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Which of the following statements about the matrices U and V from [U, S, V] = svd(A); is true?

easy📝 Conceptual Q2 of 15
MATLAB - Linear Algebra
Which of the following statements about the matrices U and V from [U, S, V] = svd(A); is true?
A<code>U</code> and <code>V</code> are always square identity matrices
B<code>U</code> is diagonal and <code>V</code> is upper triangular
C<code>U</code> contains eigenvalues and <code>V</code> contains eigenvectors
DBoth <code>U</code> and <code>V</code> are orthogonal matrices
Step-by-Step Solution
Solution:
  1. Step 1: Recall properties of U and V in SVD

    In singular value decomposition, U and V are orthogonal matrices, meaning their columns are orthonormal vectors.
  2. Step 2: Confirm orthogonality

    Orthogonal matrices satisfy U'*U = I and V'*V = I, where I is the identity matrix.
  3. Final Answer:

    Both U and V are orthogonal matrices -> Option D
  4. Quick Check:

    U and V are orthogonal matrices [OK]
Quick Trick: U and V are always orthogonal in SVD [OK]
Common Mistakes:
  • Thinking U or V are diagonal
  • Confusing eigenvalues with singular values
  • Assuming U or V are identity matrices

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