How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
For an invertible matrix over a field, Cayley-Hamilton makes every matrix-power entry and trace sequence linearly recurrent
Statement
Let be a field, let , and let be invertible. Write
Then , and for every pair the sequence , as well as the sequence , satisfies from the order- recurrence
Facts & Assumptions
Given: A field , a positive size , and an invertible matrix with the displayed characteristic polynomial.
Every finite-dimensional endomorphism satisfies its characteristic polynomial: (Cayley-Hamilton: every finite-dimensional endomorphism satisfies its characteristic polynomial, ).
A matrix defines the coordinate endomorphism (For , the coordinate endomorphism , with and ).
The operator characteristic polynomial is the characteristic polynomial of any representing matrix (The basis-independent characteristic polynomial of an endomorphism of a finite-dimensional space, including in dimension zero).
The matrix characteristic polynomial is (For , the characteristic polynomial is when , with for the unique matrix).
The trace of a field matrix is the finite sum of its diagonal entries (The trace as the sum of the diagonal entries).
An invertible positive-sized matrix over a commutative ring has unit determinant (An invertible square matrix over a commutative ring has unit determinant).
Proof
Apply [L1] to the coordinate endomorphism [L2]. By [L3], its characteristic polynomial is , so the representing matrices satisfy .
By [L4], the constant coefficient is . The determinant is a unit by [L6], so in the field and the relation has order under the page's recurrence convention.
Multiplying the identity in step 1.1 by gives for every .
Extracting the entry from step 2.1 proves the displayed recurrence for every matrix-power entry; summing its diagonal entries and using [L5] proves the same recurrence for the trace sequence.
Steps 3.1 and 1.2 establish both families of order- recurrences from .
Depends on
- Cayley-Hamilton: every finite-dimensional endomorphism satisfies its characteristic polynomial, $\chi_T(T)=0$
- 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
- For $A\in M_n(F)$, the characteristic polynomial is $\chi_A(x)=\det(xI_n-A)$ when $n\geq1$, with $\chi_A(x)=1$ for the unique $0\times0$ matrix
- The trace $\operatorname{tr}(A)$ as the sum of the diagonal entries
- An invertible square matrix over a commutative ring has unit determinant
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 79 results over 15 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- M. Waldschmidt, Linear Recurrence Sequences VI, slide 18 (standard reference, not scraped)