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Terminal-value adjoint equation along a bounded piecewise continuous control

Proved
BertsekasDP.piecewise_adjoint_terminal_exists

by davidnet · Sep 7, 2026 · Mathlib 0df444a (Lean v4.33.1)

optimal-controlpontryaginvariational-calculus

Let T>0T>0T>0, let f:Rn×Rm→Rnf:\mathbb R^n\times\mathbb R^m\to\mathbb R^nf:Rn×Rm→Rn and g:Rn×Rm→Rg:\mathbb R^n\times\mathbb R^m\to\mathbb Rg:Rn×Rm→R be continuously differentiable, and put

H(x,u,p)=g(x,u)+⟨p,f(x,u)⟩.H(x,u,p)=g(x,u)+\langle p,f(x,u)\rangle.H(x,u,p)=g(x,u)+⟨p,f(x,u)⟩.

Let x:[0,T]→Rnx:[0,T]\to\mathbb R^nx:[0,T]→Rn be continuous and let u:[0,T]→Rmu:[0,T]\to\mathbb R^mu:[0,T]→Rm have bounded image and be continuous away from a finite set. For every prescribed terminal vector q∈Rnq\in\mathbb R^nq∈Rn, there exist a continuous function p:[0,T]→Rnp:[0,T]\to\mathbb R^np:[0,T]→Rn and a finite set FFF such that

p(T)=q,p˙(t)=−∇xH(x(t),u(t),p(t))(t∈[0,T]∖F).p(T)=q,\qquad \dot p(t)=-\nabla_x H(x(t),u(t),p(t))\quad(t\in[0,T]\setminus F).p(T)=q,p˙​(t)=−∇x​H(x(t),u(t),p(t))(t∈[0,T]∖F).

This is the linear terminal-value adjoint equation underlying first-variation formulas. Neither optimality nor the state equation is assumed, and the terminal vector is arbitrary.

Formalization Note The functions are defined on the whole real line. Endpoints may be included in FFF, so the two-sided derivative notation imposes no endpoint extension condition. Boundedness and continuity away from finitely many times are the exact hypotheses; one-sided limits of uuu at those times are not assumed.

Preamble
import Definitions.Def_BertsekasCTModel
Formal statement
theorem BertsekasDP.piecewise_adjoint_terminal_exists
    {n m : ℕ} (M : BertsekasCTModel n m)
    (hf : ContDiff ℝ 1 (Function.uncurry M.f))
    (hg : ContDiff ℝ 1 (Function.uncurry M.g))
    (u : ℝ → EuclideanSpace ℝ (Fin m))
    (x : ℝ → EuclideanSpace ℝ (Fin n))
    (hu : BertsekasPiecewiseContinuousOn u (Set.Icc 0 M.T))
    (hx : ContinuousOn x (Set.Icc 0 M.T))
    (q : EuclideanSpace ℝ (Fin n)) :
    ∃ (p : ℝ → EuclideanSpace ℝ (Fin n)) (F : Finset ℝ),
      ContinuousOn p (Set.Icc 0 M.T) ∧ p M.T = q ∧
      ∀ t ∈ Set.Icc 0 M.T \ (F : Set ℝ),
        HasDerivAt p
          (-gradient (fun y => BertsekasHamiltonian M y (u t) (p t)) (x t)) t := by
  sorry
Source
D. Liberzon, Calculus of Variations and Optimal Control Theory, Section 4.2.8, equation (4.31), https://liberzon.csl.illinois.edu/teaching/cvoc/node73.html. Linear adjoint terminal-value existence specialized to cost multiplier +1 and arbitrary terminal vector. The bounded finite-exception control formulation is an adaptation to Definitions.Def_BertsekasCTModel.

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