Fix any and compare with . The quotient required in a global Lipschitz condition in the dependent variable is
Consequently,
It is nevertheless locally Lipschitz in : for ,
Thus the Picard-Lindelöf theorem gives local existence and uniqueness for the initial value problem; the remaining work establishes existence on the entire half-line for the specified small data.
Write . Multiplying the ordinary differential equation by the integrating factor and using the product rule gives
Integration from to therefore yields the Volterra integral equation
Conversely, a continuous function satisfying this integral equation becomes continuously differentiable after multiplication by , by the fundamental theorem of calculus, and satisfies the original initial value problem.
For , the coefficient bound gives . Thus for the positive kernel satisfies
The starting Picard iterate is continuous and has supremum norm . If the th Picard iterate is bounded and continuous, its integral defines another continuous function, and
Taking the supremum norm and applying mathematical induction proves boundedness of every iterate and
Put and . Initially . If , the preceding supremum norm estimate gives
Hence mathematical induction gives
The difference of two successive Picard iterates factors as
The preceding bound and the kernel estimate therefore give
Moreover . Summing the resulting geometric series, for ,
Thus there is a uniform limit on , continuous by the uniform limit theorem, with . The integral passes to this limit because
Therefore satisfies the Volterra integral equation, and hence the initial value problem. This proves global existence by Global Picard iteration with a decaying kernel. The same estimate gives the useful error bound
If , every iterate is zero and the convergence assertion is immediate.
Let be any continuous function solving the integral equation on , and retain . A first-exit argument avoids assuming in advance that its supremum norm is finite. If ever reached , continuity would give a first such time . On we would have , so the kernel estimate would imply
a contradiction. Therefore for every finite .
That pointwise strict inequality alone would not give a strict bound on the supremum norm. Apply the integral equation once more, now using globally:
Existence was proved by Picard iteration. If and are any two continuous solutions with the same , the previous part makes both bounded by . Subtracting their Volterra integral equations gives
Since , this forces .
For , zero is a solution. On any finite interval , another continuous solution has a finite bound . Since , its integral equation implies
The Gronwall inequality gives on every such interval. Hence

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