The contraction mapping theorem states that a contraction mapping on a nonempty complete metric space has a unique fixed point. Explicitly, if for all and one fixed , then the iterates converge to that fixed point from every . Both self-mapping and completeness are needed; the set need not be a vector space.
For , work on the closed subset
It is a nonempty complete metric space because it is closed in the Banach space of continuous functions with the supremum norm. Define the Picard iteration operator
Choose so that and , omitting a bound whose constant is zero. Such a positive exists. The first inequality makes a self-map, since . The Lipschitz condition gives
so the contraction mapping theorem yields a unique fixed point. The fundamental theorem of calculus makes it a differentiable solution of with ; conversely every solution staying in the rectangle satisfies the integral equation and is a fixed point. This is the local Picard-Lindelöf theorem construction. The interval-restricted space avoids treating functions defined on a shorter interval as elements of .
Under , the same Picard iteration operator maps all of into itself. It need not be a contraction mapping in one step, since can exceed one. Instead repeated integration gives the factorial estimate for Picard iteration
proved inductively by integrating the preceding bound between and . Thus
For some the coefficient is less than one, so is a contraction. Its unique fixed point is also fixed by : and uniqueness forces . Conversely any fixed point of is one of . This iterated contraction argument gives a unique solution on the full interval , without the unjustified extra assumption .
The uniqueness statement is for solutions in the specified rectangle, where is given and controlled. The bound keeps the constructed solution inside that rectangle throughout the interval.

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