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CounterexampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07
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The transpose of an injective map need not have norm-dense range

Statement refuted

An injective bounded operator need not have norm-dense transpose range. Over R, take the inclusion T:ℓ1→c0. Its transpose is the inclusion T∗:ℓ1→ℓ∞, and ran⁡T∗‾∥⋅∥∞=c0⊊ℓ∞=(ker⁡T)⊥. The operator T is injective and has dense range.

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 The transpose of a bounded operator, with its stated hypotheses: Let K=R or C. Let T:X→Y be bounded and linear between normed spaces. Its transpose, or Banach adjoint, is T∗:Y∗⟶X∗,(T∗g)(x)=g(Tx). The duals are def-dual-space-of-a-normed-space. Composition is bounded by lem-composition-operator-norm-inequality, so this has the displayed codomain. It is linear in g over K. No complex conjugation is inserted; a Hilbert adjoint uses a separate inner-product identification.

[F2]

From The continuous dual of c0 is ell-one, with its stated hypotheses: Let K=R or C. With coordinates starting at zero, the map ℓ1(K)⟶c0(K)∗,a⟼fa,fa(x)=∑n=0∞anxn is a linear isometric bijection. The pairing is bilinear, including over C.

[F3]

From Counting measure specializes the representation theorem to ℓp and ℓq, with its stated hypotheses: Let 1≤p<∞ and let q be conjugate to p. Every bounded linear functional Λ:ℓp→R is of the form Λ(a)=∑n=0∞anbn for a unique sequence b∈ℓq. Moreover, ∥Λ∥=∥b∥ℓq.

[F4]

From Finite truncations approximate null and summable sequences, with its stated hypotheses: Let K=R or C. Use coordinates indexed by N={0,1,…}. Define ℓ1(K)={a:∑n=0∞∣an∣<∞}, with coordinatewise operations and norm ∥a∥1=∑n∣an∣. Let PN retain coordinates 0,…,N and set all others to zero. Then ∥x−PNx∥∞⟶0(x∈c0(K)),∥a−PNa∥1⟶0(a∈ℓ1(K)).

[F5]

From c_0 is a closed subspace of ell-infinity, with its stated hypotheses: c0 is a closed linear subspace of ℓ∞ in the sup norm.

[F6]

From Annihilator notation and the preannihilator, with its stated hypotheses: Let K=R or C. For a normed X and arbitrary subsets M⊆X, N⊆X∗, define M⊥={f∈X∗:f(m)=0 for all m∈M},⊥N={x∈X:f(x)=0 for all f∈N}. Here X∗ is def-dual-space-of-a-normed-space. The first notation agrees with def-continuous-annihilator-of-a-subspace on span⁡M, since linearity makes vanishing on M equivalent to vanishing on its span. The preannihilator lies in X, not in X∗∗. Empty sets impose no conditions: ∅⊥=X∗ and ⊥∅=X.

Counterexample

1.1F4

Absolute summability implies convergence to zero: infinitely many coordinates of magnitude at least ε>0 would make partial absolute sums unbounded. Also ∥x∥∞≤∥x∥1, so inclusion is bounded and injective. Finite-support sequences lie in its range and are dense in c0 by truncation.

1.2F1F2F3

Identify c0∗ with ℓ1 and (ℓ1)∗ with real ℓ∞. For a∈ℓ1 and x∈ℓ1, (T∗fa)(x)=fa(Tx)=∑nanxn, so the transpose corresponds to the same coefficient sequence a, now viewed in ℓ∞.

2.1F4F5step 1.1step 1.2

The transpose image is contained in c0, which is closed in ℓ∞, so its norm closure is contained in c0. Conversely it contains all finite-support sequences, whose sup-norm closure contains c0 by truncation. Hence that closure is exactly c0.

3.1F6step 1.1step 2.1∎

The constant-one sequence has distance exactly one from c0: for zn→0, ∣1−zn∣→1, so ∥1−z∥∞≥1, and z=0 attains one. It is therefore outside the closure. Since ker⁡T=0, its annihilator is all of (ℓ1)∗=ℓ∞, proving strict inclusion.

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