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This short note present a "proof" of $P\neq NP$. The "proof" with double quotation marks is to indicate that we do not know whether the proof is correct or not (We're confused because we do know in which we make the mistakes).

Computational Complexity · Computer Science 2021-10-15 Tianrong Lin

We give a direct and elementary proof of the theorem on formal functions by studying the behaviour of the Godement resolution of a sheaf of modules under completion.

Algebraic Geometry · Mathematics 2007-11-29 Fernado Sancho , Pedro Sancho

Mathematical proofs are both paradigms of certainty and some of the most explicitly-justified arguments that we have in the cultural record. Their very explicitness, however, leads to a paradox, because the probability of error grows…

Symbolic Computation · Computer Science 2022-04-13 Scott Viteri , Simon DeDeo

Integrating computation into physics teaching is a curricular move that, at present, has been predominately studied for its cognitive impacts. However, if this modality of instruction shifts how students engage with physics, we argue there…

Physics Education · Physics 2026-01-16 Sarah McHale , Tor Ole B. Odden , Ken Heller

An essential step in the process of developing a physics identity is the opportunity to engage in authentic physics practices - an ideal place to gain these experiences is physics laboratory courses. We are designing a practice-based…

Physics Education · Physics 2019-04-05 Kelsey Funkhouser , Marcos D. Caballero , Paul W. Irving , Vashti Sawtelle

Teaching precise mathematical reasoning can be very hard. It is very easy for a student to make a subtle mistake in a proof which invalidates it, but it is often hard for the teacher to pinpoint and explain the problem in the (often…

Computers and Society · Computer Science 2015-07-15 Marek Materzok

Circular (or cyclic) proofs have received increasing attention in recent years, and have been proposed as an alternative setting for studying (co)inductive reasoning. In particular, now several type systems based on circular reasoning have…

Logic in Computer Science · Computer Science 2025-09-01 Gianluca Curzi , Anupam Das

At the start of the higher education curriculum, the conceptualization of local approximation objects of a function requires the articulation of knowledge and skills from Functional Analysis and Topology. In the study of functions, a number…

History and Overview · Mathematics 2023-10-27 Fatma Belhaj Amor

Many institutions are changing the focus of their introductory physics labs from verifying physics content towards teaching students about the skills and nature of science. As instruction shifts, so too will the ways students approach and…

Physics Education · Physics 2022-07-06 Martin M. Stein , Emily M. Smith , N. G. Holmes

The main aim of this paper is to promote a certain style of doing coinductive proofs, similar to inductive proofs as commonly done by mathematicians. For this purpose, we provide a reasonably direct justification for coinductive proofs…

Logic in Computer Science · Computer Science 2019-05-24 Łukasz Czajka

Foundations of formal languages, as subfield of theoretical computer science, are part of typical upper secondary education curricula. There is very little research on the potential difficulties that students at this level have with this…

Computers and Society · Computer Science 2024-09-24 Marko Schmellenkamp , Dennis Stanglmair , Tilman Michaeli , Thomas Zeume

The use of logical systems for problem-solving may be as diverse as in proving theorems in mathematics or in figuring out how to meet up with a friend. In either case, the problem solving activity is captured by the search for an…

Logic in Computer Science · Computer Science 2023-03-28 Alexander V. Gheorghiu , David J. Pym

Models of physical systems are used to explain and predict experimental results and observations. The Modeling Framework for Experimental Physics describes the process by which physicists revise their models to account for the newly…

Physics Education · Physics 2019-07-05 Laura Ríos , Benjamin Pollard , Dimitri R. Dounas-Frazer , H. J. Lewandowski

This study aims to observe if the theorem prover Lean positively influences students' understanding of mathematical proving. To this end, we perform a pilot study concerning freshmen students at the University of Zurich (UZH). While doing…

History and Overview · Mathematics 2025-01-14 Mattia Luciano Bottoni , Alberto S. Cattaneo , Elif Sacikara

We establish an equivalent condition to the validity of the Collatz conjecture, using elementary methods. We derive some conclusions and show several examples of our results. We also offer a variety of exercises, problems and conjectures.

Dynamical Systems · Mathematics 2007-05-23 Diego Dominici

Proof Blocks is a software tool that provides students with a scaffolded proof-writing experience, allowing them to drag and drop prewritten proof lines into the correct order instead of starting from scratch. In this paper we describe a…

Computers and Society · Computer Science 2022-12-20 Seth Poulsen , Yael Gertner , Benjamin Cosman , Matthew West , Geoffrey L. Herman

In this article we address the problem of automatic answer checking in interactive learning systems that support mathematical notation. This problem consists of the problem of establishing identities in formal mathematical systems and hence…

Other Computer Science · Computer Science 2016-02-02 Vladimir G. Danilov , Ilya S. Turuntaev

The aim of this study is to investigate the decisions and reasoning of undergraduate students when choosing simple measurement instruments in an introductory physics laboratory course. For this study, we have developed a questionnaire and…

Physics Education · Physics 2026-03-18 Micol Alemani , Karel Kok , Eva Philippaki

How does the mathematical community accept that a given proof is correct? Is objective verification based on explicit axioms feasible, or must the reviewer's experiences and prejudices necessarily come into play? Can automated provers avoid…

History and Overview · Mathematics 2023-05-04 Andrew Granville

Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in large language models but treats all correct solutions equally, potentially reinforcing flawed traces that get correct answers by chance. We observe that better…

Machine Learning · Computer Science 2026-03-11 Tiehua Mei , Minxuan Lv , Leiyu Pan , Zhenpeng Su , Hongru Hou , Hengrui Chen , Ao Xu , Deqing Yang