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Long after Turing's seminal Reaction-Diffusion (RD) model, the elegance of his fundamental equations alleviated much of the skepticism surrounding pattern formation. Though Turing model is a simplification and an idealization, it is one of…

Machine Learning · Computer Science 2020-12-09 Litu Rout

This paper is about computability. I claim the likely existence of a program DoesHalt(Program, Input) such that DoesHalt( HaltsOnItself, AntiSelf ) halts with resounding 'NO'. HaltsOnItself( Program ) is simply DoesHalt( Program, Program ).…

Logic in Computer Science · Computer Science 2018-01-12 X. Y. Newberry

A theory of transformation is presented for the diagonalization of a Hamiltonian that is quadratic in creation and annihilation operators or in coordinates and momenta. It is the systemization and theorization of Dirac and…

Mathematical Physics · Physics 2009-08-07 Ming-wen Xiao

We discuss counting problems linked to finite versions of Cantor's diagonal of infinite tableaux. We extend previous results of [2] by refining an equivalence relation that reduces significantly the exhaustive generation. New enumerative…

Combinatorics · Mathematics 2011-11-29 Srečko Brlek , Jean-Philippe Labbé , Michel Mendès France

Further to a recent controversy on whether the differential transformation method (DTM) for solving a differential equation is purely and solely the traditional Taylor series method, it is emphasized that the DTM is currently used, often…

Mathematical Physics · Physics 2013-04-04 C. Bervillier

We construct an increasing $\omega$-sequence $(a_n)$ of Turing degrees which forms an initial segment of the Turing degrees, and such that each~$a_{n+1}$ is diagonally noncomputable relative to $a_n$. It follows that the~$\mathsf{DNR}$…

Logic · Mathematics 2015-04-14 Mingzhong Cai , Noam Greenberg , Michael McInerney

The classical methods used by recursion theory and formal logic to block paradoxes do not work in quantum information theory. Since quantum information can exist as a coherent superposition of the classical ``yes'' and ``no'' states,…

Quantum Physics · Physics 2016-09-08 Karl Svozil

It is known that there exist mathematical problems of practical relevance which cannot be computed on a Turing machine. An important example is the calculation of the first derivative of continuously differentiable functions. This paper…

Information Theory · Computer Science 2022-05-26 Holger Boche , Volker Pohl

The Turing machine, as it was presented by Turing himself, models the calculations done by a person. This means that we can compute whatever any Turing machine can compute, and therefore we are Turing complete. The question addressed here…

Artificial Intelligence · Computer Science 2016-09-05 Ramón Casares

Two Turing Machines may be able to answer questions about each other that they cannot answer about themselves.

Logic in Computer Science · Computer Science 2016-10-31 Eric Hehner

The Halting problem of a quantum computer is considered. It is shown that if halting of a quantum computer takes place the associated dynamics is described by an irreversible operator.

Quantum Physics · Physics 2015-06-26 A. E. Shalyt-Margolin , V. I. Strazhev , A. Ya. Tregubovich

Ultrafinitism postulates that we can only compute on relatively short objects, and numbers beyond certain value are not available. This approach would also forbid many forms of infinitary reasoning and allow to remove certain paradoxes…

Programming Languages · Computer Science 2024-08-22 Michał J. Gajda

This work analyses the so-called "Relativization Barrier" with respect to the Baker-Gill-Solovay oracle Turing machine. We show that the {\em diagonalization} technique is a valid mathematical proof technique, but it has some prerequisites…

Computational Complexity · Computer Science 2023-11-14 Tianrong Lin

Multiway Turing machines (also known as nondeterministic Turing machines or NDTMs) with explicit, simple rules are studied. Even very simple rules are found to generate complex behavior, characterized by complex multiway graphs, that can be…

Logic in Computer Science · Computer Science 2021-03-09 Stephen Wolfram

We first partly develop a mathematical notion of stable consistency intended to reflect the actual consistency property of human beings. Then we give a generalization of the first and second G\"odel incompleteness theorem to stably…

Logic in Computer Science · Computer Science 2022-08-16 Yasha Savelyev

We propose \textit{DeepMartingale}, a deep-learning framework for the dual formulation of discrete-monitoring optimal stopping problems under continuous-time models. Leveraging a martingale representation, our method implements a…

Optimization and Control · Mathematics 2026-02-27 Junyan Ye , Hoi Ying Wong

Diagonalization in the spirit of Cantor's diagonal arguments is a widely used tool in theoretical computer sciences to obtain structural results about computational problems and complexity classes by indirect proofs. The Uniform…

Computational Complexity · Computer Science 2019-02-22 Friederike Anna Dziemba

With the increasing deployment of machine learning systems in practice, transparency and explainability have become serious issues. Contrastive explanations are considered to be useful and intuitive, in particular when it comes to…

Machine Learning · Computer Science 2021-01-05 André Artelt , Barbara Hammer

Turing patterns on unbounded domains have been widely studied in systems of reaction-diffusion equations. However, up to now, they have not been studied for systems of conservation laws. Here, we (i) derive conditions for Turing instability…

Analysis of PDEs · Mathematics 2018-01-17 Blake Barker , Soyeun Jung , Kevin Zumbrun

Internet supercomputing is an approach to solving partitionable, computation-intensive problems by harnessing the power of a vast number of interconnected computers. This paper presents a new algorithm for the problem of using network…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-07-03 Seda Davtyan , Kishori M. Konwar , Alexander Russell , Alexander A. Shvartsman