Mathematical intuition for Heisenberg Uncertainty Principle | Science Online Course by Udemy

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Why particles can come into existence and then fall back into non-existence

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Mathematical intuition for Heisenberg Uncertainty Principle

This course revolves around the mathematical derivation of Heisenberg Uncertainty Principle. Starting from some intuitive assumptions about probability distributions, we will derive this famous principle (which becomes a theorem starting from the axioms of probability). We will also dedicate some time to the physical insights and implications of this principle, such as the possibility that particles can come into existence and fall back into non-existence. The prerequisites to the course are:-knowledge of what probability distributions are-how to calculate the mean and the variance of a random variable from a probability distribution-the definition of the Fourier Transform and its Inverse Transform-integration by parts and how to take derivatives

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