I have two equations that are parametrized by a variable "t". These look like:
X = p(t)
Y = q(t)
where p and q are polynomials in t. I want to use Python's SymPy library to eliminate the t variable and express Y = F(X) for some function X. I have tried using solve() in SymPy but this is not working too well. I know that Maple and Mathematica both have eliminate() functions that can accomplish this, but I wanted to know if Python might have a general function that does this.
I refer to this example from the 'Scope' section of https://reference.wolfram.com/language/ref/Eliminate.html.
Eliminate[2 x + 3 y + 4 z == 1 && 9 x + 8 y + 7 z == 2, z]
>>> from sympy import *
>>> var('x y z')
(x, y, z)
>>> solve(2*x+3*y+4*z-1, z)
[-x/2 - 3*y/4 + 1/4]
>>> solve(9*x+8*y+7*z-2, z)
[-9*x/7 - 8*y/7 + 2/7]
>>> (-9*x/7 - 8*y/7 + Rational(2,7))-(-x/2 - 3*y/4 + Rational(1,4)).simplify()
-11*x/14 - 11*y/28 + 1/28
>>> 28*((-9*x/7 - 8*y/7 + Rational(2,7))-(-x/2 - 3*y/4 + Rational(1,4)).simplify())
-22*x - 11*y + 1
z.z from the other.Rational because I forget other methods — so that fractional arithmetic is used.I hope this is useful.
Here is a lightly tested simple routine
def eliminate(eqs, z):
"""return eqs with parameter z eliminated from each equation; the first
element in the returned list will be the definition of z that was used
to eliminate z from the other equations.
Examples
========
>>> eqs = [Eq(2*x + 3*y + 4*z, 1),
... Eq(9*x + 8*y + 7*z, 2)]
>>> eliminate(eqs, z)
[Eq(z, -x/2 - 3*y/4 + 1/4), Eq(11*x/2 + 11*y/4 + 7/4, 2)]
>>> Eq(y,solve(_[1], y)[0])
Eq(y, -2*x + 1/11)
"""
from sympy.solvers.solveset import linsolve
Z = Dummy()
rv = []
for i, e in enumerate(eqs):
if z not in e.free_symbols:
continue
e = e.subs(z, Z)
if z in e.free_symbols:
break
try:
s = linsolve([e], Z)
if s:
zi = list(s)[0][0]
rv.append(Eq(z, zi))
rv.extend([eqs[j].subs(z, zi)
for j in range(len(eqs)) if j != i])
return rv
except ValueError:
continue
raise ValueError('only a linear parameter can be eliminated')
There is a more complex routine at this issue.
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