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Endpoint maps and exact steering from a null-control operator

Statement

Assume the Axiom of Choice. Let E and U be real Hilbert spaces, with U separable, and let T>0. An evolution here is a family of bounded real-linear maps W(t,r):E→E for t,r∈[0,T] such that W(t,t)=I, W(t,s)W(s,r)=W(t,r), and (t,r)↦W(t,r)x is continuous for each x∈E. Assume M=sup⁡0≤r≤T∥W(T,r)∥<∞ and that B(r):U→E is real-linear, K=sup⁡r∥B(r)∥<∞, and r↦B(r)u is continuous for each u∈U.

Let Z=L2((0,T);U) be the space of strongly measurable functions modulo almost-everywhere equality with square-integrable norm, equipped with its integral real inner product. Define L:Z→E by Lh=∫0TW(T,r)B(r)h(r) dr. Assume, in addition, that for each v∈E the function r↦B(r)∗W(T,r)∗v is strongly measurable. Then L is bounded, and its real Hilbert adjoint is (L∗v)(r)=B(r)∗W(T,r)∗v almost everywhere.

If ∥L∗v∥Z≥c∥v∥E for every v∈E, where c>0, set Q=LL∗ and R=L∗Q−1. Then LR=IE and ∥R∥≤c−1. For the controlled endpoint u(T)=W(T,0)x0+Lh, the bounded linear selection G(x0,xT)=R(xT−W(T,0)x0) steers x0 to xT.

For continuous controls, suppose that a bounded linear map J:E→C([0,T];U) represents the observation: its equivalence-class map iJ equals L∗. Then RC=JQ−1 is a bounded continuous-control selection with LRC=IE, where L acts on a continuous function through its class in Z. Thus GC(x0,xT)=RC(xT−W(T,0)x0) steers the endpoints. Independently, if a bounded linear null-control selection N:E→C([0,T];U) satisfies W(T,0)x+LNx=0 for every x∈E, then GN(x0,xT)=N(x0−W(0,T)xT) also steers x0 to xT.

For a complex state space treated as real, multiplication by −i is a real-linear operation. In particular, if multiplication by a coefficient φ defines a bounded real-linear map Mφ:U→E, the Schrödinger control action may be chosen as B=−iMφ, so its contribution is ∫0TW(T,r)(−iφh(r)) dr. No commutation of i with a real-linear evolution is assumed.

Facts & Assumptions

[F1]

Under Choice, the Bochner L2 space over a separable real Hilbert space, with the Borel sigma-algebra on (0,T) and restricted Lebesgue measure, is a Hilbert space with the integral pairing; finite-valued interval-step functions are dense (Bochner L2 on a finite interval is a separable Hilbert space, The Axiom of Choice). This is the Borel-time supplier statement; step 1.2 transfers its conclusions to the completed Lebesgue time convention used here.

[F2]

A strongly measurable Banach-valued function with integrable norm is Bochner integrable; its integral obeys the norm estimate and is linear. Bounded linear maps commute with this integral (Bochner integrability criterion, Bochner integral norm inequality, Linearity of the Bochner integral, Bounded linear maps commute with Bochner integration).

[F3]

The Hilbert adjoint is defined by the pairing identity in The Hilbert-space adjoint of a bounded operator. Under Countable Choice, the Hilbert-adjoint identities in Hilbert-adjoint identities give bounded linear adjoints with ∥T∗∥=∥T∥ and T∗∗=T for bounded operators between real or complex Hilbert spaces. The assumed Axiom of Choice supplies Countable Choice. We use the real-field case for E, U and the Hilbert time space Z established in step 1.2. Inner products satisfy Cauchy–Schwarz (Cauchy–Schwarz: |⟨ x,y⟩|≤‖x‖ ‖y‖, with equality exactly for dependent pairs).

[F4]

For a bounded observation operator with lower bound c, its Gramian is invertible and the observation composed with its inverse is a right inverse of the observation adjoint with norm at most c−1. A bounded continuous representative map gives the corresponding continuous lift (Observation lower bounds give Hilbert control right inverses).

[F5]

Exact steering and bounded endpoint-to-control selections have the meanings specified in Reachability and observation vocabulary for controlled evolutions; the endpoint relation in this lemma is the displayed affine formula.

[F6]

Strong measurability means pointwise norm convergence of measurable finite-range simple functions outside a measurable null set. A measurable simple function has a finite range and measurable level sets; finite intersections of measurable partition cells give another such function (Strongly measurable Banach-valued function, Banach-valued simple function and integral).

[F7]

The space C([0,T];U) consists of norm-continuous paths with pointwise vector operations and finite supremum norm ∥f∥∞=sup⁡0≤r≤T∥f(r)∥U (Continuous and mixed time-space function spaces). Time-space classes and time integrals here use restricted Lebesgue measure on its Lebesgue sigma-algebra, as in that supplier.

