Chaos Theory – Nitin Nagaraj

Nitin Nagaraj Sir had come down here from Bengalooru and spoke to us about Chaos Theory…
He just finished his talk about this.

Nithin Nagaraj
School of Natural and Engineering Sciences
National Institute of Advanced Studies
IISc. Campus
Bangalore 560 012

Well…I will tell you how this started off…

Yesterday, we had a small discussion on “Purpose of life”. This was given by S. Jagannathan, Faculty Associate, General Management, Amrita School Of Business, Coimbatore.

He told us that the purpose of life is to get happiness.
How by saying happiness, it is the ultimate happinesses and not the joy of getting something that you craved for.
Scientifically/ mathematically, we can prove that the thing you crave for is not the thing getting you happiness.

You can say that you get happiness if :

1. It 1 unit of that thing gives you happiness, the 100 units of the same thing should make you happy.
Eg: If you become happy once you get a chocolate, the 100 of those chocolates also should make you happy!!! But you would be in the hospital once you eat 3 or 4 of those..

2. The happiness should last for ever.
On getting the chocolate, you should be happy always

Well there are a few more things but i dont really remember them.

So what Sir said was about the ULTIMATE happiness of life.

Here Nithin sir also poped into the discussion and we came to know that he was doing research on chaos theory.

And so, we were like curious to know what really this chaos theory is….

I just got this nice piece of info on Chaos Theory from wikipidea

In mathematics and physics, chaos theory describes the behavior of certain nonlinear dynamical systems that may exhibit dynamics that are highly sensitive to initial conditions (popularly referred to as the butterfly effect). As a result of this sensitivity, which manifests itself as an exponential growth of perturbations in the initial conditions, the behavior of chaotic systems appears to be random. This happens even though these systems are deterministic, meaning that their future dynamics are fully defined by their initial conditions, with no random elements involved. This behavior is known as deterministic chaos, or simply chaos.

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