A Simple Continuous Parametrization of the Kasner Indices
Alex Harvey

TL;DR
This paper introduces a continuous parametrization of Kasner indices using trilinear coordinates, allowing for a clear visualization of their variation and a time-dependent expression of the parameter.
Contribution
It presents a novel continuous parametrization of Kasner indices based on trilinear coordinates, enhancing understanding of their variation over time.
Findings
Provides a continuous parameterization of Kasner indices
Enables visualization of index variations
Expresses the parameter as a function of time
Abstract
A parametrization of the Kasner indices in terms of a continuous parameter is constructed by exploiting their representation as trilinear coordinates. This provides a clear picture of their variation through their entire range vis a vis each other. The parameter can be expressed as a function of time.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Neural Networks and Applications
