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Problem 13 definitions — First-passage time of Brownian motion to an exponentially decaying boundary

Definition
rybin2026_p13_exponential_boundary

by wenxinzhang · Sep 1, 2026 · Mathlib c5ea003 (Lean v4.30.0)

brownian-motioncomputational-neurosciencefirst-passage-timesstochastic-processesvolterra-integral-equations

ElementaryExpr is a parameter-free inductive type whose elements are finite expression trees. It has a nullary variable expression; a rational-constant expression for every q∈Qq∈ℚq∈Q; a real-constant expression for every x∈Rx∈ℝx∈R; binary addition, subtraction, multiplication, and division expressions formed from any two expressions; and unary negation, exponential, logarithm, square-root, sine, cosine, and normal-density expressions formed from any one expression. There are no side conditions on any constructor and no equations identifying distinct constructor trees.

For every elementary expression EEE and every real input ttt, ElementaryExpr.eval assigns a real value, denoted ⟦E⟧(t)⟦E⟧(t)[[E]](t), recursively as follows: the variable evaluates to ttt; a rational constant qqq evaluates to its image in RℝR, independently of ttt; a real constant xxx evaluates to xxx, independently of ttt; addition, subtraction, multiplication, and division evaluate to ⟦A⟧(t)+⟦B⟧(t)⟦A⟧(t)+⟦B⟧(t)[[A]](t)+[[B]](t), ⟦A⟧(t)−⟦B⟧(t)⟦A⟧(t)-⟦B⟧(t)[[A]](t)−[[B]](t), ⟦A⟧(t)⟦B⟧(t)⟦A⟧(t)⟦B⟧(t)[[A]](t)[[B]](t), and ⟦A⟧(t)/⟦B⟧(t)⟦A⟧(t)/⟦B⟧(t)[[A]](t)/[[B]](t), respectively; negation evaluates to −⟦A⟧(t)-⟦A⟧(t)−[[A]](t); and the exponential, logarithm, square-root, sine, and cosine constructors evaluate to the corresponding real functions applied to ⟦A⟧(t)⟦A⟧(t)[[A]](t). The normal-density constructor evaluates to (2π)−1/2e−⟦A⟧(t)2/2(2π)^{-1/2}e^{-⟦A⟧(t)^2/2}(2π)−1/2e−[[A]](t)2/2. All operations are total: division by zero, including 0/00/00/0, evaluates to 000; the real logarithm evaluates to 000 at 000 and to the logarithm of the absolute value at a nonzero negative input; and the real square root evaluates to 000 on every nonpositive input. Thus every syntactically valid expression has a real value at every real input, with no domain-error condition.

For every b0,c,t∈Rb₀,c,t∈ℝb0​,c,t∈R, boundary is the real number b0e−ctb₀e^{-ct}b0​e−ct. No signs or nonzeroness conditions are imposed: b0=0b₀=0b0​=0 gives the identically zero function of ttt, c=0c=0c=0 gives the constant value b0b₀b0​, negative ccc is allowed and produces exponential growth in magnitude as ttt increases when b0≠0b₀≠0b0​=0, negative b0b₀b0​ is allowed, and negative, zero, and positive values of ttt are all within the definition. The declaration defines this formula but does not itself assert any decay property.

For every x∈Rx∈ℝx∈R, normalDensity is the real number (2π)−1/2e−x2/2(2π)^{-1/2}e^{-x^2/2}(2π)−1/2e−x2/2. It is defined for every real xxx; the declaration introduces only this function and does not itself assert that it integrates to one or attach a probability measure to it.

