Linear Equations - Linear Algebra
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True or false:
is an example of a matrix in row-echelon form.
True or false: is an example of a matrix in row-echelon form.
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A matrix is in row-echelon form if and only if it fits three conditions:
-
Any rows comprising only zeroes are at the bottom.
-
Any leading nonzero entries are 1's..
-
Each leading 1 is to the right of the one immediately above.
All four rows have leading nonzero entries, but none of them are 1's. The matrix violates the conditions of a matrix in row-echelon form.
A matrix is in row-echelon form if and only if it fits three conditions:
-
Any rows comprising only zeroes are at the bottom.
-
Any leading nonzero entries are 1's..
-
Each leading 1 is to the right of the one immediately above.
All four rows have leading nonzero entries, but none of them are 1's. The matrix violates the conditions of a matrix in row-echelon form.
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Find the inverse using row operations

Find the inverse using row operations
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To find the inverse, use row operations:
add the third row to the second
subtract the second row from the top
subtract the first row from the second
subtract two times the first row from the bottom row
subtract three times the bottom row from the second row
subtract 2 times the middle row from the bottom row
add the bottom row to the top

The inverse is 
To find the inverse, use row operations:
add the third row to the second
subtract the second row from the top
subtract the first row from the second
subtract two times the first row from the bottom row
subtract three times the bottom row from the second row
subtract 2 times the middle row from the bottom row
add the bottom row to the top
The inverse is
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Find the inverse using row operations: 
Find the inverse using row operations:
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subtract two times the second row from the last row
subtract the second row from the first
subtract two times the first row from the second
add the third row to the second
subtract 7 times the second row from the third row, then multiply by -1
add the bottom row to the middle row
add the last row to the top row
subtract two times the second row from the top row

The inverse is

subtract two times the second row from the last row
subtract the second row from the first
subtract two times the first row from the second
add the third row to the second
subtract 7 times the second row from the third row, then multiply by -1
add the bottom row to the middle row
add the last row to the top row
subtract two times the second row from the top row
The inverse is
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Change the following matrix into reduced row echelon form.

Change the following matrix into reduced row echelon form.
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In order to get the matrix into reduced row echelon form,
Multiply the first row by 

Add
times row one to row 2

Multiply the second row by 

Add -
times row two to row one

In order to get the matrix into reduced row echelon form,
Multiply the first row by
Add times row one to row 2
Multiply the second row by
Add - times row two to row one
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Change the following matrix into reduced row echelon form.

Change the following matrix into reduced row echelon form.
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Multiply row one by 

Add
times row one to row two

Multiply row two by 

Add
times row two to row one.

Multiply row one by
Add times row one to row two
Multiply row two by
Add times row two to row one.
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Is the following matrix in reduced row echelon form? Why or why not.

Is the following matrix in reduced row echelon form? Why or why not.
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A matrix is in reduced row echelon form if
- all nonzero rows are above any all zero rows
- the left most nonzero entry in each row (the leading entry) is
.
- the leading entry is in a column to the right of the leading entry in the column above it
- all entries in a column below the leading entry are zero
This matrix meets all four of these criteria.
A matrix is in reduced row echelon form if
- all nonzero rows are above any all zero rows
- the left most nonzero entry in each row (the leading entry) is
.
- the leading entry is in a column to the right of the leading entry in the column above it
- all entries in a column below the leading entry are zero
This matrix meets all four of these criteria.
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Solve the following system by reducing its corresponding matrix.


Solve the following system by reducing its corresponding matrix.
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The corresponding matrix is

We add
times row one to row two.

This yields the solution

or
and
is a free variable.
The corresponding matrix is
We add times row one to row two.
This yields the solution
or
and
is a free variable.
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