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Nuclear series characterizes trace norm
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let and be Hilbert spaces over the same real or complex scalar field and let be compact (Compact linear operator). Then is trace class (Trace class operator) if and only if there are families in and in , indexed by the positive integers, with such that the zero-based sequence of finite-rank operators defined by and converges to in operator norm (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Convergence of a sequence in a metric space: iff in ). Here the displayed scalar series is, under the library convention, the series of the sequence . In that case the infimum being over all such nuclear representations of , with the same zero-based shift understood in every displayed sum, and the infimum is attained: using its positive-integer index set and padding finite rank by zeros, the singular-value series is a nuclear representation with sum .
Facts & Assumptions
Given: Countable Choice, real or complex Hilbert spaces over the same field, and compact . Nuclear data are assumed only in the reverse implication.
The SVD has in infinite rank and in rank , including when . It supplies orthonormal , , and operator-norm convergence of to (Singular value decomposition for compact operators, Absolute value and singular values of a compact operator).
Trace class and its norm are defined by the sum of the zero-padded positive-indexed singular values, equivalently by the zero-indexed sequence (Trace class operator).
The operator norm bounds , and norm convergence means these norms of differences tend to zero (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, A bounded linear operator between normed spaces, Convergence of a sequence in a metric space: iff in ).
The pairing is linear in the first argument and conjugate-linear in the second. Cauchy–Schwarz gives , and finite Bessel sums are bounded by the squared norm (Real and complex inner-product spaces and their induced length, Cauchy–Schwarz: , with equality exactly for dependent pairs, The finite Bessel inequality and best approximation by a finite orthonormal family).
An infimum is a greatest lower bound; a member of a set that is also a lower bound is consequently its infimum (Greatest lower bound (infimum)).
A nondecreasing real sequence bounded above converges to the supremum of its range (A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum).
Proof
Suppose is trace class. For every set and . Because is real, conjugate-linearity gives . In finite rank put for ; in rank zero use zero families throughout. In infinite rank already consists of all positive integers, so no index shift and no vector is used. Orthonormality gives for . The shifted zero-based sum is , and the zero-based partial-sum sequence with converges in operator norm by [A1].
Conversely assume given positive-integer-indexed families with in the shifted sense just specified, and let the zero-based sequence converge to in operator norm. Each term is linear and bounded by using [A5], so is bounded and its range lies in the finite span of (the zero subspace when ). The given compactness of licenses [A1]; no new compactness theorem is needed.
Fix a finite . Since , put . For every , finite rearrangement (with the sum empty at ) gives Finite Cauchy–Schwarz, applied to the vectors of absolute values in , and Bessel give Thus . Also by [A3] and [A5], so the zero-based sequence converges to and . For empty this says ; otherwise a hypothetical contradicts the displayed error bound for sufficiently large .
Take for each . The zero-padded singular-value partial sums are nondecreasing, start at zero, and are bounded above by by step 2.1. Therefore [A7] makes their series converge to a value at most . By [A2], is trace class and .
Steps 1.1 and 3.1 prove the equivalence. For trace-class , the set of nuclear-representation sums is nonempty by step 1.1, every such sum is at least by step 3.1, and step 1.1 attains this bound. It is therefore the infimum by [A6]. All sequences used in the reverse implication were given; the forward implication spends only the Countable Choice already assumed by the SVD.
Depends on
- Trace class operator
- Absolute value and singular values of a compact operator
- Singular value decomposition for compact operators
- 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
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- A bounded linear operator between normed spaces
- Convergence of a sequence in a metric space: $x_k \to x$ iff $d(x_k, x) \to 0$ in $\mathbb{R}$
- Greatest lower bound (infimum)
- Hilbert space
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Real and complex inner-product spaces and their induced length
- Compact linear operator
- A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum
Used by
- Fredholm determinant of a trace-class operator Definition
- Trace of a trace class operator Definition
- Adjoint, norm and trace of an operator of rank at most one Example
- Integral operator trace under a valid diagonal hypothesis Example
- Cyclicity of the trace Theorem
- Trace class is a two sided Banach operator ideal Theorem
- Trace is absolutely convergent and basis independent Theorem
- Trace of a positive operator is the sum of its eigenvalues Theorem
Dependency tree · two levels
78 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald Teschl, Topics in Real and Functional Analysis, version November 17, 2017 — §3.6, Lemma 3.29 (printed pp. 98–100) (standard reference, not scraped)
- Anthony W. Knapp, Advanced Real Analysis — Chapter II, §5, Proposition 2.9 (standard reference, not scraped)