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Analyzing magnetohydrodynamic (MHD) flows requires accurate predictions of the Lorentz force and energy conversion. Total energy, cross-helicity, and magnetic helicity can be used to investigate energy conservation properties in inviscid…

Fluid Dynamics · Physics 2024-07-03 Hideki Yanaoka

Via convex integration, we construct weak solutions to the non-resistive electron-MHD system which do not conserve energy and magnetic helicity.

Analysis of PDEs · Mathematics 2019-12-06 Mimi Dai , Han Liu

We suppose: (1) that the ground-state eigenvalue E = F(v) of the Schroedinger Hamiltonian H = -Delta + vf(x) in one dimension is known for all values of the coupling v > 0; and (2) that the potential shape can be expressed in the form f(x)…

Quantum Physics · Physics 2015-06-26 Richard L. Hall

Mercer inequality for convex functions is a variant of Jensen's inequality, with an operator version that is still valid without operator convexity. This paper is two folded. First, we present a Mercer-type inequality for operators without…

Functional Analysis · Mathematics 2020-03-06 H. R. Moradi , S. Furuichi , M. Sababheh

A systematic procedure to derive shell models for MHD turbulence is proposed. It takes into account the conservation of ideal quadratic invariants such as the total energy, the cross-helicity and the magnetic helicity as well as the…

Chaotic Dynamics · Physics 2015-05-13 T. Lessinnes , M. K. Verma , D. Carati

We develop an energy density matrix that parallels the one-body reduced density matrix (1RDM) for many-body quantum systems. Just as the density matrix gives access to the number density and occupation numbers, the energy density matrix…

Strongly Correlated Electrons · Physics 2015-06-22 Jaron T. Krogel , Jeongnim Kim , Fernando A. Reboredo

Modern undergraduate textbooks in electricity and magnetism typically focus on a force representation of electrodynamics with an emphasis on Maxwell's Equations and the Lorentz Force Law. The vector potential $\mathbf{A}$ and scalar…

General Physics · Physics 2008-07-15 T. Stein

The tensor self energy is computed at one loop order in a model in which a vector and tensor interact in a way that eliminates all tensor degrees of freedom. Divergencies arise which cannot be eliminated without introducing a kinetic term…

High Energy Physics - Theory · Physics 2008-11-26 A. Buchel , F. A. Chishtie , M. Gagne-Portelance , S. Homayouni , D. G. McKeon

The Laplace's equations for the scalar and vector potentials describing electric or magnetic fields in cylindrical coordinates with translational invariance along azimuthal coordinate are considered. The series of special functions which,…

Accelerator Physics · Physics 2025-10-21 Timofey Zolkin

We show that both the energy stored and dissipated by a system with hysteretic nonlinearity in an applied field varies with the relative phase of the sinusoidal components of the field, even if the magnitude of these components, and thus an…

Superconductivity · Physics 2016-10-11 Zdenek Janu , Tymofiy Chagovets

Composite functions have been studied for over 40 years and appear in a wide range of optimization problems. Convex analysis of these functions focuses on (i) conditions for convexity of the function based on properties of its components,…

Optimization and Control · Mathematics 2026-01-19 Juan Pablo Vielma

We present several matrix and operator inequalities of Hermite-Hadamard type. We first establish a majorization version for monotone convex functions on matrices. We then utilize the Mond-Pecaric method to get an operator version for convex…

Functional Analysis · Mathematics 2013-04-02 Mohammad Sal Moslehian

We show that certain free energy functionals that are not convex with respect to the usual convex structure on their domain of definition, are strictly convex in the sense of displacement convexity under a natural change of variables. We…

Functional Analysis · Mathematics 2009-11-13 Eric A. Carlen , Maria C. Carvalho , Raffaele Esposito , Joel L. Lebowitz , Rossana Marra

An efficient numerical quadrature is proposed for the approximate calculation of the potential energy in the context of pseudo potential electronic structure calculations with Daubechies wavelet and scaling function basis sets. Our…

Computational Physics · Physics 2009-11-11 A. I. Neelov , S. Goedecker

Orbital advection is a significant bottleneck in disk simulations, and a particularly tricky one when used in connection with magnetohydrodynamics. We have developed an orbital advection algorithm suitable for the induction equation with…

Earth and Planetary Astrophysics · Physics 2017-09-27 Wladimir Lyra , Colin P. McNally , Tobias Heinemann , Frederic Masset

We prove Lieb type convexity and concavity results for trace functionals associated with positive operator monotone (decreasing) functions and certain monotone concave functions. This gives a partial generalization of Hiai's recent work on…

Functional Analysis · Mathematics 2021-06-18 Hans Henrich Neumann , Makoto Yamashita

A formulation of Covariant Canonical Quantization is discussed, which works on an extended Hilbert space and reduces to conventional canonical quantization when constraining to the solution of the field equation a priori. From the formal…

High Energy Physics - Theory · Physics 2021-03-09 P. Liebrich

This work formulates and gives grounds for general principles and theorems that question the energy function doctrine and its quantum version as a genuine law of nature without borders of adequacy. The emphasis is on the domain where the…

General Physics · Physics 2011-09-23 V. E. Shapiro

The existence of a homogeneous decomposition for continuous and epi-translation invariant valuations on super-coercive functions is established. Continuous and epi-translation invariant valuations that are epi-homogeneous of degree $n$ are…

Metric Geometry · Mathematics 2020-05-15 A. Colesanti , M. Ludwig , F. Mussnig

We develop theory and software for rotation equivariant operators on scalar and vector fields, with diverse applications in simulation, optimization and machine learning. Rotation equivariance (covariance) means all fields in the system…

Machine Learning · Computer Science 2022-08-08 Paul Shen , Michael Herbst , Venkat Viswanathan