Cofactor Formula:
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A cofactor \( C_{ij} \) of a matrix element \( a_{ij} \) is calculated by multiplying \( (-1)^{i+j} \) by the determinant of the submatrix formed by deleting the i-th row and j-th column. Cofactors are essential in matrix operations like finding the adjugate and inverse of a matrix.
The calculator uses the cofactor formula:
Where:
Explanation: The sign factor \( (-1)^{i+j} \) creates a checkerboard pattern of signs, while the determinant of the minor matrix captures the structural importance of the element.
Details: Cofactors are fundamental in calculating matrix inverses, adjugates, and in Cramer's Rule for solving systems of linear equations. They also appear in the Laplace expansion for determinants.
Tips: Enter your matrix with rows separated by semicolons and columns separated by commas (e.g., "1,2,3;4,5,6;7,8,9"). Specify the 1-based row and column indices of the element whose cofactor you want to calculate.
Q1: What's the difference between a minor and a cofactor?
A: The minor is just the determinant of the submatrix, while the cofactor includes the \( (-1)^{i+j} \) sign factor.
Q2: Can I calculate cofactors for non-square matrices?
A: No, cofactors are only defined for square matrices.
Q3: How are cofactors used in matrix inversion?
A: The matrix of cofactors (transposed) divided by the determinant gives the inverse matrix.
Q4: What's the time complexity for calculating cofactors?
A: For an n×n matrix, it's O(n³) using standard determinant calculation methods.
Q5: Are there any special cases?
A: For 1×1 matrices, the cofactor is always 1. For diagonal matrices, cofactors of diagonal elements are particularly simple.