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GaudinPermanent

Abstract

The Cauchy permanent equals a Gaudin determinant by interpolation and induction.

Definition 1.1 (cauchy).

Formalization. D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.cauchy (✓ std3).

Citation. Alexandre Faribault, Dirk Schuricht (2012). On the determinant representations of Gaudin models’ scalar products and form factors. DOI: 10.1088/1751-8113/45/48/485202. URL: https://arxiv.org/abs/1207.2352v2.

Commentary.

The reciprocal-difference matrix uses zero-based row and column parameters.

Definition 1.2 (baryDerivative).

Formalization. D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.baryDerivative (✓ std3).

Citation. Alexandre Faribault, Dirk Schuricht (2012). On the determinant representations of Gaudin models’ scalar products and form factors. DOI: 10.1088/1751-8113/45/48/485202. URL: https://arxiv.org/abs/1207.2352v2.

Commentary.

The diagonal is the sum of the reciprocal node differences; the off-diagonal entries are their individual reciprocals.

Definition 1.3 (gaudin).

Formalization. D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin (✓ std3).

Citation. Alexandre Faribault, Dirk Schuricht (2012). On the determinant representations of Gaudin models’ scalar products and form factors. DOI: 10.1088/1751-8113/45/48/485202. URL: https://arxiv.org/abs/1207.2352v2.

Commentary.

Subtracting the barycentric differentiation matrix gives the Gaudin matrix in the reciprocal-difference sign convention.

Theorem 1.4 (gaudin_mulVec).

Proof. Machine-checked in Lean as D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin_mulVec (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Igor Rivin (2026). Permanents of matrix ensembles: computation, distribution, and geometry. URL: https://arxiv.org/abs/2602.10141v3.

Commentary.

Differentiating Lagrange interpolation describes the action on weighted polynomial evaluations.

Theorem 1.5 (nodal_derivative_nonroot).

Proof. Machine-checked in Lean as D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.nodal_derivative_nonroot (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Igor Rivin (2026). Permanents of matrix ensembles: computation, distribution, and geometry. URL: https://arxiv.org/abs/2602.10141v3.

Commentary.

Away from every node, differentiating the nodal product gives its logarithmic derivative.

Theorem 1.6 (gaudin_permanent).

Proof. Machine-checked in Lean as D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin_permanent (✓ std3). ∎

Citation. Alexandre Faribault, Dirk Schuricht (2012). On the determinant representations of Gaudin models’ scalar products and form factors. DOI: 10.1088/1751-8113/45/48/485202. URL: https://arxiv.org/abs/1207.2352v2.

Commentary.

The row nodes are distinct and avoid every column parameter. Column parameters may repeat. Interpolating a determinant polynomial after its top coefficient vanishes reduces the identity to the permanent expansion at the preceding order.

References

  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.baryDerivative
  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.cauchy
  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin
  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin_mulVec
  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.gaudin_permanent
  • Truth anchor: D5/S3/Combinatorics/Permanental/CycleGeodesic/GaudinPermanent.nodal_derivative_nonroot