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Using these conditions we clearly point out that the DCTS algorithm is divergent, the ATS algorithm is divergent almost surely, the WMTS algorithm is mean-square divergent, but the LSTS overcomes all of these divergence conditions.
We then study the invariance properties of these divergence functions as well as the matrix means based on them.
Four of these divergence peaks occur in proximity to genes known to be involved in feather development or pigmentation: agouti signaling protein (ASIP), follistatin (FST), ecodysplasin (EDA), wingless-related integration site (Wnt), and beta-carotene oxygenase 2 (BCO2).
A number of these divergence measures have been widely studied and applied by a number of mathematicians such as Burbea and Rao [2], Havrda and Charvát [3], Lin [4] and others.
First, we studied some of these divergence specific matrices by eye.
We have no basis to question the relative temporal ordering of these divergence estimates.
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For example, there is evidence that the behaviour of health professionals diverges from official norms everywhere, but the extent, frequency and nature of these divergences vary considerably, depending on the context.
Potential sources of these divergences are examined.
The managerial implications of these divergences are discussed.
Recently, some authors rediscovered a few of these divergences and concluded based on their existence alone that the theories cannot be geodesically complete.
By means of a rigorous analysis it is demonstrated that imposing physical conditions implied by the nature of the problem all of these divergences cancel and the final, physical result exhibits expected, regular behavior at infinity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com