Chaos Theory and You Essay

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We live in a world that we can consider, for the most part, fairly predictable. For example, I can say with confidence, that if someone does not study for a test, they will not do as well on the test than if they had studied. But what if that wasn’t always the case? What if nothing had a set outcome and every possible outcome was ‘fair game’? This is Chaos Theory. Chaos Theory is the study of dynamic systems that are highly dependent on their initial conditions (abarim). There are several systems so dependent on their initial conditions that even a rounding error in an equation will send it spiraling out of control – they are considered part of the Butterfly Effect (stsci). Systems that fall under the category of Chaos Theory and The …show more content…
Unfortunately, Chaos Theory had not even been developed yet into a formal scientific theory, so he never published much of his data. During this time period, Chaos Theory was actually known as Ergodic Theory, which is still used in statistical physics. Then, years later, in 1961, Edward Lorenz accidentally stumbled upon the idea of Chaos Theory in on of his weather system models (abarim). Partway through one of his tests he started to run short on time. To make things move more quickly, he printed out the data corresponding to the conditions he wanted to start from. When he inputed the data he had printed out the model started to predict weather patterns completely different from those that it had been predicting before. When he investigated the problem, he soon realized that even though the computer worked with precision up to six digits, the printout he received only showed the value rounded to the first three (abarim). This seemingly tiny rounding error was actually able to radically change the outcome of the model. This is main premise of the ideas behind Chaos Theory and The Butterfly Effect. Chaos Theory’s definition has three parts to it, all of which must be true the system to be considered ‘chaotic’. First, the system must be sensitive to its initial conditions. This part of the definition is pretty clear from the start. It says that if the initial conditions of a system were to change by even a

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