Klein–Gordon initial-value problem: energy estimate on the cones of dependence
OpenTegmarkDimensionality.klein_gordon_energy_estimateLet , , and let be a solution on of the Klein–Gordon equation
Let be the energy density. Then for every and all with ,
The data at on the disk therefore control the solution, with finite error bars, throughout the two cones (future and past). Applied to the difference of two solutions, the inequality shows that such data determine the solution uniquely in those cones. This is the well-posedness of the hyperbolic initial-value problem described in the paper.
import Mathlib import Definitions.Def_tegmark_laplacian open MeasureTheory
namespace TegmarkDimensionality
/-- Well-posedness of the initial-value problem for the Klein–Gordon equation
`u_tt = ∇²u - μ² u` on `ℝ × ℝⁿ`: the energy of a `C²` solution in the ball of radius
`R - |t|` about `x₀` at time `t` is bounded by the energy of the initial data in the ball
of radius `R` about `x₀`, for `|t| ≤ R`. In particular the data `(u, u_t)` on the disk
`|x - x₀| < R` at `t = 0` determine `u` in the two cones `|x - x₀| < R - |t|`. -/
theorem klein_gordon_energy_estimate (n : ℕ) (μ : ℝ)
(u : ℝ → EuclideanSpace ℝ (Fin n) → ℝ)
(hu : ContDiff ℝ 2 (fun p : ℝ × EuclideanSpace ℝ (Fin n) => u p.1 p.2))
(hKG : ∀ t x, deriv (fun s => deriv (fun s' => u s' x) s) t =
laplacian (u t) x - μ ^ 2 * u t x)
(x₀ : EuclideanSpace ℝ (Fin n)) (R t : ℝ) (ht : |t| ≤ R) :
∫ x in Metric.ball x₀ (R - |t|),
((deriv (fun s => u s x) t) ^ 2 + ‖fderiv ℝ (u t) x‖ ^ 2 + μ ^ 2 * (u t x) ^ 2) ≤
∫ x in Metric.ball x₀ R,
((deriv (fun s => u s x) 0) ^ 2 + ‖fderiv ℝ (u 0) x‖ ^ 2 + μ ^ 2 * (u 0 x) ^ 2) := by sorry
end TegmarkDimensionalityRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
NON-BLIND READ-BACK — NOT INDEPENDENT TESTIMONY. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement below, with full knowledge of the source paper and of the intended meaning. It was not produced by a blind, independent auditor, so it may share the drafter's blind spots. Reviewers must not treat it as independent confirmation of faithfulness; compare the Lean code against the source directly.
Let be a natural number, a real number, and , written . Assume:
- is twice continuously differentiable;
- for all : , where is the iterated one-variable derivative in and is the Laplacian in (sum of pure second derivatives along the standard basis).
Let and with . The theorem asserts
where is the open Euclidean ball, empty if , is the operator norm of the spatial derivative (equal to the length of the spatial gradient), and the integrals are against Lebesgue measure. When the left side is an integral over the empty set, hence .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.