Home | | Maths 12th Std | Properties of inverses of matrices

Definition, Theorem, Formulas, Solved Example Problems | Inverse of a Non-Singular Square Matrix - Properties of inverses of matrices | 12th Mathematics : UNIT 1 : Applications of Matrices and Determinants

Chapter: 12th Mathematics : UNIT 1 : Applications of Matrices and Determinants

Properties of inverses of matrices

We state and prove some theorems on non-singular matrices.

Properties of inverses of matrices

We state and prove some theorems on non-singular matrices.

 

Theorem 1.4

If A is non-singular, then


, where λ is a non-zero scalar.

Proof

Let A be non-singular. Then |A| ≠ 0 and A−1 exists. By definition,


 

Theorem 1.5 (Left Cancellation Law)

Let A, B, and C be square matrices of order n. If A is non-singular and AB = AC, then B = C.

Proof

Since A is non-singular, A−1 exists and AA−1 = A−1 A = In . Taking AB = AC and pre-multiplying both sides by A−1, we get A−1 ( AB) = A−1 ( AC). By using the associative property of matrix multiplication and property of inverse matrix, we get B = C.

 

Theorem1.6 (Right Cancellation Law)

Let A, B, and C be square matrices of order n. If A is non-singular and BA = CA, then B = C.

Proof

Since A is non-singular, A−1 exists and AA−1 = A−1 A = In . Taking BA = CA and post-multiplying both sides by A−1, we get (BA) A−1 = (CA) A−1. By using the associative property of matrix multiplication and property of inverse matrix, we get B = C.

Note

If A is singular and AB = AC or BA = CA, then B and C need not be equal. For instance, consider the following matrices:


We note that |A| = 0 and AB = AC ; . but B  ≠ C

 

Theorem 1.7 (Reversal Law for Inverses)

If A and B are non-singular matrices of the same order, then the product AB is also non-singular and ( AB)−1 = B−1 A−1.

Proof

Assume that A and B are non-singular matrices of same order n. Then,| A | ≠ 0, | B | ≠ 0, both A−1 and B−1 exist and they are of order n. The products AB and B−1 A−1 can be found and they are also of order n. Using the product rule for determinants, we get |AB| =| A || B |≠ 0. So, AB is non-singular and

( AB)(B-1 A-1 ) = ( A(BB-1 )) A-1 = ( AIn ) A-1 = AA-1 = In ;

(B-1 A-1 )( AB) = (B-1 ( A-1 A))B = (B-1In )B = B-1B = In .

Hence ( AB)−1 = B−1 A−1.

 

Theorem 1.8 (Law of Double Inverse)

If A is non-singular, then A−1 is also non-singular and ( A−1 )−1 = A.

Proof

Assume that A is non-singular. Then |A | ≠ 0, and A−1 exists.

Now, |A-1| = 1/|A| ≠ 0

⇒  A-1 is also non-singular, and AA-1 = A-1A = I

Now, A-1A = I  ⇒ (AA-1)-1 = I ⇒ (A-1)-1 A-1 = I.

Post-multiplying by A on both sides of equation (1), we get (A-1)-1 =A.

 

Theorem 1.9

If A is a non-singular square matrix of order n , then


Proof

Since A is a non-singular square matrix, we have |A| ≠ 0 and so, we get


 

Note

If A is a non-singular matrix of order 3, then, |A | ≠ 0 . By theorem 1.9 (ii), we get |adjA| = | A|2 and so, | adj A | is positive. Then, we get |A| = ± √|adjA| .

So, we get 

Further, by property (iii), we get 

Hence, if A is a non-singular matrix of order 3, then we get 

 

Example 1.4

If A is a non-singular matrix of odd order, prove that |adj A| is positive.

Solution

Let A be a non-singular matrix of order 2m + 1 , where m = 0,1, 2, .. . . Then, we get |A| ≠ 0 and, by theorem 1.9 (ii), we have |adj A| = |A|(2m+1)-1 = |A|2m 

Since |A|2m is always positive, we get that |adj A| is positive.

 

Example 1.5

Find a matrix  A if adj( A)

Solution


 

Example 1.6

If adj A = find A−1.

Solution


 

Example1.7

If A is symmetric, prove that adj A is also symmetric.

Solution

Suppose A is symmetric. Then, AT = A and so, by theorem 1.9 (vi), we get

adj (AT) = (adj A) T  â‡’ adj A = (adj A)T ⇒ adj A is symmetric

 

Theorem 1.10

If A and B are any two non-singular square matrices of order n , then

adj( AB) = (adj B)(adj A).

Proof

Replacing A by AB in adj(A) = |A|A−1 , we get

adj(AB) = |AB| (AB)-1 = (| B | B-1) (| A | A-1) = adj(B) adj(A)

 

Example 1.8

Verify the property  ( AT  )−1  = ( A−1 )T  with  A .

Solution

For the given A, we get |A |= (2) (7) -  (9)(1) = 14 − 9 = 5 .


From (1) and (2), we get (A-1) = (AT)-1. Thus, we have verified the given property.

 

Example 1.9

Verify ( AB)−1 = B−1 A−1 with 

Solution


As the matrices in (1) and (2) are same, (AB) −1 = B-1 A-1 is verified.

 

Example 1.10

If  A  = , find x and y such that A2 + xA + yI2=O2, Hence, find A−1.

Solution


So, we get 22 + 4x + y =0, 31+5x+y=0, 27+3x=0 and 18+2x=0

Hence x = −9 and y =14.Then, we get A2 - 9A + 14I2 = O2

Post-multiplying this equation by A−1 , we get A – 9I2 + 14A-1 = O2.  Hence, we get


 

Tags : Definition, Theorem, Formulas, Solved Example Problems | Inverse of a Non-Singular Square Matrix , 12th Mathematics : UNIT 1 : Applications of Matrices and Determinants
Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail
12th Mathematics : UNIT 1 : Applications of Matrices and Determinants : Properties of inverses of matrices | Definition, Theorem, Formulas, Solved Example Problems | Inverse of a Non-Singular Square Matrix

Related Topics

12th Mathematics : UNIT 1 : Applications of Matrices and Determinants


Privacy Policy, Terms and Conditions, DMCA Policy and Compliant

Copyright © 2018-2024 BrainKart.com; All Rights Reserved. Developed by Therithal info, Chennai.