M
Mark Spivakovsky
Researcher at National Autonomous University of Mexico
Publications - 18
Citations - 198
Mark Spivakovsky is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Conjecture & Social connectedness. The author has an hindex of 7, co-authored 18 publications receiving 188 citations. Previous affiliations of Mark Spivakovsky include University of Toronto & Institut de Mathématiques de Toulouse.
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A new proof of D. Popescu’s theorem on smoothing of ring homomorphisms
TL;DR: In this paper, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in the context of health care, and propose a solution.
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The asymptotic linearity theorem for the study of additivity problems of the zero-point vibrational energy of hydrocarbons and the total pi-electron energy of alternant hydrocarbons
Shigeru Arimoto,Mark Spivakovsky +1 more
TL;DR: In this article, a theoretical framework has been developed which elucidates the mechanism of the additivity relationships between structure and properties in molecules having many identical moieties, by using the approach via the aspect of form and general topology, as well as basic notions of abstract algebra, and the main theorem, the Asymptotic Linearity Theorem (ALT), together with an auxiliary theorem, a Independence Theorem, implies that the zero-point vibrational energy (or total pi-electron energy for the case of alternant hydrocarbons)En of a linearly extended
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Repeat space theory applied to carbon nanotubes and related molecular networks. III
TL;DR: In this paper, the authors apply the Repeat Space Theory (RST) to carbon nanotubes and related molecular networks, and obtain a generalized analytical formula of the pi-electron energy band curves of nanotube with two new complex parameters c and d.
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On connectedness of sets in the real spectra of polynomial rings
TL;DR: The Connectedness conjecture implies the Pierce-Birkhoff conjecture as discussed by the authors, which states that any piecewise polynomial function f on Rn can be obtained from R[x1,..., xn] by iterating the operations of maximum and minimum.