Results 51 to 60 of about 43,621 (220)

Topological properties and matrix transformations of certain ordered generalized sequence spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1995
In this note, we carry out investigations related to the mixed impact of ordering and topological structure of a locally convex solid Riesz space (X,τ) and a scalar valued sequence space λ, on the vector valued sequence space λ(X) which is formed and ...
Manjul Gupta, Kalika Kaushal
doaj   +1 more source

A remark on generalized variational inequalities in locally convex topological vector spaces

open access: yesApplied Mathematics Letters, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarafdar, E., Yuan, X. Z.
openaire   +4 more sources

Arhangel'ski\u{\i} sheaf amalgamations in topological groups

open access: yes, 2016
We consider amalgamation properties of convergent sequences in topological groups and topological vector spaces. The main result of this paper is that, for arbitrary topological groups, Nyikos's property $\alpha_{1.5}$ is equivalent to Arhangel'ski\u{\i}'
Tsaban, Boaz, Zdomskyy, Lyubomyr
core   +1 more source

A novel construction approach for the pore structure model principally focuses on the controllable roundness of rock particles

open access: yesDeep Underground Science and Engineering, EarlyView.
Particle rounding effects comparison of different methods: (a), (b), and (c) are the rounding results using the B‐spline curve method with different R; (d), (e), and (f) are the results of vertex rounding substitution method with different rounding radii.
Jiabin Dong   +6 more
wiley   +1 more source

A formula to calculate the spectral radius of a compact linear operator

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1997
There is a formula (Gelfand's formula) to find the spectral radius of a linear operator defined on a Banach space. That formula does not apply even in normed spaces which are not complete.
Fernando Garibay Bonales   +1 more
doaj   +1 more source

The second cohomology of current algebras of general Lie algebras

open access: yes, 2008
Let $A$ be a unital commutative associative algebra over a field of characteristic zero, $\k$ be a Lie algebra, and $\z$ a vector space, considered as a trivial module of the Lie algebra $\g := A \otimes \k$.
Neeb, Karl-Hermann, Wagemann, Friedrich
core   +1 more source

Controllability on infinite-dimensional manifolds [PDF]

open access: yes, 2012
Following the unified approach of A. Kriegl and P.W. Michor (1997) for a treatment of global analysis on a class of locally convex spaces known as convenient, we give a generalization of Rashevsky-Chow's theorem for control systems in regular connected ...
A. Isidori   +61 more
core   +3 more sources

The Extremely Low Mechanical Force Generated by Nano‐Pulling Induces Global Changes in the Microtubule Network, Nuclear Morphology, and Chromatin Transcription in Neurons

open access: yesSmall, EarlyView.
Nano‐pulling induces stabilization, reorganization, and reorientation of the microtubule network. The nucleus of stretched cells experiences increased lateral tension, becomes more spherical, and develops surface grooves. At the level of gene expression regulation, changes in nuclear morphology induce global chromatin remodeling, leading to reduced ...
Alessandro Falconieri   +7 more
wiley   +1 more source

Variational inequality and complementarity problem in locally convex Hausdorff topological vector space [PDF]

open access: yes, 2005
The purpose of this paper is to study variational inequality and complementarity problem in a locally convex Hausdorff topological vector ...
S. Nanda
core  

Augury and Forerunner: Real‐Time Feedback Via Predictive Numerical Optimization and Input Prediction

open access: yesComputer Graphics Forum, EarlyView.
Transient information generated by solver steps can inform future objective function minimization. In Augury, we explore the impact of predictive numerical optimization by using solver history to predict future minimization solutions, reducing computational resources needed to arrive at convergent states for a broad class of gradient‐based optimization
J. Graus, Y. Gingold
wiley   +1 more source

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