determine consistency of nonlinear system of equations

asked 2011-12-08 14:32:48 +0100

shacsmuggler
115 ●4 ●9 ●14

Hello,

I need to be able to determine the consistency of very large systems of polynomial equations, with 30-40 variables and as many equations. When I put such systems into solve, I get the same system back again. Here are some equations typical of those in the systems I am dealing with:

2*a0*b0 == 0,

2*a0*b5 + 2*a1*b4 + 2*a4*b1 + 2*a5*b0 - 4*a8*b8 == 0,

2*a0*b10 + 2*a1*b9 + 2*a10*b0 + 2*a2*b8 + 2*a8*b2 + 2*a9*b1 == 0,

3*b0^2*c6 + 6*b0*b1*c5 + 6*b0*b2*c4 + 6*b0*b4*c2 + 6*b0*b5*c1 + 6*b0*b6*c0 - 12*b0*b8*c9 - 12*b0*b9*c8 + 3*b1^2*c4 + 6*b1*b4*c1 + 6*b1*b5*c0 - 12*b1*b8*c8 + 6*b2*b4*c0 - 6*b8^2*c1 - 12*b8*b9*c0 + 2*a0*a6 + 2*a1*a5 + 2*a2*a4 - 4*a8*a9 == 0

This is not a complete system - just a few equations to show the lengths of equations that tend to come up. Again, I don't care what any solutions are; I just need to know if any exist. Is there a way to do this in sage?

Thanks!

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sage: R.<x,y> = QQ[] sage: R.ideal([x*y]).dimension() # solution is x=0 and y=0 plane intersecting at origin 1 sage: R.ideal([x*y,y-1]).dimension() # only solution x=0, y=1 0 sage: R.ideal([x*y,y-1,x-1]).dimension() # inconsistent -1

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But be warned that computing the (Krull) dimension of an ideal requires a Gröbner basis computation (that's done internally), which, depending on the problem, might be very very difficult. My experience is that it is always worth trying, but the OP shouldn't be too disappointed if it doesn't work.

Simon King ( 2011-12-09 17:02:30 +0100 )edit

Just a comment for completeness: the groebner basis aproach is the right way to go... if we care about solutions in a field that is algebraically closed. If we are trying to discuss if a system of equations has real solutions, its a much harder problem.

mmarco ( 2011-12-10 20:31:35 +0100 )edit

Great answer! Thanks.

shacsmuggler ( 2011-12-19 19:48:59 +0100 )edit

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