def
definition
IsCalibrated
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IndisputableMonolith.Cost.FunctionalEquation on GitHub at line 601.
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depends on
used by
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cost_algebra_unique -
cost_algebra_unique_aczel -
PrimitiveCostHypotheses -
washburn_uniqueness_of_contDiff -
isCalibratedLimit_of_isCalibrated -
isCalibrated_of_isCalibratedLimit -
washburn_uniqueness -
washburn_uniqueness_aczel -
washburn_uniqueness_aczel -
Jcost_is_calibrated -
unique_cost_on_pos_from_rcl -
J_is_unique_cost_under_logic
formal source
598
599/-- **Calibration (Condition 1.2)**:
600lim_{t→0} 2·F(e^t)/t² = 1, equivalently G''(0) = 1 where G(t) = F(e^t). -/
601def IsCalibrated (F : ℝ → ℝ) : Prop :=
602 deriv (deriv (G F)) 0 = 1
603
604/-- **Calibration (limit form)**:
605lim_{t→0} 2·F(e^t)/t² = 1, expressed on H = G + 1. -/
606def IsCalibratedLimit (F : ℝ → ℝ) : Prop :=
607 HasLogCurvature (H F) 1
608
609lemma taylorWithinEval_succ_real (H : ℝ → ℝ) (n : ℕ) (x₀ x : ℝ) :
610 taylorWithinEval H (n + 1) Set.univ x₀ x =
611 taylorWithinEval H n Set.univ x₀ x +
612 (((n + 1 : ℝ) * (Nat.factorial n))⁻¹ * (x - x₀) ^ (n + 1)) *
613 iteratedDerivWithin (n + 1) H Set.univ x₀ := by
614 simpa [smul_eq_mul] using taylorWithinEval_succ H n Set.univ x₀ x
615
616lemma taylorWithinEval_one_univ (H : ℝ → ℝ) (x : ℝ) :
617 taylorWithinEval H 1 Set.univ 0 x = H 0 + deriv H 0 * x := by
618 have h := taylorWithinEval_succ_real H 0 0 x
619 -- simplify the Taylor term at order 1
620 have h' :
621 taylorWithinEval H 1 Set.univ 0 x = H 0 + x * deriv H 0 := by
622 simp [taylor_within_zero_eval, iteratedDerivWithin_univ, iteratedDerivWithin_one,
623 iteratedDeriv_one, derivWithin_univ, sub_eq_add_neg] at h
624 simpa [mul_comm] using h
625 simpa [mul_comm] using h'
626
627lemma taylorWithinEval_two_univ (H : ℝ → ℝ) (x : ℝ) :
628 taylorWithinEval H 2 Set.univ 0 x =
629 H 0 + deriv H 0 * x + (deriv (deriv H) 0) / 2 * x^2 := by
630 have h := taylorWithinEval_succ_real H 1 0 x
631 have h0 :
papers checked against this theorem (showing 1 of 1)
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One golden-ratio curve organizes four periodic-table trends at once
"The model's input cost function J is the unique solution on R_>0 of the functional equation J(xy) + J(x/y) = 2 J(x) J(y) + 2 J(x) + 2 J(y), under the regularity conditions of continuity, normalization J(1)=0, stationarity J'(1)=0, and positive curvature J''(1)>0 ... The unique solution is J(x) = ½(x + x⁻¹) − 1 = cosh(ln x) − 1."