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Variational equations and commuting local flows

Statement

Let X be a C2 vector field on an open subset of Rm, where C2 means that total derivatives through order two exist and are continuous. Its local flow ϕXt(q) from Local flows by a contraction argument is C2 jointly in (t,q), and J(t,q):=DqϕXt(q) satisfies ∂tJ=DX(ϕXt(q))J and J(0,q)=I. For two such fields define their bracket by [X,Y](q):=DY(q)X(q)−DX(q)Y(q). If [X,Y]=0 on a neighborhood and all local maps stay there, then DqϕXt(q)Y(q)=Y(ϕXt(q)) and their local flows commute: ϕXt∘ϕYs=ϕYs∘ϕXt whenever both sides are defined.

Facts & Assumptions

Given: The stated Euclidean domains and C2 regularity; for m≥1 use the local contraction flow of Local flows by a contraction argument, and for m=0 construct the flow directly in step 1.1.

[F1]

Local flows by a contraction argument: for m≥1, a continuous-derivative vector field has a unique local flow, a Volterra integral equation, locally Lipschitz dependence on initial data, and the local flow law.

[F2]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): for totally differentiable maps, D(g∘f)=Dg∘Df at the corresponding point.

[F5]

R and Rn for n≥1 with the Euclidean metric are complete, componentwise from the Cauchy criterion in R: every Euclidean Cauchy sequence in a finite-dimensional real coordinate space converges. Consequently, continuous curves into the finite-dimensional matrix and bilinear-map spaces below are complete in the supremum operator norm: a supremum-Cauchy sequence is coordinatewise uniformly Cauchy, its coordinate limits are continuous by uniform convergence, and the bounds ∥A∥op≤∑i,j∣Aij∣ and ∥B∥op≤∑k,i,j∣Bkij∣ turn coordinatewise uniform convergence into uniform operator-norm convergence.

[F7]

If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative: if all first partial derivatives of a map exist on a neighborhood and are continuous at a point, the map is totally differentiable there with the Jacobian as derivative.

Proof

Given: In the case m≥1, choose a compact closed ball K inside the field domain and a time interval [−δ,δ] so all flow points and line segments used below remain in K. By [F4], K is compact; continuity of DX and D2X makes L:=sup⁡K∥DX∥ and M2:=sup⁡K∥D2X∥ finite. Shrink δ so Lδ<1. Write Mm(R)=Rm×m for real matrices acting as linear maps on Rm, and write Bil⁡(Rm×Rm,Rm) for bilinear maps. Matrix and bilinear-map norms are operator norms induced by the Euclidean norm; vector-valued integrals are componentwise Riemann integrals.

1.1givenconstructalgebra

For m=0, define R0 as the singleton consisting of the empty coordinate tuple, denoted 0, with its unique vector-space structure and norm ∥0∥=0. Its open subsets are empty or the singleton; the empty domain has no initial point and all assertions there are vacuous. On the singleton both fields necessarily equal zero. Define ϕXt(0)=ϕYt(0)=0 for every real t. These are the unique solution curves and satisfy the flow law. Every map into this zero vector space has the unique zero linear map as total derivative, since its differentiability remainder is identically zero; iterating gives continuous derivatives through order two. Thus the flows are jointly C2, J is the unique endomorphism of R0, which is also its identity I0, and ∂tJ=DX(ϕX)J=0. The bracket and both transport expressions are zero, and both flow compositions are the identity. This proves every assertion for m=0 without invoking the positive-dimensional suppliers. In the remaining steps assume m≥1.

1.2F1F2F3F4

For p near q put Δh(t):=ϕXt(p+h)−ϕXt(p). The integral equations from [F1] and the one-variable fundamental theorem applied to θ↦X(ϕXs(p)+θΔh(s)) give Δh(t)=h+∫0tAh(s)Δh(s) ds,Ah(s):=∫01DX(ϕXs(p)+θΔh(s)) dθ. The segments lie in K after shrinking the initial ball and time interval. The local Lipschitz estimate in [F1] gives sup⁡t∥Δh(t)∥=O(∥h∥). Uniform continuity of DX on K from [F4] makes Ah(s) converge uniformly to DX(ϕXs(p)) as h→0.

2.1step 1.2F1F3F4F5F6algebra

Let I=[−δ,δ] and let C1=C(I,Mm(R)) with the supremum operator norm. This space is complete: for a supremum-Cauchy sequence (Jk), each matrix entry at each s is Cauchy because ∣Aij∣≤∥A∥op; [F5] applied to the m2 entries gives a pointwise matrix limit J(s), and the uniform Cauchy estimate passed to each entry gives uniform convergence of all entries. Each limit entry is continuous by the ε/3 argument for uniform limits of continuous functions. The finite-coordinate bound ∥A∥op≤∑i,j∣Aij∣ then gives uniform operator-norm convergence, so J∈C1. The space is nonempty because it contains the constant zero matrix curve. Put A0(s):=DX(ϕXs(p)) and define T(J)(t):=Im+∫0tA0(s)J(s) ds. It maps C1 into itself and is a contraction with constant at most Lδ<1. By [F6], it has a unique fixed point J. Define Rh(t):=Δh(t)−J(t)h. Subtracting the integral equations and writing the integrand difference as (Ah−A0)Δh+A0Rh gives ∥Rh∥∞≤Lδ∥Rh∥∞+δ∥Ah−A0∥∞∥Δh∥∞=o(∥h∥), by step 1.2 and uniform continuity of DX on K. Thus DqϕXt(p)=J(t,p). The continuous integrand in the equation for J has average over [t,t+h] tending to its value at t: the quotient error is at most sup⁡∣s−t∣≤∣h∣∥DX(ϕXs(p))J(s,p)−DX(ϕXt(p))J(t,p)∥, which tends to zero. Thus ∂tJ=DX(ϕXt(p))J and J(0,p)=Im.