[F8]

Under Countable Choice, L(ℝⁿ) is exactly the completion of the restriction of λₙ to the Borel sets identifies Lebesgue measure with the completion of its Borel restriction. At dimension one, intersecting its decomposition with (0,T) shows that every Lebesgue measurable time set agrees with a relative Borel set outside a relative Borel null set; every Lebesgue null time set is contained in such a Borel null set. The measures agree on Borel sets. Finite and countable subadditivity of measures makes a countable union of Borel null sets Borel and null. The assumed Axiom of Choice supplies the countable selections and the Countable Choice hypothesis of the completion supplier.

[F9]

On any measure space, Hölder's inequality at p=q=2 gives ∫∣fg∣≤(∫∣f∣2)1/2(∫∣g∣2)1/2 for measurable real-valued f,g with finite square integrals; the product is integrable (Holder's inequality for integrals, including the endpoint cases, Statement, clause 1).

[F10]

A real Hilbert space is a complete real inner-product space with its induced norm (Hilbert space). A real-linear map between real normed spaces is bounded when ∥Ax∥≤C∥x∥ for some finite C≥0 (A bounded linear operator between normed spaces). Its operator norm is ∥A∥=sup⁡∥x∥≤1∥Ax∥, and rescaling gives ∥Ax∥≤∥A∥∥x∥, including the zero-space case (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

Proof

Given: The evolution, control action, measurability hypotheses, and Choice in the statement, together with the additional hypotheses for each conditional conclusion.

Goal: Identify the endpoint adjoint and construct the asserted bounded steering selections, retaining the real-linear placement of −i.

1.1givenF10

Put A(r)=W(T,r)B(r). By F10, ∥A(r)u∥≤∥W(T,r)∥∥B(r)u∥≤MK∥u∥, and taking the unit-ball supremum gives ∥A(r)∥≤MK. For fixed u∈U, the increment of A(r)u at r0 is bounded by M∥B(r)u−B(r0)u∥+∥(W(T,r)−W(T,r0))B(r0)u∥. Both terms tend to zero by the stated strong continuity hypotheses. Thus r↦A(r)u is continuous for every fixed u, without a separability hypothesis on E.

1.2givenF1F6F7F8chooseconstruct

Let ZB denote the Borel-time space of F1 and let Z use the completed time measure of F7. A Borel-strongly-measurable representative is also Lebesgue-strongly-measurable. Conversely, let h be a representative in Z, and choose finite-range Lebesgue simple approximants sn converging to h outside a Lebesgue null set, as in F6. Apply F8 to their countably many level sets and choose relative Borel replacements. Disjointifying each finite family, and putting zero on any remainder, gives finite-range Borel simple functions tn equal to sn off Borel null sets. Choose also a Borel null cover of the original exceptional set. Their countable union N is Borel and null by F8. Define h~=h off N and h~=0 on N. The Borel simple functions tn1Nc converge pointwise in norm to h~ everywhere, so h~ is Borel-strongly-measurable and represents the original Lebesgue class. Two Borel-time representatives which agree Lebesgue-almost everywhere agree outside a Borel null set by F8, so this class map is also injective. It preserves sums and real scalar multiples. Scalar norm and inner-product integrals agree by simple approximation, since the completed measure agrees with the Borel measure on Borel sets; exceptional sets can be assigned zero before taking these integrals. Thus the class map is an onto real-linear isometry preserving the integral inner product. Transporting F1 through this map proves that the specified Z is Hilbert and that the same finite-valued interval-step controls are dense in Z. No restriction of the admissible Lebesgue control classes is imposed.

2.1givenF6step 1.1construct

For n≥1, partition [0,T) into the 2n intervals In,k=[kT2−n,(k+1)T2−n) and put qn(r)=kT2−n on In,k, with qn(T)=T. Then ∣qn(r)−r∣≤T2−n. If f:[0,T]→Y is a continuous curve in any Banach space Y, the function f(qn(r)) is finite-valued and measurable: its level sets are unions of these measurable interval cells, possibly with the singleton {T}. Continuity gives f(qn(r))→f(r) for every r. These are explicit simple approximants, so f, and its restriction to (0,T), are strongly measurable by F6. In particular this applies to every curve A(r)u from step 1.1.

