Covariant Fibrations Skill: Directed Transport

Status: ✅ Production Ready Trit: -1 (MINUS - validator/constraint) Color: #2626D8 (Blue) Principle: Type families respect directed morphisms Frame: Covariant transport along 2-arrows

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Overview

Covariant Fibrations are type families B : A → U where transport goes with the direction of morphisms. In directed type theory, this ensures type families correctly propagate along the directed interval 𝟚.

1. Directed interval 𝟚: Type with 0 → 1 (not invertible)
2. Covariant transport: f : a → a' induces B(a) → B(a')
3. Segal condition: Composition witness for ∞-categories
4. Fibration condition: Lift existence (not uniqueness)

Core Formula

For P : A → U covariant fibration:
  transport_P : (f : Hom_A(a, a')) → P(a) → P(a')
  
Covariance: transport respects composition
  transport_{g∘f} = transport_g ∘ transport_f

-- Directed type theory (Narya-style)
covariant_fibration : (A : Type) → (P : A → Type) → Type
covariant_fibration A P = 
  (a a' : A) → (f : Hom A a a') → P a → P a'

Key Concepts

1. Covariant Transport

-- Transport along directed morphisms
cov-transport : {A : Type} {P : A → Type} 
              → is-covariant P
              → {a a' : A} → Hom A a a' → P a → P a'
cov-transport cov f pa = cov.transport f pa

-- Functoriality
cov-comp : cov-transport (g ∘ f) ≡ cov-transport g ∘ cov-transport f

2. Cocartesian Lifts

-- Cocartesian lift characterizes covariant fibrations
is-cocartesian : {E B : Type} (p : E → B) 
               → {e : E} {b' : B} → Hom B (p e) b' → Type
is-cocartesian p {e} {b'} f = 
  Σ (e' : E), Σ (f̃ : Hom E e e'), (p f̃ ≡ f) × is-initial(f̃)

3. Segal Types with Covariance

-- Covariant families over Segal types
covariant-segal : (A : Segal) → (P : A → Type) → Type
covariant-segal A P = 
  (x y z : A) → (f : Hom x y) → (g : Hom y z) →
  cov-transport (g ∘ f) ≡ cov-transport g ∘ cov-transport f

Commands

# Validate covariance conditions
just covariant-check fibration.rzk

# Compute cocartesian lifts
just cocartesian-lift base-morphism.rzk

# Generate transport terms
just cov-transport source target

Integration with GF(3) Triads

covariant-fibrations (-1) ⊗ directed-interval (0) ⊗ synthetic-adjunctions (+1) = 0 ✓  [Transport]
covariant-fibrations (-1) ⊗ elements-infinity-cats (0) ⊗ rezk-types (+1) = 0 ✓  [∞-Fibrations]

Related Skills

• directed-interval (0): Base directed type 𝟚
• synthetic-adjunctions (+1): Generate adjunctions from fibrations
• segal-types (-1): Validate Segal conditions

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Skill Name: covariant-fibrations Type: Directed Transport Validator Trit: -1 (MINUS) Color: #2626D8 (Blue)

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

• networkx [○] via bicomodule
  • Universal graph hub

Bibliography References

• homotopy-theory: 29 citations in bib.duckdb

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 7. Propagators

Concepts: propagator, cell, constraint, bidirectional, TMS

GF(3) Balanced Triad

covariant-fibrations (+) + SDF.Ch7 (○) + [balancer] (−) = 0

Skill Trit: 1 (PLUS - generation)

Connection Pattern

Propagators flow constraints bidirectionally. This skill propagates information.

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.