2017-01-12
[public] 173K views, 6.01K likes, 63.0 dislikes audio only
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In this episode probability mathematics and chess collide. What is the average number of steps it would take before a randomly moving knight returned to its starting square?
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Previous Episode - When Pi is Not 3.14
Mathematician Kelsey Houston-Edwards explains Markov Chains and how they can be used to determine the probability of random chess moves, as well as the likelihood your favorite music will pop up on the radio.
Sources include:
Probability: Theory and Examples
https://www.amazon.com/Probability-Cambridge-Statistical-Probabilistic-Mathematics/dp/0521765390
Markov Chains
https://www.amazon.com/Markov-Cambridge-Statistical-Probabilistic-Mathematics/dp/0521633966
Markov Chains and Mixing Times
http://pages.uoregon.edu/dlevin/MARKOV/markovmixing.pdf
Written and Hosted by Kelsey Houston-Edwards
Produced by Rusty Ward
Graphics by Ray Lux
Made by Kornhaber Brown (www.kornhaberbrown.com)
Comments answered by Kelsey:
Taylor Kinser
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Huy Dinh
/youtube/video/ineO1tIyPfM&lc=z120z5grjojpxrhdo22pfvajgmbux1ved
Funky Tom
/youtube/video/ineO1tIyPfM&lc=z12wzxriwuvrj1ab404ccfm4fzjpgppi15c
Steve’s Mathy Stuff
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