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Complexification, Realification and Real Structures
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- 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
Tensor products over a commutative ring, their universal property, uniqueness up to unique isomorphism, functoriality, and basis formulas supply the construction machinery; the complex numbers with conjugation and their algebraic laws, vector spaces, linear maps, kernels, images, rank-nullity, exact sequences, and the published minimal-polynomial and generalised-eigenspace infrastructure supply the rest.
The page introduces the two directions of scalar change between the real and complex worlds. Complexification sends a real vector space to the tensor product with its canonical embedding and its concrete model ; realification forgets the complex structure by restricting scalars to . The page proves the universal property and uniqueness of complexification, that the tensor and direct-sum models agree, functoriality, and the preservation of kernels, images, rank, nullity, and short exact sequences; it records the opposite dimension behaviour of the two constructions. Conjugations are then introduced as conjugate-linear involutions, and their fixed points are shown to be real forms whose complexification recovers the ambient complex space, giving a bijection between conjugations and real forms. The page closes with the operator consequences: a complex-linear operator descends to a chosen real form exactly when it commutes with the conjugation; characteristic and minimal polynomials survive complexification; nonreal generalised eigenspaces occur in conjugate pairs; and one nonreal eigenvector produces the standard invariant real two-plane and rotation-scaling block.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Realification of a complex vector space by restriction of scalars
Definition
Let be a vector space over the field (The complex numbers as , with the real embedding and imaginary unit ). Its realification, written , is the real vector space whose underlying set and addition are those of , and whose scalar multiplication is the restriction of the complex scalar multiplication to the canonical real embedding :
The axioms of a real vector space are the restriction of the corresponding complex axioms: complex scalar multiplication is already an -scalar multiplication, since is a subfield of through the constant-class map of The complex numbers as , with the real embedding and imaginary unit .
Remarks
Realification forgets the chosen complex structure: different complex structures on the same abelian group can have the same realification. The definition is the prototype of restriction of scalars along ; no basis and no choice of coordinates is involved.
Complexification as with its canonical real-linear embedding
Definition
Let be a real vector space (Vector space over a field) and regard as a real vector space through the constant-class map of The complex numbers as , with the real embedding and imaginary unit . The complexification of is the real tensor product
It becomes a complex vector space through the scalar action
and it carries the canonical real-linear embedding
The scalar action is well defined. For fixed the map from to is additive in each variable and -balanced, so by Universal property of the tensor product for balanced maps into abelian groups it induces a unique -linear map with . The identities , and hold on every elementary tensor and hence everywhere, so the action makes a complex vector space.
Remarks
The tensor product is over , and the construction is basis-independent. Every element of is a finite sum with and ; after writing each summand is .
The direct-sum model of a complexification
Definition
Let be a real vector space. The direct-sum model of the complexification of is the complex vector space whose underlying set is , with componentwise addition
and complex scalar multiplication
An element is written for the pair , so that ; the distinguished copy of is the real subspace of pairs . This is the concrete model compared with the tensor model of Complexification as with its canonical real-linear embedding.
Remarks
The axioms of a complex vector space are checked directly from the displayed formulas; for instance , matching . Writing is a notation for the pair, not a claim that is already a subspace of anything.
Complexification of a real-linear map
Definition
Let be a real-linear map between real vector spaces (Linear map between vector spaces over the same field). Its complexification is the -linear map
Existence. The map from to is additive in each variable and -balanced because is real-linear, so Universal property of the tensor product for balanced maps into abelian groups supplies the unique -linear map with the displayed value on elementary tensors.
Remarks
The map is complex-linear on the complexifications of Complexification as with its canonical real-linear embedding: for and ,
so the identities extend from elementary tensors to all of by additivity.
Conjugations and real structures on a complex vector space
Definition
Let be a complex vector space. A conjugation (also called a real structure) on is a map such that for all and :
- ;
- , where is complex conjugation;
- .
Thus a conjugation is additive, conjugate-linear (anti-linear) in the scalar action, and an involution. When is a real vector space, the canonical conjugation on the complexification of Complexification as with its canonical real-linear embedding is
its well-definedness on the tensor product follows from Universal property of the tensor product for balanced maps into abelian groups, applied to the -bilinear map .
