E = toricVectorBundle(k,F,L1,L2)
For a given pure, full dimensional and pointed fan F the function toricVectorBundle generates the toric vector bundle of rank k given by the data in the two lists L1 and L2.
If no further options are given then the resulting bundle will be in Klyachko's description: The first list L1 will give the basis matrices and the second list L2 will give the filtration matrices. Then the resulting vector bundle will have these basis and filtration matrices. The number of matrices in L1 must match the number of rays of the fan and they must be in GL(k,$R$) for $R$ being ZZ or QQ. They will be assigned to the rays in the order they appear in rays F. The number of matrices in L2 must also match the number of rays, and they must be $1$ times k matrices over ZZ. The assignment order is the same as for the basis matrices.
Note that the basis and filtration matrices that are given to the function need not satisfy the compatibility condition. This can by checked by using regCheck.




If the option "Type" => "Kaneyama" is given then the resulting bundle will be in Kaneyama's description; Note that this is only implemented for complete, pointed fans: The first list L1 will give the degree matrices and the second list L2 will give the transition matrices. The number of matrices in L1 must match the number of maximal cones of the fan and they must be $n$ times k matrices over ZZ. They will be assigned to the cones in the order they appear in maxCones F. The number of matrices in L2 must match the number of pairs of maximal cones that intersect in a common codimensionone face and must all be in GL(k,QQ). They will be assigned to the pairs $(i,j)$ in lexicographic order.
Note that the degrees and transition matrices that are given to the function need not satisfy the regularity or the cocycle condition. These can be checked by using regCheck and cocycleCheck.



