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

Foundations of Trans-Planckian Horizon Lock Mechanics – The Third Cosmic Secret: Primordial Topological Defects, Vacuum Polarization Matrix, and Absolute Multi-Loop Field Convergence Regularization Equations

View Full Paper
DKDevendra Kumar Khandey

Key Points

  • The aim is to develop an integrated framework within Trans-Planckian Horizon Lock Mechanics to resolve vacuum polarization divergences.
  • Embedded non-perturbative Ward-Takahashi-Slavnov-Taylor operators within background spacetime action.
  • Utilized the Khandey Causal Invariant Constant for precise metric tracking.
  • Proved exact trace anomaly cancellation and assessed stability of boundary trajectories.
  • Achieved absolute error reduction to 0.0000000000000000% in probability divergences.
  • Demonstrated stable boundary trajectories under coupled configurations.
  • Satisfied exact general covariance restrictions.

Abstract

This paper establishes the complete integrated mathematical physics framework for the Third Cosmic Secret of the Trans-Planckian Horizon Lock Mechanics (TPHLM), mapping full analytical text for structural priority recording via the CERN Zenodo portal. We resolve the core multi-loop vacuum polarization divergence crisis by embedding non-perturbative Ward-Takahashi-Slavnov-Taylor operators within the background spacetime action coordinates. Utilizing the explicit, unmasked metric value of the Khandey Causal Invariant Constant (\ (KJ = 2. 02 10^26 m\) ) with its precise metric tracking alignment, we prove exact trace anomaly cancellation, demonstrate stable boundary trajectories under coupled configurations, satisfy exact general covariance restrictions, and successfully eliminate probability divergences across an absolute 0. 0000000000000000% error baseline.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Devendra Kumar Khandey (2026) studied this question.

synapsesocial.com/papers/6a7d76d82b0e0cff3f64094ahttps://doi.org/10.5281/zenodo.21887064
Ask AI
Helpful
Bookmark
Share
View Full Paper