Dimension theorem
Statement
Any two finite bases of the same vector space have the same number of elements: if has vectors and has vectors, then . Hence is a well-defined invariant of , not an artifact of which basis was chosen.
Why is it true?
A basis is simultaneously a spanning set and an independent set, so applying the exchange lemma once in each direction — once treating as the spanning set and as independent, once the other way around — squeezes the two sizes between each other until they must be equal.
Proof sketch
Let and both be bases of . Since spans (it is a basis) and is linearly independent (it is a basis), the exchange lemma proved above applies directly with playing the role of the spanning set and the independent set, giving .
Symmetrically, since spans and is linearly independent, apply the exchange lemma again with the roles swapped — as the spanning set, as the independent set — giving .
Combining the two inequalities and forces : the two bases have exactly the same number of vectors.
Since this argument places no restriction on which particular finite bases were chosen, every finite basis of has this same common size. This justifies defining to be that common size — it is an invariant of the space itself, never depending on which basis was used to compute it.
Topics that use this theorem
Step-by-step proofs
No step-by-step proof yet for this theorem.
References
- Sheldon Axler (2015). Linear Algebra Done Right
- Eric W. Weisstein (MathWorld) (2024). Vector Space