Chaos Theory is highly applicable to most scientific, nonlinear models. The theory was discovered by accident by a meteorologist, but had so much to lead up to to its applications based upon theories and equations discovered by astronomers. Chaos Theory is used in ordinary differential equations, applied mathematics, and many other fields of mathematics, allowing it to be an important part in the branch of mathematics.
We have explored different patterns in Chaos Theory in weather, fractals, nature, dynamics, populations, and the stock market.
Although Chaos Theory shows that not everything can be predicted, it should not be discouraging to continue to try to predict future events. If anything, Chaos Theory encourages scientists to continue to discover more. With the invention of the computer and the increase in machine learning, Chaos Theory allows more discoveries to take place, more predictions to occur, and more challenges to overcome in the mathematical world.
"The intellect has little to do on the road to discovery. There comes a leap in consciousness, call it intuition or what you will, and the solution comes to you and you don’t know how or why. All great discoveries are made in this way." - Albert Einstein
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