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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.

168,657 papers · 148 categories

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59118176235 · Jun 202019922001200920172026
48 results for stabilization distance

Define the 1-handle stabilization distance between two surfaces properly embedded in a fixed 4-dimensional manifold to be the minimal number of 1-handle stabilizations necessary for the surfaces to become ambiently isotopic. For every nonnegative integer mm we find a pair of 2-knots in the 4-sphere whose stabilization…

2019-08-19abs ↗pdf ↗

Single stabilization is not always enough to make exotic surfaces isotopic.

problem Determining if a single stabilization is sufficient to make exotic surfaces isotopic.
method Study of stabilization distance with satellite operations using Floer theoretic techniques.
result Found examples of exotic disks in the four-ball with arbitrarily large stabilization distance.

Suppose KK is a knot in S3S^3 with bridge number nn and bridge distance greater than 2n2n. We show that there are at most (2nn){2n\choose n} distinct minimal genus Heegaard splittings of S3η(K)S^3\setminusη(K). These splittings can be divided into two families. Two splittings from the same family become equivalent after at …

2015-07-26abs ↗pdf ↗

Adapts Stein's method for geometric inequalities, addressing boundary terms.

problem Geometric inequalities and their stability under constraints.
method Uses elliptic PDE with oblique boundary condition to handle boundary terms.
result Stability results for various geometric inequalities with respect to a new distance.

The study bounds distances in simplicial complexes and defines new invariants for 3-manifolds and handlebody-knots.

problem Estimating distances in simplicial complexes associated with low-dimensional manifolds.
method Obtained bounds on distances in simplicial complexes using topological conditions on vertices and curve complexes. Defined new invariants for 3-manifolds and handlebody-knots using splitting distances.
result Splitting distances in simplicial complexes are bounded from below under stabilizations, leading to converging invariants.

Paper proves stability of positive mass theorem for specific types of manifolds.

problem Stability of positive mass theorem for compact graphical manifolds.
method Used Federer--Fleming flat distance and static quasi-local Brown-York energy.
result Proved stability of positive mass theorem for compact (locally) hyperbolic graphical manifolds.

We consider the set of connected surfaces in the 4-ball with boundary a fixed knot in the 3-sphere. We define the stabilization distance between two surfaces as the minimal gg such that we can get from one to the other using stabilizations and destabilizations through surfaces of genus at most gg. Similarly, we consi…

2018-10-22abs ↗pdf ↗

Two algorithms estimate Wasserstein distance matrices from few entries for manifold learning.

problem Estimating Wasserstein distance matrices from limited data for manifold learning.
method Proposes two algorithms: matrix completion and Nyström completion for square Wasserstein matrices.
result Nyström completion can outperform matrix completion with a fixed sample budget and improve classification stability.

The study bounds the stability of Gaussian mixtures under small perturbations.

problem Stability of Gaussian mixtures under small changes in distribution.
method Deriving an explicit bound on parameter stability of spherical Gaussian Mixture Models (sGMM) in a pre-defined model class.
result Upper bound on parameter distance of close sGMMs to the original sGMM, dependent only on the original model.

We show that the number of stabilizations needed to interchange the handlebodies of a Heegaard splitting of a closed 3-manifold by an isotopy is bounded below by the smaller of twice its genus or half its Hempel distance. This is a combinatorial version of a proof by Hass, Thompson and Thurston of a similar theorem, bu…

2008-05-28abs ↗pdf ↗

A distance-squared function is one of the most significant functions in the application of singularity theory to differential geometry. Moreover, distance-squared mappings are naturally extended mappings of distance-squared functions, wherein each component is a distance-squared function. In this paper, compositions of…

2018-01-04abs ↗pdf ↗

Study on surfaces of genus g≥1 in 3D contact sub-Riemannian manifolds, proving finiteness or infiniteness of induced distance.

problem Determining the finiteness of the induced distance on surfaces of genus g≥1 in 3D contact sub-Riemannian manifolds.
method Analyzing the structural stability of the finiteness/not-finiteness of the induced distance on closed surfaces of genus g≥1.
result Closed surfaces of genus g≥1 can be embedded in such a way that the induced distance is either always finite or always infinite.

Researchers modify dpd_p distance to handle long, thin splines.

problem Maintaining stability in convergence metrics with scalar curvature approaching positivity.
method Introducing and analyzing a modified dpd_p distance to handle persistent splines.
result The modified dpd_p distance provides a stable estimate, useful for geometric stability.

We analyze critical points of the Sliced Wasserstein Distance for optimization stability.

problem Understanding the behavior of optimization algorithms for models trained with the Sliced Wasserstein Distance.
method Explicit perturbations and critical point analysis of the SW objective.
result Stable critical points of SW cannot concentrate on segments, providing optimization stability.

Stability of positive mass theorem for hyperbolic manifolds studied.

problem Stability of the positive mass theorem for asymptotically hyperbolic manifolds.
method Adapted intrinsic flat distance approach to show stability for a class of manifolds.
result Stability of the positive mass theorem for a class of asymptotically hyperbolic graphical manifolds.

