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The bounded measurable linear ODE has a unique affine state map

Statement

Let T>0, A∈L∞(0,T;Rn×n), B∈L∞(0,T;Rn×m), u∈L2(0,T;Rm), and x0∈Rn. Write ∥A∥∞ and ∥B∥∞ for the essential suprema of their Euclidean operator norms. There is a unique absolutely continuous x:[0,T]→Rn satisfying

x(t)=x0+∫0t(A(s)x(s)+B(s)u(s)) ds.

Under Countable Choice it satisfies x˙=Ax+Bu almost everywhere, and it always satisfies

∥x∥∞≤e∥A∥∞T(∥x0∥2+∥B∥∞T ∥u∥2).

For fixed A,B,x0, the map u↦xu is affine into C([0,T];Rn), and its zero-initial-state linear part is bounded from L2 to the supremum norm.

The almost-everywhere derivative assertion uses Countable Choice, as required by the cited L1 fundamental theorem. The integral-equation existence, uniqueness, bound, and affine-map claims do not require that axiom.

Facts & Assumptions

Given: T>0, essentially bounded matrix classes A,B, a control u∈L2, an initial state x0, and the standard Lebesgue integral.

[F1]

The scalar Lebesgue integral is linear and satisfies ∣∫h∣≤∫∣h∣ for h∈L1; it is monotone on nonnegative integrable functions. Euclidean Cauchy--Schwarz gives ∣qTh∣≤∥q∥2∥h∥2 (The Lebesgue integral is linear on L1(μ), The modulus of an integral is bounded by the integral of the modulus, Monotonicity and nonnegative homogeneity of the nonnegative integral, Cauchy-Schwarz ∣⟨x,y⟩∣≤∥x∥2∥y∥2 with its equality case, the triangle inequality for ∥⋅∥2, the parallelogram law and polarisation).

[F2]

The indefinite integral of an L1 function is absolutely continuous; under Countable Choice its derivative equals the integrand almost everywhere (The indefinite integral of an L1 function is absolutely continuous, The indefinite integral of an L1 function is differentiable almost everywhere).

[F3]

C([a,b];R) is complete in the supremum metric; the finite product C([a,b];Rn) is therefore complete componentwise (C(K,R) is complete in the supremum metric for every nonempty compact metric space K).

[F4]

If v(t)≤c+M∫0tv(s)ds for continuous v≥0 and constants c,M≥0, then v(t)≤ceMt (Gronwall's integral inequality with variable and constant coefficients).

[F5]

∥u∥L1(0,T)≤T ∥u∥L2(0,T) (Cauchy-Schwarz inequality for L2).

[F6]

The Lebesgue integral is linear on L1; changing an integrand on a null set does not change the integral (The Lebesgue integral is linear on L1(μ)).

[F7]

For 0≤q<1, the geometric series ∑k=0∞qk converges to 1/(1−q) (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges).

[A1]

Countable Choice is assumed only for the almost-everywhere derivative conclusion (The Axiom of Countable Choice (ACω)).

Proof

1.1F1F2F5choosealgebra

For any Lebesgue-integrable vector function h with ∫∥h∥2<∞, write I=∫h. If I=0, the norm inequality is immediate. Otherwise put q=I/∥I∥2. Then ∥I∥2=∫qTh≤∫∣qTh∣≤∫∥h∥2, by [F1], linearity componentwise, and ∥q∥2=1. Thus the vector integral estimate needed below holds for these Lebesgue integrands. Now put g=Bu∈L1(0,T;Rn); this follows from B∈L∞, u∈L2, and [F5]. Choose a finite partition 0=t0<⋯<tN=T with ∥A∥∞(tj+1−tj)<1 on each subinterval when ∥A∥∞>0; if ∥A∥∞=0, use N=1. Given the already constructed value x(tj), define Tz(t)=x(tj)+∫tjt(A(s)z(s)+g(s))ds on C([tj,tj+1];Rn). By [F2], T maps continuous functions to continuous functions, and the vector-integral estimate just proved gives ∥Tz−Tw∥∞≤qj∥z−w∥∞ with qj=∥A∥∞(tj+1−tj)<1.

2.1F3F7step 1.1algebrainduction

Starting from the constant function z0=x(tj), let zk+1=Tzk. Then ∥zk+1−zk∥∞≤qjk∥z1−z0∥∞. By [F7], the geometric majorant has finite sum, so the iterates are Cauchy in the supremum norm. Each coordinate converges uniformly by [F3], and the finite coordinate limit is a continuous vector function z. The integral estimate in step 1.1 makes T continuous in the supremum norm, hence z=Tz. If z,w are two fixed points, ∥z−w∥∞≤qj∥z−w∥∞, so z=w. Solving the finitely many subintervals in order gives one continuous solution on [0,T], and the same uniqueness on each subinterval proves global uniqueness.

3.1A1F2F6step 2.1

The integrand Ax+Bu lies in L1. Its indefinite integral is absolutely continuous by [F2], as required in the Statement. Under [A1], the L1 fundamental theorem in [F2] differentiates the integral equation almost everywhere and yields x˙=Ax+Bu. The same equation is independent of the chosen representatives of A,B,u by [F6].

3.2F4F5step 1.1step 2.1algebra

From the integral equation and step 1.1, ∥x(t)∥2≤∥x0∥2+∥B∥∞∥u∥L1+∥A∥∞∫0t∥x(s)∥2ds. Apply [F4] with c=∥x0∥2+∥B∥∞∥u∥L1 and then [F5]; this gives the displayed supremum bound.

4.1F6step 2.1step 3.2algebra∎

Linearity of the integral [F6] shows that a linear combination of two zero-initial-state solutions is the solution for the same linear combination of controls; uniqueness from step 2.1 makes the zero-initial-state map linear. Step 3.2 with x0=0 bounds this linear map in the L2 and supremum norms, while the fixed initial-state contribution is independent of u. Hence the full map is affine and bounded as claimed.

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Cited to discharge well-definedness by Finite-horizon bounded-control linear-quadratic ODE problem.

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