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solutions to polynomial system avoiding some "trivial" ones
https://www.singular.uni-kl.de/forum/viewtopic.php?f=10&t=2960
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Author:  laurentb [ Fri Sep 10, 2021 3:40 pm ]
Post subject:  solutions to polynomial system avoiding some "trivial" ones

I'm completely new to Singular, and wish to obtain "non-trivial" solutions to a system of equations. More precisely, I create a ring
Code:
ring r = 0,(u(1..5),v(1..5),x(1..5),y(1..5)),lp;

and an ideal
Code:
ideal i = ...;

and its Gröbner basis. I want to find u(...),v(...),x(...),y(...) that satisfy the equations in i. Two problems:
(1) i has positive dimension (actually projective of dimension 11, degree 25), so
Code:
LIB "solve.lib"; solve(i);
does not work
(2) there are some trivial solutions, for example u=x,v=y which I want to avoid

I tried to specialize some variables at random (by defining ideal j = i,u(1)-1,...), but didn't manage to find a non-trivial 0-dimensional ideal in this manner, so something more systematic is welcome!

Author:  leonada [ Sun Oct 10, 2021 9:12 pm ]
Post subject:  Re: solutions to polynomial system avoiding some "trivial" ones

Avoiding trivialities can be done by using saturation, so relative to ideals such as ideal j=u-v. This can be found in Singular.

Finding varieties that are not 0-dimensional from a lex GB is more problematic.
These are usually not implemented.

Look up elimination and extension on the web.
I wrote Macaulay2 code for this in a 2019 paper (on arXiv) using multi-homogeneous coordinates rather than projective ones,
as I thought this did what was in Cox, Little, O'Shea without having to deal with exceptions.
But I'm sure there are other papers on the subject as well.

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