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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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164328492656 · Jun 202019922001200920172026
48 results for Hamiltonian functions

Arnold-Liouville systems cannot be bi-Hamiltonian generically.

problem The bi-Hamiltonian structure of Arnold-Liouville systems.
method Proving that a specific class of smooth functions is a meagre subset for the Fréchet topology, which implies Arnold-Liouville systems cannot be bi-Hamiltonian.
result Generically, Arnold-Liouville systems cannot be bi-Hamiltonian.

This paper studies the geometry of the group of all co-Hamiltonian diffeomorphisms of a compact cosymplectic manifold (M,ω,η)(M, ω, η). The fix-point theory for co-Hamiltonian diffeomorphisms is studied, and we use Arnold's conjecture to predict the exact minimum number of fix point that such a diffeomorphism must have (thi…

2019-12-29abs ↗pdf ↗

HF-opt uses Hamiltonian dynamics to optimize functions, achieving accelerated rates with randomized integration time.

problem Optimizing functions efficiently and accelerating convergence rates.
method Randomized Hamiltonian flow (RHF) with accelerated convergence rates.
result RHGD achieves accelerated convergence rates similar to Nesterov's AGD.

Motivated by various results on homogeneous geodesics of Riemannian spaces, we study homogeneous trajectories, i.e. trajectories which are orbits of a one-parameter symmetry group, of Lagrangian and Hamiltonian systems. We present criteria under which an orbit of a one-parameter subgroup of a symmetry group G is a solu…

2010-03-07abs ↗pdf ↗

New methods solve min-max problems on manifolds using Riemannian Hamiltonians.

problem Min-max optimization on Riemannian manifolds.
method Riemannian Hamiltonian methods (RHM) to minimize the Hamiltonian function.
result RHM leads to correct search directions and global optimality in min-max problems.

Study on contact Hamiltonian functions for singular contact structures.

problem Understanding infinitesimal contact transformations on singular contact structures.
method Showed injectivity and provided an explicit local formula for the inverse map.
result Explicit local formula for the inverse map when contact structure has singularities of the first type.

The article studies Hamiltonian flows on surface group representations induced by invariant multi-functions.

problem Hamiltonian flows on surface group representations induced by invariant multi-functions.
method Introducing subsurface deformation and proving Poisson commutativity of induced invariant multi-functions.
result Hamiltonian flows on character varieties are of subsurface deformation type and Poisson commute if supporting subsurfaces are disjoint.

Proves local bi-integrability of bi-Hamiltonian systems on real smooth manifolds.

problem Proving local bi-integrability of bi-Hamiltonian systems on real smooth manifolds.
method Proves bi-integrability by constructing a complete set of functions in bi-involution and showing differentials can realize any bi-Lagrangian subspace.
result Bi-Hamiltonian systems are locally bi-integrable on real smooth manifolds.

Study Hamiltonian stationary Lagrangian surfaces in complex space forms.

problem Characterize Lagrangian surfaces with harmonic mean curvature in complex space forms.
method Analyze surfaces with constant and harmonic mean curvature, using second fundamental form parallelism and Gaussian curvature constancy.
result Complete classification of Lagrangian surfaces with harmonic mean curvature and constant Gaussian curvature.

Develops Hamiltonian Score Matching and Generative Flows for machine learning.

problem Estimating score functions and designing generative models.
method Introduces Hamiltonian velocity predictors (HVPs) for score matching and generative flows.
result Hamiltonian Generative Flows (HGFs) rival leading generative modeling techniques.

The paper connects a second order ODE to Sasakian structures and bi-Hamiltonian systems.

problem Defining and analyzing Sasakian structures associated with second order ODEs.
method Defining contact metric structures and Poisson structures, showing compatibility with bi-Hamiltonian systems.
result A compatible bi-Hamiltonian structure for the Reeb vector field is found, and conditions for the vanishing of the first Chern class are derived.

Geodesics of contactomorphisms on a specific manifold are characterized by Hamiltonian functions.

problem Characterizing geodesics of contactomorphisms on a manifold with a standard contact structure.
method Analyzing geodesics defined by different norms on the identity component of the group of contactomorphisms.
result The norm of a geodesic contactomorphism can be expressed in terms of the maximum of the Hamiltonian function.

This work generalizes Hamiltonian mechanics using closed differential forms.

problem Hidden invariants in classical Hamiltonian mechanics.
method Establishes a novel correspondence between generalized Hamiltonian mechanics and multisymplectic geometry.
result Key theorems linking classical and generalized Hamiltonian systems.

Symplectic GP regression models Hamiltonian systems for particle tracing.

problem Efficiently modeling long-term Hamiltonian flow maps for charged particles.
method Multi-output Gaussian process regression with symplectic matrix-valued covariance function.
result Symplectic methods outperform existing approaches in learning Hamiltonian functions.

In this paper, we prove that the two well-known natural normalizations of Hamiltonian functions on the symplectic manifold (M,ω)(M,ω) canonically relates the action spectra of different normalized Hamiltonians on {\it arbitrary} symplectic manifolds (M,ω)(M,ω). The natural class of normalized Hamiltonians consists of those w…

2002-06-10abs ↗pdf ↗

In this paper, we discuss an extension of the Split Hamiltonian Monte Carlo (Split HMC) method for Gaussian process model (GPM). This method is based on splitting the Hamiltonian in a way that allows much of the movement around the state space to be done at low computational cost. To this end, we approximate the negati…

2012-01-19abs ↗pdf ↗

Study Hamiltonian diffeomorphisms on symplectic manifolds and properties of invariant convex functions.

problem Properties of invariant convex functions under Hamiltonian diffeomorphisms.
method Analysis of the adjoint action and properties of invariant convex functions.
result Continuous convex functions invariant under Hamiltonian diffeomorphisms are also invariant under strict rearrangements.

