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Both the mean square polynomial stability and exponential stability of $\theta$ Euler-Maruyama approximation solutions of stochastic differential equations will be investigated for each $0\le\theta\le 1$ by using an auxiliary function $F$…

Numerical Analysis · Mathematics 2014-09-18 Yunjiao Hu , Guangqiang Lan , Chong Zhang

Let $f$ be a zero-mean continuous stationary Gaussian process on ${\mathbb R}$ whose spectral measure vanishes in a $\delta$-neighborhood of the origin. Then the probability that $f$ stays non-negative on an interval of length $L$ is at…

Probability · Mathematics 2018-10-23 Naomi Feldheim , Ohad Feldheim , Benjamin Jaye , Fedor Nazarov , Shahaf Nitzan

A $\textit{square-full}$ number is a positive integer for which all its prime divisors divide itself at least twice. The counting function of square-full integers of the form $f(n)$ for $n\leqslant N$ is denoted by…

Number Theory · Mathematics 2026-01-14 Watcharakiete Wongcharoenbhorn , Yotsanan Meemark

Consider a discrete-time martingale $\{X_t\}$ taking values in a Hilbert space $\mathcal H$. We show that if for some $L \geq 1$, the bounds $\mathbb{E} \left[\|X_{t+1}-X_t\|_{\mathcal H}^2 \mid X_t\right]=1$ and $\|X_{t+1}-X_t\|_{\mathcal…

Probability · Mathematics 2015-09-10 James R. Lee , Yuval Peres , Charles K. Smart

We prove the following superexponential distribution inequality: for any integrable $g$ on $[0,1)^{d}$ with zero average, and any $\lambda>0$ \[ |\{ x \in [0,1)^{d} \; :\; g \geq\lambda \}| \leq e^{-…

Analysis of PDEs · Mathematics 2017-11-21 Paata Ivanisvili , Sergei Treil

Let $\alpha\in(0,1)\setminus{\Bbb Q}$ and $K=\{(e^z,e^{\alpha z}):\,|z|\leq1\}\subset{\Bbb C}^2$. If $P$ is a polynomial of degree $n$ in ${\Bbb C}^2$, normalized by $\|P\|_K=1$, we obtain sharp estimates for $\|P\|_{\Delta^2}$ in terms of…

Complex Variables · Mathematics 2010-09-23 Dan Coman , Evgeny A. Poletsky

We investigate a possible definition of expectation and conditional expectation for random variables with values in a local field such as the $p$-adic numbers. We define the expectation by analogy with the observation that for real-valued…

Probability · Mathematics 2007-05-23 Steven N. Evans , Tye Lidman

A differentiable function is pseudoconvex if and only if its restrictions over straight lines are pseudoconvex. A differentiable function depending on one variable, defined on some closed interval $[a,b]$ is pseudoconvex if and only if…

Optimization and Control · Mathematics 2019-11-19 Vsevolod Ivanov Ivanov

We obtain asymptotic formulae for the second discrete moments of the Riemann zeta function over arithmetic progressions $\frac{1}{2} + i(a n + b)$. It reveals noticeable relation between the discrete moments and the continuous moment of the…

Number Theory · Mathematics 2024-01-04 Hirotaka Kobayashi

An algorithm$^{\ref{Fig1}}$ has been developed with the purpose of obtaining inverse potentials, where the Riccati-type non-linear differential equation, also called phase equation, has been kept in tandem with the Variational Monte Carlo…

Nuclear Theory · Physics 2024-04-09 Anil Khachi , Shikha Awasthi , Lalit Kumar , O. S. K. S Sastri

Let f be a function defined on positive numbers. The subject is the trace inequality $Tr f(A) + Tr f(P_2AP_2) \le Tr f(P_{12}AP_{12}) + \Tr f(P_{23}AP_{23})$, where $A$ is a positive operator, $P_1,P_2,P_3$ are orthogonal projections such…

Functional Analysis · Mathematics 2010-07-28 Koenraad Audenaer , Fumio Hiai , Denes Petz

We consider the problem of estimating functionals of discrete distributions, and focus on tight nonasymptotic analysis of the worst case squared error risk of widely used estimators. We apply concentration inequalities to analyze the random…

Information Theory · Computer Science 2017-08-11 Jiantao Jiao , Kartik Venkat , Yanjun Han , Tsachy Weissman

Many continuous wavelets are defined in the frequency domain and do not have analytical expressions in the time domain. Meyer wavelet is ordinarily defined in this way. In this note, we derive new straightforward analytical expressions for…

Methodology · Statistics 2019-09-27 V. VV. Vermehren , H. M. de Oliveira

Under a generalized skew normal distribution we consider the problem of European option pricing. Existence of the martingale measure is proved. An explicit expression for a given European option price is presented in terms of the cumulative…

Pricing of Securities · Quantitative Finance 2017-08-01 Mahdi Doostparast

An efficient numerical quadrature is proposed for the approximate calculation of the potential energy in the context of pseudo potential electronic structure calculations with Daubechies wavelet and scaling function basis sets. Our…

Computational Physics · Physics 2009-11-11 A. I. Neelov , S. Goedecker

In this paper, we introduce a new approach to constructing unbiased estimators when computing expectations of path functionals associated with stochastic differential equations (SDEs). Our randomization idea is closely related to…

Computational Finance · Quantitative Finance 2012-07-11 Chang-han Rhee , Peter W. Glynn

An isotropic passive scalar field $T$ advected by a rapidly-varying velocity field is studied. The tail of the probability distribution $P(\theta,r)$ for the difference $\theta$ in $T$ across an inertial-range distance $r$ is found to be…

chao-dyn · Physics 2009-10-28 Robert H. Kraichnan

We consider the following problem in stochastic portfolio theory. Are there portfolios that are relative arbitrages with respect to the market portfolio over very short periods of time under realistic assumptions? We answer a slightly…

Probability · Mathematics 2016-03-15 Soumik Pal

The main purpose of this paper is to compute all irreducible spherical functions on $G=\SU(3)$ of arbitrary type $\delta\in \hat K$, where $K={\mathrm{S}}(\mathrm{U}(2)\times\mathrm{U}(1))\simeq\mathrm{U}(2)$. This is accomplished by…

Representation Theory · Mathematics 2007-05-23 F. A. Grunbaum , I. Pacharoni , J. Tirao

We consider in this paper a Gaussian sequence model of observations $Y_i$, $i\geq 1$ having mean (or signal) $\theta_i$ and variance $\sigma_i$ which is growing polynomially like $i^\gamma$, $\gamma >0$. This model describes a large panel…

Statistics Theory · Mathematics 2009-02-16 Cristina Butucea , Katia Méziani
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