Superelastic Quotient
Trit: 0 (ERGODIC - coordinates elastic boundaries)
Foundation: StructuredDecompositions.jl + Ordered Locales + Sheaf Cohomology
Principle: Maximum resolution quotients that stretch without breaking
Core Insight
Superelasticity = ability to deform equivalence classes while preserving:
- Spatial coherence (open cone conditions from ordered locales)
- GF(3) conservation (triadic balance)
- Sheaf condition (local-to-global gluing)
FINE RESOLUTION
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
┌──────┐ ┌──────┐ ┌──────┐
│[-1] │───────►│[ 0] │───────►│[+1] │
│MINUS │◄───────│ERGODIC│◄───────│PLUS │
└──────┘ └──────┘ └──────┘
│ │ │
└─────────────────┼─────────────────┘
│
COARSE QUOTIENT
Elasticity = bidirectional refinement/coarsening
Mathematical Structure
Ordered Locale for Spatial Direction
From ordered locales (Heunen-van der Schaaf 2024):
# Frame L with compatible preorder ≪
struct SpatialQuotient{L}
locale::OrderedLocale{L}
equivalence::Function # x ~ y iff x ≪ y and y ≪ x
resolution::Int # Current quotient level
max_resolution::Int # Finest grain achievable
end
# Open cone condition: ↟U must be open for quotient consistency
function is_elastic(sq::SpatialQuotient)
for U in opens(sq.locale)
# Upper cone must be open
if !is_open(upper_cone(sq.locale, U))
return false
end
end
return true
end
Resolution Spectrum
# Quotient tower: finest → coarsest
#
# Level 0: Individual points (maximum resolution)
# Level 1: Local neighborhoods
# Level 2: Triadic clusters (GF(3) bags)
# Level 3: Skill categories
# Level N: Single equivalence class (minimum resolution)
struct QuotientTower
levels::Vector{SpatialQuotient}
morphisms::Vector{Functor} # Level i → Level i+1
function QuotientTower(base::SpatialQuotient)
# Build tower via successive quotients
levels = [base]
while !is_trivial(last(levels))
push!(levels, quotient_step(last(levels)))
push!(morphisms, quotient_map(levels[end-1], levels[end]))
end
new(levels, morphisms)
end
end
# Superelasticity: can jump any number of levels
function elastic_quotient(tower::QuotientTower, source_level::Int, target_level::Int)
if target_level > source_level
# Coarsening: compose quotient maps
compose(tower.morphisms[source_level:target_level-1]...)
else
# Refinement: right adjoint (splitting)
adjoint(compose(tower.morphisms[target_level:source_level-1]...))
end
end
Spatial Decomposition Pattern
Tripartite Spatial Bags
@present SchSpatialTripartite(FreeSchema) begin
(Region, Boundary, Point)::Ob
# Spatial inclusion
region_boundary::Hom(Boundary, Region)
boundary_point::Hom(Point, Boundary)
# GF(3) trit assignment
trit::Attr(Region, Int) # ∈ {-1, 0, +1}
# Spatial coordinates
coord::Attr(Point, Vector{Float64})
# Quotient level
level::Attr(Region, Int)
end
@acset_type SpatialDecomp(SchSpatialTripartite)
# Verify spatial + GF(3) coherence
function verify_superelastic(sd::SpatialDecomp)
# 1. Check GF(3) conservation
trits = sd[:, :trit]
@assert sum(trits) % 3 == 0 "GF(3) violation"
# 2. Check spatial coherence (open cone condition)
for r in parts(sd, :Region)
boundary = incident(sd, r, :region_boundary)
@assert forms_open_cone(sd, boundary) "Spatial violation"
end
# 3. Check elasticity (can refine/coarsen)
@assert has_refinement(sd) && has_quotient(sd) "Not elastic"
return true
end
Resolution-Adaptive Navigation
# Specter-style navigators with resolution awareness
struct ResolutionNavigator
base_path::Vector{Symbol}
min_level::Int
max_level::Int
end
# Navigate at current resolution
function select_at_level(nav::ResolutionNavigator, level::Int, target)
if level < nav.min_level || level > nav.max_level
# Elastic stretch to accommodate
stretched_nav = stretch_navigator(nav, level)
return select(stretched_nav.base_path, target)
end
return select(nav.base_path, target)
end
# Bidirectional resolution transform
function transform_elastic(nav::ResolutionNavigator, f::Function, target,
source_level::Int, target_level::Int)
# Get current view at source level
view = select_at_level(nav, source_level, target)
# Apply transform
transformed = f(view)
# Project to target level (quotient or refine)
if target_level > source_level
return quotient_to_level(transformed, target_level)
else
return refine_to_level(transformed, target_level)
end
end
Skill Decomposition Example
# Decompose 524+ skills into spatial triads
function skill_spatial_decomposition(skills::Vector{Symbol}, resolution::Int)
# Level 0: Individual skills
base = SpatialDecomp()
for skill in skills
trit = skill_to_trit(skill)
coord = skill_to_embedding(skill) # From skill-embedding-vss
add_point!(base, skill, trit, coord)
end
# Build quotient tower
tower = QuotientTower(base)
