Fuchsian holonomic sequences

IF 0.6 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Joris van der Hoeven
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引用次数: 1

Abstract

Many sequences that arise in combinatorics and the analysis of algorithms turn out to be holonomic (note that some authors prefer the terminology D-finite). In this paper, we study various basic algorithmic problems for such sequences $$(f_n)_{n \in {\mathbb {N}}}$$ : how to compute their asymptotics for large n? How to evaluate $$f_n$$ efficiently for large n and/or large precisions p? How to decide whether $$f_n > 0$$ for all n? We restrict our study to the case when the generating function $$f = \sum _{n \in {\mathbb {N}}} f_n z^n$$ satisfies a Fuchsian differential equation (often it suffices that the dominant singularities of f be Fuchsian). Even in this special case, some of the above questions are related to long-standing problems in number theory. We will present algorithms that work in many cases and we carefully analyze what kind of oracles or conjectures are needed to tackle the more difficult cases.

Abstract Image

Fuchsian完整序列
在组合学和算法分析中出现的许多序列被证明是完整的(注意一些作者更喜欢术语D-finite)。在本文中,我们研究了这类序列的各种基本算法问题$$(f_n)_{n \in {\mathbb {N}}}$$:如何计算大n时的渐近值?如何有效地评估$$f_n$$大n和/或大精度p?如何决定是否$$f_n > 0$$对所有n?我们将研究限制在生成函数$$f = \sum _{n \in {\mathbb {N}}} f_n z^n$$满足Fuchsian微分方程的情况下(通常f的优势奇点是Fuchsian就足够了)。即使在这种特殊情况下,上述一些问题也与数论中长期存在的问题有关。我们将展示在许多情况下有效的算法,并仔细分析需要什么样的预言或猜想来解决更困难的情况。
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来源期刊
Applicable Algebra in Engineering Communication and Computing
Applicable Algebra in Engineering Communication and Computing 工程技术-计算机:跨学科应用
CiteScore
2.90
自引率
14.30%
发文量
48
审稿时长
>12 weeks
期刊介绍: Algebra is a common language for many scientific domains. In developing this language mathematicians prove theorems and design methods which demonstrate the applicability of algebra. Using this language scientists in many fields find algebra indispensable to create methods, techniques and tools to solve their specific problems. Applicable Algebra in Engineering, Communication and Computing will publish mathematically rigorous, original research papers reporting on algebraic methods and techniques relevant to all domains concerned with computers, intelligent systems and communications. Its scope includes, but is not limited to, vision, robotics, system design, fault tolerance and dependability of systems, VLSI technology, signal processing, signal theory, coding, error control techniques, cryptography, protocol specification, networks, software engineering, arithmetics, algorithms, complexity, computer algebra, programming languages, logic and functional programming, algebraic specification, term rewriting systems, theorem proving, graphics, modeling, knowledge engineering, expert systems, and artificial intelligence methodology. Purely theoretical papers will not primarily be sought, but papers dealing with problems in such domains as commutative or non-commutative algebra, group theory, field theory, or real algebraic geometry, which are of interest for applications in the above mentioned fields are relevant for this journal. On the practical side, technology and know-how transfer papers from engineering which either stimulate or illustrate research in applicable algebra are within the scope of the journal.
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