Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section5.Field.Holder

Holder #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

A quantitative subcritical Hölder modulus for the stream matrix #

The sharp shell carrier has a linear weight at the shell/cube crossover. At the critical exponent this produces a logarithmic loss. Dropping from gamma to gamma / 2 leaves a geometric factor which absorbs that weight. This file performs that deterministic summation and records a modulus whose dependence on the observation radius is linear.

The subcritical Hölder exponent: half the shell exponent gamma.

Equations
Instances For

    A concrete sample constant for the sharp two-sided shell estimates.

    Equations
    Instances For

      The geometric ratio for the low-frequency part of the Hölder estimate.

      Equations
      Instances For

        The geometric ratio for the high-frequency part of the Hölder estimate.

        Equations
        Instances For

          The geometric ratio determined by the stream Hölder exponent.

          Equations
          Instances For

            The weighted geometric sum for the low-frequency Hölder bound.

            Equations
            Instances For

              The weighted geometric sum for the high-frequency Hölder bound.

              Equations
              Instances For

                The weighted geometric sum for the Hölder-exponent gap bound.

                Equations
                Instances For

                  The shell mean-value estimate between two points of the same origin cube.

                  An explicit radius-independent coefficient in the Hölder modulus.

                  Equations
                  • One or more equations did not get rendered due to their size.
                  Instances For

                    The radius-dependent modulus; its growth exponent is explicitly one.

                    Equations
                    Instances For

                      The crossover estimate in the small-distance regime.