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Complexification, Realification and Real Structures: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Complexification, Realification and Real Structures
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Simple Field Extensions and the Construction of the Complex Numbers
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The ZFC Axioms and the Basic Set Constructions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These examples run the complexification and realification machinery on concrete spaces: the standard embedding as the canonical complexification map, bounded real polynomial spaces, the doubled real basis of , the quarter-turn diagonalised only after complexification, the invariant real plane reconstructed from one nonreal eigenvector, and two distinct conjugations on with different fixed real forms.
The counterexample and false statements isolate exactly where the A-page theorems have hypotheses: a complex-linear map need not preserve a chosen real form, complexification does not double finite dimension (realification does), no preferred real form is attached to a complex vector space, descent to a real form requires commutation with the chosen conjugation, and complexification can create complex eigenvectors without creating real ones.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The standard embedding is the canonical complexification map
Example
Take with its standard real basis . The identification
carries the canonical embedding of Complexification as with its canonical real-linear embedding to the standard inclusion that views a real coordinate vector as a complex one. For both sides are the zero space.
Facts & Assumptions
Given: The standard real basis of and the canonical embedding .
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 ordered basis becomes a complex ordered basis after complexification (A real basis becomes a complex basis after complexification, so ).
Verification
The list is a real basis of by definition of the standard basis.
By [L2], through , and the assignment , taken coordinatewise, is a complex-linear isomorphism : complex scalar multiplication is sent to .
Composing, the element maps to and then to the th standard complex vector scaled by ; additivity extends this to every tensor.
For one has , which step 2.1 sends to ; this is exactly the standard inclusion of into , and by [L3] the images form the complex basis of the complexification.
Steps 1.2 and 3.1 identify the complexification with and the canonical embedding with the standard inclusion.
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.
Realifying gives with basis
Example
The realification of the complex coordinate space has real dimension . Writing the standard complex basis vectors as , an explicit real basis is
so by sending to and to of .
Facts & Assumptions
Given: The complex vector space with standard basis .
The realification is the real vector space with the same underlying set and addition as , and scalar multiplication restricted to (Realification of a complex vector space by restriction of scalars).
If is finite-dimensional over with , then (Realification doubles finite dimension).
Verification
The standard basis has elements, so .
The displayed list spans : every writes with real , and by [L1] scalar multiplication by the real parts is real scalar multiplication, giving .
By [L2], .
The list is real-linearly independent: means in , so complex independence of forces every .
Steps 1.2 and 2.2 exhibit the displayed list as a real basis with entries, matching the dimension of step 2.1; the coordinate map identifies it with .
The real quarter-turn diagonalises after complexification but has no real eigenvector
Example
Let be the quarter-turn with matrix
in the standard basis. Its complexification acts on by the same matrix, has eigenvalues and with eigenvectors and , and is therefore diagonalised over by that eigenbasis. Nevertheless itself has no real eigenvector.
Facts & Assumptions
Given: The quarter-turn with the displayed matrix .
Complexification preserves the characteristic and minimal polynomials of a finite-dimensional real operator (Complexification preserves the characteristic and minimal polynomials of a finite-dimensional real operator).
The canonical conjugation interchanges the generalised eigenspaces of and (For a real operator, nonreal generalised eigenspaces of the complexification occur in conjugate pairs).
Verification
The characteristic polynomial is , and by [L1] the complexified operator has the same polynomial, which factors as over .
For , the equation is and , so and is an eigenvector; symmetrically is an eigenvector for .
The vectors and are complex-linearly independent, so they form a complex basis of in which has the diagonal matrix .
Conjugation satisfies , the conjugate-pair behaviour recorded in [L2] with exponent .
A real eigenvector would carry a real eigenvalue with ; taking a nonzero coordinate of shows is real, and then step 1.1 gives , which has no real solution.
Steps 2.1 and 2.3 together prove the example: diagonalisation after complexification with no real eigenvector beforehand.
One nonreal eigenvector reconstructs the invariant real plane of a rotation-scaling block
Example
Let have matrix
The eigenvalue has the eigenvector with and . The corollary reconstructs from alone the -invariant real plane and the rotation-scaling block: in the ordered basis the matrix of is the displayed itself, which has the standard form with .
Facts & Assumptions
Given: The operator with the displayed matrix and the vector .
A nonreal eigenvector with eigenvalue , , yields independent , an invariant real plane, and the matrix in the ordered basis (A nonreal eigenvector yields an invariant real two-plane and the standard rotation-scaling block).
Verification
The characteristic polynomial is , whose roots are , both nonreal.
For , the equation is and , so ; the choice gives with and .
Applying [L1] with : and are -linearly independent, is -invariant, and in the ordered basis the matrix of is .
The conjugate vector is an eigenvector with eigenvalue , as recorded in [L1].
Steps 2.1 and 2.2 reconstruct the invariant plane and the block from the single nonreal eigenvector.
Different conjugations on can have different fixed real forms
Example
On define the coordinatewise conjugation
and the transposed conjugation
Their fixed real forms are and , a different real two-plane of . One complex vector space therefore carries two different real forms, attached to two different choices of conjugation.
