Let A be an n x n complex matrix. Assume that A is self-adjoint and le...
- Self-adjoint Matrix: A self-adjoint (Hermitian) matrix A has real eigenvalues.
- Matrix B: B is the inverse of (A - iIn).
- Eigenvalues of (A - iIn)B:
- (A - iIn)B is the identity matrix, as B is the inverse of (A - iIn).
- The eigenvalues of the identity matrix are 1.
- Conclusion: All eigenvalues of (A - iIn)B have modulus one, making option B correct.
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Let A be an n x n complex matrix. Assume that A is self-adjoint and le...
Understanding the Problem
Given a self-adjoint (Hermitian) matrix A and its inverse B defined as B = (A + iIn)^(-1), we need to analyze the eigenvalues of the product (A - iIn)B.
Self-Adjoint Properties
- A self-adjoint matrix has real eigenvalues.
- The eigenvalues of A can be denoted as λ_k, and they are real numbers.
Eigenvalues of B
- Since A is self-adjoint, A + iIn is positive definite.
- Consequently, B, the inverse of a positive definite matrix, also has positive eigenvalues, which implies that all its eigenvalues are positive.
Eigenvalue Relationship
- Let v be an eigenvector of B corresponding to an eigenvalue μ.
- Then (A + iIn)v = (1/μ)v.
- We can express (A - iIn)B as (A - iIn) * (1/μ)v = [(A - iIn)(1/μ)v].
Eigenvalues of (A - iIn)B
- The eigenvalue of (A - iIn)B is given by (λ_k - i)/μ, where λ_k is an eigenvalue of A.
- We need to analyze the modulus of this expression.
Modulus Analysis
- The modulus of (λ_k - i)/μ is calculated as:
|(λ_k - i)/μ| = |λ_k - i| / |μ|.
- The term |λ_k - i| is equal to sqrt(λ_k^2 + 1), which is always greater than or equal to 1 for real λ_k.
- Since μ is positive, |μ| > 0. Thus, we conclude that the eigenvalues of (A - iIn)B will have a modulus of 1 when μ is the appropriate eigenvalue corresponding to the normalization of the eigenvalue relationship.
Conclusion
Thus, all eigenvalues of (A - iIn)B are of modulus one, confirming that the correct answer is option 'B'.