Kinetical theory beyond conventional approximations and 1/f-noise
Yuriy E. Kuzovlev (Donetsk Physics, Technology Institute of NASU,, Donetsk, Ukraine)

TL;DR
This paper develops a kinetic theory that explains 1/f-noise as arising from short-range dynamical mechanisms, challenging conventional assumptions and demonstrating its presence in Hamiltonian systems without slow processes.
Contribution
It introduces a new kinetic framework that accounts for 1/f-noise through short-range correlations, avoiding traditional long-time assumptions and revealing its occurrence in Hamiltonian dynamics.
Findings
1/f-noise originates from short-range dynamical mechanisms.
Corrected kinetic equations show 1/f-fluctuations in diffusivity and mobility.
Hamiltonian systems can produce 1/f-noise without slow processes.
Abstract
The 1/f-noise is considered which has no relation to long-lasting processes but originates from the same dynamical mechanisms as what are responsible for the loss of memory, fast relaxation and usual shot noise. The universal long-range statistics of memoryless random flows of events and of related Brownian motion is analysed whose peculiarity is close connection between spectral properties and non-Gaussian probabilistic properties both determined by only short-range characteristic time scales. The exact relations between equilibrium and non-equilibrium 1/f-noise in thermodynamical systems are presented. The existence of long-living higher-order correlations and flicker noise in the Kac's ring model is demonstrated. It is shown that conventional Boltzmannian gas kinetics losses 1/f-noise because incorrectly takes into account the conservation of particles and probabilities in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractal and DNA sequence analysis · Complex Systems and Time Series Analysis · Statistical Mechanics and Entropy
