Welcome to the Department of Mathematics
Math Catcher June 14, 2013
Veselin Jungic continues his work with his program: Math Catcher: Mathematics through Aboriginal...
Aboriginal Program July 02, 2013
Eavesdropping is supposed to be a no-no, not a life changer, but that’s just what happened for...
Spreading Food Trucks June 05, 2013
Research by Simon Fraser University mathematics students studying the conflict between downtown...
Undergrad Operation Research June 05, 2013
Special congratulations to our undergraduate operations research students, who won both first and...
Case Study for Food Truck May 27, 2013
Congratulations to Benny Wai, Alex Liu, and Lawrence Huen for their paper “Selecting Optimal...
University Course Selection Problem May 27, 2013
Congratulations to Bo Chen, Luheng Wang, Wenjiao Chen, and Xiao Luo for their paper “The University...
Adrian Belshaw, Ph.D. Thesis Defence, Mathematics Room: IRMACS 10908
2:30 PM - 4:30 PM
December 13, 2013(Sr. Supervisor: Peter Borwein) Title: STRONG NORMALITY, MODULAR NORMALITY, AND FLAT POLYNOMIALS: APPLICATIONS OF PROBABILITY IN NUMBER THEORY AND ANALYSIS Abstract: We use probabilistic methods, along with other techniques, to address three topics in number theory and analysis. Champernowne's number is well known to be normal, but the digits are highly patterned. The definition of normality reflects the convergence in frequency of the digits of a random number, but the behaviour of the discrepancy is better described by the law of the iterated logarithm. We use this to define "strong normality," and find that almost all numbers are strongly normal, and strongly normal numbers are normal. However, the base 2 Champernowne number is not strongly normal in the base 2. We use a method of Sierpinski to construct a number strongly normal in every base. Next, we define normality of an integer sequence modulo an integer q; this is a refinement of the existing notion of uniform distribution modulo q. If ? is normal in the base r, the sequence given by the integer part of rn is uniformly distributed modulo every integer q > 1; however, the sequence is normal modulo q if and only if q divides r. This particular sequence does show pseudorandom behaviour modulo every q > r; we define "base-r normality modulo q" to capture this behaviour. The third topic concerns flat polynomials. A sequence of polynomials is "flat" if its values on the unit circle are bounded above and below by absolute constant multiples of p n, where n is the degree. Beck showed that there exist at sequences of polynomials with coefficients that are lth roots of unity, for every l greater than some lower bound. Beck gave a lower bound of 400, but we correct a minor error in his proof and show that this should have been 851. Beck relied on a constant from Spencer's work on the discrepancy of linear forms. We repeat Spencer's calculation, slightly improving the value of his constant and giving a new bound of 492. An improvement of Spencer's method, due to Kai-Uwe Schmidt, allows us to lower the bound to 345.
PIMS-CSC Distinguished Speaker Series - David Levermore
3:30 PM - 4:30 PM
January 10, 2014PIMS-CSC Distinguished Speaker Series Friday, January 1, 2014 IRMACS Theatre 10900 3:30 pm (Pre-talk reception at 3:00 pm) Speaker: David Levermore, University of Maryland Title: tbd Abstract: tbd
PIMS-CSC Distinguished Speaker Series
3:30 PM - 4:30 PM
April 25, 2014PIMS-CSC Distinguished Speaker Series Friday, April 25, 2014 IRMACS Theatre 10900 3:30 pm (Pre-talk reception at 3:00 pm) Speaker: L. Mahadevan, Harvard University Title: tba Abstract: tbd