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May 25, 20260 citationsOpen Access

Вирусы В Резонансной Картине ПРОСТРАНСТВА.РАЗРУШЕНИЕ.ПРАКТИКА.

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MMMark Markov

Key Points

  • The aim is to apply resonant principles to virology and understand viral capsid structures.
  • Applied resonant picture of space to studying viruses
  • Analyzed T-numbers and their families
  • Explored frequency characteristics of viral capsids
  • Identified two families of viruses based on resonance: A (spherical) and B (filamentous)
  • Predicted topological inversion threshold at √7 ≈ 2.64575
  • Established a connection between 57 Hz frequency and viral structures

Abstract

This work (Publication №14 of Resonance Group) applies the resonant picture of space to virology, demonstrating that viral capsids are crystallizations of the standing layer pulsating at 57 Hz. The T-numbers (1, 3, 4, 7, 9, 12, 13, 16, 19…) split into two families: Series A (resonant, spherical viruses) and Series B (dissonant, filamentous viruses such as Ebola and Marburg). The transition coefficient between series is √7 ≈ 2.64575, identified as the topological inversion threshold (256 ≡ 0) projected onto the viral scale. The base frequency of the standing layer (57.142857 Hz) and its harmonics determine the natural resonant frequencies of viral capsids. This framework explains why viruses are built according to icosahedral symmetry (Caspar-Klug, 1962) and predicts frequency-based identification methods. No viral destruction protocols are described. The paper provides a theoretical foundation for resonant virology. We have a body of work

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Cite This Study

Mark Markov (2026) studied this question.

synapsesocial.com/papers/6a13e8d20e02ee3982d33615https://doi.org/10.5281/zenodo.20357887
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