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