3.1givenF6step 1.1step 2.1construct

For a strongly measurable representative h of a class in Z, F6 supplies measurable finite-range simple functions sn with sn(r)→h(r) off a measurable null set. Define gn(r)=A(qn(r))sn(r) on (0,T). If sn takes the value uj on a measurable cell Hn,j, then gn takes the constant value A(kT2−n)uj on Hn,j∩In,k; merging coincident values gives a measurable finite-range simple function. At each r outside the exceptional null set, ∥gn(r)−A(r)h(r)∥≤MK∥sn(r)−h(r)∥+∥(A(qn(r))−A(r))h(r)∥→0. The second term tends to zero by step 1.1 applied to the fixed vector h(r), while the first tends to zero by the chosen approximation. Therefore r↦A(r)h(r) is strongly measurable directly by F6, even when E is not separable.

3.2givenF1F6F7step 2.1step 1.2

For f∈C([0,T];U), step 2.1 gives strong measurability of its restriction to (0,T), while F7 gives ∫0T∥f(r)∥U2 dr≤T∥f∥∞2<∞. Hence if=[f∣(0,T)] defines a map i:C([0,T];U)→Z with ∥if∥Z≤T∥f∥∞. Restriction and passage to equivalence classes preserve pointwise sums and real scalar multiples, so i is bounded and real-linear. Every occurrence of Lf for a continuous control consequently means L(if).

4.1givenF1F2F6F7F9F10step 1.1step 1.2step 3.1

Choose the representative h to be zero on the exceptional null set of its strong simple approximation, as allowed by F6. The scalar function f(r)=∥h(r)∥U is measurable: the norms of the simple approximants, also set to zero on that set, are measurable scalar simple functions converging pointwise to f. By the definition of Z, ∫0Tf(r)2 dr=∥h∥Z2<∞. The constant function g(r)=1 is measurable with ∫0Tg(r)2 dr=T<∞ for the time measure in F7. Apply F9 to f,g on this restricted Lebesgue measure space, with conjugate exponents p=q=2, to obtain ∫0T∥h(r)∥U dr≤T∥h∥Z. By step 1.1 and F10, ∥A(r)h(r)∥E≤MK∥h(r)∥U; together with step 3.1, this gives the strong measurability and integrable norm needed in F2. Hence the endpoint integrand is Bochner integrable and ∥Lh∥≤MKT∥h∥Z. Linearity follows from the integral's linearity. If h and h~ agree almost everywhere, their endpoint integrands also agree there; the integral norm bound applied to their difference gives Lh=Lh~. Thus L is a well-defined bounded real-linear map on Z.

5.1givenF1F2F3F6step 1.2step 4.1

Put Ov(r)=B(r)∗W(T,r)∗v. By F3, both adjoints are bounded and real-linear, with ∥B(r)∗∥=∥B(r)∥≤K and ∥W(T,r)∗∥=∥W(T,r)∥≤M. Thus ∥Ov(r)∥≤MK∥v∥. The assumed strong measurability gives Ov∈Z, and pointwise real linearity and this estimate make O:E→Z bounded and real-linear. For a finite-valued step control h, commute the bounded functional x↦(x,v)E with the Bochner integral and use the defining adjoint identities pointwise to get (Lh,v)E=∫0T(h(r),Ov(r))U dr=(h,Ov)Z. Density of such controls and the bounds for L and O extend this equality to every h∈Z. Uniqueness of the Hilbert adjoint therefore gives O=L∗.

5.2givenF5step 4.1step 3.2

The evolution identities give W(T,0)W(0,T)=IE. With y=x0−W(0,T)xT, the null-control hypothesis gives LNy=−W(T,0)y. Consequently W(T,0)x0+LN(y)=W(T,0)W(0,T)xT=xT. The composition defining GN is bounded and real-linear.

6.1F3F4F5step 1.2step 5.1

Apply [F4] with observation O=L∗ and observation space Z. Its adjoint is L, because the identity in step 5.1 also characterizes O∗ by symmetry of the real inner products. Thus Q=O∗O=LL∗ is invertible, R=OQ−1 obeys LR=IE, and ∥R∥≤c−1. Substitution into the endpoint formula gives W(T,0)x0+LG(x0,xT)=xT; boundedness follows from the bound for R and boundedness of W(T,0).

7.1givenF4F5step 3.2step 6.1

If J is supplied, [F4] gives RC=JQ−1, a bounded map into C([0,T];U) with iRC=R. Step 3.2 supplies the bounded linear class map i required in F4, so LRC=L(iRC)=LR=IE. The same substitution proves continuous-control steering and boundedness of GC.

8.1givenstep 4.1∎

If B=−iMφ, the endpoint formula in step 4.1 has integrand W(T,r)(−iφh(r)) by substitution. The proof used only real linearity, so it does not move i through W(T,r). This proves the stated conditional Schrödinger formulation.

Remarks

The observation measurability, the lower bound, and any continuous representative map are hypotheses to verify in an application. The lemma does not assert them from strong continuity of W alone. The evolution and control action may be realifications of complex-linear operators; all conclusions stated here are real-linear.

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