Chaos theory tries to explain apparent disorder in a very ordered way. Chaos theory states that things are not really random, just complex. Many apparently random events can be represented by a simple computation that, when iterated, produce complex results. Chaos theory has served an important role for empirical researchers. It reminds us of the possibility that some ostensibly well-understood theoretical models may contain a hidden wealth of rich, dynamic structure. It will be of great interest to watch the developments in chaos theory in the coming years because of its wide applications.

The world of mathematics has been confined to linearity for centuries. Only linear systems could be understood in the past. These systems followed predictable patterns and arrangements. Linear equations, linear functions, linear algebra, linear programming, and linear accelerators are all areas that have been understood and mastered by the human race. But the fact is we do not live in a world that is even remotely linear. How may one go about pursuing and understanding a non-linear system in a world that is confined to the easy, logical linearity of everything? This is the question that scientists and mathematicians tried to address in the 19th century. This led to a new science called Chaos Theory.

The Growing Importance of Chaos Theory, apparent disorder, linear systems, Linear equations, linear functions, linear algebra, linear programming, linear accelerators, oxymoron, phenomena, Aperiodic behavior, small perturbation, Butterfly Effect.