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Complex Norms and Realification
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
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- 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
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Simple Field Extensions and the Construction of the Complex Numbers
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page builds on complexification-realification-and-real-structures and rn-as-a-normed-space. It defines complex norms with absolute homogeneity for every complex scalar, identifies complex modulus on the real embedding, and proves that realification preserves the norm and its induced metric. It also verifies the finite coordinate sum norm, defines restricted complex norms on subspaces, and fixes the real-valued comparison convention for equivalent complex norms.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Complex norm and complex normed space
Definition
Let be a vector space over (Vector space over a field, with the complex field of The complex numbers as , with the real embedding and imaginary unit ). A complex norm on is a function such that, for all and every :
- if and only if ;
- , where is the complex modulus of Real and imaginary parts, complex conjugation, and modulus;
- .
A complex normed space is a pair with a complex vector space and a complex norm on . Since the codomain is , every norm value is a finite real number; extended-real values are not allowed. The homogeneity clause is for every complex scalar, not merely real scalars.
Complex modulus restricts to real absolute value
Statement
For every real , write for its canonical image in . Then
Facts & Assumptions
Given: A real number and the complex modulus and real absolute value in the cited definitions. Write for its constant-class image in .
The canonical real embedding sends to its constant class in (The complex numbers as , with the real embedding and imaginary unit ).
The imaginary unit is the class of the polynomial in (The complex numbers as , with the real embedding and imaginary unit ).
Every complex number has unique real coordinates (Real and imaginary parts, complex conjugation, and modulus).
The complex modulus is (Real and imaginary parts, complex conjugation, and modulus).
Real absolute value is nonnegative and equals when and when (Absolute value in an ordered field, Basic properties of the absolute value).
If , then (Squares of nonzero elements are positive); if , then by in a field (Multiplication by zero: ).
Every nonnegative real has a unique nonnegative square root (Square roots exist: a unique with ; the positives are ).
Proof
The canonical image of is the class of the constant polynomial by [F1]. Since is the class of by [F2], this is also the class of , namely . Uniqueness of complex coordinates in [F3] identifies that image with .
If then , and if then [F6] gives . Thus in either case, so [F7] guarantees that its nonnegative square root exists.
By [F5], . If , then ; if , then . In either case , including .
By [F4] and step 1.1, the modulus of the canonical image of is , whose radicand is nonnegative by step 1.2.
Step 2.1 and step 1.3 identify the complex modulus of the canonical image of and as nonnegative square roots of the same . By uniqueness in [F7], they are equal.
Realification preserves a complex norm and its metric
Statement
Let be a complex normed space and define for . On the realification , the same function is a real norm. The underlying set, addition, norm values, and induced metric are unchanged.
Facts & Assumptions
Given: A complex normed space and its realification . For each , write for its canonical complex image.
separates zero, is homogeneous for every complex scalar by the complex modulus, and satisfies the triangle inequality (Complex norm and complex normed space).
Realification has the same underlying set and addition, and its real scalar action is the complex scalar action restricted along the canonical real embedding (Realification of a complex vector space by restriction of scalars).
For every real , the complex modulus of its canonical image is (Complex modulus restricts to real absolute value).
A real norm separates zero, is absolutely homogeneous for real scalars, and satisfies the triangle inequality (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
The induced real norm metric is the function , which is a metric (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Proof
Since realification preserves the set, zero vector, and addition, the separation and triangle conditions in [F1] hold unchanged on . The codomain remains .
For and , [F2] gives . Hence [F1] and [F3] give . Together with step 1.1, this is exactly the real norm criterion [F4].
The set and addition are unchanged by [F2], so additive inverses and differences are unchanged as well. The realified norm's induced metric is therefore by [F5], the same function defined in the statement, with the same values on the same pairs.
The complex coordinate sum norm, including the zero space
Statement
For every , on the complex function space with pointwise operations, define
Then is a complex norm, including at , when is the singleton zero space.
Facts & Assumptions
Given: and , with finite sums over the coordinates .
is the function space of functions from to (The vector space of all functions with pointwise operations, and as the case ).
Addition and scalar multiplication on are pointwise, and its zero vector is the constant zero function (The vector space of all functions with pointwise operations, and as the case ).
has exactly one element, its zero vector (The vector space of all functions with pointwise operations, and as the case ).
Complex modulus is nonnegative and definite, multiplicative, and subadditive (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Finite sums over a finite coordinate list use the recursively defined sum after zero extension (Finite sums and finite products, by recursion).
The empty finite sum is zero (Finite sums and finite products, by recursion).
Finite sums preserve addition and real scaling (Laws of finite sums and finite products).
Finite sums preserve pointwise inequalities, and a sum of nonnegative terms is zero only when every term is zero (Laws of finite sums and finite products).
A complex norm separates zero, is homogeneous for every complex scalar by the complex modulus, and satisfies the triangle inequality (Complex norm and complex normed space).
Proof
If , [F3], [F5] and [F6] say that the only vector is zero and its empty sum is . If and , pointwise equality in [F2] makes each coordinate zero; [F4] makes each summand zero, and the finite sum in [F5] is then zero. Conversely, if , the nonnegative summands from [F4] satisfy the zero-sum condition in [F8], so every and hence every by [F4]. Pointwise equality [F1] identifies with the zero function [F2]. Thus iff for every , as required in [F9].
For every , the finite-list sum in [F5], pointwise scalar multiplication from [F2], and multiplicativity from [F4] give , where the last equality is finite-sum scaling by the real scalar from [F7]. This is the complex absolute homogeneity clause in [F9].
Pointwise addition from [F2], the finite-list sum from [F5], and complex modulus subadditivity from [F4] give for every . Finite-sum monotonicity and additivity [F7, F8] therefore give . Together with steps 1.1 and 1.2, this is the triangle clause in [F9], so all three complex norm criteria hold.
A complex normed linear subspace
Definition
Let be a complex normed space (Complex norm and complex normed space) and let be a complex-linear subspace (Linear subspace of a vector space over ). Define the restricted norm by . The pair is the complex normed subspace determined by .
Facts & Assumptions
Given: A complex normed space and a complex-linear subspace .
separates zero, satisfies for every , and satisfies the triangle inequality (Complex norm and complex normed space).
A linear subspace contains zero, is closed under addition, and is closed under multiplication by every scalar in its field; here that field is (Linear subspace of a vector space).
Proof
For , iff iff by [F1], so the restriction separates zero.
If and , then by [F2] and by [F1]. If , then and , again by [F1]. Thus the restricted function has the full complex homogeneity and triangle properties as well.
Equivalent complex norms
Definition
Let and be complex norms (Complex norm and complex normed space) on the same complex vector space . They are equivalent complex norms if there are positive real constants such that
Both inequalities and the positivity of are in the real complete ordered field (Complete ordered field (least-upper-bound property), with completeness established in The Cauchy-sequence reals have the least-upper-bound property); the vector scalar field remains . No order comparison of complex numbers is intended.
5 · Examples, counterexamples and false statements
None yet.