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Recently, we have proposed a new diffusive representation for fractional derivatives and, based on this representation, suggested an algorithm for their numerical computation. From the construction of the algorithm, it is immediately…

Numerical Analysis · Mathematics 2022-04-12 Kai Diethelm

Can a positive function on R have zero Lebesgue integral? It depends on how much choice one has. Keywords: Lebesgue integral; Zermelo--Fraenkel theory; Feferman-Levy model

Classical Analysis and ODEs · Mathematics 2017-05-02 Vladimir Kanovei , Mikhail G. Katz

This paper contains a new elementary proof of the Fundamental Theorem of Calculus for the Lebesgue integral. The hardest part of our proof simply concerns the convergence in ${\rm L}^1$ of a certain sequence of step functions, and we prove…

Classical Analysis and ODEs · Mathematics 2012-03-08 Rodrigo López Pouso

We prove Euler-Lagrange fractional equations and sufficient optimality conditions for problems of the calculus of variations with functionals containing both fractional derivatives and fractional integrals in the sense of Riemann-Liouville.

Optimization and Control · Mathematics 2009-10-02 Ricardo Almeida , Delfim F. M. Torres

Using a generalized Littlewood theorem concerning integrals of the logarithm of analytical functions, we have established a few equalities involving integrals of the logarithm of the Riemann Zeta-function and have rigorously proven that…

Number Theory · Mathematics 2008-06-11 Sergey K. Sekatskii , Stefano Beltraminelli , Danilo Merlini

This paper provides a new categorification of the Lebesgue integral with variable upper limits by using normed modules over finite-dimensional $\Bbbk$-algebras $\mathit{\Lambda}$ and the category $\mathscr{A}^p_{\mathit{\Lambda}}$…

Category Theory · Mathematics 2025-05-01 Miantao Liu , Yu-Zhe Liu , Shengda Liu

In this paper the numerical approximation of solutions of Liouville-Master Equations for time-dependent distribution functions of Piecewise Deterministic Processes with memory is considered. These equations are linear hyperbolic PDEs with…

Numerical Analysis · Mathematics 2007-05-23 Mario Annunziato

The order derivatives of the modified Bessel function of the second kind at s = .5 are obtained as finite expressions of integrals that generalize the exponential integral appearing in the first derivative (Theorem 1.) The derivatives arise…

Classical Analysis and ODEs · Mathematics 2021-05-04 Charles Ryavec

Some Caputo q-fractional difference equations are solved. The solutions are expressed by means of a new introduced generalized type of q-Mittag-Leffler functions. The method of successive approximation is used to obtain the solutions. The…

Dynamical Systems · Mathematics 2011-02-09 Thabet Abdeljawad , Betül Benli

In partially linear models the dependence of the response y on (x^T,t) is modeled through the relationship y=\x^T \beta+g(t)+\epsilon where \epsilon is independent of (x^T,t). In this paper, estimators of \beta and g are constructed when…

Statistics Theory · Mathematics 2010-03-09 Wenceslao Gonzalez-Manteiga , Guillermo Henry , Daniela Rodriguez

In this paper we demonstrate how to partition the real number line into four subsets which may be reassembled, via "piecewise rigid functions" that preserve Lebesgue measure, into two copies of the line. We then employ a similar process to…

Group Theory · Mathematics 2015-11-05 Shelley Kandola , Sam Vandervelde

Let $1/2\leq\beta<1$, $p$ be a generic prime number and $f_\beta$ be a random multiplicative function supported on the squarefree integers such that $(f_\beta(p))_{p}$ is an i.i.d. sequence of random variables with distribution…

Number Theory · Mathematics 2020-09-22 Marco Aymone

For a $C^2$ function $u$ and an elliptic operator $L$, we prove a quantitative estimate for the derivative $du$ in terms of local bounds on $u$ and $Lu$. An integral version of this estimate is then used to derive a condition for the…

Analysis of PDEs · Mathematics 2018-02-06 Li-Juan Cheng , Anton Thalmaier , James Thompson

In this effort, we derive a formula for the integral representation of a shallow neural network with the ReLU activation function. We assume that the outer weighs admit a finite $L_1$-norm with respect to Lebesgue measure on the sphere. For…

Machine Learning · Computer Science 2020-06-12 Armenak Petrosyan , Anton Dereventsov , Clayton Webster

The goal of this note is to provide a recursive algorithm that allows one to calculate the expansion of the metric tensor up to the desired order in Riemann normal coordinates. We test our expressions up to fourth order and predict results…

High Energy Physics - Theory · Physics 2007-05-23 Agapitos Hatzinikitas

In this paper we give simple sufficient conditions for linear type processes with short memory that imply the invariance principle. Various examples including projective criterion are considered as applications. In particular, we treat the…

Probability · Mathematics 2007-05-23 Magda Peligrad , Sergey Utev

We aim to introduce a new extension of Mittag-Leffler function via q-analogue and obtained their significant properties including integral representation, q-differentiation, q-Laplace transform, image formula under q-derivative operators.…

Classical Analysis and ODEs · Mathematics 2019-01-18 Raghib Nadeem , Mohd. Saif , Talha Usman , Abdul Hakim Khan

We prove a duality theorem the computation of certain Bellman functions is usually based on. As a byproduct, we obtain sharp results about the norms of monotonic rearrangements. The main novelty of our approach is a special class of…

Optimization and Control · Mathematics 2016-04-07 Dmitriy M. Stolyarov , Pavel B. Zatitskiy

It is known that the nonnegativity of Li coefficients is a necessary and sufficient condition for the Riemann hypothesis. We show that it is a necessary and sufficient condition for the Riemann hypothesis that all Li coefficients are norms…

Number Theory · Mathematics 2023-06-16 Masatoshi Suzuki

Diffusion limits provide a framework for the asymptotic analysis of stochastic gradient descent (SGD) schemes used in machine learning. We consider an alternative framework, the Riemannian Langevin equation (RLE), that generalizes the…

Probability · Mathematics 2023-02-24 Govind Menon , Tianmin Yu
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