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.

168,657 papers · 148 categories

Trend · papers per month

4285127169 · Jun 202019922001200920172026
48 results for swampland distance conjecture

New theory connects string theory to swampland distance conjecture.

problem Connecting string theory to swampland distance conjecture.
method Deformations of the heterotic superpotential, treating separately for large fluxes or large distances, integrating out fields to obtain a new field theory.
result New holomorphic theory defined, connects to swampland distance conjecture.

Geometric flows help solve the swampland problem by preserving Einstein equations.

problem Addressing the swampland conjecture in string theory.
method Analyzing scalar and metric bubble solutions under Perelman's flow, deriving geometric flow equations, and introducing an additional energy-momentum tensor term.
result A supplementary energy-momentum tensor term precisely reproduces the infinite tower of states with exponentially dropping masses.

New geometric flow equations describe how space-time dimensions change.

problem Understanding how the number of space-time dimensions affects geometry.
method Developed D-flow equations to model the variation of space-time geometries.
result Solutions for D-flow equations on D-dimensional spheres and Freund-Rubin Compactification.

Classical 10d string backgrounds with a 4d de Sitter space-time, D-brane and orientifold sources, are commonly believed to satisfy the following: 1. There is no classical de Sitter solution with parallel sources. 2. Classical de Sitter solutions with intersecting sources are unstable. 3. Classical de Sitter solutions c…

2019-02-26abs ↗pdf ↗

Inversive distance circle packing on surfaces was introduced by Bowers-Stephenson as a generalization of Thurston's circle packing and conjectured to be rigid. The infinitesimal and global rigidity of circle packing with nonnegative inversive distance were proved by Guo and Luo respectively. The author proved the globa…

2019-04-25abs ↗pdf ↗

Inversive distance circle packing metric was introduced by P Bowers and K Stephenson \cite{BS} as a generalization of Thurston's circle packing metric \cite{T1}. They conjectured that the inversive distance circle packings are rigid. For nonnegative inversive distance, Guo \cite{Guo} proved the infinitesimal rigidity a…

2017-05-08abs ↗pdf ↗

This paper investigates several global rigidity issues for polyhedral surfaces including inversive distance circle packings. Inversive distance circle packings are polyhedral surfaces introduced by P. Bowers and K. Stephenson as a generalization of Andreev-Thurston's circle packing. They conjectured that inversive dist…

2010-10-15abs ↗pdf ↗

Study validates Michor-Mumford conjecture in infinite dimensional Hilbertian H-type groups.

problem Validation of Michor-Mumford conjecture in infinite dimensional Hilbertian H-type groups.
method Introduced infinite dimensional Hilbertian H-type groups with weak, graded, left invariant Riemannian metrics and proved the vanishing of geodesic distance and local unboundedness of sectional curvature.
result Validation of Michor-Mumford conjecture linking geodesic distance vanishing to local unboundedness of sectional curvature.

Proves rigidity of circle packings in the plane, generalizing previous work.

problem Rigidity of infinite inversive distance circle packings in the plane.
method Maximal principle for generic weighted Delaunay inversive distance circle packings and ring lemma for inversive distance circle packings in hexagonal triangulated plane.
result Proves Bowers-Stephenson's conjecture for inversive distance circle packings.

The paper disproves the properness conjecture for higher-dimensional minimal hypersurfaces.

problem Properness of complete minimal hypersurfaces in higher dimensions.
method Chord-arc estimates and gluing techniques.
result Construction of a complete, improperly embedded minimal hypersurface in Rn+1\mathbb{R}^{n+1} for every n3n\ge 3.

New bounds on cover degrees for Teichmüller distance between hyperbolic surfaces.

problem Finding optimal cover degrees for Teichmüller distance between hyperbolic surfaces.
method Proved the existence of a constant k>0k>0 depending on MM and NN such that the covers MεoMM_ε o M and NεoNN_ε o N can be chosen to have degrees less than εkε^{-k}.
result The bound εkε^{-k} is optimal for certain arithmetic Riemann surfaces.

Physics: Similar long-distance properties can mask vastly different short-distance metrics.

problem Classifying homogeneous metrics on group manifolds by long-distance properties.
method Apply universality concept to geometry, focusing on metrics on Lie groups.
result Many metrics on low-dimensional Lie groups have similar long-distance properties despite differing short-distance properties.

We show that the distance trisector curve is not an algebraic curve, as was conjectured in the founding paper by T. Asano, J. Matousek and T. Tokoyama: "The distance trisector curve", Advances in Math., 212, 338-360 (2007).

2013-01-30abs ↗pdf ↗

The paper establishes Sobolev inequalities between Riemannian metrics and their distance functions.

problem Establishing a theory of Sobolev inequalities for Riemannian metrics and distance functions.
method Analyzing the sub-critical case $p < rac{m}{2}$, proving a Sobolev inequality linking $L^{ rac{p}{2}}$ bounds on metrics to LqL^q bounds on distance functions.
result A Sobolev inequality exists between Riemannian metrics and their distance functions, leading to a convergence theorem.

