108 research outputs found
Discrete Fourier analysis with lattices on planar domains
A discrete Fourier analysis associated with translation lattices is developed
recently by the authors. It permits two lattices, one determining the integral
domain and the other determining the family of exponential functions. Possible
choices of lattices are discussed in the case of lattices that tile \RR^2 and
several new results on cubature and interpolation by trigonometric, as well as
algebraic, polynomials are obtained
Discrete Fourier Analysis and Chebyshev Polynomials with Group
The discrete Fourier analysis on the
-- triangle is deduced from the
corresponding results on the regular hexagon by considering functions invariant
under the group , which leads to the definition of four families
generalized Chebyshev polynomials. The study of these polynomials leads to a
Sturm-Liouville eigenvalue problem that contains two parameters, whose
solutions are analogues of the Jacobi polynomials. Under a concept of
-degree and by introducing a new ordering among monomials, these polynomials
are shown to share properties of the ordinary orthogonal polynomials. In
particular, their common zeros generate cubature rules of Gauss type
Discrete Fourier analysis, Cubature and Interpolation on a Hexagon and a Triangle
Several problems of trigonometric approximation on a hexagon and a triangle
are studied using the discrete Fourier transform and orthogonal polynomials of
two variables. A discrete Fourier analysis on the regular hexagon is developed
in detail, from which the analysis on the triangle is deduced. The results
include cubature formulas and interpolation on these domains. In particular, a
trigonometric Lagrange interpolation on a triangle is shown to satisfy an
explicit compact formula, which is equivalent to the polynomial interpolation
on a planer region bounded by Steiner's hypocycloid. The Lebesgue constant of
the interpolation is shown to be in the order of . Furthermore, a
Gauss cubature is established on the hypocycloid.Comment: 29 page
An efficient and effective nonlinear solver in a parallel software for large scale petroleum reservoir simulation
Abstract. We study a parallel Newton-Krylov-Schwarz (NKS) based algorithm for solving large sparse systems resulting from a fully implicit discretization of partial differential equations arising from petroleum reservoir simulations. Our NKS algorithm is designed by combining an inexact Newton method with a rank-2 updated quasi-Newton method. In order to improve the computational efficiency, both DDM and SPMD parallelism strategies are adopted. The effectiveness of the overall algorithm depends heavily on the performance of the linear preconditioner, which is made of a combination of several preconditioning components including AMG, relaxed ILU, up scaling, additive Schwarz, CRPlike(constraint residual preconditioning), Watts correction, Shur complement
Momentum-resolved electronic structures and strong electronic correlations in graphene-like nitride superconductors
Although transition-metal nitrides have been widely applied for several
decades, experimental investigations of their high-resolution electronic band
structures are rare due to the lack of high-quality single-crystalline samples.
Here, we report on the first momentum-resolved electronic band structures of
titanium nitride (TiN) films, a remarkable nitride superconductor. The
measurements of crystal structures and electrical transport properties
confirmed the high quality of these films. More importantly, with a combination
of high-resolution angle-resolved photoelectron spectroscopy and the
first-principles calculations, the extracted Coulomb interaction strength of
TiN films can be as large as 8.5 eV, whereas resonant photoemission
spectroscopy yields a value of 6.26 eV. These large values of Coulomb
interaction strength indicate that superconducting TiN is a strongly correlated
system. Our results uncover the unexpected electronic correlations in
transition-metal nitrides, potentially providing a perspective not only to
understand their emergent quantum states but also to develop their applications
in quantum devices.Comment: 11 pages, 5 figure
Flexible but Refractory Single-Crystalline Hyperbolic Metamaterials
The fabrication of flexible single-crystalline plasmonic or photonic
components in a scalable way is fundamentally important to flexible electronic
and photonic devices with high speed, high energy efficiency, and high
reliability. However, it remains to be a big challenge so far. Here, we have
successfully synthesized flexible single-crystalline optical hyperbolic
metamaterials by directly depositing refractory nitride superlattices on
flexible fluoro phlogopite-mica substrates with magnetron sputtering.
Interestingly, these flexible hyperbolic metamaterials show dual-band
hyperbolic dispersion of dielectric constants with low dielectric losses and
high figure-of-merit in the visible to near-infrared ranges. More importantly,
the optical properties of these nitride-based flexible hyperbolic metamaterials
show remarkable stability under either heating or bending. Therefore, the
strategy developed in this work offers an easy and scalable route to fabricate
flexible, high-performance, and refractory plasmonic or photonic components,
which can significantly expand the applications of current electronic and
photonic devices.Comment: 15 page
Genome and pan-genome assembly of asparagus bean (Vigna unguiculata ssp. sesquipedialis) reveal the genetic basis of cold adaptation
Asparagus bean (Vigna unguiculata ssp. sesquipedialis) is an important cowpea subspecies. We assembled the genomes of Ningjiang 3 (NJ, 550.31 Mb) and Dubai bean (DB, 564.12 Mb) for comparative genomics analysis. The whole-genome duplication events of DB and NJ occurred at 64.55 and 64.81 Mya, respectively, while the divergence between soybean and Vigna occurred in the Paleogene period. NJ genes underwent positive selection and amplification in response to temperature and abiotic stress. In species-specific gene families, NJ is mainly enriched in response to abiotic stress, while DB is primarily enriched in respiration and photosynthesis. We established the pan-genomes of four accessions (NJ, DB, IT97K-499-35 and Xiabao II) and identified 20,336 (70.5%) core genes present in all the accessions, 6,507 (55.56%) variable genes in two individuals, and 2,004 (6.95%) unique genes. The final pan genome is 616.35 Mb, and the core genome is 399.78 Mb. The variable genes are manifested mainly in stress response functions, ABC transporters, seed storage, and dormancy control. In the pan-genome sequence variation analysis, genes affected by presence/absence variants were enriched in biological processes associated with defense responses, immune system processes, signal transduction, and agronomic traits. The results of the present study provide genetic data that could facilitate efficient asparagus bean genetic improvement, especially in producing cold-adapted asparagus bean
New schemes with fractal error compensation for PDE eigenvalue computations
With an error compensation term in the fractal Rayleigh quotient of PDE eigen-problems, we propose a new scheme by perturbing the mass matrix M (h) to , where K (h) is the corresponding stiff matrix of a 2m - 1 degree conforming finite element with mesh size h for a 2m-order self-adjoint PDE, and the constant C exists in the priority error estimation lambda (j) (h) - lambda (j) similar to Ch (2m) lambda (j) (2) . In particular, for Laplace eigenproblems over regular domains in uniform mesh, e.g., cube, equilateral triangle and regular hexagon, etc., we find the constant and show that in this case the computation accuracy can raise two orders, i.e., from lambda (j) (h) - lambda (j) = O(h (2)) to O(h (4)). Some numerical tests in 2-D and 3-D are given to verify the above arguments.With an error compensation term in the fractal Rayleigh quotient of PDE eigen-problems, we propose a new scheme by perturbing the mass matrix M (h) to , where K (h) is the corresponding stiff matrix of a 2m - 1 degree conforming finite element with mesh size h for a 2m-order self-adjoint PDE, and the constant C exists in the priority error estimation lambda (j) (h) - lambda (j) similar to Ch (2m) lambda (j) (2) . In particular, for Laplace eigenproblems over regular domains in uniform mesh, e.g., cube, equilateral triangle and regular hexagon, etc., we find the constant and show that in this case the computation accuracy can raise two orders, i.e., from lambda (j) (h) - lambda (j) = O(h (2)) to O(h (4)). Some numerical tests in 2-D and 3-D are given to verify the above arguments
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