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Juillet's excursion coupling as a completed-graph occupation measure

Definition
JuilletExcursionCoupling

by ykanoria · Aug 6, 2026 · Mathlib c5ea003 (Lean v4.30.0)

measure-theoryoptimal-transportprobability

This definition formalizes Juillet's excursion coupling for mutually singular probability measures on the real line as the literal occupation measure of the completed-graph pairing construction.

For Fσ=Fμ−FνF_\sigma=F_\mu-F_\nuFσ​=Fμ​−Fν​, let

N(h)=#((R×{h})∩Graph⁡∗,+(Fσ))+#((R×{h})∩Graph⁡∗,−(Fσ)).N(h)= \#\bigl((\mathbb R\times\{h\})\cap\operatorname{Graph}^{*,+}(F_\sigma)\bigr) + \#\bigl((\mathbb R\times\{h\})\cap\operatorname{Graph}^{*,-}(F_\sigma)\bigr).N(h)=#((R×{h})∩Graph∗,+(Fσ​))+#((R×{h})∩Graph∗,−(Fσ​)).

The level law θ/2\theta/2θ/2 has density N(h)/2N(h)/2N(h)/2 with respect to Lebesgue measure. Measurable branch data enumerate every increasing and decreasing crossing exactly once at almost every nonzero regular level and pair each increasing crossing with the adjacent decreasing crossing prescribed by the sign of the level. If si(h)s_i(h)si​(h) and ti(h)t_i(h)ti​(h) are these paired branches on their measurable active level sets AiA_iAi​, the resulting occupation measure is

γEC=∑i∈N(h↦(si(h),ti(h)))#(L1 ⁣↾Ai).\gamma_{\mathrm{EC}} = \sum_{i\in\mathbb N} \bigl(h\mapsto(s_i(h),t_i(h))\bigr)_\# \bigl(\mathcal L^1\!\restriction A_i\bigr).γEC​=i∈N∑​(h↦(si​(h),ti​(h)))#​(L1↾Ai​).

A measure is a Juillet excursion coupling precisely when it is a probability measure with marginals μ,ν\mu,\nuμ,ν and is exactly this occupation measure. Thus the definition records the completed-graph construction itself, rather than merely requiring concentration on the set of admissible paired routes.

Formalization Note Countably many measurable branches are used only to represent the finite collection of pairs at almost every level. The exhaustive-uniqueness fields make the resulting sum independent of unused branch values and of null exceptional levels.

Definition code
import Definitions.Def_excursion_coupling
import Mathlib.MeasureTheory.Measure.WithDensity

namespace ExcursionCoupling

open MeasureTheory Set Function

/-- The total number of increasing and decreasing completed-graph crossings
at a level, viewed as an extended nonnegative real number. -/
noncomputable def crossingMultiplicity (F : Real -> Real) (h : Real) : ENNReal :=
  ({x | (x, h) ∈ posPoints F}.encard.toENNReal) +
    ({x | (x, h) ∈ negPoints F}.encard.toENNReal)

/-- Juillet's law `theta / 2` for the randomly sampled completed-graph level. -/
noncomputable def excursionLevelLaw
    (mu nu : Measure Real) : Measure Real :=
  (2 : ENNReal)⁻¹ •
    (volume.withDensity (crossingMultiplicity (Fsigma mu nu)))

/-- The increasing crossing and its adjacent decreasing crossing at one
nonzero regular level, with the orientation prescribed by the sign. -/
def pairedAtLevel
    (F : Real -> Real) (h : Real) : Set (Real × Real) :=
  {r |
    h ≠ 0 ∧ regularLevel F h ∧
      (r.1, h) ∈ posPoints F ∧ (r.2, h) ∈ negPoints F ∧
        ((0 < h ∧ r.1 < r.2 ∧
            ∀ z ∈ Ioo r.1 r.2, z ∉ levelSet F h) ∨
          (h < 0 ∧ r.2 < r.1 ∧
            ∀ z ∈ Ioo r.2 r.1, z ∉ levelSet F h))}

