Measuring the Infinite: An Expository Journey Through Interpolation Theory, Lorentz Spaces, and Dispersive PDEs

TL;DR

This paper reviews how interpolation theory and Lorentz spaces are crucial for analyzing PDEs, especially at critical endpoints, and demonstrates their application to heat and Schrödinger equations.

Contribution

It introduces Lorentz spaces and interpolation methods as tools to overcome limitations of Lebesgue spaces in PDE analysis, with applications to diffusion and dispersion models.

Findings

Lorentz spaces effectively handle endpoint cases in PDE analysis.

Interpolation methods provide a unified framework for thermal and quantum PDEs.

Established foundational dispersive estimates for Schrödinger equations.

Abstract

This expository article explores the vital role of interpolation theory and Lorentz spaces in the rigorous analysis of partial differential equations (PDEs). While classical Lebesgue spaces ($L_{p}$) successfully measure the magnitude of functions, they frequently fail to bound linear and non-linear evolution operators at critical endpoints of $p=1$ or $p = \infty$ because they conflate a function's amplitude with its spatial spread. To resolve this analytic bottleneck, we introduce distribution functions and decreasing rearrangements, culminating in the construction of Lorentz spaces ($L_{p, q}$). By utilizing the Complex (Riesz-Thorin) and Real (Peetre's K-functional) methods of interpolation, these highly sensitive intermediate spaces act as geometric bridges between endpoint extremes. We apply this framework to two distinct physical models: deriving the continuous smoothing decay of the parabolic Heat equation, and establishing the foundational dispersive Strichartz estimates for the hyperbolic free Schr\"odinger equation. Ultimately, interpolation theory is shown to be the essential mathematical language for quantifying both thermal diffusion and quantum dispersion.