diagonalization
Học thuậtThân thiện
Definition
- Noun:
- The process of converting a square matrix into a diagonal matrix: In linear algebra, diagonalization is a specific operation where a square matrix is transformed so that all its non-zero entries are located on its main diagonal, with zeros elsewhere. This is typically achieved by finding a basis of eigenvectors.
- The result or state of being diagonalized: The term can also refer to the diagonal form itself that is the outcome of this process.
Usage Examples
- Noun:
- The diagonalization of the matrix simplified the system of equations enormously.
- A key step in solving the differential equation was the diagonalization of the coefficient matrix.
- Not all matrices are susceptible to diagonalization; some can only be put into Jordan form.
Advanced Usage
- "To perform diagonalization": To carry out the process of diagonalizing a matrix.
- The software can perform diagonalization on large, sparse matrices efficiently.
- "Simultaneous diagonalization": A process where two or more matrices are diagonalized by the same similarity transformation.
- The concept of simultaneous diagonalization is crucial in quantum mechanics for commuting observables.
Variants and Related Words
- Diagonalize (verb): To convert a matrix into diagonal form.
- We need to diagonalize this operator to find its spectrum.
- Diagonal (adjective/noun): Relating to or forming a diagonal; a straight line joining two non-adjacent corners.
- The diagonal elements of the new matrix are its eigenvalues.
- Diagonalisation (noun): British English spelling of 'diagonalization'.
- The paper uses the spelling 'diagonalisation'.
Synonyms
- Transformation to diagonal form: A more descriptive phrase for the process.
- Spectral decomposition: A closely related concept for normal matrices, where diagonalization is achieved via a unitary transformation.
Related Phrases and Concepts
- "Diagonalization theorem": A fundamental theorem stating conditions under which a matrix can be diagonalized.
- According to the diagonalization theorem, an n x n matrix is diagonalizable if it has n linearly independent eigenvectors.
- "Unitary diagonalization": Diagonalization performed using a unitary matrix, which is typical for normal matrices (e.g., Hermitian or symmetric matrices).
- The unitary diagonalization of a Hermitian matrix guarantees a basis of orthonormal eigenvectors.
Noun
- changing a square matrix to diagonal form (with all non-zero elements on the principal diagonal)
- the diagonalization of a normal matrix by a unitary transformation