06.09.2021 Views

A First Course in Linear Algebra, 2017a

A First Course in Linear Algebra, 2017a

A First Course in Linear Algebra, 2017a

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

12 Systems of Equations<br />

2. Next we want to prove that the systems 1.1 and 1.3 have the same solution set. That is E 1 = b 1 ,E 2 =<br />

b 2 has the same solution set as the system E 1 = b 1 ,kE 2 = kb 2 provided k ≠ 0. Let (x 1 ,···,x n ) be a<br />

solution of E 1 = b 1 ,E 2 = b 2 ,. We want to show that it is a solution to E 1 = b 1 ,kE 2 = kb 2 . Notice that<br />

the only difference between these two systems is that the second <strong>in</strong>volves multiply<strong>in</strong>g the equation,<br />

E 2 = b 2 by the scalar k. Recall that when you multiply both sides of an equation by the same number,<br />

the sides are still equal to each other. Hence if (x 1 ,···,x n ) is a solution to E 2 = b 2 , then it will also<br />

be a solution to kE 2 = kb 2 . Hence, (x 1 ,···,x n ) is also a solution to 1.3.<br />

Similarly, let (x 1 ,···,x n ) be a solution of E 1 = b 1 ,kE 2 = kb 2 . Then we can multiply the equation<br />

kE 2 = kb 2 by the scalar 1/k, which is possible only because we have required that k ≠ 0. Just as<br />

above, this action preserves equality and we obta<strong>in</strong> the equation E 2 = b 2 . Hence (x 1 ,···,x n ) is also<br />

a solution to E 1 = b 1 ,E 2 = b 2 .<br />

3. F<strong>in</strong>ally, we will prove that the systems 1.1 and 1.4 have the same solution set. We will show that<br />

any solution of E 1 = b 1 ,E 2 = b 2 is also a solution of 1.4. Then, we will show that any solution of<br />

1.4 is also a solution of E 1 = b 1 ,E 2 = b 2 .Let(x 1 ,···,x n ) be a solution to E 1 = b 1 ,E 2 = b 2 .Then<br />

<strong>in</strong> particular it solves E 1 = b 1 . Hence, it solves the first equation <strong>in</strong> 1.4. Similarly, it also solves<br />

E 2 = b 2 . By our proof of 1.3,italsosolveskE 1 = kb 1 . Notice that if we add E 2 and kE 1 , this is equal<br />

to b 2 +kb 1 . Therefore, if (x 1 ,···,x n ) solves E 1 = b 1 ,E 2 = b 2 it must also solve E 2 +kE 1 = b 2 +kb 1 .<br />

Now suppose (x 1 ,···,x n ) solves the system E 1 = b 1 ,E 2 + kE 1 = b 2 + kb 1 . Then <strong>in</strong> particular it is a<br />

solution of E 1 = b 1 . Aga<strong>in</strong> by our proof of 1.3, it is also a solution to kE 1 = kb 1 . Now if we subtract<br />

these equal quantities from both sides of E 2 + kE 1 = b 2 + kb 1 we obta<strong>in</strong> E 2 = b 2 , which shows that<br />

the solution also satisfies E 1 = b 1 ,E 2 = b 2 .<br />

Stated simply, the above theorem shows that the elementary operations do not change the solution set<br />

of a system of equations.<br />

We will now look at an example of a system of three equations and three variables. Similarly to the<br />

previous examples, the goal is to f<strong>in</strong>d values for x,y,z such that each of the given equations are satisfied<br />

when these values are substituted <strong>in</strong>.<br />

Example 1.9: Solv<strong>in</strong>g a System of Equations with Elementary Operations<br />

F<strong>in</strong>d the solutions to the system,<br />

♠<br />

x + 3y + 6z = 25<br />

2x + 7y + 14z = 58<br />

2y + 5z = 19<br />

(1.5)<br />

Solution. We can relate this system to Theorem 1.8 above. In this case, we have<br />

E 1 = x + 3y + 6z, b 1 = 25<br />

E 2 = 2x + 7y + 14z, b 2 = 58<br />

E 3 = 2y + 5z, b 3 = 19<br />

Theorem 1.8 claims that if we do elementary operations on this system, we will not change the solution<br />

set. Therefore, we can solve this system us<strong>in</strong>g the elementary operations given <strong>in</strong> Def<strong>in</strong>ition 1.6. <strong>First</strong>,

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!