Determinants LECTURE Calculating the Area of a Parallelogram. Definition Let A be a 2 2 matrix. A = The determinant of A is the number


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1 LECTURE 13 Determinants 1. Calculating the Area of a Parallelogram Definition Let A be a matrix. [ a c b d ] The determinant of A is the number det A) = ad bc Now consider the parallelogram formed from two vectors u, v R. The area of this parallelogram is evidently the sum of the areas the two isometric triangles obtained by bisecting the parallelogram along the line from the tip of u to the tip of v. Now the height of a triangle formed from u and v will be given by u sin θ). 1
2 . CALCULATING THE VOLUME OF A PARALLELOPIPED The area of this triangle is given by a formula from high school geometry: area of a triangle = 1 length of base) height of triangle) Hence, the area for the parallelogram will be If we square both sides we have So = 1 v u sin θ) area of parallelogram = times area of uv = 1 v u sin θ) = v u sin θ) = v u 1 cos θ) area = v u 1 cos θ) ) ) ) = v u u v 1 v u = v u u v) = v v)u u) u v) = v 1 + ) v u 1 + ) u u1 v 1 + u v ) = v 1 u 1 + v 1 u + v u 1 + v u v 1 u 1 u 1 v 1 u v v u = v 1 u + v u 1 u 1 v 1 u v = u1 v u v 1) area = u1 v u v 1 Now let A be the matrix formed by interpreting u, v R as its columns: [ ] u1 v A 1 = u v Evidently, det A) = u 1 v u v 1 = area of parallelogram formed from u and v. Calculating the Volume of a Parallelopiped Definition 13.. Let A be a 3 3 matrix. The determinant of A is the number a 11 a 1 a 13 a 1 a a 3 a 31 a 3 a 33 det A) = a 11 a a 33 + a 1 a 3 a 31 + a 13 a 1 a 3 a 13 a a 31 a 1 a 1 a 33 a 11 a 3 a 3 A parallelopiped is the 3dimensional analog a dimensional parallelogram; these are constructed by regarding three 3dimensional vectors and their translates as the edges of a solid body, and the parallelograms formed from pairs of these vectors as the sides. We shall not work out the geometry of this example but simply state the following fact:
3 3. MORE GENERAL DETERMINANTS 3 Fact Let P a,b,c be the parallelopiped associated with three vectors a, b, c R 3, and let A be the 3 3 matrix formed by regarding the vectors a, b, and c as its column vectors. Then volume of P a,b,c = det A) 3. More General Determinants The formula for the determinant of a general n n will in general involve n! separate terms; thus, the determinant for a 4 4 matrix will involve 4! = 4 terms, and the determinant for a 5 5 matrix will involve 5! = 60 terms! Rather than giving an explicit formula for the higher order determinants, we ll present an algorithmic construction. Definition Let [a ij ] be an n n matrix. The minor matrix corresponding to the entry a ij is the n 1) n 1) matrix formed from A by deleting the i th row and j th column of A. Definition The determinant of a 1 1 matrix is its sole entry. Let [a ij ] be an n n matrix. The cofactor C ij of a ij is 1) i+j times the determinant of the minor matrix M ij corresponding to a ij. The determinant of A is det A) = a 11 a 1 a 1n a 1 a an1 an ann C ij = 1) i+j det A ij ) Example Calculate the determinant of the following matrix. We have Now =1) = 0) 1 1 = 1) = 1) ) = a 11 C 11 + a 1 C 1 + a 13 C a 1n C 1n 1) ) ) + ) 1 1 0) 0 1 +) ) 0 1 1) =0 0 ) ) = 6 = ) ) + 1) = 6 = 1+1)+0+ 1) = 3
4 4. PROPERTIES OF DETERMINANTS 4 So =1)6) )6) + 0 3) = 3 Theorem Properties of Determinants 1. For any square matrix A, we have det A ) T = det A).. If A is a square matrix and A is a matrix obtained from A by interchanging two of its rows then det A )= det A). 3. If two rows of a square matrix A are identical then det A) =0. 4. If A is a square matrix and A is a matrix obtained from A by multiplying one of its rows by a scalar r then det A )=r det A) 5. If A is a square matrix and A is a matrix obtained from A by adding a scalar multiple of one row to another, then det A )=deta). The above theorem tells us what effect each of the elementary row operations has on the determinant of a matrix. We also have Lemma If A is an upper triangular matrix then det A) is equal to the products of the entries along the diagonal. We won t prove this theorem in general. However, the basic idea underlying this theorem is easily demonstrated by a simple example. Example Compute the determinant of We have = 1) = 1) 5) ) +3) 4) ) 0) 0) ) ) ) + 7) ) 6) ) ) 0 9 5) ) ) ) ) ) 4) = 1) 5)8)10) + 6)0) + 7)0)) ) 0)8)9) 6)0) + 7)0)) +3) 0)0) 5)0) + 7)0)) 4) 0)0) 5)0) + 6)0)) = 1)5)8)10) = 1)5)8)10) Combining the theorem and lemma above we can now conclude
5 4. PROPERTIES OF DETERMINANTS 5 Corollary If A is an n n matrix and A rescalings, then det A) = 1) j is a rowechelon form of A obtained without row n a ii i=1 where j is the total number of rowinterchanges that occured in rowreducing A to A. total product of the diagonal entries of A. n Here ι=1 is the a ii Corollary Asquare matrix A is invertible if and only if det A) 0. Theorem The determinant of a product of two square matrices is equal to the product of their determinants: det AB) =deta) det B).
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