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LQR minimizers satisfy a feasible-set variational inequality
Statement
Assume the Axioms of Countable Choice and Dependent Choice.
For the LQR data of Finite-horizon bounded-control linear-quadratic ODE problem, let be nonempty and convex and let . Put , with the adjoint from Continuous adjoint equation for the linear-quadratic ODE. If minimizes on , then Conversely, if this variational inequality holds at , then is the unique minimizer on .
If , the variational inequality is equivalent (under Dependent Choice, hence Countable Choice) to the existence of one null set such that for every and every . The pointwise condition is not asserted for additional state or terminal constraints.
Facts & Assumptions
Given: The LQR data, a nonempty convex feasible set , a control , its continuous adjoint, and the variational-inequality hypothesis when proving sufficiency or the reverse pointwise implication.
The objective has bounded first-order map , with remainder (The LQR adjoint identity gives the reduced gradient).
The state map is affine, and for every the quadratic expansion has the exact remainder , where (Finite-horizon bounded-control linear-quadratic ODE problem, The bounded measurable linear ODE has a unique affine state map).
Cauchy–Schwarz makes the integral pairing finite for factors (Cauchy-Schwarz inequality for ).
Rational open boxes form a countable basis of the product topology, and on that topology is the Euclidean metric topology ( is a countable dense subset of , and rational open boxes form a countable basis, For the product topology on copies of the usual topology of is the metric topology of on , and hence also of and , so as a product and as a metric space are one space).
Under Countable Choice, Lebesgue measurable sets form a sigma-algebra and countable unions of measurable null sets are null by countable subadditivity (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, Finite and countable subadditivity of measures).
The Lebesgue integral is linear on , and the nonnegative integral is monotone (The Lebesgue integral is linear on , Monotonicity and nonnegative homogeneity of the nonnegative integral).
Dependent Choice and Countable Choice are available for the countable dense subset of used in the pointwise equivalence (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, The Axiom of Countable Choice (), Dependent choice implies countable choice).
Proof
Suppose minimizes on and fix . Convexity gives for . Hence for . The first-order expansion [F1] with increment has quotient , so its limit is . This proves the displayed variational inequality.
Suppose the pointwise inequalities hold outside one null set and . For any , substitute outside that null set and the null set on which . The vector lies in because are essentially bounded, is continuous on the compact horizon, and ; [F3] makes integrable. Integrating proves the global variational inequality.
Assume the variational inequality at . For any , [F2] and , give . The linear term is nonnegative by the assumed inequality; hence , with strict inequality if . Thus is the unique minimizer.
Assume the global variational inequality and suppose no common null set makes all pointwise inequalities true. By [F4] and [A1], choose one point from each rational open box meeting ; the resulting countable set is dense. Define , where . These sets are measurable, and is measurable by [F5]. Continuity in and density show that is exactly the set where some violates the pointwise inequality, so the absence of a common null set means . By [F5], some has positive measure. Put on that set and elsewhere. This measurable control lies in . On , ; [F6] and monotonicity give , contradicting the global variational inequality. Therefore one null set suffices for every .
Remarks
For arbitrary active state or terminal constraints the valid first-order condition is the integral inequality over the feasible set. The multiplier in the unconstrained adjoint equation alone does not encode normal multipliers for those additional constraints.
Depends on
- Finite-horizon bounded-control linear-quadratic ODE problem
- The bounded measurable linear ODE has a unique affine state map
- The LQR adjoint identity gives the reduced gradient
- Cauchy-Schwarz inequality for $L^2$
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Dependent choice implies countable choice
- Continuous adjoint equation for the linear-quadratic ODE
- $\mathbb{Q}^n$ is a countable dense subset of $\mathbb{R}^n$, and rational open boxes form a countable basis
- For $n \ge 1$ the product topology on $n$ copies of the usual topology of $\mathbb{R}$ is the metric topology of $d_\infty$ on $\mathbb{R}^n$, and hence also of $d_1$ and $d_2$, so $\mathbb{R}^n$ as a product and $\mathbb{R}^n$ as a metric space are one space
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- Finite and countable subadditivity of measures
- The Lebesgue integral is linear on $L^1(\mu)$
- Monotonicity and nonnegative homogeneity of the nonnegative integral
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Sources
- J. Monnier, Optimal Control of ODEs: The Linear-Quadratic (LQ) Case, course notes, Chapter 2 §2.5.2 (standard reference, not scraped)
- W. W. Hager, Runge-Kutta methods in optimal control and the transformed adjoint system, Numerische Mathematik 87 (2000) (standard reference, not scraped)