I'm working on mapping a temperature gradient in two dimensions and having a lot of trouble. My current approach is to define an Interpolating Function and then try to graph it a lot of times, then animate that table of graphs. Here's what I have so far:
RT = 388.726919
R = 1
FUNC == NDSolve[{D[T[x, y, t], t] ==
RT*(D[T[x, y, t], x, x] + D[T[x, y, t], y, y]),
T[x, y, 0] == 0,
T[0, y, t] == R*t,
T[9, y, t] == R*t,
T[x, 0, t] == R*t,
T[x, 9, t] == R*t},
T, {x, 0, 9}, {y, 0, 9}, {t, 0, 6}]
So the first two variables just control the rate of change. The equation I'm solving is the basic 2D heat equation, where dT/dt=a(d^2T/dx^2+d^2T/dy^2). The initial conditions set everything to 0, then define the edges as the source of the heat change. Right now it sweeps over a 9x9 block from t=0 to t=6.
The second part attempts to animate the function working.
ListAnimate[
Table[
DensityPlot[T[x, y, t] /. FUNC, {x, 0, 9}, {y, 0, 9}, Mesh -> 9]
, {t, 0, 6}]
]
Unfortunately, this doesn't work, and I'm going crazy trying to figure out why. I first thought it had something to do with the Interpolating Function but now I'm not so confident that the animating code works either. Anyone have any ideas?
Just a quick check:
PS: A lot of mistakes are avoided by using a lowercase letter as the first char for your symbols...
I'm with Mark -- there is nothing wrong with your program. The problem is that nothing interesting happens to your function after
t=0
: Try having a look atAs you can see, all that happens is a scaling, so that when
DensityPlot
rescales each frame independently, they end up looking identical :)