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arXiv research

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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56113169225 · May 202619922001200920172026
48 results for Monotone operators

Proves monotonicity of parabolic frequency on all manifolds without curvature assumptions.

problem Monotonicity of parabolic frequency on manifolds.
method Analyzes parabolic frequency function on manifolds, proving monotonicity without curvature assumptions.
result Monotonicity of parabolic frequency on all manifolds, no curvature assumption needed.

New methods solve MI problems with locally Lipschitz operators, improving solution efficiency.

problem Solving monotone inclusions with locally Lipschitz continuous operators.
method Primal-dual extrapolation methods using backtracking line search.
result Improved operation complexity for solving MI problems.

In this expository article, we discuss various monotonicity formulas for parabolic and elliptic operators and explain how the analysis of the function spaces and the geometry of the underlining spaces are intertwined. After briefly discussing some of the well-known analytical applications of monotonicity for parabolic …

2012-05-30abs ↗pdf ↗

Study solves optimal portfolio selection using HJB equation.

problem Optimal portfolio selection problem.
method Maximal monotone operator method, Banach fixed-point theorem, Fourier transform, monotone operators technique.
result Existence and uniqueness of solution to HJB equation.

New algorithms solve monotone inclusions and convex-concave minimax problems.

problem Solving maximally monotone equations and inclusions.
method Developed new accelerated algorithms based on Halpern-type fixed-point iteration and Popov's past extra-gradient method.
result Achieved O(1/k)\mathcal{O}(1/k) convergence rates for various problems.

A new stochastic primal--dual algorithm for solving a composite optimization problem is proposed. It is assumed that all the functions/operators that enter the optimization problem are given as statistical expectations. These expectations are unknown but revealed across time through i.i.d. realizations. The proposed al…

2019-01-23abs ↗pdf ↗

In this work we generalise various recent results on the evolution and monotonicity of the eigenvalues of certain geometric operators under specified geometric flows. Given a closed, compact Riemannian manifold (Mn,g(t))\big(M^n,g(t)\big) and a smooth function ηC(M)η\in C^{\infty}(M) we consider the family of operators $\mathbb{…

2017-06-19abs ↗pdf ↗

Non-affine aggregation rules cannot preserve monotonicity in convex learning.

problem Designing non-affine aggregation rules that maintain monotonicity in convex learning.
method Proving that monotonicity of aggregated gradients is preserved only if the aggregation rule is positively affine.
result Non-affine aggregation prevents steady convergence and substantially degrades algorithmic stability.

In this paper, we mainly investigate continuity, monotonicity and differentiability for the first eigenvalue of the pp-Laplace operator along the Ricci flow on closed manifolds. We show that the first pp-eigenvalue is strictly increasing and differentiable almost everywhere along the Ricci flow under some curvature a…

2009-12-24abs ↗pdf ↗

Study on MMV in jump-diffusion models resolves MV's non-monotonicity issues.

problem Non-monotonicity and free cash flow stream problems in MV preferences.
method Explicit solution for MMV preferences in jump-diffusion models, proving non-negative potential measures.
result MMV resolves MV's non-monotonicity and free cash flow stream issues.

Geometrically studies Moore-Penrose inverse and polar decomposition continuity.

problem Continuity of Moore-Penrose inverse for perturbations by operator ideals.
method Geometric construction using essential codimension and Banach-Lie group action.
result Moore-Penrose inverse is a real analytic map between manifolds.

The paper solves a complex financial optimization problem using a novel mathematical technique.

problem Optimizing portfolio selection in financial markets.
method Maximal monotone operator method and Riccati transformation.
result Existence and uniqueness of a solution to the transformed parabolic equation in a Sobolev space.

This is a revised version of our short note [arxiv.math.DG/0403065] where we discuss the monotonicity of the eigen-values of the Laplacian operator to the Ricci-Hamilton flow on a compact or a complete non-compact Riemannian manifold. We show that the eigenvalue of the Lapacian operator on a compact domain associated w…

2005-11-11abs ↗pdf ↗

New positive mass theorem for hyperbolic 3-manifolds using Green functions.

problem Proving a positive mass theorem for asymptotically hyperbolic 3-manifolds.
method Using a monotonicity formula for the Green function of the Laplace operator.
result Established a new positive mass theorem for three-dimensional manifolds.

A new method solves variational inequality problems with multiple constraints without needing optimal Lagrange multipliers.

problem Solving variational inequality problems with multiple functional constraints efficiently.
method Constrained Gradient Method (CGM) for Minty variational inequality problems.
result The Constrained Gradient Method achieves complexity similar to projection-based methods but with cheaper oracles.

Standard sequential generation methods assume a pre-specified generation order, such as text generation methods which generate words from left to right. In this work, we propose a framework for training models of text generation that operate in non-monotonic orders; the model directly learns good orders, without any ad…

2019-02-05abs ↗pdf ↗

This paper shows how to learn variational inequalities fast with strong monotonicity.

problem Learning variational inequalities efficiently.
method Extending convex optimization techniques to variational inequalities with strong monotonicity.
result Fast generalization rates of Θ(1/ε)Θ(1/ε) for learning variational inequalities.

Differentiable sorting and rank normalization are incompatible, with specific conditions for admissibility.

problem Incompatibility between differentiable sorting and rank normalization.
method Formalized admissibility through monotone invariance, batch independence, and rank-space stability conditions.
result Different gap-sensitive and batchwise relaxations of rank normalization violate the conditions for admissibility.

We prove general reflection positivity results for both scalar fields and Dirac fields on a Riemannian manifold, and comment on applications to quantum field theory. As another application, we prove the inequality CDCNC_D \leq C_N between Dirichlet and Neumann covariance operators on a manifold with a reflection.

2007-05-04abs ↗pdf ↗

Develops a first-order interior-point method for solving constrained variational inequalities.

problem Solving constrained variational inequalities with nontrivial constraints.
method ADMM-based interior-point method for constrained VIs (ACVI).
result First-order interior-point method with global convergence guarantees for general cVI problems.

Gradient descent on neural nets often operates at the Edge of Stability, where loss behavior is complex but loss decreases over time.

problem Understanding the optimization dynamics of neural networks at the Edge of Stability.
method Empirical demonstration of gradient descent behavior in neural network training.
result Gradient descent on neural networks typically occurs at the Edge of Stability, where loss behavior is non-monotonic but loss decreases over time.

Let (M,g)(M,g) be an nn-dimensional compact Riemannian manifold (n>1n>1) whose metric g(t)g(t) evolves by the generalized abstract geometric flow. This paper discusses the evolution, monotonicity and differentiability for the first eigenvalue of the pp-Laplacian on (M,g(t))(M,g(t)) with respect to time evolution. We prove that t…

2016-05-06abs ↗pdf ↗

Solves capillary curvature problems for specific p values.

problem Capillary curvature problems for n<p<1-n < p < 1 and θ(0,π2)θ\in (0,\fracπ{2}).
method Iterative scheme based on capillary Minkowski problem and capillary curvature image operators.
result Fixed points of capillary curvature image operators correspond to solutions of capillary LpL_p-Minkowski problem.

In this paper, we study the evolving behaviors of the first eigenvalue of Laplace-Beltrami operator under the normalized Ricci flow of model geometries. In every Bianchi class, we estimate the derivative of the eigenvalue. Then we construct monotonic quantities under the Ricci flow and obtain upper and lower bounds for…

2016-02-15abs ↗pdf ↗

Insider trading is reduced when penalized, affecting expected penalties in a non-monotone way.

problem Reducing insider trading behavior when insiders face legal penalties.
method Characterized via a backward stochastic differential equation (BSDE) with a non-linear operator.
result The insider's expected penalties are non-monotone in the fee structure and determined by relative entropy.

DM framework improves robustness and efficiency in latent-mixture models.

problem Efficient and robust inference in latent-mixture models.
method Divergence-minimization framework with monotonic convergence and robustness guarantees.
result DM yields consistent and asymptotically normal estimators under correct specification.

The consultative papers for the Basel II Accord require rating systems to provide a ranking of obligors in the sense that the rating categories indicate the creditworthiness in terms of default probabilities. As a consequence, the default probabilities ought to present a monotonous function of the ordered rating catego…

2002-07-23abs ↗pdf ↗