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A Hilbert space with a given orthonormal basis is of the index set
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be an orthonormal basis of a real or complex Hilbert space , that is, a complete orthonormal family (Orthonormal families, complete orthonormal systems and Hilbert bases), and define the Fourier coefficient map
with values in the space of Square-summable families on an arbitrary index set and the space . Then is a linear bijection satisfying
In particular is complete, hence a Hilbert space, with the inner product of Square-summable families on an arbitrary index set and the space .
Facts & Assumptions
If an orthonormal family is complete, then Parseval's identity holds: for every (Parseval equivalences for an orthonormal family).
Bessel's inequality shows that lies in , and is linear because the inner product is linear in its first argument (The Bessel inequality for an arbitrary orthonormal family, Real and complex inner-product spaces and their induced length).
If , then the finite-subset net converges to a limit with for every (Square-summable orthogonal families have norm-convergent finite sums).
For finite and , , where ; and if in then (The finite Bessel inequality and best approximation by a finite orthonormal family, Cauchy–Schwarz: , with equality exactly for dependent pairs).
is an inner-product space with norm and pairing , and is complete for its norm (Square-summable families on an arbitrary index set and the space , Hilbert space).
Under completeness the finite-subset net of Fourier partial sums converges to (Fourier expansion in a Hilbert space).
Proof
Given: Countable Choice, an orthonormal basis of , and the coefficient map .
The map takes values in and is linear, and Parseval's identity holds for every because the family is complete; hence for every , and forces , so by definiteness of the norm. Thus is linear, norm preserving and injective.
The finite-subset net converges for every , and its limit has for every ; hence and is surjective.
For all the inner products are preserved: for every finite orthonormality gives , both sides converge along the finite-subset net, the left to by continuity of the pairing and convergence of the partial sums to and , the right to the pairing of and by the definition of the sum of a scalar family; limits being unique, .
Consequently is complete: if is a Cauchy sequence in , then the vectors form a Cauchy sequence in by norm preservation, hence converge to some ; then , so the sequence converges to .
Steps 1.1 to 1.3 show that is a linear bijection preserving norms and inner products, and step 2.1 shows that is complete; hence and are isometrically isomorphic Hilbert spaces and is itself a Hilbert space.
Depends on
- Real and complex inner-product spaces and their induced length
- Fourier expansion in a Hilbert space
- Square-summable orthogonal families have norm-convergent finite sums
- Square-summable families on an arbitrary index set and the space $\ell^2(I)$
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Parseval equivalences for an orthonormal family
- The Bessel inequality for an arbitrary orthonormal family
- Orthonormal families, complete orthonormal systems and Hilbert bases
- Hilbert space
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- The finite Bessel inequality and best approximation by a finite orthonormal family
- Pythagoras and finite orthogonal sums
Used by
- Existence of self-adjoint extensions is equality of deficiency indices Corollary
- Functional calculus for a diagonal operator Example
- Polar decomposition of the unilateral shift Example
- Pvm of a diagonal normal operator Example
- Riesz–Fischer: the Fourier coefficient map is onto the space of square-summable families Theorem
- The Fourier basis and Parseval's identity on the finite torus Theorem
- The Parseval identity for Fourier series Theorem
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Sources
- Gerald Teschl, Topics in Real and Functional Analysis, version November 17, 2017 — §2.1, p.52, discussion following Theorem 2.7 (standard reference, not scraped)
- Theo Bühler and Dietmar Salamon, Functional Analysis — Exercise 2.64, p.87 (standard reference, not scraped)