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The characterization of an Alternating Sign Matrix using a triplet

Toyokazu Ohmoto

TL;DR

The paper establishes a cohesive framework to characterize Alternating Sign Matrices (ASMs) by linking them to the six-vertex model and to height functions through a per-entry triplet $({a}_{i,j},{c}_{i,j},{r}_{i,j})$. It then derives a bijection between ASM data and height functions via the explicit formula ${h}_{i,j}=i+j-2\sum_{1\le k\le i,1\le l\le j}{a}_{k,l}$ with an explicit inverse, enabling a transfer of combinatorial structure between ASMs, SV configurations, and height-function matrices. The work further integrates the Fully Packed Loop (FPL) perspective, defining link patterns and operators on them, and develops Wieland gyration and dihedral-symmetry theory to study symmetry-induced refinements of counts. Finally, it constructs a vector-space framework on link patterns, introduces projection and Hamiltonian-like operators, and outlines future research directions including half-turn ASMs and potential connections to root systems. Overall, the paper provides a concrete, triplet-based blueprint to translate ASM enumeration problems into combinatorial and algebraic settings linked to SV, FPL, and height-function formalisms, with symmetry principles guiding structure and potential extensions.

Abstract

Alternating Sign Matrix(ASM for short) is a square matrix which is consist of 0, 1 and -1. In this paper, we characterize an ASM by showing a bijection between alternating sign matrix and six vertex model, and a bijection between six vertex model and height function. In order to show these bijections, we define a triplet $({a}_{i, j}, {c}_{i, j}, {r}_{i, j})$ for each entry of an ASM. We also define a \textsl{track} for each index of height function, and state more properties of height function.

The characterization of an Alternating Sign Matrix using a triplet

TL;DR

The paper establishes a cohesive framework to characterize Alternating Sign Matrices (ASMs) by linking them to the six-vertex model and to height functions through a per-entry triplet . It then derives a bijection between ASM data and height functions via the explicit formula with an explicit inverse, enabling a transfer of combinatorial structure between ASMs, SV configurations, and height-function matrices. The work further integrates the Fully Packed Loop (FPL) perspective, defining link patterns and operators on them, and develops Wieland gyration and dihedral-symmetry theory to study symmetry-induced refinements of counts. Finally, it constructs a vector-space framework on link patterns, introduces projection and Hamiltonian-like operators, and outlines future research directions including half-turn ASMs and potential connections to root systems. Overall, the paper provides a concrete, triplet-based blueprint to translate ASM enumeration problems into combinatorial and algebraic settings linked to SV, FPL, and height-function formalisms, with symmetry principles guiding structure and potential extensions.

Abstract

Alternating Sign Matrix(ASM for short) is a square matrix which is consist of 0, 1 and -1. In this paper, we characterize an ASM by showing a bijection between alternating sign matrix and six vertex model, and a bijection between six vertex model and height function. In order to show these bijections, we define a triplet for each entry of an ASM. We also define a \textsl{track} for each index of height function, and state more properties of height function.
Paper Structure (24 sections, 9 theorems, 47 equations, 25 figures, 1 table)

This paper contains 24 sections, 9 theorems, 47 equations, 25 figures, 1 table.

Key Result

Lemma 3.1

Let $m$ and $n$ be positive integers. For any state of six vertex model on ${L}_{m, n}$, the number of bounday edge which comes in the boundary vertex equals $m + n$.

Figures (25)

  • Figure 1: ${L}_{3}$
  • Figure 2: An example of boundary condition
  • Figure 3: An example of a state of Six vertex model
  • Figure 4: an example of FPL on ${L}_{3}$
  • Figure 5: ${\tau}_{+}$ when $n = 3$
  • ...and 20 more figures

Theorems & Definitions (24)

  • Definition 2.1
  • Definition 2.2
  • Lemma 3.1
  • Corollary 3.1
  • Definition 3.1
  • Definition 3.2
  • Proposition 3.1
  • proof
  • Proposition 3.2
  • proof
  • ...and 14 more