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    “Learning in the Dark” Simulation to Teach about Accessibility

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    The purpose of this instructor-led lesson is to raise preservice teachers’ awareness of the significance of accessibility in PK-12 education. In the lesson, students develop empathy to understand the experiences of learners with vision-related disabilities through a simulation activity and competencies to achieve accessibility in their specific teaching contexts. Multimedia and open educational resources are utilized to introduce accessibility, inclusive education, Universal Design for Learning, assistive technology, and accessibility evaluation. Students participate in several learning activities, such as a collaborative document to identify effective technologies to address accessibility issues faced by learners with disabilities and an e-portfolio assessment to evaluate the accessibility of e-learning tools in PK-12 classrooms

    Centered PSD matrices with thin spectrum are M-matrices

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    We show that real, symmetric, centered (zero row sum) positive semidefinite matrices of order nn and rank n1n-1 with eigenvalue ratio λmax/λminn/(n2)\lambda_{\max}/\lambda_{\min}\leq n/(n-2) between the largest and smallest nonzero eigenvalue have nonpositive off-diagonal entries, and that this eigenvalue criterion is tight. The result is relevant in the context of matrix theory and inverse eigenvalue problems, and we discuss an application to Laplacian matrices

    Linear maps that preserve parts of the spectrum on pairs of similar matrices

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    In this paper, we characterize linear bijective maps φ\varphi on the space of all n×nn \times n matrices over an algebraically closed field F\mathbb{F} having the property that the spectrum of φ(A)\varphi (A) and φ(B)\varphi (B) have at least one common eigenvalue for each similar matrices AA and BB. Using this result, we characterize linear bijective maps having the property that the spectrum of φ(A)\varphi (A) and φ(B)\varphi (B) have common elements for each matrices AA and BB having the same spectrum. As a corollary, we also characterize linear bijective maps preserving the equality of the spectrum

    The matrix inverse Young inequality

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    An inverse Young inequality is established for positive definite matrices

    Eigenvalues for stochastic matrices with a prescribed stationary distribution

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    Given a vector 0<w \in \mathbb{R}^n whose entries sum to 11, the region σS(w)\sigma_\mathcal{S}(w) in the complex plane consisting of all eigenvalues of all stochastic matrices having ww^\top as a left Perron vector is considered. Some general observations about this region are made, it is proven that \bigcap_{w \in \mathbb{R}^n, w>0, w^\top \mathbf{1} =1} \sigma_\mathcal{S}(w) =[0,1], and a characterization is given of the vectors ww such that σS(w)\sigma_\mathcal{S}(w) contains an element λ1\lambda \ne 1 with λ=1.|\lambda|=1. The corresponding problem for reversible stochastic matrices with given left Perron vector is also considered, as is the corresponding region σR(w),\sigma_\mathcal{R}(w), which is a subset of [1,1].[-1,1]. Under a mild hypothesis on w,w, it is proven that the smallest element of σR(w)\sigma_\mathcal{R}(w) corresponds to a reversible stochastic matrix whose graph is a tree with a loop at one vertex. A general lower bound on the eigenvalues of reversible stochastic matrices with given left Perron vector is also given, as is a complete description of σR(w)\sigma_\mathcal{R}(w) when ww has two or three entries

    Expressions and characterizations for the Moore-Penrose inverse of operators and matrices

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    Under certain conditions, we prove that the Moore-Penrose inverse of a sum of operators is the sum of the Moore-Penrose inverses. From this, we derive expressions and characterizations for the Moore-Penrose inverse of an operator that are useful for its computation. We give formulations of them for finite matrices and study the Moore-Penrose inverse of circulant matrices and of distance matrices of certain graphs

    On the sum of the k largest absolute values of Laplacian eigenvalues of digraphs

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    Let L(G)L(G) be the Laplacian matrix of a digraph GG and Sk(G)S_k(G) be the sum of the kk largest absolute values of Laplacian eigenvalues of GG. Let Cn+C_n^+ be a digraph with n+1n+1 vertices obtained from the directed cycle CnC_n by attaching a pendant arc whose tail is on CnC_n. A digraph is Cn+\mathbb{C}_n^+-free if it contains no C+C_{\ell}^+ as a subdigraph for any 2n12\leq \ell \leq n-1. In this paper, we present lower bounds of Sn(G)S_n(G) of digraphs of order nn. We provide the exact values of Sk(G)S_k(G) of directed cycles and Cn+\mathbb{C}_n^+-free unicyclic digraphs. Moreover, we obtain upper bounds of Sk(G)S_k(G) of Cn+\mathbb{C}_n^+-free digraphs which have vertex-disjoint directed cycles

    Shell extremal eigenvalues of tridiagonal Toeplitz Matrices

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    The shell of a complex tridiagonal Toeplitz matrix is studied. Closed formulas for all quantities involved in its equation are presented. Necessary and sufficient conditions for a Toeplitz tridiagonal matrix to have shell extremal eigenvalues are given. Several, recently introduced, geometric quantities related to the shell are studied as measures of non-normality of these extremal eigenvalues of such matrices. These quantities are also proposed as measures of non-normality for the matrix itself

    Cowie, Jefferson (2022) Freedom’s Dominion: A Saga of White Resistance to Federal Power. Basic Books

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