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Realification doubles finite dimension
Statement
If is a finite-dimensional complex vector space with , then its realification of Realification of a complex vector space by restriction of scalars is finite-dimensional over with
Facts & Assumptions
Given: A finite-dimensional complex vector space with .
The realification is the real vector space with the same underlying set and addition, and scalar multiplication restricted to (Realification of a complex vector space by restriction of scalars).
In with , every complex number is written uniquely as with and (The complex numbers as , with the real embedding and imaginary unit ).
A basis is a linearly independent spanning set (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
The dimension of a finite-dimensional vector space is the size of any of its bases (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis).
Proof
Choose an ordered complex basis of , which exists because is finite-dimensional over by [L4].
The list spans : writing and by [L2], one has by the scalar-multiplication restriction of [L1].
The list is linearly independent over : if with real coefficients, then in , so the complex independence of forces every and hence every ; in particular the displayed entries are pairwise distinct.
By [L3], steps 2.1 and 2.2 make the displayed list a real basis of with entries, so [L4] gives .
Depends on
- Realification of a complex vector space by restriction of scalars
- The complex numbers as $\mathbb R[x]/(x^2+1)$, with the real embedding and imaginary unit $i$
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
Used by
Dependency tree · two levels
24 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Keith Conrad, Complexification (notes) (standard reference, not scraped)
- Mikhail Troshkin, Real-complex linear algebra and abelian varieties (standard reference, not scraped)