Study self-interaction effects on point particle construction in GR.
arXiv research
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MAIN network learns attributes without unseen class attributes for faster, more adaptable ZSL.
The homogeneous canonical formalism of Rund is applied to the second-order Lagrangian model of the self-interacting particle of Bopp. The quasi-classical free spinning particle of Mathisson appears then as a constrained subsystem of the previous system. Differential-geometric mechanisms offered in this work are formula…
We use conformal, but ghostful, Weyl gravity to study its ghost-free, second derivative, partially massless (PM) spin 2 component in presence of Einstein gravity with positive cosmological constant. Specifically, we consider both gravitational- and self- interactions of PM via the fully non-linear factorization of conf…
We study an equation lying `mid-way' between the periodic Hunter-Saxton and Camassa-Holm equations, and which describes evolution of rotators in liquid crystals with external magnetic field and self-interaction. We prove that it is an Euler equation on the diffeomorphism group of the circle corresponding to a natural r…
We introduce cylindrical projections to simulate infinite-dimensional occupation flows of diffusions.
The Stock Market is a complex self-interacting system, characterized by an intermittent behaviour. Periods of high activity alternate with periods of relative calm. In the present work we investigate empirically about the possibility that the market is in a self-organized critical state (SOC). A wavelet transform metho…
In this paper, we study the formal solution space of a nonlinear PDE in a fiber bundle. To this end, we start with foundational material and introduce the notion of a pfd structure to build up a new concept of profinite dimensional manifolds. We show that the infinite jet space of the fiber bundle is a profinite dimens…
Mathematical framework for understanding attention in neural networks.
The paper proves extremal black holes form at a critical point of gravitational collapse.
The paper defines and analyzes higher-order Yang-Mills-Higgs functionals and their gradient flows.
A geometric analysis of protein folding, which complements many of the models in the literature, is presented. We examine the process from unfolded strand to the point where the strand becomes self-interacting. A central question is how it is possible that so many initial configurations proceed to fold to a unique fina…
Optimizes FM model complexity for better feature interaction learning.
A conservative drifting method improves generative modeling by using KDE gradients, proving convergence rates.
The study finds critical points of Yang-Mills-Higgs energy on 3-manifolds.