MatrixGaussianTheta
Abstract
For every natural rank r, real positive definite A and complex tau with positive imaginary part, theta A (-1/tau) equals (-i tau)^(r/2) divided by sqrt(det A), times theta (A^(-1)) tau. The power is principal and rank zero is included.
Definition 1.1 (Real matrix theta series).
Formalization. D5/S3/Fourier/MatrixGaussianTheta.theta (✓ std3).
Source. Repository-derived.
Commentary.
For each natural rank r, real coordinate matrix A and complex tau, theta A tau is the sum over all integer vectors a of exp(pi i tau Q_A(a)).
Theorem 1.2 (Upper half-plane norm convergence).
Proof. Machine-checked in Lean as D5/S3/Fourier/MatrixGaussianTheta.summable_norm_theta (✓ std3). ∎
Source. Repository-derived.
Commentary.
For every natural rank r, real positive definite A and complex tau with positive imaginary part, the norms of the terms defining theta A tau are summable.
Theorem 1.3 (Inverse-matrix theta inversion).
Proof. Machine-checked in Lean as D5/S3/Fourier/MatrixGaussianTheta.theta_inversion (✓ std3). ∎
Source. Repository-derived.
Commentary.
For every natural rank r, real positive definite A and complex tau with positive imaginary part, theta A (-1/tau) equals (-i tau)^(r/2) divided by sqrt(det A), times theta (A^(-1)) tau. The power is principal and rank zero is included.
References
- Truth anchor:
D5/S3/Fourier/MatrixGaussianTheta.summable_norm_theta - Truth anchor:
D5/S3/Fourier/MatrixGaussianTheta.theta - Truth anchor:
D5/S3/Fourier/MatrixGaussianTheta.theta_inversion - Dependency: D5/S3/Fourier/MatrixGaussianPoisson