Generalized Law of Iterated Logarithm in the Infinite Horizon Lorentz Gas
Explore the behavior of infinite horizon Lorentz gas, focusing on chaotic dynamics, long flights, and non-standard scaling in limit theorems for billiard particle positions.
Averaging Result for Differential Equations Perturbed by a Z-Periodic Lorentz Gas
Explore averaging results for differential equations perturbed by Z-periodic Lorentz gas, examining asymptotic behavior and convergence rates in infinite measure-preserving systems.
Poisson Limit Theorems for Systems with Product Structure
Explore Poisson Limit Theorems for product systems, focusing on return times to small sets and applications to various map combinations, including Anosov and skew products.
Multilevel Monte Carlo Methods for the Dean-Kawasaki Equation from Fluctuating Hydrodynamics
Explore Multilevel Monte Carlo methods for Dean–Kawasaki equation, analyzing efficiency and convergence in stochastic PDEs of Fluctuating Hydrodynamics for many-particle systems.
Homogenisation of Nonlinear Dirichlet Problems in Randomly Perforated Domains
Explore nonlinear Dirichlet problems in randomly perforated domains, focusing on convergence of integral functionals and homogenization in small-perforations limit.
Learning Theory-Informed Priors for Bayesian Inference - A Case Study with Early Dark Energy
Explore novel methods for learning theory-informed priors in Bayesian inference using normalizing flows, with applications to early dark energy models in cosmology.
Frame PB-Groupoid of a VB-Groupoid
Explore properties of special principal bundles, focusing on frames of VB-groupoids and their relation to geometric connections and structures on Lie groupoids.
On Generalised Ricci Flow for Courant Algebroids
Explore generalised Ricci flow for Courant algebroids, delving into advanced mathematical concepts and their applications in physics and geometry.
Invariants of Special Linear Supergroup SL(r|s)
Explore the mathematical intricacies of invariants in the Special Linear Supergroup SL(r|s) with expert insights and advanced theoretical discussions.
Lie Derivative of Linear Connection and Its Applications
Explore the Lie derivative of linear connection and its applications with Frederik Ďalak, gaining insights into advanced mathematical physics concepts.
Jet Functors in Noncommutative Geometry
Explore jet functors in noncommutative geometry, delving into advanced mathematical concepts and their applications in theoretical physics.
Graded Jet Geometry - Part II
Explore advanced concepts in graded jet geometry, building upon foundational knowledge to delve into complex mathematical structures and their applications.
Cubic and Non-cubic Dirac Operators - Applications in Algebraic and Differential Geometry
Explore algebraic Dirac operators, their cohomology, and applications in differential geometry. Delve into Vogan's construction and its generalizations.
Finite Fields and Their Applications
Explore new Mathematica 13.3 features for finite field computations, including arithmetic, mappings, and polynomials. Learn about upcoming linear algebra and equation solving capabilities.
Integral Transforms through Mellin-Barnes Integration
Explore special functions, Mellin-Barnes integration, and integral transforms using advanced computational techniques for math and physical science applications.
Resolution of a Hundred Year Old Problem on Lattice Random Walks and Its Application to Study Inelastic Collisions
Explore a century-old lattice random walk problem and its implications for inefficient diffusion in complex systems.
Generation of Stochastic Trajectories - Applications to Complex Systems
Explore stochastic trajectory generation and its applications in complex systems, focusing on interdisciplinary physics concepts and advanced modeling techniques.
Maximum Lyapunov Exponent for Temporal Networks
Explore the Maximum Lyapunov Exponent concept in temporal networks, delving into complex systems analysis and network dynamics.
Numerical Methods for Quasi-Stationary Distributions
Explore numerical techniques for calculating quasi-stationary distributions in complex systems, enhancing understanding of long-term behavior in stochastic processes.
Likelihood Training of Schrödinger Bridge Using Forward-Backward SDEs Theory
Explore likelihood training of Schrödinger Bridge using Forward-Backward SDEs theory for deep generative modeling, offering mathematical flexibility and optimization principles.
Data-Driven Closure Modeling Using Derivative-free Kalman Methods
Explore data-driven closure modeling for complex dynamical systems using derivative-free Kalman methods. Learn to improve predictions in turbulence and cloud dynamics with advanced machine learning techniques.