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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.

168,657 papers · 148 categories

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4794141188 · May 202619922001200920172026
48 results for normal growth exponent

The study examines the normal growth exponent of submanifolds in negatively curved manifolds.

problem Understanding the normal growth exponent of submanifolds in negatively curved manifolds.
method Analyzing the geodesic flow and operator norms on submanifolds bi-Lipschitz to hyperbolic spaces.
result If a submanifold's normal growth exponent is at most 1, the ambient manifold is bi-Lipschitz to hyperbolic space.

Research examines coamenable subgroups in higher rank groups.

problem Investigates coamenable normal subgroups in higher rank groups.
method Analyzes three complementary phenomena in higher rank groups.
result Growth indicators of coamenable subgroups are not preserved but the Riemannian critical exponent remains rigid.

Let ΓΓ be a (non-elementary) convex co-compact group of isometries of a pinched Hadamard manifold XX. We show that a normal subgroup Γ0Γ_0 has critical exponent equal to the critical exponent of ΓΓ if and only if Γ/Γ0Γ/ Γ_0 is amenable. We prove a similar result for the exponential growth rate of closed geodesics on $…

2014-11-25abs ↗pdf ↗

Equity activity is an essential topic for financial market studies. To explore its statistical regularities, we comprehensively examine the trading value, a measure of the equity activity, of the 3314 most-traded stocks in the U.S. equity market and find that (i) the trading values follow a log-normal distribution; (ii…

2009-11-22abs ↗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.

We analyze a database comprising quarterly sales of 55624 pharmaceutical products commercialized by 3939 pharmaceutical firms in the period 1992--2001. We study the probability density function (PDF) of growth in firms and product sales and find that the width of the PDF of growth decays with the sales as a power law w…

2005-02-15abs ↗pdf ↗

Study shows exponential growth of Laplacian determinant on random hyperbolic surfaces.

problem Understanding the behavior of Laplacian determinants on random hyperbolic surfaces.
method Investigated various models of random hyperbolic surfaces and their Laplacian determinants as genus increases.
result For all popular models, the determinant grows exponentially with a universal exponent as the genus goes to infinity.

For any geodesic current we associated a quasi-metric space. For a subclass of geodesic currents, called filling, it defines a metric and we study the critical exponent associated to this space. We show that is is equal to the exponential growth rate of the intersection function for closed curves.

2017-04-21abs ↗pdf ↗

Following the work of Okuyama, Takayasu and Takayasu [Okuyama, Takayasu and Takayasu 1999] we analyze huge databases of Japanese companies' financial figures and confirm that the Zipf's law, a power law distribution with the exponent -1, has been maintained over 30 years in the income distribution of Japanese companies…

2003-08-19abs ↗pdf ↗

Study of deep neural networks using finite-time Lyapunov exponents.

problem Understanding the geometric structures in input space formed by deep neural networks.
method Analogy with dynamical systems, computing finite-time Lyapunov exponents.
result Ridges of large positive exponents divide input space into regions associated with different classes.

We address the question of the growth of firm size. To this end, we analyze the Compustat data base comprising all publicly-traded United States manufacturing firms within the years 1974-1993. We find that the distribution of firm sizes remains stable for the 20 years we study, i.e., the mean value and standard deviati…

1997-02-10abs ↗pdf ↗

We present a preferential attachment growth model to obtain the distribution P(K)P(K) of number of units KK in the classes which may represent business firms or other socio-economic entities. We found that P(K)P(K) is described in its central part by a power law with an exponent φ=2+b/(1b)φ=2+b/(1-b) which depends on the probabil…

2006-09-04abs ↗pdf ↗

Study approximates top Lyapunov exponents for surface mapping classes.

problem Approximating topological Lyapunov exponents for surface mapping classes.
method Periodic approximation and joint spectral radius extension.
result Top Lyapunov exponents can be approximated by periodic orbits.

