Mathematical induction is a recursive technique

R. Drysdale
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引用次数: 2

Abstract

Many students find that proof by induction is one of the most difficult topics in discrete mathematics. Even students who are able to write inductive proofs in a Discrete Mathematics course often find it difficult to write inductive proofs in Data Structures, Algorithms, Theory of Computation, and other computer science courses. Part of the reason for this is that discrete mathematics courses tend to emphasize weak induction over the natural numbers, but strong induction over recursively defined structures is much more useful in computer science. This paper argues that learning and using proof by induction is easier if the recursive nature of proof by induction is made explicit, especially for students familiar with recursion. It can be useful to view an inductive proof as a template for a recursive program that takes a specific instance as a parameter and generates a complete direct proof for that instance. The abstract idea of assuming and invoking an inductive hypothesis is replaced by the concrete idea of making a recursive call to prove a lemma. Viewing induction as a recursive process allows us to give a rule for determining what base cases need to be proved in strong induction and simplifies creating correct inductive proofs.
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数学归纳法是一种递归技术
许多学生发现归纳法证明是离散数学中最困难的题目之一。即使是能够在离散数学课程中写出归纳证明的学生,在数据结构、算法、计算理论和其他计算机科学课程中,也常常发现很难写出归纳证明。部分原因是离散数学课程倾向于强调自然数的弱归纳法,但在计算机科学中,对递归定义结构的强归纳法更有用。本文认为,如果明确归纳证明的递归性质,特别是对熟悉递归的学生来说,学习和使用归纳证明更容易。将归纳证明视为递归程序的模板是有用的,递归程序将特定实例作为参数,并为该实例生成完整的直接证明。假设和调用归纳假设的抽象概念被递归调用来证明引理的具体概念所取代。将归纳法视为递归过程可以让我们给出一个规则,用于确定在强归纳法中需要证明的基本情况,并简化创建正确的归纳法证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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