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The minimum exponential atom-bond connectivity energy of trees 树的最小指数原子键连接能
IF 0.5 Q2 MATHEMATICS Pub Date : 2024-01-01 DOI: 10.1515/spma-2023-0108
Wei Gao
Abstract Let G = ( V ( G ) , E ( G ) ) G=left(Vleft(G),Eleft(G)) be a graph of order n n . The exponential atom-bond connectivity matrix A e ABC ( G ) {A}_{{e}^{{rm{ABC}}}}left(G) of G G is an n × n ntimes n matrix whose ( i , j ) left(i,j) -entry is equal to e d ( v i ) + d ( v j ) − 2 d ( v i ) d ( v j ) {e}^{sqrt{tfrac{dleft({v}_{i})+dleft({v}_{j})-2}{dleft({v}_{i})dleft({v}_{j})}}} if v i v j ∈ E ( G ) {v}_{i}{v}_{j}in Eleft(G) , and 0 otherwise. The exponential atom-bond connectivity energy of G G is the sum of the absolute values of all eigenvalues of the matrix A e ABC ( G ) {A}_{{e}^{{rm{ABC}}}}left(G) . It is proved that among all trees of order n n , the star S n {S}_{n} is the unique tree with the minimum exponential atom-bond connectivity energy.
摘要 让 G = ( V ( G ) , E ( G ) )G=left(Vleft(G),Eleft(G)) 是一个阶数为 n n 的图。G G 的指数原子键连通性矩阵 A e ABC ( G ) {A}_{{e}^{{rm{ABC}}}}left(G) 是一个 n × n 次 n 矩阵,其 ( i , j ) left(i. i. j) - 条目等于 n × n 次 n 矩阵、j) -项等于 e d ( v i ) + d ( v j ) - 2 d ( v i ) d ( v j ) {e}^{sqrt{tfrac{dleft({v}_{i})+dleft({v}_{j})-2}{dleft({v}_{i})dleft({v}_{j})}}} 如果 v i v j ∈ E ( G ) {v}_{i}{v}_{j}in Eleft(G) 、否则为 0。G G 的指数原子键连通能是矩阵 A e ABC ( G ) {A}_{{e}^{rm{ABC}}}}left(G) 的所有特征值的绝对值之和。实验证明,在所有阶数为 n n 的树中,星 S n {S}_{n} 是唯一具有最小指数原子键连接能的树。
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引用次数: 0
Refined inertias of positive and hollow positive patterns 积极和空洞积极模式的精炼惰性
IF 0.5 Q2 MATHEMATICS Pub Date : 2024-01-01 DOI: 10.1515/spma-2023-0107
Adam H. Berliner, M. Catral, D. Olesky, P. van den Driessche
Abstract We investigate refined inertias of positive patterns and patterns that have each off-diagonal entry positive and each diagonal entry zero, i.e., hollow positive patterns. For positive patterns, we prove that every refined inertia ( n + , n − , n z , 2 n p ) left({n}_{+},{n}_{-},{n}_{z},2{n}_{p}) with n + ≥ 1 {n}_{+}ge 1 can be realized. For hollow positive patterns, we prove that every refined inertia with n + ≥ 1 {n}_{+}ge 1 and n − ≥ 2 {n}_{-}ge 2 can be realized. To illustrate these results, we construct matrix realizations using circulant matrices and bordered circulants. For both patterns of order n n , we show that as n → ∞ nto infty , the fraction of possible refined inertias realized by circulants approaches 1/4 for n n odd and 3/4 for n n even.
