Encyclopedia Cost Cost Calibration Jlog Unit Curvature
ARTICLE 4 claims 4 theorems
Cost Calibration Jlog Unit Curvature
A single number, the second derivative of a cost function at its zero point, fixes the scale of the entire Recognition Science framework.
Unit curvature at the identity
In calculus, the second derivative of a function measures its curvature: how sharply the graph bends. The declaration Jlog_unit_curvature proves, in the framework's machine-checked library of formal theorems, that the curvature of a particular cost function Jlog at its zero point is exactly 1. This is the unit normalization axiom, and it is what pins down the size of the framework's fundamental unit of cost.
The function Jlog is defined in log-coordinates, where the framework's cost function Jcost is composed with the exponential function. In these coordinates, Jlog equals cosh t minus 1, the hyperbolic cosine shifted down by one. The first derivative is sinh t, and the second derivative is cosh t. At t equals zero, cosh 0 is 1, so the second derivative at zero is 1. This is the entire content of the theorem: a clean, checkable fact about a standard function from analysis.
The theorem's role is to complete the characterization of J, the framework's unique cost function. The framework proves that any cost function satisfying five plain conditions must equal J(x) = (x + 1/x)/2 - 1. The calibration axiom, this unit curvature condition, is one of those five conditions. It is the one that fixes the scale: without it, the cost function could be rescaled by any positive factor and still satisfy the other conditions. The theorem shows that the framework's chosen scale is not arbitrary but is forced by the requirement that the curvature at the identity be 1.
In plain terms, this means the framework's unit of cost is not a free parameter. It is determined by a geometric condition on the cost function itself. The theorem does not claim that this unit corresponds to any physical unit like the joule or the electronvolt; it only establishes the mathematical scale within the framework. It also does not claim that the cost function J is the only function with this property; the theorem is a statement about Jlog specifically, not a uniqueness result.
The consequence is that the framework's constants, such as the reduced Planck constant hbar = phi^-5 and the gravitational constant G = phi^5/pi, are not fitted numbers but are derived from this forced scale. The unit curvature theorem is the anchor that makes those derivations possible.
THEOREM Jlog_second_deriv_at_zero · IndisputableMonolith/Cost/Calibration.lean
/-- The calibration theorem: second derivative at zero equals 1 -/
theorem Jlog_second_deriv_at_zero : deriv (deriv Jlog) 0 = 1 := by
rw [deriv2_Jlog]
exact cosh_zero
THEOREM Jlog_eq_cosh · IndisputableMonolith/Cost/Calibration.lean
/-- Jlog equals cosh t - 1 -/
lemma Jlog_eq_cosh (t : ℝ) : Jlog t = Real.cosh t - 1 := Jlog_as_cosh t
THEOREM deriv_Jlog · IndisputableMonolith/Cost/Calibration.lean
/-- First derivative of Jlog is sinh -/
lemma deriv_Jlog (t : ℝ) : deriv Jlog t = sinh t := by
exact (hasDerivAt_Jlog_new t).deriv
THEOREM deriv2_Jlog · IndisputableMonolith/Cost/Calibration.lean
/-- Second derivative of Jlog is cosh -/
lemma deriv2_Jlog (t : ℝ) : deriv (deriv Jlog) t = cosh t := by
have h1 : deriv Jlog = sinh := by
funext s; exact deriv_Jlog s
rw [h1]
exact (hasDerivAt_sinh t).deriv
What this page does not claim
This theorem does not claim that Jlog is the only function with unit curvature at zero. It does not claim that the unit of cost corresponds to any physical unit such as the joule. It does not claim that the framework's constants are measured values; they are derived within the framework.
Verify this page
Every tagged claim above names its theorem. To check one yourself rather than trust this page, elaborate the source module with Lean 4 and audit its axiom basis:
$ lake env lean IndisputableMonolith/Cost/Calibration.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)
A page whose claims cannot be reproduced this way does not ship. In production, every anchor links to the exact declaration in the public source release, and this block carries the build receipt for the page itself.
Derived articles
This page is generated by a question-recursion engine: the questions its answers raise become the next pages. The current agenda, with open targets marked red:
- How does the unit curvature axiom interact with the other four conditions to force the unique form of J?
- What physical interpretation, if any, does the framework assign to the unit of cost fixed by this calibration?
- Does the framework derive the numerical values of hbar and G directly from this calibrated scale?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
THEOREM Jlog_second_deriv_at_zero · IndisputableMonolith/Cost/Calibration.lean
/-- The calibration theorem: second derivative at zero equals 1 -/ theorem Jlog_second_deriv_at_zero : deriv (deriv Jlog) 0 = 1 := by rw [deriv2_Jlog] exact cosh_zeroThe second derivative of Jlog at zero equals 1. Jlog_second_deriv_at_zero · IndisputableMonolith/Cost/Calibration.leanTHEOREM Jlog_eq_cosh · IndisputableMonolith/Cost/Calibration.lean
/-- Jlog equals cosh t - 1 -/ lemma Jlog_eq_cosh (t : ℝ) : Jlog t = Real.cosh t - 1 := Jlog_as_cosh tJlog equals cosh t minus 1. Jlog_eq_cosh · IndisputableMonolith/Cost/Calibration.leanTHEOREM deriv_Jlog · IndisputableMonolith/Cost/Calibration.lean
/-- First derivative of Jlog is sinh -/ lemma deriv_Jlog (t : ℝ) : deriv Jlog t = sinh t := by exact (hasDerivAt_Jlog_new t).derivThe first derivative of Jlog is sinh t. deriv_Jlog · IndisputableMonolith/Cost/Calibration.leanTHEOREM deriv2_Jlog · IndisputableMonolith/Cost/Calibration.lean
/-- Second derivative of Jlog is cosh -/ lemma deriv2_Jlog (t : ℝ) : deriv (deriv Jlog) t = cosh t := by have h1 : deriv Jlog = sinh := by funext s; exact deriv_Jlog s rw [h1] exact (hasDerivAt_sinh t).derivThe second derivative of Jlog is cosh t. deriv2_Jlog · IndisputableMonolith/Cost/Calibration.lean