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Hilbert Basis


A Hilbert basis of a Hilbert space V is an orthonormal set (e_i)_(i in I) whose vector space span is dense in V. Equivalently, it is an orthonormal basis in the Hilbert-space sense. Every element v in V has the norm-convergent expansion

 v=sum_(i in I)a_ie_i,

where a_i=<v,e_i> for the inner product linear in its first argument, and sum_(i in I)|a_i|^2=||v||^2<infty (Axler 2026, pp. 242-244).

For an arbitrary index set I, convergence means that for every epsilon>0 some finite subset F_0 subset= I satisfies ||v-sum_(i in F)a_ie_i||<epsilon for every finite subset F with F_0 subset= F subset= I (Axler 2026, p. 239). For each v, at most countably many coefficients a_i are nonzero. If V is a separable space, a Hilbert basis can be indexed by a finite set or countable set. A nonseparable Hilbert space requires an uncountable set of indices.

For example, in the Hilbert space l^2 of square summable sequences, a Hilbert basis is the standard basis e_i, whose nth entry is delta_(in), the Kronecker delta. Then

 (a_n)=sum_(i=1)^inftya_ie_i,

with sum_(i=1)^(infty)|a_i|^2<infty. The e_i do not form an algebraic vector basis of l^2, since some elements, such as (1/n)_(n=1)^infty, are not finite linear combinations of them (Axler 2026, p. 241).


See also

Fourier Series, Hilbert Space, L2-Space, Orthonormal Set, Vector Basis

Portions of this entry contributed by Todd Rowland

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References

Axler, S. Measure, Integration & Real Analysis. Author-hosted revision, June 12, 2026. https://measure.axler.net/MIRA.pdf.

Referenced on Wolfram|Alpha

Hilbert Basis

Cite this as:

Weisstein, Eric W., with contributions by Todd Rowland. "Hilbert Basis." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/HilbertBasis.html

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