arXiv:math/9501224math.CA
How many zeros of a random polynomial are real?
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Abstract
We provide an elementary geometric derivation of the Kac integral formula for the expected number of real zeros of a random polynomial with independent standard normally distributed coefficients. We show that the expected number of real zeros is simply the length of the moment curve $(1,t,\ldots,t^n)$ projected onto the surface of the unit sphere, divided by $π$. The probability density of the real zeros is proportional to how fast this curve is traced out. We then relax Kac's assumptions by considering a variety of random sums, series, and distributions, and we also illustrate such ideas as integral geometry and the Fubini-Study metric.
I have installed iJulia -- which involved compiling Julia from source. What little bit I've tried with Julia so far is impressive. What is the story anyway? Did a bunch of MIT people decide they needed something faster than R & numpy ? Julia inventor Alan Edelman is an fellow…
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