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Sequential characterization of compact operators
Statement
Assume the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain). Let and be normed spaces over the same scalar field (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, Real and complex scalar conventions for normed spaces) and let be a bounded linear operator (A bounded linear operator between normed spaces). Then is compact (Compact linear operator) if and only if every bounded sequence in , that is every function with bounded range (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space), has a subsequence , the index map being strictly increasing (Countably compact, sequentially compact and limit point compact metric spaces, A strictly increasing index map satisfies ), for which converges in the norm metric of (Convergence of a sequence in a metric space: iff in ).
Facts & Assumptions
is compact exactly when is a compact subset of , where (Compact linear operator).
Assume and . For a metric space , compactness, countable compactness, limit point compactness, sequential compactness and "complete and totally bounded" are equivalent; only "sequentially compact implies totally bounded" spends DC and only "complete and totally bounded implies compact" spends , so every other implication is a theorem of ZF (For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice).
In ZF, implies (Dependent choice implies countable choice); and is the statement that for every nonempty set , every relation on entire on and every there is with and for all (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
A subset of a metric space is bounded when or for some point and real (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, Open ball, closed ball and sphere in a metric space).
In a normed space, implies ; convergence is metric convergence for ; a set is closed exactly when ; for nonempty the closure is ; and the closure of is contained in every closed set containing (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, Convergence of a sequence in a metric space: iff in , The closure of a nonempty is , equals together with its limit points, and is the smallest closed superset).
Proof
Given: , normed spaces over one scalar field, a bounded linear , and the notation .
Suppose compact and let be a bounded sequence in . By [A4] the range is empty or contained in some ball ; because for every , there is a real with for all (if the range is empty take ), and then for every , because and is linear.
Conversely assume every bounded sequence in has a subsequence whose -images converge, and put . Let be a sequence in . For each the set is nonempty, because , the set is nonempty, and [A5] then gives a point of within of ; selecting for every is a countable selection from nonempty sets, which [A3] licenses.
By [A1] the set is compact, and multiplication by the scalar is continuous, so is a compact subset of (A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism); by [A2] its metric subspace is sequentially compact, so the sequence of [step 1.1] has a subsequence converging in .
The sequence of [step 1.2] is bounded, since its range lies in ; by hypothesis some subsequence has for some , and since every lies in while is closed, [A5] gives .
Therefore compactness of implies the stated sequential property for every bounded sequence.
Along that subsequence , and both terms tend to , so with .
Thus every sequence in has a subsequence converging in , that is, is sequentially compact; by [A2] is compact, and then is compact by [A1].
Depends on
- Compact linear operator
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- Dependent choice implies countable choice
- For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice
- Countably compact, sequentially compact and limit point compact metric spaces
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- Convergence of a sequence in a metric space: $x_k \to x$ iff $d(x_k, x) \to 0$ in $\mathbb{R}$
- Open ball, closed ball and sphere in a metric space
- The closure of a nonempty $A$ is $\{x : d(x,A) = 0\}$, equals $A$ together with its limit points, and is the smallest closed superset
- A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- Real and complex scalar conventions for normed spaces
- A bounded linear operator between normed spaces
- Sequences of reals: bounded, eventually, frequently, tails, subsequences
- A strictly increasing index map satisfies $n_k \ge k$
Used by
- Fredholm determinant of a trace-class operator Definition
- Diagonal operator on ell p is compact iff diagonal tends to zero Example
- A compact remainder estimate forces closed range Lemma
- Range of identity minus compact is closed Lemma
- Riesz Schauder ascent and descent stabilize Lemma
- Compact operator sends weakly convergent sequences to norm convergent sequences Theorem
Dependency tree · two levels
95 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
- Theo Bühler and Dietmar Salamon, Functional Analysis — §4.2 p.183, Lemma 4.19 (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis, version November 17, 2017 — §3.1 p.70, Theorem 3.2 (standard reference, not scraped)