Facts & Assumptions
Given: The complex vector space and the two displayed maps .
The fixed points of a conjugation form a real subspace whose complexification recovers the ambient complex space (The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space).
Real forms of a complex vector space correspond exactly to conjugations (Real forms of a complex vector space correspond exactly to conjugations).
Verification
The map is a conjugation: it is additive, , and applying it twice is the identity.
The map is also a conjugation: additivity is clear, , and .
The fixed set of is , the real coordinate plane inside .
The fixed set of is , a real two-plane.
The two fixed sets are different real subspaces: is fixed by but . By [L1] each is a real form whose complexification recovers , and by [L2] the distinct conjugations give distinct real forms.
Steps 1.1 through 3.1 exhibit two different conjugations and two different fixed real forms on one complex vector space.
A complex-linear map need not preserve a chosen real form
Statement refuted
Every complex-linear operator on a complex vector space preserves every chosen real form; equivalently, a complex-linear operator always descends to the fixed real form of a given conjugation.
Facts & Assumptions
Given: The conjugation on , its fixed real form , and the displayed operator .
The fixed real form of a conjugation is the real subspace of its fixed points (The fixed real form of a conjugation).
A complex-linear operator comes from a real operator on the fixed real form exactly when it commutes with the chosen conjugation (A complex-linear operator comes from a real operator exactly when it commutes with the chosen conjugation).
Counterexample
Take with the coordinatewise conjugation , whose fixed real form is . The complex-linear operator
does not commute with : at one has while . Consequently does not come from a real operator on , and does not even carry into itself, since .
Proof technique: direct.
The map is a conjugation, and by [L1] its fixed real form is .
The map is complex-linear: .
The two maps do not commute: , while .
By [L2], does not come from any real operator on ; concretely , so does not even preserve the chosen real form as a set.
Steps 1.2, 1.3 and 2.1 refute the claimed universality: a complex-linear map can fail to preserve a chosen real form.
FALSE: complexification doubles finite dimension
Statement
Complexification doubles finite dimension: for every finite-dimensional real vector space ,
Facts & Assumptions
Given: A finite-dimensional real vector space and its complexification .
The complexification of is canonically through the standard inclusion (The standard embedding is the canonical complexification map).
A real basis becomes a complex basis after complexification, so (A real basis becomes a complex basis after complexification, so ).
Refutation
By [L2], for every finite-dimensional real : the embedded image of a real basis is already a complex basis of the complexification.
The concrete witness confirms the correct value: by [L1] with , , so , not .
The doubling behaviour belongs to realification, the reverse construction, which replaces complex scalars by real ones; complexification keeps the numerical dimension unchanged.
Steps 1.1 and 1.2 contradict the claimed factor of , so the displayed statement is false.
FALSE: every complex vector space has a preferred real form
Statement
Every nonzero complex vector space carries a real form singled out by the complex structure alone, in the precise sense that the real form is invariant under every complex-linear automorphism.
Facts & Assumptions
Given: A nonzero complex vector space and a real form .
A real form is the fixed space of a conjugation, and its complexification recovers ; in particular every has a unique expression with (Real forms of a complex vector space correspond exactly to conjugations, The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space).
Refutation
Multiplication by is a complex-linear automorphism of . If it preserved , then for every .
Choose . Under the preservation assumption of step 1.1, , so would be two decompositions of the same vector with real and imaginary parts in , contradicting uniqueness in [L1].
Thus no real form of a nonzero complex vector space is invariant under all complex-linear automorphisms. The complex structure alone therefore singles out no preferred real form, and the claim is false.
FALSE: every complex-linear operator descends to every chosen real form
Statement
Every complex-linear operator on a complex vector space descends to every chosen real form.
Facts & Assumptions
Given: The complex vector space , the coordinatewise conjugation , the real form , and the operator .
The complex-linear operator fails to commute with and does not carry into itself (A complex-linear map need not preserve a chosen real form).
A complex-linear operator comes from a real operator on the fixed real form exactly when it commutes with the chosen conjugation (A complex-linear operator comes from a real operator exactly when it commutes with the chosen conjugation).
Refutation
By [L1], the operator is complex-linear but satisfies , with the concrete witness .
By [L2], the failure of commutation means is not of the form for any real operator on ; hence does not descend to this chosen real form.
Steps 1.1 and 2.1 exhibit one complex-linear operator and one chosen real form for which descent fails, refuting the claimed universal statement.
FALSE: complexification creates a real eigenvector whenever it creates a complex one
Statement
If the complexification of a real operator acquires a complex eigenvector, then the original real operator acquires a real eigenvector.
Facts & Assumptions
Given: The quarter-turn with matrix and its complexification .
The complexification has the nonreal eigenvalues with eigenvectors and , while itself has no real eigenvector (The real quarter-turn diagonalises after complexification but has no real eigenvector).
Refutation
By [L1], complexification creates a complex eigenvector: is an eigenvector of with eigenvalue .
By [L1], has no real eigenvector: any real eigenvector would carry a real eigenvalue with , which is impossible in .
Steps 1.1 and 1.2 provide a case where a complex eigenvector is created with no accompanying real eigenvector, contradicting the claimed implication.