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From Fibonacci Numbers to Central Limit Type Theorems
Yinghui Wang(Massachusetts Institute of Technology)
2018-01-01 12:13  华东师范大学

报告题目:From Fibonacci Numbers to Central Limit Type Theorems

报 告 人: Yinghui Wang (Massachusetts Institute of Technology)

时 间:1月12日(星期三)10:00—11:00

地 点:数学楼102报告厅

摘 要:A beautiful theorem of Zeckendorf states that every integer can be
written uniquely as a sum of non-consecutive Fibonacci numbers
{Fn}n=1. Lekkerkerker proved that the average number
of summands for integers in [Fn,Fn+1) is n/(φ2+1),
with φ the golden mean. We prove the following massive
generalization: given nonnegative integers c1,c2,,cL with
c1,cL>0 and recursive sequence {Hn}n=1 with
H1=1, H_{n+1} =c_1H_n+c_2 H_{n-1} + \cdots +c_ _1+1 (1n<L)
and Hn+1=c1Hn+c2Hn1++cLHn+1L (nL),
every positive integer can be written uniquely as aiHi under
natural constraints on the ai's, the mean and the variance of the
numbers of summands for integers in [Hn,Hn+1) are of size
n, and the distribution of the numbers of summands converges to a
Gaussian as n goes to the infinity. Previous approaches were number
theoretic, involving continued fractions, and were limited to results
on existence and, in some cases, the mean. By recasting as a
combinatorial problem and using generating functions and
differentiating identities, we surmount the limitations inherent in
the previous approaches.

Our method generalizes to a multitude of other problems. For example,
every integer can be written uniquely as a sum of the ±Fn's,
such that every two terms of the same (opposite) sign differ in index
by at least 4 (3). We prove similar results as above; for instance,
the distribution of the numbers of positive and negative summands
converges to a bivariate normal with computable, negative correlation,
namely (212φ)/(29+2φ)0.551058.