Institute of Mathematics AS CR, v. v. i.
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    The covariety of perfect numerical semigroups with fixed Frobenius number

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    summary:Let SS be a numerical semigroup. We say that hN\Sh\in \mathbb {N} \backslash S is an isolated gap of SS if {h1,h+1}S.\{h-1,h+1\}\subseteq S. A numerical semigroup without isolated gaps is called a perfect numerical semigroup. Denote by m(S){\rm m} (S) the multiplicity of a numerical semigroup SS. A covariety is a nonempty family \scr {C} of numerical semigroups that fulfills the following conditions: there exists the minimum of \scr {C}, the intersection of two elements of \scr {C} is again an element of \scr {C}, and S\backslash \{{\rm m}(S)\}\in \scr {C} for all S\in \scr {C} such that S\neq \min (\scr {C}). We prove that the set \scr {P}(F)=\{S\colon S is a perfect numerical semigroup with Frobenius number F}F\} is a covariety. Also, we describe three algorithms which compute: the set \scr {P}(F), the maximal elements of \scr {P}(F), and the elements of \scr {P}(F) with a given genus. A Parf{\rm Parf}-semigroup (or Psat{\rm Psat}-semigroup) is a perfect numerical semigroup that in addition is an Arf numerical semigroup (or saturated numerical semigroup), respectively. We prove that the sets Parf(F)={S ⁣:S{\rm Parf}(F)=\{S\colon S is a Parf{\rm Parf}-numerical semigroup with Frobenius number F}F\} and Psat(F)={S ⁣:S{\rm Psat}(F)=\{S\colon S is a Psat{\rm Psat}-numerical semigroup with Frobenius number F}F\} are covarieties. As a consequence we present some algorithms to compute Parf(F){\rm Parf}(F) and ${\rm Psat}(F).

    Left EM rings

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    summary:Let R[x]R[x] be the polynomial ring over a ring RR with unity. A polynomial f(x)R[x]f(x)\in R[x] is referred to as a left annihilating content polynomial (left ACP) if there exist an element rRr \in R and a polynomial g(x)R[x]g(x) \in R[x] such that f(x)=rg(x)f(x)=rg(x) and g(x)g(x) is not a right zero-divisor polynomial in R[x]R[x]. A ring RR is referred to as left EM if each polynomial f(x)R[x]f(x) \in R[x] is a left ACP. We observe the structure of left EM rings with various properties, and study the relationships between the one-sided EM condition and other standard ring theoretic conditions. Moreover, several extensions of EM rings are investigated, including polynomial rings, matrix rings, and Ore localizations

    A note on the Π\Pi -property of some subgroups of finite groups

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    summary:Let HH be a subgroup of a finite group GG. We say that HH satisfies the Π\Pi -property in GG if for any chief factor L/KL / K of GG, G/K:NG/K(HK/KL/K) |G/K : N_{G/K}(HK/K\cap L/K )| is a π(HK/KL/K)\pi (HK/K\cap L/K)-number. We obtain some criteria for the pp-supersolubility or pp-nilpotency of a finite group and extend some known results by concerning some subgroups that satisfy the Π\Pi -property

    Zákon odrazu a přelévání vody mezi nádobami

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    Highly robust training of regularizedradial basis function networks

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    summary:Radial basis function (RBF) networks represent established tools for nonlinear regression modeling with numerous applications in various fields. Because their standard training is vulnerable with respect to the presence of outliers in the data, several robust methods for RBF network training have been proposed recently. This paper is interested in robust regularized RBF networks. A robust inter-quantile version of RBF networks based on trimmed least squares is proposed here. Then, a systematic comparison of robust regularized RBF networks follows, which is evaluated over a set of 405 networks trained using various combinations of robustness and regularization types. The experiments proceed with a particular focus on the effect of variable selection, which is performed by means of a backward procedure, on the optimal number of RBF units. The regularized inter-quantile RBF networks based on trimmed least squares turn out to outperform the competing approaches in the experiments if a highly robust prediction error measure is considered

    A dual-parameter double-step splitting iteration method for solving complex symmetric linear equations

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    summary:We multiply both sides of the complex symmetric linear system Ax=bAx=b by 1iω1-{\rm i}\omega to obtain a new equivalent linear system, then a dual-parameter double-step splitting (DDSS) method is established for solving the new linear system. In addition, we present an upper bound for the spectral radius of iteration matrix of the DDSS method and obtain its quasi-optimal parameter. Theoretical analyses demonstrate that the new method is convergent when some conditions are satisfied. Some tested examples are given to illustrate the effectiveness of the proposed method

    On the least almost-prime in arithmetic progressions

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    summary:Let P2\mathcal P_{2} denote a positive integer with at most 22 prime factors, counted according to multiplicity. For integers aa, qq such that (a,q)=1(a,q)=1, let P2(q,a)\mathcal P_{2}(q,a) denote the least P2\mathcal P_{2} in the arithmetic progression {nq+a}n=1\{nq+a\}_{n=1}^{\infty }. It is proved that for sufficiently large qq, we have P2(q,a)q1.825. \mathcal P_{2}(q,a)\ll q^{1.825}. This result constitutes an improvement upon that of J. Li, M. Zhang and Y. Cai (2023), who obtained $\mathcal P_{2}(q,a)\ll q^{1.8345}.

    Perturbations of real parts of eigenvalues of bounded linear operators in a Hilbert space

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    summary:Let AA be a bounded linear operator in a complex separable Hilbert space H\mathcal {H}, and SS be a selfadjoint operator in H\mathcal {H}. Assuming that ASA-S belongs to the Schatten-von Neumann ideal Sp\mathcal {S}_p (p>1),(p> 1), we derive a bound for kRλk(A)λk(S)p\sum _{k}| {\rm R} \lambda _k(A)-\lambda _k(S)|^p, where λk(A)\lambda _k(A) (k=1,2,)(k=1, 2, \dots ) are the eigenvalues of AA. Our results are formulated in terms of the ``extended'' eigenvalue sets in the sense introduced by T. Kato. In addition, in the case p=2p=2 we refine the Weyl inequality between the real parts of the eigenvalues of AA and the eigenvalues of its Hermitian component

    A note on average behaviour of the Fourier coefficients of jj\lowercase {th} symmetric power LL-function over certain sparse sequence of positive integers

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    summary:Let j2j\geq 2 be a given integer. Let HkH_{k}^{*} be the set of all normalized primitive holomorphic cusp forms of even integral weight k2k\geq 2 for the full modulo group SL(2,Z){\rm SL}(2,\mathbb {Z}). For fHkf\in H_{k}^{*}, denote by λsymjf(n)\lambda _{{\rm sym}^{j}f}(n) the nnth normalized Fourier coefficient of jjth symmetric power LL-function (L(s,symjf)L(s, {\rm sym}^{j}f)) attached to ff. We are interested in the average behaviour of the sum n=a12+a22+a32+a42+a52+a62x(a1,a2,a3,a4,a5,a6)Z6λsymjf2(n), \sum _{n=a_{1}^{2}+a_{2}^{2}+a_{3}^{2}+a_{4}^{2}+a_{5}^{2}+a_{6}^{2}\leq x \atop (a_{1},a_{2},a_{3},a_{4},a_{5},a_{6})\in \mathbb {Z}^{ 6}} \lambda _{{\rm sym}^{j}f}^{2}(n), where xx is sufficiently large, which improves the recent work of A. Sharma and A. Sankaranarayanan (2023)

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