Remarks
On a nonzero complex vector space, a conjugation is not complex-linear: if it were, then for every one would have both and , forcing because is an involution. On the zero space the unique conjugation is also complex-linear. Every conjugation is -linear, because for every .
The fixed real form of a conjugation
Definition
Let be a conjugation on the complex vector space (Conjugations and real structures on a complex vector space). Its fixed real form is the real subspace
where is the realification of . That is a real subspace is immediate: it contains , is closed under addition because is additive, and is closed under real scalars because for .
Remarks
The same complex vector space can carry different conjugations with different fixed real forms; a fixed real form is extra structure attached to the choice of , not canonical data of alone.
The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic
Statement
Let be a real vector space. The map
is a complex-linear isomorphism between the tensor model of Complexification as with its canonical real-linear embedding and the direct-sum model of The direct-sum model of a complexification. Its inverse is
Facts & Assumptions
Given: A real vector space , with regarded as a real vector space through .
The complexification carries the complex scalar action and the real-linear embedding (Complexification as with its canonical real-linear embedding).
The direct-sum model is with , written (The direct-sum model of a complexification).
Every -balanced map into a real vector space extends uniquely to an -linear map sending to (Universal property of the tensor product for balanced maps into abelian groups).
Proof
The map , , is -bilinear: it is additive in each variable because the addition in is componentwise, and for one has by [L2].
By [L3] there is a unique -linear map with .
The map satisfies on elementary tensors: writing , one has by the scalar action of [L1].
Conversely : by [L2].
The map is complex-linear: for , by [L1] and [L2], and the identity extends from elementary tensors by additivity.
Steps 3.1 and 3.2 make bijective with inverse , and step 3.3 makes it complex-linear, so is the claimed canonical complex-linear isomorphism.
Complexification is initial for real-linear maps into complex vector spaces, and is unique up to unique isomorphism
Statement
Let be a real vector space and let be the canonical real-linear embedding of Complexification as with its canonical real-linear embedding. For every complex vector space and every real-linear map there is a unique complex-linear map with , namely .
Moreover, if is a complex vector space and is a real-linear map with the same property, then there is a unique complex-linear isomorphism with .
Facts & Assumptions
Given: A real vector space with canonical embedding , and a real-linear map into a complex vector space .
The complexification carries the scalar action and (Complexification as with its canonical real-linear embedding).
Every -balanced map extends uniquely to an -linear map out of (Universal property of the tensor product for balanced maps into abelian groups).
Two pairs representing the same class of balanced maps are related by a unique isomorphism commuting with the structure maps, obtained by applying each universal property to the other pair (Tensor products are unique up to a unique isomorphism carrying elementary tensors to elementary tensors).
Proof
The map given by is -bilinear and -balanced: additivity follows from the linearity of in and the distributivity of complex scalar multiplication, and for .
Uniqueness of any extension: if is complex-linear with , then on every elementary tensor by [L1], so its values are already determined, and elementary tensors generate .
By [L2] there is a unique -linear map with .
The map is complex-linear: by the scalar action of [L1], , and additivity extends the identity to all of .
The map satisfies because by [L1].
Uniqueness: steps 1.2 and 2.1 show that any complex-linear extension with agrees with on every elementary tensor, hence everywhere, so .
For the uniqueness up to unique isomorphism, apply the universal property of to to get a unique complex-linear with , and the universal property of to to get with . Both and carry to itself, and both and carry to itself, so step 3.3 forces both composites to be identities; this is the two-application argument recorded in [L3].
Steps 3.1 and 3.2 prove the universal property, step 3.3 its uniqueness clause, and step 4.1 the uniqueness of the representing pair up to unique isomorphism.
Complexification is a functor on real vector spaces and real-linear maps
Statement
For real vector spaces and real-linear maps and , the complexification of Complexification of a real-linear map satisfies
Thus , is a functor from real vector spaces to complex vector spaces.
