<p>We introduce the notion of Karamata regular operators, which is a notion of regularity that is suitable for obtaining concrete convergence rates for common fixed point problems. This provides a broad framework that includes, but goes beyond, Hölderian error bounds and Hölder regular operators. By <i>concrete</i>, we mean that the rates we obtain are explicitly expressed in terms of a function of the iteration number <i>k</i> instead, of say, a function of the iterate <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(x^k\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>x</mi> <mi>k</mi> </msup> </math></EquationSource> </InlineEquation>. While it is well-known that under Hölderian-like assumptions many algorithms converge linearly/sublinearly (depending on the exponent), little it is known when the underlying problem data does not satisfy Hölderian assumptions, which may happen if a problem involves exponentials and logarithms. Our main innovation is the usage of the theory of regularly varying functions which we showcase by obtaining concrete convergence rates for quasi-cylic algorithms in non-Hölderian settings. This includes certain rates that are neither sublinear nor linear but sit somewhere in-between, including a case where the rate is expressed via the Lambert W function. Finally, we connect our discussion to <i>o</i>-minimal geometry and show that, under mild assumptions, definable operators in any <i>o</i>-minimal structure are always Karamata regular.</p>

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Concrete convergence rates for common fixed point problems under Karamata regularity

  • Tianxiang Liu,
  • Bruno F. Lourenço

摘要

We introduce the notion of Karamata regular operators, which is a notion of regularity that is suitable for obtaining concrete convergence rates for common fixed point problems. This provides a broad framework that includes, but goes beyond, Hölderian error bounds and Hölder regular operators. By concrete, we mean that the rates we obtain are explicitly expressed in terms of a function of the iteration number k instead, of say, a function of the iterate \(x^k\) x k . While it is well-known that under Hölderian-like assumptions many algorithms converge linearly/sublinearly (depending on the exponent), little it is known when the underlying problem data does not satisfy Hölderian assumptions, which may happen if a problem involves exponentials and logarithms. Our main innovation is the usage of the theory of regularly varying functions which we showcase by obtaining concrete convergence rates for quasi-cylic algorithms in non-Hölderian settings. This includes certain rates that are neither sublinear nor linear but sit somewhere in-between, including a case where the rate is expressed via the Lambert W function. Finally, we connect our discussion to o-minimal geometry and show that, under mild assumptions, definable operators in any o-minimal structure are always Karamata regular.