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CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05
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A bijection on underlying hom-sets need not exhibit a cotensor

Statement refuted

A bijection between the underlying hom-sets in the defining formula of a cotensor is enough to prove that the object is a cotensor.

Facts & Assumptions

Given: The Cat-enriched setting, the discrete two-object category X, and the one-object category E whose endomorphism monoid is (N,+).

[L1]

A cotensor requires an isomorphism of enriched hom-objects, not merely a bijection of their underlying sets (Tensor and cotensor in a V-category).

[L2]

The underlying-category construction can forget morphisms inside a hom-object (The underlying category can lose genuinely enriched information).

Counterexample

technique · direct
1.1

Give E its strict monoidal structure induced by addition: it has one object, both composition and tensor of endomorphisms are addition in N, and commutativity gives the interchange law. Hence there is a one-object Cat-enriched category B with sole object C, hom-category B(C,C)=E, and enriched composition given by this tensor.

givenconstruct
2.1

The underlying category B0 has one object and one morphism, since the objects of E form a singleton. Thus, for its only test object B=C, there is a bijection B0(B,C)Cat0(X,B(B,C)): both sides are singletons, because a functor from the discrete two-object category X to the one-object category E is unique on objects and identities. This bijection is automatically natural in the one-object category B0.

L2step 1.1
3.1

If C were its own cotensor by X, [L1] would require an isomorphism of categories E=B(C,C)[X,E]E×E. But the endomorphism monoids of the unique objects are respectively N and N2, which are not isomorphic: the former has one indecomposable nonzero generator and the latter has two. Hence the natural underlying hom-set bijection of step 2.1 does not exhibit a cotensor.

L1step 2.1

Depends on

Used by

Dependency tree · two levels

7 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