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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.

168,742 papers · 148 categories

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1.4%2.8%4.2%5.6% · May 199819922001200920172026
48 results for non-homotopic edges

We prove that on a closed surface of genus gg, the cardinality of a set of simple closed curves in which any two are non-homotopic and intersect at most once is g2log(g)\lesssim g^2 \log(g). This bound matches the largest known constructions to within a logarithmic factor. The proof uses a probabilistic argument in graph th…

2018-07-16abs ↗pdf ↗

In this article we show that for any given Riemann surface ΣΣ of genus gg, we can bound (from above) the renormalized volume of a (hyperbolic) Schottky group with boundary at infinity conformal to ΣΣ in terms of the genus and the combined extremal lengths on ΣΣ of (g1)(g-1) disjoint, non-homotopic, simple closed comp…

2019-05-08abs ↗pdf ↗

Let SS be an nn-punctured sphere, with n3n \geq 3. We prove that (n3)\binom{n}{3} is the maximum size of a family of pairwise non-homotopic simple arcs on SS joining a fixed pair of distinct punctures of SS and pairwise intersecting at most twice. On the way, we show that a square annular diagram AA has a corner on …

2019-06-14abs ↗pdf ↗

We prove that on a punctured oriented surface with Euler characteristic chi < 0, the maximal cardinality of a set of essential simple arcs that are pairwise non-homotopic and intersecting at most once is 2|chi|(|chi|+1). This gives a cubic estimate in |chi| for a set of curves pairwise intersecting at most once on a cl…

2014-02-07abs ↗pdf ↗

Let SgS_{g} denote the genus gg closed orientable surface. For kNk\in \mathbb{N}, a kk-system is a collection of pairwise non-homotopic simple closed curves such that no two intersect more than kk times. Juvan-Malnič-Mohar \cite{Ju-Mal-Mo} showed that there exists a kk-system on SgS_{g} whose size is on the order o…

2014-03-20abs ↗pdf ↗

New surfaces in a 4-manifold are found that are not isotopic but homotopic.

problem Finding non-isotopic surfaces that are homotopic in a specific 4-manifold.
method Applying the Norman trick to a fixed immersed surface, using non-homotopic tubing arcs.
result Infinitely many embedded tori in T4#(S2imesS2)T^4\#(S^2 imes S^2) are non-isotopic but homotopic.

Maximizes filling systems on surfaces with given boundary components.

problem Finding the maximum size of filling systems on surfaces with specific boundary conditions.
method Analyzing the structure of filling systems and their complements.
result The maximum size of a filling system on a surface of genus g with 1 ≤ b ≤ 2g-2 boundary components is 2g + b - 1.

Let M\mathcal {M} be the space of all, including singular, long knots in 3-space and for which a fixed projection into the plane is an immersion. Let cl(Σiness(1))cl(Σ^{(1)}_{iness}) be the closure of the union of all singular knots in M\mathcal {M} with exactly one ordinary double point and such that the two resolutions repres…

2007-10-23abs ↗pdf ↗

The purpose of this article is two-fold: We first give a more elementary proof of a recent theorem of Korkmaz, Monden, and the author, which states that the commutator length of the n-th power of a Dehn twist along a boundary parallel curve on a surface with boundary S of genus g at least two is the floor of (|n|+3)/2 …

2012-06-15abs ↗pdf ↗

We study parallel surfaces and dual surfaces of cuspidal edges. We give concrete forms of principal curvature and principal direction for cuspidal edges. Moreover, we define ridge points for cuspidal edges by using those. We clarify relations between singularities of parallel and dual surfaces and differential geometri…

2015-10-22abs ↗pdf ↗

OL4EL optimizes edge learning on resource-constrained servers.

problem Resource constraints on edge servers hinder effective distributed machine learning.
method Online Learning for EL (OL4EL) framework using budget-limited multi-armed bandit model.
result OL4EL significantly improves learning performance while conserving resources.

In L^3, cuspidal edges can have bounded mean curvature under specific conditions.

problem Understanding cuspidal edges with bounded mean curvature in Lorentz-Minkowski 3-space.
method Investigated cuspidal edges and generalized cuspidal edges, analyzing their singular points and principal curvatures.
result Cuspidal edges with bounded mean curvature in L^3 occur only when the singular set is a light-like curve.

Along cuspidal edge singularities on a given surface in Euclidean 3-space, which can be parametrized by a regular space curve, a unit normal vector field νν is well-defined as a smooth vector field of the surface. A cuspidal edge singular point is called generic if the osculating plane of the cuspidal edge (as a regul…

2014-08-19abs ↗pdf ↗

We prove several results about chordal graphs and weighted chordal graphs by focusing on exposed edges. These are edges that are properly contained in a single maximal complete subgraph. This leads to a characterization of chordal graphs via deletions of a sequence of exposed edges from a complete graph. Most interesti…

2017-06-14abs ↗pdf ↗

Defense against user shilling attacks in collaborative filtering using edge reweighting.

problem Vulnerability of collaborative filtering to profile injection attacks.
method Adversarial robustness based edge reweighting to attenuate non-robust edges.
result Effective defense against various types of attacks demonstrated through experiments.

