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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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3367100133 · Jun 202019922001200920172026
48 results for partial orthogonality

The paper explores how semantic independence can be captured in text embeddings using partial orthogonality.

problem Capturing semantic independence in text embeddings.
method Developed a theory and methods based on partial orthogonality to demonstrate semantic independence.
result Partial orthogonality captures semantic independence in text embeddings.

We prove that a polar orthogonal representation of a real reductive algebraic group has the same closed orbits as the isotropy representation of a pseudo-Riemannian symmetric space. We also develop a partial structural theory of polar orthogonal representations of real reductive algebraic groups which slightly generali…

2008-01-03abs ↗pdf ↗

Motivated by the relationship between orthogonal complex structures and spure spinors, we define twisted partially pure spinors in order to characterize spinorially subspaces of Euclidean space endowed with a complex structure.

2015-06-27abs ↗pdf ↗

The paper proves smoothness of almost-minimizers' boundaries near the free boundary.

problem Minimizing degenerate area functionals with weighted boundary conditions.
method Epsilon-regularity theorem applied to almost-minimizers.
result Almost-minimizers' boundaries are C1,γ0C^{1,γ_0}-smooth, orthogonal to the boundary ΩΩ.

Let MM be a compact hypersurface with boundary M=D1D2\partial M=\partial D_1 \cup \partial D_2, D1Π1\partial D_1 \subset Π_1, D2Π2\partial D_2 \subset Π_2, Π1Π_1 and Π2Π_2 two parallel hyperplanes in Rn+1\mathbb{R}^{n+1} (n2n \geq 2). Suppose that MM is contained in the slab determined by these hyperplanes and that the mean cu…

2016-01-12abs ↗pdf ↗

Paper links set derivatives to its orthogonal projections.

problem Understanding the relationship between set derivatives and projections.
method Derives equations from topological link between Minkowski functional partial derivatives and set boundary.
result System of equations for orthogonal projections derived.

The paper studies surfaces in a bounded domain with orthogonal boundaries and proves curvature estimates.

problem Estimating the area of surfaces with orthogonal boundaries in a bounded domain.
method Weak formulation of orthogonality for curvature varifolds, classification of vanishing curvature varifolds.
result Existence of an orthogonal 2-varifold that minimizes L2L^2 curvature in the integer rectifiable class.

OPT framework improves neural network generalization by learning an orthogonal transformation.

problem Improving neural network generalization.
method Orthogonal over-parameterized training (OPT) framework that minimizes hyperspherical energy.
result OPT framework provably minimizes hyperspherical energy and improves empirical generalization.

Globally hyperbolic spacetimes with timelike boundary (M=MM,g)(\overline{M} = M \cup \partial M, g) are the natural class of spacetimes where regular boundary conditions (eventually asymptotic, if M\overline{M} is obtained by means of a conformal embedding) can be posed. M\partial M represents the naked singularities and c…

2018-08-13abs ↗pdf ↗

Double machine learning provides n\sqrt{n}-consistent estimates of parameters of interest even when high-dimensional or nonparametric nuisance parameters are estimated at an n1/4n^{-1/4} rate. The key is to employ Neyman-orthogonal moment equations which are first-order insensitive to perturbations in the nuisance param…

2017-11-01abs ↗pdf ↗

If one could assume that local coordinates in a Riemannian manifold were orthogonal, then local expressions for differential operators, and curvature computations, would be simplified. It is always possible on 2-manifolds, using geometric normal coordinates or isothermal coordinates. In 1984, Dennis DeTurck and Dean Ya…

2019-09-17abs ↗pdf ↗

Study on Kähler Finsler manifolds with curvature bounds, proving theorems.

problem Understanding Kähler Finsler manifolds with curvature constraints.
method Analyzing partial parallelism of complex structure, proving theorems.
result Generalized comparison theorem for positively curved Kähler Finsler manifolds.

The fundamental tool in the classification of orthogonal coordinate systems in which the Hamilton-Jacobi and other prominent equations can be solved by a separation of variables are second order Killing tensors which satisfy the Nijenhuis integrability conditions. The latter are a system of three non-linear partial dif…

2015-02-26abs ↗pdf ↗

Let MM be a topological G2G_2-manifold. We prove that the space of infinitesimal associative deformations of a compact associative submanifold YY with boundary in a coassociative submanifold XX is the solution space of an elliptic problem. For a connected boundary Y\partial Y of genus gg, the index is given by $\i…

2008-02-09abs ↗pdf ↗

An orthogonal complex structure on a domain in R^4 is a complex structure which is integrable and is compatible with the Euclidean metric. This gives rise to a first order system of partial differential equations which is conformally invariant. We prove two Liouville-type uniqueness theorems for solutions of this syste…

2007-04-25abs ↗pdf ↗

Novel method to quantify aleatoric uncertainty of treatment effects from observational data.

problem Understanding randomness in treatment effects for medical treatments.
method Partial identification and Neyman-orthogonality to quantify aleatoric uncertainty.
result Developed a novel orthogonal learner (AU-learner) for quantifying aleatoric uncertainty.

