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@Martin Escardo //
A new approach to defining interval objects in category theory is being explored, focusing on the universal characterization of the Euclidean interval. This research, a collaboration between Martin Escardo and Alex Simpson, aims to establish a definition of interval objects applicable to general categories, capturing both geometrical and computational aspects. The goal is to find a definition that works across diverse categorical settings, allowing for a more abstract and unified understanding of intervals. This work builds upon their previous research, aiming for a broader mathematical foundation for interval objects.

The work by Escardo and Simpson delves into defining arithmetic operations within this abstract framework. Given an interval object [-1,1] in a category with finite products, they demonstrate how to define operations such as negation and multiplication using the universal property of the interval. Negation, denoted as -x, is defined as the unique automorphism that maps -1 to 1 and 1 to -1, ensuring that -(-x) = x. Similarly, multiplication x × (-) is defined as the unique automorphism mapping -1 to -x and 1 to x, resulting in commutative and associative multiplication.

This research has already produced significant results, including two joint papers: "A universal characterization of the closed Euclidean interval (extended abstract)" from LICS 2001 and "Abstract Datatypes for Real Numbers in Type Theory" from RTA/TLCA'2014. A third paper, focused more on the mathematical aspects, is currently in preparation. This work aims to provide a robust and universal characterization of interval objects, impacting both theoretical mathematics and practical applications in computer science and related fields.

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References :
  • www.johndcook.com: A paper about a notion of interval object in any category with finite products, on joint work with Alex Simpson.
  • Martin Escardo: The original post announcing A universal characterization of the closed Euclidean interval.
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Megan Murphy@STATTRAK //
The Causality in Statistics Education Award, established by Judea Pearl, is seeking nominations. This award acknowledges the growing importance of incorporating causal inference into undergraduate and lower-division graduate statistics courses. The award provides a $5,000 cash prize annually, and nominations are due by April 5th. Further details regarding selection criteria and nomination requirements can be found on the American Statistical Association's STATtr@k website.

In other news, the Carnival of Maths 237, which rounds up various mathematics blog posts, is now available online. A mathematics conference organized by DEA SCUOLA is scheduled for secondary school mathematics teachers which aims to enhance mathematics teaching through innovative strategies and the integration of AI. Musically, Day 30 of a practice series features bass drum exercises from Mark Guiliana's book, highlighting complex coordination challenges in alternating snare and bass drum strokes.

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References :
  • STATTRAK: Nominations Sought for Causality in Statistics Education Award
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