Math 2.0

Linear and multilinear algebra; matrix theory Definition

Nullity

Builds on Kernel of a linear mapDimension

Definition

Let FF be a field, let VV and WW be vector spaces over FF, and let T ⁣:V→WT \colon V \to W be a linear map. The nullity of TT is nullity⁡T=dim⁡ker⁡T,\operatorname{nullity} T = \dim \ker T, the dimension of the kernel of TT. The nullity of a matrix AA is the nullity of the map x↦Axx \mapsto Ax, the dimension of the null space of AA.

Remarks

The nullity is 00 if and only if TT is injective. For an m×nm \times n matrix, the nullity is the number of free variables of Ax=0Ax = 0. By the rank–nullity theorem, rank⁡T+nullity⁡T=dim⁡V\rank T + \operatorname{nullity} T = \dim V when VV is finite-dimensional.

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  1. Vector space definition
  2. Linear combination definition
  3. Linear map definition
  4. Linear subspace definition
  5. Linear independence definition
  6. Kernel of a linear map definition
  7. Linear span definition
  8. Spanning set definition
  9. Basis definition
  10. Finite-dimensional vector space definition
  11. Dimension definition
  12. Nullity definition

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2 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Kernel_(linear_algebra), Properties
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