نتایج جستجو برای: copure submodule

تعداد نتایج: 861  

Journal: :Electr. J. Comb. 2008
Daniel M. Kane Steven Sivek

Given a Young diagram λ and the set Hλ of partitions of {1, 2, . . . , |λ|} of shape λ, we analyze a particular S|λ|-module homomorphism QH λ → QHλ ′ to show that QHλ is a submodule of QHλ ′ whenever λ is a hook (n, 1, 1, . . . , 1) with m rows, n ≥ m, or any diagram with two rows.

Journal: :Electr. J. Comb. 2012
Peter Sin

Let k[V ] be the space of functions from a finite vector space into the algebraically closure of its field of scalars. This paper describes the lattice of subspaces of k[V ] which are invariant under the affine group AGL(V ). The description provides a simple method for finding the submodule generated by any set of functions given as polynomials in the standard coordinates.

2007
Bernd Ulrich Javid Validashti

Let R be a universally catenary locally equidimensional Noetherian ring. We give a multiplicity based criterion for an arbitrary finitely generated R-module to be integral over a submodule. Our proof is self-contained and implies the previously known numerical criteria for integral dependence of ideals and modules.

2016
R. A. Borzooei S. Saidi Goraghani Saidi Goraghani C. A. Meredith

In this paper, we investigate the ideal theory in BCK-algebras and we define the notions of primary and P -primary ideals. Then we show that in bounded implicative BCK-algebras, if an ideal has a primary decomposition, then it has a reduced primary decomposition. In the follow, we extend the above concepts to X-modules (Extended BCK-modules) and we introduce the notions of primary and P -primar...

Journal: :Fundamenta Mathematicae 2023

A set of polynomials is called a submodule $\mathbb C [x_1 ,\ldots , x_n ]$ if it translation invariant linear subspace ]$. We present description the submodules [x,y]$ in terms

Journal: :IEEE Transactions on Industrial Electronics 2019

Journal: :Transactions of the American Mathematical Society 1992

Journal: :Journal of Computational Physics 2023

While deep learning algorithms demonstrate a great potential in scientific computing, its application to multi-scale problems remains be big challenge. This is manifested by the “frequency principle” that neural networks tend learn low frequency components first. Novel architectures such as network (MscaleDNN) were proposed alleviate this problem some extent. In paper, we construct subspace dec...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید