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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.

168,932 papers · 148 categories

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4590134179 · May 202619922001200920172026
48 results for Euclidean projection

Extends illumination bodies to non-Euclidean spaces and proves their volume derivative defines surface area.

problem Defining surface area in non-Euclidean geometries.
method Generalizes illumination bodies to Riemannian spaces of constant curvature and projective Finsler geometries, proving their volume derivative defines surface area.
result Derivative of volume of illumination bodies defines surface area in non-Euclidean geometries.

The study proves Strichartz and spectral projection theorems on specific types of curved surfaces.

problem Proving Strichartz and spectral projection theorems on curved surfaces.
method Using large negative curvature neighborhoods, the study proves theorems on asymptotically conic and Euclidean ends surfaces.
result The study proves theorems without loss of interval on specific types of curved surfaces.

The paper studies geometric properties of Grassman manifolds within Euclidean spaces.

problem Understanding the geometric structure of Grassman manifolds.
method Analyzing Grassman manifold G(E)G(E) as a subset of Euclidean space EE and orthogonal projections.
result Explicit formulas for differential geometry of G(E)G(E) as a submanifold.

Study on parabolic points and cylindrical surfaces in Euclidean 3-space.

problem Characterizing parabolic points and their geometric properties.
method Introducing contact cylindrical surfaces and analyzing their properties.
result Characterization of A\mathcal{A}-singularity through projections.

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.

Investigates projections onto explicit subspaces and their variance effects.

problem Understanding the variance preservation in explicit subspace projections.
method Investigates projections onto explicit subspaces of varying dimensionality and analyzes the variance effects.
result Developed new bounds for Euclidean distances and inner products.

H. Sato introduced a Schwarzian derivative of a contactomorphism of three-dimensional Euclidean space and with T. Ozawa described its basic properties. In this note their construction is extended to all odd dimensions and to non-flat contact projective structures. The contact projective Schwarzian derivative of a conta…

2004-05-19abs ↗pdf ↗

Study infinite Euclidean distance discriminants of algebraic varieties.

problem Understanding the structure of data points with infinitely many critical points in Euclidean distance correspondence.
method Developed computer code to compute discriminants and proved properties of fibers.
result Infinite Euclidean distance discriminants contain all data points with infinitely many critical points for the nearest-point problem.

In two papers titled "On the so-called non-Euclidean geometry", I and II, Felix Klein proposed a construction of the spaces of constant curvature -1, 0 and and 1 (that is, hyperbolic, Euclidean and spherical geometry) within the realm of projective geometry. Klein's work was inspired by ideas of Cayley who derived the …

2014-06-27abs ↗pdf ↗

A new derivation is given of Branson's factorization formula for the conformally invariant operator on the sphere whose principal part is the k-th power of the scalar Laplacian. The derivation deduces Branson's formula from knowledge of the corresponding conformally invariant operator on Euclidean space (the k-th power…

2007-11-29abs ↗pdf ↗

The study explores dilating set properties across Euclidean and hyperbolic geometries.

problem Distributional properties of dilating sets under projection.
method Covering maps and unit tangent bundles, focusing on manifolds of constant curvature.
result Established a precise asymptotic expansion for averages along expanding translates of homogeneous curves in hyperbolic surfaces.

CASP improves portfolio optimization by considering asset covariance.

problem Infeasibility in cardinality-constrained portfolio optimization.
method CASP uses volatility-normalized selection and covariance-aware projection.
result CASP-Basic delivers lower portfolio variance than standard Euclidean repair.

We study projectional properties of Poisson cut-out sets EE in non-Euclidean spaces. In the first Heisenbeg group, endowed with the Korányi metric, we show that the Hausdorff dimension of the vertical projection π(E)π(E) (projection along the center of the Heisenberg group) almost surely equals min{2,dimH(E)}\min\{2,dim_H(E)\} and …

2018-12-03abs ↗pdf ↗

We give a local parametric description of all holomorphic hypersurfaces in complex Euclidean and projective spaces with constant index of relative nullity, together with applications. This is a complex analogue to the parametrization for real hypersurfaces in Euclidean space known as the Gauss parametrization.

