Can One Model Gravitational Nonlinear Memory with Fractional Derivative Operators?
Sercan Kaya, Bayram Tekin
TL;DR
Problem: can fractional calculus model the nonlinear gravitational-wave memory predicted by GR? Approach: study two toy constructs—(i) a sequential Caputo time-fractional modification of the linearized Einstein field equations and (ii) a fractionalized quadrupole moment—revealing their history-dependent responses. Findings: both approaches produce memory-like offsets but all solutions decay to zero at late times, failing to reproduce the GR permanent displacement; this constitutes a no-go for naive fractionalization. Implications: viable fractional models must embed fractional kernels directly into GR's hereditary flux-balance integral while preserving gauge invariance and dimensional consistency, with potential links to modified gravity and memory behavior in higher dimensions ($D>4$).
Abstract
We investigate whether fractional calculus, with its intrinsic long-tailed memory and nonlocal features, can provide a viable model for gravitational-wave memory effects. We consider two toy constructions: ($i$) a fractional modification of the linearized Einstein field equations using a sequential Caputo operator, and ($ii$) a fractionalized quadrupole formula where the source moment is acted upon by the same operator. Both constructions yield history-dependent responses with small memory-like offsets. However, in all cases, the signal decays to zero at late times, failing to reproduce the permanent displacement predicted by GR. Our results, therefore, constitute a no-go demonstration: naive fractionalization is insufficient to model nonlinear gravitational memory. We argue that any successful model must incorporate fractional kernels directly into the hereditary flux-balance integral of General Relativity, while preserving gauge invariance and dimensional consistency. We also discuss possible connections to modified gravity and the absence of memory in the spacetime with dimensions $D>4$.
