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.
Row rank equals column rank, and both equal the number of pivots
Statement
For every finite matrix over a field, Both dimensions equal the number of pivots in any echelon form of .
Facts & Assumptions
Given: A matrix and an echelon form of .
The nonzero rows of form a basis of the row space of (The nonzero rows of a row echelon form form a basis of the original row space).
Let be the reduced row echelon form of . The columns of whose indices are pivot columns of form a basis of the column space of (The columns of the original matrix indexed by pivot columns form a basis of its column space).
Row rank and column rank are the respective dimensions (Row space, column space, nullspace, row rank, column rank and matrix rank).
Proof
There is one nonzero echelon row for each pivot, so [L1] and [L3] make the row rank equal to the pivot count of . This applies to every echelon form of .
Let be the RREF of . Step 1.1 makes the number of pivots of equal to the row rank, while [L2] and [L3] make that same number equal to the column rank. Hence the two ranks are equal, and step 1.1 shows that both equal the pivot count of the originally chosen echelon form . This includes pivot count zero.
Depends on
Used by
- The rank of a matrix equals the rank of the linear map x↦ Ax Corollary
- The system Ax=b is consistent if and only if rank(A)=rank([A∣ b]) Corollary
- The rank and solution behaviour of a parameterised matrix change at one exceptional parameter Example
- Invertible matrix theorem: invertibility, full pivot rank, RREF I, trivial nullspace and unique solvability are equivalent Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 39 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
- D. Margalit and J. Rabinoff, Interactive Linear Algebra, §3.5 (standard reference, not scraped)
- J. Hefferon, Linear Algebra, 4th ed., Ch. Three, §IV.4 (standard reference, not scraped)