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DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedaudited 2026-09-22
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Hilbert–Schmidt operator and Hilbert–Schmidt norm

Definition

Throughout, H and K are real or complex Hilbert spaces with the pairing linear in the first argument and conjugate-linear in the second (Hilbert space), T∈B(H,K) is a bounded linear operator (A bounded linear operator between normed spaces, The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators) of operator norm ∥T∥ (The operator norm as the least bound and as the unit-sphere or unit-ball supremum), and E is a Hilbert basis of H, that is, a complete orthonormal subset of H (Orthonormal families, complete orthonormal systems and Hilbert bases). The basis E is supplied as data; the definitions below are stated relative to it.

The Hilbert–Schmidt square-sum. The family (∥Te∥2)e∈E consists of nonnegative real numbers and is indexed by the arbitrary set E. Its sum is the supremum of the finite subsums,

sE(T):=∑e∈E∥Te∥2:=sup⁡{∑e∈F∥Te∥2  :  F⊆E finite}∈[0,+∞],

in the finite-subset-supremum convention of Square-summable families on an arbitrary index set and the space ℓ2(I); the empty finite subset contributes the empty sum 0, so the supremum is over a nonempty set and exists in [0,+∞]. No enumeration, ordering or countability of E is used or asserted, and no choice is performed: the supremum ranges over the set of finite subsets of the fixed index set E. For finite E the supremum is the ordinary finite sum over E, because all terms are nonnegative.

Hilbert–Schmidt relative to a basis. The operator T is Hilbert–Schmidt relative to E when sE(T)<+∞, that is, when the finite subsums are bounded above in R. In that case the Hilbert–Schmidt norm of T relative to E is the nonnegative square root

∥T∥HS,E:=(∑e∈E∥Te∥2)1/2∈[0,+∞).

When sE(T)=+∞, no Hilbert–Schmidt norm relative to E is defined, and T is not Hilbert–Schmidt relative to E.

Degenerate and extreme cases. The zero operator satisfies sE(0)=0 for every basis E, so it is Hilbert–Schmidt relative to every basis with norm 0. If H={0} then the empty family is a Hilbert basis of H, the only finite subset is empty, and s∅(T)=0 for the only linear operator T:{0}→K; that operator is Hilbert–Schmidt relative to the empty basis with norm 0. If H is finite dimensional and E is finite, sE(T) is an ordinary finite sum of the squared norms ∥Te∥2, and T is automatically Hilbert–Schmidt relative to E.

The basis is part of the notation. The symbol ∥T∥HS,E keeps the basis in the subscript on purpose. Until the next result is proved, the phrase "T is Hilbert–Schmidt" is never used without a specified Hilbert basis, and nothing here asserts that a Hilbert basis of H exists: the existence of E is a hypothesis of the definition, and the question of whether the finiteness of sE(T) and the value ∥T∥HS,E depend on E is taken up in The Hilbert–Schmidt norm is basis independent. In particular this definition makes no basis-existence claim and no comparison with the operator norm ∥T∥; every such statement is proved later, where its own hypotheses are displayed.

Notation. For a finite F⊆E we write sF(T):=∑e∈F∥Te∥2 for the finite subsum, so that sE(T)=sup⁡{sF(T):F⊆E finite}.

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