eigenvalue of a square matrix
Học thuậtThân thiện
Definition
- Noun:
- (Mathematics) A scalar associated with a linear transformation: An
eigenvalue of a square matrixis a special number (scalar) for which there exists a non-zero vector (the eigenvector) such that when the matrix multiplies that vector, the result is simply the scalar multiple of the original vector. - A root of the characteristic polynomial: Formally, it is any number λ such that for a given square matrix A, the matrix (A – λI) has a determinant of zero, where I is the identity matrix of the same dimension.
Usage Examples
- Noun:
- Finding the
eigenvalue of a square matrixis a fundamental step in diagonalization. - The stability of the system is determined by the
eigenvalue of a square matrixderived from its differential equations. - If an
eigenvalue of a square matrixis zero, the matrix is singular.
Advanced Usage
- "Eigenvalue problem": The mathematical problem of finding the eigenvalues and eigenvectors of a matrix.
- Solving the
eigenvalue problemis crucial for understanding the matrix's properties.
- "Dominant eigenvalue": The eigenvalue with the largest absolute value.
- The power method is used to approximate the
dominant eigenvalueof a large matrix.
Variants and Related Words
- Eigenvalue (n): The standard, shortened form of . Often used interchangeably.
- The eigenvalues of the operator were complex numbers.
- Characteristic value (n): A synonym for eigenvalue.
- Latent root (n): Another synonym, less common.
- Eigenvector (n): The non-zero vector associated with a given eigenvalue.
- Each
eigenvaluehas at least one correspondingeigenvector.
Synonyms
- Characteristic root
- Proper value (less common)
Related Phrases
- "Compute the eigenvalues of": To calculate the eigenvalues for a given matrix.
- We need to
compute the eigenvalues ofthe covariance matrix.
- "Eigenvalue decomposition": A factorization of a matrix into a canonical form.
Eigenvalue decompositionreveals the matrix's inherent structure.
Noun
- (mathematics) any number such that a given square matrix minus that number times the identity matrix has a zero determinant