New CRM models for sparse networks with linear edge growth.

problem Modeling extremely sparse networks with tractable properties.
method Introduced a new class of CRMs with index of variation α∈(0,1] based on mixtures of stable or generalized gamma processes.
result Models produce networks with near-linear edge growth, aligning with empirical evidence.

We study and generalize in various ways the model of rational expectation (RE) bubbles introduced by Blanchard and Watson in the economic literature. First, bubbles are argued to be the equivalent of Goldstone modes of the fundamental rational pricing equation, associated with the symmetry-breaking introduced by non-va…

2001-02-16abs ↗pdf ↗

Study critical exponents on hyperbolic surfaces with long boundaries using Weil-Petersson measures.

problem Analyzing critical exponents on hyperbolic surfaces with long boundaries.
method Using spine graph construction and comparing normalized Weil-Petersson and Kontsevich measures.
result Asymptotic convergence-in-mean result of normalized Weil-Petersson measures to normalized Kontsevich measures.

Critical volatility triggers log-normal to power-law transitions in interconnected systems.

problem Understanding the transition from log-normal to power-law distributions in interconnected systems.
method Analyzing an infinite option-on-option chain model, deriving a critical volatility threshold.
result A critical volatility threshold of approximately 250.66% for unconditional cases, dropping to 125.3% with selective survival.

The growth of business firms is an example of a system of complex interacting units that resembles complex interacting systems in nature such as earthquakes. Remarkably, work in econophysics has provided evidence that the statistical properties of the growth of business firms follow the same sorts of power laws that ch…

2017-12-06abs ↗pdf ↗

We prove that for a relatively hyperbolic group G there is a sequence of relatively hyperbolic proper quotients such that their growth rates converge to the growth rate of G. Under natural assumptions, the same conclusion holds for the critical exponent of a cusp-uniform action of G on a hyperbolic metric space. As a c…

2013-08-28abs ↗pdf ↗

We analyze the fluctuations in the gross domestic product (GDP) of 152 countries for the period 1950--1992. We find that (i) the distribution of annual growth rates for countries of a given GDP decays with ``fatter'' tails than for a Gaussian, and (ii) the width of the distribution scales as a power law of GDP with a s…

1998-04-08abs ↗pdf ↗

This paper considers the growth in the length of one-dimensional trajectories as they are passed through deep ReLU neural networks, which, among other things, is one measure of the expressivity of deep networks. We generalise existing results, providing an alternative, simpler method for lower bounding expected traject…

2019-11-25abs ↗pdf ↗

Anosov subgroups' deformations affect limit cones and growth indicators continuously.

problem Understanding continuous changes in Anosov subgroups' effects on limit cones and growth indicators.
method Continuous variation of limit cones and growth indicators under deformations of Anosov subgroups, with convexity assumptions.
result Limit cones and growth indicators vary continuously under deformations of Anosov subgroups.

Near-interpolating models grow norms quickly, affecting generalization.

problem Understanding the trade-off between interpolation and generalization in near-interpolating models.
method Random matrix theory and eigendecay analysis of data covariance matrix.
result Near-interpolating models exhibit rapid norm growth and worse generalization trade-offs.

We consider the stochastic volatility model dSt=σtStdWt,dσt=ωσtdZtdS_t = σ_t S_t dW_t,dσ_t = ωσ_t dZ_t, with (Wt,Zt)(W_t,Z_t) uncorrelated standard Brownian motions. This is a special case of the Hull-White and the β=1β=1 (log-normal) SABR model, which are widely used in financial practice. We study the properties of this model, discretized in …

2017-07-04abs ↗pdf ↗

Study shows how to learn optimal policies quickly in stochastic control problems.

problem Learning optimal policies in large, continuous state and action spaces with limited data.
method Analyzes three geometric exponents to quantify fast policy regret convergence.
result Shows that fast policy regret convergence is induced by specific geometric structures.

