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y′=y2, y(0)=1, has maximal solution y(t)=(1−t)−1 on (−∞,1)

Example

y′=y2, y(0)=1, has maximal solution y(t)=(1−t)−1 on (−∞,1). The vector field (t,y)↦y2 is nevertheless defined on all of R2.

Facts & Assumptions

Given: The scalar equation y′=y2 and initial value y(0)=1.

[L1]

If the positive maximal endpoint is finite, the solution must eventually leave every compact set (At a finite maximal time an ODE solution leaves every compact subset of the domain).

[L3]

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).

Verification

technique · direct
1.1givenL2algebra

Differentiation gives ((1−t)−1)′=(1−t)−2=y(t)2 and y(0)=1. On the connected component of a solution's nonzero set containing 0, [L2] gives (1/y)′=−1, so integration forces 1/y=1−t. If that component had a finite boundary c inside the solution interval, continuity would give y(t)→0 there and hence ∣1/y(t)∣→+∞, while the identity gives 1/y(t)→1−c∈R, a contradiction. Thus the component is the whole solution interval.

2.1step 1.1L1L3algebra∎

On every compact state interval ∣y∣,∣z∣≤R, one has ∣y2−z2∣≤2R∣y−z∣, so the polynomial field satisfies the local state-Lipschitz hypothesis of [L3]. The formula is defined on (−∞,1) and tends to +∞ as t↑1; no finite value permits continuation through 1, while the formula continues indefinitely to the left. Thus it is the unique maximal solution from [L3], consistently with the compact-escape conclusion [L1].

Depends on

Used by

Dependency tree · two levels

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Sources