نتایج جستجو برای: strong endomorphism kernel property

تعداد نتایج: 569927  

Journal: :Topology and its Applications 2017

Journal: :Mediterranean Journal of Mathematics 2021

Abstract Given a purely non-atomic, finite measure space $$(\Omega ,\Sigma ,\nu )$$ ( Ω , Σ ν ) , it is proved that for every closed, infinite-dimensional subspace V of $$L_p(\nu L</m...

2003
T. O. BANAKH V. I. BOGACHEV A. V. KOLESNIKOV

We study topological spaces with the strong Skorokhod property, i.e., spaces on which all Radon probability measures can be simultaneously represented as images of Lebesgue measure on the unit interval under certain Borel mappings so that weakly convergent sequences of measures correspond to almost everywhere convergent sequences of mappings. We construct nonmetrizable spaces with such a proper...

Journal: :Math. Log. Q. 2017
Yair Hayut Spencer Unger

We show that it is consistent, relative to ω many supercompact cardinals, that the super tree property holds at אn for all 2 ≤ n < ω but there are weak square and a very good scale at אω .

Journal: :Discrete Applied Mathematics 2008
Mitre Costa Dourado Fábio Protti Jayme Luiz Szwarcfiter

The notion of strong p-Helly hypergraphs was introduced by Golumbic and Jamison in 1985 [M.C. Golumbic, R.E. Jamison, The edge intersection graphs of paths in a tree, J. Combin. Theory Ser. B 38 (1985) 8–22]. Independently, other authors [A. Bretto, S. Ubéda, J. Žerovnik, A polynomial algorithm for the strong Helly property. Inform. Process. Lett. 81 (2002) 55–57, E. Prisner, Hereditary clique-...

2017
Subhroshekhar Ghosh Thomas M. Liggett Robin Pemantle

Let (X1, . . . , Xd) be a random nonnegative integer vector. Many conditions are known to imply a central limit theorem for a sequence of such random vectors, for example, independence and convergence of the normalized covariances, or various combinatorial conditions allowing the application of Stein’s method, couplings, etc. Here, we prove a central limit theorem directly from hypotheses on th...

Journal: :European Journal of Combinatorics 1994

Journal: :Topology and its Applications 2007

Journal: :Journal of bioinformatics and computational biology 2010
J B Brown Takashi Urata Takeyuki Tamura Midori A Arai Takeo Kawabata Tatsuya Akutsu

High accuracy is paramount when predicting biochemical characteristics using Quantitative Structural-Property Relationships (QSPRs). Although existing graph-theoretic kernel methods combined with machine learning techniques are efficient for QSPR model construction, they cannot distinguish topologically identical chiral compounds which often exhibit different biological characteristics. In this...

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