Wedge Theory / Compound Matrices: Properties and Applications.

Abstract

The Navy utilizes matrices to analyze radar signals to determine the direction and velocity of aircraft. Matrix analysis is also useful in the sonar classification of submarines. One powerful tool for obtaining information about matrices is wedge theory. (The traditional terminology is compound matrix theory, whereas modern texts speak of mappings on the exterior algebra.) Wedge theory is a fundamental tool in multilinear algebra with important applications to group representations and tensor analysis. Current research indicates that it may also be useful in analyzing noisy data matrices, but this potential has not yet been fully explored. The purpose of this report is to collect details about wedge theory, in one accessible place, to facilitate future exploration of this topic. First, basic properties of the wedge operation are given along with definitions and examples. Then, an application to calculating the rank of a matrix with noise is considered. Finally, since the basic constructions can now be easily implemented on desktop computer algebra systems, the procedures for several such packages are illustrated.

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 1996
Accession Number
ADA320264

Entities

People

  • Debra L. Boutin
  • Robert M. Williams
  • Ronald F. Gleeson

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Algebra
  • Classification
  • Computational Science
  • Computers
  • Detectors
  • Eigenvalues
  • Equations
  • Fluid Dynamics
  • Linear Algebra
  • Mathematical Analysis
  • Mathematics
  • Matrix Theory
  • Military Research
  • Tensor Analysis
  • Vector Spaces

Readers

  • Database Systems and Applications
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Mathematical Modeling and Probability Theory.