Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 10 min ago
PreprintCC BY-NC-SA 4.0arXiv

Full-measure historic behavior and emergence in simplex dynamics

Abstract

We give a finite-dimensional boundary-residence mechanism for Takens-type historic behavior. For a class of continuous self-maps of a simplex, a multiplicative Lyapunov drift toward the boundary, combined with cyclic residence near separated boundary regions, forces every non-fixed interior orbit to have non-convergent Cesàro averages and non-convergent empirical measures. Thus the historic set has full relative Lebesgue measure. The mechanism is independent of hyperbolic specification, wandering domains and positive entropy: in fact, for the maps considered here the topological entropy is carried entirely by the boundary restriction. The non-convergence persists under all positive powers and, more generally, under multiplicatively thick sampling times. The abstract criterion applies to Stein--Ulam and Lotka--Volterra type stochastic operators once the model-specific cyclic coding and logarithmic residence estimates are verified. In explicit cyclic-collar models we identify the full weak-* accumulation set of empirical measures; this accumulation set is a non-trivial circle of probability measures and yields polynomial pointwise emergence of order ε−1. We also obtain examples with positive-dimensional omega-limit sets by combining the mechanism with a Barański--Misiurewicz type boundary-tracing construction.

Related

  1. Reachable sets under Kolmogorov dynamics in the probability simplex
    Alfonso Fernández de Bobadilla, Mykhailo Hontarenko, Guillem Müller-Rigat +1
    arXivPreprintarXiv licenceFull textMathematical physicsarXiv
  2. Below-threshold Bistability and Implementation Lag in a Simplex Model of Radical Vote-Share Dynamics
    Alexander Omelchenko
    arXivPreprintarXiv licenceFull textDynamical systemsarXiv
  3. Mechanistic inhibition of herpes simplex virus-1 UL21 immune-evasion function by natural-product scaffolds: A multi-tier docking, dynamics, and energetic profiling approach
    Muhammad Suleman, Imtiaz Ali, Abrar Mohammad Sayaf +6
    PLOS OnePeer-reviewedCC BY 4.0Full textBioinformatics & computational biologyMicrobiologyPLOS
  4. Balance laws with measure valued source for commuting dynamics
    Fabio Ancona, Annalisa Cesaroni, Elio Marconi
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  5. Classical and Quantum Dynamics in State Space: Projective Hilbert Space, Measurement, and Classical Emergence
    Alexey A. Kryukov
    arXivPreprintarXiv licenceFull textMathematical physicsQuantum physics & quantum informationarXiv
BibTeX
@misc{mukhamedov2026fullmeasure,
  title = {{Full-measure historic behavior and emergence in simplex dynamics}},
  author = {Farrukh Mukhamedov},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.18979},
  eprint = {2609.18979},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.18979},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - Full-measure historic behavior and emergence in simplex dynamics
AU  - Farrukh Mukhamedov
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.18979
UR  - https://arxiv.org/abs/2609.18979
AB  - We give a finite-dimensional boundary-residence mechanism for Takens-type historic behavior. For a class of continuous self-maps of a simplex, a multiplicative Lyapunov drift toward the boundary, combined with cyclic residence near separated boundary regions, forces every non-fixed interior orbit to have non-convergent Cesàro averages and non-convergent empirical measures. Thus the historic set has full relative Lebesgue measure. The mechanism is independent of hyperbolic specification, wandering domains and positive entropy: in fact, for the maps considered here the topological entropy is carried entirely by the boundary restriction. The non-convergence persists under all positive powers and, more generally, under multiplicatively thick sampling times. The abstract criterion applies to Stein--Ulam and Lotka--Volterra type stochastic operators once the model-specific cyclic coding and logarithmic residence estimates are verified. In explicit cyclic-collar models we identify the full weak-* accumulation set of empirical measures; this accumulation set is a non-trivial circle of probability measures and yields polynomial pointwise emergence of order ε^−1. We also obtain examples with positive-dimensional omega-limit sets by combining the mechanism with a Barański--Misiurewicz type boundary-tracing construction.
ER  -