A computer algebra system written in pure Python http://sympy.org/ . To get started to with contributing https://github.com/sympy/sympy/wiki/Introduction-to-contributing
smichr on master
_condsimp/Piecewise.eval mods trivial test changes irule printing under DEBUG cont… and 7 more (compare)
Sum
, replicating in a "single command" things likeGeneralSumOfSquares
class used here. Is there a paper I can reference/explanation, etc?
I'm having trouble learning the diffgeom
module. I'm trying to compute covariant derivatives in spherical coordinates and I feel like I'm missing something.
Here's what I'm working with:
from sympy import *
from sympy.abc import x, y, z, r, theta, phi
from sympy.diffgeom import CoordSystem, Manifold, Patch, TensorProduct as TP
R3 = Manifold("R3", 3)
S = Patch("S", R3)
relations = {
("Car3D", "Sph") : Lambda(
(x, y, z),
Matrix([
sqrt(x**2 + y**2 + z**2),
acos(z / sqrt(x**2 + y**2 + z**2)),
atan2(y, x),
])
),
("Sph", "Car3D"): Lambda(
(r, theta, phi),
Matrix([r * sin(theta) * cos(phi), r * sin(theta) * sin(phi), r * cos(theta)])
)
}
Car3D = CoordSystem("Car3D", S, [x, y, z], relations)
Sph = CoordSystem("Sph", S, [r, theta, phi], relations)
I can compute the metric tensor in spherical coordinates by doing the following:
g = (Car3D.jacobian(Sph) @ Car3D.jacobian(Sph).T).simplify()
However, this computes the metric tensor with respect to $x, y, z$, while I'd like to write the metric tensor with respect to $r, \theta, \phi$:
$\left[\begin{matrix}1 & 0 & 0\\0 & \frac{1}{x^{2} + y^{2} + z^{2}} & 0\\0 & 0 & \frac{1}{x^{2} + y^{2}}\end{matrix}\right]$
I can do a substitution, but it's kind of awkward:
x, y, z = Car3D.symbols
r, theta, phi = Sph.symbols
forward_subs = {
x: r * sin(theta) * cos(phi),
y: r * sin(theta) * sin(phi),
z: r * cos(theta)
}
g_sph = g.subs(forward_subs).simplify()
$\left[\begin{matrix}1 & 0 & 0\\0 & \frac{1}{r^{2}} & 0\\0 & 0 & \frac{1}{r^{2} \sin^{2}{\left(\theta \right)}}\end{matrix}\right]$
This gives me the expected metric tensor as a matrix but there's a lot of extra effort:
forward_subs
since the CoordinateSymbol
"x" does not exist until I create Car3D
, and I have to provide the forward and backward transformations to create Car3D
.I can convert the metric tensor Matrix
to a tensor expression as follows:
g_sph_tens = 0
for i, e_i in enumerate(Car3D.base_oneforms()):
for j, e_j in enumerate(Car3D.base_oneforms()):
g_sph_tens += g_sph[i, j] * TP(e_i, e_j)
However, computing the Christoffel symbol for g_sph_tens
using metric_to_Christoffel_2nd
gives all zeros, which is incorrect.
Can somebody help me out with this? It seems like I'm missing some fundamentals.
Hi, I want to learn SymPy to do some calculations. I am practicing with the electromagnetic Lagrangian term $F_{\mu\nu}F^{\mu\nu}$. I have defined $F$ in the way that is explained in the documentation but cannot figure out how to go from there to $E^2 + B^2$. How am I supposed to do this?
Up to now I have this:
Ex, Ey, Ez, Bx, By, Bz = sp.symbols('E_x E_y E_z B_x B_y B_z')
c = sp.symbols('c', positive=True)
F = spT.TensorHead('F', [Lorentz, Lorentz], spT.TensorSymmetry.fully_symmetric(-2))
repl = {Lorentz: sp.diag(1, -1, -1, -1)}
repl.update({F(-mu,-nu): [
[0, Ex/c, Ey/c, Ez/c],
[-Ex/c, 0, -Bz, By],
[-Ey/c, Bz, 0, -Bx],
[-Ez/c, -By, Bx, 0]]}
)
and I have tried (F(mu,nu)*F(-mu,-nu)).replace_with_arrays(repl, [mu,nu])
and also F(mu,nu).replace_with_arrays(repl, [mu,nu])*F(-mu,-nu).replace_with_arrays(repl, [mu,nu])
.
sympy.preview(expr, output="pdf", viewer="file", filename="DFN_equations.pdf", dvioptions=['-D', '1100'], euler=False)
I wanted to expand on my question from earlier since it may be too specific.
I am working through some equations from the theory of elasticity.
The differential equation I am trying to work with is the equation
for compatibility of small displacements in a strained isotropic elastic body.
This is written as
$(1 - 2\eta) v^i|^j_j + v^j|^i_j = 0$
where
$f^i|_j$
represents the covariant derivative of f with respect to j, and
$f^i|^j$
represents the covariant derivative of f with respect to j
with the j index raised (this convention is from Green and Zerna -
I don't know if this is a standard notation).
We can use solutions of the above differential equation to compute
the stress tensor as follows:
$\frac{\tau^{ij}}{\mu} = g^{js} v^i|_s + g^{ir} v^j|_r + \frac{2 \eta}{1 - 2 \eta} g^{ij} v^r|_r$
One of the solutions to the displacement equation is as follows:
$v_i = F|_i$
where F is a harmonic function.
What's a good way to
\limits
is.
\limits
puts them directly above or below the integral sign. That does seem better for non-inline mode, especially if the limits can be long.
I am working in a simple QFT calculation and would like to do it using Sympy to learn (and also check my result). I have found the Quantum Mechanics module but cannot see how to start using it for my purpose. I have defined these quantities:
import sympy.physics.quantum as Q
vacuum = Q.OrthogonalKet(0)
annihilation_op = Q.Operator('a')
creation_op = Q.Dagger(annihilation_op)
and now I want to tell Sympy that $a |n\rangle = \sqrt{n} | n-1 \rangle$ if $n>0$ else $0$ and $a^\dagger | n \rangle = \sqrt{n+1} | n+1 \rangle$. How would I do this? Also, how do I impose the commutation relations between $a$ and $a^\dagger$?
Hi all,
I am just a new user for SymPy. I am self learning this library for my undergrauate research. But in the middle of the process I am stucked with one code.
So I have defined a function with a subscript.
U_n= x^n + 1/x^n
When I consider (U_1)^3 I get (substitute n=1)
(U_1)^3 = (x+1/x)^3
Then after simplifying this I get
(U_1)^3 = (x^3 + 1/x^3) + 3(x+ 1/x)
But one can see this answer as
(U_1)^3 = U_3 + 3U_1
How to get the output in terms of U_n 's ?
Can someone please give an idea how to build this code using SymPy. It would be a very big help for my research.
Thank you very much.
Gayanath Chandrasena.
dr*(k-1) < dr*(k+1)
, which is obviously true, since dr = symbols('Delta',real=True,positive=True,nonzero=True)
and k = symbols('k',integer=True,real=True)
, yet sympy doesn't seem to thing this is the case. Am I doing something wrong?
Also I get
In [54]: print(ask(dr*(k-1) < dr*(k+1)))
None
but
In [55]: print(ask(dr*k-dr < dr*k+dr))
True