Linear and multilinear algebra; matrix theory Systems of linear equations Theorem
Row rank equals column rank
Builds on Rank of a matrixRow spaceTranspose
Statement
Let be a field and let be an matrix over . Then the dimension of the row space of equals the dimension of the column space of . Equivalently, , where is the transpose.
Remarks
One proof uses row reduction: row operations keep the row space and the dimension of the column space. In reduced row echelon form, both dimensions equal the number of pivots. Another proof uses the annihilator: the dual map has the transposed matrix and the same rank. Over , also .
Reading path
To understand this page from the ground up, read these 15 pages in order. The foundations come first.
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- no evidence level
- Matrix definition
- Vector space definition
- Transpose definition
- Linear combination definition
- Linear subspace definition
- Linear independence definition
- Linear span definition
- Column space definition
- Row space definition
- Spanning set definition
- Basis definition
- Finite-dimensional vector space definition
- Dimension definition
- Rank of a matrix definition
- Row rank equals column rank statement
Further reading
- Web https://en.wikipedia.org/wiki/Rank_(linear_algebra), Proofs that column rank = row rank
About this page
| Tag | 0TZAG60ZYT |
|---|---|
| URI | m2://0TZAG60ZYT |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 15A03 |
| Status | This copy of the site has no build data. Run m2 status 0TZAG60ZYT. |
| Uses | Rank of a matrix, Row space, Transpose |
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