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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.

169,181 papers · 148 categories

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25.0%50.0%75.0%100.0% · Feb 199419922001200920182026
48 results for Locally asymptotically self-similar processes

New clustering method for financial data with known cluster number.

problem Clustering financial data with known number of clusters.
method Introduced a covariance-based dissimilarity measure for multifractional Brownian motions.
result Asymptotically consistent clustering algorithms for multifractional Brownian motions.

Asymptotically consistent clustering algorithms for ergodic stochastic processes are developed.

problem Clustering stochastic processes with consistency guarantees.
method Review and development of clustering algorithms for ergodic stochastic processes.
result Asymptotically consistent clustering algorithms can be obtained for ergodic stochastic processes.

We obtain two in a sense dual to each other results: First, that the capacity dimension of every compact, locally self-similar metric space coincides with the topological dimension, and second, that the asymptotic dimension of a metric space, which is asymptotically similar to its compact subspace coincides with the to…

2005-09-19abs ↗pdf ↗

The paper introduces a new method to detect rough volatility and market states using fractional derivatives.

problem Testing self-similarity in fractional processes from a single observed trajectory is difficult under long-range dependence.
method The paper introduces a regime-adaptive KS/GL--KS framework based on the discrete Grünwald--Letnikov (GL) fractional derivative.
result The method detects rough volatility and persistent, anti-persistent, or efficient market states in financial applications.

Study large deviation principle for fractional stochastic volatility models.

problem Large deviation principle for Volterra type fractional stochastic volatility models.
method Prove a small-noise large deviation principle under weaker conditions.
result Derive large deviation principle in small-time regime.

Study provides LDP for non self-similar stochastic volatility models.

problem Analyzing non self-similar stochastic volatility models.
method Short-time large deviation principle (LDP) for models with Volterra process.
result Derives consequences for option prices, implied volatility surfaces, and skew.

Global stock markets exhibit exponential growth and Gaussian fluctuations with self-similar monthly patterns.

problem Understanding regularities in stock market fluctuations across different countries.
method Analysis of daily and monthly stock indices from six countries.
result Monthly stock growth is statistically self-similar to daily growth and follows a Wiener process.

Self-similar solutions to geometric flows are stable under small perturbations.

problem Stability of self-similar solutions in geometric flows.
method Global analytic solutions, compactness arguments, spatial equi-decay properties, and estimates of linearized operator.
result Perturbed solutions are asymptotically self-similar as time tends to infinity.

Wavelet scattering spectra model non-Gaussian time-series, proving scale invariance for self-similar processes.

problem Modeling non-Gaussian time-series with stationary increments.
method Complex wavelet transform for scale variations, joint correlation matrix for scale dependencies, second wavelet transform for diagonalization, maximum entropy models conditioned by scattering spectra coefficients.
result Scattering spectra of self-similar processes are scale invariant, allowing statistical testing and generation of new time-series.

The study proves uniqueness and symmetry of self-similar solutions in warped product spaces.

problem Uniqueness and symmetry of self-similar solutions in warped product spaces.
method Analysis of curvature flows with homogeneous speed functions in warped product spaces.
result Compact star-shaped self-similar solutions in warped product spaces are slices.

New method clusters stationary stochastic processes using covariance-based dissimilarity.

problem Clustering wide-sense stationary ergodic stochastic processes.
method Covariance-based dissimilarity measure with consistent algorithms for offline and online clustering.
result Asymptotically consistent algorithms for efficient clustering.

The paper studies a flow of Legendre curves, generalizing the inverse curvature flow of regular curves.

problem Analyzing the inverse curvature flow of Legendre curves.
method Investigates the unique existence, monotonicity, and asymptotic behavior of the flow.
result The flow asymptotically converges to a self-similar solution, categorized by initial curve.

The paper constructs and analyzes self-similar blowup solutions for a wave map equation.

problem Existence and stability of self-similar blowup solutions for a wave map equation.
method Construction of self-similar solutions, detailed nonlinear stability analysis, spectral analysis of linearized operators.
result Sharp semigroup bounds and nonlinear stability of all discretely self-similar profiles in all dimensions.

The study examines the long-term behavior of a flow on Lie groups.

problem Understanding the long-time behavior of the pluriclosed flow on Lie groups.
method Analysis of left-invariant Hermitian structures on Lie groups, proving convergence and existence of solutions.
result Solutions on certain Lie groups converge to self-similar solutions, some of which are shrinking solitons.

New method replaces traditional convex integration for solving geometric problems.

problem Constructing solutions with self-similarity properties in geometric embeddings.
method Introducing Kuiper differential relations and a Corrugation Process to replace traditional convex integration.
result Totally real isometric embeddings exhibit self-similarity and can be uniformly expressed.

A simple unsupervised approach for cross-domain person re-identification.

problem Challenges in domain adaptation for person re-identification.
method Self-similarity Grouping (SSG) approach to learn pseudo identities from unlabeled samples.
result Significant improvement in mAP performance compared to state-of-the-art methods.

