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We derive a systematic high-frequency expansion for the effective Hamiltonian and the micromotion operator of periodically driven quantum systems. Our approach is based on the block diagonalization of the quasienergy operator in the…

Quantum Gases · Physics 2015-09-25 André Eckardt , Egidijus Anisimovas

Optimization techniques are at the core of many scientific and engineering disciplines. The steepest descent methods play a foundational role in this area. In this paper we studied a generalized steepest descent method on Riemannian…

Optimization and Control · Mathematics 2025-02-28 Rashid A. , Amal A Samad

The effect of concentration on coil-stretch hysteresis in extensional flows of polymer solutions is examined with insights from Brownian dynamics simulations of isolated chains and scaling theory for non-dilute solutions. In the hysteresis…

Soft Condensed Matter · Physics 2013-02-01 Ranganathan Prabhakar

Distributionally robust optimization (DRO) is a worst-case framework for stochastic optimization under uncertainty that has drawn fast-growing studies in recent years. When the underlying probability distribution is unknown and observed…

Optimization and Control · Mathematics 2021-08-16 Shengyi He , Henry Lam

We introduce a systematic expansion tailored to systems with strong local interactions and capable of computing response functions, including finite DC transport, analytically. The expansion is controlled by a small parameter $s^2$ that…

Strongly Correlated Electrons · Physics 2026-05-20 Pavel A Nosov , Eslam Khalaf , Patrick Ledwith

We study the dynamics of local bond orientation in regular hyperbranched polymers modeled by Vicsek fractals. The local dynamics is investigated through the temporal autocorrelation functions of single bonds and the corresponding relaxation…

Soft Condensed Matter · Physics 2016-07-26 Maxim Dolgushev , Denis A. Markelov , Florian Fürstenberg , Thomas Guérin

Rigorous theories connecting physical properties of a heterogeneous material to its microstructure offer a promising avenue to guide the computational material design and optimization. We present here an efficient Fourier-space based…

Materials Science · Physics 2024-12-13 Wenlong Shi , Yang Jiao , Salvatore Torquato

We show local and cocycle rigidity for $\R^k \times \Z^l$ partially hyperbolic translation actions on homogeneous spaces $\mc G/ \Lambda$. We consider a large class of actions whose geometric properties are more complicated than previously…

Dynamical Systems · Mathematics 2017-05-02 Kurt Vinhage , Zhenqi Jenny Wang

We prove some extension theorems for quaternionic holomorphic functions in the sense of Fueter. Starting from the existence theorem for the nonhomogeneous Cauchy-Riemann-Fueter Problem, we prove that an $\mathbb{H}$-valued function $f$ on a…

Complex Variables · Mathematics 2020-02-27 Marco Maggesi , Donato Pertici , Giuseppe Tomassini

We show the existence of length-constrained expander decomposition in directed graphs and undirected vertex-capacitated graphs. Previously, its existence was shown only in undirected edge-capacitated graphs [Haeupler-R\"acke-Ghaffari, STOC…

Data Structures and Algorithms · Computer Science 2025-04-01 Bernhard Haeupler , Yaowei Long , Thatchaphol Saranurak , Shengzhe Wang

Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for contextual representations across diverse time scales. Here, we…

Signal Processing · Electrical Eng. & Systems 2023-02-21 Hasan Atakan Bedel , Irmak Şıvgın , Onat Dalmaz , Salman Ul Hassan Dar , Tolga Çukur

We strengthen the notion of "double samplers", first introduced by Dinur and Kaufman [Proc. 58th FOCS, 2017], which are samplers with additional combinatorial properties, and whose existence we prove using high dimensional expanders. The…

Computational Complexity · Computer Science 2022-11-24 Irit Dinur , Prahladh Harsha , Tali Kaufman , Inbal Livni Navon , Amnon Ta Shma

We generalize the recently introduced TRILEX approach (TRiply Irreducible Local EXpansion) to superconducting phases. The method treats simultaneously Mott and spin-fluctuation physics using an Eliashberg theory supplemented by local vertex…

Strongly Correlated Electrons · Physics 2017-09-07 Jaksa Vucicevic , Thomas Ayral , Olivier Parcollet

We derive an exact contrast-expansion formalism for the effective conductivity of heterogeneous materials (media) with local properties described by arbitrary continuous random fields, significantly generalizing the widely used binary-field…

Materials Science · Physics 2025-09-11 Liyu Zhong , Sheng Mao

Hyperdimensional computing (HDC) is an increasingly popular computing paradigm with immense potential for future intelligent applications. Although the main ideas already took form in the 1990s, HDC recently gained significant attention,…

Machine Learning · Computer Science 2023-11-15 Pieter Dewulf , Bernard De Baets , Michiel Stock

In this paper some concepts of convex analysis on hyperbolic space are studied. We first study properties of the intrinsic distance, for instance, we present the spectral decomposition of its Hessian. Next, we study the concept of convex…

Optimization and Control · Mathematics 2022-07-13 Orizon Pereira Ferreira , Sándor Zoltán Németh , Jinzhen Zhu

This work consists in applying the analysis of integrable models to study the problem of Hyper-Kahler metrics building. In this context, we use the harmonic superspace language applied to D=2 N=4 SU(2) Liouville self interacting model and…

High Energy Physics - Theory · Physics 2007-05-23 M. Hssaini , M. Kessabi , B. Maroufi , M. B. Sedra

We find a class of four dimensional deformed conformal field theories which appear extra dimensional when their gauge symmetries are spontaneously broken. The theories are supersymmetric moose models which flow to interacting conformal…

High Energy Physics - Theory · Physics 2008-11-26 Joshua Erlich , Jong Anly Tan

Solving bilevel optimization (BLO) problems to global optimality is generally intractable. A common surrogate is to compute a hyper-stationary point -- a stationary point of the hyper-objective function obtained by minimizing or maximizing…

Optimization and Control · Mathematics 2025-10-30 He Chen , Jiajin Li , Anthony Man-Cho So

Learning effective multi-modal 3D representations of objects is essential for numerous applications, such as augmented reality and robotics. Existing methods often rely on task-specific embeddings that are tailored either for semantic…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Gaia Di Lorenzo , Federico Tombari , Marc Pollefeys , Daniel Barath