scholarly journals Is the Lorentz Factor a Probability Function in Superfluid Spacetime?

2016 ◽  
Vol 8 (3) ◽  
pp. 1
Author(s):  
Jerome Cantor
Keyword(s):  
Phase Transition ◽  
Porous Media ◽  
Percolation Theory ◽  
Probability Function ◽  
Lorentz Factor ◽  
Normal Fluid ◽  
Random Resistor Network ◽  
Resistor Network ◽  
The Relationship ◽  
Insulating Properties

<p class="1Body">A number of studies indicate that spacetime may have properties resembling that of a superfluid, suggesting that percolation theory may provide a useful approach to studying the relationship between velocity and time. By hypothesizing that the effect described by the Lorentz factor may represent an increase in the viscosity of spacetime, it was possible to model time dilation in terms of the movement of a fluid through porous media. Using a random resistor network to equate superfluid percolation with conductance, it is shown that the Lorentz factor corresponds to a probability function involving the phase transition of the superfluid to a normal fluid with insulating properties.</p>

scholarly journals The Application of Fluid Dynamics to Probability States in Superfluid Spacetime

2018 ◽  
Vol 10 (2) ◽  
pp. 21
Author(s):  
Jerome Cantor
Keyword(s):  
Fluid Dynamics ◽  
Percolation Theory ◽  
Probability Function ◽  
Lorentz Factor ◽  
Relativity Theory ◽  
Fluid Viscosity ◽  
Normal Fluid ◽  
Random Resistor Network ◽  
Resistor Network ◽  
The Relationship

The possibility that spacetime has the characteristics of a superfluid suggests that the relationship between velocity and time may be modeled in terms of percolation theory, where time dilation corresponds to increasing fluid viscosity. By equating superfluid percolation through a porous medium to conductance in a random resistor network, it was previously shown that the Lorentz factor corresponds to a probability function describing a phase transition to normal fluid. The current paper discusses how this novel linkage of momentum, time, and probability may provide a means of resolving conflicts between quantum mechanics and relativity theory.

Numerical Analysis of Two-Phase Pipe Flow of Liquid Helium Using Multi-Fluid Model

2001 ◽  
Vol 123 (4) ◽  
pp. 811-818 ◽  
Author(s):  
Jun Ishimoto ◽  
Mamoru Oike ◽  
Kenjiro Kamijo
Keyword(s):  
Phase Transition ◽  
Gas Phase ◽  
Liquid Helium ◽  
Two Phase Flow ◽  
Fluid Model ◽  
Numerical Results ◽  
Phase Flow ◽  
Two Dimensional ◽  
Two Phase ◽  
Normal Fluid

The two-dimensional characteristics of the vapor-liquid two-phase flow of liquid helium in a pipe are numerically investigated to realize the further development and high performance of new cryogenic engineering applications. First, the governing equations of the two-phase flow of liquid helium based on the unsteady thermal nonequilibrium multi-fluid model are presented and several flow characteristics are numerically calculated, taking into account the effect of superfluidity. Based on the numerical results, the two-dimensional structure of the two-phase flow of liquid helium is shown in detail, and it is also found that the phase transition of the normal fluid to the superfluid and the generation of superfluid counterflow against normal fluid flow are conspicuous in the large gas phase volume fraction region where the liquid to gas phase change actively occurs. Furthermore, it is clarified that the mechanism of the He I to He II phase transition caused by the temperature decrease is due to the deprivation of latent heat for vaporization from the liquid phase. According to these theoretical results, the fundamental characteristics of the cryogenic two-phase flow are predicted. The numerical results obtained should contribute to the realization of advanced cryogenic industrial applications.

Minimum current in the two-component random resistor network

1992 ◽  
Vol 46 (19) ◽  
pp. 12137-12141 ◽  
Author(s):  
K. W. Yu ◽  
P. Y. Tong
Keyword(s):  
Random Resistor Network ◽  
Resistor Network ◽  
Two Component

A (not so) random walk through hydrological space and time

2021 ◽  
Author(s):  
Brian Berkowitz
Keyword(s):  
Random Walk ◽  
Percolation Theory ◽  
Statistical Physics ◽  
Chemical Transport ◽  
Self Organization ◽  
Philosophical Perspective ◽  
Guiding Principle ◽  
Patterns And Processes ◽  
Temporal Measures ◽  
The Relationship

&lt;p&gt;A key philosophical perspective in science is that nature obeys general laws. Identification of these laws involves integration of system conceptualization, observation, experimentation and quantification. This perspective was a guiding principle of John Dalton&amp;#8217;s research as he searched for patterns and common behaviors; he performed a broad range of experiments in chemistry and physics, and he entered over 200,000 observations in his&amp;#160;meteorological diary during a period of 57 years. In this spirit, we examine general concepts based largely on statistical physics &amp;#8211; universality, criticality, self-organization, and the relationship between spatial and temporal measures &amp;#8211; and demonstrate how they meaningfully describe patterns and processes of fluid flow and chemical transport in hydrological systems. We discuss examples that incorporate random walks, percolation theory, fractals, and thermodynamics in analyses of hydrological systems &amp;#8211; aquifers, soil environments and catchments &amp;#8211; to quantify what appear to be universal dynamic behaviors and characterizations.&lt;/p&gt;

Sign in / Sign up

Export Citation Format

Share Document