/-- Measurable branch data for Juillet's completed-graph construction.
At almost every nonzero level, the active indices enumerate every increasing
and every decreasing crossing exactly once and pair adjacent crossings. -/
structure JuilletPairingData (mu nu : Measure Real) where
  source : Nat -> Real -> Real
  target : Nat -> Real -> Real
  active : Nat -> Set Real
  source_measurable : ∀ i, Measurable (source i)
  target_measurable : ∀ i, Measurable (target i)
  active_measurable : ∀ i, MeasurableSet (active i)
  active_nonzero : ∀ i, active i ⊆ {0}ᶜ
  regular_levels :
    ∀ᵐ h ∂(volume : Measure Real),
      h ≠ 0 -> regularLevel (Fsigma mu nu) h
  paired_ae :
    ∀ᵐ h ∂(volume : Measure Real),
      ∀ i, h ∈ active i ->
        (source i h, target i h) ∈ pairedAtLevel (Fsigma mu nu) h
  sources_exhaustive_unique_ae :
    ∀ᵐ h ∂(volume : Measure Real),
      ∀ x, h ≠ 0 -> regularLevel (Fsigma mu nu) h ->
        (x, h) ∈ posPoints (Fsigma mu nu) ->
          ∃! i : Nat, h ∈ active i ∧ source i h = x
  targets_exhaustive_unique_ae :
    ∀ᵐ h ∂(volume : Measure Real),
      ∀ y, h ≠ 0 -> regularLevel (Fsigma mu nu) h ->
        (y, h) ∈ negPoints (Fsigma mu nu) ->
          ∃! i : Nat, h ∈ active i ∧ target i h = y
  finite_active_ae :
    ∀ᵐ h ∂(volume : Measure Real), {i | h ∈ active i}.Finite

/-- The joint law obtained by integrating one atom at every adjacent
increasing/decreasing crossing pair over the completed-graph levels. This is
equivalent to sampling `H` with law `theta / 2` and then choosing uniformly
among the pairs at level `H`. -/
noncomputable def excursionCouplingMeasure
    {mu nu : Measure Real} (data : JuilletPairingData mu nu) :
    Measure (Real × Real) :=
  Measure.sum fun i =>
    Measure.map (fun h => (data.source i h, data.target i h))
      ((volume : Measure Real).restrict (data.active i))

/-- A measure is Juillet's excursion coupling when it has the prescribed
marginals and is exactly the completed-graph occupation measure. -/
def IsJuilletExcursionCoupling
    (mu nu : Measure Real) (gamma : Measure (Real × Real)) : Prop :=
  IsProbabilityMeasure gamma ∧
    gamma.map Prod.fst = mu ∧
      gamma.map Prod.snd = nu ∧
        ∃ data : JuilletPairingData mu nu,
          gamma = excursionCouplingMeasure data

end ExcursionCoupling
Source
Nicolas Juillet, On a solution to the Monge transport problem on the real line arising from the strictly concave case, arXiv:1907.00681v1 (2019), Section 1, pp. 4-5, Theorem 1.1 and Remark 1.2; Section 3.1, eq. (14), p. 16
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What the Lean code literally says, in plain math · openai-codex

crossingMultiplicity

For every function F:R→RF:\mathbb R\to\mathbb RF:R→R and level h∈Rh\in\mathbb Rh∈R, let

GF={(x,t):min⁡(leftLim⁡F(x),F(x))≤t≤max⁡(leftLim⁡F(x),F(x))}.G_F=\{(x,t):\min(\operatorname{leftLim}F(x),F(x))\le t\le\max(\operatorname{leftLim}F(x),F(x))\}.GF​={(x,t):min(leftLimF(x),F(x))≤t≤max(leftLimF(x),F(x))}.

A point (x,t)∈GF(x,t)\in G_F(x,t)∈GF​ is positive when some ε>0\varepsilon>0ε>0 satisfies, for every (y,s)∈GF(y,s)\in G_F(y,s)∈GF​,

∣y−x∣<ε ∧ y≠x⟹0<(s−t)(y−x),|y-x|<\varepsilon\ \land\ y\ne x\quad\Longrightarrow\quad 0<(s-t)(y-x),∣y−x∣<ε ∧ y=x⟹0<(s−t)(y−x),

and is negative when the same condition instead implies (s−t)(y−x)<0(s-t)(y-x)<0(s−t)(y−x)<0. Then crossingMultiplicity F h is the extended-nonnegative-real sum of the cardinalities of the sets of xxx for which (x,h)(x,h)(x,h) is respectively positive and negative. A finite set contributes its ordinary cardinality and an infinite set contributes +∞+\infty+∞. No regularity or existence of an ordinary left limit is assumed: leftLim is used as a total operator even when FFF has no ordinary left limit.

