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oscarbenjamin on master
Bugfix in `minimal_polynomial()… Give `AlgebraicNumber` a `to_ro… Improve `AlgebraicNumber.to_roo… and 10 more (compare)
Hi all -- I'm looking at how to differentiate expressions involving IndexedBase objects. When I run the following code:
import sympy
n = sympy.symbols('n', integer=True)
M = sympy.IndexedBase('M', shape=(n, n))
x = sympy.IndexedBase('x', shape=n)
i = sympy.Idx('i', n)
j = sympy.Idx('j', n)
k = sympy.Idx('k', n)
energy = 0.5 * M[i, j] * x[i] * x[j]
print(sympy.simplify(energy.diff(x[k])))
I get an expression involving lots of Kronecker deltas. I feel it should be possible to simplify these out but I don't know how. Thoughts?
0.5 * (M[k, j] * x[j] + M[i, k] * x[i])
at the very least
tests finished: 4675 passed, 1 failed, 183 skipped, 127 expected to fail,
1 expected to fail but passed, in 1238.67 seconds
DO *NOT* COMMIT!