Potential energy and its displacement convexity #
The potential energy of a measure μ in a potential V : X → ℝ is ∫ V dμ. It is one of the
three basic energies on the Wasserstein space (with the interaction and internal energies), and the
drift term of the Fokker–Planck equation as a Wasserstein gradient flow.
Since V need not be integrable, the energy takes values in EReal, with the convention
TauCeti.potentialEnergy: it is ⊤ when the positive part of V has infinite integral, and
otherwise the integral of the positive part minus that of the negative part, which may be ⊥. It
agrees with the Bochner integral for integrable V (TauCeti.potentialEnergy_of_integrable), and
a lower bound by an integrable function rules out the value ⊥
(TauCeti.potentialEnergy_ne_bot_of_le). For a lower semicontinuous potential bounded below, the
potential energy is a lower semicontinuous function of a probability measure for narrow
convergence (TauCeti.lowerSemicontinuous_potentialEnergy), the property consumed by the direct
method for the Jordan–Kinderlehrer–Otto step.
On a real normed space E, convexity of V passes to the potential energy along every
interpolation of measures by a plan. If V is m-strongly convex in Mathlib's sense
(StrongConvexOn univ m V, where m may be negative) and π is a measure on E × E, then for
t ∈ [0, 1], with μ_t the law of (1 - t) • x + t • y under π,
∫ V dμ_t ≤ (1 - t) ∫ V dπ.fst + t ∫ V dπ.snd - (m / 2) t (1 - t) ∫ ‖x - y‖² dπ
(StrongConvexOn.potentialEnergy_map_le). This is the pointwise convexity inequality integrated
against π. For an optimal plan for the quadratic cost, the last integral is the squared
2-Wasserstein distance of the two marginals and μ_t is a Wasserstein geodesic, so the potential
energy is m-geodesically convex on the space P₂(E) of laws with finite second moment, as soon as
V grows at most quadratically from below (StrongConvexOn.geodesicallyConvex_potentialEnergy).
The geodesic used is the interpolation of an optimal plan
(TauCeti.WassersteinSpace.exists_isGeodesicSegment_map_smul_add_smul), so this is the weak form of
displacement convexity: two laws are joined by some geodesic along which the inequality holds. The
plan-level inequality does not need the plan to be optimal, so it also applies to interpolations
along non-optimal plans: applied to generalized geodesics, it makes the potential energy m-convex
along every generalized-geodesic plan based at every law of P₂(E)
(StrongConvexOn.convexAlongGeneralizedGeodesics_potentialEnergy). Thus it can be added to an
energy convex along some generalized-geodesic plan while retaining the convexity under which the
Jordan–Kinderlehrer–Otto step is unique.
Main definitions #
TauCeti.potentialEnergy V μ: the potential energy∫ V dμ, as an extended real.
Main results #
TauCeti.potentialEnergy_of_integrable: for integrableV, the potential energy is the Bochner integral ofV.TauCeti.integrable_iff_potentialEnergy_ne_top_and_ne_bot: an almost everywhere strongly measurable potential is integrable exactly when its potential energy is finite.TauCeti.potentialEnergy_mono: the potential energy is monotone in the potential.TauCeti.potentialEnergy_add_of_integrable: adding an integrable function adds its integral.TauCeti.potentialEnergy_le_mul_add_mul: a potential bounded by a convex combination of two potentials has at most the same convex combination of their potential energies.TauCeti.potentialEnergy_dirac: the potential energy of a Dirac mass atxisV x.TauCeti.potentialEnergy_ne_bot_of_hasFiniteMoment: a potential with at most quadratic negative part has potential energy≠ ⊥against every finite measure with finite second moment.TauCeti.integrable_comp_of_norm_gradient_le: a differentiable potential whose gradient grows at most linearly is integrable against the law of every square-integrable random vector.TauCeti.hasDerivAt_integral_comp_add_smul: the first variation∫ ⟪∇V, ξ⟫ dρof the potential energy of such a potential along the perturbationx ↦ x + h • ξ xof a law of finite second moment.TauCeti.potentialEnergy_eq_lintegral_add_sub: for an almost everywhere measurable potential almost everywhere bounded below by-c, the potential energy of a probability measure is∫⁻ (V + c) - c.TauCeti.lowerSemicontinuous_potentialEnergy: the potential energy of a lower semicontinuous potential bounded below is narrowly lower semicontinuous on probability measures.StrongConvexOn.potentialEnergy_map_le: the convexity inequality of the potential energy of anm-strongly convex potential along the interpolation of a plan.StrongConvexOn.geodesicallyConvex_potentialEnergy: the potential energy of anm-strongly convex potential with at most quadratic negative part ism-geodesically convex on the2-Wasserstein space of a separable Banach space.StrongConvexOn.convexAlongGeneralizedGeodesics_potentialEnergy: the same potential energy ism-convex along every generalized-geodesic plan based at every law of finite second moment.
