|
One of the main tools for working with analytic Jacobians is the theta
function. For instance it is used by FromAnalyticJacobian
and RosenhainInvariants. For c ∈R2g let
c' be the first g entries and c" the second g
entries of c. For such a c, z ∈Cg and τ an element of Siegel upper half-space
the classical multi-variable theta function is defined by
θ[c](z, τ) = ∑m ∈Zg exp (π i
()t(m + c')τ(m + c') + 2π i ()t(m + c')(z + c")).
The vector c is called the characteristic of the
theta function.
This computes the multidimensional theta function with characteristic
char (a 2g x 1 matrix) at z (a g x 1 matrix) and
τ (a symmetric g x g matrix with positive definite imaginary
part).
This computes the multidimensional theta function with characteristic
char (a 2g x 1 matrix) at z (a g x 1 matrix)
and τ, the small period matrix of the analytic Jacobian
A. This function caches the values of theta null values (z = 0)
at half-integer characteristics.
[Next][Prev] [Right] [Left] [Up] [Index] [Root]
|