Math 2.0

Functional analysis Definition

Hilbert dimension

Builds on Hilbert spaceOrthonormal familyCardinality

Definition

Let HH be a real or complex Hilbert space. An orthonormal basis of HH is an orthonormal family (ei)i∈I(e_i)_{i \in I} in HH that is maximal: no nonzero vector of HH is orthogonal to all eie_i. All orthonormal bases of HH have the same cardinality. The Hilbert dimension of HH is this cardinality ∣I∣\abs{I}.

Remarks

Example: in ℓ2\ell^2, the unit vectors ene_n, n≥1n \ge 1, form an orthonormal basis. They are orthonormal, and if ⟨x,en⟩=xn=0\ip{x}{e_n} = x_n = 0 for all nn then x=0x = 0. So the Hilbert dimension of ℓ2\ell^2 is ℵ0\aleph_0, the cardinality of ℕ\N.

Non-example: the family (en)n≥2(e_n)_{n \ge 2} in ℓ2\ell^2 is orthonormal but not maximal, since e1e_1 is orthogonal to all of it. So it is not an orthonormal basis, though its cardinality is also ℵ0\aleph_0.

For every orthonormal basis, each x∈Hx \in H is the sum x=∑i∈I⟨x,ei⟩eix = \sum_{i \in I} \ip{x}{e_i} e_i, with only countably many nonzero terms. For finite-dimensional HH, the Hilbert dimension is the usual dimension. For H=L2([0,2π])H = L^2([0, 2\pi]), the functions einx/2πe^{inx} / \sqrt{2\pi}, n∈ℤn \in \Z, form an orthonormal basis, so L2([0,2π])L^2([0, 2\pi]) and ℓ2\ell^2 are isometrically isomorphic.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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  1. Cardinality concept
  2. Hilbert space concept
  3. Orthonormal family concept
  4. Hilbert dimension definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Hilbert_space
About this page
TagJB02WZSDDW
URIm2://JB02WZSDDW
Kinddefinition
WritingW0 stub
MSC46C05
DefinesHilbert dimension
UsesHilbert space, Orthonormal family, Cardinality
Changed2 November 2026

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