References #
- L. Ambrosio, N. Gigli, G. Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, 2nd ed., Birkhäuser 2008, §9.3, Proposition 9.3.2.
- F. Santambrogio, Optimal Transport for Applied Mathematicians, Birkhäuser 2015, §7.3.
The potential energy ∫ V dμ of a measure μ in a potential V : X → ℝ, as an extended
real. It is ⊤ when the positive part of V has infinite integral against μ; otherwise it is the
integral of the positive part minus the integral of the negative part, which is ⊥ when only the
latter is infinite.
Instances For
When the positive part of the potential has finite integral, the potential energy is the integral of the positive part minus that of the negative part.
The potential energy is ⊤ exactly when the positive part of the potential has infinite
integral.
The potential energy is ⊥ exactly when the positive part of the potential has finite
integral and its negative part has infinite integral.
For an integrable potential, the potential energy is the Bochner integral of the potential.
For an almost everywhere nonnegative potential, the potential energy is the lower Lebesgue integral of the potential.
An almost everywhere strongly measurable potential is integrable exactly when its potential energy is finite.
The potential energy is monotone in the potential.
The potential energy depends on the potential only up to μ-almost everywhere equality.
A potential bounded below by an integrable function has potential energy ≠ ⊥.
Adding an integrable function to a potential adds its integral to the potential energy. The
potential itself need not be integrable: if its energy is ⊤ or ⊥, then so is the energy of the
sum.
Two potentials whose positive parts, and whose negative parts, have the same integrals have the same potential energy.
The potential energy of a pointwise convex combination. If V ≤ (1 - t) V₀ + t V₁ almost
everywhere for some t ∈ [0, 1], then the potential energy of V is at most the same convex
combination of the potential energies of V₀ and V₁, provided neither of them is ⊥.
The potential energy of the zero measure is 0.
The potential energy of a Dirac mass at x is V x.
The potential energy of a pushforward measure is the potential energy of the composed potential.
A potential whose negative part grows at most quadratically has potential energy ≠ ⊥
against every finite measure with finite second moment.
A differentiable potential whose gradient grows at most linearly, ‖∇V x‖ ≤ C (1 + ‖x‖), is
integrable against the law of every square-integrable random vector: for a finite measure ρ and
T ∈ L²(ρ; E), the function V ∘ T is integrable.
The first variation of the potential energy. Let V be a differentiable potential whose
gradient grows at most linearly, ‖∇V x‖ ≤ C (1 + ‖x‖), and let ρ be a finite measure with
finite second moment. For every vector field ξ ∈ L²(ρ; E), the potential energy
h ↦ ∫ V (x + h • ξ x) dρ of the perturbation of ρ along ξ has derivative
∫ ⟪∇V x, ξ x⟫ dρ at h = 0.
For a potential almost everywhere measurable and bounded below by -c, the potential energy
of a probability measure is the integral of the almost everywhere nonnegative potential V + c,
minus c.
The potential energy is narrowly lower semicontinuous. For a lower semicontinuous
potential V bounded below on a pseudometric space, μ ↦ ∫ V dμ is lower semicontinuous on
probability measures for the topology of narrow convergence.
Convexity of the potential energy along a plan. If V is m-strongly convex, then along
the interpolation t ↦ μ_t, with μ_t the law of (1 - t) • x + t • y under a measure π on
E × E, the potential energy satisfies, for t ∈ [0, 1],
∫ V dμ_t ≤ (1 - t) ∫ V dπ.fst + t ∫ V dπ.snd - (m / 2) t (1 - t) ∫ ‖x - y‖² dπ.
The potential energies of the two marginals must not be ⊥, and ‖x - y‖² must be integrable.
Displacement convexity of the potential energy. On a separable Banach space E, the
potential energy of an m-strongly convex measurable potential V whose negative part grows at
most quadratically is m-geodesically convex on the 2-Wasserstein space P₂(E): two laws of
finite potential energy are joined by a Wasserstein geodesic, the interpolation of an optimal plan,
along which ∫ V dμ_t ≤ (1 - t) ∫ V dμ₀ + t ∫ V dμ₁ - (m / 2) t (1 - t) W₂(μ₀, μ₁)².
Convexity of the potential energy along every generalized-geodesic plan. On a separable
normed space E, the potential energy of an m-strongly convex measurable potential V whose
negative part grows at most quadratically is m-convex along every quadratic
generalized-geodesic plan based at every μ ∈ P₂(E). For its interpolation ν_t,
∫ V dν_t ≤ (1 - t) ∫ V dν₀ + t ∫ V dν₁ - (m / 2) t (1 - t) ∫ ‖y₀ - y₁‖² dγ.