Determinant Formula:
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The determinant is a scalar value that can be computed from the elements of a square matrix. It encodes certain properties of the linear transformation described by the matrix and is used in various areas of mathematics including linear algebra, calculus, and more.
The calculator uses the Leibniz formula for determinants:
Where:
Explanation: The determinant is computed as the sum of all signed products of matrix elements where each product contains exactly one element from each row and column.
Details: Determinants are crucial for solving systems of linear equations, finding matrix inverses, calculating eigenvalues, and determining whether a matrix is invertible. They also have geometric interpretations as scaling factors of linear transformations.
Tips: Enter your square matrix using comma-separated values for columns and semicolon-separated values for rows. For example: "1,2,3;4,5,6;7,8,9" for a 3x3 matrix.
Q1: What is the determinant of a 1x1 matrix?
A: The determinant of a 1x1 matrix [a] is simply the value a itself.
Q2: What does a zero determinant indicate?
A: A zero determinant indicates that the matrix is singular (not invertible) and the corresponding linear transformation is not bijective.
Q3: Can I calculate determinants for non-square matrices?
A: No, determinants are only defined for square matrices (matrices with equal number of rows and columns).
Q4: What is the time complexity of determinant calculation?
A: The Leibniz formula has O(n!) complexity, but practical implementations often use more efficient methods like LU decomposition with O(n³) complexity.
Q5: What are some practical applications of determinants?
A: Determinants are used in solving linear systems, computing volumes, finding eigenvalues, checking linear independence, and in various physics and engineering applications.