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Let be a field, , and . If in , then the transfer-matrix trace series is
Statement
Let be a field, let , and let . Suppose that its characteristic polynomial is displayed as a product of linear factors in the base field,
where roots are repeated according to algebraic multiplicity. Then
and, formally,
When is a transfer matrix, this is the eigenvalue form of its closed-walk trace series.
Facts & Assumptions
Given: A field , a positive size , a matrix , and the displayed split factorisation of in .
For a transfer matrix, the closed-walk series is (Closed walks have trace and logarithmic-derivative generating functions).
The matrix defines the coordinate endomorphism (For , the coordinate endomorphism , with and ).
The characteristic polynomial of an endomorphism equals that of any representing matrix (The basis-independent characteristic polynomial of an endomorphism of a finite-dimensional space, including in dimension zero).
The trace of an endomorphism equals the trace of any representing matrix (The basis-independent trace of an endomorphism of a finite-dimensional vector space).
If , then for every polynomial (If in , then for every : the eigenvalues of are , counted with algebraic multiplicity).
When the characteristic polynomial splits, the trace is the sum of its roots with algebraic multiplicity (If in , then : trace is the sum of the eigenvalues counted with algebraic multiplicity).
The case of the repeated-pole formula is (Repeated poles expand formally as ).
Over a field, the commutative-ring matrix trace equals the published matrix trace (For matrices over a field, the commutative-ring trace agrees with the published matrix trace).
Proof
Let be the coordinate endomorphism from [L2]. By [L3], the given factorisation is also .
Apply [L5] to . The roots of are with the displayed multiplicities, so [L6] gives .
By [L4] and [L8], the left side in step 2.1 is in either trace convention. This proves the coefficient formula, including .
Multiply the coefficient formula by , sum formally over , and apply [L7] to each of the finitely many roots; this yields the displayed rational-series identity.
If is a transfer matrix, [L1] identifies the left side of step 4.1 with its closed-walk trace series. The split factorisation was assumed at the outset and is not inferred from algebraic closure or diagonalisation.
Depends on
- Closed walks have trace and logarithmic-derivative generating functions
- For $A\in M_n(R)$, the coordinate endomorphism $T_A:R^n\to R^n$, with $\det(T_A):=\det(A)$ and $\operatorname{adj}(T_A):=T_{\operatorname{adj}(A)}$
- The basis-independent characteristic polynomial $\chi_T$ of an endomorphism of a finite-dimensional space, including $\chi_T=1$ in dimension zero
- The basis-independent trace of an endomorphism of a finite-dimensional vector space
- If $\chi_T(x)=\prod_{i<n}(x-\lambda_i)$ in $F[x]$, then $\chi_{p(T)}(y)=\prod_{i<n}(y-p(\lambda_i))$ for every $p\in F[x]$: the eigenvalues of $p(T)$ are $p(\lambda_i)$, counted with algebraic multiplicity
- If $\chi_T(x)=\prod_{i<n}(x-\lambda_i)$ in $F[x]$, then $\operatorname{tr}(T)=\sum_{i<n}\lambda_i$: trace is the sum of the eigenvalues counted with algebraic multiplicity
- Repeated poles expand formally as $(1-\lambda x)^{-j}=\sum_{n\ge0}\binom{n+j-1}{j-1}\lambda^n x^n$
- For matrices over a field, the commutative-ring trace agrees with the published matrix trace
Used by
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Sources
- R. P. Stanley, Enumerative Combinatorics, vol. 1, 2nd ed., Corollaries 4.7.3-4.7.4 (standard reference, not scraped)
- H. Pinkham, Linear Algebra, Section 12.3 (standard reference, not scraped)