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Transport characteristics depend C^1 on the initial position

Statement

Let a be C1 on an open neighborhood of the graph of a characteristic X(⋅;ξ0) solving

X′(t)=a(X(t),t),X(t0;ξ0)=ξ0,

on a compact interval I containing t0. Then, after shrinking to a neighborhood U0 of ξ0, every initial point ξ∈U0 determines a characteristic X(⋅;ξ) on the same interval I, the map (t,ξ)↦X(t;ξ) is continuous on I×U0, and for each t∈I the map ξ↦X(t;ξ) is C1. Its Jacobian matrix Y(t,ξ)=DξX(t;ξ) satisfies

Y′(t,ξ)=Dxa(X(t,ξ),t) Y(t,ξ),Y(t0,ξ)=In.

Facts & Assumptions

Given: A C1 transport field a, a base characteristic X(⋅;ξ0) on a compact interval I, and nearby initial points ξ.

[L2]

Picard-Lindelof gives local existence and uniqueness for first-order systems (Picard-Lindelöf local existence and uniqueness for first-order systems).

[L3]

Nearby ODE solutions exist on one common compact interval and depend continuously on the initial data (Continuous dependence of ODE solutions on initial data and parameters).

[L4]

An ODE solution is equivalent to its Volterra integral equation (A first-order initial value problem is equivalent to its Volterra integral equation).

[L5]

Gronwall's inequality turns an integral inequality into an exponential bound (Gronwall's integral inequality with variable and constant coefficients).

[L7]

The Jacobian matrix is the matrix of first partial derivatives with respect to the initial-position variables (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).

Proof

technique · direct
1.1L2L3

By [L2] and [L3], after shrinking to a neighborhood U0 of ξ0, every ξ∈U0 has a unique characteristic X(⋅;ξ) on the common compact interval I, and (t,ξ)↦X(t;ξ) is continuous there.

2.1L4step 1.1

Fix a coordinate vector ej and a nonzero scalar h with ξ,ξ+hej∈U0; by [L4], the difference quotient Zh(t):=X(t;ξ+hej)−X(t;ξ)h satisfies Zh(t)=ej+∫t0tAh(s,ξ) Zh(s) ds, where Ah(s,ξ)=∫01Dxa(X(s;ξ)+θ(X(s;ξ+hej)−X(s;ξ)),s) dθ, and because a is C1 on a compact neighborhood of the family of graphs, the matrices Ah are uniformly bounded.

3.1L3L5L6step 2.1

Apply [L6] to the integral equation in step 2.1. If t≥t0, then ∥Zh(t)∥2≤1+M∫t0t∥Zh(s)∥2 ds; if t≤t0, rewrite step 2.1 as Zh(t)=ej−∫tt0Ah(s,ξ) Zh(s) ds, so ∥Zh(t)∥2≤1+M∫tt0∥Zh(s)∥2 ds. Gronwall therefore gives ∥Zh(t)∥2≤eM∣t−t0∣ for every t∈I, uniformly in h. The continuity from step 1.1 together with the uniform continuity of Dxa makes Ah(⋅,ξ)→Dxa(X(⋅;ξ),⋅) uniformly as h→0; comparing the equations for Zh and Zk on the forward or backward interval between t0 and t and applying [L5] again shows that (Zh) is Cauchy in C(I;Rn).

4.1L4L7step 3.1

Let Yj(⋅,ξ) be the limit from step 3.1; passing to the limit in step 2.1 gives Yj(t,ξ)=ej+∫t0tDxa(X(s;ξ),s) Yj(s,ξ) ds, which [L4] rewrites as Yj′(t,ξ)=Dxa(X(t;ξ),t)Yj(t,ξ) with Yj(t0,ξ)=ej, and doing this for every coordinate vector while invoking [L7] identifies the matrix Y=(Y1 ⋯ Yn) with DξX; its columns solve the displayed variational equation.

5.1L3L5L6L7step 1.1step 3.1step 4.1∎

Fix ξ and restrict nearby initial points η to a closed ball contained in U0. Put A(t,η)=Dxa(X(t;η),t) and H=max⁡t∈I∣t−t0∣. Continuity from step 1.1 and the C1 hypothesis make A jointly continuous on this compact set, so it has a bound M and δ(η):=sup⁡t∈I∥A(t,η)−A(t,ξ)∥→0 as η→ξ. The column equations in step 4.1 and [L5]–[L6] give ∥Yj(t,η)∥2≤eMH. Subtract the column equations in step 4.1, splitting A(t,η)Yj(t,η)−A(t,ξ)Yj(t,ξ) as A(t,η)(Yj(t,η)−Yj(t,ξ))+(A(t,η)−A(t,ξ))Yj(t,ξ). Reorient backward integrals over [t,t0] before applying [L6]; in either time direction [L5] yields sup⁡t∈I∥Yj(t,η)−Yj(t,ξ)∥2≤He2MHδ(η)⟶0. Thus every derivative column is continuous in ξ, uniformly on I; its time continuity from step 4.1 also gives joint continuity. Since ξ was arbitrary, the first partial derivatives of X(t;⋅) are continuous on U0, proving the asserted C1 dependence and completing the variational-equation claim.

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