نتایج جستجو برای: spectral space

تعداد نتایج: 644588  

Journal: :journal of algebra and related topics 2013
r. ovlyaee s. maleki-roudposhti

$r$-module. in this paper, we explore more properties of $max$-injective modules and we study some conditions under which the maximal spectrum of $m$ is a $max$-spectral space for its zariski topology.

Journal: :journal of algebra and related topics 2015
h. ansari-toroghy s.s. pourmortazavi s. keyvani

in this paper, we introduce the dual notion of strongly top modules and study some of the basic properties of this class of modules.

Journal: :bulletin of the iranian mathematical society 0
h. ansari-toroghy department of pure mathematics‎, ‎faculty of mathematical sciences‎, ‎university of guilan‎, ‎p.o‎. ‎box 41335-19141‎, ‎rasht‎, ‎iran. r. ovlyaee-sarmazdeh department of pure mathematics‎, ‎faculty of mathematical sciences‎, ‎university of guilan‎, ‎p.o‎. ‎box 41335-19141‎, ‎rasht‎, ‎iran. seyed sajad pourmortazavi department of pure mathematics‎, ‎faculty of mathematical sciences‎, ‎university of guilan‎, ‎p‎. ‎o‎. ‎box 41335-19141 rasht‎, ‎iran.

let $r$ be an associative ring and let $m$ be a left $r$-module.let $spec_{r}(m)$ be the collection of all prime submodules of $m$ (equipped with classical zariski topology). there is a conjecture which says that every irreducible closed subset of $spec_{r}(m)$ has a generic point. in this article we give an affirmative answer to this conjecture and show that if $m$ has a noetherian spectrum, t...

In many applications of color technology such as spectral color reproduction it is of interest to represent the spectral data with lower dimensions than spectral space’s dimensions. It is more than half of a century that Principal Component Analysis PCA method has been applied to find the number of independent basis vectors of spectral dataset and representing spectral reflectance with lower di...

سادات حسنی, حدیثه, صمدزادگان, فرهاد,

Hyper spectral remote sensing imagery, due to its rich source of spectral information provides an efficient tool for ground classifications in complex geographical areas with similar classes. Referring to robustness of Support Vector Machines (SVMs) in high dimensional space, they are efficient tool for classification of hyper spectral imagery. However, there are two optimization issues which s...

Journal: :bulletin of the iranian mathematical society 2011
m. behboodi m. j. noori

$R$-module. In this paper, we explore more properties of $Max$-injective modules and we study some conditions under which the maximal spectrum of $M$ is a $Max$-spectral space for its Zariski topology.

Abstract: In this paper, we exhibit new conditions for the sum of two commuting AC-operators to be again an AC-operator. In particular, this is satisfied on Hilbert space when one of them is a scalar-type spectral operator.  

Journal: :international journal of nonlinear analysis and applications 0
shahnam javadi department of mathematics, faculty of mathematical sciences and computer, kharazmi university mostafa jani department of mathematics, faculty of mathematical sciences and computer, kharazmi university, tehran, iran esmail babolian department of mathematics, faculty of mathematical sciences and computer, kharazmi university, tehran, iran

in this paper, we develop a numerical resolution of the space-time fractional advection-dispersion equation. we utilize spectral-collocation method combining with a product integration technique in order to discretize the terms involving spatial fractional order derivatives that leads to a simple evaluation of the related terms. by using bernstein polynomial basis, the problem is transformed in...

2006
K. J. BROWN

In general, a symmetric operator does not have a unique spectral function. If T is a symmetric operator and F(t) is a spectral function for T, by the theory of Naimark (see Akhiezer and Glazman [1]) there exists a Hilbert space H of which H is a subspace and a self-adjoint operator T onif with resolution of the identity E(t) such that T + is an extension of T and F(t) = P£(<) where P is the pro...

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