excursionLevelLaw

For arbitrary measures μ,ν\mu,\nuμ,ν on R\mathbb RR, define

Fμ,ν(x)=(μ((−∞,x]))R−(ν((−∞,x]))R,F_{\mu,\nu}(x)=\bigl(\mu((-\infty,x])\bigr)_{\mathbb R} -\bigl(\nu((-\infty,x])\bigr)_{\mathbb R},Fμ,ν​(x)=(μ((−∞,x]))R​−(ν((−∞,x]))R​,

where (⋅)R(\cdot)_{\mathbb R}(⋅)R​ is extended-nonnegative-real conversion to a real number; in particular, +∞+\infty+∞ converts to 000. At each hhh, form the sum θ(h)∈[0,∞]\theta(h)\in[0,\infty]θ(h)∈[0,∞] of the extended cardinalities of the positive and negative completed-graph points at height hhh, where the completed graph and its positive and negative points are exactly those described under crossingMultiplicity, with F=Fμ,νF=F_{\mu,\nu}F=Fμ,ν​. Then excursionLevelLaw mu nu is

12⋅(λwithDensityθ),\frac12\cdot\bigl(\lambda\mathbin{\mathrm{withDensity}}\theta\bigr),21​⋅(λwithDensityθ),

where λ\lambdaλ is Lebesgue measure. The declaration imposes no finiteness, probability, mutual-singularity, or measurability hypothesis on μ,ν\mu,\nuμ,ν or on θ\thetaθ.

pairedAtLevel

For F:R→RF:\mathbb R\to\mathbb RF:R→R and h∈Rh\in\mathbb Rh∈R, use GFG_FGF​ and its positive and negative points as expanded under crossingMultiplicity, and set LF(h)={x:(x,h)∈GF}L_F(h)=\{x:(x,h)\in G_F\}LF​(h)={x:(x,h)∈GF​}. Call hhh regular precisely when there are n∈Nn\in\mathbb Nn∈N and a strictly increasing family xi∈Rx_i\in\mathbb Rxi​∈R, indexed by i=0,…,2n−1i=0,\ldots,2n-1i=0,…,2n−1, such that LF(h)={xi:0≤i<2n}L_F(h)=\{x_i:0\le i<2n\}LF​(h)={xi​:0≤i<2n}, every (xi,h)(x_i,h)(xi​,h) is positive or negative, and, for every iii,

((xi,h) is positive)⟺(h>0⟺i is even).\bigl((x_i,h)\text{ is positive}\bigr) \quad\Longleftrightarrow\quad \bigl(h>0\Longleftrightarrow i\text{ is even}\bigr).((xi​,h) is positive)⟺(h>0⟺i is even).

Then pairedAtLevel F h consists exactly of pairs (a,b)(a,b)(a,b) such that h≠0h\ne0h=0, hhh is regular, (a,h)(a,h)(a,h) is positive, (b,h)(b,h)(b,h) is negative, and either

h>0,a<b,LF(h)∩(a,b)=∅,h>0,\quad a<b,\quad L_F(h)\cap(a,b)=\varnothing,h>0,a<b,LF​(h)∩(a,b)=∅,

or

h<0,b<a,LF(h)∩(b,a)=∅.h<0,\quad b<a,\quad L_F(h)\cap(b,a)=\varnothing.h<0,b<a,LF​(h)∩(b,a)=∅.

The natural number nnn may be 000, in which case regularity requires LF(h)=∅L_F(h)=\varnothingLF​(h)=∅ and all indexed conditions are vacuous; such a level cannot nevertheless produce a pair because a pair also requires positive and negative points.

JuilletPairingData

For arbitrary measures μ,ν\mu,\nuμ,ν on R\mathbb RR, a JuilletPairingData mu nu value is a package of functions si,ti:R→Rs_i,t_i:\mathbb R\to\mathbb Rsi​,ti​:R→R and sets Ai⊆RA_i\subseteq\mathbb RAi​⊆R, indexed by every i∈Ni\in\mathbb Ni∈N, satisfying all of the following. Each sis_isi​ and tit_iti​ is measurable, each AiA_iAi​ is measurable, and 0∉Ai0\notin A_i0∈/Ai​. Put F(x)=(μ((−∞,x]))R−(ν((−∞,x]))RF(x)=(\mu((-\infty,x]))_{\mathbb R}-(\nu((-\infty,x]))_{\mathbb R}F(x)=(μ((−∞,x]))R​−(ν((−∞,x]))R​, with +∞+\infty+∞ converting to 000, and define its completed graph, positive points, negative points, regular levels, and paired points by the fully expanded conditions above. For Lebesgue-almost every hhh, h≠0h\ne0h=0 implies that hhh is regular. For Lebesgue-almost every hhh, simultaneously for every iii, membership h∈Aih\in A_ih∈Ai​ implies that (si(h),ti(h))(s_i(h),t_i(h))(si​(h),ti​(h)) is paired at hhh, including all the nonzero, regularity, sign, ordering, and no-intermediate-level-point conditions in pairedAtLevel. For Lebesgue-almost every hhh, every positive completed-graph point (x,h)(x,h)(x,h) at a nonzero regular level has exactly one index iii satisfying h∈Aih\in A_ih∈Ai​ and si(h)=xs_i(h)=xsi​(h)=x. Likewise, for Lebesgue-almost every hhh, every negative point (y,h)(y,h)(y,h) at a nonzero regular level has exactly one index iii satisfying h∈Aih\in A_ih∈Ai​ and ti(h)=yt_i(h)=yti​(h)=y. Finally, for Lebesgue-almost every hhh, the set {i:h∈Ai}\{i:h\in A_i\}{i:h∈Ai​} is finite. These almost-everywhere fields may have different exceptional null sets. At h=0h=0h=0, the regular-level implication is vacuous and every AiA_iAi​ is nevertheless required to exclude 000; outside the asserted full-measure sets, the pairing, exhaustion, uniqueness, and finiteness conditions impose nothing.