This paper provides estimation and inference methods for an identified set's boundary (i.e., support function) where the selection among a very large number of covariates is based on modern regularized tools. I characterize the boundary using a semiparametric moment equation. Combining Neyman-orthogonality and sample s…

2017-12-28abs ↗pdf ↗

The study finds at least two short, simple geodesic chords on a disk with convex boundary.

problem Existence of short, simple geodesic chords on a 2-disk with convex boundary.
method Proof of existence using Riemannian geometry and bounds on lengths.
result Existence of at least two short, simple orthogonal geodesic chords on a 2-disk with convex boundary.

In this paper we study the class of compact Kähler manifolds with positive orthogonal Ricci curvature: Ric>0Ric^\perp>0. First we illustrate examples of Kähler manifolds with Ric>0Ric^\perp>0 on Kähler C-spaces, and construct ones on certain projectivized vector bundles. These examples show the abundance of Kähler manifolds …

2018-06-26abs ↗pdf ↗

Harmonic functions of two variables are exactly those that admit a conjugate, namely a function whose gradient has the same length and is everywhere orthogonal to the gradient of the original function. We show that there are also partial differential equations controlling the functions of three variables that admit a c…

2012-05-30abs ↗pdf ↗

Ancient curve shortening flow in a disc with mixed boundary conditions is solved.

problem Ancient curve shortening flow in a disc with mixed boundary conditions.
method Constructing convex eternal solutions and proving uniqueness.
result The only non-flat convex ancient solutions to the curve shortening flow satisfying the specified boundary conditions.

We consider a problem of prescribing the partial Ricci curvature on a locally conformally flat manifold (Mn,g)(M^n, g) endowed with the complementary orthogonal distributions D1D_1 and D2D_2. We provide conditions for symmetric (0,2)(0,2)-tensors TT of a simple form (defined on MM) to admit metrics g~\tilde g, conformal to …

2010-10-14abs ↗pdf ↗

In this article we study compact K\ahler manifolds satisfying a certain nonnegativity condition on the bisectional curvature. Under this condition, we show that the scalar curvature is nonnegative and that the first Chern class is positive assuming local irreducibility. We also obtain a partial classification of possib…

2011-08-31abs ↗pdf ↗

Recently mean field theory has been successfully used to analyze properties of wide, random neural networks. It gave rise to a prescriptive theory for initializing feed-forward neural networks with orthogonal weights, which ensures that both the forward propagated activations and the backpropagated gradients are near $…

2018-10-09abs ↗pdf ↗

Convex domains have a unique boundary property related to normal vectors.

problem Characterizing convex domains using boundary properties and inequalities.
method Proving an inequality involving boundary normal vectors and distances.
result A constant cnc_n exists such that the inequality holds for convex domains, with equality if and only if the domain is convex.

We present a novel approach to the classification of conformally equivariant differential operators on spinors in the case of homogeneous conformal geometry. It is based on the classification of solutions for a vector-valued system of partial differential equations, associated to D\mathcal{D}-modules for the homogeneo…

2016-02-03abs ↗pdf ↗

A new framework for PPLS combines noise estimation, optimization, and calibration.

problem Probabilistic PLS models need interpretable latent factors and calibrated uncertainty.
method End-to-end pipeline combining noise estimation, constrained optimization, and prediction calibration.
result Achieves near-nominal coverage and native calibrated uncertainty across benchmarks.

Paper proposes a method to recover point configurations from noisy distance data.

problem Recovering point configurations from noisy distance data.
method Robust Euclidean Distance Geometry via Dual Basis (RoDEoDB) algorithm.
result Exact recovery guarantees for point configuration and Gram matrix under mild conditions.

We consider a free boundary problem for the Willmore functional. Given a smooth domain ΩΩ in R3{\mathbb R}^3, we construct Willmore disks wich are critical in the class of surfaces meeting Ω\partial Ω orthogonally along their boundary and having small prescribed area. Using rescaling we first obtain constrained solut…

2014-08-28abs ↗pdf ↗

FedSPDnet improves federated learning for SPD matrices, outperforming existing methods.

problem Federated learning for SPD matrices with orthogonality constraints.
method Two efficient aggregation strategies: ProjAvg and RLAvg, preserving geometric structure.
result FedSPDnet outperforms federated EEGnet in F1 score and robustness to federation and partial participation.

Paper characterizes umbilical hypersurfaces using a generalized overdetermined problem.

problem Characterizing umbilical hypersurfaces in space forms.
method Using a Serrin-type partially overdetermined problem with inhomogeneous Robin boundary condition.
result Any contact angle θ ∈ (0, π) can be achieved, generalizing previous results.

Study on pp-Laplace equation in convex cones, proving rigidity under specific conditions.

problem Overdetermined problem for pp-Laplace equation in convex cones.
method Established properties of capacitary potential, used PP-function, isoperimetric inequality, and Heintze-Karcher inequality.
result Rigidity result under orthogonal intersection assumption.

Geometrically, Kostant's Convexity Theorem is extended to submetries with a fat section.

problem Extending Kostant's Convexity Theorem to a broader class of representations.
method Introducing a new concept of 'fat section' and proving the theorem for submetries with this property.
result Kostant's Convexity Theorem is partially extended to submetries with a fat section.

We consider gradient Ricci solitons conformal to a nn-dimensional pseudo-Euclidean space and we completely describe the most general ansatz that reduces the resulting system of partial differential equations to a system of ordinary differential equations. As a consequence, the gradient Ricci solitons that arise from t…

2018-05-10abs ↗pdf ↗