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We propose a spatial discretization of the fourth-order nonlinear DLSS equation on the circle. Our choice of discretization is motivated by a novel gradient flow formulation with respect to a metric that generalizes martingale transport.…

Analysis of PDEs · Mathematics 2025-02-14 Daniel Matthes , Eva-Maria Rott , Giuseppe Savaré , André Schlichting

Using Weitzenb\"ock techniques on any compact Riemannian spin manifold we derive inequalities that involve a real parameter and join the eigenvalues of the Dirac operator with curvature terms. The discussion of these inequalities yields…

Differential Geometry · Mathematics 2009-11-10 K. -D. Kirchberg

High-order difference operators with the summation-by-parts (SBP) property can be used to build stable discretizations of hyperbolic conservation laws; however, most high-order SBP operators require a conforming, high-order mesh for the…

Numerical Analysis · Mathematics 2025-01-29 Jason Hicken , Ge Yan , Sharanjeet Kaur

In this paper we apply the recently developed mimetic discretization method to the mixed formulation of the Stokes problem in terms of vorticity, velocity and pressure. The mimetic discretization presented in this paper and in [50] is a…

Numerical Analysis · Mathematics 2015-06-03 Jasper Kreeft , Marc Gerritsma

Summation-by-parts (SBP) operators are finite-difference operators that mimic integration by parts. This property can be useful in constructing energy-stable discretizations of partial differential vequations. SBP operators are defined by a…

Numerical Analysis · Mathematics 2015-05-14 Jason E. Hicken , David W. Zingg

The discrete one-dimensional Schr\"odinger operator is studied in the finite interval of length $N=2 M$ with the Dirichlet boundary conditions and an arbitrary potential even with respect to the spacial reflections. It is shown, that the…

Mathematical Physics · Physics 2014-04-18 Sergei B. Rutkevich

Interpolation and smoothing using cubic and generalized splines are fundamental tools in data analysis and statistical modeling. Recently, fast computational algorithms were developed for natural $L$-splines of order four, which arise as…

Numerical Analysis · Mathematics 2026-05-21 O. Kounchev , H. Render , G. Simeonov , Ts. Tsachev

The time-fractional Black-Scholes equation (TFBSE) is intended to price the options for which the underlying price fluctuates within a correlated fractal transmission system. Although the TFBSE is an influential approach for grasping the…

Numerical Analysis · Mathematics 2025-08-12 Nizamudheen V , Riyasudheen TK , Noufal Asharaf , Shefeeq T

Because of the nonlocal properties of fractional operators, higher order schemes play more important role in discretizing fractional derivatives than classical ones. The striking feature is that higher order schemes of fractional…

Numerical Analysis · Mathematics 2014-06-17 Minghua Chen , Weihua Deng

A new differential-recurrence relation for the B-spline functions of the same degree is proved. From this relation, a recursive method of computing the coefficients of B-spline functions of degree $m$ in the Bernstein-B\'{e}zier form is…

Numerical Analysis · Mathematics 2022-10-13 Filip Chudy , Paweł Woźny

Integration over curved manifolds with higher codimension and, separately, discrete variants of continuous operators, have been two important, yet separate themes in harmonic analysis, discrete geometry and analytic number theory research.…

Number Theory · Mathematics 2020-06-18 Theresa C. Anderson , Eyvindur Ari Palsson , Angel V. Kumchev

In this paper we study analogues of the perfect splines for weighted Sobolev classes of functions defined on the half-line. Maximally oscillating splines play important role in the solution of certain extremal problems. In particular, using…

Functional Analysis · Mathematics 2021-12-01 Oleg Kovalenko

In this study, we define discrete fractional Sturm-Liouville (DFSL) operators within Riemann-Liouville and Gr\"unwald-Letnikov fractional operators with both delta and nabla operators. We show selfadjointness of the DFSL operator for the…

Spectral Theory · Mathematics 2017-05-12 Erdal Bas , Ramazan Ozarslan

Given a complex manifold $X$ and a smooth positive function $\eta$ thereon, we perturb the standard differential operator $d=\partial + \bar\partial$ acting on differential forms to a first-order differential operator $D_\eta$ whose…

Differential Geometry · Mathematics 2024-11-21 Dan Popovici

We develop a theory of "special functions" associated to a certain fourth order differential operator $\mathcal{D}_{\mu,\nu}$ on $\mathbb{R}$ depending on two parameters $\mu,\nu$. For integers $\mu,\nu\geq-1$ with $\mu+\nu\in2\mathbb{N}_0$…

Classical Analysis and ODEs · Mathematics 2014-03-19 Joachim Hilgert , Toshiyuki Kobayashi , Gen Mano , Jan Möllers

We give some new criteria for a Hilbert space operator with spectrum on a smooth curve to be similar to a normal operator, in terms of pointwise and integral estimates of the resolvent. These results generalize criteria of Stampfli, Van…

Functional Analysis · Mathematics 2019-08-01 Michael A. Dritschel , Daniel Estévez , Dmitry Yakubovich

High order discretization schemes play more important role in fractional operators than classical ones. This is because usually for classical derivatives the stencil for high order discretization schemes is wider than low order ones; but…

Numerical Analysis · Mathematics 2014-09-05 Minghua Chen , Weihua Deng

The eigenvalues and eigenfunctions of the Stokes operator have been the subject of intense analytical investigation and have applications in the study and simulation of the Navier-Stokes equations. As the Stokes operator is a fourth-order…

Numerical Analysis · Mathematics 2019-04-17 Travis Askham , Manas Rachh

We consider fourth order ordinary differential operator with compactly supported coefficients on the line. We determine asymptotics of the number of resonances in complex discs at large radius. We consider resonances of an Euler-Bernoulli…

Mathematical Physics · Physics 2017-12-14 Andrey Badanin , Evgeny Korotyaev

Data-driven modeling techniques have been explored in the spatial-temporal modeling of complex dynamical systems for many engineering applications. However, a systematic approach is still lacking to leverage the information from different…

Machine Learning · Computer Science 2024-10-15 Chuanqi Chen , Jin-Long Wu