3.1step 2.1F1F2F3F4F5F6algebra

Write Jh(s)=DqϕXs(p+h) and J0(s)=DqϕXs(p). Subtracting their integral equations gives Jh−J0=∫0tA0(Jh−J0) ds+∫0t(Ah−A0)Jh ds, where Ah=DX(ϕh), A0=DX(ϕ0), ϕh=ϕXs(p+h), and ϕ0=ϕXs(p). The line-segment chain rule and Newton–Leibniz supplier claims in [F2]–[F3], applied entrywise to DX along the segment from ϕ0 to ϕh, give the exact formula Ah−A0=∫01D2X(ϕ0+θ(ϕh−ϕ0))[ϕh−ϕ0,⋅] dθ and therefore ∥Ah−A0∥∞≤M2∥ϕh−ϕ0∥∞. By [F1], ∥ϕh−ϕ0∥∞=O(∥h∥); the integral equation gives ∥Jh∥∞≤(1−Lδ)−1. Absorbing the first integral using Lδ<1 yields Jh−J0=O(∥h∥) uniformly in time. Uniform continuity of D2X on K, the same line-segment formula, and ϕh−ϕ0=J0h+o(∥h∥) from step 2.1 now give Ah−A0=D2X(ϕ0)[J0h,⋅]+o(∥h∥) uniformly, and hence (Ah−A0)Jh=D2X(ϕ0)[J0h,J0(⋅)]+o(∥h∥). For each base point p, define C2=C(I,Bil⁡(Rm×Rm,Rm)) with the supremum bilinear-operator norm. The coordinatewise completeness proof of step 2.1 applies with m3 coefficients, so C2 is complete; it is nonempty because it contains the zero bilinear-map curve. The map (TK)(t)[u,v]:=∫0t(A0(s)K(s)[u,v]+D2X(ϕ0(s))[J0(s)u,J0(s)v]) ds is a contraction with constant at most Lδ on C2. By [F6] it has a unique fixed point Kp. Subtracting its equation evaluated at (h,v) from the equation for Jh−J0 gives Rh:=Jh−J0−Kp[h,⋅] with ∥Rh∥∞≤Lδ∥Rh∥∞+o(∥h∥), so Rh=o(∥h∥). Therefore DpJ[h](v)=Kp[h,v], and Kp is the second derivative Dq2ϕX. Its equation makes it bilinear. The coefficients, forcing, ϕp, and Jp vary continuously in p uniformly for s∈I; for fixed-point maps Tp with contraction constant Lδ, ∥Kp−Kp′∥∞≤(1−Lδ)−1∥Tp(Kp′)−Tp′(Kp′)∥∞→0. The integral equation gives continuity in t as well. Thus the second derivatives in q are continuous.

3.2F1F2step 2.1

Let V(t):=Y(ϕXt(q)) and W(t):=DqϕXt(q)Y(q). By [F2] and the variational equation, V′=DY(ϕXt)X(ϕXt) and W′=DX(ϕXt)W. The identity [X,Y]=0 makes V solve this same linear equation with V(0)=W(0)=Y(q); uniqueness from the contraction argument gives DqϕXt(q)Y(q)=Y(ϕXt(q)).

4.1F2F7step 2.1step 3.1

On the open interior of the chosen time and initial-point neighborhood, step 2.1 gives DqϕX=J and ∂tJ=DX(ϕX)J, while step 3.1 gives the continuous second derivative DqJ=K. The chain rule [F2] applied to ∂tϕX=X(ϕX) gives ∂qi∂tϕX=DX(ϕX)Jei, and the variational equation gives ∂t∂qiϕX=DX(ϕX)Jei; also ∂t2ϕX=DX(ϕX)X(ϕX). Hence all first- and second-order coordinate partial derivatives of ϕX exist and are continuous there. Apply [F7] pointwise first to ϕX and then to its first-derivative map: its Jacobian is the matrix of first partials, and the Jacobian of that map is the continuous array of second partials. Thus ϕX is jointly C2.

5.1step 3.2F1F2∎

For fixed t, the curve s↦ϕXt(ϕYs(q)) has derivative DϕXt Y(ϕYs(q))=Y(ϕXt(ϕYs(q))) by step 3.2, and starts at ϕXt(q). It is therefore the Y-flow from that initial point; IVP uniqueness from [F1] yields ϕXtϕYs(q)=ϕYsϕXt(q).

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