通过感应的线段不相交放置概率

Q4 Social Sciences
Christopher Ennis, Inge Helland
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引用次数: 0

摘要

摘要我们对最近的结果给出了一个不同的证明:设有限个n条线段,其长度小于1的线段的和Ln,以其中心在单位区间[0,1]内随机落在实线上。然后,获得这些片段完全在[0,1]范围内互不相交的位置的概率为(1−Ln)n。这里展示的证明使用了线段数量的归纳法,并在归纳法的每个层次上提供了对两种看似不同的放置方法之间关系的洞察:顺序随机放置与同时随机放置。从纯数学的角度来看,这些方法可以看作是等效的。然而,在执行实际片段(如牙签)的同时随机放置的物理约束可能会先验地导致非常不同的结果。作者对审稿人和编辑提出的许多有益建议表示衷心的感谢。这些都大大提高了文章的清晰度和可读性。这里的证明概念是由于IH而解释是由于CE。Christopher Ennis (cjennis10@gmail.com)曾就读于加州大学洛杉矶分校和加州大学伯克利分校。在担任了几个学术职位后,他在诺曼代尔社区学院(Normandale Community College)从事了24年的教学生涯,其中包括担任系主任几年。2016年退休后,他再次抽出时间进行数学研究。Inge Helland (ingeh@math.uio.no)是奥斯陆大学的退休统计学教授。退休后,他花了大部分时间试图从统计学家的角度来理解量子力学的基础。这导致了两本书和几篇文章。但他对休闲数学也有一些兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disjoint Placement Probability of Line Segments via Induction
AbstractWe give a different proof of the following recent result: Let a finite number n of line segments, the sum Ln of whose lengths is less than one, be placed onto the real line in such a way that their centers fall randomly within the unit interval [0,1]. Then the probability of obtaining a mutually disjoint placement of these segments, entirely within [0,1], is given by (1−Ln)n. The proof presented here uses induction on the number of line segments and provides insight, at each level of the induction, into the relationship between two seemingly different methods of placement: sequential random placement versus simultaneous random placement. From a purely mathematical perspective, these methods can be seen as equivalent. However, physical constraints in performing a simultaneous random placement of actual segments (e.g., toothpicks) might a priori lead to very different outcomes. AcknowledgmentThe authors express their sincere appreciation to the referees and the Editor for their many helpful suggestions. These have greatly improved the clarity and readability of the article. The proof concept here is due to IH and the exposition is due to CE.Additional informationNotes on contributorsChristopher Ennis Christopher Ennis (cjennis10@gmail.com) attended UCLA and UC Berkeley. After holding several academic appointments, he settled into a rewarding 24 year teaching career at Normandale Community College, including several years as department chairperson. Retiring in 2016, he has again found time to do mathematical research.Inge Helland Inge Helland (ingeh@math.uio.no) is a retired professor of statistics from the University of Oslo. After retirement he has spent most of his time trying to understand the foundation of quantum mechanics from his point of view as a statistician. This has resulted in two books and several articles. But he also has some interest in recreational mathematics.
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来源期刊
College Mathematics Journal
College Mathematics Journal Social Sciences-Education
CiteScore
0.20
自引率
0.00%
发文量
52
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