TheoremBase

The Weighted Coefficient Subspace Determined by an Orthonormal Basis and a Sequence of Weights

The vectors whose basis coefficients are square-summable against weights at least one form a dense linear subspace which is itself a separable real Hilbert space, with a norm dominating the norm of the ambient space. These are exactly the requirements a Hilbert triple makes of its smaller space.

Statement

In the settings of Real Hilbert Spaces: Standing Notation and Background and Real Hilbert Spaces: Series, Products, Orthonormal Bases and Differential Calculus, let HH be a real Hilbert space, written in the ambient notation ⟨⋅,⋅⟩H\langle\cdot,\cdot\rangle_{H}, ∣⋅∣H|\cdot|_{H}, dHd_{H} and with zero vector 0H0_{H}, let (ek)k∈N(e_{k})_{k\in\mathbb{N}} be an orthonormal basis of HH, and let (λk)k∈N(\lambda_{k})_{k\in\mathbb{N}} be a sequence of real numbers with 1≤λk1\le\lambda_{k} for every k∈Nk\in\mathbb{N}. For x∈Hx\in H write xk=⟨x,ek⟩Hx_{k}=\langle x,e_{k}\rangle_{H}.

Let VV be the set of those x∈Hx\in H for which the series ∑k=1∞λkxk2\sum_{k=1}^{\infty}\lambda_{k}x_{k}^{2} converges. By claim 1 below, for x,y∈Vx,y\in V the series ∑k=1∞λkxkyk\sum_{k=1}^{\infty}\lambda_{k}x_{k}y_{k} converges; its sum is written ⟨x,y⟩V\langle x,y\rangle_{V}, and ∣⋅∣V|\cdot|_{V} and dVd_{V} denote the associated norm and distance. Then the following hold.

1. (A subspace carrying an inner product) The set VV is a linear subspace of HH and contains eje_{j} for every j∈Nj\in\mathbb{N}. For all x,y∈Vx,y\in V the series ∑k=1∞λk∣xkyk∣\sum_{k=1}^{\infty}\lambda_{k}|x_{k}y_{k}| and ∑k=1∞λkxkyk\sum_{k=1}^{\infty}\lambda_{k}x_{k}y_{k} converge, and ⟨⋅,⋅⟩V\langle\cdot,\cdot\rangle_{V} makes VV a real inner product space whose norm satisfies

∣x∣H≤∣x∣Vfor every x∈V.|x|_{H}\le|x|_{V}\qquad\text{for every }x\in V .

2. (Coefficients against the basis) For every x∈Vx\in V and every j∈Nj\in\mathbb{N},

⟨x,ej⟩V=λjxj,and in particular∣ej∣V2=λj.\langle x,e_{j}\rangle_{V}=\lambda_{j}x_{j}, \qquad\text{and in particular}\qquad |e_{j}|_{V}^{2}=\lambda_{j}.

3. (Completeness) The space VV with ⟨⋅,⋅⟩V\langle\cdot,\cdot\rangle_{V} is a real Hilbert space.

4. (Density) The set VV is dense in HH.

5. (A rescaled basis, and separability) For k∈Nk\in\mathbb{N} let μk\mu_{k} be the nonnegative real number with μk2=1λk\mu_{k}^{2}=\tfrac{1}{\lambda_{k}} given by Existence and Uniqueness of the Nonnegative Square Root. Then μk\mu_{k} is positive, the sequence (μkek)k∈N(\mu_{k}e_{k})_{k\in\mathbb{N}} is an orthonormal basis of VV, and the metric space (V,dV)(V,d_{V}) is separable.

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