Research
On-device research index

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.

168,742 papers · 148 categories

Trend · papers per month

57113170226 · Jun 202019922001200920172026
48 results for Iterative formulae

A celebrated result due to Poincaré affirms that a closed non-degenerate minimizing geodesic γγ on an oriented Riemannian surface is hyperbolic. Starting from this classical theorem, our first main result is a general instability criterion for timelike and spacelike closed semi-Riemannian geodesics on a (non)oriented …

2017-06-23abs ↗pdf ↗

Study on self-similar sets on Riemannian manifolds with new separation conditions.

problem Analyzing self-similar sets on Riemannian manifolds with new separation conditions.
method Formulated weak separation and finite type conditions for conformal iterated function systems on Riemannian manifolds.
result Obtained formulas for Hausdorff dimensions of self-similar and graph self-similar sets.

Unique vertical isomorphisms between Fedosov dg manifolds are proven for Lie pairs.

problem Vertical isomorphisms of Fedosov dg manifolds associated with Lie pairs.
method Construction of Fedosov dg manifolds via splitting and connection, proving unique isomorphisms using iteration formula.
result Existence and uniqueness of vertical isomorphisms between Fedosov dg manifolds.

Deep learning improves causal effect estimation from complex observational data.

problem Estimating causal effects from complex observational data with low bias.
method Unified deep learning framework using multitask recurrent neural networks.
result Deep learning estimator shows lower bias in causal effect estimates.

We extend Dupire's formula for stochastic interest rates and local volatility.

problem Deriving formulas for stochastic interest rates and local volatility.
method Generalizations of Dupire's formula for stochastic drift and local volatility.
result Validated the limits of the generalized Dupire formulae for specific cases.

In this paper, we provide explicit formulas, in terms of the covariances of sample covariances or sample correlations, for the asymptotic covariances of unrotated factor loading estimates and unique variance estimates. These estimates are extracted from least square, principal, iterative principal component, alpha or i…

2018-11-12abs ↗pdf ↗

This paper examines the value of a cancellable European option in a finite time horizon setting. The specifications of this generalized European option allow the seller to cancel the option at any point in time for a fixed penalty paid directly to the holder. Here, we provide an explicit valuation formula for the Europ…

2013-04-22abs ↗pdf ↗

Refines neural network predictions using background knowledge for improved accuracy.

problem Compensate for lack of labeled data in neural networks.
method Introduces differentiable refinement functions and Iterative Local Refinement (ILR) algorithm to refine predictions efficiently and accurately.
result ILR finds competitive results in MNIST addition task and refines predictions on complex SAT formulas.

In this paper we study the knot Floer homology invariants of the twisted and untwisted Whitehead doubles of an arbitrary knot K. We present a formula for the filtered chain homotopy type of HFK(D(+,K,t)) in terms of the invariants for K, where D(+,K,t) denotes the t-twisted positive-clasped Whitehead double of K. In pa…

2006-06-05abs ↗pdf ↗

The paper explores invariant subbundles in nonholonomic mechanics.

problem Determining invariant affine subbundles in nonholonomic and constrained variational mechanics.
method Using Spencer cohomology and iterative formulae, the paper formalizes the integrability of linear partial differential equations and determines the largest invariant affine subbundle.
result Iterative formulae for determining the largest invariant affine subbundle are provided.

Study signatures of torus links and their cores using Neumann's equivariant signatures and Hirzebruch's formula.

problem Computing signatures of torus links and their cores.
method Use Neumann's equivariant signatures and rewrite Hirzebruch's formula for torus links (without cores) in terms of integral points in a parallelogram.
result Rewritten Hirzebruch's formula for torus links with cores using integral points in a parallelogram.

Develops discrete geometry for non-constant curvature surfaces.

problem Modeling surfaces of non-constant curvature, especially with non-constant negative curvature.
method Derived and numerically integrated Lelieuvre formulas for C1,1C^{1,1} hyperbolic surfaces. Proposed iterative and fast marching methods for solving implicit equations and computing geodesic distances.
result Explicit construction of immersions is not provided, but equations are described implicitly.

We give a formula of the Upsilon invariant of any L-space cable knot Kp,qK_{p,q} using p,ΥKp,Υ_K and ΥTp,qΥ_{T_{p,q}}. The integral value of the Upsilon invariant gives a Q{\mathbb Q}-valued knot concordance invariant. We compute the integral values for L-space iterated cable knots.

