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Laplacian on Rn\mathbb R^nRn

Definition
tegmark_laplacian

by Lucas · Oct 2, 2026 · Mathlib 0df444a (Lean v4.33.1)

mathematical-physicspde

For a function f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R and a point x∈Rnx\in\mathbb R^nx∈Rn, the Laplacian is

∇2f(x)=∑i=1n∂2f∂xi2(x)=∑i=1nD2f(x)(ei,ei),\nabla^2 f(x)=\sum_{i=1}^n \frac{\partial^2 f}{\partial x_i^2}(x)=\sum_{i=1}^n D^2 f(x)(e_i,e_i),∇2f(x)=i=1∑n​∂xi2​∂2f​(x)=i=1∑n​D2f(x)(ei​,ei​),

where e1,…,ene_1,\dots,e_ne1​,…,en​ is the standard basis and D2f(x)D^2 f(x)D2f(x) is the second Fréchet derivative.

It appears in the Poisson equation ∇2ϕ=ρ\nabla^2\phi=\rho∇2ϕ=ρ for the electrostatic or gravitational potential, in the wave and Klein–Gordon equations, and in Ásgeirsson's ultrahyperbolic equation.

Formalization Note Rn\mathbb R^nRn is EuclideanSpace ℝ (Fin n). When fff is not twice differentiable at xxx, Lean's derivative conventions give a junk value (typically 000), so statements using the Laplacian must assume enough regularity themselves.

Definition code
import Mathlib

namespace TegmarkDimensionality

/-- The Laplacian `∇² f (x) = ∑ᵢ ∂²f/∂xᵢ² (x)` of a real function on `ℝⁿ`, written as the sum
of the pure second derivatives along the standard coordinate directions. -/
noncomputable def laplacian {n : ℕ} (f : EuclideanSpace ℝ (Fin n) → ℝ)
    (x : EuclideanSpace ℝ (Fin n)) : ℝ :=
  ∑ i, iteratedFDeriv ℝ 2 f x ![EuclideanSpace.single i 1, EuclideanSpace.single i 1]

end TegmarkDimensionality
Source
M. Tegmark, *On the dimensionality of spacetime*, Class. Quantum Grav. 14 (1997) L69–L75, https://doi.org/10.1088/0264-9381/14/4/002, p. L70 (Poisson equation ∇2ϕ=ρ\nabla^2\phi=\rho∇2ϕ=ρ)
Read-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.

For a natural number nnn, a function f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R (Euclidean nnn-space) and a point xxx, the quantity ∇2f(x)\nabla^2 f(x)∇2f(x) is defined as

∇2f(x)=∑i=1nD2f(x)(ei,ei),\nabla^2 f(x)=\sum_{i=1}^{n} D^2f(x)(e_i,e_i),∇2f(x)=i=1∑n​D2f(x)(ei​,ei​),

where eie_iei​ is the iii-th standard unit vector and D2f(x)D^2f(x)D2f(x) is the second iterated Fréchet derivative of fff at xxx, viewed as a bilinear form. The derivative of a non-differentiable function is 000 by convention, so ∇2f(x)\nabla^2f(x)∇2f(x) is a junk value, typically 000, when fff is not twice differentiable near xxx. For n=0n=0n=0 the sum is empty and ∇2f=0\nabla^2 f=0∇2f=0.

Human review
  • Endorsed by Shuze Chen · Oct 2, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 2, 2026

    Confirmed by the mission captain (proposal self-audit).

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