Math 2.0

Linear and multilinear algebra; matrix theory Definition

Row space

Builds on Linear spanMatrix

Definition

Let FF be a field and let AA be an m×nm \times n matrix over FF with rows r1,…,rm∈Fnr_1, \dots, r_m \in F^n. The row space of AA is Row⁡(A)=span⁡(r1,…,rm)⊆Fn,\operatorname{Row}(A) = \operatorname{span}(r_1, \dots, r_m) \subseteq F^n, the linear span of the rows.

Remarks

The row space of AA is the column space of ATA^T. Elementary row operations do not change the row space, so row equivalent matrices have the same row space. The nonzero rows of a row echelon form of AA form a basis of Row⁡(A)\operatorname{Row}(A). Its dimension equals the dimension of the column space, see row rank equals column rank.

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  1. Matrix definition
  2. Vector space definition
  3. Linear combination definition
  4. Linear subspace definition
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Further reading

  1. Web https://en.wikipedia.org/wiki/Row_and_column_spaces, Row space
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