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We consider the continuous-time presentation of the strand symmetric phylogenetic substitution model (in which rate parameters are unchanged under nucleotide permutations given by Watson-Crick base conjugation). Algebraic analysis of the model's underlying structure as a matrix group leads to a change of basis where the rate generator matrix is given by a two-part block decomposition. We apply representation theoretic techniques and, for any (fixed) number of phylogenetic taxa L and polynomial degree D of interest, provide the means to classify and enumerate the associated Markov invariants. In particular, in the quadratic and cubic cases we prove there are precisely [Formula: see text] and [Formula: see text] linearly independent Markov invariants, respectively. Additionally, we give the explicit polynomial forms of the Markov invariants for (i) the quadratic case with any number of taxa L, and (ii) the cubic case in the special case of a three-taxon phylogenetic tree. We close by showing our results are of practical interest since the quadratic Markov invariants provide independent estimates of phylogenetic distances based on (i) substitution rates within Watson-Crick conjugate pairs, and (ii) substitution rates across conjugate base pairs.
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http://dx.doi.org/10.1007/s00285-015-0951-7 | DOI Listing |
Mach Learn Med Imaging
October 2024
Martinos Center for Biomedical Imaging, MGH & Harvard Medical School.
Parcellation of mesh models for cortical analysis is a central problem in neuroimaging. Most classical and deep learning methods have requisites in terms of mesh topology, requiring inputs that are homeomorphic to a sphere (i.e.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
Université de Lorraine, CNRS, CRAN, 54000 Nancy, France.
Robust stability/stabilization for discrete-time time-varying Markovian jump linear systems subject to block-diagonal stochastic parameter perturbations is addressed in this paper. Using a scaling technique, we succeed in effectively addressing the multi-perturbations case. We obtain an estimation of the lower bound of the stability radius in terms of the unique bounded and positive semidefinite solutions of adequately defined backward Lyapunov difference equations.
View Article and Find Full Text PDFPsychometrika
August 2025
Department of Educational Psychology, https://ror.org/00hj54h04University of Texas at Austin, Austin, TX, USA.
The latent Markov model (LMM) has been increasingly used to analyze log data from computer-interactive assessments. An important consideration in applying the LMM to assessment data is measurement effects of items. In educational and psychological assessment, items exhibit distinct psychometric qualities and induce systematic variance to assessment outcome data.
View Article and Find Full Text PDFR Soc Open Sci
August 2025
School of Mathematics and Maxwell Institute for Mathematical Sciences, Edinburgh University, Edinburgh, UK.
Let be the Markov quiver, and let be an infinitely mutable potential for . We calculate some low-degree refined Bogomol'nyi-Prasad-Sommerfield (BPS) invariants for the resulting Jacobi algebra and use them to show that the critical cohomological Hall algebra is not necessarily spherically generated and is not independent of the choice of infinitely mutable potential . This leads to a counterexample to a conjecture of Gaiotto .
View Article and Find Full Text PDFEntropy (Basel)
July 2025
Independent Researcher, Sacramento, CA 95814, USA.
We develop a symmetry-based variational theory that shows the coarse-grained balance of work inflow to heat outflow in a driven, dissipative system relaxed to the golden ratio. Two order-2 Möbius transformations-a self-dual flip and a self-similar shift-generate a discrete non-abelian subgroup of PGL(2,Q(5)). Requiring any smooth, strictly convex Lyapunov functional to be invariant under both maps enforces a single non-equilibrium fixed point: the golden mean.
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