Math 2.0

Linear and multilinear algebra; matrix theory Linear maps Theorem

Rank–nullity theorem

Builds on Rank of a linear mapNullity

Statement

Let FF be a field, let VV be a finite-dimensional vector space over FF, and let WW be a vector space over FF. Let T ⁣:V→WT \colon V \to W be a linear map. Then dim⁡im⁡T+dim⁡ker⁡T=dim⁡V,\dim \im T + \dim \ker T = \dim V, that is, rank⁡T+nullity⁡T=dim⁡V\rank T + \operatorname{nullity} T = \dim V, with the rank and the nullity of TT.

Remarks

For an m×nm \times n matrix AA, this says rank⁡A+dim⁡{x:Ax=0}=n\rank A + \dim \{x : Ax = 0\} = n. A proof extends a basis of ker⁡T\ker T to a basis of VV; the images of the new vectors form a basis of im⁡T\im T. The theorem also follows from the first isomorphism theorem V/ker⁡T≅im⁡TV / \ker T \cong \im T.

Reading path

To understand this page from the ground up, read these 15 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Vector space definition
  2. Linear combination definition
  3. Linear map definition
  4. Linear subspace definition
  5. Linear independence definition
  6. Image of a linear map definition
  7. Kernel of a linear map definition
  8. Linear span definition
  9. Spanning set definition
  10. Basis definition
  11. Finite-dimensional vector space definition
  12. Dimension definition
  13. Rank of a linear map definition
  14. Nullity definition
  15. Rank–nullity theorem statement

Where this leads

1 page builds on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Rank–nullity_theorem, Stating the theorem
About this page
Tag0W4FSW1TVB
URIm2://0W4FSW1TVB
Aliasesdimension-theorem-for-linear-maps
Kindstatement, theorem
WritingW1 stated
MSC15A03, 15A04
StatusThis copy of the site has no build data. Run m2 status 0W4FSW1TVB.
UsesRank of a linear map, Nullity
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