Chaos Theory is a field of study of mathematics, although it is based on simple principles. has complex implications for sciencesome like vowels, fractals or the butterfly effect.

But in order to reach its final conclusions, it is necessary to understand the fundamentals of this theory. With that in mind, understand what Chaos Theory is below and learn about some of its implications for scientific research.

After all, what is Chaos Theory?

Imagine you want to do a simple calculation on a calculator, 30 times 3, but you accidentally typed 31. The result you get, 93, is still pretty close to the 90 you want.

But if you keep multiplying the result by 3, the two results get further and further apart. Anyone can do this experiment at home. This is chaos theory that works in practice.

What mathematicians argue is that a small difference in the initial state—a numerical rounding error, for example—doesn’t have big consequences in the short run, but rather different results. make long-term forecasts impossibleeven if no random events occur.

What are the implications of Chaos Theory in science?

When we talk about long-term predictions, we can’t leave it to science. Scientific knowledge consists of observing the world to find laws that can predict the way any event will occur.

An example of this is classical or Newtonian physics that we learned in school. For example, if we know the speed of a car, we can calculate the distance it can travel in a given time.

More or less. According to chaos theory, there can be a minimum error in the velocity value that affects the final calculated result over very long periods of time. This is where mathematics begins to give physicists a headache.

Any science subject must take into account the implications of chaos theory (Source: Unplash/Greg Rakozy)

These problems exist in many fields of science. For example, in meteorology, there are so many factors that affect a climate that it is impossible to know them all.

Forecasting earthquakes, population growth, or the next financial crisis are other fields of study that may provide useful answers for humanity, but are jeopardized by chaos.

To deal with such unpredictability, scientists had to come up with a new computational tool, and they did so by accepting a cautious amount of randomness in their theory. This method is widely used and even Einstein used this strategy.

Discover the developments of Chaos Theory:

fractals

If, in practice, chaos makes everything seem chaotic and unpredictable, the reality is not quite so. Mathematicians are discovering that Clutter itself creates patterns shift.

A chaotic system follows a path to specific points called attractors, and the set of these targets within a system is what we know as fractals.

These mathematical objects are very curious. The most striking thing about them is that we can see the whole, even when looking at just one part of the picture. Therefore, they are also referred to as the like self.

Butterfly Effect

Another direct consequence of chaos theory is the so-called butterfly effect. The phenomenon became famous through Ray Bradbury’s science fiction books “The Sound of Thunder” and films by Eric Bress and J. Mackye Gruber.

However, it is meteorologist Edward Lorenz who is considered to be the father of this idea. In 1961 he was working on a mathematical model that could predict the weather. So he collected temperature, humidity, pressure and air direction data for his research.

He got different results when he loaded all the information on his computer twice in a row. Intrigued, he continued to run his program, and surprisingly, more and more new predictions appeared on the device’s screen.

The difference in Lorenz’s work arose because the scientist carelessly rounded the measured values. This seemed unimportant. But in the end, it had unexpectedly great significance.

This event gave rise to the famous phrase. A butterfly flapping its wings can cause a typhoon on the other side of the world.. After all, it showed that for Lorenz.

Much has been said and thought about Chaos Theory. However, what it shows us deep down are the limits of our own knowledge. Gaps that science has to face and can solve years from now. Or not, we will never know!

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Source: Tec Mundo

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I'm Blaine Morgan, an experienced journalist and writer with over 8 years of experience in the tech industry. My expertise lies in writing about technology news and trends, covering everything from cutting-edge gadgets to emerging software developments. I've written for several leading publications including Gadget Onus where I am an author.

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