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A symplectic manifold $(M,\omega)$ is called {\em (symplectically) uniruled} if there is a nonzero genus zero GW invariant involving a point constraint. We prove that symplectic uniruledness is invariant under symplectic blow-up and…

Symplectic Geometry · Mathematics 2009-11-11 Jianxun Hu , Tian-Jun Li , Yongbin Ruan

In this paper, we introduce B.-Y. Chen inequalities for Riemannian submersions between Riemannian manifolds. We derive these inequalities for vertical, horizontal, and mixed distributions, establishing relationships between intrinsic…

Differential Geometry · Mathematics 2026-05-20 Ravindra Singh , Mukut Mani Tripathi

The concept of self-similarity on subsets of algebraic varieties is defined by considering algebraic endomorphisms of the variety as `similarity' maps. Self-similar fractals are subsets of algebraic varieties which can be written as a…

Number Theory · Mathematics 2015-04-21 Arash Rastegar

This paper defines a symplectic form on the infinite dimensional Fr\'echet manifold of framed curves of fixed length over a simply connected Riemannian manifold of constant curvature. The paper then considers Hamiltonian systems generated…

Symplectic Geometry · Mathematics 2007-08-10 Velimir Jurdjevic

Hitchin's twistor treatment of Schlesinger's equations is extended to the general isomonodromic deformation problem. It is shown that a generic linear system of ordinary differential equations with gauge group SL(n,C) on a Riemann surface X…

Exactly Solvable and Integrable Systems · Physics 2009-10-31 N. M. J. Woodhouse

In this paper, we provide a simple convergence analysis of proximal gradient algorithm with Bregman distance, which provides a tighter bound than existing result. In particular, for the problem of minimizing a class of convex objective…

Optimization and Control · Mathematics 2017-12-19 Yi Zhou , Yingbin Liang , Lixin Shen

In this article we introduce a new method for constructing implicit symplectic maps using special symplectic manifolds and Liouvillian forms. This method extends, in a natural way, the method of generating functions to 1-forms which are…

Symplectic Geometry · Mathematics 2017-02-21 Hugo Jiménez-Pérez

We show that the averaged equation for a one-frequency fast-oscillating Hamiltonian system is the result of symplectic reduction of a certain natural system on the corresponding $S^1$-bundle with respect to the circle action. Furthermore,…

Mathematical Physics · Physics 2019-11-25 Cheng Yang , Boris Khesin

In this paper, we derive new adjunction inequalities for embedded surfaces with non-negative self-intersection number in four-manifolds. These formulas are proved by using relations between Seiberg-Witten invariants which are induced from…

Differential Geometry · Mathematics 2007-05-23 Peter Ozsvath , Zoltan Szabo

In recent decades, it has been emphasized that the evolving structure of networks may be shaped by interaction principles that yield sparse graphs with a vertex degree distribution exhibiting an algebraic tail, and other structural traits…

Statistical Mechanics · Physics 2025-07-01 Dario Borrelli

We develop a Bregman proximal gradient method for structure learning on linear structural causal models. While the problem is non-convex, has high curvature and is in fact NP-hard, Bregman gradient methods allow us to neutralize at least…

Machine Learning · Statistics 2020-11-06 Manon Romain , Alexandre d'Aspremont

We prove that symplectic cohomology for open convex symplectic manifolds is invariant when the symplectic form undergoes deformations which may be non-exact and non-compactly supported, provided one uses the correct local system of…

Symplectic Geometry · Mathematics 2020-10-01 Gabriele Benedetti , Alexander F. Ritter

A Strong Convergence Theorem for finite families of Bregman Demimetric Mappings in a Banach Space under a New Shrinking projection Method

Functional Analysis · Mathematics 2021-09-07 Bijan Orouji , Ebrahim Soori , Donal O'Regan , Ravi P. Agarwal

We provide a general method for evaluation of the joint range of f-divergences for two different functions f. Via topological arguments we prove that the joint range for general distributions equals the convex hull of the joint range…

Information Theory · Computer Science 2010-05-28 Peter Harremoës , Igor Vajda

In this paper, we obtain some inequalities by using a kernel and an inequality which is a result of Young inequality. Besides we give some applications to special means.

Classical Analysis and ODEs · Mathematics 2012-12-04 M. Emin Ozdemir , Mustafa Gurbuz , Mevlut Tunc

In this paper, the concept of the classical $f$-divergence for a pair of measures is extended to the mixed $f$-divergence for multiple pairs of measures. The mixed $f$-divergence provides a way to measure the difference between multiple…

Probability · Mathematics 2016-06-29 Elisabeth M. Werner , Deping Ye

A transfer matrix function representation of the fundamental solution of the general-type discrete Dirac system, corresponding to rectangular Schur coefficients and Weyl functions, is obtained. Connections with Szeg\"o recurrence, Schur…

Spectral Theory · Mathematics 2016-11-03 B. Fritzsche , B. Kirstein , I. Roitberg , A. L. Sakhnovich

In this work, we present some elementary properties of Segal-Bargmann space and some properties of unitary Segal Bargmann transform with applications to differential operators arising out of diffusion problem or of reggeon field theory.

Mathematical Physics · Physics 2023-09-04 Abdelkader Intissar

In this work we show that we can obtain dual equivalent actions following the symplectic formalism with the introduction of extra variables which enlarge the phase space. We show that the results are equal as the one obtained with the…

High Energy Physics - Theory · Physics 2008-11-26 E. M. C. Abreu , A. C. R. Mendes , C. Neves , W. Oliveira , F. I. Takakura

We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of the underlying Banach norm. We use this inequality in order…

Machine Learning · Statistics 2018-12-11 Gilles Blanchard , Oleksandr Zadorozhnyi
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