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Math 15: Linear Algebra MATRIX and OPERATIONS ON MATRIX MATRIX  - any rectangular array of m x n real numbers arranged in m horizontal rows and n vertical columns.
Math 15: Linear Algebra MATRIX and OPERATIONS ON MATRIX a ij  – element found in the i th  row and j th  column size of the matrix – m x n
Math 15: Linear Algebra Types of Matrix: 1. SQUARE MATRIX  - an n x n matrix, same number of rows and columns 2. DIAGONAL MATRIX  - a square matrix in which a ij  = 0 when i is not equal to j.
Math 15: Linear Algebra Illustrations:
Math 15: Linear Algebra Types of Matrix: 3. SCALAR MATRIX  - diagonal matrix in which all terms in the main diagonal are equal.
Math 15: Linear Algebra Types of Matrix: 4. IDENTITY MATRIX  - diagonal matrix in which all terms in the main diagonal are equal to 1.
Math 15: Linear Algebra Operations on Matrices: ,[object Object],[object Object],Note: For matrix subtraction, C = A – B implies c ij  = a ij  - b ij  .
Math 15: Linear Algebra Operations on Matrices: 2.  Scalar Product: B = rA, where b ij  = r x a ij   and r is a scalar number.
Math 15: Linear Algebra Illustrations: Evaluate: 1. A + B 3. 2A+3B 2. A – B 4. 4A - B
Math 15: Linear Algebra Operations on Matrices: 3. Dot Product: C = A  B, where c ij  = a ij  x b ij,  provided A and B are of the same size. Illustration: Evaluate  A  B from the previous example.
Math 15: Linear Algebra Operations on Matrices: 4.  MATRIX MULTIPLICATION C = AB, where C ij  = a i1 b 1j + a i2 b 2j  +… a ip b 1p size of A    m x p size of B    p x n size of C    m x n
Math 15: Linear Algebra Illustrations: Evaluate both AB and BA.  What did you observe? Note: AB is not necessarily equal to BA.
Math 15: Linear Algebra Operations on Matrices: 5. Matrix Transpose, A T  (or A’) If A is an m x n matrix, then n x m matrix A T  = [a ij T ], where a ij T  = a ji  . Illustration: Evaluate  A T  and  B T  from the previous example.
Math 15: Linear Algebra Definition: A matrix A is  symmetric  if A T  = A.   Illustration: Verify if the following matrix is symmetric.
Math 15: Linear Algebra Properties of Matrix Operations: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Math 15: Linear Algebra Properties of Matrix Operations: 2. Scalar Multiplication a.  r(sA) = (rs)A b. (r+s)A = rA +sA c. r(A+ B) = rA + rB d. A(rB) = r(AB)
Math 15: Linear Algebra Properties of Matrix Operations: 3. Matrix Multiplication a.  A(BC) = (AB)C b. A(B+C) = AB +AC c. (A+ B)C = AC + BC
Math 15: Linear Algebra Properties of Matrix Operations: 4. Matrix Transpose a.  (A T )  T  = A b. (A+B)  T  = A T  +B T c. (A B)  T  = B T  A T d. (rA) T  = rA T
Math 15: Linear Algebra End

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Math15 Lecture1

  • 1. Math 15: Linear Algebra MATRIX and OPERATIONS ON MATRIX MATRIX - any rectangular array of m x n real numbers arranged in m horizontal rows and n vertical columns.
  • 2. Math 15: Linear Algebra MATRIX and OPERATIONS ON MATRIX a ij – element found in the i th row and j th column size of the matrix – m x n
  • 3. Math 15: Linear Algebra Types of Matrix: 1. SQUARE MATRIX - an n x n matrix, same number of rows and columns 2. DIAGONAL MATRIX - a square matrix in which a ij = 0 when i is not equal to j.
  • 4. Math 15: Linear Algebra Illustrations:
  • 5. Math 15: Linear Algebra Types of Matrix: 3. SCALAR MATRIX - diagonal matrix in which all terms in the main diagonal are equal.
  • 6. Math 15: Linear Algebra Types of Matrix: 4. IDENTITY MATRIX - diagonal matrix in which all terms in the main diagonal are equal to 1.
  • 7.
  • 8. Math 15: Linear Algebra Operations on Matrices: 2. Scalar Product: B = rA, where b ij = r x a ij and r is a scalar number.
  • 9. Math 15: Linear Algebra Illustrations: Evaluate: 1. A + B 3. 2A+3B 2. A – B 4. 4A - B
  • 10. Math 15: Linear Algebra Operations on Matrices: 3. Dot Product: C = A B, where c ij = a ij x b ij, provided A and B are of the same size. Illustration: Evaluate A B from the previous example.
  • 11. Math 15: Linear Algebra Operations on Matrices: 4. MATRIX MULTIPLICATION C = AB, where C ij = a i1 b 1j + a i2 b 2j +… a ip b 1p size of A  m x p size of B  p x n size of C  m x n
  • 12. Math 15: Linear Algebra Illustrations: Evaluate both AB and BA. What did you observe? Note: AB is not necessarily equal to BA.
  • 13. Math 15: Linear Algebra Operations on Matrices: 5. Matrix Transpose, A T (or A’) If A is an m x n matrix, then n x m matrix A T = [a ij T ], where a ij T = a ji . Illustration: Evaluate A T and B T from the previous example.
  • 14. Math 15: Linear Algebra Definition: A matrix A is symmetric if A T = A. Illustration: Verify if the following matrix is symmetric.
  • 15.
  • 16. Math 15: Linear Algebra Properties of Matrix Operations: 2. Scalar Multiplication a. r(sA) = (rs)A b. (r+s)A = rA +sA c. r(A+ B) = rA + rB d. A(rB) = r(AB)
  • 17. Math 15: Linear Algebra Properties of Matrix Operations: 3. Matrix Multiplication a. A(BC) = (AB)C b. A(B+C) = AB +AC c. (A+ B)C = AC + BC
  • 18. Math 15: Linear Algebra Properties of Matrix Operations: 4. Matrix Transpose a. (A T ) T = A b. (A+B) T = A T +B T c. (A B) T = B T A T d. (rA) T = rA T
  • 19. Math 15: Linear Algebra End