Exercises: Gaussian elimination
- 1
Solve the following systems of equations using the Gaussian elimination method.
For this task you need the following basic knowledge: Gaussian elimination
First, you construct the extended coefficient matrix.
Then divide the first line by 3, the second by 4, and the third by 6.
Now subtract the first from the second line and from the third.
According to the criterion for solvability of linear systems, it already follows that the system of equations has no solution, because:
For this task you need the following basic knowledge: Gaussian elimination
First, you construct the extended coefficient matrix.
Then divide the second line by 2 and the third by 4.
Now subtract the first from the second line and from the third.
Then divide the second line by and the third by .
Now subtract the second line from the third.
According to the criterion for solvability of linear systems, it already follows that the system of equations has no solution, because:
For this task you need the following basic knowledge: Gaussian elimination
First, you construct the extended coefficient matrix.
Then divide the second line by -2 and the third by -1.
Now subtract the first from the second line and from the third.
According to the criterion for Solvability of linear systems, it already follows that the system of equations is not uniquely solvable, because:
Nevertheless, you can write down a solution set:
Remark: The (infinitely many) solutions are on a straight line with the equation .
For this task you need the following basic knowledge: Gaussian elimination
First, you construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
Plug this z-value into the second line.
↓ Multiply out.
↓ Insert the found y- and z-value into the first line.
↓ Multiply out.
For this task you need the following basic knowledge: Gaussian elimination
First, you construct the extended coefficient matrix.
Then divide the first line by , the second by and the third by .
Now subtract the first line from the second and third lines.
Sicne and we have two variables, the system of equations is uniquely solvable according to the rank criterion for the solvability of linear systems.
Now divide the third line by .
Then subtract from the first times the third line.
Now you can read the solution in the right column:
Sort the variables.
Construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
Plug this z into the second line.
Plug the known y- and z-value into the first line.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
↓ Plug into the second line.
↓ Plug into the first line.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
↓ Plug into the second line.
↓ Multiply out.
↓ Plug into the first line
↓ Multiply.
↓ Subtract.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
↓ Plug into the second line.
↓ Multiply out.
↓ Plug into the first line.
↓ Multiply out.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
↓ Plug into the second line.
↓ Plug into the second line.
↓ Conclude.
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
↓ Plug into the second line.
↓ Multiply out.
↓ Plug into the first line.
↓ Multiply out.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies
So there is no solution!
- 2
Solve the system of equations using the Gaussian elimination method, and give the solution in general form. (Use parameters in the solution if necessary).
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line is a true statement. So you can choose , as you like. For instance, , with being arbitrary.
Plug into the second line.
Plug and into the first line.
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The two lower lines are true statements. So you can freely choose two of the three variables, indicated by parameters in the solution.
Set for example
And plug both into the first line.
Solve for .
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third line implies:
This has no solution.
For this task you need the following basic knowledge: Gaussian elimination
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The third (or fourth) line implies:
Plug this result into the second line.
↓ Multiply out.
Plug and into the first line and solve for .
First, construct the extended coefficient matrix and transform it according to the Gaussian method.
The second line implies:
Parametrize .
Plug and into the first line.
↓ Extend the fraction.
↓ Conclude.
- 3
Solve the systems of equations using the Gauss-Jordan method.
First, write down the extended coefficient matrix.
Then divide the first line by 3, the second by 2.
Now subtract the first line from the second line.
Then divide the second line by .
Then subtract from the first line times the second line.
Now you can read the solution in the right column:
First, write down the extended coefficient matrix.
Then divide the first line by 3 and the second by 2.
Now subtract the first line from the second line.
Then divide the second line by .
Then subtract from the first line times the second line.
Now you can read the solution in the right column:
First, write down the extended coefficient matrix.
The third line implies:
Plug this into the second line.
Plug and into the first line.