The paper establishes bounds on the smoothness parameter in Gaussian process interpolation.

problem Estimating the smoothness parameter in Gaussian process models.
method Approximation theory in Sobolev spaces and general theorems on parameter estimation.
result Maximum likelihood estimation recovers the true smoothness for certain classes of functions.

Let CRn+1C\subset\mathbb{R}^{n+1} be a regular cone with vertex at the origin. In this paper, we show the uniqueness for smooth properly embedded self-shrinking ends in Rn+1\mathbb{R}^{n+1} that are asymptotic to CC. As an application, we prove that not every regular cone with vertex at the origin has a smooth complete pro…

2011-10-03abs ↗pdf ↗

Study Ricci flows on manifolds, proving they behave like self-similar solutions and confirming a conjecture.

problem Understanding the behavior of Ricci flows on higher-dimensional manifolds.
method Analyzing nn-dimensional Ricci flows with non-negative Ricci curvature, starting at metric cones.
result Ricci flows behave like self-similar solutions up to an exponential error in time.

The paper establishes criteria for spacetime inextendibility using asymptotic volume-distance-ratio analysis.

problem Determining inextendibility of spacetimes near singularities.
method Asymptotic analysis of volume-distance-ratio (VDR) to prove inextendibility criteria.
result Failure of VDR convergence to the Minkowski value implies inextendibility of spacetime.

In this article we investigate a family of nonlinear evolutions of polygons in the plane called the ββ-polygon flow and obtain some results analogous to results for the smooth curve shortening flow: (1) any planar polygon shrinks to a point and (2) a regular polygon with five or more vertices is asymptotically stable …

2016-10-12abs ↗pdf ↗

This work addresses the {\em singularity formation} of complete non-compact solutions to the conformally flat Yamabe flow whose conformal factors have {\em cylindrical behavior at infinity}. Their singularity profiles happen to be {\em Yamabe solitons}, which are {\em self-similar solutions} to the fast diffusion equat…

2013-06-04abs ↗pdf ↗

A local monotonicity formula for the Yang-Mills-Higgs flow on GG-bundles over Rn\mathbb{R}^{n} (n>4n>4) is proved. It is shown that the monotone quantity coïncides on certain self-similar solutions with that appearing in existing non-local monotonicity formulæ for the Yang-Mills and Yang-Mills-Higgs flows.

2015-06-05abs ↗pdf ↗

In this paper, we consider the heat flow for Yang-Mills connections on R5×SO(5)\mathbb{R}^5 \times SO(5). In the SO(5)SO(5)-equivariant setting, the Yang-Mills heat equation reduces to a single semilinear reaction-diffusion equation for which an explicit self-similar blowup solution was found by Weinkove \cite{Wei04}. We prove …

2016-04-26abs ↗pdf ↗

The paper studies harmonic map heat flow stability and decay rates.

problem Analyzing stability and decay rates of harmonic map heat flow solutions.
method Use of homogeneous Besov space B˙p,dp(Rd)\dot{B}^{\frac{d}{p}}_{p,\infty}(\mathbb{R}^d) for small initial data and self-similar decay assumption.
result Decay rates for solutions of the harmonic map flow of the form ablau(t)L(Rd)Ct12\| abla u(t) \|_{L^\infty(\mathbb{R}^d)}\leq Ct^{-\frac12} and self-similar decay under stronger initial conditions.

In this paper we construct an end of a self-similar shrinking solution of the mean curvature flow asymptotic to an isoparametric cone C and lying outside of C. We call a cone C in Rn+1R^{n+1} an isoparametric cone if C is the cone over a compact embedded isoparametric hypersurface ΓSnΓ\subset S^n. The theory of isoparamet…

2015-10-24abs ↗pdf ↗

Lipschitz equivalence of self-similar sets is an important area in the study of fractal geometry. It is known that two dust-like self-similar sets with the same contraction ratios are always Lipschitz equivalent. However, when self-similar sets have touching structures the problem of Lipschitz equivalence becomes much …

2012-07-28abs ↗pdf ↗

Random neural networks with ReLU activations are non-Gaussian processes.

problem Understanding the behavior of neural networks with random initialization and rectified linear units.
method Proving these networks are non-Gaussian processes and deriving their properties.
result These networks can converge to non-Gaussian processes under certain conditions.

Two self-similar solutions found for time-like hypersurfaces in Minkowski spacetime.

problem Finding self-similar solutions for time-like extremal hypersurfaces in Minkowski spacetime.
method Explicit construction of two self-similar solutions.
result An untable eigenvalue found in the linearized equation around the solutions.

Classifies self-similar curve shortening flows in hyperbolic 2-space.

problem Classifying self-similar curve shortening flows in hyperbolic 2-space.
method Analyzes and classifies solutions in hyperbolic 2-space.
result Completes the classification of self-similar curve shortening flows in constant curvature model spaces in 2-dimensions.

Study properties of self-similar continua with finite intersection property.

problem Characterize self-similar continua with finite intersection property.
method Prove intersection graph criterion, finite order theorem, and parameter matching theorem.
result All Jordan arcs starting from a intersection point in such continuum on a plane should have the same slope parameter at that point.