Amnestic Functor¶
A functor for which any source isomorphism mapped to a target identity is necessarily already an identity morphism.
Core Idea¶
Amnesticity is an identity-reflection condition restricted to isomorphisms. It asks whether a functor can forget so much structure that a genuine change between isomorphic source objects becomes literally invisible as an identity below.
The definition is weaker than full faithfulness and has a sharp counterexample form: one nonidentity source isomorphism with identity image is enough to show failure.
How would you explain it like I'm…
No Real Move Looks Like Nothing
Isomorphism Identity Reflection
Scope of Application¶
- Category theory. Classifies rigidity of functors.
- Concrete categories. Tests whether underlying identities conceal structural change.
- Topological categories. Studies structured objects over a base category.
- Categorical algebra. Compares amnesticity with faithfulness and conservativity.
Clarity¶
Give source and target categories, object and morphism action, the exact source isomorphism, its identity image and object, and the proof or counterexample that the source morphism is an identity. Inclusion test: Specify categories A and B, functor F, a source isomorphism f, verify that F(f) is an identity on the image object, and test whether f is necessarily the corresponding source identity. Exclusion test: Exclude faithful, conservative, skeletal, or forgetful functors considered without the identity-lifting implication, and tests on arbitrary noninvertible morphisms. Nearest boundary: A faithful functor is amnestic because distinct morphisms cannot share an identity image, but amnesticity alone need not make the functor faithful on all hom-sets. Exit condition: The functor fails the class as soon as one nonidentity source isomorphism maps to a target identity. Common misclassifications: It is not the same as a faithful functor. It is not merely a functor that reflects isomorphisms. It does not test all noninvertible morphisms. A forgetful functor need not be amnestic. Nearest named distinctions: Faithful functor: Is injective on each hom-set and is stronger in a different way. Conservative functor: Reflects whether a morphism is an isomorphism. Forgetful functor: Describes purpose, not necessarily amnesticity. Skeletal category: Restricts isomorphic objects within one category rather than a functor's images.
Manages Complexity¶
The property isolates a precise boundary between harmless information loss and loss that collapses a nontrivial structural equivalence into literal identity.
Abstract Reasoning¶
- Choose an arbitrary source isomorphism.
- Assume its image is a target identity.
- Use source structure and functor behavior to compare its endpoints.
- Prove the morphism is the source identity, or exhibit a counterexample.
- Distinguish the result from stronger functor properties.
Knowledge Transfer¶
Amnesticity arguments transfer between structured categories only when their notions of object equality, structure preservation, and underlying identity are made explicit.
Relationships to Other Abstractions¶
Current abstraction Amnestic Functor Domain-specific
Parents (1) — more general patterns this builds on
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Amnestic Functor is a kind of Functor Domain-specific
An Amnestic Functor is a Functor that reflects target identities among source isomorphisms.
Hierarchy paths (4) — routes to 4 parentless roots
- Amnestic Functor → Functor → Category → Associativity → Invariance
- Amnestic Functor → Functor → Function (Mapping)
- Amnestic Functor → Functor → Category → Closure
- Amnestic Functor → Functor → Category → Associativity → Symmetry
Neighborhood in Abstraction Space¶
Amnestic Functor sits in a crowded region of the domain-specific corpus (26th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.
Family — Category Theory & Higher Structures (18 abstractions)
Nearest neighbors
- Monoidal Natural Transformation — 0.90
- K-theory — 0.90
- Quasi-Isomorphism — 0.90
- Bijective proof — 0.89
- Simplicial Localization — 0.89
Computed from structural-signature embeddings · 2026-10-08