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Self-organization refers to a process in which a system spontaneously organizes itself without external direction or intervention. This phenomenon occurs in various fields, including biology, physics, chemistry, social sciences, and computer science. Key characteristics of self-organization include: 1. **Complex Interactions**: Individual components of the system interact in simple ways, leading to complex group behavior or structures.
Random dynamical systems (RDS) are mathematical frameworks that extend classical dynamical systems to incorporate randomness or stochastic elements. They provide a way to study the evolution of systems where both deterministic and stochastic processes influence the behavior of the system over time. ### Key Concepts: 1. **State Space**: Similar to deterministic dynamical systems, RDS have a state space where the system's state evolves over time.
Nonlinear systems refer to mathematical models or systems of equations where the output is not directly proportional to the input. In contrast to linear systems, where a change in input produces a proportional change in output, nonlinear systems exhibit more complex behavior. Here are some key characteristics of nonlinear systems: 1. **Mathematical Representation**: Nonlinear systems can be described by nonlinear differential equations, polynomial equations, or other complex functions where the variables are raised to powers other than one or are multiplied together.
Non-equilibrium thermodynamics is a branch of thermodynamics that deals with systems that are not in thermodynamic equilibrium. While classical thermodynamics primarily focuses on systems at equilibrium where macroscopic properties are well-defined and stable, many real-world processes occur far from equilibrium, involving gradients in temperature, pressure, concentration, or other thermodynamic variables.
In mathematics, particularly in the field of dynamical systems and topology, **limit sets** refer to a particular type of set associated with the behavior of sequences or trajectories under a given operation or transformation. ### Key Concepts: 1. **Limit Point**: - A point \( x \) is called a limit point of a set \( S \) if every neighborhood of \( x \) contains at least one point of \( S \) different from \( x \) itself.
Ergodic theory is a branch of mathematics that studies the long-term average behavior of dynamical systems. It originated in the context of statistical mechanics and has applications in various fields, including probability theory, statistics, and even areas of physics and number theory. At its core, ergodic theory investigates how a system evolves over time and how its states are distributed in space.
Entropy is a concept that appears in various fields, such as thermodynamics, information theory, and statistical mechanics. Its meaning can vary slightly depending on the context, but generally, it refers to a measure of disorder, uncertainty, or randomness in a system. 1. **Thermodynamics**: In thermodynamics, entropy is a measure of the amount of energy in a physical system that is not available to do work. It is often associated with the degree of disorder or randomness in a system.
Electrodynamics is a branch of physics that deals with the study of electric charges in motion and the resulting electric and magnetic fields they produce. It encompasses the interactions between charged particles and the electromagnetic fields generated by these charges. Electrodynamics is primarily based on Maxwell's equations, which describe how electric and magnetic fields propagate and interact with matter. Key concepts in electrodynamics include: 1. **Electric Fields**: Represent the influence that electric charges exert on each other.
Dynamical systems theorists are researchers and mathematicians who study dynamical systems, which are mathematical models that describe how a point in a given space evolves over time according to a set of defined rules. These systems can be linear or nonlinear and can be applied to various fields, including physics, biology, economics, engineering, and more.
Chaotic maps are mathematical functions or systems that exhibit chaos, which is a complex and unpredictable behavior that arises in certain dynamical systems. These maps are often studied in the context of chaos theory, where small changes in initial conditions can lead to significantly different outcomes, a phenomenon popularly known as the "butterfly effect." Key characteristics of chaotic maps include: 1. **Nonlinearity**: Most chaotic systems are nonlinear, meaning that their relationships cannot be described with simple linear equations.
Bifurcation theory is a branch of mathematics and dynamical systems that studies changes in the structure of a system's solutions as parameters vary. In simpler terms, it examines how small changes in the parameters of a system can lead to significant changes in its behavior or structure, often resulting in the creation or annihilation of stable states or periodic solutions. Key concepts in bifurcation theory include: 1. **Equilibrium Points**: These are the steady-state solutions of a dynamical system.
Astronomical dynamical systems is a field of study in celestial mechanics that focuses on the motion of celestial bodies under the influence of gravitational forces. It combines concepts from physics, mathematics, and astronomy to understand how objects in space, such as planets, moons, asteroids, and stars, interact with each other and evolve over time. Key aspects of astronomical dynamical systems include: 1. **Orbital Mechanics**: This involves the study of the orbits of celestial bodies.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