2008-09-04abs ↗pdf ↗

The goal of this paper is to introduce and study analogues of the Euclidean Funk and Hilbert metrics on open convex subsets ΩΩ of hyperbolic or spherical spaces. At least at a formal level, there are striking similarities among the three cases: Euclidean, spherical and hyperbolic. We start by defining non-Euclidean an…

2012-09-19abs ↗pdf ↗

3-manifold groups can only have convex co-compact representations if they are geometric or hyperbolic.

problem Understanding which 3-manifold groups can have convex co-compact representations.
method Analyzing representations of 3-manifold groups into projective general linear group, focusing on convex co-compactness.
result Fundamental groups of closed irreducible orientable 3-manifolds can only admit convex co-compact representations if they are geometric or hyperbolic.

Develop a framework for barycentric projections of optimal transport plans on Riemannian manifolds.

problem Optimal transport couplings are probabilistic objects, while many learning pipelines require deterministic maps.
method Develop a framework for barycentric projections of transport couplings on Riemannian manifolds.
result The intrinsic projection maps each source point to the conditional Fréchet mean of its destination law and is shown to be the best deterministic representative under squared geodesic loss.

Using sparse-inducing norms to learn robust models has received increasing attention from many fields for its attractive properties. Projection-based methods have been widely applied to learning tasks constrained by such norms. As a key building block of these methods, an efficient operator for Euclidean projection ont…

2012-06-18abs ↗pdf ↗

CDP reduces point cloud dimensions by preserving detour-induced local non-convexity.

problem Preserving local non-convexity in point cloud dimensionality reduction.
method CDP builds a k-NN graph, identifies admissible pairs, aggregates normalized directions, and uses top-k eigenvectors for projection.
result CDP provides verifiable guarantees on post-projection distortion and direction energy.

Proves conjecture on deformation invariance of big fundamental groups.

problem Stability of big fundamental groups under small deformations.
method Deformation regularity of equivariant pluriharmonic maps and techniques from Shafarevich conjectures.
result Deformation openness of big fundamental groups for varieties with big complex local systems.

We prove a Berger type theorem for the normal holonomy group (i.e., the holonomy group of the normal connection) of a full complete complex submanifold of the complex projective space. Namely, if the normal holonomy does not act transitively, then the submanifold is the complex orbit, in the complex projective space, o…

2008-07-22abs ↗pdf ↗

The problem of joint feature selection across a group of related tasks has applications in many areas including biomedical informatics and computer vision. We consider the l2,1-norm regularized regression model for joint feature selection from multiple tasks, which can be derived in the probabilistic framework by assum…

2012-05-09abs ↗pdf ↗

The study connects projective codes to the distribution of zeros of odd maps.

problem Understanding the distribution of zeros of odd maps from spheres to Euclidean space.
method Using the topology of the space of probability measures on the sphere.
result Generalization of the Borsuk-Ulam theorem and its four consequences.

Knots in Euclidean space which may be parameterized by a single cosine function in each coordinate are called Lissajous knots. We show that twist knots are Lissajous knots if and only if their Arf invariants are zero. We further prove that all 2-bridge knots and all (3,q)-torus knots have Lissajous projections.

2006-05-24abs ↗pdf ↗

New BDEs reveal singular surfaces from line congruences.

problem Understanding binary differential equations associated with line congruences.
method Applied pointwise to quadratic differential forms, studying quotients of quadratic forms and associated polar lines.
result Introduced a new singular surface in Euclidean 3-space.

The projection body operator Π, which associates with every convex body in Euclidean space Rn its projection body, is a continuous valuation, it is invariant under translations and equivariant under rotations. It is also well known that Π maps the set of polytopes in Rn into itself. We show that Π is the only non-trivi…

2012-07-31abs ↗pdf ↗

Euclidean systems and real PK arrangements linked via geometry.

problem Establishing a connection between Euclidean systems and real PK arrangements.
method Proving a correspondence between Euclidean \vee-systems and real PK arrangements, and showing homeomorphism of moduli spaces.
result Moduli space of Euclidean \vee-systems is homeomorphic to a polytope's interior, and hyperplane arrangements are simplicial.

APGD algorithm reconstructs point set from partial distance measurements.

problem Reconstructing point set configuration from partial Euclidean distance measurements.
method Asymmetric Projected Gradient Descent (APGD) for EDMC problem.
result Global convergence and exact recovery with O(μ2r3κ2nlogn)\mathcal{O}(μ^2 r^3 κ^2 n \log n) observations.