Evolutionary Attractors of Fundamental Constants: A Dynamical Explanation of the Fine‑Tuning of the Universe

This article offers a dynamical explanation of the fine‑tuning problem of fundamental constants within the Infinite‑Dimensional Multiverse Model (IDM). The author argues that the values of the fine‑structure constant α, proton mass mₚ, cosmological constant Λ, and other constants are neither random nor "fine‑tuned," but rather represent evolutionary attractors – stable states of a dynamical system toward which our Universe is driven by an infinite number of weak interactions with neighbouring universes. The paper introduces the concept of a space of fundamental constants, where each universe is a point. The net influence of all neighbouring worlds creates an effective potential whose minimum determines the equilibrium values of the constants. This mechanism explains why constants have their values, allows small variations, and yields testable predictions for cosmological observations. As an additional hypothesis, the article considers the possibility of unintentional influence of pre‑atomic life (PAL) on the position of attractors. Just as cyanobacteria changed Earth's atmosphere, PAL in neighbouring universes – or even inside our own – could, through its life activity, modify fundamental fields and shift the equilibrium values of constants. This does not invalidate the core physical model but complements it with a biological dimension. The article presents four core testable predictions (constant variations, Λ dynamics, CMB anomalies, correlations) and additional ones for the PAL hypothesis. The model moves fine‑tuning from the realm of "miracle" to physics and serves as a foundation for navigational maps of the multiverse.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21141996
Primary Topic
Space Science and Extraterrestrial Life
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Evolutionary Attractors of Fundamental Constants: A Dynamical Explanation of the Fine‑Tuning of the Universe

Alexander Yourievitch Kotelnikov
Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
preprint

Evolutionary Attractors of Fundamental Constants: A Dynamical Explanation of the Fine‑Tuning of the Universe

Alexander Yourievitch Kotelnikov
preprint en

Abstract

This article offers a dynamical explanation of the fine‑tuning problem of fundamental constants within the Infinite‑Dimensional Multiverse Model (IDM). The author argues that the values of the fine‑structure constant α, proton mass mₚ, cosmological constant Λ, and other constants are neither random nor "fine‑tuned," but rather represent evolutionary attractors – stable states of a dynamical system toward which our Universe is driven by an infinite number of weak interactions with neighbouring universes. The paper introduces the concept of a space of fundamental constants, where each universe is a point. The net influence of all neighbouring worlds creates an effective potential whose minimum determines the equilibrium values of the constants. This mechanism explains why constants have their values, allows small variations, and yields testable predictions for cosmological observations. As an additional hypothesis, the article considers the possibility of unintentional influence of pre‑atomic life (PAL) on the position of attractors. Just as cyanobacteria changed Earth's atmosphere, PAL in neighbouring universes – or even inside our own – could, through its life activity, modify fundamental fields and shift the equilibrium values of constants. This does not invalidate the core physical model but complements it with a biological dimension. The article presents four core testable predictions (constant variations, Λ dynamics, CMB anomalies, correlations) and additional ones for the PAL hypothesis. The model moves fine‑tuning from the realm of "miracle" to physics and serves as a foundation for navigational maps of the multiverse.

Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.