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What are the three matrices obtained from LU decomposition of a square matrix A?

easy📝 Conceptual Q1 of 15
SciPy - Linear Algebra (scipy.linalg)
What are the three matrices obtained from LU decomposition of a square matrix A?
ADiagonal matrix D, Orthogonal matrix Q, and Permutation matrix P
BUpper triangular matrix U, Diagonal matrix D, and Identity matrix I
CSymmetric matrix S, Diagonal matrix D, and Orthogonal matrix Q
DLower triangular matrix L, Upper triangular matrix U, and Permutation matrix P
Step-by-Step Solution
Solution:
  1. Step 1: Understand LU decomposition output

    LU decomposition factorizes a matrix A into three matrices: L (lower triangular), U (upper triangular), and P (permutation matrix) to handle row exchanges.
  2. Step 2: Match matrices with options

    Only Lower triangular matrix L, Upper triangular matrix U, and Permutation matrix P correctly lists L, U, and P matrices as output of LU decomposition.
  3. Final Answer:

    Lower triangular matrix L, Upper triangular matrix U, and Permutation matrix P -> Option D
  4. Quick Check:

    LU decomposition matrices = L, U, P [OK]
Quick Trick: LU decomposition always returns L, U, and P matrices [OK]
Common Mistakes:
MISTAKES
  • Confusing LU with QR decomposition matrices
  • Ignoring the permutation matrix P
  • Thinking LU returns only two matrices

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