1 | initial version |
One can define: ( r denotes the first row)
def negacyclic(r):
a=list(reversed(list(r[1:])))
c=[r[0]]+list(-vector(a))
return matrix.toeplitz(c,r[1:])
r=var('x',n=5)
negacyclic(r)
[ x0 x1 x2 x3 x4]
[-x4 x0 x1 x2 x3]
[-x3 -x4 x0 x1 x2]
[-x2 -x3 -x4 x0 x1]
[-x1 -x2 -x3 -x4 x0]
r=[1..5]
negacyclic(r)
[ 1 2 3 4 5]
[-5 1 2 3 4]
[-4 -5 1 2 3]
[-3 -4 -5 1 2]
[-2 -3 -4 -5 1]
2 | No.2 Revision |
One can define: ( r denotes the first row)
def negacyclic(r):
a=list(reversed(list(r[1:])))
a=reversed(list(r[1:]))
c=[r[0]]+list(-vector(a))
return matrix.toeplitz(c,r[1:])
r=var('x',n=5)
negacyclic(r)
[ x0 x1 x2 x3 x4]
[-x4 x0 x1 x2 x3]
[-x3 -x4 x0 x1 x2]
[-x2 -x3 -x4 x0 x1]
[-x1 -x2 -x3 -x4 x0]
r=[1..5]
negacyclic(r)
[ 1 2 3 4 5]
[-5 1 2 3 4]
[-4 -5 1 2 3]
[-3 -4 -5 1 2]
[-2 -3 -4 -5 1]