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Complexifying a real polynomial space gives the same degree bound with complex coefficients
Example
Let be the real vector space of real polynomials of degree at most and the complex vector space of complex polynomials of degree at most , for a fixed . Then
and the canonical embedding becomes the inclusion . Complexification does not raise the degree bound; it only replaces real coefficients by complex ones.
Facts & Assumptions
Given: The real vector space and the complex vector space .
The complexification carries the scalar action and the real-linear embedding (Complexification as with its canonical real-linear embedding).
The map , , is a complex-linear isomorphism with inverse (The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic).
A real-linear map into a complex vector space extends to a unique complex-linear map with (Complexification is initial for real-linear maps into complex vector spaces, and is unique up to unique isomorphism).
Verification
The monomials form a real basis of and a complex basis of .
The real-linear inclusion extends by [L3] to a unique complex-linear map with ; by the scalar action of [L1] this is the map on the tensor model.
By [L2], every element of is with , and sends it to ; the monomial images are the complex basis of step 1.1, so is a complex-linear isomorphism.
Degree bound: has degree at most because and do, so no degree bound is lost; the embedding maps to itself, the inclusion of the real polynomials.
Steps 1.2 through 3.1 identify the complexification with and the canonical embedding with the inclusion.
Depends on
- Complexification as $\mathbb C\otimes_{\mathbb R}V$ with its canonical real-linear embedding
- The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic
- Complexification is initial for real-linear maps into complex vector spaces, and is unique up to unique isomorphism
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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)