Given arbitrary b0,c∈Rb₀,c∈ℝb0​,c∈R and an arbitrary total function f:R→Rf:ℝ→ℝf:R→R, SolvesAbelEquation(b₀,c,f) means that for every real ttt, if t>0t>0t>0, then, writing B(u)=b0e−cuB(u)=b₀e^{-cu}B(u)=b0​e−cu and φ(x)=(2π)−1/2e−x2/2φ(x)=(2π)^{-1/2}e^{-x^2/2}φ(x)=(2π)−1/2e−x2/2, the equality ∫(0,t][1/√(t−s)] φ((B(t)−B(s))/√(t−s)) f(s) ds=[1/√t] φ(B(t)/√t)∫_{(0,t]} [1/√(t-s)]\,φ((B(t)-B(s))/√(t-s))\,f(s)\,ds=[1/√t]\,φ(B(t)/√t)∫(0,t]​[1/√(t−s)]φ((B(t)−B(s))/√(t−s))f(s)ds=[1/√t]φ(B(t)/√t) holds, where the integral is the real Lebesgue interval integral with its positive orientation from 000 to ttt. Equivalently, the boundary terms appearing in the equation are exactly B(t)=b0e−ctB(t)=b₀e^{-ct}B(t)=b0​e−ct and B(s)=b0e−csB(s)=b₀e^{-cs}B(s)=b0​e−cs. For t≤0t≤0t≤0, the implication is automatically true and imposes no condition; no equation at t=0t=0t=0 is required. For t>0t>0t>0, √t>0√t>0√t>0, while at the integration endpoint s=ts=ts=t one has √(t−s)=0√(t-s)=0√(t−s)=0; total real division makes both 1/√(t−s)1/√(t-s)1/√(t−s) and (B(t)−B(s))/√(t−s)=0/0(B(t)-B(s))/√(t-s)=0/0(B(t)−B(s))/√(t−s)=0/0 equal to 000 there, so the pointwise integrand at that endpoint is 000, and in any case a single endpoint has Lebesgue measure zero. No continuity, measurability, integrability, sign, normalization, or support condition is assumed directly of fff. Under the total convention used for the integral, a non-integrable weighted integrand has integral 000; since the right-hand side is strictly positive for every t>0t>0t>0, any fff satisfying the predicate must nevertheless make the displayed weighted integrand integrable on (0,t](0,t](0,t] for every positive ttt. The predicate is insensitive to fff on (−∞,0](-\infty,0](−∞,0] and to changes of fff on Lebesgue-null subsets of (0,∞)(0,\infty)(0,∞). It includes the degenerate parameter cases b0=0b₀=0b0​=0 and c=0c=0c=0, permits negative b0b₀b0​ and negative ccc, and asserts neither the existence nor the uniqueness of such an fff.

Definition code
import Mathlib

open MeasureTheory

namespace RybinAI2026.P13

/-- A fixed, auditable language of elementary real expressions. -/
inductive ElementaryExpr where
  | variable
  | rational : ℚ → ElementaryExpr
  | constant : ℝ → ElementaryExpr
  | add : ElementaryExpr → ElementaryExpr → ElementaryExpr
  | sub : ElementaryExpr → ElementaryExpr → ElementaryExpr
  | mul : ElementaryExpr → ElementaryExpr → ElementaryExpr
  | div : ElementaryExpr → ElementaryExpr → ElementaryExpr
  | neg : ElementaryExpr → ElementaryExpr
  | exp : ElementaryExpr → ElementaryExpr
  | log : ElementaryExpr → ElementaryExpr
  | sqrt : ElementaryExpr → ElementaryExpr
  | sin : ElementaryExpr → ElementaryExpr
  | cos : ElementaryExpr → ElementaryExpr
  | normalDensity : ElementaryExpr → ElementaryExpr

