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Carathéodory existence of admissible states for bounded measurable controls

Proved
VectorSpaceOpt.lipschitz_control_admissible_state_exists

by davidnet · Sep 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

caratheodoryexistencemeasurable-controlodeoptimal-control

Let t0<t1t_0<t_1t0​<t1​, let the dynamics F:Rn×Rm→RnF:\mathbb R^n\times\mathbb R^m\to\mathbb R^nF:Rn×Rm→Rn satisfy the uniform joint Lipschitz bound

∥F(x,u)−F(y,v)∥≤M(∥x−y∥+∥u−v∥)\|F(x,u)-F(y,v)\|\le M\bigl(\|x-y\|+\|u-v\|\bigr)∥F(x,u)−F(y,v)∥≤M(∥x−y∥+∥u−v∥)

for some M≥0M\ge 0M≥0, and let the running cost ℓ:Rn×Rm→R\ell:\mathbb R^n\times\mathbb R^m\to\mathbb Rℓ:Rn×Rm→R be jointly continuous. Let uuu be a measurable control on [t0,t1][t_0,t_1][t0​,t1​] that is essentially bounded and takes values in the constraint set Ω\OmegaΩ at almost every time. Then there is a state trajectory xxx such that (u,x)(u,x)(u,x) is an admissible pair: x(t0)=xinitx(t_0)=x_{\mathrm{init}}x(t0​)=xinit​, xxx is absolutely continuous on [t0,t1][t_0,t_1][t0​,t1​],

x˙(t)=F(x(t),u(t))for almost every t∈(t0,t1),\dot x(t)=F(x(t),u(t))\quad\text{for almost every } t\in(t_0,t_1),x˙(t)=F(x(t),u(t))for almost every t∈(t0​,t1​),

and t↦ℓ(x(t),u(t))t\mapsto \ell(x(t),u(t))t↦ℓ(x(t),u(t)) is integrable on [t0,t1][t_0,t_1][t0​,t1​].

This is the Carathéodory (generalized Picard) existence theorem for the control system with a fixed measurable control. The right-hand side f(t,x)=F(x,u(t))f(t,x)=F(x,u(t))f(t,x)=F(x,u(t)) is measurable in ttt, globally Lipschitz in xxx with the constant weight MMM, and integrably bounded on [t0,t1][t_0,t_1][t0​,t1​] because uuu is essentially bounded, so a unique absolutely continuous solution exists on the whole interval. The statement supplies the perturbed trajectories needed for needle variations of an admissible pair and, more generally, the state map u↦x(u)u\mapsto x(u)u↦x(u) on bounded measurable controls.

Formalization Note. Controls and states are functions on all real times and are constrained only on [t0,t1][t_0,t_1][t0​,t1​]; measurability, the essential bound, and the constraint u(t)∈Ωu(t)\in\Omegau(t)∈Ω are imposed with respect to Lebesgue measure restricted to [t0,t1][t_0,t_1][t0​,t1​]. Continuity of FFF is not assumed separately, since it follows from the Lipschitz bound. The cases n=0n=0n=0 and m=0m=0m=0 are allowed.

Preamble
import Definitions.Def_VectorSpaceOpt_optimal_control

open Set Filter MeasureTheory
open scoped RealInnerProductSpace Topology

open VectorSpaceOpt
Formal statement
theorem VectorSpaceOpt.lipschitz_control_admissible_state_exists
    {n m : ℕ} (t₀ t₁ : ℝ) (ht : t₀ < t₁)
    (F : OCState n → OCControl m → OCState n)
    (ell : OCState n → OCControl m → ℝ)
    (Omega : Set (OCControl m)) (xInit : OCState n)
    (hellCont : Continuous (Function.uncurry ell))
    (hLip : ∃ M : ℝ, 0 ≤ M ∧ ∀ x y u v,
      ‖F x u - F y v‖ ≤ M * (‖x - y‖ + ‖u - v‖))
    (u : ℝ → OCControl m)
    (huMeas : AEStronglyMeasurable u (volume.restrict (Icc t₀ t₁)))
    (huBound : ∃ C : ℝ, ∀ᵐ t ∂volume.restrict (Icc t₀ t₁), ‖u t‖ ≤ C)
    (huOmega : ∀ᵐ t ∂volume.restrict (Icc t₀ t₁), u t ∈ Omega) :
    ∃ x : ℝ → OCState n, IsAdmissibleControlPair t₀ t₁ F Omega xInit ell u x := by
  sorry
Source
Dalibor Pražák, Carathéodory theory of ODEs (fall 2024), §2, Theorem 8 (generalized Picard theorem), pp. 3–4, applied to f(t,x) = F(x,u(t)) with the constant Lipschitz weight m(t) = M; the integrability of t ↦ ℓ(x(t),u(t)) is §1, Lemma 3, p. 1, applied to g(t,x) = ℓ(x,u(t)). https://www.karlin.mff.cuni.cz/~prazak/vyuka/Odr2/Skripta/en_acODR-24.pdf . Control setting: D. G. Luenberger, Optimization by Vector Space Methods (Wiley, 1969), §9.6, pp. 262–263 (uniform Lipschitz condition on f, implicit state x(u)). https://sites.science.oregonstate.edu/~show/old/142_Luenberger.pdf

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