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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.

169,181 papers · 148 categories

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48 results for $(LCS)_n$-manifolds

The paper examines Ricci solitons on specific types of (LCS)n(LCS)_n-manifolds.

problem Investigating Ricci solitons on (LCS)n(LCS)_n-manifolds.
method Analyzing various types of Ricci pseudosymmetric (LCS)n(LCS)_n-manifolds.
result Conditions for Ricci solitons on specific (LCS)n(LCS)_n-manifolds.

Durhuus and Jonsson (1995) introduced the class of "locally constructible" (LC) triangulated manifolds and showed that all the LC 2- and 3-manifolds are spheres. We show here that for each d>3 some LC d-manifolds are not spheres. We prove this result by studying how to collapse products of manifolds with exactly one fa…

2009-11-24abs ↗pdf ↗

Study bounds Ricci curvature in (LCS)n(LCS)_n-manifolds with almost ηη-Ricci solitons.

problem Bounding Ricci curvature in (LCS)n(LCS)_n-manifolds with specific solitons.
method Provided lower and upper bounds for Ricci curvature, derived a Bochner-type formula.
result Derived bounds and consequences for (LCS)n(LCS)_n-manifolds with almost ηη-Ricci solitons.

Study on totally real submanifolds in (LCS)n(LCS)_n-manifolds.

problem Characterizing properties of totally real submanifolds in (LCS)n(LCS)_n-manifolds.
method Analysis of submanifolds with respect to Levi-Civita and quarter symmetric metric connections.
result Scalar curvature of C-totally real submanifolds is same for both connections.

The paper characterizes warped product submanifolds in LCS-manifolds.

problem Characterizing warped product submanifolds in LCS-manifolds.
method Analyzing contact CR-warped product and pseudo-slant submanifolds, and constructing examples.
result There do not exist any proper warped product bi-slant submanifolds of LCS-manifolds.

Study invariant submanifolds in (LCS)n-manifolds with quarter symmetric metric connection.

problem Characterize invariant submanifolds in (LCS)n-manifolds.
method Investigate invariant submanifolds with respect to quarter symmetric metric connection.
result Mean curvature of invariant submanifold is equal to the mean curvature with Levi-Civita connection.

Study of Ricci solitons on specific submanifolds.

problem Understanding Ricci solitons on invariant and anti-invariant submanifolds.
method Investigation of Ricci solitons on invariant and anti-invariant submanifolds of (LCS)n(LCS)_n-manifolds with respect to both Riemannian and quarter symmetric metric connections.
result Characterization of Ricci solitons on these submanifolds.

New methods prove non-squeezing in locally conformal symplectic geometry.

problem Non-squeezing theorem in locally conformal symplectic geometry.
method Generating functions and spectral selectors for lcs Hamiltonian diffeomorphisms.
result Proves a non-squeezing theorem in S1imesR2nimesS1S^1 imes \mathbb{R}^{2n} imes S^1.

We initiate here the study of Gromov-Witten theory of locally conformally symplectic manifolds or $\lcs$ manifolds, $\lcsm$'s for short, which are a natural generalization of both contact and symplectic manifolds. We find that the main new phenomenon (relative to the symplectic case) is the potential existence of holom…

2016-09-28abs ↗pdf ↗

Study invariants of elliptic curves in LCS manifolds, leading to new phenomena in Riemann-Finsler geometry.

problem Defining and studying invariants of elliptic curves in locally conformally symplectic manifolds.
method Using JJ-holomorphic curves and Gromov-Witten theory to define and study invariants.
result Found new phenomena in Riemann-Finsler geometry and an analogue of the Weinstein conjecture.

The study explores properties of homologically locally connected spaces and their connections to other topological concepts.

problem Characterizing and understanding homologically locally connected spaces.
method Investigates properties and characterizations of homologically UVnUV^n-maps and lcGnlc^n_G-spaces, comparing them to existing concepts.
result Identifies similarities and parallels between homologically locally connected spaces and other topological concepts.

A locally conformally symplectic (LCS) form is an almost symplectic form ωω such that a closed one-form θθ exists with dω=θωdω=θ\wedgeω. A fiber bundle with LCS fiber (F,ω,θ)(F, ω,θ) is called LCS if the transition maps are diffeomorphisms of FF preserving ωω (and hence θθ). In this paper, we find conditions for the total…

2015-10-09abs ↗pdf ↗

The abstract investigates convexity in locally conformally symplectic geometry.

problem Characterizing and proving convexity in locally conformally symplectic manifolds.
method Geometric characterization and proof of convexity theorems for twisted and symplectic moment maps.
result Established an analog of the symplectic convexity theorem for locally conformally symplectic manifolds.

