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首页> 外文期刊>INTEGERS: electronic journal of Combinatorial Number Theory >GAUSSIAN DISTRIBUTION OF THE NUMBER OF SUMMANDS IN GENERALIZED ZECKENDORF DECOMPOSITIONS IN SMALL INTERVALS
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GAUSSIAN DISTRIBUTION OF THE NUMBER OF SUMMANDS IN GENERALIZED ZECKENDORF DECOMPOSITIONS IN SMALL INTERVALS

机译:高斯分布概念的概要围绕Zeckendorf分解的概念数量小区间隔

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摘要

Zeckendorf’s theorem states that every positive integer can be written uniquely as a sum of non-consecutive Fibonacci numbers Fn, with initial terms F1 = 1, F2 = 2. Previous work proved that as n ! 1 the distribution of the number of summands in the Zeckendorf decompositions of m 2 [Fn, Fn+1), appropriately normalized, converges to the standard normal. The proofs crucially used the fact that all integers in [Fn, Fn+1) share the same potential summands, and hold for more general positivelinear recurrence sequences {Gn}.We generalize these results to subintervals of [Gn, Gn+1) as n ! 1 for certainsequences. The analysis is significantly more involved here as di?erent integers have di?erent sets of potential summands. Explicitly, fix an integer sequence ?(n) ! 1.As n ! 1, for almost all m 2 [Gn, Gn+1) the distribution of the number of summands in the generalized Zeckendorf decompositions of integers in the subintervals[m, m + G?(n)), appropriately normalized, converges to the standard normal. Theproof follows by showing that, with probability tending to 1, m has at least oneappropriately located large gap between indices in its decomposition. We then usea correspondence between this interval and [0, G?(n)) to obtain the result, since thesummands are known to have Gaussian behavior in the latter interval.
机译:Zeckendorf的定理指出,每个正整数都可以单独写入非连续的Fibonacci号码Fn的总和,初始术语F1 = 1,F2 = 2.上一个工作证明是n! 1在Zeckendorf分解中的Sumpands数量的分布为M 2 [Fn,Fn + 1),适当归一成,会聚到标准正常。证据至关重要的是,[fn,fn + 1)中的所有整数共享相同的潜在概括,并保持更一般的实证性复发序列{gn}。我们将这些结果概括为[gn,gn + 1)的子内部n 1对于某些序列。此处的分析在这里有显着涉及,因为di?erent整数有di?更具潜在的潜在概括。显式,修复整数序列?(n)! 1.ñ! 1,对于几乎所有M 2 [Gn,Gn + 1)的分布在子内外Zeckendorf中的概括中的概要分布[m,m + g?(n)),适当归一化,收敛到标准普通的。通过表明,倾斜于1的概率倾向于1,M在其分解中的索引之间至少位于索引之间的差距中至少占用的概率。然后,我们在这种间隔和[0,g?(n)之间的对应,以获得结果,因为已知在后一间隔中具有高斯行为的基因umand。

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