Facts & Assumptions
Given: Real-linear maps and .
The complexification of a real-linear map is , with (Complexification of a real-linear map).
For homomorphisms of right and left modules, and (Module homomorphisms induce tensor-product homomorphisms functorially).
Proof
By [L2] applied with and , one has by [L1].
By [L2] applied with , and , one has by [L1].
Steps 1.1 and 1.2 are exactly the identity and composition laws of a functor.
Complexification preserves kernels, images, finite rank, nullity, and short exact sequences
Statement
Let be a real-linear map. Under the canonical isomorphism of The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic, the complexification acts componentwise: . Consequently
the complexifications of the real subspaces. If and are finite-dimensional, then and . If is a short exact sequence of real vector spaces, then
is a short exact sequence of complex vector spaces.
Facts & Assumptions
Given: A real-linear map , and in the exactness clause real-linear maps and with .
The complexification of a real-linear map is (Complexification of a real-linear map).
The canonical isomorphism satisfies , with inverse (The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic).
Kernel and image of a linear map are linear subspaces, and a linear map is injective exactly when its kernel is zero (The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial).
For a linear map from a finite-dimensional space, (Rank-nullity: ).
A short exact sequence is exact at every displayed module, so at the middle term (Exact sequences and short exact sequences of modules).
Complexification of maps respects composition: (Complexification is a functor on real vector spaces and real-linear maps).
Proof
In the direct-sum model, : applying to the formula of [L1], by [L2].
If is a real subspace with real basis , then every element of is with : the real and imaginary components are real combinations of the .
The list is complex-linearly independent in : means in , and the real independence of the forces every .
By [L6] and the hypothesis , one has , hence .
: the equality of the two descriptions is step 1.1, and by [L3] the kernel of the componentwise map is the complexification of .
, again directly from step 1.1.
For a finite-dimensional real subspace , steps 1.2 and 1.3 exhibit as a complex basis of , so .
Combining steps 2.1, 2.2 and 2.3 gives and the matching rank identity, with rank and nullity as in [L4].
At the middle term, by [L5] and steps 2.1 and 2.2 applied to and .
The map is injective because by [L3], and is surjective because .
By [L5], exactness of the complexified sequence is: at , at , and at ; these are step 3.3, step 3.2 and step 3.3 respectively, with the containment of step 1.4 absorbed into the equality.
Steps 2.1 and 2.2 prove the kernel and image formulas, step 3.1 the rank and nullity preservation, and step 4.1 the short-exact-sequence clause.
A real basis becomes a complex basis after complexification, so
Statement
Let be a real vector space with ordered basis . Then is an ordered complex basis of the complexification of Complexification as with its canonical real-linear embedding. In particular, if is finite-dimensional then
Facts & Assumptions
Given: A real vector space with ordered basis .
If and are free with bases and , then is free with basis (The elementary tensors of two bases form the product basis of the tensor product).
The power basis is an -basis of , and ( has power basis and degree ).
The canonical isomorphism sends to , with inverse (The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic).
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
By [L2], is an -basis of , and by hypothesis is an -basis of ; hence [L1] makes an -basis of .
Transporting through the inverse isomorphism of [L3], which sends to and to , the set is an -basis of .
The vectors span over : every element is by the real basis expansion of step 1.2.
The vectors are complex-linearly independent: if , then , so the real independence in step 1.2 forces every .
Steps 2.1 and 2.2 make an ordered complex basis of the direct-sum model, and applying of [L3] carries it to the ordered complex basis of .
Both bases have exactly elements, so by [L5] the complex dimension of equals the real dimension of .
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 .
The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space
Statement
Let be a conjugation on a complex vector space . The fixed real form of The fixed real form of a conjugation is a real subspace of , and the map
is a complex-linear isomorphism whose restriction to the canonical embedding of is the inclusion . Thus the complexification of canonically recovers .
Facts & Assumptions
Given: A complex vector space with a conjugation .
A conjugation is additive, conjugate-linear, and an involution: , , (Conjugations and real structures on a complex vector space).
