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A combinatorial proof of the trace Cayley-Hamilton theorem

Sudip Bera

TL;DR

The paper develops a graph-theoretic framework to reinterpret the characteristic polynomial and trace invariants of a matrix $A$ via a weighted digraph $\mathcal{D}(A)$. It shows that coefficients $d_i$ of $p_A(\lambda)$ relate to sign-weighted sums over linear subdigraphs and that $\text{Tr}(A^k)$ equals the total weight of closed walks of length $k$, establishing a direct combinatorial bridge between principal minors, LSDs, and traces. The main contribution is a complete combinatorial proof of the Trace Cayley–Hamilton identities, achieved through a sign-reversing involution that cancels contributions in two regimes: $r>n$ and $1\le r\le n$. This graphical interpretation provides explicit trace relations and deepens the connection between algebraic invariants and graph-theoretic structures.

Abstract

The deep interconnection between linear algebra and graph theory allows one to interpret classical matrix invariants through combinatorial structures. To each square matrix A over a commutative ring K, one can associate a weighted directed graph D(A), where the algebraic behavior of A is reflected in the combinatorial properties of D(A). In particular, the determinant and characteristic polynomial of A admit elegant formulations in terms of sign-weighted sums over linear subdigraphs of D(A), thereby providing a graphical interpretation of fundamental algebraic quantities. Building upon this correspondence, we establish a combinatorial proof of the trace Cayley-Hamilton theorem. This theorem furnishes explicit trace identities linking the coefficients of the characteristic polynomial of A with the traces of its successive powers.

A combinatorial proof of the trace Cayley-Hamilton theorem

TL;DR

The paper develops a graph-theoretic framework to reinterpret the characteristic polynomial and trace invariants of a matrix via a weighted digraph . It shows that coefficients of relate to sign-weighted sums over linear subdigraphs and that equals the total weight of closed walks of length , establishing a direct combinatorial bridge between principal minors, LSDs, and traces. The main contribution is a complete combinatorial proof of the Trace Cayley–Hamilton identities, achieved through a sign-reversing involution that cancels contributions in two regimes: and . This graphical interpretation provides explicit trace relations and deepens the connection between algebraic invariants and graph-theoretic structures.

Abstract

The deep interconnection between linear algebra and graph theory allows one to interpret classical matrix invariants through combinatorial structures. To each square matrix A over a commutative ring K, one can associate a weighted directed graph D(A), where the algebraic behavior of A is reflected in the combinatorial properties of D(A). In particular, the determinant and characteristic polynomial of A admit elegant formulations in terms of sign-weighted sums over linear subdigraphs of D(A), thereby providing a graphical interpretation of fundamental algebraic quantities. Building upon this correspondence, we establish a combinatorial proof of the trace Cayley-Hamilton theorem. This theorem furnishes explicit trace identities linking the coefficients of the characteristic polynomial of A with the traces of its successive powers.

Paper Structure

This paper contains 3 sections, 5 theorems, 18 equations, 9 figures.

Key Result

Lemma 1.1

Let $p_A(\lambda)$ be the characteristic polynomial of $A$ as in Eqn:c-h-thm,coeef-as-d, and let $\ell_i$ be defined by Eqn:Defn of lr;sgn sum of weightd of lsd of length r. Then, for each $i \in [n]$, we have

Figures (9)

  • Figure 1: The weighted directed graph $D(A)$ associated with the matrix $A.$
  • Figure 2: Linear subdigraphs of length $1.$
  • Figure 3: Linear subdigraphs of length $2.$
  • Figure 4: Closed walks of length $1.$
  • Figure 5: Closed walks of length $1$ formed by self-loop twice.
  • ...and 4 more figures

Theorems & Definitions (12)

  • Lemma 1.1
  • proof
  • Remark 1.2
  • Lemma 1.3
  • Lemma 1.4
  • proof
  • Remark 1.5
  • Theorem 2.1: Trace Cayley-Hamilton theorem
  • Theorem 2.2
  • Example 2.1: Complete Analysis for $n=2$
  • ...and 2 more