Tootfinder

Mehr Baseball: Apple nimmt angeblich großem Sender TV-Rechte weg
Abonnenten von TV können bereits am Freitag wichtige Partien der US-Liga Major League Baseball ansehen. Nun will Apple wohl weitere Rechte kaufen.

Elon Musk escalates feud with Trump: 'Time to drop the really big bomb' (Joey Garrison/USA Today)
https://www.usatoday.com/story/news/politics/2025/06/05/elon-musk-trump-bomb-epstein/84054503007/
http://www.memeorandum.com/250605/p125#a250605p125

What do our interns get out of their time here? We asked THEM to tell us.
https://georgiamuseum.org/gmoa_blog/student-employees-and-interns-share-highlights-from-spring-semester/

Been there, done that: NATÜRLICH habe ich in #København auch #Pølser gegessen. Soll ja keiner merken, dass ich Tourist bin.
#food

Steelers signing Aaron Rodgers: Where 4-time MVP ranks among team's QBs since Ben Roethlisberger's retirement

https://www.cbssports.com…

The size of the sync basin resolved
Pablo Groisman, Cecilia De Vita, Juli\'an Fern\'andez Bonder, Yuanzhao Zhang
https://arxiv.org/abs/2506.03419 h…

The size of the sync basin resolved
Sparsely coupled Kuramoto oscillators offer a fertile playground for exploring high-dimensional basins of attraction due to their simple yet multistable dynamics. For $n$ identical Kuramoto oscillators on cycle graphs, it is well known that the only attractors are twisted states, whose phases wind around the circle with a constant gap between neighboring oscillators ($θ_j = 2πq j/n$). It was conjectured in 2006 that basin sizes of these twisted states scale as $e^{-kq^2}$ to the winding numbe…

Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Sara Rutten, Bryan Sumalinab, Oswaldo Gressani, Thomas Neyens, Elisa Duarte, Niel Hens, Christel Faes
https://arxiv.org/abs/2506.04814

Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Distributed lag non-linear models (DLNM) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced data, these models must account for spatial dependence, a challenge that has yet to be thoroughly explored within the penalized DLNM framework. This gap is mainly due to the complex model structure and high computational demands, particularly when dealing with large spatio-temporal datasets. To address this, we propose a…

H\"older continuity of Lyapunov exponents for non-invertible and non-compact random cocycles
Pedro Duarte, Tom\'e Graxinha
https://arxiv.org/abs/2506.04124

Hölder continuity of Lyapunov exponents for non-invertible and non-compact random cocycles
We study the regularity of Lyapunov exponents for random linear cocycles taking values in $\Mat_m(\R)$ and driven by i.i.d. processes. Under three natural conditions - finite exponential moments, a spectral gap between the top two Lyapunov exponents, and quasi-irreducibility of the associated semigroup - we prove that the top Lyapunov exponent is Hölder continuous with respect to the Wasserstein distance. In the final section, we apply the main results to Schrödinger cocycles with unbounded p…

Maximum volume coordinates for Grassmann interpolation: Lagrange, Hermite, and errors
Rasmus Jensen, Ralf Zimmermann
https://arxiv.org/abs/2506.01574 https…

Maximum volume coordinates for Grassmann interpolation: Lagrange, Hermite, and errors
We present a novel approach to Riemannian interpolation on the Grassmann manifold. Instead of relying on the Riemannian normal coordinates, i.e. the Riemannian exponential and logarithm maps, we approach the interpolation problem with an alternative set of local coordinates and corresponding parameterizations. A special property of these coordinates is that their calculation does not require any matrix decompositions. This is a numerical advantage over Riemann normal coordinates and many other …