The fixed real form is (The fixed real form of a conjugation).
A real-linear map extends to a unique complex-linear map from the complexification of (Complexification is initial for real-linear maps into complex vector spaces, and is unique up to unique isomorphism).
Complex conjugation satisfies , and (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
The complexification of a real space carries the scalar action (Complexification as with its canonical real-linear embedding).
Proof
The set is a real subspace: it contains , is closed under addition because is additive by [L1], and is closed under real scalars because for .
Every element of has the form with : a general finite sum is by the scalar action of [L5], and the two coefficient sums lie in the real subspace .
By [L3], the real-linear inclusion extends uniquely to a complex-linear map with .
Surjectivity: for set and . By [L1] and [L4], , and because ; hence by [L2] and .
Injectivity: for one has by step 2.1. If , applying and using [L1] gives ; subtracting the two identities gives , hence and then , so the tensor is zero.
Steps 2.1, 3.1 and 3.2 make a complex-linear isomorphism, and its restriction to is the inclusion because .
Real forms of a complex vector space correspond exactly to conjugations
Statement
Let be a complex vector space. Call a real subspace a real form of when the map , , is a complex-linear isomorphism. Then the assignments
where is the conjugation on transported from the canonical conjugation of along , are inverse bijections between the conjugations of and the real forms of . The canonical conjugation of Conjugations and real structures on a complex vector space is .
Facts & Assumptions
Given: A complex vector space .
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).
A conjugation is additive, conjugate-linear, and an involution; on the complexification of a real space the canonical conjugation is (Conjugations and real structures on a complex vector space).
The fixed real form of a conjugation is the real subspace of its fixed points (The fixed real form of a conjugation).
Every element of the complexification is uniquely with (The tensor and direct-sum models of complexification are canonically complex-linearly isomorphic).
Proof
For a conjugation , the subspace is a real form of : by [L1] the complexification of recovers through the multiplication map, which is exactly the defining condition.
The fixed points of on are the embedded copy of : by [L4] an element is uniquely , and by [L2], which equals itself exactly when , hence .
For a real form with isomorphism , define . It is additive and conjugate-linear because is complex-linear and has these properties by [L2], and it is an involution because .
If came from a conjugation , then : for with , step 1.3 gives , while by [L2].
If came from a real form , then : the fixed points of in are the -images of the fixed points of , which step 1.2 identifies with the embedded copy of , and by the real-form condition.
Steps 1.1, 2.1 and 2.2 show that the two assignments compose to the identity in both orders, so they are inverse bijections.
A complex-linear operator comes from a real operator exactly when it commutes with the chosen conjugation
Statement
Let be a complex vector space, let be a conjugation on , let be its fixed real form, and let be the canonical isomorphism of The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space. A complex-linear operator commutes with if and only if for a real-linear operator ; in that case is unique and is the restriction .
Facts & Assumptions
Given: A complex vector space , a conjugation with fixed real form , and a complex-linear operator .
The complexification of a real-linear map is (Complexification of a real-linear map).
A conjugation is conjugate-linear and an involution; the canonical conjugation on is , and (Conjugations and real structures on a complex vector space, Real forms of a complex vector space correspond exactly to conjugations).
The fixed real form is (The fixed real form of a conjugation).
The map is a complex-linear isomorphism, and (The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space).
Proof
If for a real-linear , then commutes with : for , one has , while by [L1] and [L2].
Conversely, if , then is invariant under : for , , so by [L3]; the restriction is therefore a well-defined real-linear operator.
With this , one has : for , , using [L1], the complex-linearity of , and the identity of [L4].
Uniqueness: if , then because is an isomorphism, and evaluating on gives , whence by the injectivity of the embedding in [L4].
Steps 1.1, 2.1 and 3.1 together prove both directions of the claimed equivalence, the concrete description of as the restriction, and its uniqueness.
Complexification preserves the characteristic and minimal polynomials of a finite-dimensional real operator
Statement
Let be an endomorphism of a finite-dimensional real vector space and let be its complexification. Then
where the minimal polynomial of is regarded as an element of .
