Evaluation¶

Evaluate this quadratic form Q on a matrix M of elements coercible to the base ring of the quadratic form, which in matrix notation is given by:

Q2 = M^t * Q * M.

Note: This is a Python wrapper for the fast evaluation routine QFEvaluateMatrix_cdef(). This routine is for internal use and is called more conveniently as Q(M). The inclusion of Q2 as an argument is to avoid having to create a QuadraticForm here, which for now creates circular imports.

INPUT:

• Q – QuadraticForm over a base ring R
• M – a Q.dim() x Q2.dim() matrix of elements of R

OUTPUT:

• Q2 – a QuadraticForm over R

EXAMPLES:

sage: Q = QuadraticForm(ZZ, 4, range(10)); Q
Quadratic form in 4 variables over Integer Ring with coefficients:
[ 0 1 2 3 ]
[ * 4 5 6 ]
[ * * 7 8 ]
[ * * * 9 ]
sage: Q2 = QuadraticForm(ZZ, 2)
sage: M = Matrix(ZZ, 4, 2, [1,0,0,0, 0,1,0,0]); M
[1 0]
[0 0]
[0 1]
[0 0]
sage: QFEvaluateMatrix(Q, M, Q2)
Quadratic form in 2 variables over Integer Ring with coefficients:
[ 0 2 ]
[ * 7 ]

Evaluate this quadratic form Q on a vector or matrix of elements coercible to the base ring of the quadratic form. If a vector is given then the output will be the ring element Q(v), but if a matrix is given then the output will be the quadratic form Q’ which in matrix notation is given by:

$Q' = v^t * Q * v.$

Note: This is a Python wrapper for the fast evaluation routine QFEvaluateVector_cdef(). This routine is for internal use and is called more conveniently as Q(M).

INPUT:

• Q – QuadraticForm over a base ring R
• v – a tuple or list (or column matrix) of Q.dim() elements of R

OUTPUT:

an element of R

EXAMPLES: