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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.

169,291 papers · 148 categories

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63126189252 · Jun 202019922001200920182026
48 results for continuous analog

A discrete analog of the Tzitzeica equation is found in the form of quad-equation. Its continuous symmetry is an inhomogeneous Narita--Bogoyavlensky type lattice equation which defines a discretization of the Sawada--Kotera equation. The integrability of these discretizations is proven by construction of the Lax repres…

2011-03-26abs ↗pdf ↗

Analog method solves portfolio optimization problems faster and more efficiently.

problem Accurate covariance matrix estimation and fast optimal portfolio selection for financial applications.
method Two-step process using equilibrium propagation and analog Hopfield networks.
result Fully analog pipeline calculates optimal portfolios in energy-efficient manner.

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.

We prove that the partial C0C^0-estimate holds for metrics along Aubin's continuity method for finding Kähler-Einstein metrics, confirming a special case of a conjecture due to Tian. We use the method developed in recent work of Chen-Donaldson-Sun on the analogous problem for conical Kähler-Einstein metrics.

2013-10-31abs ↗pdf ↗

This paper applies reactor theory to supply chain management.

problem Maintaining optimal item delivery and collection ratios in supply chains.
method Translating neutron transport and diffusion theory to supply chain management, introducing analogy factors and interactors.
result A deterministic model for supply chain optimization.

Characterizes billiard and quasigeodesic flows in polyhedral convex bodies.

problem Characterizing billiard and quasigeodesic flows in polyhedral convex bodies.
method Alexandrov geometry methods.
result Optimal regularity result for convex bodies: billiard dynamics is continuous if boundary is of class C2,1\mathcal{C}^{2,1}.

Paper tackles noisy neural networks and proposes a method to enhance their robustness.

problem Noisy neural networks struggle with random continuous noise in weights.
method Knowledge distillation combined with noise injection during training.
result Models achieve up to twice greater noise tolerance.

ADAC uses analogous policies to improve RL exploration without sacrificing stability.

problem Improving RL exploration without compromising stability and expressiveness.
method Disentangled actor-critic approach with analogous pairs of actors and critics.
result Empirical evaluation shows ADAC outperforms alternatives in challenging exploration tasks.

In this paper we prove a universal inequality describing the asymptotic behavior of support points for planar continuous curves. As corollaries we get an analogous result for tangent points of differentiable planar curves and some (partially known) assertions on the asymptotic of the mean value points for various class…

2010-07-01abs ↗pdf ↗

Continuous metrics on manifolds with singularities are shown to be Einstein.

problem Classical theorem extension to singular metrics.
method Extending classical conformal geometry theorem to continuous metrics with singularities.
result Continuous metrics achieving the Yamabe invariant are Einstein away from singularities and can be extended smoothly.

Bidirectional attention is shown to be equivalent to a continuous bag of words model with mixture-of-experts.

problem Understanding the statistical underpinnings of bidirectional attention.
method Exploring bidirectional attention as a mixture-of-experts model and reparameterizing it.
result Bidirectional attention can be viewed as a continuous bag of words model with mixture-of-experts weights.

Generalization bounds derived for neural ODEs and deep residual networks.

problem Understanding the generalization capability of neural ODEs and deep residual networks.
method Lipschitz-based argument and analogy with deep residual networks.
result A generalization bound involving the magnitude of weight matrix differences.

Financial markets investors are involved in many games -- they must interact with other agents to achieve their goals. Among them are those directly connected with their activity on markets but one cannot neglect other aspects that influence human decisions and their performance as investors. Distinguishing all subgame…

2007-09-30abs ↗pdf ↗

We detail the theory of Discrete Riemann Surfaces. It takes place on a cellular decomposition of a surface, together with its Poincaré dual, equipped with a discrete conformal structure. A lot of theorems of the continuous theory follow through to the discrete case, we define the discrete analogs of period matrices, Ri…

2008-02-12abs ↗pdf ↗

This expository article discusses some connections between the geometry of a hyperbolic 3-manifold homotopy-equivalent to a surface, and the combinatorial properties of its end invariants. In particular a necessary and sufficient condition is stated for the manifold to have arbitrarily short geodesics, in terms of a se…

2000-06-01abs ↗pdf ↗

A graph's winding numbers around two non-adjacent vertices differ by ±1.

problem Understanding the winding numbers of a specific graph configuration in the plane.
method Analyzing continuous maps from a graph to the plane, focusing on the winding numbers of specific cycles.
result The difference in winding numbers of a cycle around two non-adjacent vertices is ±1.

