all very much in advance
sean
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