SUMMARY
Every 3x3 quadratic matrix has at least one eigenvalue, as established by the characteristic polynomial which decomposes into linear factors in an algebraically closed field. This means that while a real matrix will always have at least one real eigenvalue, complex matrices can have eigenvalues that are not real. For instance, a diagonal matrix like diag(i, i, i) demonstrates that a complex 3x3 matrix can have a single eigenvalue. The discussion emphasizes the importance of the base field in determining the nature of eigenvalues.
PREREQUISITES
- Understanding of eigenvalues and eigenvectors
- Familiarity with characteristic polynomials
- Knowledge of algebraically closed fields
- Basic concepts of linear algebra
NEXT STEPS
- Study the properties of characteristic polynomials in linear algebra
- Explore the implications of algebraically closed fields on eigenvalues
- Learn about diagonal matrices and their eigenvalues
- Investigate the differences between real and complex eigenvalues
USEFUL FOR
Students and professionals in mathematics, particularly those studying linear algebra, eigenvalue theory, and matrix analysis will benefit from this discussion.