I have the following code in maxima to calculate the laplacian of a function in parabolic coordinates.
assume(r≥0)$
assume(theta≥0,theta≤2*π)$
load(vect)$
derivabbrev:true$
scalefactors(parabolic)$
declare(f,scalar)$
depends(f,rest(parabolic))$
ev(express(laplacian(f)),diff,expand,factor);
What is the proper way to run those Maxima commands in SageMath?
Thanks,
Daniel
Try placing the magic %maxima at the beginning of a Sage cell. Then, you can execute Maxima commands.
I am not sure that I fully understand the question, but in SageMath you may do the following:
sage: M = Manifold(2, 'M') # the 2-dimensional plane as a smooth manifold
sage: X.<s,t> = M.chart() # parabolic coordinates
sage: g = M.riemannian_metric('g') # the standard Euclidean metric in the plane
sage: g[0,0] = s^2 + t^2 # the metric coefficient g_{ss}
sage: g[1,1] = s^2 + t^2 # the metric coefficient g_{tt}
sage: g.display()
g = (s^2 + t^2) ds*ds + (s^2 + t^2) dt*dt
sage: F = M.scalar_field(function('f')(s,t)) # a generic smooth function M --> R
sage: nabla = g.connection() # the Levi-Civita connection associated with g
sage: lapF = nabla(nabla(F).up(g)).trace() # the Laplacian of F
sage: lapF.display()
M --> R
(s, t) |--> (d^2(f)/ds^2 + d^2(f)/dt^2)/(s^2 + t^2)
sage: lapF.expr() # the coordinate expression of Lap(F) as a symbolic expression
(diff(f(s, t), s, s) + diff(f(s, t), t, t))/(s^2 + t^2)
sage: lapF.coord_function() # same thing but with abriged notations
(d^2(f)/ds^2 + d^2(f)/dt^2)/(s^2 + t^2)
Asked: 2017-12-16 16:47:28 +0100
Seen: 1,419 times
Last updated: Dec 17 '17
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