IndisputableMonolith.Information.PhysicsComplexityStructure
This module introduces the J-cost function and establishes its core algebraic properties, starting with non-negativity per IC-005.1, to structure complexity measures in Recognition Science information physics. Researchers deriving computational bounds from RS primitives would cite it when linking cost to Landauer's and Bremermann limits. The module is organized as a sequence of definitions followed by short algebraic lemmas that reduce directly to the J functional equation.
claimThe J-cost satisfies $J(x) = (x + x^{-1})/2 - 1$ with $J(x) = J(1/x)$ and $J(x) > 0$ for all $x > 0$, $x ≠ 1$.
background
Recognition Science derives computational limits from the single functional equation whose solution yields the J-cost. The upstream Constants module fixes the RS time quantum as τ₀ = 1 tick. The ComputationLimitsStructure module states that RS imposes three sources of limits on computation: Bremermann's limit, Landauer's bound, and quantum constraints, all expressed through cost quantities. This module supplies the J-cost as the explicit non-negative measure that quantifies deviation from the fixed point x = 1.
proof idea
This is a definition module whose lemmas are one-line wrappers or direct algebraic reductions. Non-negativity follows from rewriting J(x) as cosh(log x) - 1 and invoking the known minimum of cosh at zero. Symmetry and derivative signs are obtained by elementary differentiation and substitution x → 1/x.
why it matters in Recognition Science
The module supplies the non-negative cost measure required by the IC-002 computation-limits framework and the T5 J-uniqueness step of the forcing chain. It feeds downstream results that convert J-cost into explicit bounds on information processing rates. The IC-005.1 non-negativity theorem closes the gap between the abstract functional equation and concrete physical complexity estimates.
scope and limits
- Does not compute numerical values for physical constants.
- Does not treat specific quantum algorithms or hardware.
- Does not include empirical data or experimental comparisons.
- Does not extend beyond the algebraic properties of J.
depends on (3)
declarations in this module (25)
-
structure
of -
theorem
jcost_nonneg -
theorem
jcost_unique_minimum -
theorem
jcost_squared_form -
theorem
jcost_pos_away_from_one -
theorem
jcost_symmetric -
def
jcost_deriv -
theorem
jcost_deriv_zero_at_one -
theorem
jcost_deriv_pos_of_gt_one -
theorem
jcost_deriv_neg_of_lt_one -
structure
LedgerConfig -
def
totalJCost -
theorem
total_jcost_nonneg -
theorem
balanced_config_zero_cost -
lemma
sum_nonneg_zero_iff -
theorem
verification_equivalence -
def
physics_complexity_from_ledger -
theorem
physics_complexity_structure -
theorem
physics_complexity_implies_limits -
theorem
phi_hierarchy_exponential -
theorem
phi_rung_complexity_unbounded -
theorem
jcost_gradient_descent_converges -
theorem
jcost_complexity_gap -
def
rs_complexity_classes -
def
ic005_certificate