Research
On-device research index

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

Trend · papers per month

66132198264 · May 202619922001200920172026
48 results for asymptotic equivalence

We study the bilipschitz equivalence type of tree-graded spaces, showing that asymptotic cones of relatively hyperbolic groups (resp. asymptotic cones of groups containing a cut-point) only depend on the bilipschitz equivalence types of the pieces in the standard (resp. minimal) tree-graded structure. In particular, th…

2012-04-03abs ↗pdf ↗

The paper studies properties of group relations induced by compatible coarse structures.

problem Properties of asymptotic resemblance relations on groups.
method Generalization of asymptotic dimension and introduction of set theoretic coupling.
result Groups with compatible coarse structures that admit a set theoretic coupling are asymptotic equivalent.

New equivalences found between subsampling and ridge regularization methods.

problem Establishing precise structural and risk equivalences between subsampling and ridge regularization.
method Proved structural and risk equivalences between subsample ridge estimators and different ridge regularization levels and subsample aspect ratios.
result Optimally tuned ridge regression exhibits a monotonic prediction risk in the data aspect ratio.

Proposes new rule for ranking investment prospects over long horizons.

problem Ranking investment prospects over long horizons considering bounded risk aversion.
method Introduces asymptotic fractional-order stochastic dominance with bounded relative risk aversion.
result Establishes equivalent conditions for the new rule under lognormal returns without mean non-negativity constraint.

The study connects norms and filtrations on section rings of projective manifolds.

problem Understanding norms and filtrations on section rings of polarized projective manifolds.
method Analyzes submultiplicative norms and their equivalence to sup-norms, discusses applications to spectral theory and holomorphic extension.
result Injective and projective tensor norms on symmetric algebras are asymptotically equivalent.

The paper introduces a new equivalence relation for finitely presented groups based on their asymptotic topology.

problem Classifying finitely presented groups based on their asymptotic topology.
method Introducing a new equivalence relation (proper 2-equivalence) and studying its properties.
result Finitely presented groups with specific properties are classified up to proper 2-equivalence.

Random Transformers behave like polynomial models in ICL with asymptotic growth.

problem Understanding in-context learning capabilities of pretrained Transformers.
method Asymptotic analysis of a random Transformer with a fixed first layer and a trained second layer, considering growth in context length, input dimension, hidden dimension, and training parameters.
result The random Transformer's ICL error is equivalent to a finite-degree Hermite polynomial model.

Authors prove an asymptotic expansion for spectral zeta functions on discrete tori.

problem Proving an asymptotic expansion for spectral zeta functions on discrete tori.
method Inspired by Friedli and Karlsson's work, the authors derive an asymptotic expansion for the spectral zeta function on discrete tori.
result Similar asymptotic expansions hold for m=2 and higher dimensions, equivalent to the Epstein-Riemann conjecture.

We consider two cases of the asymptotically flat scalar-flat Yamabe problem on a non-compact manifold with boundary, in dimension n3n\geq3. First, following arguments of Cantor and Brill in the compact case, we show that given an asymptotically flat metric gg, there is a conformally equivalent asymptotically flat scal…

2016-03-17abs ↗pdf ↗

In [16], a new family of vector-valued risk measures called multivariate expectiles is introduced. In this paper, we focus on the asymptotic behavior of these measures in a multivariate regular variations context. For models with equivalent tails, we propose an estimator of these multivariate asymptotic expectiles, in …

2017-04-24abs ↗pdf ↗

The paper proves a non-asymptotic test error approximation for KRR.

problem Understanding the test error of Kernel Ridge Regression.
method Established a non-asymptotic deterministic approximation for test error of KRR.
result The test error of KRR can be approximated by a closed-form estimate derived from the spectrum of the kernel operator.

Paper proves injectivity of non-abelian X-ray transform on certain spaces.

problem Injectivity of non-abelian X-ray transform on asymptotically hyperbolic spaces.
method Gauge equivalence for unitary connections and skew-Hermitian Higgs fields.
result Injectivity result for non-abelian X-ray transform over skew-Hermitian Higgs fields.

This work analyzes self-attention matrices using random matrix theory.

problem Understanding the theoretical behavior of self-attention layers in neural networks.
method Asymptotic spectral analysis of the attention matrix, Gaussian equivalence, and linearization.
result The singular value distribution of the attention matrix is asymptotically characterized by a linear model.

The paper analyzes the statistical properties of GANs using ff-divergence.

problem Understanding the statistical behavior of GANs and comparing different ff-divergences.
method Asymptotic analysis of ff-divergence GANs, including Kullback-Leibler divergence.
result Asymptotically equivalent GANs with the same discriminator classes for correctly specified models.

In the context of the Heston model, we establish a precise link between the set of equivalent martingale measures, the ergodicity of the underlying variance process and the concept of asymptotic arbitrage proposed in Kabanov-Kramkov and in Follmer-Schachermayer.

2013-02-26abs ↗pdf ↗

This article investigates the eigenspectrum of the inner product-type kernel matrix pK={f(xiTxj/p)}i,j=1n\sqrt{p} \mathbf{K}=\{f( \mathbf{x}_i^{\sf T} \mathbf{x}_j/\sqrt{p})\}_{i,j=1}^n under a binary mixture model in the high dimensional regime where the number of data nn and their dimension pp are both large and comparable. Based on…

2019-09-15abs ↗pdf ↗

Study on Teichmüller rays' asymptotic behavior and distances.

problem Understanding the asymptotic behavior of Teichmüller rays.
method Explicit formula derivation for limiting Teichmüller distance under specific conditions.
result Two Teichmüller rays are asymptotic if their vertical measured foliations are modularly equivalent and their limit surfaces coincide.

