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This paper aims to present an application of Riemann-Hilbert approach to treat higher-order nonlinear differential equation that is an eighth-order nonlinear Schrodinger equation arising in an optical fiber. Starting from the spectral…

Mathematical Physics · Physics 2018-10-30 Zhou-Zheng Kang , Tie-Cheng Xia

We consider the inverse problem of determining coefficients appearing in semilinear elliptic equations stated on Riemannian manifolds with boundary given the knowledge of the associated Dirichlet-to-Neumann map. We begin with a negative…

Analysis of PDEs · Mathematics 2024-06-18 Ali Feizmohammadi , Yavar Kian , Lauri Oksanen

We consider asymptotics of planar orthogonal polynomials $P_{n,N}$ (where $\mathrm{deg}P_{n,N}=n$) with respect to the weight $$\frac{|z-w|^{2NQ_1}}{(1+|z|^2)^{N(1+Q_0+Q_1)+1}}, \quad(Q_0,Q_1 > 0)$$ in the whole complex plane. With $n,…

Classical Analysis and ODEs · Mathematics 2025-05-21 Sung-Soo Byun , Peter J. Forrester , Arno B. J. Kuijlaars , Sampad Lahiry

In this paper, we consider a class of nonconvex-linear minimax problems on Riemannian manifolds, which find wide applications in machine learning and signal processing. For solving this class of problems, we develop a flexible Riemannian…

Optimization and Control · Mathematics 2026-02-12 Meng Xu , Bo Jiang , Ya-Feng Liu , Anthony Man-Cho So

In this work, we study the Cauchy problem of the Elastic Beam equation with initial value in weighted Sobolev space $H^{1,1}(\mathbb{R})$ via the $\bar{\partial}$-steepset descent method. Begin with the Lax pair of the Elastic Beam…

Analysis of PDEs · Mathematics 2023-09-08 Wei-Qi Peng , Yong Chen

This paper considers optimization problems on Riemannian manifolds and analyzes iteration-complexity for gradient and subgradient methods on manifolds with non-negative curvature. By using tools from the Riemannian convex analysis and…

Numerical Analysis · Mathematics 2016-09-19 G. C. Bento , O. P. Ferreira , J. G. Melo

Adaptive stochastic gradient algorithms in the Euclidean space have attracted much attention lately. Such explorations on Riemannian manifolds, on the other hand, are relatively new, limited, and challenging. This is because of the…

Machine Learning · Computer Science 2019-07-01 Hiroyuki Kasai , Pratik Jawanpuria , Bamdev Mishra

Strong asymptotics of polynomials orthogonal on the unit circle with respect to a weight of the form $$ W(z) = w(z) \prod_{k=1}^m |z-a_k|^{2\beta_k}, \quad |z|=1, \quad |a_k|=1, \quad \beta_k>-1/2, \quad k=1, ..., m, $$ where $w(z)>0$ for…

Classical Analysis and ODEs · Mathematics 2007-05-23 A. Martinez-Finkelshtein , K. T. -R. McLaughlin , E. B. Saff

With no criteria of the index type, it is proved the existence of a solution for the Riemann-Hilbert problem in the fairly general setting of arbitrary Jordan domains, measurable coefficients and measurable boundary data. The theorem is…

Complex Variables · Mathematics 2014-02-12 Vladimir Ryazanov

We consider the problem of minimizing a proper, lower semicontinuous, geodesically convex function on a Hadamard manifold. Building on ball-proximal (broximal) ideas in the Euclidean setting, viewed as an abstract proximal-type algorithm,…

Optimization and Control · Mathematics 2026-05-06 F. Babu , O. P. Ferreira , L. F. Prudente , Jen-Chih Yao , Xiaopeng Zhao

We study the asymptotic behavior of the discrete analogue of the holomorphic map $z^a$. The analysis is based on the use of the Riemann-Hilbert approach. Specifically, using the Deift-Zhou nonlinear steepest descent method we prove the…

Complex Variables · Mathematics 2017-02-22 Alexander I. Bobenko , Alexander Its

Optimization under the symplecticity constraint is an approach for solving various problems in quantum physics and scientific computing. Building on the results that this optimization problem can be transformed into an unconstrained problem…

Optimization and Control · Mathematics 2024-06-21 Bin Gao , Nguyen Thanh Son , Tatjana Stykel

In this article, we present an orthogonal basis expansion method for solving stochastic differential equations with a path-independent solution of the form $X_{t}=\phi(t,W_{t})$. For this purpose, we define a Hilbert space and construct an…

Computation · Statistics 2017-11-13 Rahman Farnoosh , Amirhossein Sobhani , Hamidreza Rezazadeh

We obtain the strong asymptotics of multiple orthogonal polynomials which arise in a mixed type Hermite-Pad\'e approximation problem defined on a Nikishin system of functions. The results obtained allow to give exact estimates of the rate…

Classical Analysis and ODEs · Mathematics 2023-04-11 L. G. González Ricardo , G. López Lagomasino

In this paper the authors show how to use Riemann-Hilbert techniques to prove various results, some old, some new, in the theory of Toeplitz operators and orthogonal polynomials on the unit circle (OPUC's). There are four main results: the…

Functional Analysis · Mathematics 2007-05-23 Percy Deift , Jorgen Ostensson

We study the Cauchy problem for the Korteweg de Vries (KdV) equation with small dispersion and with monotonically increasing initial data using the Riemann-Hilbert (RH) approach. The solution of the Cauchy problem, in the zero dispersion…

Exactly Solvable and Integrable Systems · Physics 2007-05-23 T. Grava

The Riemann problem for first-order hyperbolic systems of partial differential equations is of fundamental importance for both theoretical and numerical purposes. Many approximate solvers have been developed for such systems; exact solution…

Numerical Analysis · Mathematics 2024-02-22 Carlos Muñoz Moncayo , Manuel Quezada de Luna , David I. Ketcheson

We consider the nonlinear Schr\"{o}dinger equation on the half-line $x \geq 0$ with a Robin boundary condition at $x = 0$ and with initial data in the weighted Sobolev space $H^{1,1}(\mathbb{R}_+)$. We prove that there exists a global weak…

Analysis of PDEs · Mathematics 2022-11-01 Jae Min Lee , Jonatan Lenells

Classifying points in high dimensional spaces is a fundamental geometric problem in machine learning. In this paper, we address classifying points in the $d$-dimensional Hilbert polygonal metric. The Hilbert metric is a generalization of…

Computational Geometry · Computer Science 2026-01-21 Aditya Acharya , Auguste H. Gezalyan , David M. Mount

We show that a wide range of overdetermined boundary problems for semilinear equations with position-dependent nonlinearities admits nontrivial solutions. The result holds true both on the Euclidean space and on compact Riemannian…

Analysis of PDEs · Mathematics 2017-11-27 Miguel Dominguez-Vazquez , Alberto Enciso , Daniel Peralta-Salas