Binder, Bernd (2003) Natural Nonlinear Quantum Units and Human Artificial Linear System of Units. [Preprint]

Preview	PDF planck03.pdf Download (110kB)
Preview	Postscript planck03.ps Download (180kB)

Abstract

Diving into the nonlinear massive range of nuclear physics, the quark model already indicates that the linearized massless length scales break down. Although we are often confronted with nonlinear and relativistic dynamics, we obtain our fundamental values with the classical linear system of units SI by linear extrapolation. Ignoring the correspondent nonlinear relations while extrapolating to the Planck scale h=c=µ=1 based on linear massless relations leads to pseudo-scales equivalent to geometrized mass units. This paper shows that one of the fundamental dimensions length, time, mass becomes redundant approaching the Planck scale. The hidden information can be assigned to a geometrized natural quantum mass unit µ part of the Planck constant h. In other words: c, h, and µ are interrelated.

---

Export/Citation:

EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL

Social Networking:

Share |

---

Item Type:	Preprint
Creators:	Creators Email ORCID Binder, Bernd
Keywords:	SI, Planck, Compton, topological, fundamental, particle, proton, electron, neutron, modes, nonlinear, phase, fine structure, iteration, iterative
Subjects:	Specific Sciences > Physics > Fields and Particles General Issues > Laws of Nature Specific Sciences > Physics > Quantum Mechanics Specific Sciences > Physics > Relativity Theory General Issues > Theory/Observation
Depositing User:	Bernd Binder
Date Deposited:	16 Jan 2003
Last Modified:	07 Oct 2010 15:11
Item ID:	969
Subjects:	Specific Sciences > Physics > Fields and Particles General Issues > Laws of Nature Specific Sciences > Physics > Quantum Mechanics Specific Sciences > Physics > Relativity Theory General Issues > Theory/Observation
Date:	January 2003
URI:	https://philsci-archive.pitt.edu/id/eprint/969

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item