Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof that an injective endomorphism of a finite-dimensional space is surjective

Builds on Rank–nullity theoremA linear map is injective iff its kernel is trivialA subspace of full dimension is the whole spaceKernel of a linear mapImage of a linear mapDimensionBasis

Proof

We use the rank–nullity theorem to compare the kernel and the image.

  1. Let n=dim⁡Vn = \dim V. By the rank–nullity theorem, dim⁡im⁡T+dim⁡ker⁡T=n\dim \im T + \dim \ker T = n, where im⁡T\im T is the image and ker⁡T\ker T the kernel.
  2. A subspace of dimension 00 has the empty family as basis, so it equals {0}\{0\}. Conversely {0}\{0\} has dimension 00.
  3. (1 implies 2.) Suppose TT is injective. By the kernel criterion, ker⁡T={0}\ker T = \{0\}, so dim⁡ker⁡T=0\dim \ker T = 0.
  4. By step 1, dim⁡im⁡T=n=dim⁡V\dim \im T = n = \dim V. Since im⁡T\im T is a subspace of VV, a subspace of full dimension is the whole space gives im⁡T=V\im T = V. So TT is surjective.
  5. (2 implies 1.) Suppose TT is surjective. Then im⁡T=V\im T = V, so dim⁡im⁡T=n\dim \im T = n.
  6. By step 1, dim⁡ker⁡T=0\dim \ker T = 0, so ker⁡T={0}\ker T = \{0\} by step 2. By the kernel criterion, TT is injective.
  7. (3 is equivalent to 1 and 2.) A map is bijective exactly when it is injective and surjective.
  8. If TT is bijective, it is injective, so condition 1 holds. If condition 1 holds, then condition 2 holds by step 4, so TT is bijective.
  9. By steps 3 to 8, the three conditions are equivalent.

Idea

Rank–nullity says that the dimensions of the kernel and the image add up to dim⁡V\dim V. A trivial kernel forces the image to have full dimension, and a full image forces the kernel to be trivial. This trade-off needs finite dimension: the shift on sequences is injective but not surjective.

Reading path

To understand this page from the ground up, read these 70 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof that a subspace of full dimension is the whole space, Proof that a linear map is injective iff its kernel is trivial, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, Proof that n independent or n spanning vectors in an n-dimensional space form a basis, Proof that a subspace of a finite-dimensional space has smaller or equal dimension, Proof of the rank–nullity theorem by extending a basis of the kernel.

  1. Basis concept
  2. Dimension concept
  3. Element definition
  4. Image of a linear map concept
  5. Kernel of a linear map concept
  6. Linear independence concept
  7. Linear map concept
  8. Linear subspace concept
  9. Nullity concept
  10. Proof of Zorn's lemma proof
  11. Proposition concept
  12. Rank of a linear map concept
  13. Spanning set concept
  14. Vector space definition
  15. Set definition
  16. Proof that a linear map is injective iff its kernel is trivial proof
  17. Disjunction definition
  18. Implication definition
  19. Predicate definition
  20. Linear combination definition
  21. Linear map definition
  22. Linear subspace definition
  23. Family of sets definition
  24. Ordered pair definition
  25. Union definition
  26. Existential quantifier definition
  27. Universal quantifier definition
  28. Linear independence definition
  29. Image of a linear map definition
  30. Kernel of a linear map definition
  31. Linear span definition
  32. Cartesian product definition
  33. Union of a family of sets definition
  34. Subset definition
  35. Uniqueness quantifier definition
  36. A linear map is injective iff its kernel is trivial statement
  37. Spanning set definition
  38. Binary relation definition
  39. Basis definition
  40. Finite-dimensional vector space definition
  41. Proof of the Steinitz exchange lemma by induction proof
  42. Antisymmetric relation definition
  43. Reflexive relation definition
  44. Transitive relation definition
  45. Dimension theorem for vector spaces statement
  46. Dimension definition
  47. Function definition
  48. Steinitz exchange lemma statement
  49. Preorder definition
  50. Choice function definition
  51. Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
  52. Rank of a linear map definition
  53. Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
  54. Nullity definition
  55. Partial order definition
  56. Axiom of choice statement
  57. Linearly independent set of the right size is a basis statement
  58. Dimension of a subspace statement
  59. Maximal element definition
  60. Total order definition
  61. Upper bound definition
  62. Proof that a subspace of full dimension is the whole space proof
  63. Chain definition
  64. A subspace of full dimension is the whole space statement
  65. Zorn's lemma statement
  66. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  67. Every linearly independent set extends to a basis statement
  68. Proof of the rank–nullity theorem by extending a basis of the kernel proof
  69. Rank–nullity theorem statement
  70. Proof that an injective endomorphism of a finite-dimensional space is surjective proof

Where this leads

99 pages build on this one.

Further reading

  1. Web https://dec41.user.srcf.net/notes/IB_M/linear_algebra_thm_proof.pdf, Section 2.3
About this page
TagFZJWSX2C8J
URIm2://FZJWSX2C8J
Kindproof
WritingW0 stub
MSC15A04
ProvesAn injective endomorphism of a finite-dimensional space is surjective
UsesRank–nullity theorem, A linear map is injective iff its kernel is trivial, A subspace of full dimension is the whole space, Kernel of a linear map, Image of a linear map, Dimension, Basis
Changed4 November 2026

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