The paper proves Zimmer's conjecture for non-uniform lattices by controlling mass escape and Lyapunov exponents.

problem Proving Zimmer's conjecture for non-uniform lattices in higher-rank semisimple Lie groups.
method Establishes finiteness of low-dimensional actions, introduces novel techniques to control mass escape and Lyapunov exponents.
result Proves Zimmer's conjecture for many non-uniform lattices, improving previous results.

New method stabilizes deep neural networks by setting Lyapunov exponent to zero.

problem Stability issues in deep neural networks with low width.
method Lyapunov initialization method to set Lyapunov exponent to zero.
result Lyapunov exponent governs stability of deep networks; standard methods fail for low width.

The state of a stochastic process evolving over a time tt is typically assumed to lie on a normal distribution whose width scales like t1/2t^{1/2}. However, processes where the probability distribution is not normal and the scaling exponent differs from 12\frac{1}{2} are known. The search for possible origins of such "a…

2017-04-07abs ↗pdf ↗

We construct a Teichmueller curve uniformized by the Fuchsian triangle group (m,n,\infty) for every m<n. Our construction includes the Teichmueller curves constructed by Veech and Ward as special cases. The construction essentially relies on properties of hypergeometric differential operators. For small m, we find Bill…

2005-11-30abs ↗pdf ↗

nGPT learns to transfer learning rates across model dimensions and token horizons.

problem nGPT does not transfer learning rates across model size and token horizon.
method Combining numerical experiments with alignment exponents, a novel nGPT parameterization νGPT is developed.
result νGPT exhibits learning rate transfer across width, depth, and token horizon.

Growth of monetary assets and debts is commonly described by the formula of compound interest which for the case of continuous compounding is the exponential growth law. Its differential form is dc/dt = i c where dc/dt describes the rate of monetary growth, i the compounded interest rate and c the actual principal. Exp…

2012-04-30abs ↗pdf ↗

We give lower bounds for the growth of the number of Reeb chords and for the volume growth of Reeb flows on spherizations over closed manifolds M that are not of finite type, have virtually polycyclic fundamental group, and satisfy a mild assumption on the homology of the based loop space. For the special case of geode…

2013-09-25abs ↗pdf ↗

The paper is concerned with the problem of existence of solutions for the Heath-Jarrow-Morton equation with linear volatility. Necessary conditions and sufficient conditions for the existence of weak solutions and strong solutions are provided. It is shown that the key role is played by the logarithmic growth condition…

2010-10-27abs ↗pdf ↗

Regularization is used to find a solution that both fits the data and is sufficiently smooth, and thereby is very effective for designing and refining learning algorithms. But the influence of its exponent remains poorly understood. In particular, it is unclear how the exponent of the reproducing kernel Hilbert space~(…

2013-10-09abs ↗pdf ↗

In this paper, we show how the sampling properties of the Hurst exponent methods of estimation change with the presence of heavy tails. We run extensive Monte Carlo simulations to find out how rescaled range analysis (R/S), multifractal detrended fluctuation analysis (MF-DFA), detrending moving average (DMA) and genera…

2012-01-23abs ↗pdf ↗

mfBm models and forecasts volatility with different Hurst exponents and correlations.

problem Modeling and forecasting volatility with varying Hurst exponents and correlations.
method Multivariate fractional Brownian motion (mfBm) with component-wise Hurst exponents, novel estimation method, time-reversibility test.
result mfBm reduces forecasting errors compared to a one-dimensional model and outperforms HAR model.

The paper bounds growth indicator functions for discrete subgroups in algebraic groups.

problem Bounding growth indicator functions for discrete subgroups in algebraic groups.
method Pointwise bound and equality conditions for growth indicator functions.
result Strict inequalities and equality conditions for growth indicator functions.

In this paper, we prove that if a metric measure space satisfies the volume doubling condition and the Caffarelli-Kohn-Nirenberg inequality with same exponent n(n>1), then it has exactly n-dimensional volume growth. As application, we obtain geometric and topological properties of Alexandrov space, Riemannian manifold …

2017-11-13abs ↗pdf ↗