matrix theory


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matrix theory

[′mā·triks ‚thē·ə·rē]
(mathematics)
The algebraic study of matrices and their use in evaluating linear processes.
References in periodicals archive ?
Classical matrix theory sometimes fails to solve the problems involving uncertainties.
Aubrun and Szarek write for quantum information researchers who want to learn asymptotic geometric analysis or to apply its tools; for mathematicians interested in learning quantum information theory or at least the part of it that is relevant to functional analysis, convex geometry, random matrix theory, and related areas; and for beginning researchers in either field.
Equally pertinent is the discussion of the cortical body matrix theory as a connection between cognitive and homeostatic representations of the body.
According to the matrix theory, we can judgment that the weight coefficient of each factor is the characteristic vector w of the judgment matrix.
Gang Wu: I work in the Systems Technology Lab, and we have researchers focused on matrix theory.
In spite of all it practicality, while the classical matrix theory is unable to solve the issues of many kinds of oddities.
Third, we shall formulate and study the problem of quantum chaos in clean lattice systems, in particular to establish a link between random matrix theory of level statistics and kinematic and dynamical features of lattice models with sufficiently strong integrability breaking.
In this work, the definitions for transmission loss and insertion loss are extended to the MIMO case using a different approach based on transfer matrix theory and superposition.
For related results concerning standard Jacobi matrix theory, we refer the reader to [9,10].
Besides, with the help of fuzzy linearization and linear matrix theory, the uncertain parameters can be well processed [23-25].
The book's 18 chapters begin with topics that might already be familiar to advanced undergraduates such as linear algebra, matrix theory, and differential equations and conclude with discussions of more advanced topics: conformal mapping; Fourier, Hankel and inverse Laplace transforms; and non-linear ordinary differential equations.
The decision threshold is derived based on random matrix theory.