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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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61123184245 · Jun 202019922001200920172026
48 results for Euclidean factor

Study shows no new Euclidean factors can appear in the limit of CAT(0) spaces.

problem Stability of Euclidean factors in CAT(0) spaces under convergence.
method GH-convergence of CAT(0) spaces with uniformly cocompact discrete groups of isometries.
result Dimension of the maximal Euclidean factor is the same for large jj.

The paper proves a transformation theorem under a monotone property of almost Euclidean factors of geodesic balls.

problem The non-increasing property of numbers of almost Euclidean factors of geodesic balls.
method Proves a transformation theorem under a non-decreasing property compared to the non-increasing property.
result Shows that for a manifold with nonnegative Ricci curvature, if its universal cover is polar at infinity and the number of almost Euclidean factors is monotone, then its fundamental group is finitely generated and virtually abelian.

A super-conformal map and a minimal surface are factored into a product of two maps by modeling the Euclidean four-space and the complex Euclidean plane on the set of all quaternions. One of these two maps is a holomorphic map or a meromorphic map. These conformal maps adopt properties of a holomorphic function or a me…

2012-08-27abs ↗pdf ↗

New methods optimize functions on hyperbolic and spherical spaces, matching Euclidean rates up to logarithmic factors.

problem Optimizing functions on non-Euclidean spaces like hyperbolic and spherical geometries.
method Introduced accelerated global first-order methods for LL-smooth and geodesically convex functions on hyperbolic and spherical spaces.
result Achieved the same rates as accelerated gradient descent in Euclidean space, up to logarithmic factors.

The paper explores Kähler structures of Taub-NUT and Kerr spaces.

problem Understanding Kähler properties of gravitational instantons and black holes.
method Analyzing Euclidean Taub-NUT and Kerr metrics using alternative coframes and conformal scaling.
result Euclidean Taub-NUT and Kerr metrics exhibit hyper-Kähler and globally conformally Kähler properties, respectively.

Paper explores coarse embeddings between symmetric spaces and Euclidean buildings, answering open questions.

problem Understanding coarse embeddings between symmetric spaces and Euclidean buildings.
method Generalization of quasi-isometric embeddings, focusing on coarse embeddings without Euclidean factors.
result Rank is monotonous under coarse embeddings when the domain does not contain a Euclidean factor.

We determine the structure of finitely generated groups which are quasi-isometric to symmetric spaces of noncompact type, allowing Euclidean de Rham factors If XX is a symmetric space of noncompact type with no Euclidean de Rham factor, and $\Ga$ is a finitely generated group quasi-isometric to the product $\E^k\times…

1996-10-06abs ↗pdf ↗

Rigidity of Wasserstein spaces over Riemannian manifolds

problem Isometric rigidity of L2 Wasserstein spaces over Riemannian manifolds
method Showing L2 Wasserstein spaces are isometrically rigid if and only if their underlying manifolds do not admit a Euclidean de Rham factor
result Isometry of L2 Wasserstein spaces over non-Euclidean manifolds

The paper examines rational homology spheres that admit special generic maps into Euclidean spaces.

problem Whether rational homology nn-spheres admit special generic maps into Rp\mathbb{R}^{p} for p<np<n.
method Stein factorization technique to derive a necessary homological condition.
result New results on the (non-)existence of special generic maps for specific rational homology spheres.

We discuss constant mean curvature bubbletons in Euclidean 3-space via dressing with simple factors, and prove that single bubbletons are not embedded.

2010-10-29abs ↗pdf ↗

We give a new proof of a theorem of Kleiner-Leeb: that any quasi-isometrically embedded Euclidean space in a product of symmetric spaces and Euclidean buildings is contained in a metric neighborhood of finitely many flats, as long as the rank of the Euclidean space is not less than the rank of the target. A bound on th…

2004-01-26abs ↗pdf ↗

The goal of this article is to investigate nontrivial mm-quasi-Einstein manifolds globally conformal to an nn-dimensional Euclidean space. By considering such manifolds, whose conformal factors and potential functions are invariant under the action of an (n1)(n-1)-dimensional translation group, we provide a complete cl…

2019-04-25abs ↗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 ↗

New method turns optimization algorithms into uniformly stable learning algorithms for non-Euclidean norms.

problem Non-Euclidean norms in binary classification problems.
method Black-box reduction method using uniformly convex regularizers.
result Achieves optimal statistical risk bounds on excess risk for non-Euclidean norms.

The paper studies Einstein submanifolds in Euclidean space and finds conditions for their properties.

problem Characterizing Einstein submanifolds in Euclidean space.
method Analyzing warped product manifolds and using isometric immersions into Euclidean space.
result Conditions for an Einstein submanifold to be locally a cylinder and for its base to be Ricci flat.

