Introducing Chaos: A Graphic Guide
By Iwona Abrams and Ziauddin Sardar
()
About this ebook
Chaos theory attempts to answer such baffling questions. The discovery of randomness in apparently predictable physical systems has evolved into a science that declares the universe to be far more unpredictable than we have ever imagined.
Introducing Chaos explains how chaos makes its presence felt in events from the fluctuation of animal populations to the ups and downs of the stock market. It also examines the roots of chaos in modern maths and physics, and explores the relationship between chaos and complexity, the unifying theory which suggests that all complex systems evolve from a few simple rules.
This is an accessible introduction to an astonishing and controversial theory.
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Introducing Chaos - Iwona Abrams
Yin, Yang and Chaos
Ancient Chinese thought recognized that chaos and order are related. In Chinese myth, the dragon represents the principle of order, yang, which emerges from chaos. In some Chinese creation stories, a ray of pure light, yin, emerges out of chaos and builds the sky. Yin and yang, the female and male principles, act to create the universe. But even after they have emerged from chaos, yin and yang still retain the qualities of chaos. Too much of either brings back chaos.
Ancient Chaos
Hesiod, a Greek of the 8th century B.C., wrote the Theogony, a cosmological poem which states that first of all Chaos came to be
, and then the Earth and everything stable. The ancient Greeks seem to have accepted that chaos precedes order, in other words, that order comes from disorder.
Nothing further was made of this ‘mythical’ idea ...
Until recently in the 20th century when chaos theory arrived.
Chaos Theory
Chaos theory is a new and exciting field of scientific inquiry.
The phenomenon of chaos is an astounding and controversial discovery that most respectable scientists would have dismissed as fantasy just a decade or so ago.
But today it is seen as one of the most notable since the advent of quantum theory in the early 1900s.
If chaos theory fulfils its potential, it will dramatically change the way we view the natural world and ourselves.
Why is Chaos Exciting?
Chaos is exciting for all these reasons ...
It connects our everyday experiences to the laws of nature by revealing the subtle relationships between simplicity and complexity and between orderliness and randomness.
It presents a universe that is at once deterministic and obeys the fundamental physical laws, but is capable of disorder, complexity and unpredictability.
It shows that predictability is a rare phenomenon operating only within the constraints that science has filtered out from the rich diversity of our complex world.
It opens up the possibility of simplifying complicated phenomena.
It combines imaginative mathematics with the awesome processing power of modern computers.
It casts doubt on the traditional model-building procedures of science.
It shows that there are inherent limits to our understanding and predicting the future at all levels of complexity.
It is strikingly beautiful! Shakespeare had it right when he had Hamlet say in Act 1, scene 5 ...
There are more things in heaven and earth Horatio, Than are dreamt of in your philosophy.
Hi! I’m Cordiallia Cauliflower. Just look at what chaos has done to me!
Where Does Chaos Come From?
Three major recent developments have made chaos a household word.
1. Breathtaking computing power that enables researchers to perform hundreds of millions of complicated calculations in matters of seconds.
2. The rise in computing power has been accompanied by a growing scientific interest in irregular phenomena such as ...
random changes in weather
the spread of epidemics
the metabolism of cells
the changing populations if insects and birds
the rise and fall of civilizations
the propagation of impulses along our nerves
3. Chaos theory was born when these developments were combined with the emergence of a new style of geometrical mathematics ...
Beyond the familiar shapes of Euclidean geometry ...
To non-Euclidean structures of fractal geometry.
These developments have made an impact in almost every field of human endeavour. Chaos theory has been like a sea into which flow the rivers and tributaries of almost every discipline and subject – from mathematics, physics, astronomy, meteorology, biology, chemistry, medicine to economics and engineering, from the study of fluids and electrical circuits to the study of stock markets and civilizations.
Defining Chaos
Chaos has been variously defined. Here are just a few examples ...
A kind of order without periodicity.
Apparently random recurrent behaviour in a simple deterministic (clock-work-like) system.
The qualitative study of unstable aperiodic behaviour in deterministic nonlinear dynamical systems.
And here’s another by a mathematician in the field, Ian Stewart.
The ability of simple models without inbuilt random features, to generate highly irregular behaviour.
Technical definitions of chaos are not easy to understand. So let’s begin to familiarize ourselves with its terminology.
The Language of Chaos
Dynamic, Change and Variable
Chaos is a dynamic phenomenon. It occurs when something changes. Basically, there are two types of changes.
Regular ones studied by classical physics and dynamics.
And chaotic ones. There may be other types which we have not discovered yet!
What is changeable in a given situation is referred to as a variable.
Systems
Any entity that changes with time is called a system. Systems thus have variables. Here are some examples of systems.
The human body
The population of penguins in the Antarctic
Molecules in an imaginary box
Flu moving through a country
‘The X Flies’
A school
Change is inevitable, except from a vending machine.
Defining Systems
A deterministic system is one that is predictable, stable and completely knowable. The classic example of a deterministic system is an old-fashioned grandfather clock. The balls on a snooker table behave within the boundaries of a deterministic system.
In classical physics, the universe itself was considered to be a deterministic system.
Give me the past and present co-ordinates of any system and I will tell you its future.
In linear systems, variables are simply and directly related. Mathematically, a linear relationship can be expressed as a simple equation where the variables involved appear only to the power of one:
X = 2y + Z
There are no squares, cubes, fourth powers, etc. These types of equations can be solved easily, even if they involve several variables.
Nonlinear relationships involve powers other than one. Here is a nonlinear equation:
A = 3B² + 4C³
Such equations are much harder to analyze and frequently need the help of a computer to understand.