摘要 我们研究正图案和对角线外各条目为正、对角线内各条目为零的图案(即空心正图案)的精炼惯性。对于正图案,我们证明了每一个 n + ≥ 1 {n}_{+}ge 1 的精炼惯性 ( n + , n - , n z , 2 n p ) left({n}_{+},{n}_{-},{n}_{z},2{n}_{p})都可以实现。对于空心正向模式,我们证明可以实现 n + ≥ 1 {n}_{+}ge 1 和 n - ≥ 2 {n}_{-}ge 2 的每一个细化惯性。为了说明这些结果,我们使用圆周矩阵和有边圆周矩阵构建矩阵实现。对于这两种阶数为 n n 的模式,我们证明当 n → ∞ nto infty 时,对于 n n 奇数,圆周率实现的可能精炼惯性的分数接近 1/4,而对于 n n 偶数,则接近 3/4。
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引用次数: 0
The perturbation of Drazin inverse and dual Drazin inverse Drazin 逆和双重 Drazin 逆的扰动
IF 0.5 Q2 MATHEMATICS Pub Date : 2024-01-01 DOI: 10.1515/spma-2023-0110
Hongxing Wang, Chong Cui, Yimin Wei
Abstract In this study, we derive the Drazin inverse ( A + ε B ) D {left(A+varepsilon B)}^{D} of the complex matrix A + ε B A+varepsilon B with Ind ( A + ε B ) > 1 {rm{Ind}}left(A+varepsilon B)gt 1 and Ind ( A ) = k {rm{Ind}}left(A)=k and the group inverse ( A + ε B ) # {left(A+varepsilon B)}^{#} of the complex matrix A + ε B A+varepsilon B with Ind ( A + ε B ) = 1 {rm{Ind}}left(A+varepsilon B)=1 and Ind ( A ) = k {rm{Ind}}left(A)=k when ε B varepsilon B is viewed as the perturbation of A A . If the dual Drazin inverse (DDGI) A ^ DDGI {widehat{A}}^{{rm{DDGI}}} of A ^ widehat{A} is considered as a notation. We calculate ( A + ε B ) D − A ^ DDGI {left(A+varepsilon B)}^{D}-{widehat{A}}^{{rm{DDGI}}} and ( A + ε B ) # − A ^ DDGI {left(A+varepsilon B)}^{#}-{widehat{A}}^{{rm{DDGI}}} and obtain ‖ ( A + ε B ) D − A ^ DDGI ‖ P ∈ O ( ε 2 ) Vert {left(A+varepsilon B)}^{D}-{widehat{A}}^{{rm{DDGI}}}{Vert }_{P}in {mathcal{O}}left({varepsilon }^{2}) and ‖ ( A + ε B ) # − A ^ DDGI ‖ P ∈ O ( ε 2 ) Vert {left(A+varepsilon B)}^{#}-{widehat{A}}^{{rm{DDGI}}}{Vert }_{P}in {mathcal{O}}left({varepsilon }^{2}) . Meanwhile, we give some examples to verify these conclusions.
Abstract In this study、我们推导了复矩阵 A + ε B A+varepsilon B 的 Drazin 逆 ( A + ε B ) D {left(A+varepsilon B)}^{D} with Ind ( A + ε B ) > 1 {rm{Ind}}left(A+varepsilon B)gt 1 and Ind ( A ) = k {rm{Ind}}left(A)=k 以及群逆 ( A + ε B ) # {left(A+varepsilon B)}^{D}.+ ε B ) # {left(A+varepsilon B)}^{#} of the complex matrix A + ε B A+varepsilon B with Ind ( A + ε B ) = 1 {rm{Ind}}left(A+varepsilon B)=1 and Ind ( A ) = k {rm{Ind}}left(A)=k when ε B varepsilon B is viewed as the perturbation of A A .如果把 A ^ widehat{A}的对偶 Drazin 逆(DDGI)A ^ DDGI {widehat{A}}^{{rm{DDGI}} 视为一种符号。我们计算 ( A + ε B ) D - A ^ DDGI {left(A+varepsilon B)}^{D}-{widehat{A}}^{{rm{DDGI}}} 和 ( A + ε B ) # - A ^ DDGI {left(A+varepsilon B)}^{#}-{widehat{A}}^{rm{DDGI}}.{得到‖ ( A + ε B ) D - A ^ DDGI ‖ P∈ O ( ε 2 ) Vert {left(A+varepsilon B)}^{D}-{widehat{A}}^{rm{DDGI}}}{Vert }_{P}}in {mathcal{O}}}left({varepsilon }^{2}) and ‖ ( A + ε B ) # - A ^ DDGI ‖ P ∈ O ( ε 2 ) Vert {left(A+varepsilon B)}^{#}-{in {mathcal{O}}left({varepsilon }^{2}) .同时,我们举一些例子来验证这些结论。
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引用次数: 0
On inverse sum indeg energy of graphs 图的逆和指数能
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2022-0175
Fareeha Jamal, Muhammad Imran, B. Rather
