I'm off of work this week so I'm generally around.  As a warning I've been
playing around with logpy recently and will probably push that a little bit.


On Fri, Mar 28, 2014 at 4:14 PM, Ondřej Čertík <[email protected]>wrote:

> Do you want to do a G+ hangout about this? Looks like there are couple
> options to go about this, it might be the fastest to brainstorm this
> face to face.
>
> Ondrej
>
> On Fri, Mar 28, 2014 at 8:29 AM, Matthew Rocklin <[email protected]>
> wrote:
> > Maybe tensor indices should be identified as variables/wilds in
> unification
> > ?  Should A(i, j, -j) unify to A(a, b, -b)?
> >
> >
> > On Fri, Mar 28, 2014 at 5:38 AM, F. B. <[email protected]> wrote:
> >>
> >> The second point concerns unification of tensor, there are some issues
> on
> >> contracted indices, with some boilerplate
> >>
> >> from sympy.tensor.tensor import *
> >> L = TensorIndexType('L')
> >> i0, i1, i2 = tensor_indices('i0:3', L)
> >> A = tensorhead('A', [L]*2, [[1]*2])
> >>
> >> The arguments
> >>
> >> >>> A(i0, i1).args
> >> (1, (A(L,L),), (i0, i1))
> >>
> >> >>> A(i0, -i0).args
> >> (1, (A(L,L),), (dummy_index_0, -dummy_index_0))
> >>
> >>
> >>
> >>
> >> That is, the third argument is the list of indices, and in the
> contracted
> >> form the index i0 gets replaced by dummy_index_0, which makes
> unification
> >> hard:
> >>
> >> >>> from sympy.unify import *
> >>
> >> >>> list(unify(A(i0, i1), A(i0, i2), {}, variables=[i2]))
> >> [{i2: i1}]
> >> >>> list(unify(A(i0, -i0), A(i1, -i1), {}, variables=[i1]))
> >> [{}]
> >>
> >>
> >>
> >> The second unify expression does not return anything because the
> arguments
> >> i0 and i1 have been substituted. A possible solution is to keep the
> >> arguments of a TensMul as they have been created, and store the
> >> dummy_index_0 inside the corresponding TIDS object.
> >>
> >> A possible implementation of TensorDerivative (by which I mean the
> >> derivatives usually employed to get the equation of motions from the
> >> Lagrangian in QFT) can simply rely on rewriterule contained in the unify
> >> module.
> >>
> >> The ability to define new objects such as TensorDerivative,
> >> PartialDerivative, CovariantDerivative is the primary reason why I want
> to
> >> make the tensor expression objects just containers, and possible
> transfer
> >> all index manipulation algorithms to either TIDS or a new object.
> >>
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