BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Ishrak AlHajj Hassan (University of Ostrava)
DTSTART:20261111T123000Z
DTEND:20261111T133000Z
DTSTAMP:20261109T050631Z
UID:PHK-cohomology-seminar/164
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/PHK-cohomolo
 gy-seminar/164/">Finite-Step Bounds for Iterated Correlation Matrices</a>\
 nby Ishrak AlHajj Hassan (University of Ostrava) as part of Prague-Hradec 
 Kralove seminar Cohomology in algebra\, geometry\, physics and statistics\
 n\n\nAbstract\nIterated Pearson correlation matrices arise from repeatedly
  applying the row–row correlation operator and appear in relational clus
 tering\, network analysis\, and related normalization procedures. Although
  these dynamics are often convergent\, their finite-step behavior remains 
 poorly understood: even along convergent trajectories\, successive update 
 ratios may temporarily exceed one\, producing finite-step expansion phenom
 ena that are not captured by local asymptotic analyses.\n\nIn this talk\, 
 I present a probabilistic framework for studying finite-step behavior in i
 terated correlation dynamics. The approach constructs explicit state-depen
 dent upper bounds for successive contraction ratios conditioned on the cur
 rent normalized step size. These bounds are obtained through nonparametric
  conditional quantile estimation and are validated on large ensembles of r
 andomly initialized trajectories across matrix dimensions ranging from 3 t
 o 2000.\n\nThe results reveal a remarkable empirical dimension-uniformity 
 in the dynamics and yield practical finite-step guarantees. In particular\
 , the analysis identifies a nearly universal contraction threshold: once t
 he normalized step size falls below approximately 0.03\, the next iteratio
 n is contractive with probability at least 0.95 across all tested dimensio
 ns. More broadly\, the work provides the first quantitative finite-step pr
 obabilistic control of iterated Pearson correlation dynamics and suggests 
 new directions toward an analytical theory of nonlinear correlation-matrix
  iterations.\n
LOCATION:https://researchseminars.org/talk/PHK-cohomology-seminar/164/
END:VEVENT
END:VCALENDAR
