arXiv research

Paper proves a noncompact version of Gromov's band-width estimate.

The paper establishes new band width inequalities for Riemannian bands.

Proves curvature comparison for Riemannian bands in low dimensions.

Paper proves rigidity for spin bands with specific conditions.

Study on nodal components of random band-limited functions on surfaces, finding a universal law.

Extends width estimates to family case using index theory.

The Rosenberg index vanishes if a manifold admits a wide Riemannian band or cube-like domain.

We apply recently developed convex programs to find the minimal-area Riemannian metric on $2n$-sided polygons ($n\geq 3$) with length conditions on curves joining opposite sides. We argue that the Riemannian extremal metric coincides with the conformal extremal metric on the regular $2n$-gon. The hexagon was considered…

Establish optimal Lipschitz lower bounds for functions on manifolds with negative curvature, revealing interplay between width, boundary area, and topology.

End-to-end DRNs outperform ConvNets in EEG decoding.

Every link is shown to be presentable as a boundary of an unknotted flat banded surface. A (flat) banded link is defined as a boundary of an unknotted (flat) banded surface. A link's (flat) band index is defined as the minimum number of bands required to present the link as boundaries of an unknotted (flat) banded surf…

The paper explores index theory for Dirac operators to understand scalar curvature properties.

Satellite knots can be trivialized by a single band move.

Deep learning optimizes wireless band switching without measurement gaps.

Study shows upper limit for torical band width with spectral curvature bounds.

The goal of this study is to explain and examine the statistical underpinnings of the Bollinger Band methodology. We start off by elucidating the rolling regression time series model and deriving its explicit relationship to Bollinger Bands. Next we illustrate the use of Bollinger Bands in pairs trading and prove the e…

Sharp distance estimates for compact spin manifolds using Dirac operator.

New rational band moves simplify knot classification.

We give a short proof that if a non-trivial band sum of two knots results in a tight fibered knot, then the band sum is a connected sum. In particular, this means that any prime knot obtained by a non-trivial band sum is not tight fibered. Since a positive L-space knot is tight fibered, a non-trivial band sum never yie…

We show that a band-connected sum of knots $K_0$ and $K_1$ along a band $b$ is equal to the connected sum $K_0\# K_1$ if and only if $b$ is a trivial band.

Classifies $S^1$-invariant free boundary minimal annuli and Möbius bands in $\mathbb{B}^n$.

The paper creates nonparametric confidence bands for band-limited functions.

Many wireless networks, including 5G NR (New Radio) and future beyond 5G cellular systems, are expected to operate on multiple frequency bands. This paper considers the band assignment (BA) problem in dual-band systems, where the basestation (BS) chooses one of the two available frequency bands (centimeter-wave and mil…

New method removes MRI banding without post-processing.

A new neural network separates singing voices more effectively.

Paper shows that for torus knots, the pinch number equals the unoriented band unknotting number.

New method finds arbitrage opportunities in fluctuating asset bands.

Develops Llarull type theorems for 3D and 4D bands with spectral scalar curvature bounds.

Every classical knot is band-pass equivalent to the unknot or the trefoil. The band-pass class of a knot is a concordance invariant. Every ribbon knot, for example, is band-pass equivalent to the unknot. Here we introduce the long virtual knot concordance group $\mathscr{VC}$. It is shown that for every concordance cla…

Study surfaces in 4-manifolds using banded unlink diagrams.

The paper improves nonparametric confidence bands for band-limited functions.

Study negative band numbers in braids and links.

We introduce a new sparse estimator of the covariance matrix for high-dimensional models in which the variables have a known ordering. Our estimator, which is the solution to a convex optimization problem, is equivalently expressed as an estimator which tapers the sample covariance matrix by a Toeplitz, sparsely-banded…

Paper shows how to embed Möbius bands with many twists and small aspect ratios.

No free boundary Möbius bands exist in a 3D ball.

The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to undergo substantial reorganization from childhood to adulthood, but wheth…

Band selection, by choosing a set of representative bands in hyperspectral image (HSI), is an effective method to reduce the redundant information without compromising the original contents. Recently, various unsupervised band selection methods have been proposed, but most of them are based on approximation algorithms …

We prove optimal systolic inequalities on Finsler Mobius bands relating the systole and the height of the Mobius band to its Holmes-Thompson volume. We also establish an optimal systolic in- equality for Finsler Klein bottles of revolution, which we conjecture to hold true for arbitrary Finsler metrics. Extremal metric…

New theorem on embedding Moebius bands in 3D space.

The paper explores optimization of higher Steklov eigenvalues in various dimensions.

Knots from a specific band sum have similar homologies but are distinct.

Improved bound for optimal Moebius band aspect ratio.

The study finds many Möbius bands and annuli on toroids.

Band surgery is an operation relating pairs of knots or links in the three-sphere. We prove that if two quasi-alternating knots $K$ and $K'$ of the same square-free determinant are related by a band surgery, then the absolute value of the difference in their signatures is either 0 or 8. This obstruction follows from a …

Paper proposes a method to estimate confidence bands for survival random forests.

Defines band maps in unoriented link Floer homology forming a skein exact triangle.

Band-limited training reduces resource usage without sacrificing accuracy.

EGO-MDA identifies optimal spectral-bands for process discrimination.