We study asymptotically harmonic manifolds of negative curvature, without any cocompactness or homogeneity assumption. We show that asymptotic harmonicity provides a lot of information on the asymptotic geometry of these spaces: in particular, we determine the volume entropy, the spectrum and the relative densities of …

2012-03-12abs ↗pdf ↗

Study of two-layer NNs under Gaussian mixtures data, proving polynomial models equivalent to neural networks.

problem Training and generalization performance of two-layer NNs under structured Gaussian mixture data.
method Asymptotic analysis of two-layer NNs after one gradient descent step under Gaussian mixture data assumption.
result High-order polynomial models equivalent to nonlinear neural networks under certain conditions.

Two operators are equivalent in geometric scattering theory under certain conditions.

problem Equivalence of identification operators in geometric scattering theory.
method Proving a criterion for the equality of two wave operators using asymptotic equivalence of operators.
result Equality of wave operators under specific conditions in geometric settings.

Random branched covers of groups are homotopy equivalent to geometrically small cancellation complexes.

problem Understanding the topological properties of random branched covers of groups.
method Constructing a random model for branched covers and showing asymptotic homotopy equivalence to geometrically small cancellation complexes.
result The fundamental group of a random branched cover is Gromov hyperbolic and has small cohomological dimension.

Two curves in hyperbolic space share a bounded distance, leading to a minimizing surface.

problem Finding a surface minimizing area between two disjoint curves in hyperbolic space.
method Analyzing the asymptotic boundary of hyperbolic 3-space, applying Definition 1.8 for distance bounds, and proving Theorems 1.7 and 1.11.
result Existence of an area-minimizing surface between two disjoint curves with bounded distance.

Deep random feature models are analyzed for their performance with exact asymptotic expressions.

problem Understanding the performance of deep random feature models.
method Established a novel universality result and used the convex Gaussian Min-Max theorem.
result Exact asymptotic expressions for the performance of deep random feature models are derived.

In this article we consider asymptotically harmonic manifolds which are simply connected complete Riemannian manifolds without conjugate points such that all horospheres have the same constant mean curvature hh. We prove the following equivalences for asymptotically harmonic manifolds XX under the additional assumpti…

2013-07-02abs ↗pdf ↗

We investigate the asymptotics of the total number of simple 4a+14a+1-knots with Alexander polynomial of the form mt2+(12m)t+mmt^2 +(1-2m) t + m for some m[X,X]m \in [-X, X]. Using Kearton and Levine's classification of simple knots, we give equivalent algebraic and arithmetic formulations of this counting question. In particular, thi…

2019-05-10abs ↗pdf ↗

We introduce a concept of tree-graded metric space and we use it to show quasi-isometry invariance of certain classes of relatively hyperbolic groups, to obtain a characterization of relatively hyperbolic groups in terms of their asymptotic cones, to find geometric properties of Cayley graphs of relatively hyperbolic g…

2004-05-03abs ↗pdf ↗

Directed acyclic graph (DAG) models are popular for capturing causal relationships. From observational and interventional data, a DAG model can only be determined up to its \emph{interventional Markov equivalence class} (I-MEC). We investigate the size of MECs for random DAG models generated by uniformly sampling and o…

2019-03-05abs ↗pdf ↗

The study shows how geometric Weyl bulk-density exponent rigidifies spectral encodings in O-regularly varying classes.

problem Understanding spectral encodings under Weyl growth conditions.
method Analyzing geometric Weyl bulk-density exponent and proving spectral rigidity.
result The geometric Weyl bulk-density exponent (d2)/2(d-2)/2 rigidifies spectral encodings in the O-regularly varying class, leading to unique admissible exponents and scaling laws.

In this note, we use Chern's magic form ΦkΦ_k in his famous proof of the Gauss-Bonnet theorem to define a mass for asymptotically flat manifolds. It turns out that the new defined mass is equivalent to the one that we introduced recently by using the Gauss-Bonnet-Chern curvature LkL_k. Moreover, this equivalence implie…

2015-10-11abs ↗pdf ↗

The main result of the paper is a version of the fundamental theorem of asset pricing (FTAP) for large financial markets based on an asymptotic concept of no market free lunch for monotone concave preferences. The proof uses methods from the theory of Orlicz spaces. Moreover, various notions of no asymptotic arbitrage …

2007-02-14abs ↗pdf ↗

Study shows double descent curve in high-dimensional linear regression with random projections.

problem Understanding the generalization performance in high-dimensional settings with random projections.
method Fixed prediction problem, ridge regression estimator, minimum norm least-squares fit, random matrix theory, asymptotic equivalents.
result Exhibit a double descent curve for high-dimensional linear regression with random projections.

Uniqueness proven for specific types of geometric structures.

problem Proving uniqueness of asymptotically conical gradient shrinking solitons.
method Extends Kotschwar and Wang's argument for uniqueness of AC gradient shrinking Ricci solitons.
result G_2-structures are equivalent if asymptotically conical and asymptotic to the same closed G_2-cone.

Geometric models help classify infinite-type surface mapping class groups.

problem Classifying the asymptotic dimension of infinite-type surface mapping class groups.
method Constructing metric graphs of simple arcs and curves preserved by the action of the group, showing coarse and quasi-isometric properties.
result The asymptotic dimension of stable boundedly generated infinite-type surface mapping class groups is infinite.