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What is "chaos"? What can it tell mankind?
As we all know, chaos, quantum mechanics and relativity are the three pillars of the basic theory of modern science, which are consistent with the research starting point of relativity and quantum mechanics. Chaos begins with changing classical mechanics. In science, if the evolution process of a system is very sensitive to the initial state, it is called a chaotic system. A new topic of studying chaotic motion is called chaos. Chaos finds that the strange phenomenon of chaotic motion is caused by nonlinear factors in the system.

1972, 1972 On February 29th, 2002, E.N. Lorenz, a professor at Massachusetts Institute of Technology and one of the founders of chaos science, published a paper entitled "Butterfly Effect" at the139th meeting of the American Society for the Development of Science, and put forward a seemingly absurd conclusion: in Brazil and Texas, butterfly wings flapped.

More importantly, it aroused people's strong interest in chaos. With the rapid development of computer technology, chaos has developed into a far-reaching and rapidly developing frontier science. Generally speaking, if a model that is close to reality but has no inherent randomness still has seemingly random behavior, then it can be said that the real physical system is chaotic, and the system with weak certainty or randomness over time is called dynamic system.

Its state can be determined by one or several variable values. However, in some dynamic systems, two almost identical states will become inconsistent after a long time, just like randomly selecting two states from a long sequence. It is said that this system is sensitive to initial conditions, and its sensitive dependence on initial conditions can also be used as the definition of chaos. Different from the linear science we usually study, chaos is a nonlinear science. However, the research of nonlinear science always seems to turn people's understanding of normal things to the exploration of abnormal things.

What is chaos and what it can tell human beings are explained here today.