Facts & Assumptions
Given: An endomorphism of a finite-dimensional real vector space .
A real ordered basis becomes an ordered complex basis after complexification (A real basis becomes a complex basis after complexification, so ).
The complexification of a map is (Complexification of a real-linear map).
The characteristic polynomial of an operator is the characteristic polynomial of its matrix in any ordered basis, independent of the choice (The basis-independent characteristic polynomial of an endomorphism of a finite-dimensional space, including in dimension zero).
An operator and its matrix in an ordered basis have the same minimal polynomial (The minimal polynomial is unchanged by choosing a matrix representation or replacing a matrix by a similar one).
For a field extension , a matrix has the same minimal polynomial over and over (For a matrix over a field, extending the scalar field does not change its minimal polynomial).
Proof
Choose an ordered real basis of ; by [L1], is an ordered complex basis of , and by [L2] the matrix of in it equals the matrix , because .
By [L3], is the characteristic polynomial of over and is the characteristic polynomial of the same matrix over ; the two polynomials have the same coefficients, so .
By [L4], is the minimal polynomial of over and is the minimal polynomial of over .
By [L5] with and , the minimal polynomial of is the same element of in both readings, so step 2.2 gives .
Steps 2.1 and 3.1 prove both claimed equalities.
For a real operator, nonreal generalised eigenspaces of the complexification occur in conjugate pairs
Statement
Let be an endomorphism of a real vector space, let be the canonical conjugation of , and let and . Then
Thus for nonreal the generalised eigenspaces of for and for are interchanged by the real-linear involution , and they have the same real dimension.
Facts & Assumptions
Given: A real vector space , an endomorphism , a complex scalar , and an exponent .
A conjugation is conjugate-linear and an involution (Conjugations and real structures on a complex vector space).
The complexification of a real operator commutes with the canonical conjugation, because it comes from a real operator (A complex-linear operator comes from a real operator exactly when it commutes with the chosen conjugation).
The generalised eigenspace of exponent is (Primary components and generalised eigenspaces ).
Proof
The operator commutes with by [L2], and is an -linear involution, hence a bijection, with by [L1].
The powers commute with up to conjugation of the scalar: for , by step 1.1 and [L1]; iterating this times gives .
If , then , so by [L3].
Conversely, if , then satisfies , so ; since is an involution, the two inclusions combine to the equality .
Because is real-linear and bijective by step 1.1, the two generalised eigenspaces have the same real dimension; for nonreal they form the conjugate pair interchanged by .
A nonreal eigenvector yields an invariant real two-plane and the standard rotation-scaling block
Statement
Let be an endomorphism of a real vector space, identify with the fixed real form of the canonical conjugation on , and suppose with is an eigenvector of with eigenvalue , where . Then and are -linearly independent, is -invariant, and with respect to the ordered basis the matrix of restricted to that plane is
Moreover is an eigenvector of with eigenvalue .
Facts & Assumptions
Given: A real vector space , an endomorphism , and an eigenvector of with eigenvalue , where and .
Every element of is uniquely with in the fixed real form (The fixed points of a conjugation form a real vector space whose complexification recovers the ambient complex space).
The canonical conjugation interchanges the generalised eigenspaces of and (For a real operator, nonreal generalised eigenspaces of the complexification occur in conjugate pairs).
Proof
By [L1], the decomposition with is unique. Both and are nonzero: if then lies in and forces ; symmetrically would give the same contradiction for the coefficient of .
Expanding gives ; comparing the - and -components, which are unique by [L1], yields and .
The conjugate vector is an eigenvector for : lies in by [L2] applied with .
The vectors are -linearly independent: if and were dependent, then, since both are nonzero, for a real , so and dividing the eigen-equation by gives . But lies in , while has nonzero -component , contradicting uniqueness of the components in [L1].
The plane is invariant and the block appears: and by step 2.1, so in the ordered basis the two columns are and .
Steps 3.1 and 3.2 prove the independence, invariance and matrix claims, and step 2.2 the conjugate eigenvector claim.
5 · Examples, counterexamples and false statements
None yet.