PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 13, 20260 citationsOpen Access

Ontological Stability in Quantum Field Theory

View Full Paper
ZVZoltán Vrencian

Key Points

  • This critique questions the assumption that vacuum fluctuations and particle transformations occur without physical interactions.
  • Identified inconsistencies in the standard fluctuation model.
  • Exposed frame-dependence in vacuum energy regularization violating Lorentz invariance.
  • Distinguished between Feynman path integral results and non-FPI-based extrapolations.
  • Applied reductio ad absurdum to arguments supporting vacuum fluctuations.
  • Highlighted contradictions in prevailing ontological assumptions of QFT.
  • Demonstrated that vacuum and particles do not fluctuate without interactions.
  • Suggests that current models introduce unnecessary complexity.

Abstract

This conceptual critique challenges the ontological assumption of spontaneous vacuum fluctuations and unprompted particle transformations in quantum field theory (QFT). A single postulate is advanced: neither the vacuum nor an isolated elementary particle fluctuates, decays, or transforms in the absence of real physical interaction with another particle. The argument proceeds by: identifying logical and empirical inconsistencies in the standard fluctuation picture, exposing frame-dependence in vacuum energy regularization that violates Lorentz invariance, distinguishing empirically robust Feynman path integral (FPI) results from non-FPI-based extrapolations, applying reductio ad absurdum to key claimed consequences of vacuum fluctuations. The goal is not to construct an alternative model, but to demonstrate that the prevailing ontological commitments lead to internal contradictions and unnecessary complexity.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zoltán Vrencian (2026) studied this question.

synapsesocial.com/papers/69b3ac3f02a1e69014ccdb6bhttps://doi.org/10.5281/zenodo.18969640
Ask AI
Helpful
Bookmark
Share
View Full Paper