# Return view at requested resolution
return elastic_quotient(tower, 0, resolution)
end
# Example usage:
# Level 0: 524 individual skills
# Level 1: ~175 triadic clusters (3 skills each, GF(3) balanced)
# Level 2: ~58 mega-triads (3 clusters each)
# Level 3: ~19 domains
# Level 4: 6 "worlds" (a-z mapped)
# Level 5: 2 hemispheres (generator/validator)
# Level 6: 1 unified skill space
Integration with Cat# Three Homes
# Each home operates at different resolution scales
HOME_RESOLUTIONS = Dict(
1 => ( # Polynomial Comonads
name = "State Dynamics",
typical_level = 0..2, # Fine-grained, individual behaviors
skill = :gay-mcp,
trit = +1
),
2 => ( # Monads in Span
name = "Schema Relations",
typical_level = 2..4, # Medium, relational structure
skill = :acsets,
trit = 0
),
3 => ( # Path Algebras
name = "Equivalence Classes",
typical_level = 3..6, # Coarse, bisimulation quotients
skill = :bisimulation-game,
trit = -1
)
)
# Superelastic: can operate across all levels
function dispatch_to_home_elastic(concept, resolution::Int)
home = concept_to_home(concept)
home_range = HOME_RESOLUTIONS[home].typical_level
if resolution in home_range
# Native resolution
return (home, :native, resolution)
else
# Elastic stretch
direction = resolution < first(home_range) ? :refine : :coarsen
return (home, direction, resolution)
end
end
Sheaf-Theoretic Gluing
# Superelastic quotients preserve the sheaf condition
# across all resolution levels
struct ElasticSheaf{C}
presheaf::Functor{Op{C}, FinSet}
tower::QuotientTower
end
# Sheaf condition at any resolution level
function sheaf_condition(es::ElasticSheaf, level::Int)
projected = project_to_level(es.presheaf, es.tower, level)
# For each covering family at this level
for cover in coverings(es.tower.levels[level])
# Sections must glue
sections = [projected(U) for U in cover]
if !unique_amalgamation(sections, overlaps(cover))
return false
end
end
return true
end
# Maximum resolution = finest quotient where sheaf condition holds
function max_elastic_resolution(es::ElasticSheaf)
for level in 0:length(es.tower.levels)-1
if !sheaf_condition(es, level)
return level - 1 # Last valid level
end
end
return length(es.tower.levels) - 1
end
DuckDB Integration
-- Schema for spatial quotient tracking
CREATE TABLE IF NOT EXISTS spatial_quotients (
quotient_id UUID PRIMARY KEY,
level INT NOT NULL,
trit TINYINT NOT NULL,
region_name VARCHAR,
parent_quotient UUID,
child_count INT,
spatial_centroid DOUBLE[],
is_elastic BOOLEAN DEFAULT true,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT gf3_check CHECK (trit IN (-1, 0, 1))
);
-- Quotient tower as recursive CTE
WITH RECURSIVE tower AS (
-- Base: finest level
SELECT quotient_id, level, trit, region_name, parent_quotient
FROM spatial_quotients WHERE level = 0
UNION ALL
-- Recursive: coarser levels
SELECT sq.quotient_id, sq.level, sq.trit, sq.region_name, sq.parent_quotient
FROM spatial_quotients sq
JOIN tower t ON sq.parent_quotient = t.quotient_id
)
SELECT level, COUNT(*) as regions, SUM(trit) % 3 as gf3_check
FROM tower
GROUP BY level
ORDER BY level;
GF(3) Balanced Triads
Superelastic Conservation Law:
─────────────────────────────
At EVERY resolution level, triadic decompositions sum to 0 mod 3
Level 0: skill₁(-1) ⊗ skill₂(0) ⊗ skill₃(+1) = 0 ✓
Level 1: cluster₁(-1) ⊗ cluster₂(0) ⊗ cluster₃(+1) = 0 ✓
Level 2: domain₁(-1) ⊗ domain₂(0) ⊗ domain₃(+1) = 0 ✓
...
Level N: unified(-1 + 0 + 1) = 0 ✓
Elasticity preserves this invariant under stretch!
GF(3) Triads for This Skill
structured-decomp (-1) ⊗ superelastic-quotient (0) ⊗ gay-mcp (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ superelastic-quotient (0) ⊗ topos-generate (+1) = 0 ✓
ordered-locale (-1) ⊗ superelastic-quotient (0) ⊗ tripartite-decompositions (+1) = 0 ✓
Babashka CLI
# Query at different resolution levels
bb superelastic-quotient.bb --level 0 --skill gay-mcp # Individual
bb superelastic-quotient.bb --level 2 --skill gay-mcp # Triadic cluster
bb superelastic-quotient.bb --level 4 --skill gay-mcp # Domain
# Find maximum elastic resolution for concept
bb superelastic-quotient.bb --max-resolution "polynomial comonad"
# Stretch between levels
bb superelastic-quotient.bb --stretch 0 4 --skill acsets
References
- Bumpus et al. "Compositional Algorithms on Compositional Data" (ACT 2023)
- Heunen & van der Schaaf "Ordered Locales" (2024)
- StructuredDecompositions.jl documentation
- Ordered locale skill for spatial coherence
Autopoietic Marginalia
The interaction IS the skill improving itself.
Every use of this skill is an opportunity for worlding:
- MEMORY (-1): Record what was learned
- REMEMBERING (0): Connect patterns to other skills
- WORLDING (+1): Evolve the skill based on use
Add Interaction Exemplars here as the skill is used.