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Inverting 2x2 Matrices: Proof and Explanation, Study notes of Linear Algebra

A proof of the inversion formula for 2x2 matrices, using the standard method and including the definition of the determinant. It also explains the importance of the determinant in the inversion process.

What you will learn

  • How to find the inverse of a 2x2 matrix?
  • What is the determinant of a 2x2 matrix and how is it related to the inverse?
  • What is the condition for a 2x2 matrix to be invertible?

Typology: Study notes

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Uploaded on 09/12/2022

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Inverting 2ร—2matrices
In this note we invert the general 2ร—2 matrix as in Theorem 1.4.5 of Antonโ€“
Rorres. However, we apply only the standard inversion method, with no guesswork
or ingenuity needed.
Theorem 1 The 2ร—2matrix A="a b
c d #is invertible if and only if โˆ†6= 0, where
we write โˆ† = ad โˆ’bc. When โˆ†6= 0, the inverse is
Aโˆ’1=1
โˆ†"dโˆ’b
โˆ’c a #
Proof We row reduce the 2ร—4 partitioned matrix
[A|I] = "a b 1 0
c d 0 1 #(2)
to obtain the reduced row echelon matrix [I|Aโˆ’1]. There are two cases, depending on
whether a= 0 or not.
Case a6= 0 We multiply row 1 by 1/a to get
"1b/a 1/a 0
c d 0 1 #
Then we subtract ctimes row 1 from row 2 to obtain
"1b/a 1/a 0
0 โˆ†/a โˆ’c/a 1#
where we write the entry at row 2, column 2 as dโˆ’bc/a = โˆ†/a. If โˆ† = 0, inversion
breaks down at this point, as we will not get a leading 1 in column 2; otherwise, we
multiply row 2 by a/โˆ† to get the row echelon form
"1b/a 1/a 0
0 1 โˆ’c/โˆ†a/โˆ†#
Finally, we subtract b/a times row 2 from row 1 to get the desired reduced row echelon
matrix, whose right half we read off as Aโˆ’1, in the required form,
"1 0 d/โˆ†โˆ’b/โˆ†
0 1 โˆ’c/โˆ†a/โˆ†#
where at row 1, column 3 we write
1
a+bc
aโˆ†=ad โˆ’bc +bc
aโˆ†=d
โˆ†
110.201 Linear Algebra JMB File: twoinv, Revision A; 27 Aug 2001; Page 1
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Inverting 2 ร— 2 matrices

In this note we invert the general 2ร—2 matrix as in Theorem 1.4.5 of Antonโ€“ Rorres. However, we apply only the standard inversion method, with no guesswork or ingenuity needed.

Theorem 1 The 2 ร— 2 matrix A =

[ a b c d

] is invertible if and only if โˆ† 6 = 0, where

we write โˆ† = ad โˆ’ bc. When โˆ† 6 = 0, the inverse is

Aโˆ’^1 =

[ d โˆ’b โˆ’c a

]

Proof We row reduce the 2ร—4 partitioned matrix

[A|I] =

[ a b 1 0 c d 0 1

] (2)

to obtain the reduced row echelon matrix [I|Aโˆ’^1 ]. There are two cases, depending on whether a = 0 or not.

Case a 6 = 0 We multiply row 1 by 1/a to get

[ 1 b/a 1 /a 0 c d 0 1

]

Then we subtract c times row 1 from row 2 to obtain [ 1 b/a 1 /a 0 0 โˆ†/a โˆ’c/a 1

]

where we write the entry at row 2, column 2 as d โˆ’ bc/a = โˆ†/a. If โˆ† = 0, inversion breaks down at this point, as we will not get a leading 1 in column 2; otherwise, we multiply row 2 by a/โˆ† to get the row echelon form

[ 1 b/a 1 /a 0 0 1 โˆ’c/โˆ† a/โˆ†

]

Finally, we subtract b/a times row 2 from row 1 to get the desired reduced row echelon matrix, whose right half we read off as Aโˆ’^1 , in the required form, [ 1 0 d/โˆ† โˆ’b/โˆ† 0 1 โˆ’c/โˆ† a/โˆ†

]

where at row 1, column 3 we write

1 a

bc aโˆ†

ad โˆ’ bc + bc aโˆ†

d โˆ†

110.201 Linear Algebra JMB File: twoinv, Revision A; 27 Aug 2001; Page 1

2 Inverting 2 ร— 2 matrices

Case a = 0 We must have c 6 = 0 for inversion to progress, otherwise we have a column of zeros and will never get a leading 1 in column 1. First we switch rows 1 and 2 in (2), (^) [ c d 0 1 0 b 1 0

]

Now we multiply row 1 by 1/c to get the leading 1 in row 1, [ 1 d/c 0 1 /c 0 b 1 0

]

Again, inversion breaks down here unless b 6 = 0 because we need a leading 1 in column

  1. We multiply row 2 by 1/b to get the row echelon matrix [ 1 d/c 0 1 /c 0 1 1 /b 0

]

Finally, we subtract d/c times row 2 from row 1 to obtain the reduced row echelon matrix (^) [ 1 0 โˆ’d/bc 1 /c 0 1 1 /b 0

]

Because now โˆ† = โˆ’bc, this is what we want. (The condition โˆ† 6 = 0 is exactly what we need to guarantee that c 6 = 0 and b 6 = 0.) Because the expression โˆ† occurs everywhere, it deserves a name.

Definition 3 The determinant det(A) of the 2ร—2 matrix A is the expression

det(A) = โˆ† = ad โˆ’ bc

The method generalizes in principle to produce a formula for the inverse of a general nร—n matrix, so we know a formula exists. Even for n = 3, we need a better way to find it.

110.201 Linear Algebra JMB File: twoinv, Revision A; 27 Aug 2001; Page 2