06.09.2021 Views

Linear Algebra, Theory And Applications, 2012a

Linear Algebra, Theory And Applications, 2012a

Linear Algebra, Theory And Applications, 2012a

SHOW MORE
SHOW LESS

Create successful ePaper yourself

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

6.5. DUALITY 155<br />

and there are still negative numbers. Pick the column which has the −13/4. The pivot is<br />

the 3/8 in the top. This yields<br />

⎛<br />

⎞<br />

1 8<br />

1 2<br />

3 3<br />

0 1<br />

3 3<br />

0 − 1 2<br />

3<br />

0 0<br />

3<br />

1 1 0 0 0 0 1 −1 0 0 1<br />

1<br />

⎜ 3<br />

− 1 1<br />

3<br />

1 0<br />

3<br />

− 1 2<br />

2<br />

3<br />

0<br />

3<br />

0 0 3 ⎟<br />

⎝ 7<br />

3<br />

− 4 1<br />

3<br />

0 0<br />

3<br />

− 1 3<br />

0 − 1 5<br />

3<br />

1 0 ⎠<br />

3<br />

− 2 3<br />

26<br />

1<br />

3<br />

0 0<br />

3<br />

8<br />

5<br />

26<br />

3<br />

0<br />

3<br />

0 1<br />

3<br />

which has only one negative entry on the bottom left. The pivot for this first column is the<br />

7<br />

3<br />

. The next tableau is<br />

⎛<br />

20<br />

2 5<br />

0<br />

7<br />

0 1<br />

7 7<br />

0 − 2 7<br />

− 1 ⎞<br />

3<br />

7<br />

0<br />

7<br />

11<br />

0<br />

7<br />

0 0 − 1 1<br />

7 7<br />

1 − 6 7<br />

− 3 2<br />

7<br />

0 7<br />

⎜ 0 − 1 2<br />

7<br />

1 0<br />

7<br />

− 2 5<br />

7<br />

0<br />

7<br />

− 1 3<br />

7<br />

0 7 ⎟<br />

⎝ 1 − 4 1<br />

7<br />

0 0<br />

7<br />

− 1 7<br />

0 − 1 3 5<br />

7 7<br />

0 ⎠<br />

7<br />

58<br />

3 18 11 2 64<br />

0<br />

7<br />

0 0<br />

7 7<br />

0<br />

7 7<br />

1<br />

7<br />

and all the entries in the left bottom row are nonnegative so the answer is 64/7. This is<br />

the same as obtained before. So what values for x are needed? Here the basic variables are<br />

y 1 ,y 3 ,y 4 ,y 7 . Consider the original augmented matrix, one step before the simplex tableau.<br />

⎛<br />

⎜<br />

⎝<br />

1 5 1 2 1 1 0 0 0 0 2<br />

2 3 2 1 1 0 1 0 0 0 3<br />

1 2 2 1 1 0 0 1 0 0 2<br />

3 1 1 1 1 0 0 0 1 0 3<br />

−5 −8 −6 −7 −4 0 0 0 0 1 0<br />

Permute the columns to put the columns associated with these basic variables first. Thus<br />

⎛<br />

⎞<br />

1 1 2 0 5 1 1 0 0 0 2<br />

2 2 1 1 3 1 0 0 0 0 3<br />

⎜ 1 2 1 0 2 1 0 1 0 0 2<br />

⎟<br />

⎝ 3 1 1 0 1 1 0 0 1 0 3 ⎠<br />

−5 −6 −7 0 −8 −4 0 0 0 1 0<br />

⎞<br />

⎟<br />

⎠ .<br />

The matrix B is<br />

and so B −T equals<br />

⎛<br />

⎜<br />

⎝<br />

1 1 2 0<br />

2 2 1 1<br />

1 2 1 0<br />

3 1 1 0<br />

⎞<br />

⎟<br />

⎠<br />

⎛<br />

− 1 7<br />

− 2 5 1<br />

7 7 7<br />

⎜ 0 0 0 1<br />

⎝ − 1 5<br />

7 7<br />

− 2 7<br />

− 6 7<br />

3<br />

7<br />

− 1 7<br />

− 1 7<br />

− 3 7<br />

Also b T B = ( 5 6 7 0 ) and so from Corollary 6.5.3,<br />

⎛<br />

− 1 7<br />

− 2 5 1<br />

7 7 7<br />

x = ⎜ 0 0 0 1<br />

⎝ − 1 5<br />

7 7<br />

− 2 7<br />

− 6 7<br />

3<br />

7<br />

− 1 7<br />

− 1 7<br />

− 3 7<br />

⎞ ⎛<br />

⎟ ⎜<br />

⎠ ⎝<br />

5<br />

6<br />

7<br />

0<br />

⎞<br />

⎟<br />

⎠<br />

⎞ ⎛<br />

⎟<br />

⎠ = ⎜<br />

⎝<br />

18<br />

7<br />

0<br />

11<br />

7<br />

2<br />

7<br />

⎞<br />

⎟<br />

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

Saved successfully!

Ooh no, something went wrong!