/-- Semantics of the elementary-expression language. -/
noncomputable def ElementaryExpr.eval : ElementaryExpr → ℝ → ℝ
  | .variable, t => t
  | .rational q, _ => q
  | .constant x, _ => x
  | .add a b, t => a.eval t + b.eval t
  | .sub a b, t => a.eval t - b.eval t
  | .mul a b, t => a.eval t * b.eval t
  | .div a b, t => a.eval t / b.eval t
  | .neg a, t => -a.eval t
  | .exp a, t => Real.exp (a.eval t)
  | .log a, t => Real.log (a.eval t)
  | .sqrt a, t => Real.sqrt (a.eval t)
  | .sin a, t => Real.sin (a.eval t)
  | .cos a, t => Real.cos (a.eval t)
  | .normalDensity a, t => (2 * Real.pi) ^ (-(1 : ℝ) / 2) *
      Real.exp (-(a.eval t) ^ 2 / 2)

/-- The exponentially decaying boundary. -/
noncomputable def boundary (b₀ c t : ℝ) : ℝ := b₀ * Real.exp (-c * t)

/-- The standard normal density. -/
noncomputable def normalDensity (x : ℝ) : ℝ :=
  (2 * Real.pi) ^ (-(1 : ℝ) / 2) * Real.exp (-x ^ 2 / 2)

/-- Durbin's generalized Abel equation for an exponential boundary. -/
def SolvesAbelEquation (b₀ c : ℝ) (f : ℝ → ℝ) : Prop :=
  ∀ t : ℝ, 0 < t →
    ∫ s in (0 : ℝ)..t,
      (1 / Real.sqrt (t - s)) *
        normalDensity ((boundary b₀ c t - boundary b₀ c s) / Real.sqrt (t - s)) * f s =
      (1 / Real.sqrt t) * normalDensity (boundary b₀ c t / Real.sqrt t)

end RybinAI2026.P13
Source
https://rybindmitry.github.io/problems/13.html
Read-back

What the Lean code literally says, in plain math · gpt-5.6-sol

ElementaryExpr is a parameter-free inductive type whose elements are finite expression trees. It has a nullary variable expression; a rational-constant expression for every q∈Qq∈ℚq∈Q; a real-constant expression for every x∈Rx∈ℝx∈R; binary addition, subtraction, multiplication, and division expressions formed from any two expressions; and unary negation, exponential, logarithm, square-root, sine, cosine, and normal-density expressions formed from any one expression. There are no side conditions on any constructor and no equations identifying distinct constructor trees.

For every elementary expression EEE and every real input ttt, ElementaryExpr.eval assigns a real value, denoted ⟦E⟧(t)⟦E⟧(t)[[E]](t), recursively as follows: the variable evaluates to ttt; a rational constant qqq evaluates to its image in RℝR, independently of ttt; a real constant xxx evaluates to xxx, independently of ttt; addition, subtraction, multiplication, and division evaluate to ⟦A⟧(t)+⟦B⟧(t)⟦A⟧(t)+⟦B⟧(t)[[A]](t)+[[B]](t), ⟦A⟧(t)−⟦B⟧(t)⟦A⟧(t)-⟦B⟧(t)[[A]](t)−[[B]](t), ⟦A⟧(t)⟦B⟧(t)⟦A⟧(t)⟦B⟧(t)[[A]](t)[[B]](t), and ⟦A⟧(t)/⟦B⟧(t)⟦A⟧(t)/⟦B⟧(t)[[A]](t)/[[B]](t), respectively; negation evaluates to −⟦A⟧(t)-⟦A⟧(t)−[[A]](t); and the exponential, logarithm, square-root, sine, and cosine constructors evaluate to the corresponding real functions applied to ⟦A⟧(t)⟦A⟧(t)[[A]](t). The normal-density constructor evaluates to (2π)−1/2e−⟦A⟧(t)2/2(2π)^{-1/2}e^{-⟦A⟧(t)^2/2}(2π)−1/2e−[[A]](t)2/2. All operations are total: division by zero, including 0/00/00/0, evaluates to 000; the real logarithm evaluates to 000 at 000 and to the logarithm of the absolute value at a nonzero negative input; and the real square root evaluates to 000 on every nonpositive input. Thus every syntactically valid expression has a real value at every real input, with no domain-error condition.