In many Lagrangian field theories one has a Poisson bracket defined on the space of local functionals. We find necessary and sufficient conditions for a transformation on the space of local functionals to be canonical in three different cases. These three cases depend on the specific dimensions of the vector bundle of …

2005-01-21abs ↗pdf ↗

New methods accelerate gradient descent for convex and strongly convex functions.

problem Improving convergence rates of gradient-based optimization methods.
method Formulated two classes of first-order algorithms with Lyapunov analyses and Hamiltonian assisted gradient method.
result Achieved accelerated convergence rates matching Nesterov's methods in strongly and general convex settings.

Smoothness of Hamiltonian stationary submanifolds in symplectic manifolds proven.

problem Smoothness of Hamiltonian stationary Lagrangian submanifolds in symplectic manifolds.
method Developed a regularity theory for fourth order nonlinear elliptic equations with two distributional derivatives.
result Any C1C^{1}-regular Hamiltonian stationary Lagrangian submanifold in a symplectic manifold is smooth.

We consider a {\em Hamiltonian setup} $\sextuple$, where (M,ω)(\mathcal M,ω) is a symplectic manifold, L\mathfrak L is a distribution of Lagrangian subspaces in M\mathcal M, P\mathcal P a Lagrangian submanifold of M \mathcal M, HH is a smooth time dependent Hamiltonian function on M\mathcal M and $Γ:[a,b]\to\mathcal…

1999-11-08abs ↗pdf ↗

Study scattering rigidity for Hamiltonian systems, proving lens rigidity for non-trapping Finsler manifolds.

problem Scattering rigidity for Hamiltonian systems on manifolds with boundary.
method Linearization of travel times, X-ray transform over Hamiltonian curves, Hamiltonian light ray transform.
result Prove semiglobal lens rigidity of non-trapping Finsler manifolds.

The chaotic geodesic flow on a jet space is non-integrable.

problem Non-integrability of the sub-Riemannian geodesic flow on J2(R2,R)J^2(\mathbb{R}^2,\mathbb{R}).
method Analysis of the Hamiltonian geodesic flow on the metabelian Carnot group structure of J2(R2,R)J^2(\mathbb{R}^2,\mathbb{R}).
result The reduced Hamiltonian HμH_μ is non-integrable by meromorphic functions for some values of μμ.

In some previous papers, a geometric description of Lagrangian Mechanics on Lie algebroids has been developed. In the present paper, we give a Hamiltonian description of Mechanics on Lie algebroids. In addition, we introduce the notion of a Lagrangian submanifold of a symplectic Lie algebroid and we prove that the Lagr…

2004-07-30abs ↗pdf ↗

We study Hamiltonian stationary Lagrangian surfaces in C^2, i.e. Lagrangian surfaces in C^2 which are stationary points of the area functional under smooth Hamiltonian variations. Using loop groups, we propose a formulation of the equation as a completely integrable system. We construct a Weierstrass type representatio…

2000-09-22abs ↗pdf ↗

The paper explores the connection between Poisson-Lie structures and invariant volume forms in Hamiltonian dynamics.

problem Understanding the relationship between Poisson-Lie structures and invariant volume forms in Hamiltonian systems.
method Analyzing the existence and preservation of invariant volume forms under Hamiltonian vector fields on Poisson-Lie groups.
result A unimodular Poisson-Lie structure ensures the preservation of a multiple of any left-invariant volume, and the existence of a preserving volume form implies unimodularity.

This paper studies the question of when a loop φφ in the group Symp(M,ω)(M,ω) of symplectomorphisms of a symplectic manifold (M,ω)(M,ω) is isotopic to a loop that is generated by a time-dependent Hamiltonian function. (Loops with this property are said to be Hamiltonian.) Our main result is that Hamiltonian loops are rigid …

1997-10-17abs ↗pdf ↗

We generalize the Lagrangian-Hamiltonian formalism of Skinner and Rusk to higher order field theories on fiber bundles. As a byproduct we solve the long standing problem of defining, in a coordinate free manner, a Hamiltonian formalism for higher order Lagrangian field theories. Namely, our formalism does only depend o…

2009-05-28abs ↗pdf ↗

A smooth counterexample to the Hamiltonian Seifert conjecture for six-dimensional symplectic manifolds is found. In particular, we construct a smooth proper function on the symplectic 2n-dimensional vector space, 2n > 4, such that one of its non-singular level sets carries no periodic orbits of the Hamiltonian flow. Th…

1997-03-09abs ↗pdf ↗

Hamiltonian Monte Carlo on ReLU networks is inefficient due to large local error.

problem Inefficiency of Hamiltonian Monte Carlo on ReLU neural networks.
method Analysis of Hamiltonian Monte Carlo with leapfrog integrator for Bayesian neural network inference.
result Leapfrog HMC for ReLU networks has a large local error rate of Ω(ε)Ω(ε), leading to inefficiency.