Abstract For a simple graph with vertex set { v 1 , v 2 , … , v n } left{{v}_{1},{v}_{2},ldots ,{v}_{n}right} and degree sequence d v i i = 1 , 2 , … , n {d}_{{v}_{i}}hspace{0.33em}i=1,2,ldots ,n , the inverse sum indeg matrix (ISI matrix) A ISI ( G ) = ( a i j ) {A}_{{rm{ISI}}}left(G)=left({a}_{ij}) of G G is a square matrix of order n , n, where a i j = d v i d v j d v i + d v j , {a}_{ij}=frac{{d}_{{v}_{i}}{d}_{{v}_{j}}}{{d}_{{v}_{i}}+{d}_{{v}_{j}}}, if v i {v}_{i} is adjacent to v j {v}_{j} and 0, otherwise. The multiset of eigenvalues τ 1 ≥ τ 2 ≥ ⋯ ≥ τ n {tau }_{1}ge {tau }_{2}hspace{0.33em}ge cdots ge {tau }_{n} of A ISI ( G ) {A}_{{rm{ISI}}}left(G) is known as the ISI spectrum of G G . The ISI energy of G G is the sum ∑ i = 1 n ∣ τ i ∣ mathop{sum }limits_{i=1}^{n}| {tau }_{i}| of the absolute ISI eigenvalues of G . G. In this article, we give some properties of the ISI eigenvalues of graphs. Also, we obtain the bounds of the ISI eigenvalues and characterize the extremal graphs. Furthermore, we construct pairs of ISI equienergetic graphs for each n ≥ 9 nge 9 .
摘要对于顶点集为{V1,V2,…,Vn}的简单图{{v}_{1} ,{v}_{2} ,ldots,{v}_{n} right }和度序列d v i i=1,2,…,n{d}_{{v}_{i} } hspace{0.33em}i=1,2,ldots,n,逆和indeg矩阵(ISI矩阵)A ISI(G)=(A i j){A}_{rm{ISI}}left(G)=left({a}_{ij})是n阶的方阵,其中a i j=d v i d v j d v i+d v j,{a}_{ij}=frac{{d}_{{v}_{i} }{d}_{{v}_{j} }}{{d}_{{v}_{i} }+{d}_{{v}_{j} },如果v i{v}_{i} 与vj相邻{v}_{j} 否则为0。ISI(G)的特征值τ1≥τ2≥…≥τn{A}_{rm{ISI}}}left(G)被称为G的ISI谱。G G的ISI能量是G的绝对ISI本征值的总和∑i=1nÜτiÜmathop{sum}limits_{i=1}^{n}|{tau}_{i}|。G.本文给出了图的ISI特征值的一些性质。此外,我们还得到了ISI特征值的界,并刻画了极值图。此外,我们为每个n≥9nge9构造了一对ISI等能图。
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引用次数: 0
On the distance energy of k-uniform hypergraphs 关于k-均匀超图的距离能
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2023-0188
Kshitij Sharma, S. Panda
Abstract In this article, we extend the concept of distance energy for hypergraphs. We first establish a relation between the distance energy and the distance spectral radius. Then, we obtain some bounds for the distance energy in terms of some invariant of hypergraphs such as the determinant of the distance matrix, number of vertices, and Wiener index along with the distance energy of join of k k -uniform hypergraphs. Furthermore, it is shown that the determinant of the distance matrix of k k -uniform hyperstar on n n vertices is ( − 1 ) n − 1 ( n − 1 ) k n − k k − 1 {left(-1)}^{n-1}left(n-1){k}^{tfrac{n-k}{k-1}} . Later, the distance spectrum of k k -uniform hyperstar is obtained, which gives the explicit distance energy of k k -uniform hyperstar.
摘要在本文中,我们推广了超图的距离能量的概念。我们首先建立了距离能量和距离谱半径之间的关系。然后,我们根据超图的一些不变量,如距离矩阵的行列式、顶点数、Wiener指数,以及k-一致超图的连接距离能量,得到了距离能量的一些界。此外,还证明了k k-一致超星在n n个顶点上的距离矩阵的行列式是(−1)n−1(n−1)k n−k k−1{left(-1)}^{n-1}lift(n-1){k}^}tfrac{n-k}{k-1}}}。随后,得到了k-均匀超星的距离谱,给出了k-一致超星的显式距离能量。
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引用次数: 0
Corrigendum to “Spectra universally realizable by doubly stochastic matrices” “双随机矩阵普遍可实现的谱”的勘误
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2022-0179
M. Collao, Mario Salas, R. Soto
Abstract We correct an error in the statement and the proof of Theorem 2.1 and Corollary 2.1 in our previous study [Spec. Matrices 6 (2018), 301–309], Section 2: On nonnegative matrices similar to positive matrices.
