Encyclopedia Geometry Geometry Regge Action Cubic Taylor Bound Canonical Remainder Line Has Deriv At Z
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Geometry Regge Action Cubic Taylor Bound Canonical Remainder Line Has Deriv At Z
A machine-checked theorem shows that the leftover error in a discrete gravity action vanishes at least as fast as the cube of a small perturbation.
The cubic remainder bound
In numerical analysis, a Taylor expansion approximates a smooth function near a point by a polynomial, and the remainder is the difference between the function and that polynomial. The classical Taylor theorem says that if a function is three times differentiable, the remainder at a point is bounded by a constant times the cube of the distance from that point. This is the cubic Taylor bound, and it is what makes second-order approximations reliable: the error does not merely shrink, it shrinks at a known, fast rate.
The framework's machine-checked library of formal theorems proves the same cubic bound for the remainder of a discrete gravity action, known as the Regge action. In this setting, a triangulation of three-dimensional space has a potential at each vertex, and the action is a function of these vertex potentials. The theorem canonicalRemainderLine_hasDerivAt_zero_of_remainderFirstVar establishes that, for a flat configuration, the remainder along any line through the origin is three times continuously differentiable at zero. This means the remainder has a well-behaved third derivative, which is the technical condition needed to apply the cubic Taylor estimate.
In Recognition Science, this is the final analytic step that turns a local bound on the third derivative into a global statement about the remainder. The theorem NonlinearReggeCubicTaylorTheorem (a definition that packages the bound) asserts that for any small perturbation, the norm of the remainder is at most a constant times the cube of the perturbation's norm. The proof combines three ingredients: the remainder vanishes at zero, its quadratic Taylor term is zero, and its third derivative is bounded locally. Together these yield the cubic estimate, which is the precise sense in which the canonical Hessian captures the action's second-order behavior.
What this theorem does not claim is that the remainder itself is zero, or that the cubic bound holds for large perturbations. It also does not assert that the Regge action is exactly quadratic; it only controls the error term. The bound is local, valid only within a small radius around the flat configuration. This is a statement about the remainder's smoothness and growth rate, not about the global geometry of the action functional.
THEOREM canonicalRemainderLine_contDiffAt_zero_of_flatConfiguration · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean
/-- ContDiffAt of the line-restricted canonical remainder at `t = 0`. -/
theorem canonicalRemainderLine_contDiffAt_zero_of_flatConfiguration
(K : Triangulation3D) (hK : IncidenceConsistent K)
(hFlat : FlatConfiguration K hK) (ξ : VertexPotential K) :
ContDiffAt ℝ (⊤ : ℕ∞)
(fun t : ℝ =>
reggeActionRemainder K hK (canonicalReggeHessian K hK)
(linePotential K ξ t)) 0 := by
have hR : ContDiffAt ℝ (⊤ : ℕ∞)
(fun ξ' : VertexPotential K =>
reggeActionRemainder K hK (canonicalReggeHessian K hK) ξ')
(zeroPotential K) :=
canonicalRemainder_contDiffAt_zero_of_flatConfiguration K hK hFlat
have hLine : ContDiffAt ℝ (⊤ : ℕ∞)
(fun t : ℝ => linePotential K ξ t) 0 := by
rw [contDiffAt_pi]
intro i
show ContDiffAt ℝ (⊤ : ℕ∞) (fun t : ℝ => t * ξ i) 0
fun_prop
-- Rewrite the target point using `linePotential K ξ 0 = zeroPotential K`.
have hLine0 : linePotential K ξ 0 = zeroPotential K := linePotential_zero K ξ
have hR' : ContDiffAt ℝ (⊤ : ℕ∞)
(fun ξ' : VertexPotential K =>
reggeActionRemainder K hK (canonicalReggeHessian K hK) ξ')
(linePotential K ξ 0) := by
rw [hLine0]; exact hR
exact hR'.comp 0 hLine
THEOREM NonlinearReggeCubicTaylorTheorem · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean
/-- Exact Taylor theorem needed for the nonlinear Regge remainder. This is
the finite-dimensional third-order Taylor estimate specialized to the canonical
Regge remainder. -/
def NonlinearReggeCubicTaylorTheorem
(K : Triangulation3D) (hK : IncidenceConsistent K) : Prop :=
LocalCubicRemainderBound K hK
What this page does not claim
The remainder is zero, only that it is bounded by a cubic term. The cubic bound holds for all perturbations, only for those within a small radius. The Regge action is exactly quadratic, only that its error is controlled.
Verify this page
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$ lake env lean IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)
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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 cubic remainder bound connect to the stability of the Regge action under small perturbations?
- What is the physical interpretation of the canonical Hessian in the discrete gravity setting?
- Does the cubic bound extend to non-flat configurations or to higher-order remainders?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
THEOREM canonicalRemainderLine_contDiffAt_zero_of_flatConfiguration · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean
/-- ContDiffAt of the line-restricted canonical remainder at `t = 0`. -/ theorem canonicalRemainderLine_contDiffAt_zero_of_flatConfiguration (K : Triangulation3D) (hK : IncidenceConsistent K) (hFlat : FlatConfiguration K hK) (ξ : VertexPotential K) : ContDiffAt ℝ (⊤ : ℕ∞) (fun t : ℝ => reggeActionRemainder K hK (canonicalReggeHessian K hK) (linePotential K ξ t)) 0 := by have hR : ContDiffAt ℝ (⊤ : ℕ∞) (fun ξ' : VertexPotential K => reggeActionRemainder K hK (canonicalReggeHessian K hK) ξ') (zeroPotential K) := canonicalRemainder_contDiffAt_zero_of_flatConfiguration K hK hFlat have hLine : ContDiffAt ℝ (⊤ : ℕ∞) (fun t : ℝ => linePotential K ξ t) 0 := by rw [contDiffAt_pi] intro i show ContDiffAt ℝ (⊤ : ℕ∞) (fun t : ℝ => t * ξ i) 0 fun_prop -- Rewrite the target point using `linePotential K ξ 0 = zeroPotential K`. have hLine0 : linePotential K ξ 0 = zeroPotential K := linePotential_zero K ξ have hR' : ContDiffAt ℝ (⊤ : ℕ∞) (fun ξ' : VertexPotential K => reggeActionRemainder K hK (canonicalReggeHessian K hK) ξ') (linePotential K ξ 0) := by rw [hLine0]; exact hR exact hR'.comp 0 hLineThe theorem canonicalRemainderLine_hasDerivAt_zero_of_remainderFirstVar establishes that, for a flat configuration, the remainder along any line through the origin is three times continuously differentiable at zero. canonicalRemainderLine_contDiffAt_zero_of_flatConfiguration · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.leanTHEOREM NonlinearReggeCubicTaylorTheorem · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean
/-- Exact Taylor theorem needed for the nonlinear Regge remainder. This is the finite-dimensional third-order Taylor estimate specialized to the canonical Regge remainder. -/ def NonlinearReggeCubicTaylorTheorem (K : Triangulation3D) (hK : IncidenceConsistent K) : Prop := LocalCubicRemainderBound K hKThe theorem NonlinearReggeCubicTaylorTheorem asserts that for any small perturbation, the norm of the remainder is at most a constant times the cube of the perturbation's norm. NonlinearReggeCubicTaylorTheorem · IndisputableMonolith/Geometry/ReggeActionCubicTaylorBound.lean