Ask Your Question
1

How to simplify `solve` result ($r_i$ variables)?

asked 2017-03-15 15:18:53 +0100

drzee gravatar image

I want to solve a system of linear equations (more variables than equations):

var('a, b, c')
eqn = [a+b+c==4, a+b-c==5]
s = solve(eqn, a, b, c); s

The result is shown like this:

$\left[\left[a = -r_{39} + \frac{9}{2}, b = r_{39}, c = \left(-\frac{1}{2}\right)\right]\right]$

But I would like to have a simplified representation, i.e., where $r_{39}$ in the first equation is replaced by $b$. Alternatively, is there a way to reset the counter of the $r_i$ variables? Each time I evaluate the code above, the counter is incremented.

edit retag flag offensive close merge delete

2 Answers

Sort by ยป oldest newest most voted
0

answered 2017-03-15 20:28:55 +0100

tmonteil gravatar image

Note that your case is very particular since in general, there is no reason why the free parameters coincide with some of the variables.

It is probably not be what you are looking for, but here is a generic way to deal with systems of linear equations:

sage: M = matrix(QQ,[[1,1,1],[1,1,-1]])
sage: M
[ 1  1  1]
[ 1  1 -1]

sage: part_sol = M.solve_right(vector([4,5])) ; part_sol
(9/2, 0, -1/2)

sage: kern = M.right_kernel() ; kern
Vector space of degree 3 and dimension 1 over Rational Field
Basis matrix:
[ 1 -1  0]
sage: kernel_basis = kern.basis()
[
(1, -1, 0)
]

Then the solution set is the sum of part_sol with any linear combination of the elements of the basis of the kernel, in your case it is : (9/2, 0, -1/2) + t*(1, -1, 0) for any t in your field (i chosed $\mathbb{Q}$).

edit flag offensive delete link more
1

answered 2017-03-15 19:10:53 +0100

dan_fulea gravatar image

Restarting the session also resets the $r_j$ Expression instances. The code cannot produce the solution in the form $b=b$ instead of $b=r_{39}$, and if it would, then i would like the other version.

If we know which variables are relevant, we could try to solve then only with respect to those variables. For instance:

sage: var('a,b,c');
sage: solve( [ a+b+c == 4, a+b-c == 5], [a, b] )
[]
sage: solve( [ a+b+c == 4, a+b-c == 5], [a, c] )
[[a == -b + 9/2, c == (-1/2)]]
sage: solve( [ a+b+c == 4, a+b-c == 5], [b, c] )
[[b == -a + 9/2, c == (-1/2)]]

Or the extended matrix of the system may give the necessary information.

A more fancy way to get the "relevant equations" would be to use the ideal generated by the equations, for instance:

sage: R.<a,b,c> = PolynomialRing( QQ )
sage: R
Multivariate Polynomial Ring in a, b, c over Rational Field
sage: J = R.ideal( [ a+b+c - 4, a+b-c -5 ] )
sage: J.groebner_basis()
[a + b - 9/2, c + 1/2]

and the above result can be digested as follows: The given equations $a+b+c - 4=0$, $a+b-c -5=0$ are equivalent with the two (simpler) equations $a + b - 9/2=0$, $c + 1/2=0$.

edit flag offensive delete link more

Your Answer

Please start posting anonymously - your entry will be published after you log in or create a new account.

Add Answer

Question Tools

1 follower

Stats

Asked: 2017-03-15 15:18:53 +0100

Seen: 822 times

Last updated: Mar 15 '17