Datalog bottom-up fixpoint iteration for recursive queries
Scanned 9/6/2026
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---
name: datalog-fixpoint
description: Datalog bottom-up fixpoint iteration for recursive queries
trit: 0
color: "#26D826"
catsharp:
home: Prof
poly_op: ⊗ (parallel)
kan_role: Adj
bicomodule: true
---
# Datalog Fixpoint Skill
Bottom-up fixpoint iteration for recursive Datalog queries without explicit recursion.
## Core Concept
Datalog computes fixpoints via iterative saturation:
```
T^0(∅) → T^1 → T^2 → ... → T^ω (fixpoint)
```
Where T is the immediate consequence operator.
## Cat# Integration
Fixpoint computation maps to Cat# via coalgebraic semantics:
```
Trit: 0 (ERGODIC - iterative bridge)
Home: Prof (profunctors/bimodules)
Poly Op: ⊗ (parallel saturation)
Kan Role: Adj (Kleisli adjunction)
```
### GF(3) Naturality
Datalog fixpoint iteration is inherently ERGODIC:
- Each iteration step is a natural transformation
- Convergence = reaching the terminal coalgebra
- The fixpoint IS the bicomodule equilibrium
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