At a current approximation , Taylor's theorem replaces by the affine equation . Solving this equation gives the Newton iteration in a Banach space
The inverse is a bounded linear inverse by the bounded inverse theorem. The displayed operator is defined where the derivative is invertible, in particular on the specified open domain; the hypotheses do not supply a globally defined Newton operator on all of . If with in that domain, then .
For quadratic convergence, choose a sufficiently small neighbourhood of . Continuity of the inverse derivative and of gives constants there such that
Put and . The quadratic Newton error bound in a Banach space follows from the integral remainder:
so
Take a closed radius- ball lying in the neighbourhood with . This inequality maps the ball into itself and makes errors tend to zero. More explicitly, for , induction gives . Hence every sufficiently close initial point converges to at least quadratically; special maps can converge still faster.
For a fixed-point equation, apply the same method to . Wherever is invertible, the exact adapted map is
Every fixed point of is fixed by , and conversely on this domain. This additional invertibility condition is distinct from invertibility of ; for example, is invertible but is not.
For certification, a frozen Newton correction for a fixed-point equation is often more useful. Choose a bounded, injective approximate inverse of and set
Again if and only if . A well-chosen makes the corrected operator contract even if the original operator has an expanding direction. The subsequent contraction mapping argument requires the stated derivative and residual bounds; it does not assume that arbitrary inverse approximations provide them.