Augmented Matrices - Pre-Calculus

The system of equations in matrix form is written:

Arrange the equations into the form:

, where a,b,c,d are constants.

Then we have the system of equations: .

The augmented matrix is found by copying the constants into the respective rows and columns of a matrix.

The vertical line in the matrix is analogous to the = sign thus resulting in the following:

Create an augmented matrix by entering the coefficients into one matrix and appending a vector to that matrix with the constants that the equations are equal to. Then you can row reduce to solve the system.

First, lets make this augmented matrix:

Now we can row reduce the matrix using the three row reduction operations: mutliply a row, add one row to another, swap row positions.

First, we can subtract .

Swap

Subtract

Add

Subtract

Mulitply

You can stop here given that this augmented matrix can be rewritten as a system again with

, or you can continue using the matrix, subtracting multiples of from the other two rows to get an identity matrix yielding the solution to the system.

For two matrices to be equal, two conditions must hold:

1. The matrices must have the same dimension. This can be seen to be the case, since both matrices have two rows and one column.

2. All corresponding entries must be equal. For this to happen, it must hold that

This is a system of two equations in two variables, which can be solved as follows:

Add both sides of the equations:

It follows that

Substitute back:

Thus, there exists a solution to the system, and, consequently, to the original matrix equation. The statement is therefore false.

First, it must be established that is defined. This is the case if and only and have the same number of rows, which is true, and they have the same number of columns, which is also true. is therefore defined.

Addition of two matrices is performed by adding corresponding elements, so

This is the two-by-two identity . Therefore, .

The system of equations in matrix form is written:

Beginning with the top equation, insert each coefficient into the top row of the matrix, from left to right. Then, place the 2 on the right hand side of the vertical line (anytime you see this vertical line in a matrix, it is called an augmented matrix. Because the first equation's coefficients are 1, 1, and 1, these form the top row of the matrix, with 2 on the right side of the bar. Then, move on to the second row, which has coefficients 2, -1, and 3. Place these into the second row of the matrix, with -7 on the right hand side of the vertical bar. Finally, take the coefficients from the 3rd equation, 1, 1, and -1, and place these in the bottom row with 6 on the right hand side of the vertical bar.

Traditionally in Row Reduced Echelon Form (first row's values are 1,0,0; second row's values are 0,1,0; third row's values are 0,0,1), x is depicted in the first row, in the second row, and in the third. Therefore the correct answer is .

The system of equations in matrix form is written:

Arrange the equations into the form:

, where a,b,c,d are constants.

Then we have the system of equations: .

The augmented matrix is found by copying the constants into the respective rows and columns of a matrix.

The vertical line in the matrix is analogous to the = sign thus resulting in the following:

Create an augmented matrix by entering the coefficients into one matrix and appending a vector to that matrix with the constants that the equations are equal to. Then you can row reduce to solve the system.

First, lets make this augmented matrix:

Now we can row reduce the matrix using the three row reduction operations: mutliply a row, add one row to another, swap row positions.

First, we can subtract .

Swap

Subtract

Add

Subtract

Mulitply

You can stop here given that this augmented matrix can be rewritten as a system again with

, or you can continue using the matrix, subtracting multiples of from the other two rows to get an identity matrix yielding the solution to the system.

For two matrices to be equal, two conditions must hold:

1. The matrices must have the same dimension. This can be seen to be the case, since both matrices have two rows and one column.

2. All corresponding entries must be equal. For this to happen, it must hold that

This is a system of two equations in two variables, which can be solved as follows:

Add both sides of the equations:

It follows that

Substitute back:

Thus, there exists a solution to the system, and, consequently, to the original matrix equation. The statement is therefore false.

First, it must be established that is defined. This is the case if and only and have the same number of rows, which is true, and they have the same number of columns, which is also true. is therefore defined.

Addition of two matrices is performed by adding corresponding elements, so

This is the two-by-two identity . Therefore, .

The system of equations in matrix form is written:

Beginning with the top equation, insert each coefficient into the top row of the matrix, from left to right. Then, place the 2 on the right hand side of the vertical line (anytime you see this vertical line in a matrix, it is called an augmented matrix. Because the first equation's coefficients are 1, 1, and 1, these form the top row of the matrix, with 2 on the right side of the bar. Then, move on to the second row, which has coefficients 2, -1, and 3. Place these into the second row of the matrix, with -7 on the right hand side of the vertical bar. Finally, take the coefficients from the 3rd equation, 1, 1, and -1, and place these in the bottom row with 6 on the right hand side of the vertical bar.

Traditionally in Row Reduced Echelon Form (first row's values are 1,0,0; second row's values are 0,1,0; third row's values are 0,0,1), x is depicted in the first row, in the second row, and in the third. Therefore the correct answer is .

Arrange the equations into the form:

, where a,b,c,d are constants.

Then we have the system of equations: .

The augmented matrix is found by copying the constants into the respective rows and columns of a matrix.

The vertical line in the matrix is analogous to the = sign thus resulting in the following:

Create an augmented matrix by entering the coefficients into one matrix and appending a vector to that matrix with the constants that the equations are equal to. Then you can row reduce to solve the system.

First, lets make this augmented matrix:

Now we can row reduce the matrix using the three row reduction operations: mutliply a row, add one row to another, swap row positions.

First, we can subtract .

Swap

Subtract

Add

Subtract

Mulitply

You can stop here given that this augmented matrix can be rewritten as a system again with

, or you can continue using the matrix, subtracting multiples of from the other two rows to get an identity matrix yielding the solution to the system.

For two matrices to be equal, two conditions must hold:

1. The matrices must have the same dimension. This can be seen to be the case, since both matrices have two rows and one column.

2. All corresponding entries must be equal. For this to happen, it must hold that

This is a system of two equations in two variables, which can be solved as follows:

Add both sides of the equations:

It follows that

Substitute back:

Thus, there exists a solution to the system, and, consequently, to the original matrix equation. The statement is therefore false.

First, it must be established that is defined. This is the case if and only and have the same number of rows, which is true, and they have the same number of columns, which is also true. is therefore defined.

Addition of two matrices is performed by adding corresponding elements, so

This is the two-by-two identity . Therefore, .

The system of equations in matrix form is written:

Beginning with the top equation, insert each coefficient into the top row of the matrix, from left to right. Then, place the 2 on the right hand side of the vertical line (anytime you see this vertical line in a matrix, it is called an augmented matrix. Because the first equation's coefficients are 1, 1, and 1, these form the top row of the matrix, with 2 on the right side of the bar. Then, move on to the second row, which has coefficients 2, -1, and 3. Place these into the second row of the matrix, with -7 on the right hand side of the vertical bar. Finally, take the coefficients from the 3rd equation, 1, 1, and -1, and place these in the bottom row with 6 on the right hand side of the vertical bar.

Traditionally in Row Reduced Echelon Form (first row's values are 1,0,0; second row's values are 0,1,0; third row's values are 0,0,1), x is depicted in the first row, in the second row, and in the third. Therefore the correct answer is .