Bounded Linear Maps between Complex Inner Product Spaces: the Least Bound, Operations, the Underlying Real Structure, Adjoints, Completeness and the Quadratic-Form Bound
lemmaAnalysislem:bounded-maps-complex-inner-product-2026aBasic facts on bounded linear maps between complex inner product spaces: the operator norm is the least bound, the algebraic operations, the real inner product given by the real part of a Hermitian form, existence and calculus of adjoints on Hilbert spaces, completeness of the space of bounded maps, and the operator norm of a self-adjoint map bounded by its quadratic form.
Let be the ordered field of real numbers and the set of natural numbers; sequences are indexed by as in Sequence in a Set, and a real sequence converges to in the sense of Limit of a Sequence of Real Numbers. Let be the field of complex numbers, with imaginary unit , conjugation , modulus and real and imaginary parts , . Let , and be complex inner product spaces, with inner products , , and induced norms , , , which are norms by claim 2 of The Induced Norm is a Norm, and Induces a Metric. Bounded linear maps, bounds, and are those of Bounded Linear Maps between Complex Normed Spaces and the Operator Norm, and adjoints are those of Adjoint of a Linear Map between Complex Inner Product Spaces. For linear maps and and for , the linear maps , and send to , and ; is the identity map of . A complex Hilbert space is as in Complex Hilbert Space; convergence in a complex inner product space refers to the metric of that definition and to convergence in a metric space.
1. (Least bound)¶ Let . Then is a bound for , and for every bound for . A linear map belongs to if and only if it is a bounded linear operator on , and then is its operator norm.
2. (Operations)¶ Let , and . Then , and ; with these sums and scalar multiples is a complex vector space whose zero vector is the zero map ; composition distributes over sums and commutes with scalar multiples; and
3. (Underlying real structure)¶ Let be a complex vector space and let satisfy, for all and ,
with a real number and . Then , with its addition and with the multiplication by the real scalars, is a vector space over ; the map is symmetric, bilinear over and positive semidefinite in the sense of Cauchy Sequences for a Positive Semidefinite Symmetric Bilinear Form: Cauchy-Schwarz, the Space of Cauchy Sequences, Convergence of Pairings, and Null Sequences; and for all
For and the map is an inner product on this real vector space, written , whose norm is ; if is a complex Hilbert space, then with is a real Hilbert space.
4. (Uniqueness of adjoints)¶ A linear map has at most one adjoint; when it has one, it is written .
5. (Existence of adjoints)¶ If is a complex Hilbert space and , then has an adjoint, , and .
6. (Calculus of adjoints)¶ Let and be linear maps that have adjoints, and let . Then is the adjoint of ; the maps , and have the adjoints , and ; and is its own adjoint. A linear map is self-adjoint if and only if is an adjoint of . Moreover for every , and is self-adjoint and positive semi-definite.
7. (Completeness)¶ Let be a complex Hilbert space and let be a sequence in such that for every real there is with for all , where . Then there is such that the real sequence converges to ; for every such and every , the sequence converges to in .
8. (Quadratic-form bound)¶ Let be a self-adjoint linear map and let be real with for every . Then and .
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