Proof, Semiotics, and the Computer: On the Relevance and Limitation of Thought Experiment in Mathematics

Author:

Lenhard JohannesORCID

Abstract

AbstractThis contribution defends two claims. The first is about why thought experiments are so relevant and powerful in mathematics. Heuristics and proof are not strictly and, therefore, the relevance of thought experiments is not contained to heuristics. The main argument is based on a semiotic analysis of how mathematics works with signs. Seen in this way, formal symbols do not eliminate thought experiments (replacing them by something rigorous), but rather provide a new stage for them. The formal world resembles the empirical world in that it calls for exploration and offers surprises. This presents a major reason why thought experiments occur both in empirical sciences and in mathematics. The second claim is about a looming aporia that signals the limitation of thought experiments. This aporia arises when mathematical arguments cease to be fully accessible, thus violating a precondition for experimenting in thought. The contribution focuses on the work of Vladimir Voevodsky (1966–2017, Fields medalist in 2002) who argued that even very pure branches of mathematics cannot avoid inaccessibility of proof. Furthermore, he suggested that computer verification is a feasible path forward, but only if proof is not modeled in terms of formal logic.

Funder

Deutsche Forschungsgemeinschaft

Technische Universität Kaiserslautern

Publisher

Springer Science and Business Media LLC

Subject

Philosophy,Mathematics (miscellaneous)

Reference24 articles.

1. Appel K, Haken W, assisted by Koch J (1977) Every planar map is four colorable. Ill J Math 21(84):429–567

2. Atiyah M et al (1994) Responses to “theoretical mathematics: toward a cultural synthesis of mathematics and theoretical physics” by A. Jaffe and F. Quinn. J Bull Am Math Soc 30(2):178–207

3. Brown, James R, Yiftach F (2022) “Thought experiments”, The stanford encyclopedia of philosophy, Spring 2022 edn. Zalta EN (ed.), https://plato.stanford.edu/archives/spr2022/entries/thought-experiment/

4. Brown, James Robert (2022) This issue

5. Buzzoni, Marco. 2016. Thought experiments and computer simulations. In: Magnani L, Casadio C (eds.) Model-based reasoning in science and technology. logical, epistemological, and cognitive issues. Springer, Heidelberg, New York, pp 57–78

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3