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A globally state-Lipschitz vector field on has global solutions
Statement
Let be continuous and suppose one satisfies for all . Then every IVP for has a unique global solution.
Facts & Assumptions
Given: The globally state-Lipschitz field and its maximal solution.
Gronwall bounds a nonnegative function by its forcing and a linear integral term (Gronwall's integral inequality with variable and constant coefficients).
At a finite maximal endpoint the solution leaves every compact subset of the ODE domain (At a finite maximal time an ODE solution leaves every compact subset of the domain).
A continuous real-valued function on a nonempty compact metric space is bounded (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
A solution satisfies its associated Volterra integral equation (A first-order initial value problem is equivalent to its Volterra integral equation).
Every Picard–Lindelöf IVP has a unique maximal solution, and every other solution through the same data is its restriction (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval).
Proof
Let be the unique maximal solution supplied by [L6], and suppose, for contradiction, that one of its maximal endpoints is finite. On a finite time slab reaching toward it, [L3] bounds by and global Lipschitz continuity gives ; [L4] and [L1] therefore bound throughout the slab.
By [L5], step 1.1 places the graph near that endpoint in a compact time-state box, contradicting [L2]; hence both endpoints are infinite and the solution is global.
Depends on
- Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
- At a finite maximal time an ODE solution leaves every compact subset of the domain
- Gronwall's integral inequality with variable and constant coefficients
- A first-order initial value problem is equivalent to its Volterra integral equation
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
Used by
Nothing in the library uses this result yet.
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Sources
- Gerald Teschl, Ordinary Differential Equations and Dynamical Systems, Ch. 2 (standard reference, not scraped)
- Jiri Lebl, Basic Analysis I, Section 6.3 (standard reference, not scraped)