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    Differential Opportunity for Men from Low-Income Backgrounds across Pennsylvania

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    This study examines the place-based differences in opportunity experienced by men from lowincome backgrounds across U.S. and Pennsylvania counties. Our quantitative findings suggest that U.S. and Pennsylvania counties are very unequal in terms of how men raised in low-income families fare in adulthood on measures of upward mobility, household income, college graduation, incarceration, and marriage. A variety of county-level measures of concentrated disadvantage were associated with these outcomes, including county household income, poverty rate, degree of racial segregation, college graduation rate, single parenthood rate, social capital rate, and job growth rate. Additionally, anonymous qualitative data from phone interviews with county commissioners from some of the Pennsylvania counties that struggled the most in our analysis helped to confirm our findings with valuable on-the-ground perspectives. We discuss these findings and their implications for equality of opportunity in the U.S. and the state of Pennsylvania

    Not Just ‘Rosie the Riveter’:Feature Films and Productive Industrial Work

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    A note on majorization properties of the Lieb function

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    In this note, the Lieb function (A,B) \to \Phi (A,B) = \tr \exp ( A + \log B ) for an Hermitian matrix AA and a positive definite matrix BB is studied. It is shown that Φ\Phi satisfies a majorization property of Sherman type induced by a doubly stochastic operator. The variant for commuting matrices is also considered. An interpretation is given for the case of the orthoprojection operator onto the space of block diagonal matrices

    The maximal \alpha-index of trees with k pendent vertices and its computation

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    Let GG be a graph with adjacency matrix A(G)A(G) and let D(G)D(G) be the diagonal matrix of the degrees of GG. The α\alpha- index of GG is the spectral radius ρα(G)\rho_{\alpha}\left( G\right) of the matrix Aα(G)=αD(G)+(1α)A(G)A_{\alpha}\left( G\right)=\alpha D\left( G\right) +(1-\alpha)A\left( G\right) where α[0,1]\alpha \in [0,1]. Let Tn,kT_{n,k} be the tree of order nn and kk pendent vertices obtained from a star K1,kK_{1,k} and kk pendent paths of almost equal lengths attached to different pendent vertices of K1,kK_{1,k}. It is shown that if α[0,1)\alpha\in\left[ 0,1\right) and TT is a tree of order nn with kk pendent vertices then% ρα(T)ρα(Tn,k), \rho_{\alpha}(T)\leq\rho_{\alpha}(T_{n,k}), with equality holding if and only if T=Tn,kT=T_{n,k}. This result generalizes a theorem of Wu, Xiao and Hong \cite{WXH05} in which the result is proved for the adjacency matrix (α=0\alpha=0). Let q=[n1k]q=[\frac{n-1}{k}] and n1=kq+rn-1=kq+r, 0rk10 \leq r \leq k-1. It is also obtained that the spectrum of Aα(Tn,k)A_{\alpha}(T_{n,k}) is the union of the spectra of two special symmetric tridiagonal matrices of order qq and q+1q+1 when r=0r=0 or the union of the spectra of three special symmetric tridiagonal matrices of order qq, q+1q+1 and 2q+22q+2 when r0r \neq 0. Thus the α\alpha- index of Tn,kT_{n,k} can be computed as the largest eigenvalue of the special symmetric tridiagonal matrix of order q+1q+1 if r=0r=0 or order 2q+22q+2 if r0r\neq 0

    Extremal properties of the distance spectral radius of hypergraphs

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    The distance spectral radius of a connected hypergraph is the largest eigenvalue of its distance matrix. The unique hypertrees with minimum distance spectral radii are determined in the class of hypertrees of given diameter, in the class of hypertrees of given matching number, and in the class of non-hyperstar-like hypertrees, respectively. The unique hypergraphs with minimum and second minimum distance spectral radii are determined in the class of unicylic hypergraphs. The unique hypertree with maximum distance spectral radius is determined in the class of kk-th power hypertrees of given matching number

    GMPCP for one row and one column completion

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    In this paper, the possible Kronecker invariants of a matrix pencil obtained by simultaneous one row and one column completion of a given matrix pencil are characterized. This presents a new approach to the General Matrix Pencil Completion Problem (GMPCP), where simultaneous row and column completion is considered

    Some Graphs Determined by their Signless Laplacian (Distance) Spectra

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    In literature, there are some results known about spectral determination of graphs with many edges. In [M.~C\'{a}mara and W.H.~Haemers. Spectral characterizations of almost complete graphs. {\em Discrete Appl. Math.}, 176:19--23, 2014.], C\'amara and Haemers studied complete graph with some edges deleted for spectral determination. In fact, they found that if the deleted edges form a matching, a complete graph KmK_m provided mn2m \le n-2, or a complete bipartite graph, then it is determined by its adjacency spectrum. In this paper, the graph Kn\Kl,mK_{n}\backslash K_{l,m} (n>l+m) which is obtained from the complete graph KnK_{n} by removing all the edges of a complete bipartite subgraph Kl,mK_{l,m} is studied. It is shown that the graph Kn\K1,mK_{n}\backslash K_{1,m} with m4m\ge4 is determined by its signless Laplacian spectrum, and it is proved that the graph Kn\Kl,mK_{n}\backslash K_{l,m} is determined by its distance spectrum. The signless Laplacian spectral determination of the multicone graph Kn2ααK2K_{n-2\alpha}\vee \alpha K_{2} was studied by Bu and Zhou in [C.~Bu and J.~Zhou. Signless Laplacian spectral characterization of the cones over some regular graphs. {\em Linear Algebra Appl.}, 436:3634--3641, 2012.] and Xu and He in [L. Xu and C. He. On the signless Laplacian spectral determination of the join of regular graphs. {\em Discrete Math. Algorithm. Appl.}, 6:1450050, 2014.] only for n2α=1 or 2n-2\alpha=1 ~\text{or}~ 2. Here, this problem is completely solved for all positive integer n2αn-2\alpha. The proposed approach is entirely different from those given by Bu and Zhou, and Xu and He

    Strongly self-inverse weighted graphs

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    Let G be a connected, bipartite graph. Let Gw denote the weighted graph obtained from G by assigning weights to its edges using the positive weight function w : E(G) ! (0;1). In this article we consider a class Hnmc of bipartite graphswith unique perfect matchings and the family WG of weight functions with weight 1 on the matching edges, and characterize all pairs G in Hnmc and w in WG such that Gw is strongly self-inverse

    Parameterized Structure-Preserving Transformations of Matrix Polynomials

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    This paper examines the relationship between the companion forms of regular matrix polynomials with singular leading coefficients. When two such polynomials have the same underlying finite and infinite Jordan structures, it is shown that their companion forms are connected by a strict equivalence transformation that can be parameterized using the commutant of the companion forms' common Weierstrass canonical form. The process developed herein for generating such parameterized transformations is applied to the useful class of diagonalizable quadratic polynomials

    Solving an Open Problem About the G-Drazin Partial Order

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    G-Drazin inverses and the G-Drazin partial order for square matrices have been both recently introduced by Wang and Liu. They proved the following implication: If A is below B under the G-Drazin partial order then any G-Drazin inverse of B is also a G-Drazin inverse of A. However, this necessary condition could not be stated as a characterization and the validity (or not) of the converse implication was posed as an open problem. In this paper, we solve completely this problem. We show that the converse, in general, is false and we provide a form to construct counterexamples. We also prove that the converse holds under an additional condition (which is also necessary) as well as for some special cases of matrices

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