摘要我们纠正了先前研究[Spec.Matrix 6(2018),301–309]第2节:关于类似于正矩阵的非负矩阵中定理2.1和推论2.1的陈述和证明中的一个错误。
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引用次数: 0
On 3-by-3 row stochastic matrices 在3 × 3行随机矩阵上
Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2023-0103
Nhi Pham, Ilya M. Spitkovsky
Abstract The known constructive tests for the shapes of the numerical ranges in the 3-by-3 case are further specified when the matrices in question are row stochastic. Auxiliary results on the unitary (ir)reducibility of such matrices are also obtained.
摘要当矩阵是行随机时,进一步给出了3 × 3情况下数值范围形状的已知构造性检验。还得到了这类矩阵的幺正可约性的辅助结果。
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引用次数: 0
Class of finite-dimensional matrices with diagonals that majorize their spectrum 一类有限维矩阵,其对角线使其谱最大化
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2022-0185
Jeffrey Uhlmann
Abstract We define a special class of finite-dimensional matrices for which the diagonal majorizes the spectrum. This is the first class of matrices known to have this property, although the reverse majorization (i.e., the spectrum majorizing the diagonal) was previously known to hold for unitarily diagonalizable (i.e., normal) matrices. Currently, these are the only known matrix classes that structurally provide a majorization relationship between their spectrum and diagonal.
摘要我们定义了一类特殊的有限维矩阵,其对角线最大谱。这是已知的第一类具有这种性质的矩阵,尽管反向多数化(即,谱多数化对角线)先前已知适用于可单对角化(即正规)矩阵。目前,这些是唯一已知的矩阵类,它们在结构上提供了它们的谱和对角线之间的多数化关系。
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引用次数: 0
Idempotent operator and its applications in Schur complements on Hilbert C*-module Hilbert C*模上的Schur补上的幂等算子及其应用
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2022-0187
M. M. Karizaki, Z. N. Moghani
Abstract The present study proves that T T is an idempotent operator if and only if R ( I − T ∗ ) ⊕ R ( T ) = X {mathcal{ {mathcal R} }}left(I-{T}^{ast })oplus {mathcal{ {mathcal R} }}left(T)={mathcal{X}} and ( T ∗ T ) † = ( T † ) 2 T {left({T}^{ast }T)}^{dagger }={left({T}^{dagger })}^{2}T . Based on the equivalent conditions of an idempotent operator and related results, it is possible to obtain an explicit formula for the Moore-Penrose inverse of 2-by-2 block idempotent operator matrix. For the 2-by-2 block operator matrix, Schur complements and generalized Schur complement are well known and studied. The range inclusions of operators and idempotency of operators are used to obtain new conditions under which we can compute the Moore-Penrose inverse of Schur complements and generalized Schur complements of operators.
摘要本研究证明了T T是一个幂等算子当且仅当R(I−T*)ŞR(T^{2}T。基于幂等算子的等价条件和相关结果,可以得到2乘2块幂等算子矩阵的Moore-Penrose逆的一个显式。对于2乘2的块算子矩阵,Schur补和广义Schur补是众所周知的,并进行了研究。利用算子的范围包含和算子的幂等性,得到了计算Schur补的Moore-Penrose逆和算子的广义Schur补集的新条件。
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引用次数: 0
Diagonal dominance and invertibility of matrices 矩阵的对角优势与可逆性
IF 0.5 Q2 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.1515/spma-2022-0181
C. Johnson, C. Marijuán, M. Pisonero
Abstract A weakly diagonally dominant matrix may or may not be invertible. We characterize, in terms of combinatorial structure and sign pattern when such a matrix is invertible, which is the common case. Examples are given.
弱对角占优矩阵可能可逆,也可能不可逆。当矩阵可逆时,我们用组合结构和符号模式来描述它,这是常见的情况。给出了实例。
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引用次数: 1
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Special Matrices
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