A hybrid neural network optimizes AI deployment on edge and cloud for energy efficiency.

problem Energy and resource constraints in edge devices for deep learning models.
method Conditionally deep hybrid neural network with quantized layers at edge and full-precision layers at cloud.
result Early classification at the edge reduces energy consumption by 5.5x on CIFAR-10 dataset.

Study relates Gaussian curvature signs to cuspidal edge types and geometric invariants.

problem Understanding the relationship between Gaussian curvature and singularities of Gauss maps of cuspidal edges.
method Analyzes geometric invariants and types of singularities of Gauss maps to define and characterize positivity/negativity of cusps.
result Defines and characterizes positivity/negativity of cusps of Gauss maps by geometric invariants of cuspidal edges, and shows relation between sign of cusps and Gaussian curvature.

This paper proposes a method to learn graph representations by partitioning edges into communities.

problem Graph neural networks ignore how edges are formed, leading to suboptimal representation learning.
method Introduces a generative model to partition edges into community-specific weighted edges, then uses these for GNN-based inference and classification.
result The method learns discriminative representations for both node-level and graph-level classification tasks.

Paper presents a lightweight, unobtrusive method to protect edge device data privacy.

problem Protecting inference data privacy in IoT edge devices with limited compute power.
method A lightweight neural network at edge devices to obfuscate inference data without indicating obfuscation.
result Effectively protects inference data confidentiality while preserving backend accuracy.

Johnson, Kidwell, and Michael showed that intrinsically knotted graphs have at least 21 edges. Also it is known that K7 and the thirteen graphs obtained from K7 by rY moves are intrinsically knotted graphs with 21 edges. We prove that these 14 graphs are the only intrinsically knotted graphs with 21 edges.

2012-07-31abs ↗pdf ↗

This paper optimizes AI inference on edge devices with reduced communication and computation costs.

problem Efficiently performing AI inference on resource-constrained edge devices with reduced communication and computation costs.
method A three-step framework for effective inference: model split point selection, communication-aware model compression, and task-oriented encoding of intermediate features.
result Our proposed framework achieves a better trade-off and significantly reduces inference latency compared to baseline methods.

A framework for real-time edge intelligence using federated meta-learning.

problem Real-time intelligent decisions at edge devices with limited resources and data.
method Federated meta-learning approach for rapid adaptation of learned models.
result Effective framework demonstrated on various datasets.

On-device federated learning updates edge models by exchanging trained results.

problem Limited training data at edge devices due to model drift.
method OS-ELM for sequential training and autoencoder for anomaly detection, combined with federated learning.
result The proposed approach produces a merged model as accurately as traditional methods with lower costs.

For non-homotopic maps u,vC(M,N)u,v\in C^{\infty}(M,N) between closed Riemannian manifolds, we consider the smallest energy level γp(u,v)γ_p(u,v) for which there exist paths utW1,p(M,N)u_t\in W^{1,p}(M,N) connecting u0=uu_0=u to u1=vu_1=v with dutLppγp(u,v)\|du_t\|_{L^p}^p\leq γ_p(u,v). When uu and vv are (k2)(k-2)-homotopic, work of Hang and Lin shows t…

2018-09-10abs ↗pdf ↗

The study proves poor ideal three-edge triangulations are minimal for certain 3-manifolds.

problem Finding minimal ideal triangulations for specific 3-manifolds.
method Analyzing properties of poor ideal three-edge triangulations and applying them to construct minimal triangulations.
result Poor ideal three-edge triangulations are proven to be minimal for certain 3-manifolds.

Previous work in network analysis has focused on modeling the mixed-memberships of node roles in the graph, but not the roles of edges. We introduce the edge role discovery problem and present a generalizable framework for learning and extracting edge roles from arbitrary graphs automatically. Furthermore, while existi…

2016-10-04abs ↗pdf ↗

The paper provides conditions for realizing graphs and polytopes with specified edge lengths.

problem Proving the existence of planar embeddings or polyhedra with specified edge lengths.
method Practical sufficient conditions and software verification for non-self-intersecting perturbations of initial realizations.
result Existence of planar embeddings and polyhedra with specified edge lengths.

Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for graph learning, e.g. graph convolutional networks (GCN) and graph attention networks (GAT), adequately utilize edge features, especially multi-dimensional edge features. In this paper, we build…

2018-09-07abs ↗pdf ↗