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Related papers: Differential Equation Invariance Axiomatization

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We prove the completeness of an axiomatization for differential equation invariants. First, we show that the differential equation axioms in differential dynamic logic are complete for all algebraic invariants. Our proof exploits…

Logic in Computer Science · Computer Science 2019-06-12 André Platzer , Yong Kiam Tan

The first part of this paper develops a geometric setting for differential-difference equations that resolves an open question about the extent to which continuous symmetries can depend on discrete independent variables. For general…

Mathematical Physics · Physics 2022-04-26 Linyu Peng , Peter E Hydon

We completely characterize all nonlinear partial differential equations leaving a given finite-dimensional vector space of analytic functions invariant. Existence of an invariant subspace leads to a re duction of the associated dynamical…

solv-int · Physics 2007-05-23 Niky Kamran , Robert Milson , Peter Olver

Building on previous work by Andr\'e Platzer, we present a formal language for Stochastic Differential Dynamic Logic, and define its semantics, axioms and inference rules. Compared to the previous effort, our account of the Stochastic…

Logic in Computer Science · Computer Science 2021-04-30 Michael Roberts , Alexei Kopylov , Aleksey Nogin

This article proves the completeness of an axiomatization for initial value problems (IVPs) with compact initial conditions and compact time horizons for bounded open safety, open liveness and existence properties. Completeness…

Logic in Computer Science · Computer Science 2025-12-03 André Platzer , Long Qian

Invariant conditions for conformable fractional problems of the calculus of variations under the presence of external forces in the dynamics are studied. Depending on the type of transformations considered, different necessary conditions of…

Optimization and Control · Mathematics 2017-04-14 Matheus J. Lazo , Delfim F. M. Torres

The axiomatic theory of ordinary differential equations, owing to its simplicity, can provide a useful framework to describe various generalizations of dynamical systems. In this study, we consider how dynamical properties can be…

Dynamical Systems · Mathematics 2024-02-06 Tomoharu Suda

Random invariant manifolds often provide geometric structures for understanding stochastic dynamics. In this paper, a dynamical approximation estimate is derived for a class of stochastic partial differential equations, by showing that the…

Dynamical Systems · Mathematics 2007-10-08 Wei Wang , Jinqiao Duan

We formalise the well-known rules of partial differentiation in a version of equational logic with function variables and binding constructs. We prove the resulting theory is complete with respect to polynomial interpretations. The proof…

Logic in Computer Science · Computer Science 2020-08-05 Gordon D. Plotkin

This article introduces a relatively complete proof calculus for differential dynamic logic (dL) that is entirely based on uniform substitution, a proof rule that substitutes a formula for a predicate symbol everywhere. Uniform…

Logic in Computer Science · Computer Science 2017-08-17 André Platzer

Covariant-contravariant simulation and conformance simulation generalize plain simulation and try to capture the fact that it is not always the case that "the larger the number of behaviors, the better". We have previously studied their…

Logic in Computer Science · Computer Science 2010-08-13 Ignacio Fábregas , David de Frutos Escrig , Miguel Palomino

We give sound and complete axiomatizations for XPath with data tests by "equality" or "inequality", and containing the single "child" axis. This data-aware logic predicts over data trees, which are tree-like structures whose every node…

Logic in Computer Science · Computer Science 2017-03-14 Sergio Abriola , María Emilia Descotte , Raul Fervari , Santiago Figueira

A new computational method that uses polynomial equations and dynamical systems to evaluate logical propositions is introduced and applied to Goedel's incompleteness theorems. The truth value of a logical formula subject to a set of axioms…

General Mathematics · Mathematics 2011-12-23 Joseph W. Norman

By limiting the range of the predicate variables in a second-order language one may obtain restricted versions of second-order logic such as weak second-order logic or definable subset logic. In this note we provide an infinitary strongly…

Logic · Mathematics 2023-07-11 Guillermo Badia , John Lane Bell

Axiomatizing mathematical structures and theories is an objective of Mathematical Logic. Some axiomatic systems are nowadays mere definitions, such as the axioms of Group Theory; but some systems are much deeper, such as the axioms of…

Logic · Mathematics 2023-05-18 Saeed Salehi

We introduce an generalized action functional describing the equations of motion and the variational equations for any Lagrangian system. Using this novel scheme we are able to generalize Noether's theorem in such a way that to any…

Mathematical Physics · Physics 2016-09-07 C. M. Arizmendi , J. Delgado , H. N. Núñez-Yépez , A. L. Salas-Brito

We establish an equivalence between two seemingly different theories: one is the traditional axiomatisation of incomplete preferences on horse lotteries based on the mixture independence axiom; the other is the theory of desirable gambles…

Artificial Intelligence · Computer Science 2018-01-03 Marco Zaffalon , Enrique Miranda

This paper obtains a completeness result for inequational reasoning with applicative terms without variables in a setting where the intended semantic models are the full structures, the full type hierarchies over preorders for the base…

Logic in Computer Science · Computer Science 2022-02-18 Lawrence S. Moss , Thomas F. Icard

We prove multidimensional integration by parts formulas for generalized fractional derivatives and integrals. The new results allow us to obtain optimality conditions for multidimensional fractional variational problems with Lagrangians…

Mathematical Physics · Physics 2013-10-14 Tatiana Odzijewicz , Agnieszka B. Malinowska , Delfim F. M. Torres

Discovering symbolic differential equations from data uncovers fundamental dynamical laws underlying complex systems. However, existing methods often struggle with the vast search space of equations and may produce equations that violate…

Machine Learning · Computer Science 2026-03-11 Jianke Yang , Manu Bhat , Bryan Hu , Yadi Cao , Nima Dehmamy , Robin Walters , Rose Yu
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