Pith. sign in

REVIEW 1 cited by

General derivative Thomae formula for singular half-periods

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1904.09333 v3 pith:BKRI5IQP submitted 2019-04-19 math.AG math.CV

classification math.AGmath.CV
keywords thetaderivativethomaeconstantsformulasecondcharacteristicsformulas
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

The paper develops the result of second Thomae theorem in hyperelliptic case. The main formula, called general Thomae formula, provides expressions for values at zero of the lowest non-vanishing derivatives of theta functions with singular characteristics of arbitrary multiplicity in terms of branch points and period matrix. We call these values derivative theta constants. First and second Thomae formulas follow as particular cases. Some further results are derived. Matrices of second derivative theta constants (Hessian matrices of zero-values of theta functions with characteristics of multiplicity two) have rank three in any genus. Similar result about the structure of order $3$ tensor of third derivative theta constants is obtained, and a conjecture regarding higher multiplicities is made. As a byproduct a generalization of Bolza formulas are deduced.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems

    cs.CV 2025-06 reject novelty 3.0 of 10

    A survey that organizes vision-language segmentation methods for intelligent transportation, but its synthesis is undermined by fabricated references and unverifiable benchmarks.

Pith tools