Hi,
I want to know about the "summation" function used in sympy.
The code should be according to the documentation but for summation, As
@asmeurer had mentioned earlier to me that- "he is not sure regarding the
summation function. That what sympy should be doing with it."
https://groups.google.c
Hello.
summation(exp(a*x), (x, 1.2, 1.5)) = 0 because a summation with an empty
set of indices k is zero by convention. This allows to say that summation
over disjoint set A and B is the summation over their union.
Maybe sympy should avoid the use of non integers for the lower and upper
bounds.
What i noticed is- what Aaron mentioned "As Mathematica or Maple have no
problems with this why should it be forbidden or not working nicely in
Sympy?" and i too think it would be better to have summation over
non-integers as it is used in Physics.
On Tuesday, February 3, 2015 at 1:37:36 PM UTC
Ok. In that case, summation(exp(a*x), (x, 1.2, 1.5)) = 0 is a normal
feature.
*Christophe BAL*
*Enseignant de mathématiques en Lycée **et développeur Python amateur*
*---*
*French math teacher in a "Lycée" **and **Python **amateur developer*
2015-02-03 9:11 GMT+01:00 Gaurav Dhingra :
> What i n
Hello Sir,
Sorry I am a bit late this year. I went through the Quantum Computation
module . I would like to work on the Quantum error correction,
Solovay-Kitaev algorithm, gate+circuit simplification using genetic
algorithms, etc.
I am currently working on thw W gate construction and implemen
Unfortunately, the quantum computation module currently doesn't have any
active maintainers. If you apply for GSoC and we like your proposal, we
will find someone to mentor it, but for now, don't be surprised if you
don't get any responses to requests for help like this. You may need to dig
through
Do physics applications actually use summation notation with noninteger
limits? If so, what convention do they use?
Aaron Meurer
On Tue, Feb 3, 2015 at 2:11 AM, Gaurav Dhingra wrote:
> What i noticed is- what Aaron mentioned "As Mathematica or Maple have no
> problems with this why should it be
@asmeurer. I only know they are used in summing the "half-integer" spins.
But i have no idea regarding the rules used.
On Wednesday, February 4, 2015 at 12:48:58 AM UTC+5:30, Aaron Meurer wrote:
>
> Do physics applications actually use summation notation with noninteger
> limits? If so, what con
On Tuesday, February 3, 2015 at 8:18:58 PM UTC+1, Aaron Meurer wrote:
> Do physics applications actually use summation notation with noninteger
> limits? If so, what convention do they use?
>
Summing over the states of fermions. But that's a convention.
> @asmeurer. I only know they are used
Code like this is used to do evaluation of quantum expressions, in this
case, the commutator, see [1]. These are used, for example, to evaluate
expressions or evaluate quantum operators applied to states.
Sean
[1]
https://github.com/sympy/sympy/blob/master/sympy/physics/quantum/commutator.py#L175
On Tue, Feb 3, 2015 at 1:52 PM, Francesco Bonazzi
wrote:
>
> On Tuesday, February 3, 2015 at 8:18:58 PM UTC+1, Aaron Meurer wrote:
>
>> Do physics applications actually use summation notation with noninteger
>> limits? If so, what convention do they use?
>>
>
> Summing over the states of fermions
You've discovered that SymPy is really bad at dealing with algebraic
expressions. I would recommend just sticking to what you did the first
time, instead of dealing with sqrt(lambda), just use lambda.
By the way, I don't think simplify() uses the new assumptions. You have to
literally use refine(
> I'd want that the links to the tutorials have enough descriptive text to
> that readers can decide which link to click.
> With that in place, I do not see much room for confusion.
>
What do you think the two links should say?
There is a lot of overlap between the two docs (intro, basics, an
>
> A brief description is - the sqrt(matrix determinant) is not equal to the
> product of the eigenvalues of matrix**(1/2).
>
> Could you please help a little bit in there...? Would what I am doing even
> be mathematically correct?
>
>>> var('a:d')
(a, b, c, d)
>>> m=Matrix(2,2,[a,b,c,d])
>>>
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