Matrix inequalities form a cornerstone of modern linear algebra, providing a versatile framework for comparing matrices through the lens of positivity, spectral bounds and norm estimates. Central to ...

Matrix means constitute an essential toolkit in modern linear algebra and functional analysis, offering a rigorous way to interpolate and combine positive definite matrices. Rooted in the foundational ...

In quantum physics, scrambling is the dispersal of quantum information across a complex quantum system, such as chaotic quantum many-body systems. This process can make quantum information difficult ...

If the matrix is symmetric, it is preferable to power its eigenvalues rather than using the matrix power operator directly on the matrix (see the description of the EIGEN call). Note that the ...