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Off-diagonally symmetric alternating sign matrices

Nishu Kumari

TL;DR

This work advances the exact enumeration of off-diagonally symmetric alternating sign matrices (OSASMs). It develops generating and partition function formalisms for diagonally symmetric ASMs (DSASMs) and OSASMs via a six-vertex model and Pfaffian techniques, then derives a complete product formula for the number of odd-order OSASMs by connecting to symplectic characters under a specialized parameter regime. It also proves a symmetry property for even-order OSASMs, showing a reflective invariance in the column-position statistic, and thereby resolves the remaining Behrend–Fischer–Koutschan conjectures on OSASM enumeration. The approach blends combinatorial model bijections, Pfaffian identities, and representation-theoretic objects (symplectic characters) to obtain exact counts and structural symmetries with potential broader implications for symmetry classes of ASMs.

Abstract

A diagonally symmetric alternating sign matrix (DSASM) is a symmetric matrix with entries $-1$, $0$ and $1$, where the nonzero entries alternate in sign along each row and column, and the sum of the entries in each row and column equals $1$. An off-diagonally symmetric alternating sign matrix (OSASM) is a DSASM, where the number of nonzero diagonal entries is 0 for even-order matrices and 1 for odd-order matrices. Kuperberg (Ann. Math., 2002) studied even-order OSASMs and derived a product formula for counting the number of OSASMs of any fixed even order. In this work, we provide a product formula for the number of odd-order OSASMs of any fixed order. Additionally, we present an algebraic proof of a symmetry property for even-order OSASMs. This resolves all the three conjectures of Behrend, Fischer, and Koutschan (arXiv, 2023) regarding the exact enumeration of OSASMs.

Off-diagonally symmetric alternating sign matrices

TL;DR

This work advances the exact enumeration of off-diagonally symmetric alternating sign matrices (OSASMs). It develops generating and partition function formalisms for diagonally symmetric ASMs (DSASMs) and OSASMs via a six-vertex model and Pfaffian techniques, then derives a complete product formula for the number of odd-order OSASMs by connecting to symplectic characters under a specialized parameter regime. It also proves a symmetry property for even-order OSASMs, showing a reflective invariance in the column-position statistic, and thereby resolves the remaining Behrend–Fischer–Koutschan conjectures on OSASM enumeration. The approach blends combinatorial model bijections, Pfaffian identities, and representation-theoretic objects (symplectic characters) to obtain exact counts and structural symmetries with potential broader implications for symmetry classes of ASMs.

Abstract

A diagonally symmetric alternating sign matrix (DSASM) is a symmetric matrix with entries , and , where the nonzero entries alternate in sign along each row and column, and the sum of the entries in each row and column equals . An off-diagonally symmetric alternating sign matrix (OSASM) is a DSASM, where the number of nonzero diagonal entries is 0 for even-order matrices and 1 for odd-order matrices. Kuperberg (Ann. Math., 2002) studied even-order OSASMs and derived a product formula for counting the number of OSASMs of any fixed even order. In this work, we provide a product formula for the number of odd-order OSASMs of any fixed order. Additionally, we present an algebraic proof of a symmetry property for even-order OSASMs. This resolves all the three conjectures of Behrend, Fischer, and Koutschan (arXiv, 2023) regarding the exact enumeration of OSASMs.

Paper Structure

This paper contains 5 sections, 8 theorems, 84 equations, 1 figure, 1 table.

Key Result

Theorem 3.1

The DSASM partition function is given by

Figures (1)

  • Figure 1: A grid graph $T_n$

Theorems & Definitions (11)

  • Theorem 3.1: behrend2023diagonally
  • Lemma 3.2: behrend2023diagonally
  • Theorem 4.1: behrend2023diagonally
  • proof : First proof of \ref{['odd-osasm']}
  • Corollary 4.2
  • Theorem 4.3
  • proof
  • Corollary 4.4
  • Corollary 4.5
  • Theorem 5.1: behrend2023diagonally
  • ...and 1 more