Keyboard shortcuts

Press or to navigate between chapters

Press ? to show this help

Press Esc to hide this help

Weil-Square Positivity Criterion

Abstract

Relative to supplied zero data, nonnegativity of every repository Weil-square zero sum implies the Riemann hypothesis and is equivalent to it.

Theorem 1.1 (Weil-square positivity implies the Riemann hypothesis).

Proof. Machine-checked in Lean as D5/S3/Weil/Separator/WeilSquarePositivityCriterion.weilSquarePositivity_implies_rh (✓ std3). ∎

Source. Repository-derived.

Commentary.

A zero in the open right half-strip is a nontrivial zero and is therefore represented by the supplied ZeroData. The frozen off-line separator produces a convolution square with negative zero-sum real part, contradicting the assumed nonnegativity.

The frozen right-half-strip reduction turns that exclusion into the Riemann hypothesis. No separator or zeta-reduction fact is reproved here.

Theorem 1.2 (RH is equivalent to Weil-square positivity).

Proof. Machine-checked in Lean as D5/S3/Weil/Separator/WeilSquarePositivityCriterion.rh_iff_weilSquarePositivity (✓ std3). ∎

Source. Repository-derived.

Commentary.

The reverse implication is the preceding separator argument. The forward implication is the frozen RH-to-positivity theorem.

Both statements are relative to a supplied ZeroData; this module does not assert that ZeroData exists, and the M1-b existence obligation remains open.

The right side is positivity for this repository’s zeroSum, convolutionSquare, and WeilTestFunction definitions. It is not a literal transcription of Weil’s explicit-formula criterion, and the conditional equivalence is not an unconditional proof of RH.

References