The Open Journal of Mathematical Analysis (OMA) ISSN: 2616-8103 (Print), 2616-8111(Online) is an international research journal dedicated to the publication of original and high quality research papers that treat the mathematical analysis in broad and abstract settings. To ensure fast publication, editorial decisions on acceptance or otherwise are taken within 4 to 12 weeks (three months) of receipt of the paper.
Accepted articles are immediately published online as soon as they are ready for publication. There is one volume containing two issues per year. The issues will be finalized in June and December of every year. The printed version will be published in December of every year. The journal will also publish survey articles giving details of research progress made during the last three decades in a particular area.
We show that the universal covering space of a connected component of a regular level set of a smooth complex valued function on \({\mathbb{C}}^2\), which is a smooth affine Riemann surface, is \({\mathbb{R} }^2\). This implies that the orbit space of the action of the covering group on \({\mathbb{R} }^2\) is the original affine Riemann surface.
This paper investigates the stationary probability distribution of the well-known stochastic logistic equation under regime switching. Sufficient conditions for the asymptotic stability of both the zero solution and the positive equilibrium are derived. The stationary distribution of the logistic equation under Markovian switching is obtained by computing the weighted mean of the stationary distributions of its subsystems. The weights correspond to the limiting distribution of the underlying Markov chain.
In medical and biomedical research, real data sets often exhibit characteristics such as bimodality, unimodality, or asymmetry. Among the generalized regression models commonly employed for analyzing such data are the Kumaraswamy and gamma-normal models. This study introduces two new generalized regression models based on the Harmonic Mixture Weibull-Normal distribution: one with varying dispersion and the other with constant dispersion. Additionally, a novel experimental design model was developed using the same distribution framework. The proposed models demonstrated the capability to effectively capture symmetric, asymmetric, and bimodal response variables. Model parameters were estimated using the maximum likelihood method, and simulation experiments were conducted to assess the behavior of the model coefficients. Empirical results revealed that the newly developed models outperformed several established alternatives, making them more practical for biomedical applications. Residual analysis further confirmed the adequacy of the proposed models, supporting their suitability for analyzing complex data in biomedical research.
The paper aims to investigate the existence and uniqueness of weak solution, using the Browder Theorem method, for the nonlocal \((p,q)\)-Kirchhoff system:
\[\begin{cases}
-K_{1}\big(\int_{\Omega}|\nabla \phi|^{p}\big)\Delta_{p}\phi+\lambda a(x)|\phi|^{p-2}\phi=f_1(x,\phi,\psi), & x\in \Omega \\
-K_{2}\big(\int_{\Omega}|\nabla \psi|^{q}\big)\Delta_{q}\psi+\lambda b(x)|\psi|^{q-2}v=f_2(x,\phi,\psi), & x\in \Omega \\
\phi=\psi=0, & x \in \partial\Omega
\end{cases}\]
where \(\Omega\) is a bounded domain in \(\mathbb{R}^{N}\) with smooth boundary \(\partial\Omega\), with \(K_{1},K_{2}\) be continuous functions and \(f_1,f_2\) be Carathéodory functions.
Let \(\Lambda = (\lambda_n)\) be an increasing sequence of non-negative numbers tending to \(+\infty\), with \(\lambda_0 = 0\). We denote by \(S(\Lambda, 0)\) a class of Dirichlet series \(F(s) = \sum_{n=0}^{\infty} f_n \exp\{s \lambda_n\}, \quad s = \sigma + it,\) which have an abscissa of absolute convergence \(\sigma_a = 0\). For \(\sigma < 0\), we define \( M_F(\sigma) = \sup \{|F(\sigma + it)| : t \in \mathbb{R}\}. \) The growth of the function \(F \in S(\Lambda, 0)\) is analyzed in relation to the function \( G(s) = \sum_{n=0}^{\infty} g_n \exp\{s \lambda_n\} \in S(\Lambda, 0), \) via the growth of the function \(1/|M^{-1}_G(M_F(\sigma))|\) as \(\sigma \uparrow 0\). We investigate the connection between this growth and the behavior of the coefficients \(f_n\) and \(g_n\) in terms of generalized orders.
The present paper provides a direct proof of stability of nontrivial nonnegative weak solution for fractional \(p\)-Laplacian problem under concave nonlinearity condition. The main results of this work are extend the previously known results for the fractional Laplacian problem.
In this article we provide classes of hyperbolic chains of inequalities depending on a certain parameter \(n\). New refinements as well as new results are offered. Some graphical analyses support the theoretical results.
In this article, we investigate the power convexity of two generalized forms of the invariant of the contra harmonic mean with respect to the geometric mean, and establish several inequalities involving bivariate power mean as applications. Some open problems related to the Schur power convexity and concavity are also given.
The purpose of this paper is to contribute to the development of the multidual Gamma function. For this aim, we start by defining the multidual Gamma and we propose a multidual analysis technics of in order to show a result regarding real Gamma function.
The study of innovative sequences and series is important in several fields. In this article, we examine the convergence properties of a particular product series that offers adaptability through two parameters and two functions. Based on this analysis, we extend our investigation to a related series. Our main theorems are proved in detail and include several new intermediate results that can be used for other convergence analysis purposes. This is particularly the case for a generalized version of the Riemann sum formula. Several precise examples are presented and discussed, including one related to the gamma function.