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We evaluate the hedging performance of a high-order compact finite difference scheme from [4] for option pricing in Bates model. We compare the scheme's hedging performance to standard finite difference methods in different examples. We…

Computational Finance · Quantitative Finance 2017-10-17 Bertram Düring , Alexander Pitkin

We provide for first order discretizations of the integral fractional Laplacian sharp local error estimates on proper subdomains in both the local $H^1$-norm and the localized energy norm. Our estimates have the form of a local best…

Numerical Analysis · Mathematics 2024-07-25 Markus Faustmann , Michael Karkulik , Jens Markus Melenk

We provide an endpoint stability result for Scott-Zhang type operators in Besov spaces. For globally continuous piecewise polynomials these are bounded from $H^{3/2}$ into $B^{3/2}_{2,\infty}$; for elementwise polynomials these are bounded…

Numerical Analysis · Mathematics 2024-07-25 Markus Faustmann , Jens Markus Melenk , Maryam Parvizi

In the first part of this paper, we establish a conditional optimality result for an adaptive mixed finite element method for the stationary Stokes problem discretized by the standard Taylor-Hood elements, under the assumption of the…

Numerical Analysis · Mathematics 2014-10-14 Tsogtgerel Gantumur

For slowly evolving, discrete-time-dependent systems of difference equations (iterated maps), we believe the simplest means of demonstrating the validity of the averaging method at first order is by way of a lemma that we call Besjes'…

Accelerator Physics · Physics 2007-05-23 Scott Dumas , James A. Ellison , Mathias Vogt

In this paper we obtain some new inhomogeneous Strichartz estimates for the fractional Schr\"odinger equation in the radial case. Then we apply them to the well-posedness theory for the equation $i\partial_{t}u+|\nabla|^{\alpha}u=V(x,t)u$,…

Analysis of PDEs · Mathematics 2015-07-09 Chu-Hee Cho , Youngwoo Koh , Ihyeok Seo

This paper deals with the problem of estimating the level sets $L(c)= \{F(x) \geq c \}$, with $c \in (0,1)$, of an unknown distribution function $F$ on \mathbb{R}^d_+$. A plug-in approach is followed. That is, given a consistent estimator…

Statistics Theory · Mathematics 2012-02-13 Elena Di Bernadino , Thomas Laloë

For a family of second-order elliptic systems in divergence form with rapidly oscillating almost-periodic coefficients, we obtain estimates for approximate correctors in terms of a function that quantifies the almost periodicity of the…

Analysis of PDEs · Mathematics 2015-06-26 Zhongwei Shen

The paper is dedicated to the study of embeddings of the anisotropic Besov spaces $B^{\beta_1,...,beta_n}_{p;\theta_1,...,\theta_n}(\Bbb R^n)$ into Lorentz spaces. We find the sharp asymptotic behaviour of embedding constants when some of…

Functional Analysis · Mathematics 2023-06-27 V. I. Kolyada

This paper is devoted to the study of dispersive estimates for matrix Schr\"odinger equations on the half-line with general boundary condition, and on the line. We prove $L^{p}-L^{p^{\prime}}$ estimates on the half-line for slowly decaying…

Mathematical Physics · Physics 2021-08-31 Ivan Naumkin , Ricardo Weder

We describe a method for the rapid numerical evaluation of the Bessel functions of the first and second kinds of nonnegative real orders and positive arguments. Our algorithm makes use of the well-known observation that although the Bessel…

Numerical Analysis · Mathematics 2017-05-23 James Bremer

We look for the optimal range of Lebesque exponents for which inhomogeneous Strichartz estimates are valid. We show that it is larger than the one given by admissible exponents for homogeneous estimates. We prove inhomogeneous estimates…

Analysis of PDEs · Mathematics 2007-05-23 Damiano Foschi

We prove explicit uniform two-sided bounds for the phase functions of Bessel functions and of their derivatives. As a consequence, we obtain new enclosures for the zeros of Bessel functions and their derivatives in terms of inverse values…

Classical Analysis and ODEs · Mathematics 2024-11-05 Nikolay Filonov , Michael Levitin , Iosif Polterovich , David A. Sher

This paper develops a posteriori error estimates of residual type for conforming and mixed finite element approximations of the fourth order Cahn-Hilliard equation $u_t+\De\bigl(\eps \De u-\eps^{-1} f(u)\bigr)=0$. It is shown that the {\it…

Numerical Analysis · Mathematics 2007-08-17 Xiaobing Feng , Haijun Wu

We consider divergence form, second-order strongly parabolic systems in a cylindrical domain with a finite number of subdomains under the assumption that the interfacial boundaries are $C^{1,\text{Dini}}$ and $C^{\gamma_{0}}$ in the spatial…

Analysis of PDEs · Mathematics 2020-05-19 Hongjie Dong , Longjuan Xu

We establish local $C^{1,\alpha}$ estimates for one source near field refractors under structural assumptions on the target, and with no assumptions on the smoothness of the densities.

Analysis of PDEs · Mathematics 2019-04-05 Cristian E. Gutierrez , Federico Tournier

Dissipative solutions have recently been studied as a generalized concept for weak solutions of the complete Euler system. Apparently, these are expectations of suitable measure-valued solutions. Motivated from [Feireisl, Ghoshal and Jana,…

Analysis of PDEs · Mathematics 2020-05-14 Shyam Sundar Ghoshal , Animesh Jana

For a Lipschitz domain we show that solutions of certain first order systems are unique. This result is then applied to prove a crucial step for showing Korn's first inequality as well as to prove the 'infinitesimal rigid displacement lemma…

Analysis of PDEs · Mathematics 2015-06-11 Johannes Lankeit , Patrizio Neff , Dirk Pauly

We propose an error analysis in weak norms of a shock capturing finite element method for the Burgers' equation. The estimates can be related to estimates of certain filtered quantities and are robust in the inviscid limit. Using a total…

Numerical Analysis · Mathematics 2014-05-09 Erik Burman

We derive a finite-sample probabilistic bound on the parameter estimation error of a system identification algorithm for Linear Switched Systems. The algorithm estimates Markov parameters from a single trajectory and applies a variant of…

Machine Learning · Computer Science 2025-05-19 Daniel Racz , Mihaly Petreczky , Balint Daroczy