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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07
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Kernel-range identities and the weak-star closure of the transpose range

Statement

Let K=R or C. If T:XY is bounded linear between normed spaces, then (ranT)=kerT,(kerT)=ranTσ(X,X). The second closure is weak-star closure, with no norm-closure substitution.

Facts & Assumptions

Given: The spaces, maps, scalar field, and hypotheses in the statement above. All duals consist of linear functionals over the ambient field; evaluation has no conjugation.

[F1]

From Elementary kernel and range annihilator identities, with its stated hypotheses: Let K=R or C. For a bounded linear T:XY between normed spaces, (ranT)=kerT,(ranT)=kerT,ranT=(kerT). The closure in the last identity is in Y.

[F2]

From The weak-star topology from finite evaluations, with its stated hypotheses: Let K=R or C. For a normed X with continuous dual X from def-dual-space-of-a-normed-space, the weak-star topology σ(X,X) is the initial topology of all evaluations ff(x) into K with its usual topology. At f0, a neighbourhood basis consists of U(f0;x1,,xn;ε)={fX:(ff0)(xj)<ε (1jn)}, where n is finite and ε>0. For n=0 the set is all of X. Finite intersections of inverse images of scalar open sets form the initial-topology basis; at the given point, finitely many disks can be refined using their smallest positive radius. Weak-star closure means closure in this topology, not merely sequential closure.

[F3]

From Double annihilators give norm and weak-star closures, with its stated hypotheses: Let K=R or C. For a normed X and a linear subspace NX, (N)=Nσ(X,X). Consequently N is weak-star closed if and only if N=(N), and weak-star dense in X if and only if N={0}. For a linear subspace MX, the primal formula is (M)=M.

Proof

1.1

The elementary identities give (ranT)=kerT and (ranT)=kerT. The range of the linear operator T is a linear subspace of X.

F1
2.1

Apply the bipolar closure theorem to N=ranT in the topology σ(X,X). It gives ranTσ(X,X)=(ranT)=(kerT). For T=0 this is {0}σ(X,X)=X=0, so zero ranges are included.

F2F3step 1.1

Depends on

Used by

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Sources