2017-03-26abs ↗pdf ↗

We prove that the control polygon of a Bezier curve B becomes homeomorphic and ambient isotopic to B via subdivision, and we provide closed-form formulas to compute the number of iterations to ensure these topological characteristics. We first show that the exterior angles of control polygons converge exponentially to …

2012-11-02abs ↗pdf ↗

An equation for the evolution of the distribution of wealth in a population of economic agents making binary transactions with a constant total amount of "money" has recently been proposed by one of us (RLR). This equation takes the form of an iterated nonlinear map of the distribution of wealth. The equilibrium distri…

2014-07-28abs ↗pdf ↗

In this paper we develop and analyze Hydra: HYbriD cooRdinAte descent method for solving loss minimization problems with big data. We initially partition the coordinates (features) and assign each partition to a different node of a cluster. At every iteration, each node picks a random subset of the coordinates from tho…

2013-10-08abs ↗pdf ↗

The Global Newlander-Nirenberg theorem is proven for domains with finite smooth boundary in complex manifolds.

problem Proving the Newlander-Nirenberg theorem for domains with finite smooth boundary in complex manifolds.
method Constructing a homotopy formula for Θ-valued (0,1)-forms and applying a Nash-Moser iteration scheme.
result A diffeomorphism exists transforming an almost complex structure into the complex structure on a domain.

The paper calculates knot invariants using Blanchfield forms and obstructs sliceness.

problem Computing and obstructing the sliceness of knots.
method Algorithmic computation of twisted signature invariants using twisted Blanchfield forms and satellite formulas.
result Illustrated algorithm for (2,q)(2,q)-torus knots and obstruction of sliceness for certain knots.

We give an explicit formulaic algorithm and source code for building long-only benchmark portfolios and then using these benchmarks in long-only market outperformance strategies. The benchmarks (or the corresponding betas) do not involve any principal components, nor do they require iterations. Instead, we use a multif…

2018-07-26abs ↗pdf ↗

We say that a given knot JS3J\subset S^3 is detected by its knot Floer homology and AA-polynomial if whenever a knot KS3K\subset S^3 has the same knot Floer homology and the same AA-polynomial as JJ, then K=JK=J. In this paper we show that every torus knot T(p,q)T(p,q) is detected by its knot Floer homology and AA-polynom…

2014-11-03abs ↗pdf ↗

We define a concordance invariant, epsilon(K), associated to the knot Floer complex of K, and give a formula for the Ozsváth-Szabó concordance invariant tau of K_{p,q}, the (p,q)-cable of a knot K, in terms of p, q, tau(K), and epsilon(K). We also describe the behavior of epsilon under cabling, allowing one to compute …

2012-02-07abs ↗pdf ↗

The study prevents model collapse in overparameterized linear regression by mixing real and synthetic labels.

problem Preventing model collapse in overparameterized linear regression.
method Iterative mixing of real and synthetic labels, deriving generalization error formulae.
result Optimal mixing ratio converges to the reciprocal of the golden ratio for isotropic features.

The paper establishes gradient estimates and Liouville theorems for Φ-Laplacian equations on Riemannian manifolds.

problem Gradient estimates and Liouville theorems for Φ-Laplacian equations on Riemannian manifolds.
method Nonlinear Φ-Bochner formula and Nash-Moser iteration technique for gradient bounds; maximum principle for parabolic case.
result Unified framework for gradient estimates and Liouville theorems for Φ-Laplacian equations.

A linear section of a double vector bundle is a parallel pair of sections which form a vector bundle morphism; examples include the complete lifts of vector fields to tangent bundles and the horizontal lifts arising from a connection in a vector bundle. A grid in a double vector bundle consists of two linear sections, …

2019-09-12abs ↗pdf ↗

Quantum algorithms improve calculation of parameter sensitivities in financial derivatives.

problem Calculating derivatives of expected values with respect to parameters in stochastic models.
method Two quantum methods based on QMCI and central difference formula.
result Sum-in-QAE method can be more advantageous for nonsmooth functions or limited qubits.

In 1998, R. Gompf defined a homotopy invariant θGθ_G of oriented 2-plane fields in 3-manifolds. This invariant is defined for oriented 2-plane fields ξξ in a closed oriented 3-manifold MM when the first Chern class c1(ξ)c_1(ξ) is a torsion element of H2(M;Z)H^2(M;\mathbb{Z}). In this article, we define an extension of the Go…

2017-03-09abs ↗pdf ↗

Study of operators on loop spaces using Fermionic calculus and stochastic methods.

problem Analyzing operators on loop spaces arising from self-adjoint and closed operators.
method Fermionic calculus and stochastic methods to derive regularity and stochastic representations.
result Derivation of a stochastic refinement of the Duistermaat-Heckman localization formula.

The paper explores properties of projections and gradient methods in hyperbolic space forms.

problem Optimization problems in hyperbolic space forms.
method Intrinsic κ-projection and gradient projection methods.
result Every accumulation point of the sequence generated by the gradient projection method is a stationary point.