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2x2 Matrix Calculator

2x2 Matrix Operations:

\[ A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} \]


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1. What is a 2x2 Matrix?

A 2x2 matrix is a rectangular array of numbers arranged in 2 rows and 2 columns. It is represented as: \[ A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} \] Matrices are fundamental mathematical objects used in various fields including linear algebra, physics, and computer graphics.

2. Matrix Operations

This calculator performs several operations on 2x2 matrices:

Determinant: \[ \det(A) = ad - bc \]

Inverse: (if determinant ≠ 0) \[ A^{-1} = \frac{1}{ad - bc} \begin{bmatrix} d & -b \\ -c & a \end{bmatrix} \]

Trace: \[ \operatorname{tr}(A) = a + d \]

Eigenvalues: \[ \lambda = \frac{(a + d) \pm \sqrt{(a + d)^2 - 4(ad - bc)}}{2} \]

3. Applications of 2x2 Matrices

Details: 2x2 matrices are used in linear transformations, solving systems of linear equations, computer graphics transformations, quantum mechanics, and many other mathematical and scientific applications.

4. Using the Calculator

Tips: Enter the four elements of your 2x2 matrix in the corresponding input fields. The calculator will compute the determinant, trace, inverse (if it exists), and eigenvalues of the matrix.

5. Frequently Asked Questions (FAQ)

Q1: When is a 2x2 matrix invertible?
A: A 2x2 matrix is invertible if and only if its determinant is not equal to zero.

Q2: What does the determinant represent?
A: The determinant represents the scaling factor of the linear transformation described by the matrix. A determinant of zero indicates the transformation collapses space.

Q3: What are eigenvalues used for?
A: Eigenvalues represent the factors by which eigenvectors are scaled during the transformation. They are crucial in stability analysis and diagonalization.

Q4: Can all 2x2 matrices have real eigenvalues?
A: No, some 2x2 matrices have complex eigenvalues when the discriminant is negative.

Q5: What is the significance of the trace?
A: The trace is the sum of eigenvalues and remains unchanged under similarity transformations.

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