Matrices - Determinant Of Matrices

Determinant of a Matrix

Definition, Properties, and Applications

The determinant is a scalar value that can be computed from a square matrix. It provides important information about the matrix, such as whether it is invertible and its effect on volume when used in transformations.

Key Determinant Formulas

\[ |A| = \begin{vmatrix} a & b \\ c & d \end{vmatrix} = (ad - bc) \]

This is the determinant of a 2×2 matrix. Multiply diagonally and subtract: \( a \cdot d - b \cdot c \).

\[ |A| = \begin{vmatrix} a & b & c \\ d & e & f \\ g & h & i \end{vmatrix} = a \cdot \begin{vmatrix} e & f \\ h & i \end{vmatrix} - b \cdot \begin{vmatrix} d & f \\ g & i \end{vmatrix} + c \cdot \begin{vmatrix} d & e \\ g & h \end{vmatrix} \]

This is the determinant of a 3×3 matrix using cofactor expansion along the first row.

\[ = a(ei - fh) - b(di - fg) + c(dh - eg) \]

Each 2×2 sub-determinant is expanded here using the formula for a 2×2 determinant.

\[ = aei + bfg + c \cdot dh - ceg - b \cdot di - afh \]

Final expanded form combining all terms.

Terminology

  • Determinant: A single number that summarizes certain properties of a square matrix.
  • Cofactor Expansion: A method to find the determinant by expanding along a row or column.
  • Singular Matrix: A matrix with a determinant of 0 (non-invertible).
  • Non-Singular Matrix: A matrix with a non-zero determinant (invertible).

Applications

  • Used to determine if a matrix has an inverse.
  • Essential in solving systems of linear equations (e.g., Cramer's Rule).
  • Helps compute area, volume, and orientation in geometry and vector calculus.
  • Important in computer graphics, especially for scaling and rotation transformations.
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