Related Experiment Video
Updated: Jun 25, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Cavity approach to the spectral density of non-Hermitian sparse matrices
Tim Rogers1, Isaac Pérez Castillo
1Department of Mathematics, King's College London, Strand, London WC2R 2LS, United Kingdom.
Abstract:
The spectral densities of ensembles of non-Hermitian sparse random matrices are analyzed using the cavity method. We present a set of equations from which the spectral density of a given ensemble can be efficiently and exactly calculated. Within this approach, the generalized Girko's law is recovered easily. We compare our results with direct diagonalisation for a number of random matrix ensembles, finding excellent agreement.
Related Concept Videos
Vector Algebra: Method of Components
In many applications, the magnitudes and directions of...
Gauss's Law: Cylindrical Symmetry
Cartesian Form for Vector Formulation
Symmetry in Maxwell's Equations
Gauss's Law: Planar Symmetry
Graphical and Analytic Representation of Sinusoids
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...

