2x2 matrix inverse calculator provided at the end of this web page will give you the inverse of any matrix that you enter. It does not give just only the inverse of a matrix and also it gives the determinant and adjoint of the matrix that you enter.As soon as you enter your matrix in the boxes provided and click the button "calculate", it will give inverse of the matrix. If the determinant value of your matrix is zero, the inverse will not exist.
1. Find the determinant value of the given 2X2 Matrix
2. Find minor
3. Find Cofactor
4. Find Adjoint
5. Plug the results in the formula given below.
Apart from the regular calculator, people who study math are in need of 2x2 matrix inverse calculator. Because, when people work out lengthy problems, they may not have time to solve and find the inverse of a matrix. At that time, calculating inverse of a matrix would be an additional burden for them in solving lengthy math problems. To reduce the burden of those people, we have provided online matrix inverse calculator here.
When people do preparation of solving word problems on matrix,
they may have to spend time to get idea on "How to solve". In this
situation, they would not like to spend time to find inverse of a matrix. And also they would not be able to use the
calculators to inverse of a matrix. By using this
online matrix inverse calculator, students
will find much time to get idea of solving the word problems.
School students have the topic "Inverse of a matrix " in their 11th and 12th grades. They are given a matrix for which they have to find the inverse. They find the inverse of the matrix as directed in the question.But they are not sure whether the answer they got is correct or incorrect. At that time, they can check the answer they have received is correct or incorrect using this calculator. .
Apart from the advantages explained above, this calculator can also be used to learn how to find inverse of a matrix.Along with inverse, this online calculator will also give you the determinant and adjoint of the given matrix.