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LemmaStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-24 (gpt-6-sol)
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A half-line first-order operator with a hyperbolic limit has a right inverse

Statement

Let A:[0,∞)→Md(R) be continuous and converge to a matrix L that is self-adjoint for some fixed positive-definite inner product and has no zero eigenvalue. Put FA:C01([0,∞),Rd)→C00([0,∞),Rd),FAu=u′−A(t)u, where the subscript 0 means that the function, and also its first derivative in C01, tend to zero at infinity. Then FA has a bounded linear right inverse RA. If SA={u(0):u∈ker⁡FA}, then SA has dimension equal to the number of negative eigenvalues of L, counted with multiplicity, and SA+{RAv(0):v∈C00([0,∞),Rd), v(0)=0}=Rd. Every homogeneous solution with initial value in SA decays exponentially. The analogous assertions on (−∞,0] follow by time reversal, with the positive eigenspace of the limiting matrix replacing the negative eigenspace.

Facts & Assumptions

Given: The finite-dimensional continuous path and hyperbolic self-adjoint limit in the statement.

[F2]

A continuous linear matrix ODE has a unique solution for each initial value on every finite interval (Linear matrix ODEs have unique global solutions on a fixed interval).

Proof

technique · direct
1.1

Use an equivalent norm from the inner product in the statement. By [F1], Rd=Es⊕Eu with spectral projections Ps,Pu and some λ>0 such that ∥etLPs∥≤e−λt for t≥0 and ∥etLPu∥≤eλt for t≤0. For the constant path L define (RLv)(t)=∫0te(t−s)LPsv(s) ds−∫t∞e(t−s)LPuv(s) ds. Both integrals converge. Their norms are bounded by 2λ−1∥v∥∞; splitting the integrals into a compact initial interval and a tail where v is small shows RLv(t)→0. Differentiation gives (RLv)′=LRLv+v, so the derivative also tends to zero. Thus RL:C00→C01 is bounded and FLRL=I.

F1givenalgebra
2.1

Write B(t)=A(t)−L. If ∥B∥∞ is sufficiently small, FARL=I−BRL on C00, and the Neumann series gives the bounded right inverse RA:=RL(I−BRL)−1. It tends to RL in operator norm as ∥B∥∞→0.

step 1.1algebra
3.1

For this small-perturbation case choose 0<β<λ and, for a∈Es, consider the integral equation u(t)=etLa+∫0te(t−s)LPsB(s)u(s) ds−∫t∞e(t−s)LPuB(s)u(s) ds. On the Banach space of continuous paths with sup⁡t≥0eβt∣u(t)∣<∞, the integral operator has norm at most ∥B∥∞((λ−β)−1+(λ+β)−1). Shrink the permitted ∥B∥∞ so this is below one. Iterating from etLa converges geometrically to a unique solution ua; differentiating the equation gives ua′=Aua. Its initial value is a+hA(a), where hA(a)∈Eu and ∥hA∥→0 as ∥B∥∞→0. Conversely, variation of constants for any homogeneous solution tending to zero gives this integral equation with a=Psu(0): the unwanted unstable term is fixed by its terminal value at infinity. Uniqueness also holds in the unweighted bounded-path norm under the same smallness condition. Hence SA is exactly the graph of hA:Es→Eu, has dimension dim⁡Es, and all its solutions decay at least as e−βt.

F1F2step 2.1algebra
4.1

Choose a smooth scalar ρ supported in (0,∞) with integral one. For each a∈Eu put va(t)=−ρ(t)etLa. Then va(0)=0 and step 1.1 gives RLva(0)=a. For a basis of Eu, step 2.1 makes the vectors RAva(0) close to that basis, while step 3.1 makes SA a graph close to Es. Thus these vectors together with SA span Rd for sufficiently small ∥B∥∞; this follows by invertibility of the finite matrix close to the identity in the fixed splitting Es⊕Eu.

step 1.1step 2.1step 3.1algebra
5.1

For general A(t)→L, choose T so large that the shifted path AT(s)=A(T+s) meets the smallness bounds of steps 2.1–4.1. Apply those steps on [T,∞). For v∈C00([0,∞)), set the solution's value at T to RAT(v(T+⋅))(0) and solve u′=Au+v backwards on [0,T] by [F2]. This constructs a bounded linear right inverse RA:C00→C01; boundedness on the finite interval follows from the variation-of-constants formula and the finite maximum of ∥A(t)∥ there. Homogeneous evolution carries SA isomorphically onto SAT, so dim⁡SA=dim⁡Es and exponential decay persists. To obtain the spanning assertion at 0, choose w on the shifted tail with w(0)=0 and extend it by zero to [0,T]. The right inverse so constructed has RAv(0)=ΦA(0,T)RATw(0), while SA=ΦA(0,T)SAT; step 4.1 then spans all initial values. Finally t↦−t changes u′−A(t)u=v on a negative half-line into z′−(−A(−s))z=−v(−s) on a positive half-line; negative eigenvalues of −A(−∞) are positive eigenvalues of A(−∞).

F2step 2.1step 3.1step 4.1algebra∎

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