For every b0,c,t∈Rb₀,c,t∈ℝb0​,c,t∈R, boundary is the real number b0e−ctb₀e^{-ct}b0​e−ct. No signs or nonzeroness conditions are imposed: b0=0b₀=0b0​=0 gives the identically zero function of ttt, c=0c=0c=0 gives the constant value b0b₀b0​, negative ccc is allowed and produces exponential growth in magnitude as ttt increases when b0≠0b₀≠0b0​=0, negative b0b₀b0​ is allowed, and negative, zero, and positive values of ttt are all within the definition. The declaration defines this formula but does not itself assert any decay property.

For every x∈Rx∈ℝx∈R, normalDensity is the real number (2π)−1/2e−x2/2(2π)^{-1/2}e^{-x^2/2}(2π)−1/2e−x2/2. It is defined for every real xxx; the declaration introduces only this function and does not itself assert that it integrates to one or attach a probability measure to it.

Given arbitrary b0,c∈Rb₀,c∈ℝb0​,c∈R and an arbitrary total function f:R→Rf:ℝ→ℝf:R→R, SolvesAbelEquation(b₀,c,f) means that for every real ttt, if t>0t>0t>0, then, writing B(u)=b0e−cuB(u)=b₀e^{-cu}B(u)=b0​e−cu and φ(x)=(2π)−1/2e−x2/2φ(x)=(2π)^{-1/2}e^{-x^2/2}φ(x)=(2π)−1/2e−x2/2, the equality ∫(0,t][1/√(t−s)] φ((B(t)−B(s))/√(t−s)) f(s) ds=[1/√t] φ(B(t)/√t)∫_{(0,t]} [1/√(t-s)]\,φ((B(t)-B(s))/√(t-s))\,f(s)\,ds=[1/√t]\,φ(B(t)/√t)∫(0,t]​[1/√(t−s)]φ((B(t)−B(s))/√(t−s))f(s)ds=[1/√t]φ(B(t)/√t) holds, where the integral is the real Lebesgue interval integral with its positive orientation from 000 to ttt. Equivalently, the boundary terms appearing in the equation are exactly B(t)=b0e−ctB(t)=b₀e^{-ct}B(t)=b0​e−ct and B(s)=b0e−csB(s)=b₀e^{-cs}B(s)=b0​e−cs. For t≤0t≤0t≤0, the implication is automatically true and imposes no condition; no equation at t=0t=0t=0 is required. For t>0t>0t>0, √t>0√t>0√t>0, while at the integration endpoint s=ts=ts=t one has √(t−s)=0√(t-s)=0√(t−s)=0; total real division makes both 1/√(t−s)1/√(t-s)1/√(t−s) and (B(t)−B(s))/√(t−s)=0/0(B(t)-B(s))/√(t-s)=0/0(B(t)−B(s))/√(t−s)=0/0 equal to 000 there, so the pointwise integrand at that endpoint is 000, and in any case a single endpoint has Lebesgue measure zero. No continuity, measurability, integrability, sign, normalization, or support condition is assumed directly of fff. Under the total convention used for the integral, a non-integrable weighted integrand has integral 000; since the right-hand side is strictly positive for every t>0t>0t>0, any fff satisfying the predicate must nevertheless make the displayed weighted integrand integrable on (0,t](0,t](0,t] for every positive ttt. The predicate is insensitive to fff on (−∞,0](-\infty,0](−∞,0] and to changes of fff on Lebesgue-null subsets of (0,∞)(0,\infty)(0,∞). It includes the degenerate parameter cases b0=0b₀=0b0​=0 and c=0c=0c=0, permits negative b0b₀b0​ and negative ccc, and asserts neither the existence nor the uniqueness of such an fff.

Human review
  • Endorsed by Shuze Chen · Sep 1, 2026

  • Endorsed by wenxinzhang · Sep 1, 2026

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

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