Back to Search
Start Over
Numerical determination for solving the symmetric eigenvector problem using genetic algorithm
- Source :
- RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA)
- Publication Year :
- 2016
- Publisher :
- Elsevier, 2016.
-
Abstract
- The eigenvalues and eigenvectors of a matrix have many applications in engineering and science. For example they are important in studying and solving structural problems, in the treatment of signal or image processing, in the study of quantum mechanics and in certain physical problems. It is therefore essential to analyze methodologies to obtain the eigenvectors and eigenvalues of symmetric and Hermitian matrices. In this paper the authors present a methodology for obtaining the eigenvectors and eigenvalues of a symmetric or Hermitian matrix using a genetic algorithm. Unlike other methodologies, the process is centred in searching the eigenvectors and calculating the eigenvalues afterwards. In the search of the eigenvectors a genetic-based algorithm is used. Genetic algorithms are indicated when the search space is extended, unknown or with an intricate geometry. Also, the target vector space can be either real or complex, allowing in this way a wider field of application for the proposed method. The algorithm is tested comparing the results with those obtained by other methods or with the values previously known. So, seven applications are included: a real symmetric matrix corresponding to a vibrating system, a complex Hermitian matrix and an important application of the diagonalization problem (Coope matrix) corresponding to quantum mechanics examples, a physical problem in which data are analysed to reduce the number of variables, a comparison with the power method and the studies of a degenerate and an ill-conditioned matrix.
- Subjects :
- 0209 industrial biotechnology
Matrix differential equation
Diagonalizable matrix
Eigenvector
Eigenvalue
MathematicsofComputing_NUMERICALANALYSIS
02 engineering and technology
Symmetric matrices
symbols.namesake
020901 industrial engineering & automation
Hermitian matrices
0202 electrical engineering, electronic engineering, information engineering
Modal matrix
Computational methods
Applied mathematics
Symmetric matrix
Eigendecomposition of a matrix
Mathematics
Applied Mathematics
Mathematical analysis
Matemática Aplicada
Ciencia de la Computación e Inteligencia Artificial
Jacobi eigenvalue algorithm
Genetic algorithm
Modeling and Simulation
symbols
020201 artificial intelligence & image processing
Defective matrix
Eigenvalue perturbation
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA)
- Accession number :
- edsair.doi.dedup.....13142bf1965dea7773b3e64639d914a3