We extend the theory of asymmetric information in mispricing models for stocks following geometric Brownian motion to constant relative risk averse investors. Mispricing follows a continuous mean--reverting Ornstein--Uhlenbeck process. Optimal portfolios and maximum expected log--linear utilities from terminal wealth f…

2011-01-06abs ↗pdf ↗

In this paper, we study continuous Kakeya line and needle configurations, of both the oriented and unoriented varieties, in connected Lie groups and some associated homogenous spaces. These are the analogs of Kakeya line (needle) sets (subsets of Rn\mathbb{R}^n where it is possible to turn a line (respectively an inter…

2013-03-04abs ↗pdf ↗

Various semigroups of noninvertible supermatrices of the special (antitriangle) shape having nilpotent Berezinian which appear in supersymmetric theories are defined and investigated. A subset of them continuously represents left and right zero semigroups and rectangular bands. The ideal properties of higher order rect…

1996-09-19abs ↗pdf ↗

A new method for CT-DCEGs simplifies inference for asymmetric processes.

problem Inference in asymmetric state space problems with continuous time evolution.
method An extension of CEG propagation for CT-DCEGs, employing junction tree inference.
result CT-DCEGs are preferred over DBNs and continuous time BNs for asymmetric processes.

We show that if a Fano manifold MM is K-stable with respect to special degenerations equivariant under a compact group of automorphisms, then MM admits a Kähler-Einstein metric. This is a strengthening of the solution of the Yau-Tian-Donaldson conjecture for Fano manifolds by Chen-Donaldson-Sun, and can be used to ob…

2015-06-24abs ↗pdf ↗

Continuous-time Kyle model shows privacy subsidy from noise-perturbed order flow.

problem Quantifying break-even fees for committed-AMM exchanges under privacy-aggregated information.
method Extended Nakamura's (2026) single-period result to continuous-time, observing order flow perturbed by Brownian noise.
result Cumulative privacy subsidy is identified as equivalent to Loss-Versus-Rebalancing in price observation gap.

The path probability of a particle undergoing stochastic motion is studied by the use of functional technique, and the general formula is derived for the path probability distribution functional. The probability of finding paths inside a tube/band, the center of which is stipulated by a given path, is analytically eval…

2016-02-13abs ↗pdf ↗

A number of modern learning tasks involve estimation from heterogeneous information sources. This includes classification with labeled and unlabeled data as well as other problems with analogous structure such as competitive (game theoretic) problems. The associated estimation problems can be typically reduced to solvi…

2012-12-12abs ↗pdf ↗

Negative results for neural network approximations on multi-dimensional spaces.

problem Approximating functions on compact subsets of R^d (d≥2) using neural networks.
method Proof of negative results for single and multi-layer feedforward neural networks with various activation functions.
result Existence of target functions difficult to approximate by these neural networks.

Study of evolutes of polygons and curves in higher dimensions.

problem Understanding evolutes of spatial polygons and curves in higher dimensions.
method Analyzing iterations of evolute transformations and studying properties of evolutes for polygons and curves.
result Eigenvalues of the second evolute map have double multiplicity, and evolutes of certain curves are homothetic to the curves themselves.

This primer explains diffusion models in general state spaces.

problem Diffusion models in general state spaces are not well-introduced.
method Develops discrete-time and continuous-time views of diffusion models, deriving Fokker-Planck and master equations.
result Unified understanding of diffusion models across continuous and discrete domains.

Defines a geometric dimension for Lorentzian spaces, distinguishing spacelike and null subspaces.

problem No specific problem stated; focuses on defining a new geometric dimension.
method Introduces a one-parameter family of volume measures and a doubling condition for causal diamonds.
result Defines a geometric dimension for synthetic spacetimes, distinguishing between spacelike and null subspaces.