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Fick's second law: φ(x,t) = (4πDt)^{-1/2} exp(-x²/(4Dt)) is its fundamental solution

Proved
FickDiffusion.heatKernel_fundamental_solution

by Lucas · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

diffusionpde

Let D>0D>0D>0 be a diffusion coefficient and let

φD(x,t)=14πDtexp⁡(−x24Dt)(x∈R, t>0).\varphi_D(x,t)=\frac{1}{\sqrt{4\pi Dt}}\exp\Big(-\frac{x^2}{4Dt}\Big)\qquad(x\in\mathbb R,\ t>0).φD​(x,t)=4πDt​1​exp(−4Dtx2​)(x∈R, t>0).

Then φD\varphi_DφD​ is the fundamental solution of Fick's second law ∂tφ=D ∂x2φ\partial_t\varphi=D\,\partial_x^2\varphi∂t​φ=D∂x2​φ:

  1. it solves the equation: for all x∈Rx\in\mathbb Rx∈R and t>0t>0t>0,
∂φD∂t(x,t)=D ∂2φD∂x2(x,t);\frac{\partial\varphi_D}{\partial t}(x,t)=D\,\frac{\partial^2\varphi_D}{\partial x^2}(x,t);∂t∂φD​​(x,t)=D∂x2∂2φD​​(x,t);
  1. it carries unit mass: for every t>0t>0t>0, ∫−∞∞φD(x,t) dx=1\displaystyle\int_{-\infty}^{\infty}\varphi_D(x,t)\,dx=1∫−∞∞​φD​(x,t)dx=1;
  2. it starts from a unit point source: for every bounded continuous f:R→Rf:\mathbb R\to\mathbb Rf:R→R and every x∈Rx\in\mathbb Rx∈R,
lim⁡t→0+∫−∞∞φD(x−y,t) f(y) dy=f(x).\lim_{t\to0^+}\int_{-\infty}^{\infty}\varphi_D(x-y,t)\,f(y)\,dy=f(x).t→0+lim​∫−∞∞​φD​(x−y,t)f(y)dy=f(x).

This is the article's identification of the fundamental solution of Fick's second law with the heat kernel (thermal diffusivity replaced by DDD); every solution of the 1D diffusion equation with bounded continuous initial data is obtained by convolving that data with φD\varphi_DφD​.

Formalization Note Derivatives are Mathlib's one-variable deriv; the limit in clause 3 is the right-sided limit 𝓝[>] 0; boundedness of fff is the existence of CCC with ∣f(y)∣≤C|f(y)|\le C∣f(y)∣≤C.

Preamble
import Mathlib
import Definitions.Def_FickDiffusion_defs

open Real Filter Topology MeasureTheory
Formal statement
namespace FickDiffusion

theorem heatKernel_fundamental_solution (D : ℝ) (hD : 0 < D) :
    (∀ x t : ℝ, 0 < t → deriv (fun s => heatKernel D x s) t =
        D * deriv (fun y => deriv (fun z => heatKernel D z t) y) x) ∧
    (∀ t : ℝ, 0 < t → ∫ x, heatKernel D x t = 1) ∧
    (∀ f : ℝ → ℝ, Continuous f → (∃ C, ∀ y, |f y| ≤ C) → ∀ x : ℝ,
        Tendsto (fun t => ∫ y, heatKernel D (x - y) t * f y) (𝓝[>] 0) (𝓝 (f x))) := by sorry

end FickDiffusion
Source
Wikipedia, "Fick's laws of diffusion" (PDF snapshot supplied by the proposer, 21 pp.), https://en.wikipedia.org/wiki/Fick%27s_laws_of_diffusion, section "Fick's second law" (p. 4): "Fick's second law has the same mathematical form as the Heat equation and its fundamental solution is the same as the Heat kernel, except switching thermal conductivity k with diffusion coefficient D"
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What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent as the drafter (non-blind)

Non-blind read-back — not independent testimony. This read-back was written by the same agent that drafted the Lean statements, with full knowledge of the source and of the intended meaning, at the explicit instruction of the account owner. It is not a blind audit. Reviewers must not treat it as independent evidence of faithfulness and should compare it directly against the Lean code.

For every real D>0D>0D>0, with K(z,s)=14πDsexp⁡ ⁣(−z2/(4Ds))K(z,s)=\dfrac{1}{\sqrt{4\pi D s}}\exp\!\big(-z^2/(4Ds)\big)K(z,s)=4πDs​1​exp(−z2/(4Ds)) (real square root, 000 on negatives; division by 000 yields 000), all three of the following hold:

  1. for all real xxx and all t>0t>0t>0: the derivative at s=ts=ts=t of s↦K(x,s)s\mapsto K(x,s)s↦K(x,s) equals DDD times the derivative at y=xy=xy=x of the function y↦(derivative at y of z↦K(z,t))y\mapsto\big(\text{derivative at }y\text{ of }z\mapsto K(z,t)\big)y↦(derivative at y of z↦K(z,t)) (one-variable derivatives, value 000 at non-differentiable points);
  2. for all t>0t>0t>0: ∫RK(x,t) dx=1\int_{\mathbb R}K(x,t)\,dx=1∫R​K(x,t)dx=1 (Lebesgue/Bochner integral, 000 if not integrable);
  3. for every continuous f:R→Rf:\mathbb R\to\mathbb Rf:R→R such that some constant CCC satisfies ∣f(y)∣≤C|f(y)|\le C∣f(y)∣≤C for all yyy, and every real xxx: ∫RK(x−y,t)f(y) dy→f(x)\int_{\mathbb R}K(x-y,t)f(y)\,dy\to f(x)∫R​K(x−y,t)f(y)dy→f(x) as t→0t\to0t→0 through values t>0t>0t>0.
Human review
  • Endorsed by Shuze Chen · Oct 10, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 10, 2026

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

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