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help plot log[f[t]] vs a parameter using an ODE
*To*: mathgroup at smc.vnet.net
*Subject*: [mg81096] help plot log[f[t]] vs a parameter using an ODE
*From*: john <johnboy98105 at yahoo.com>
*Date*: Wed, 12 Sep 2007 03:47:26 -0400 (EDT)
I've solved the following equation for y[t].
eqn = y'[t] == a (y[t]/((y[t])^2 + b )) - c y[t] + d
keqn = eqn /. {a -> 10 , d -> 0.1 , c -> 1 , b -> 10 }
ksol = NDSolve[{keqn, y[0] == 0}, y, {t, 0, 200}]
Plot[y[t] /. ksol, {t, 0, 200}, PlotRange -> All];
Now I would like to plot the log of y[t] while varying a over a range
of values ( 0-40)
How will I accomplish this? It seems like I would have to solve the
DE while varying a a little at a time then take the log of it?
At first I thought the following will do the trick, but it didn't. I
was trygin to make varying parameter a into a function x[t] by using
interpolation.
{{x -> Interpolation[Range[0, 40]]}}
then
ParametricPlot[y[t], x[t], {t, 0, 200}]
generates
ParametricPlot::pllim: Range specification x[t] is not of the form {x,
xmin, xmax}
I'm trying to find the value of y[t] as a parameter a incerases from
0 to 40.
When the Log[y[t]] is plotted against parameter over the range of 0 to
40, that should show bistability.
Except y[t] will change as you vary a. and Log[y[t]] will change along
with it.
Thanks for any input.
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