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DETERMINANTS

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1. Every square matrix can be associated to an expression or a number which is known as its determinant. – PowerPoint PPT presentation

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Title: DETERMINANTS


1
Scholars learning
  • DETERMINANTS

2
  • Every square matrix can be associated to an
    expression or a number which is known as its
    determinant.
  •  
  • If A is a square matrix of order 2 X 2,
    then its determinant is denoted by
  • A or, and is defined as a11 a22 a12 a21.
  •  
  • i.e. A a11 a22 a12 a21
  •  
  • If A is a square matrix of order 3 X
    3,
  •  
  •  
  • then its determinant is denoted by A or,
  •  
  • and is equal to a11 a22 a33 a12 a23 a31 a13
    a32 a21 a11 a23 a32 - a22 a13 a31 a12
    a21 a33

3
  • This expression can be arranged in the following
    form
  •  
  • (-1)1 1 a11 (-1)1 2 a12
  •  
  • (-1)1 3 a13
  •  
  •  
  •  
  • This is known as the expansion of A along first
    row.
  •  
  • In fact, A can be expanded along any of its
    rows or columns. In order to expand A along any
    row or column, we multiply
  •  
  •  
  • Example 1 - Evaluate the determinant
  • D by expanding it along first column.
  •  
  • SOLUTION By using the definition, of expansion
    along first column, we obtain
  • D
  •  

4
  • D (-1)11 (2) (-1)21 (1)
    (-1)31 (-2)
  • D 2 - -2
  •  
  • D 2 (-6-3) (-92) -2(94) -18 7-26 -37.
  • NOTE 1 Only square matrices have their
    determinants. The matrices which are not square
    do not have determinants.
  • NOTE 2 The determinant of a square matrix of
    order 3 can be expressed along any row or column.
  • NOTE 3 If a row or a column of a determinant
    consists of all zeros, then the value of the
    determinant is zero.
  •  
  • There are three rows and three columns in a
    square matrix of order 3.
  • PROPERTIES OF DETERMINANTS
  • We have defined the determinants of a square
    matrix of order 4 or less. In fact, these
    definitions are consequences of the general
    definition of the determinant of a square matrix
    of any order which needs so many advanced
    concepts. These concepts are beyond the scope of
    this book. Using the said definition and some
    other advanced concepts we can prove the
    following properties. But, the concepts used in
    the definition itself are very advanced.
    Therefore we mention and verify them for a
    determinant of a square matrix of order 3.

5
  • Property 1 let A aij be a square matrix of
    order n, then the sum of the product of elements
    of any row(column) with their cofactors is always
    equal to A or, det (A).
  • Property 2 let A aij be a square matrix of
    order n, then the sum of the product of elements
    of any row(column) with the cofactors of the
    corresponding elements of some other row (column)
    is zero.
  •  
  • Property 3 Let A aij be a square matrix of
    order n, then A AT.
  • Property 4 let A aij be a square matrix of
    order n(2) and let B be a matrix obtained from A
    by interchanging any two rows(columns) of A, then
    B -A.
  •  
  • Conventionally this property is also stated as
  • If any two rows (columns) of a determinant are
    interchanged, then the value of the determinant
    changes by minus sign only.
  •  
  • Property 5 if any two rows (columns) of a square
    matrix A aij of order n (gt2) are identical,
    then its determinant is zero i.e. A 0.
  •  
  • Property 6 Let A aij be a square matrix of
    order n, and let B be the matrix obtained from A
    by multiplying each element of a row (column) of
    A by a scalar k, then B k A.

6
  • Property 7 Let A square matrix such that each
    element of row (column) of A is expressed as the
    sum of two or more terms. Then, the determinant
    of A can be expressed as the sum of the
    determinants of two or more matrices of the same
    order.
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