I have a list of equations in multiple variables and therefor need to know if this list has a unique solution, if I had the coefficientmatrix this would be easily done by calculating the rank. So the question is, is there a fast way to transform the list of equations to a matrix?
I'm not aware of anything easy, although someone might suggest a shorter method using a polynomial ring. Here is what I've cooked up:
var('x y z')
eqs = [3*x+2*y+z == -4, 2*x-3*y+5*z==2,7*x+2*y-3*z==0]
lhs = map(lambda a: a.lhs(),eqs)
m=[]
for leftside in lhs:
m.append(map(lambda w: w.subs(x=1,y=1,z=1),leftside.operands()))
M=matrix(m)Thank you! this is already very helpfull! although this does not work if not all equations are explicitly in all the variables. For example [x+y = 0, x+z = 5]
this code does work even with coefficients that are 0 but doesn't look pretty, can someone help me make it simpler?
s = list(var('x y z'))
eqs = [3*x+z == -4, 2*x-3*y+5*z==2,7*x+2*y-3*z==0]
lhs = map(lambda a: a.lhs(),eqs)
m = []
for leftside in lhs:
for i in range(3):
if leftside.coeff(s[i],1 ) == 0:
m.append(0)
else:
m.append(leftside.coeff(s[i],1 ))
M=matrix(3,m)
MAsked: 10 years ago
Seen: 281 times
Last updated: Dec 20 '14
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