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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Time differentiation, convolution, integration, and periodicity are fundamental concepts in analyzing functions and signals over time. Each concept provides a unique perspective on how functions evolve, interact, and repeat, offering essential tools for various scientific and engineering applications.
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The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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Updated: May 25, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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The Rosencrantz Coin: Predictability and Structure in Non-Ergodic Dynamics-From Recurrence Times to Temporal

Dimitri Volchenkov1

  • 1Department of Mathematics and Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409, USA.

Entropy (Basel, Switzerland)
|February 26, 2025
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Summary
This summary is machine-generated.

The Rosencrantz coin exhibits non-ergodic dynamics, where sequence structure, not traditional entropy, characterizes its behavior. This reveals deterministic-like patterns in systems lacking stationary distributions.

Keywords:
characteristic timesentropy decompositionnon-ergodic dynamics

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Area of Science:

  • Complex Systems
  • Statistical Mechanics
  • Non-equilibrium Dynamics

Background:

  • Traditional entropy decomposition fails for systems without stationary distributions.
  • Non-ergodic dynamics are characterized by unusual sequence properties.
  • The Rosencrantz coin serves as a model for systems with persistent states.

Purpose of the Study:

  • To characterize the structure of sequences generated by non-ergodic processes.
  • To develop new methods for analyzing systems lacking stationary distributions.
  • To understand the behavior of the Rosencrantz coin model.

Main Methods:

  • Analysis of block probabilities and Stirling numbers of the second kind.
  • Examining logarithmically growing block lengths in sequences.
  • Investigating the interplay between combinatorial growth and probability decay for large sequence lengths (n).

Main Results:

  • Sequence structure is determined by block probabilities and Stirling numbers, peaking at block size n/logn.
  • For large n, combinatorial growth overrides probability decay, leading to deterministic-like structures.
  • The study identifies a shift from state prediction to temporal horizon prediction.

Conclusions:

  • The Rosencrantz coin model demonstrates non-ergodic dynamics distinct from equilibrium systems.
  • New analytical tools are needed for systems without stationary distributions.
  • Understanding temporal horizons is key for analyzing complex, non-stationary systems.