فهرست مطالب

مجله موجکها و جبر خطی
سال هشتم شماره 1 (Spring and Summer 2021)

  • تاریخ انتشار: 1401/01/10
  • تعداد عناوین: 7
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  • Hoger Ghahramani *, Kamal Fallahi, Wania Khodakarami Pages 1-6

    A Banach algebra A is said to be zero Lie product determined Banach algebra if for every continuous bilinear functional φ : A × A → C the following holds: if φ(a, b) = 0 whenever ab = ba, then there exists some τ ∈ A∗ such that φ(a, b) = τ(ab − ba) for all a, b ∈ A. We show that any finite nest algebra over a complex Hilbert space is a zero Lie product determined Banach algebra.

    Keywords: Zero Lie product determined Banach algebra, nest algebra, weakly amenable Banach algebra
  • N.S. Seyedi, M. Mortazavizadeh, R. A. Kamyabi Gol * Pages 7-16

    Let X be a measure space and let E be a measurable subset of X with finite positive measure. In this paper, we investigate frame and Riesz basis properties of a family of functions multiplied by another measurable function in L 2 (E). Also, we study the equivalent conditions for a system of translates to be a Bessel family in L 2 (G) and to be a frame for PE (the space of the band limited functions). Finally, we study the properties of frames of translates that preserved by convolution.

    Keywords: locally compact abelian group, frame by multiplication, irregular frame of translates
  • Shiva Mohtashami, Abbas Salemi, Mohammad Soleymani * Pages 17-26

    In this paper, we consider the class of 4-convex functions and we obtain some inequalities related to 4-convex functions. Moreover, for k ≤ n, we present a majorization ≺k on Rn and we give some equivalent conditions for ≺4 on R4.

    Keywords: Majorization, 4-convex function, inequalities, divided difference
  • H. Baharlooei, M. Chaichi Raghimi *, A. Bayati Eshkaftaki Pages 27-36

    Chi-Kwang Li, Bit-Shun Tam and Nam-Kiu Tsing have obtained necessary and sufficient condition for a linear operator on linear space of generalized doubly stochastic matrices to be strong preserver of doubly stochastic matrices and permutation matrices. We show if a linear operator T : Mm → Mn is a (strong) preserver of doubly stochastic matrices, then T is a (strong) preserver of the linear manifold of r-generalized doubly stochastic matrices and the linear space of generalized doubly stochastic matrices. Also we give necessary and sufficient condition for a linear operator T : Mm → Mn to be (strong) preserver of doubly stochastic matrices and permutation matrices.

    Keywords: Doubly stochastic matrix, Linear manifold, Generalized doubly stochastic matrices, (Strong) Preserver
  • Sedigheh Barootkoob * Pages 37-47

    In this paper, the notion of n-weak biamenability of Banach algebras is introduced and for every n ≥ 3, it is shown that nweak biamenability of the second dual A ∗∗ of a Banach algebra A implies n-weak biamenability of A and this is true for n = 1, 2 under some mild conditions. As a concrete example, it is shown that for every abelian locally compact group G, L 1 (G) is 1-weakly biamenable and ` 1 (G) is n-weakly biamenable for every odd integer n.

    Keywords: biderivation, inner biderivation, $n$-weak biamenability
  • Amir Sahami *, Mehdi Rostami, Shahab Kalantari Pages 49-59

    In this paper, we introduce new notions of I-biflatness and Ibiprojectivity, for a Banach algebra A, where I is a closed ideal of A. We show that M(G) is L 1 (G)-biprojective (I-biflat) if and only if G is a compact group (an amenable group), respectively. Also we show that, for a non-zero ideal I, if the Fourier algebra A(G) is I-biprojective, then G is a discrete group. Some examples are given to show the differences between these new notions and the classical ones.

    Keywords: $I$-biflatness, $I$-biprojectivity, Banach algebra
  • Nasibeh Emami * Pages 61-72

    DNA microarray datasets suffer scaling and uncertainty problems. This paper develops a model that manages DNA microarray datasets challenges more precisely by using the advantages of Wavelet decomposition and fuzzy numbers. For this aim, the proposed method is utilized to classify linguistic DNA microarray datasets set, where datasets can be given as linguistic genes. Linguistic genes are represented by using triangular fuzzy numbers provided as LR (left-right) fuzzy numbers. Then the WABL method is applied as the defuzzification method. Also, a set of orthogonal wavelet detail coefficients based on wavelet decomposition at different levels is extracted to specify the localized genes of DNA microarray datasets. Three DNA microarray datasets are used to evaluate this method. The experiments are shown that the proposed model has better diagnostic accuracy than other methods.

    Keywords: fuzzy numbers, linguistic data, diagnosis cancer, Wavelet decomposition, high dimensional data