The next step in Gauss-Jordan row reduction is to select the first nonzero entry in the first row as the pivot. In this case, the first nonzero entry in the first row is the entry in the first column, so we select that entry as the pivot. -1 1 1 45 2 11 0 1 01 0 The next step is to use the pivot to clear the column using Type 2 row operations. A Type 2 row operation occurs when a row is replaced by a multiple of itself and the sum or difference of a multiple of another row. Clearing the column means changing all nonzero entries (other than the pivot) to zeros. Formulate the row operation that will change the first entry in the second row to zero. First, we will multiply each entry by the absolute value of the entry in the other row. The first entry in R, is , which has absolute value 1. The first entry in R, is| , which has absolute value 2. In general, the row operation used should always have the form aR ± bR_ where R_ is the row to change, R, is the pivot row, and a and b are both positive. Therefore, the row operation will of one of the following forms. + 2R, R, - 2R, Next, we will choose whether to add or subtract the rows. The pivot and the first entry in R, have --Select-- V, so the following row operation will change the first entry in R, to zero. | 2R Applying this row operation results in the following matrix.
The next step in Gauss-Jordan row reduction is to select the first nonzero entry in the first row as the pivot. In this case, the first nonzero entry in the first row is the entry in the first column, so we select that entry as the pivot. -1 1 1 45 2 11 0 1 01 0 The next step is to use the pivot to clear the column using Type 2 row operations. A Type 2 row operation occurs when a row is replaced by a multiple of itself and the sum or difference of a multiple of another row. Clearing the column means changing all nonzero entries (other than the pivot) to zeros. Formulate the row operation that will change the first entry in the second row to zero. First, we will multiply each entry by the absolute value of the entry in the other row. The first entry in R, is , which has absolute value 1. The first entry in R, is| , which has absolute value 2. In general, the row operation used should always have the form aR ± bR_ where R_ is the row to change, R, is the pivot row, and a and b are both positive. Therefore, the row operation will of one of the following forms. + 2R, R, - 2R, Next, we will choose whether to add or subtract the rows. The pivot and the first entry in R, have --Select-- V, so the following row operation will change the first entry in R, to zero. | 2R Applying this row operation results in the following matrix.
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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![The next step in Gauss-Jordan row reduction is to select the first nonzero entry in the first row as the pivot. In
this case, the first nonzero entry in the first row is the entry in the first column, so we select that entry as the
pivot.
-1 1 1 45
2 11 0
1 01 0
The next step is to use the pivot to clear the column using Type 2 row operations. A Type 2 row operation
occurs when a row is replaced by a multiple of itself and the sum or difference of a multiple of another row.
Clearing the column means changing all nonzero entries (other than the pivot) to zeros.
Formulate the row operation that will change the first entry in the second row to zero.
First, we will multiply each entry by the absolute value of the entry in the other row. The first entry in R, is
, which has absolute value 1. The first entry in R, is
, which has absolute value
2. In general, the row operation used should always have the form aR ± bR_ where R_ is the row to change,
R, is the pivot row, and a and b are both positive.
Therefore, the row operation will be of one of the following forms.
R, + 2R,
R. - 2R,
Next, we will choose whether to add or subtract the rows. The pivot and the first entry in R, have
v, so the following row operation will change the first entry in R, to zero.
| 2R,
--Select-
Applying this row operation results in the following matrix.
-1
1 1
45
3 3
0 1
1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7985850d-eb5c-4b6d-99f3-f880ba4f2b57%2Fe0da9759-3c4a-41f7-b94f-8fb5bc638ebd%2Fs31g7pe_processed.png&w=3840&q=75)
Transcribed Image Text:The next step in Gauss-Jordan row reduction is to select the first nonzero entry in the first row as the pivot. In
this case, the first nonzero entry in the first row is the entry in the first column, so we select that entry as the
pivot.
-1 1 1 45
2 11 0
1 01 0
The next step is to use the pivot to clear the column using Type 2 row operations. A Type 2 row operation
occurs when a row is replaced by a multiple of itself and the sum or difference of a multiple of another row.
Clearing the column means changing all nonzero entries (other than the pivot) to zeros.
Formulate the row operation that will change the first entry in the second row to zero.
First, we will multiply each entry by the absolute value of the entry in the other row. The first entry in R, is
, which has absolute value 1. The first entry in R, is
, which has absolute value
2. In general, the row operation used should always have the form aR ± bR_ where R_ is the row to change,
R, is the pivot row, and a and b are both positive.
Therefore, the row operation will be of one of the following forms.
R, + 2R,
R. - 2R,
Next, we will choose whether to add or subtract the rows. The pivot and the first entry in R, have
v, so the following row operation will change the first entry in R, to zero.
| 2R,
--Select-
Applying this row operation results in the following matrix.
-1
1 1
45
3 3
0 1
1
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