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Confluent Negative Jet Block

Abstract

An invertible jet multiplier transports Hardy positivity to strict negativity and exact finite negative inertia.

Theorem 1.1 (The confluent jet block is strictly negative).

Proof. Machine-checked in Lean as D5/S3/Analytic/ReflectedSpectrum/ConfluentNegativeJetBlock.confluent_negative_jet_block (✓ std3). ∎

Source. Repository-derived.

Commentary.

The source’s analytic zero cancellation and multiplication Leibniz rule are recorded as the factorization G equals minus L star H L. The Hardy derivative-evaluation Gram matrix H is positive definite, and the lower-triangular jet multiplier L is invertible.

Positive definiteness is preserved by invertible congruence. Hence minus G is positive definite, so G is strictly negative definite. All m eigenvalues are negative, giving exact negative index m and therefore the stated lower bound with equality.

Theorem 1.2 (Exact inertia implies the source lower bound).

Proof. Machine-checked in Lean as D5/S3/Analytic/ReflectedSpectrum/ConfluentNegativeJetBlock.confluent_negative_jet_block_index_lower_bound (✓ std3). ∎

Source. Repository-derived.

Commentary.

This is the inequality-facing projection of the exact finite inertia theorem: the negative index is at least the jet order m.

References

  • Truth anchor: D5/S3/Analytic/ReflectedSpectrum/ConfluentNegativeJetBlock.confluent_negative_jet_block
  • Truth anchor: D5/S3/Analytic/ReflectedSpectrum/ConfluentNegativeJetBlock.confluent_negative_jet_block_index_lower_bound
  • Dependency: D5/S3/SpectralTopology/FiniteSpectralLocalizer