We present a formulation of general nonlinear LC circuits within the framework of Birkhoffian dynamical systems on manifolds. We develop a systematic procedure which allows, under rather mild non-degeneracy conditions, to write the governing equations for the mathematical description of the dynamics of an LC circuit as…

2006-09-05abs ↗pdf ↗

Study on deformations of LC Spin(7) instantons simplifies the problem.

problem Deformation theory of instantons on locally conformal Spin(7) manifolds.
method Reformulated linearized deformation equations using a t-parameter family of Dirac operators, demonstrating cancellation of torsion terms.
result The deformation space H^1 is governed by Levi-Civita geometry, reducing the problem to a torsion-free setting.

Study LCS structures on Lie algebras of type I, proving trivial Morse-Novikov cohomology and constructing solvmanifolds.

problem Locally conformal symplectic structures on Lie algebras of type I.
method Analyzing Lie algebras of type I, proving trivial Morse-Novikov cohomology, and constructing solvmanifolds.
result LCS structures on Lie algebras of type I are of the first kind and can be used to construct compact solvmanifolds.

In n-dimensional Euclidean space E^n, harmonic curvatures of a non-degenerate curve defined by Özdamar and Hacisalihoğlu [4]. In this paper, We define a new type of curves called LC helix when the angle between tangent of this curve and LC parallel vector field in space form is constant. Furthermore, several characteri…

2012-03-09abs ↗pdf ↗

This paper compares machine learning methods for recognizing lane change intentions from vehicle trajectories.

problem Accurately detecting and predicting lane change processes in autonomous vehicles.
method Comparison of different machine learning methods on high-dimensional time series data.
result Ensemble methods reduce Type II and Type III classification errors, while LightGBM outperforms XGBoost in training efficiency.

LC-SAC tackles non-stationary dynamics in reinforcement learning.

problem Degradation of deep RL methods in non-stationary environments.
method LC-SAC uses latent context encoders and contrastive loss for dynamic information capture.
result LC-SAC outperforms SAC on environments with drastic dynamics changes.

LC-GNN improves GNNs for node classification by incorporating label consistency.

problem Limited performance of GNNs due to label consistency assumption not always holding.
method LC-GNN uses node pairs with the same label but unconnected to expand GNN's receptive field.
result LC-GNN outperforms traditional GNNs in semi-supervised node classification.

The paper classifies submanifolds in a specific Lorentz-Minkowski space.

problem Characterizing submanifolds in a Lorentz-Minkowski space.
method Constructing a global frame field and analyzing extrinsic invariants.
result Local classification theorems for specific submanifold classes.

This study evaluates Lx-norm penalties for resolving complex LC-MS data.

problem Resolving complex LC-MS data with rotational ambiguity.
method Simulated LC-MS data and grid search strategy to compare L0-, L1-, and L2-norm penalties.
result L1-norm penalty (Lasso) provides more sparse solutions and reduces rotational ambiguity.

LC-PFN predicts learning curve performance more accurately and faster than MCMC.

problem Bayesian extrapolation of learning curves is computationally expensive and overly restrictive.
method Prior-Data Fitted Neural Networks (PFNs) for approximate Bayesian inference.
result LC-PFN outperforms MCMC in accuracy and is significantly faster.

Let π:XBπ: \mathcal{X}^* \rightarrow B^* be an algebraic family of compact Kähler manifolds of complex dimension nn with negative first Chern class over a punctured disc BCB^*\in \mathbb{C}. Let gtg_t be the unique Kähler-Einstein metric on Xt=π1(t)\mathcal{X}_t= π^{-1}(t). We show that as t0t\rightarrow 0, $(\mathcal{X}_t, g…

2017-06-05abs ↗pdf ↗

Model complexity is an important factor to consider when selecting among graphical models. When all variables are observed, the complexity of a model can be measured by its standard dimension, i.e. the number of independent parameters. When hidden variables are present, however, standard dimension might no longer be ap…

2012-12-12abs ↗pdf ↗

A new graph kernel uses LCS and Wasserstein distance for better graph comparisons.

problem Graph learning methods can be limited by information from distant vertices and path length constraints.
method Proposes a Graph Kernel based on LCS similarity and Wasserstein distance in a novel metric space.
result The new kernel emphasizes comparisons between similar paths and reduces information loss.