Study convexity of Mabuchi functional in big cohomology classes.

problem Convexity of Mabuchi functional in big cohomology classes.
method Defined an invariant related to transcendental Fujita approximations and established convexity under vanishing of this invariant.
result Established almost convexity along weak geodesics in big cohomology classes.

Defines a distance function on a manifold using symplectic embeddings and recovers the metric.

problem Recovering a Riemannian metric from symplectic embeddings in cotangent bundles.
method Defines a distance-like function ρWρ_W using symplectic embeddings and recovers the metric when WW is the unit disc-cotangent bundle.
result The distance function ρWρ_W recovers the Riemannian metric when WW is the unit disc-cotangent bundle.

Study knots with genus one, finds Gordian distance and cosmetic crossing constraints.

problem Understanding knots with genus one and their properties.
method Using HOMFLT polynomials to find obstructions for Gordian distance and cosmetic crossings.
result Proves the (generalized) cosmetic crossing conjecture for genus one pretzel knots.

The paper proves inequalities linking Wasserstein distances and eigenfunctions in RCD(K,∞) spaces.

problem Estimating Wasserstein distances and their bounds in RCD(K,∞) spaces.
method Similar techniques used to prove inequalities involving pp-Wasserstein distances and Laplace eigenfunctions.
result Proves a conjectured lower bound on pp-Wasserstein distance between positive and negative parts of Laplace eigenfunctions.

The study confirms conjectures about normals to convex polytopes in 3D space.

problem Concurrent normals problem for convex polytopes in 3D.
method Analyzes the PL concurrent normals problem for convex polytopes, proving conjectures for specific cases.
result Polytopes in 3D have points with 10 normals from interior points, confirmed for all tetrahedra and triangular prisms.

Study on geodesic distances on SE(3)/SO(2) in machine learning.

problem Investigating the efficiency of computationally efficient sections in selecting geodesic distances.
method Analyzing geodesic distances on reductive homogeneous spaces, proving the efficiency of minimal distance sections.
result Minimal distance sections are not always geodesic minimizers, but minimal horizontal geodesics are.

Example shows learnable distributions not privately learnable.

problem Learnable distributions under non-private conditions not transferable to differential privacy.
method Example of a distribution class learnable up to constant error in total variation distance but not under differential privacy.
result Contradicts conjecture of Ashtiani on learnability under differential privacy.

A slice distance for the class of weak abelian Lp-bundles in 3 dimensions was introduced in a previous article in collaboration with Tristan Rivière, where it was used to prove the closure of such class of bundles for the weak Lp-convergence. We further investigate this distance here, and we prove more properties of it…

2012-04-01abs ↗pdf ↗

The Kneser-Poulsen conjecture says that if a finite collection of balls in a Euclidean (spherical or hyperbolic) space is rearranged so that the distance between each pair of centers does not increase, then the volume of the union of these balls does not increase as well. We give new results about central sets of subse…

2015-11-25abs ↗pdf ↗

The Kobayashi pseudometric on a complex manifold is the maximal pseudometric such that any holomorphic map from the Poincaré disk to the manifold is distance-decreasing. Kobayashi has conjectured that this pseudometric vanishes on Calabi-Yau manifolds. Using ergodicity of complex structures, we prove this conjecture fo…

2013-08-26abs ↗pdf ↗

Given MφM_\varphi, a fibered 3-manifold with boundary, we show that the translation distance of the monodromy φ\varphi can be bounded above by the complexity of an essential surface with non-zero slope. Furthermore we prove that the minimal complexity of a surface with non-zero slope in MφnM_{\varphi^n} tends to infini…

2019-02-18abs ↗pdf ↗

This article explains how to construct immersed Lagrangian submanifolds in C^2 that are asymptotic at large distance from the origin to a given braid in the 3-sphere. The self-intersections of the Lagrangians are related to the crossings of the braid. These Lagrangians are then used to construct immersed Lagrangians in…

2002-01-22abs ↗pdf ↗

This paper raises an implicit manifold learning perspective in Generative Adversarial Networks (GANs), by studying how the support of the learned distribution, modelled as a submanifold Mθ\mathcal{M}_θ, perfectly match with Mr\mathcal{M}_{r}, the support of the real data distribution. We show that optimizing Jensen-Sha…

2017-10-30abs ↗pdf ↗

This paper introduces a new distance metric for filtered A-infinity categories, focusing on Lagrangian submanifolds.

problem Measuring the distance between filtered A-infinity categories associated with Lagrangian submanifolds.
method Developed a Gromov-Hausdorff distance to measure the difference between these categories.
result Established that the sequence of filtered A-infinity categories forms a Cauchy sequence in Gromov-Hausdorff distance.

We study one parameter degenerations of complex projective manifolds by introducing certain type of Hodge metrics coming from the pluricanonical forms. We show that degenerations with at most canonical singularities are all in the finite distance boundary of moduli spaces. We also propose the converse to be true in the…

2002-11-29abs ↗pdf ↗

Study finds almost contact structures in thermal QCD-like theories at intermediate coupling.

problem Understanding (Almost) Contact Structures in thermal QCD-like theories.
method Explicitly obtained (Almost) Contact Structures and SU(3) structures.
result Subspaces of C3S and AC3S are not mutually 'N-path connected' in the Infra-Red.