IndisputableMonolith.Information.LocalCache
The LocalCache module supplies cost accounting for uncached and cached access in information hierarchies. It defines totalAccessCost as the weighted sum of frequencies times distances, plus cachedAccessCost and local_cache_benefit, together with lemmas on Fibonacci recurrence, constant ratio, and J-cost symmetry. Researchers analyzing cache optimization under Recognition Science cite these when deriving self-similar partitions. The module contains only definitions and supporting calculations with no proofs.
claimtotalAccessCost = $\sum_i f_i d_i$ (weighted sum of access frequencies $f_i$ and distances $d_i$); cachedAccessCost is the corresponding reduced sum after local storage; local_cache_benefit is their difference. Supporting results include the Fibonacci recurrence $F_n = F_{n-1} + F_{n-2}$, constant_ratio forcing the golden ratio, and J-cost symmetry forcing geometric boundaries.
background
This module belongs to the Information domain. It imports the RS time quantum $\tau_0 = 1$ tick from Constants and the J-cost framework from Cost. The supplied doc-comment states that totalAccessCost is the weighted sum of access frequencies times distances. Sibling definitions cover cachedAccessCost, local_cache_benefit, fibonacci_recurrence, constant_ratio, fibonacci_ratio_forces_golden, fibonacci_partition_forces_phi, Jcost_symmetry_forces_geometric_boundary, synapse_cost, Jcost_pos_away_from_one, hebbian_sign_structure, and Jcost_min_at_one.
proof idea
This is a definition module, no proofs.
why it matters in Recognition Science
The definitions feed directly into the PhiHierarchyGrowth module, whose doc-comment states that J-cost gradient descent on cache hierarchies necessarily converges to the Fibonacci/φ partition. The module therefore supplies the cost model required for the argument that self-similar hierarchies arise from gradient flow on J-cost.
scope and limits
- Does not prove convergence of any hierarchy to a fixed point.
- Does not define the full space of cache hierarchies.
- Does not connect definitions to the T0-T8 forcing chain.
- Does not compute numerical values inside the alpha band.
- Does not address mass formulas or Berry thresholds.
used by (1)
depends on (2)
declarations in this module (16)
-
def
totalAccessCost -
def
cachedAccessCost -
theorem
local_cache_benefit -
def
fibonacci_recurrence -
def
constant_ratio -
theorem
fibonacci_ratio_forces_golden -
theorem
fibonacci_partition_forces_phi -
theorem
Jcost_symmetry_forces_geometric_boundary -
def
synapse_cost -
theorem
Jcost_pos_away_from_one -
theorem
hebbian_sign_structure -
theorem
Jcost_min_at_one -
theorem
Jcost_pos_of_ne_one -
def
working_memory_capacity -
theorem
working_memory_approx -
def
localCacheStatus