PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 8, 20260 citationsOpen Access

Paper XVI: Newton's Constant as the Brane-Bulk Interface Transmission Coecient

View Full Paper
BJBharathi Jagadeesan

Key Points

  • This research aims to derive Newton's constant G as a transmission coefficient at the brane-bulk interface, exploring its implications in theoretical physics.
  • Derived transmission coefficient from the ratio of bulk curvature to force on a test mass.
  • Analyzed brane thickness in relation to Planck-length and related it to brane-stiffness equation.
  • Predicted coherence radius using G, black hole mass, and a constant parameter.
  • Established a predictive relationship for the coherence radius as a function of G and black hole mass.
  • Demonstrated the unity between brane thickness and Planck length in theoretical frameworks.
  • Highlighted the significance of the hierarchy between electroweak and Planck scales.

Abstract

Newton's constant G is derived as the baseline brane-bulk interface trans- mission coecient: the ratio of the bulk curvature amplitude induced by a unit brane mass to the resulting force on a test mass. The brane thickness equals the Planck length ℓP = p ℏG/c3 this is not a coincidence but a consequence of the brane stiness equation (Paper XXV). The hierarchy between the electroweak scale and the Planck scale Hₕierarchy = Eₙuc/EPl ∼6×1019 is the ratio of the nuclear strong-force closure scale to the brane thickness. The T2* coherence radius rT2* = p GMBH/a0 is derived here as a zero-free-parameter prediction from G, MBH, and a0. The ve-zone black hole structure (Paper V) is embedded in this derivation. Part of the One-Octonion Brane-Bulk Framework series. Anchor DOI: 10. 5281/zenodo. 19120873. Community: one-octonion-brane-bulk. Author: Bharathi Dasan Jagadeesan, M. D. , University of Minnesota. ORCID: 0000-0002-1143-941X.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bharathi Jagadeesan (2026) studied this question.

synapsesocial.com/papers/6a265c1dad53cfb9357c5763https://doi.org/10.5281/zenodo.20564734
Ask AI
Helpful
Bookmark
Share
View Full Paper