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Keywords = vector spaces over ℤ2

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27 pages, 1060 KB  
Article
A New Approach to Understanding Quantum Mechanics: Illustrated Using a Pedagogical Model over ℤ2
by David Ellerman
AppliedMath 2024, 4(2), 468-494; https://doi.org/10.3390/appliedmath4020025 - 9 Apr 2024
Viewed by 2728
Abstract
The new approach to quantum mechanics (QM) is that the mathematics of QM is the linearization of the mathematics of partitions (or equivalence relations) on a set. This paper develops those ideas using vector spaces over the field [...] Read more.
The new approach to quantum mechanics (QM) is that the mathematics of QM is the linearization of the mathematics of partitions (or equivalence relations) on a set. This paper develops those ideas using vector spaces over the field Z2={0.1} as a pedagogical or toy model of (finite-dimensional, non-relativistic) QM. The 0,1-vectors are interpreted as sets, so the model is “quantum mechanics over sets” or QM/Sets. The key notions of partitions on a set are the logical-level notions to model distinctions versus indistinctions, definiteness versus indefiniteness, or distinguishability versus indistinguishability. Those pairs of concepts are the key to understanding the non-classical ‘weirdness’ of QM. The key non-classical notion in QM is the notion of superposition, i.e., the notion of a state that is indefinite between two or more definite- or eigen-states. As Richard Feynman emphasized, all the weirdness of QM is illustrated in the double-slit experiment, so the QM/Sets version of that experiment is used to make the key points. Full article
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15 pages, 312 KB  
Article
A Matrix-Multiplicative Solution for Multi-Dimensional QBD Processes
by Valeriy Naumov
Mathematics 2024, 12(3), 444; https://doi.org/10.3390/math12030444 - 30 Jan 2024
Cited by 1 | Viewed by 1836
Abstract
We consider an irreducible positive-recurrent discrete-time Markov process on the state space X=+M×J, where + is the set of non-negative integers and J={1,2,,n}. The [...] Read more.
We consider an irreducible positive-recurrent discrete-time Markov process on the state space X=+M×J, where + is the set of non-negative integers and J={1,2,,n}. The number of states in J may be either finite or infinite. We assume that the process is a homogeneous quasi-birth-and-death process (QBD). It means that the one-step transition probability between non-boundary states (k,i) and (n,j) may depend on i,j, and nk but not on the specific values of k and n. It is shown that the stationary probability vector of the process is expressed through square matrices of order n, which are the minimal non-negative solutions to nonlinear matrix equations. Full article
(This article belongs to the Special Issue Stochastic Processes: Theory, Simulation and Applications)
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