diagonalization

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diagonalization

A mathematician writes a diagonalization of a matrix on a whiteboard.

Definition
  1. 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.
diagonalization

A mathematician writes a diagonalization of a matrix on a whiteboard.

Noun
  1. 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

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