In this paper we extend the classical theory of combinatorial manifolds to the non-homogeneous setting. NH-manifolds are polyhedra which are locally like Euclidean spaces of varying dimensions. We show that many of the properties of classical manifolds remain valid in this wider context. NH-manifolds appear naturally w…

2011-08-24abs ↗pdf ↗

In this paper, we deal with the linear Weingarten factorable surfaces in the isotropic 3-space I^{3} satisfying the relation aK+bH=c, where K is the relative curvature and H the isotropic mean curvature, a,b,cR. We obtain a complete classification for such surfaces in I^{3}. As a further study, we classify all graph su…

2016-04-06abs ↗pdf ↗

For a harmonic function u on Euclidean space, this note shows that its gradient is essentially determined by the geometry of its level hypersurfaces. Specifically, the factor by which |grad(u)| changes along a gradient flow is completely determined by the mean curvature of the level hypersurfaces intersecting the flow.

2018-11-10abs ↗pdf ↗

We proved that a conformal immersion of M0n0×M1n1M_0^{n_0}\times M_1^{n_1} as an hipersurface in a Euclidean space must be an extrinsic product of immersions, under the assumption that n0,n12n_0, n_1 \geq 2 and that M0n0×M1n1M^{n_0}_0\times M^{n_1}_1 is not conformally flat. We also stated a similar theorem for an arbitrary number of fa…

2018-11-13abs ↗pdf ↗

We prove that a bounded open set U in Euclidean n-space has k-width less than C(n) Volume(U)^{k/n}. Using this estimate, we give lower bounds for the k-dilation of degree 1 maps between certain domains in Euclidean space. In particular, we estimate the smallest (n-1)-dilation of any degree 1 map between two n-dimension…

2006-09-20abs ↗pdf ↗

New RBF networks can approximate any continuous function.

problem Approximating any continuous function on a compact subset.
method Replacing smoothing factors with shifts in RBF networks and proving approximation under certain conditions.
result RBF networks can approximate any continuous function on any compact subset.

We investigate minimal helix submanifolds of any dimension and codimension immersed in Euclidean space. Our main result proves that a ruled minimal helix submanifold is a cylinder. As an application we classify complex helix submanifolds of Cn\mathbb{C}^n: They are extrinsic products with a complex line as a factor. Th…

2015-04-15abs ↗pdf ↗

Paper proposes a matrix optimization model for reliable Euclidean embedding from noisy data.

problem Challenges in Euclidean embedding from noisy observations containing outliers.
method Matrix optimization based embedding model to detect and remove outliers.
result The model provides high accuracy estimators and successfully identifies outliers.

The stability of the Yamabe invariant of S3S^3 is discussed.

problem Stability of the Yamabe invariant of S3S^3.
method Analysis of asymptotically flat metrics with vanishing scalar curvature and nearly Euclidean L2L^2 Sobolev inequality.
result If a manifold (R3,g)(\mathbb{R}^3,g) carries a suitably normalized, positive solution to Δgw+λw5=0Δ_g w + λw^5 = 0, then ww must be close to a conformal factor transforming Euclidean space into a round sphere.

Skew parallelogram nets factorize, encompassing discrete differential geometry.

problem Factorization of polynomials in discrete differential geometry.
method Lax representation, Bäcklund transformations, factorization of polynomials.
result Skew parallelogram nets encompass all systems with polynomial representations.

A smooth map between smooth manifolds is called a special generic map if it has only definite fold points as its singularities. In this paper, we give conditions for a special generic map into the 3-dimensional Euclidean space to be factored as the composition of an embedding and a projection for certain dimensions.

2016-03-15abs ↗pdf ↗

Regularization for matrix factorization (MF) and approximation problems has been carried out in many different ways. Due to its popularity in deep learning, dropout has been applied also for this class of problems. Despite its solid empirical performance, the theoretical properties of dropout as a regularizer remain qu…

2017-10-13abs ↗pdf ↗

Paper revisits DP-SCO in Euclidean and pd\ell_p^d spaces, focusing on constrained and bounded sets.

problem Differentially private stochastic convex optimization in constrained and bounded sets in Euclidean and pd\ell_p^d spaces.
method Proposes methods achieving excess population risks dependent on Gaussian width of the constraint set, and novel algorithms for unconstrained and heavy-tailed data.
result Theoretical results for DP-SCO in pd\ell_p^d spaces, including optimal bounds for strongly convex functions.

Unified framework for human motion generation on Riemannian manifolds.

problem Learning valid human motion in Euclidean spaces.
method Riemannian Motion Generation (RMG) on product manifolds, Riemannian flow matching.
result Achieves state-of-the-art FID (0.043) on HumanML3D and surpasses strong baselines on MotionMillion.

Riemannian algorithms converge at Euclidean rates for geodesically convex-concave problems.

problem Min-max optimization on Riemannian manifolds.
method RCEG method and RGDA for geodesically strongly-convex-concave problems.
result RCEG achieves linear convergence rate in geodesically strongly-convex-concave cases.