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.
A sparse determinant is by both cofactor expansion and row reduction
Example
Over ,
has determinant , both by cofactor expansion and by row reduction.
Facts & Assumptions
Given: The displayed matrix .
is a commutative ring (The integers form a commutative ring).
Laplace expansion computes a determinant along every row and column (Laplace expansion computes the determinant along every row and every column over a commutative ring).
Adding a multiple of one row to another leaves the determinant unchanged (For every square matrix, including singular ones, a row swap negates the determinant, scaling a row by any scalar scales it, and row addition leaves it unchanged).
A triangular determinant is the product of its diagonal entries (The determinant of a triangular matrix is the product of its diagonal entries).
Verification
Expand along the last row. Its only nonzero entry is in position , with positive cofactor sign, so
Alternatively, replace row by row times row (the third row by the third row minus four times the first row). The result is upper triangular with diagonal , and the operation does not change the determinant.
Expand the determinant along its last column. The only nonzero entry there is , again with positive sign, giving .
By [L3], the determinant in step 1.2 is .
Steps 2.1 and 2.2 give the same value by the two requested methods.
Depends on
- Laplace expansion computes the determinant along every row and every column over a commutative ring
- For every square matrix, including singular ones, a row swap negates the determinant, scaling a row by any scalar scales it, and row addition leaves it unchanged
- The determinant of a triangular matrix is the product of its diagonal entries
- The integers form a commutative ring
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
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