excursionCouplingMeasure

For arbitrary implicit measures μ,ν\mu,\nuμ,ν and any package (si,ti,Ai)i∈N(s_i,t_i,A_i)_{i\in\mathbb N}(si​,ti​,Ai​)i∈N​ satisfying every measurability, zero-exclusion, almost-everywhere regularity, expanded pairing, unique positive-source exhaustion, unique negative-target exhaustion, and finite-active-index condition stated in JuilletPairingData, excursionCouplingMeasure data is the measure on R2\mathbb R^2R2

∑i∈N(h↦(si(h),ti(h)))#(λ∣Ai).\sum_{i\in\mathbb N}(h\mapsto(s_i(h),t_i(h)))_\# \bigl(\lambda|_{A_i}\bigr).i∈N∑​(h↦(si​(h),ti​(h)))#​(λ∣Ai​​).

Equivalently, for every measurable B⊆R2B\subseteq\mathbb R^2B⊆R2, its value is

∑i∈Nλ({h∈Ai:(si(h),ti(h))∈B}).\sum_{i\in\mathbb N} \lambda\bigl(\{h\in A_i:(s_i(h),t_i(h))\in B\}\bigr).i∈N∑​λ({h∈Ai​:(si​(h),ti​(h))∈B}).

Every active index contributes one full restricted-Lebesgue pushforward; the definition contains no normalization or division by the number of active indices. Null-set exceptional behavior does not affect these restricted measures.

IsJuilletExcursionCoupling

For arbitrary measures μ,ν\mu,\nuμ,ν on R\mathbb RR and an arbitrary measure γ\gammaγ on R2\mathbb R^2R2, IsJuilletExcursionCoupling mu nu gamma asserts the conjunction of four requirements: γ(R2)=1\gamma(\mathbb R^2)=1γ(R2)=1; the pushforward of γ\gammaγ by (x,y)↦x(x,y)\mapsto x(x,y)↦x equals μ\muμ; the pushforward by (x,y)↦y(x,y)\mapsto y(x,y)↦y equals ν\nuν; and there exist measurable functions si,ti:R→Rs_i,t_i:\mathbb R\to\mathbb Rsi​,ti​:R→R and measurable sets Ai⊆RA_i\subseteq\mathbb RAi​⊆R, indexed by i∈Ni\in\mathbb Ni∈N, satisfying all of the expanded JuilletPairingData conditions above for F(x)=(μ((−∞,x]))R−(ν((−∞,x]))RF(x)=(\mu((-\infty,x]))_{\mathbb R}-(\nu((-\infty,x]))_{\mathbb R}F(x)=(μ((−∞,x]))R​−(ν((−∞,x]))R​, such that

γ=∑i∈N(h↦(si(h),ti(h)))#(λ∣Ai).\gamma= \sum_{i\in\mathbb N}(h\mapsto(s_i(h),t_i(h)))_\# \bigl(\lambda|_{A_i}\bigr).γ=i∈N∑​(h↦(si​(h),ti​(h)))#​(λ∣Ai​​).

Thus the existential data must exclude 000 from every AiA_iAi​, satisfy regularity almost everywhere away from 000, pair every active source and target almost everywhere by the fully expanded adjacent-crossing condition, uniquely enumerate all positive and negative crossings at almost every nonzero regular level, and have only finitely many active indices almost everywhere. No assumptions on μ\muμ or ν\nuν are premises; if the conjunction holds, their equality to the marginals of the probability measure γ\gammaγ is part of what is asserted.

Human review
  • Endorsed by Community (Bot) · Aug 6, 2026

  • Endorsed by ykanoria · Aug 6, 2026

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

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