Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof of the dimension of the dual space by the dual basis

Builds on Dual spaceDual basisA linear map is determined by its values on a basisBasisLinear independenceSpanning setDimensionFinite-dimensional vector spaceLinear form

Proof

We show that the dual basis is a basis of V∗V^*.

  1. Let n=dim⁡Vn = \dim V and let (b1,…,bn)(b_1, \dots, b_n) be a basis of VV. Write δij=1\delta_{ij} = 1 if i=ji = j and δij=0\delta_{ij} = 0 if i≠ji \ne j.
  2. For each ii, the extension of values on a basis gives a linear form bi∗ ⁣:V→Fb_i^* \colon V \to F with bi∗(bj)=δijb_i^*(b_j) = \delta_{ij} for all jj. These form the dual basis (b1∗,…,bn∗)(b_1^*, \dots, b_n^*) in the dual space V∗V^*.
  3. The family (b1∗,…,bn∗)(b_1^*, \dots, b_n^*) is linearly independent. Suppose ∑i=1nλibi∗=0\sum_{i=1}^n \lambda_i b_i^* = 0 with λi∈F\lambda_i \in F.
  4. The operations of V∗V^* are pointwise. Evaluating at bjb_j gives 0=∑i=1nλibi∗(bj)=∑i=1nλiδij=λj0 = \sum_{i=1}^n \lambda_i b_i^*(b_j) = \sum_{i=1}^n \lambda_i \delta_{ij} = \lambda_j. This holds for each jj.
  5. The family (b1∗,…,bn∗)(b_1^*, \dots, b_n^*) spans V∗V^*. Let g∈V∗g \in V^*, and let h=∑i=1ng(bi) bi∗h = \sum_{i=1}^n g(b_i)\, b_i^*.
  6. For each jj, h(bj)=∑i=1ng(bi)δij=g(bj)h(b_j) = \sum_{i=1}^n g(b_i) \delta_{ij} = g(b_j). So gg and hh are linear maps V→FV \to F that agree on a basis.
  7. By the uniqueness part of the same result, g=hg = h. So gg lies in the span of the bi∗b_i^*.
  8. By steps 3 to 7, (b1∗,…,bn∗)(b_1^*, \dots, b_n^*) is a basis of V∗V^* with nn elements.
  9. So V∗V^* is finite-dimensional, and its dimension is n=dim⁡Vn = \dim V.

Idea

The dual basis vector bi∗b_i^* reads off the ii-th coordinate. A linear form is fixed by its values on the basis, so it is the combination of the coordinate functions with those values as coefficients. This gives exactly nn basis vectors for V∗V^*.

Reading path

To understand this page from the ground up, read these 21 pages in order. The foundations come first. The path takes the proof Proof that a linear map is determined by its values on a basis.

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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. Basis concept
  2. Dimension concept
  3. Dual basis concept
  4. Dual space concept
  5. Finite-dimensional vector space concept
  6. Linear combination concept
  7. Linear form concept
  8. Linear independence concept
  9. Linear map concept
  10. Spanning set concept
  11. Vector space definition
  12. Proof that a linear map is determined by its values on a basis proof
  13. Linear combination definition
  14. Linear map definition
  15. Linear subspace definition
  16. Linear independence definition
  17. Linear span definition
  18. Spanning set definition
  19. Basis definition
  20. A linear map is determined by its values on a basis statement
  21. Proof of the dimension of the dual space by the dual basis proof

Where this leads

4 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Dual_space, Finite-dimensional case
About this page
TagN3391DFGPS
URIm2://N3391DFGPS
Kindproof
WritingW0 stub
MSC15A03, 15A04
ProvesDimension of the dual space
UsesDual space, Dual basis, A linear map is determined by its values on a basis, Basis, Linear independence, Spanning set, Dimension, Finite-dimensional vector space, Linear form
Changed4 November 2026

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