Differentiation on Interval

IF 1 Q1 MATHEMATICS Formalized Mathematics Pub Date : 2023-09-01 DOI:10.2478/forma-2023-0002
Noboru Endou
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引用次数: 1

Abstract

Summary This article generalizes the differential method on intervals, using the Mizar system [2], [3], [12]. Differentiation of real one-variable functions is introduced in Mizar [13], along standard lines (for interesting survey of formalizations of real analysis in various proof-assistants like ACL2 [11], Isabelle/HOL [10], Coq [4], see [5]), but the differentiable interval is restricted to open intervals. However, when considering the relationship with integration [9], since integration is an operation on a closed interval, it would be convenient for differentiation to be able to handle derivates on a closed interval as well. Regarding differentiability on a closed interval, the right and left differentiability have already been formalized [6], but they are the derivatives at the endpoints of an interval and not demonstrated as a differentiation over intervals. Therefore, in this paper, based on these results, although it is limited to real one-variable functions, we formalize the differentiation on arbitrary intervals and summarize them as various basic propositions. In particular, the chain rule [1] is an important formula in relation to differentiation and integration, extending recent formalized results [7], [8] in the latter field of research.
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区间微分
本文利用Mizar系统[2],[3],[12]推广了区间上的微分方法。实单变量函数的微分在Mizar[13]中被引入,沿着标准的路线(在各种证明辅助中对实分析的形式化进行了有趣的调查,如ACL2 [11], Isabelle/HOL [10], Coq[4],参见[5]),但可微分区间仅限于开区间。然而,当考虑到与积分的关系[9]时,由于积分是在封闭区间上的运算,因此如果微分也能处理封闭区间上的导数,将会很方便。关于闭区间上的可微性,右可微性和左可微性已经形式化了[6],但它们是区间端点处的导数,并没有被证明为区间上的微分。因此,本文在这些结果的基础上,虽然仅限于实单变量函数,但我们将任意区间上的微分形式化,并将其概括为各种基本命题。特别是,链式法则[1]是与微分和积分相关的一个重要公式,扩展了最近在微分和积分研究领域的形式化结果[7],[8]。
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来源期刊
Formalized Mathematics
Formalized Mathematics MATHEMATICS-
自引率
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审稿时长
10 weeks
期刊介绍: Formalized Mathematics is to be issued quarterly and publishes papers which are abstracts of Mizar articles contributed to the Mizar Mathematical Library (MML) - the basis of a knowledge management system for mathematics.
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