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The dual family of a finite basis is a basis of the dual space, with the same dimension
Statement
If is a basis of a finite-dimensional -vector space , then its dual family is a basis of . Consequently .
Facts & Assumptions
Given: A finite basis of and its dual family.
The dual functionals satisfy (The dual family associated to a Hamel basis , defined by ).
The dimension of a finite-dimensional space is the cardinality of any finite basis (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
Proof
If , evaluation at and [L1] give for every ; hence the dual family is linearly independent.
For , set . If as in [L2], then , so and the dual family spans .
Steps 1.1 and 1.2 make a basis, and [L3] gives . For , both sums are empty and the unique functional on the zero space is zero, so the same proof applies.
Depends on
- The dual family $(b^*)_{b\in B}$ associated to a Hamel basis $B$, defined by $b^*(c)=\delta_{bc}$
- A finite list $v : n \to V$ is an ordered basis if and only if every $x \in V$ equals $\sum_{i<n} \lambda_i v_i$ for exactly one $\lambda : n \to F$; those scalars are the coordinates of $x$ in that ordered basis
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
Used by
- The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space Definition
- A dual basis and transpose computed for a linear map on F₃² Example
- Assuming choice, ^∘(U^∘)=U; in finite dimension, dim U^∘=dim V-dim U Theorem
- Assuming choice, J_V:V→ V^** is surjective if and only if V is finite-dimensional Theorem
- In dual bases, the matrix of T^* is the transpose of the matrix of T Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 69 results over 20 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- H. Pinkham, Linear Algebra, Chapter 6 (standard reference, not scraped)