Evaluate each determinant. ∣−7030∣\left| \begin{matrix} -7 & 0 \\ 3 & 0 \end{matrix} \right|

Ch. 5 - Systems and Matrices

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Lial 13th Edition

Ch. 5 - Systems and Matrices

문제 15

6장, 문제 15

Evaluate each determinant.
$∣ \begin{matrix} - 7 & 0 \\ 3 & 0 \end{matrix} ∣$

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Identify the size of the matrix for which you need to evaluate the determinant. Common sizes are 2x2 or 3x3 matrices.

For a 2x2 matrix $\begin{bmatrix} a & b \\ c & d \end{bmatrix}$, use the formula for the determinant: $\det = ad - bc$.

For a 3x3 matrix $\begin{bmatrix} a & b & c \\ d & e & f \\ g & h & i \end{bmatrix}$, apply the rule of Sarrus or cofactor expansion to find the determinant.

If using cofactor expansion for a 3x3 matrix, select a row or column, then calculate the sum of each element multiplied by its cofactor: $\det = a(ei - fh) - b(di - fg) + c(dh - eg)$.

Simplify the expression by performing the multiplications and subtractions to find the determinant value.

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주요 개념

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Determinant of a Matrix

The determinant is a scalar value computed from a square matrix that provides important properties about the matrix, such as invertibility. For a 2x2 matrix, it is calculated as ad - bc, where a, b, c, and d are the elements of the matrix. Determinants help in solving systems of linear equations and understanding matrix behavior.

Properties of Determinants

Determinants have specific properties, such as changing sign when two rows are swapped, being zero if rows are linearly dependent, and the determinant of a product equals the product of determinants. These properties simplify calculations and help verify results when evaluating determinants.

Methods for Evaluating Determinants

Determinants can be evaluated using various methods depending on matrix size, including expansion by minors and cofactors for larger matrices, and direct formulas for 2x2 or 3x3 matrices. Understanding these methods allows efficient and accurate computation of determinants.

Evaluate each determinant. ∣−7030∣\(\left\)| \(\begin{matrix}\) -7 & 0 \\ 3 & 0 \(\end{matrix}\) \(\right\)|