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Initial-data sensitivity of an ODE flow on a common compact tube
Statement
Let , let be open, and let be . Let be compact and convex, and let be open. Assume that for every the unique IVP solution from exists on and for every . Then is on for each . Its derivative matrix is the unique solution of
and hence satisfies , . The claim is local to the stated common compact tube; it does not assert differentiability beyond it.
Facts & Assumptions
Given: , the open state-time domain , the vector field , compact convex , open , and the stated common existence and tube assumptions.
Continuously differentiable maps, local inverses, and local diffeomorphisms: means total differentiability at every point and continuity of the derivative entries.
A first-order initial value problem is equivalent to its Volterra integral equation: each continuous IVP solution satisfies .
Gronwall's integral inequality with variable and constant coefficients: if for nonnegative continuous and constants , then .
Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous: a continuous map on a compact metric space is uniformly continuous; its proof uses no choice principle.
For and integrable when , ; for , is integrable: for an integrable vector-valued function on , .
The chain rule for total derivatives: : the derivative of a composition is the composition of the derivatives.
The mean value inequality: if is continuous and differentiable on with , then : a vector curve continuous on a closed interval with derivative norm at most in its interior changes by at most times the interval length.
Picard-Lindelöf local existence and uniqueness for first-order systems: a continuous vector field locally Lipschitz in the state has a unique local IVP solution; any two solutions through the same data agree on their common interval.
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval: every Picard-Lindelöf IVP has a unique maximal solution, and every other solution through the data is its restriction.
Proof technique: Uniform continuity of on the common compact tube controls the difference-quotient remainder; Gronwall controls both the flow difference and its linearized remainder.
Proof
Compactness of and continuity of give a finite constant bounding and a modulus such that for ; this uses [F1] and [F4]. For fixed and sufficiently small with , set . The two Volterra equations, convexity of , and [F7] applied to the line segment between the two state values give . Applying [F3] to the norm inequality from the integral equations yields .
For each fixed , the matrix equation , , with has a unique solution on . View matrices as vectors in with the Frobenius norm and extend continuously by its endpoint values to an open interval containing . The extended linear vector field is locally Lipschitz in the matrix state, so the linear IVP has a unique maximal solution by [F8] and [F9]. Gronwall bounds on every finite subinterval. If its maximal interval ended at a finite time at or before , then would be bounded there, making Cauchy with a finite limit; local existence from that limit extends the solution, a contradiction. Its integral equation is unique by [F3].
Uniform continuity of on implies, with and , that . The line segment remains in by convexity. For , the chain rule [F6] gives , whose norm is at most ; applying [F7] on gives the claimed remainder bound.
Put . Subtract the integral equations for , , and . The result is , where by steps 1.1 and 2.1. Applying [F3] gives . Thus in the total-derivative definition [F1].
If in , step 1.1 gives uniform convergence . Uniform continuity of on then gives uniform convergence . Subtract the two integral equations for and ; [F3], together with the uniform bound on obtained from its integral equation, implies ; equivalence of matrix norms gives the same convergence in operator norm. The derivative is continuous, so the flow is on .
Depends on
- Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
- Picard-Lindelöf local existence and uniqueness for first-order systems
- A first-order initial value problem is equivalent to its Volterra integral equation
- Gronwall's integral inequality with variable and constant coefficients
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- For $a \le b$ and $f : [a,b] \to \mathbb{R}^m$ integrable when $a<b$, $\bigl\lVert\int_a^b f\bigr\rVert_2 \le \int_a^b \lVert f\rVert_2$; for $a<b$, $\lVert f\rVert_2$ is integrable
- The mean value inequality: if $f : [a,b] \to \mathbb{R}^m$ is continuous and differentiable on $(a,b)$ with $\lVert f'\rVert_2 \le M$, then $\lVert f(b)-f(a)\rVert_2 \le M(b-a)$
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- Continuously differentiable maps, local inverses, and local diffeomorphisms
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Used by
- Validated forward-Euler tube for the periodic flow and variational equation Algorithm
- Certified residual, Jacobian, trajectory, and monodromy enclosures for periodic shooting Definition
- The phase-bordered periodic-orbit BVP residual Definition
- An autonomous periodic orbit has a neutral Floquet multiplier Lemma
- Derivative of the nonlinear shooting residual Proposition
- The multiple-shooting Jacobian is bordered block-bidiagonal Proposition
- A C² vector field has a C² flow on a common compact tube Theorem
- Shooting error separates IVP integration and nonlinear residual error Theorem
Dependency tree · two levels
75 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- R. Verfürth, Numerical Methods and Stochastics, Part I: Numerical Methods, Lecture Notes (standard reference, not scraped)