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Monadic second order logic is the expansion of first order logic by quantifiers ranging over unary relations. We study the shared monadic second order theory of finite linear orders, i.e. the pseudofinite monadic second order theory of…

Logic · Mathematics 2021-05-27 Deacon Linkhorn

There are many category-theoretic notions of algebraic theory, including Lawvere theories, monads, PROPs and operads. The first central notion of this thesis is a common generalisation of these, which we call a proto-theory. In order to…

Category Theory · Mathematics 2017-08-04 Tom Avery

Monads in category theory are algebraic structures that can be used to model computational effects in programming languages. We show how the notion of "centre", and more generally "centrality", i.e. the property for an effect to commute…

Logic in Computer Science · Computer Science 2025-10-31 TItouan Carette , Louis Lemonnier , Vladimir Zamdzhiev

In the theory of persistent homology, a well known duality relates the barcodes of the absolute homology and relative cohomology of a one-parameter simplicial filtration. Motivated by the problem of computing free presentations of the…

Commutative Algebra · Mathematics 2026-03-20 Ulrich Bauer , Fabian Lenzen , Michael Lesnick

Modified Newtonian dynamics (MOND) is an alternative theory of gravity that aims to explain large-scale dynamics without recourse to any form of dark matter. However the theory is incomplete, lacking a relativistic counterpart, and so makes…

Astrophysics · Physics 2008-11-26 Daniel J. Mortlock , Edwin L. Turner

We study lax functors between bicategories as a generalized concept of monads and describe generalized notions and theorems of formal monad theory for lax functors. Our first approach is to use the 2-monad whose lax algebras are lax…

Category Theory · Mathematics 2024-09-20 Kengo Hirata

The phenomenology of MOND (flat rotation curves of galaxies, baryonic Tully-Fisher relation, etc.) is a basic set of phenomena relevant to galaxy dynamics and dark matter distribution at galaxy scales. Still unexplained today, it enjoys a…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-19 Luc Blanchet , Laura Bernard

We construct a duality functor on the category of continuous representations of linearly compact Lie superalgebras, using representation theory of Lie conformal superalgebras. We compute the dual representations of the generalized Verma…

Representation Theory · Mathematics 2021-04-16 Nicoletta Cantarini , Fabrizio Caselli , Victor Kac

We prove that every finitely generated convex set of finitely supported probability distributions has a unique base, and use this result to show that the monad of convex sets of probability distributions is presented by the algebraic theory…

Logic in Computer Science · Computer Science 2020-05-05 Filippo Bonchi , Ana Sokolova , Valeria Vignudelli

In this work, we establish certain enrichments of dual algebraic structures in the setting of monoidal double categories. In more detail, we obtain a tensored and cotensored enrichment of monads in comonads, as well as a tensored and…

Category Theory · Mathematics 2025-02-04 Vasileios Aravantinos-Sotiropoulos , Christina Vasilakopoulou

Accounts of semantic phenomena often involve extending types of meanings and revising composition rules at the same time. The concept of monads allows many such accounts -- for intensionality, variable binding, quantification and focus --…

Computation and Language · Computer Science 2007-05-23 Chung-chieh Shan

We present a simple method, based on the deformation of spherically symmetric potentials, to construct explicit axisymmetric and triaxial MOND density-potential pairs. General guidelines to the choice of suitable deformations, so that the…

Astrophysics · Physics 2009-11-13 L. Ciotti , P. Londrillo , C. Nipoti

Credal sets are one of the most important models for describing probabilistic uncertainty. They usually arise as convex sets of probabilistic models compatible with judgments provided in terms of coherent lower previsions or more specific…

Probability · Mathematics 2022-09-28 Damjan Škulj

The paper introduces the notion of a weak bisimulation for coalgebras whose type is a monad satisfying some extra properties. In the first part of the paper we argue that systems with silent moves should be modelled coalgebraically as…

Logic in Computer Science · Computer Science 2017-01-11 Tomasz Brengos

Counterfactual examples have emerged as an effective approach to produce simple and understandable post-hoc explanations. In the context of graph classification, previous work has focused on generating counterfactual explanations by…

Machine Learning · Computer Science 2023-07-28 Carlo Abrate , Giulia Preti , Francesco Bonchi

We develop layered monoidal theories -- a generalisation of monoidal theories combining formal descriptions of a system at different levels of abstraction. Via their representation as string diagrams, monoidal theories provide a graphical…

Logic in Computer Science · Computer Science 2026-02-24 Leo Lobski , Fabio Zanasi

For finitary regular monads T on locally finitely presentable categories we characterize the finitely presentable objects in the category of T-algebras in the style known from general algebra: they are precisely the algebras presentable by…

Category Theory · Mathematics 2019-09-06 Jiří Adámek , Stefan Milius , Lurdes Sousa , Thorsten Wißmann

Over the past two decades the notion of a strong monad has found wide applicability in computing. Arising out of a need to interpret products in computational and semantic settings, different approaches to this concept have arisen. In this…

Programming Languages · Computer Science 2013-09-23 Philip Mulry

This paper proposes a general duality framework for the problem of minimizing a convex integral functional over a space of stochastic processes adapted to a given filtration. The framework unifies many well-known duality frameworks from…

Computational Finance · Quantitative Finance 2010-06-28 Teemu Pennanen

Mixtures of Unigrams are one of the simplest and most efficient tools for clustering textual data, as they assume that documents related to the same topic have similar distributions of terms, naturally described by Multinomials. When the…

Machine Learning · Statistics 2020-12-10 Cinzia Viroli , Laura Anderlucci
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