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The problem of extrapolating asymptotic perturbation-theory expansions in powers of a small variable to large values of the variable tending to infinity is investigated. The analysis is based on self-similar approximation theory. Several…

Mathematical Physics · Physics 2014-09-08 S. Gluzman , V. I. Yukalov

In this note we briefly survey and propose some open problems related to isoparametric theory.

Differential Geometry · Mathematics 2019-10-29 Jianquan Ge

In this paper we study the consequences of overinterpolation, i.e., the situation when a function can be interpolated by polynomial, or rational, or algebraic functions in more points that normally expected. We show that in many cases such…

Complex Variables · Mathematics 2015-06-26 Dan Coman , Evgeny A. Poletsky

We treat interpolation for various logics.

Logic · Mathematics 2009-07-22 Dov Gabbay , Karl Schlechta

We define extrapolation as any type of statistical inference on a conditional function (e.g., a conditional expectation or conditional quantile) evaluated outside of the support of the conditioning variable. This type of extrapolation…

Methodology · Statistics 2024-06-13 Niklas Pfister , Peter Bühlmann

This article is a primer on concept extrapolation - the ability to take a concept, a feature, or a goal that is defined in one context and extrapolate it safely to a more general context. Concept extrapolation aims to solve model…

Artificial Intelligence · Computer Science 2023-06-21 Matija Franklin , Rebecca Gorman , Hal Ashton , Stuart Armstrong

We bring an abstract model theory perspective to interpolation. We ask, what is the role of interpolation in the study of extensions of first order logic, such as infinitary logics, generalized quantifiers and higher order logics? The…

Logic · Mathematics 2025-07-28 Jouko Väänänen

In this survey article we discuss key open problems which could serve as a guidance for further research directions of multiplicative ideal theory and factorization theory.

Commutative Algebra · Mathematics 2026-03-03 Alfred Geroldinger , Hwankoo Kim , K. Alan Loper

This paper introduces the concept of hyperpolation: a way of generalising from a limited set of data points that is a peer to the more familiar concepts of interpolation and extrapolation. Hyperpolation is the task of estimating the value…

Machine Learning · Computer Science 2024-10-15 Toby Ord

The problem of extrapolating the series in powers of small variables to the region of large variables is addressed. Such a problem is typical of quantum theory and statistical physics. A method of extrapolation is developed based on…

Statistical Mechanics · Physics 2009-11-10 V. I. Yukalov , S. Gluzman

In this paper we study possibilities of interpolation and symbol elimination in extensions of a theory $\mathcal{T}_0$ with additional function symbols whose properties are axiomatised using a set of clauses. We analyze situations in which…

Logic in Computer Science · Computer Science 2023-06-22 Viorica Sofronie-Stokkermans

Extreme value theory provides rigorous theory and statistical tools for extrapolation in machine learning, particularly in settings where traditional methods struggle due to data scarcity in the tails. A broad range of tasks benefit from…

Machine Learning · Statistics 2026-05-05 Sebastian Engelke , Nicola Gnecco , Anne Sabourin

The goal of this paper is twofold; on one hand we wish to present some statements that can be formulated in terms of Interpolation theory which are equivalent to the truth or the falseness of the Riemann Hypothesis, on the other hand we…

Number Theory · Mathematics 2023-12-21 Álvaro Corvalán

The method of extrapolating asymptotic series, based on the Self-Similar Approximation Theory, is developed. Several important questions are answered, which makes the foundation of the method unambiguous and its application straightforward.…

Condensed Matter · Physics 2009-11-07 V. I. Yukalov

Extrapolation -- the ability to make inferences that go beyond the scope of one's experiences -- is a hallmark of human intelligence. By contrast, the generalization exhibited by contemporary neural network algorithms is largely limited to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Taylor W. Webb , Zachary Dulberg , Steven M. Frankland , Alexander A. Petrov , Randall C. O'Reilly , Jonathan D. Cohen

The problem is addressed of defining the values of functions, whose variables tend to infinity, from the knowledge of these functions at asymptotically small variables close to zero. For this purpose, the extrapolation by means of different…

Statistical Mechanics · Physics 2010-10-05 S. Gluzman , V. I. Yukalov

Logical reasoning is essential in a variety of human activities. A representative example of a logical task is mathematics. Recent large-scale models trained on large datasets have been successful in various fields, but their reasoning…

Artificial Intelligence · Computer Science 2022-11-16 Ippei Fujisawa , Ryota Kanai

In this survey article some classical results concerning real interpolation between Hardy spaces are briefly presented and then it is explained how those results can be used to establish Yano-type extrapolation theorems for Hardy spaces.…

Classical Analysis and ODEs · Mathematics 2020-01-28 Odysseas Bakas

The book gives a detailed exposition of basic concepts and results of a theory of processes. The presentation of theoretical concepts and results is accompanied with illustrations of their application to solving various problems of…

Logic in Computer Science · Computer Science 2010-09-14 Andrew M. Mironov

In this paper we study interpolation in local extensions of a base theory. We identify situations in which it is possible to obtain interpolants in a hierarchical manner, by using a prover and a procedure for generating interpolants in the…

Logic in Computer Science · Computer Science 2015-07-01 Viorica Sofronie-Stokkermans
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