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Friday, April 03, 2009

Maths in the movies and more

If you've been following Plus coverage on maths in the movies and theatre, and happen to find yourself in Edinburgh next week, then check out the Edinburgh International Science Festival's movie season and complementary talks. The themed season looks at the way mathematicians are represented in different kinds of narrative: pure fiction, fictionalised real life and documentary. The pure fiction offering is The Oxford Murders, starring John Hurt and Elijah Wood, screened on April the 7th. The Hollywood retelling of the story of maths students taking on the Las Vegas casinos is the second film, 21. It stars Kevin Spacey and is screened on the 9th of April. The season concludes on the 16th of April with the documentary N is a number, a film portrait of Paul Erdös. This screening will be followed by an audience and panel discussion.

To complement the film theme, on the 14th of April Academy Award winner David Baraff of Pixar Animation Studios will be giving a talk on the role of mathematical modelling in computer animation, illustrated with clips and computer graphics. There will also be a screening of Pixar's Oscar winning tale of a French rat's ambition to be a chef, Ratatouille. David Baraff will give a special introduction to the film at Filmhouse Cinema earlier that afternoon.

And if you prefer live entertainment to film, you could head for Allen Knutson's presentation on the relationship between mathematics and juggling. By mathematically analysing the process of juggling, Knutson, of Cornell University, found it was possible to discover new tricks that may never have come to light otherwise. This promises to be a most entertaining event as Allen demonstrates the principles involved using his dazzling juggling skills. The event takes place early in the evening of 14 April.

1 Comments:

At 6:02 PM, Anonymous Peter Morgan said...

For the juggling, Allen Knutson has this nice PDF on juggling, http://math.ucsd.edu/~allenk/Roma2008/r.pdf, which starts out easy, gradually getting to be harder and harder math. It gives a little insight into how a mathematician approaches things.

 

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