The paper examines stability of the Sobolev inequality in metric spaces with curvature dimension conditions.

problem Investigating stability of the Sobolev inequality in metric spaces with curvature dimension conditions.
method Assuming almost the same optimal constant, the paper shows that the cumulative distribution of almost extremal functions is close to that of an Aubin-Talenti bubble on the round sphere.
result Quantitative stability with sharp exponent for the Sobolev inequality in various curvature and dimension assumptions.

The paper converts metric bounds to distance function Hölder bounds and proves compactness theorems.

problem Proving geometric stability results with scalar curvature bounds.
method Transforming LpL^p bounds to Hölder bounds for distance functions.
result Compactness theorems and convergence guarantees for Riemannian manifolds.

The paper proves stability of manifolds with boundary under volume and distance constraints.

problem Stability of manifolds with boundary under volume and distance constraints.
method Volume preserving intrinsic flat convergence of metrics with boundary constraints.
result The stability of manifolds with boundary under volume and distance constraints is proven.

Persistence diagrams (PDs) play a key role in topological data analysis (TDA), in which they are routinely used to describe topological properties of complicated shapes. PDs enjoy strong stability properties and have proven their utility in various learning contexts. They do not, however, live in a space naturally endo…

2017-06-11abs ↗pdf ↗

This paper shows how to estimate distances in latent space of random graphs using entropic OT.

problem Estimating distances between groups of nodes in latent space of random graphs.
method Entropic Optimal Transport (OT) with stability results for perturbations of the cost matrix.
result Consistent estimation of entropic OT distances between groups of nodes in latent space.

Study on reducing dimensionality in high-dimensional regression with kernel methods and stability analysis.

problem Analyzing errors in high-dimensional regression with dimensionality reduction and kernel regression.
method Derive a stability result for kernel regression with Wasserstein distance and apply it to PCA to deduce convergence rates.
result Two-step procedure yields useful convergence rates in semi-supervised settings.

Kevin Hartshorn showed that if a three-dimensional manifold MM admits a Heegaard surface ΣΣ with Hempel distance dd then every incompressible surface in MM has genus at least d2\frac{d}{2}. Scharlemann-Tomova generalized this, proving that in such a manifold, every other Heegaard surface for MM of genus $g' < \fra…

2013-08-21abs ↗pdf ↗

We study the boundary rigidity problem for compact Riemannian manifolds with boundary (M,g)(M,g): is the Riemannian metric gg uniquely determined, up to an action of diffeomorphism fixing the boundary, by the distance function ρg(x,y)ρ_g(x,y) known for all boundary points xx and yy? We prove in this paper global uniqueness …

2004-08-05abs ↗pdf ↗

Wasserstein distance plays increasingly important roles in machine learning, stochastic programming and image processing. Major efforts have been under way to address its high computational complexity, some leading to approximate or regularized variations such as Sinkhorn distance. However, as we will demonstrate, regu…

2018-02-12abs ↗pdf ↗

Stable density-based clustering via multiparameter persistence.

problem Density-based clustering stability to data perturbations.
method Degree-Rips construction, correspondence-interleaving distance, multiparameter stability analysis.
result Persistable pipeline yields stable, consistent density-based clustering.

The paper proves stability of eigenvalue inequalities on surfaces.

problem Stability of isoperimetric inequalities for Laplace eigenvalues on surfaces.
method Employing eigenvalues of measures and Sobolev space W1,2W^{-1,2}, the paper proves stability estimates for the first and second nonzero Laplace eigenvalues on surfaces.
result Metrics almost maximizing the normalized eigenvalue are W1,2W^{-1,2}-close to a maximal metric.

Backpropagation-free RL method trains layers using local signals.

problem Vanishing or exploding gradients in backpropagation-based RL.
method Local pairwise distance matching for layer-wise training without backpropagation.
result Backpropagation-free method achieves competitive performance and stability.

Quantitative stability for nearly minimizing Yamabe metrics.

problem Understanding the stability of nearly minimizing metrics in Riemannian geometry.
method Proving quantitative closeness of nearly minimizing metrics to minimizing metrics in a specific sense.
result The distance between nearly minimizing metrics and minimizing metrics is controlled quadratically by the Yamabe energy deficit.

Away from the central axis, we prove the stability of the Positive Mass Theorem in the W1,pW^{1,p} sense for asymptotically flat axisymmetric manifolds with nonnegative scalar curvature satisfying some additional technical assumptions. We also derive estimates for the volumes of regions, the areas of axisymmetric surface…

2018-06-06abs ↗pdf ↗

The paper examines how to test if two learning algorithms produce similar outcomes.

problem Testing if two learning algorithms produce similar outcomes when trained on different data sets.
method Using Total Variation (TV) distance to measure similarity of posterior distributions.
result TV indistinguishable learning rules are equivalent to existing stability notions and can be statistically amplified.

We modify an approach of Johnson to define the distance of a bridge splitting of a knot in a 3-manifold using the dual curve complex and pants complex of the bridge surface. This distance can be used to determine a complexity, which becomes constant after a sufficient number of stabilizations and perturbations, yieldin…

2011-10-13abs ↗pdf ↗