Problem 11
Question
In Exercises 5-20, find the determinant of the matrix. \(\left[ \begin{array}{r} -7 && 0 \\ 3 && 0 \end{array} \right]\)
Step-by-Step Solution
Verified Answer
The determinant of the matrix is \(0\).
1Step 1 - Identify the elements of the matrix
For the matrix \(\left[ \begin{array}{r} -7 && 0 \ 3 && 0 \end{array} \right]\), the values of a, b, c, and d are -7, 0, 3, and 0 respectively.
2Step 2 - Apply the determinant formula
Plug the identified values into the determinant formula \(ad - bc\). Thus, \((-7)*(0) - (0)*(3)\).
3Step 3 - Simplify the expression
After substitution, the formula simplifies to: 0. Because \((-7)*(0)\) equals 0 and \((0)*(3)\) equals 0. The final answer is 0.
Key Concepts
2x2 matrixmatrix operationslinear algebra
2x2 matrix
A 2x2 matrix is a simple type of matrix in linear algebra, with two rows and two columns. This basic structure is important, as it is one of the foundational building blocks for understanding more complex matrices. To illustrate, a general 2x2 matrix looks like this:\[\begin{bmatrix}a & b \c & d \\end{bmatrix}\]In this format, "a," "b," "c," and "d" are elements that can be any real number. Each position in the matrix corresponds to a specific row and column.2x2 matrices are significant because they represent a simple system of linear equations or transformations in two-dimensional space. In practical terms, you can visualize it as the transformation of a point or a shape within a plane. Understanding 2x2 matrices is a stepping stone to mastering matrix operations and other linear algebra concepts.
matrix operations
Matrix operations are essential in solving problems related to matrices, and understanding these can unlock your ability to handle more complex linear algebra challenges. Involving simple additions and multiplications, operations can drastically change the outcome in various fields such as physics, engineering, and computer science.Here are some common matrix operations:
Mastering these operations sets the groundwork for more advanced topics such as eigenvalues and eigenvectors.
- **Addition and Subtraction**: You can only add or subtract matrices if they have the same dimensions. The operation is done element-wise.
- **Multiplication**: Involves multiplying two matrices, but note that the number of columns in the first must equal the number of rows in the second.
- **Determinants**: For a 2x2 matrix, determinants are calculated using the formula: \(ad - bc\), where \(a, b, c, d\) are elements of the matrix.
Mastering these operations sets the groundwork for more advanced topics such as eigenvalues and eigenvectors.
linear algebra
Linear algebra is a branch of mathematics that deals with vectors, vector spaces, and operations on matrices. It provides essential tools for modeling and solving systems of linear equations. If you've ever wondered why your smartphone's graphics look so captivating, linear algebra is partly to thank for those visual transformations.
In many scientific disciplines, linear algebra is used to express linear relationships and transformations. Practical applications include:
When solving problems in linear algebra, understanding how to calculate the determinant of a matrix is fundamental. The determinant provides vital information about the matrix, such as whether it's invertible. A determinant of zero, like in our exercise, indicates that the matrix is singular and non-invertible, meaning it cannot be used to span the entire space. By building your knowledge of linear algebra, you pave your way to efficiently manage multidimensional data and solve complex problems using mathematical elegance and precision.
- Analyzing data and making predictions with linear regression.
- Simulating physical systems in engineering and physics.
- Encoding and processing images in computer graphics.
When solving problems in linear algebra, understanding how to calculate the determinant of a matrix is fundamental. The determinant provides vital information about the matrix, such as whether it's invertible. A determinant of zero, like in our exercise, indicates that the matrix is singular and non-invertible, meaning it cannot be used to span the entire space. By building your knowledge of linear algebra, you pave your way to efficiently manage multidimensional data and solve complex problems using mathematical elegance and precision.
Other exercises in this chapter
Problem 10
In Exercises 9-14, determine the order of the matrix. \( \left[\begin{array}{rrrr} 5 & & -3 & & 8 & & 7 \end{array}\right] \)
View solution Problem 11
In Exercises 7-16, use Cramer's Rule to solve (if possible) the system of equations. \(\begin{cases} -0.4x + 0.8y = 1.6 \\ 0.2x + 0.3y = 2.2 \end{cases}\)
View solution Problem 11
In Exercises \(5-12,\) show that \(B\) is the inverse of \(A .\) $$A=\left[\begin{array}{rrr}{-2} & {2} & {3} \\ {1} & {-1} & {0} \\ {0} & {1} & {4}\end{array}\
View solution Problem 11
In Exercises 11-18, if possible, find (a) \(A+B\), (b) \(A-B\), (c ) \(3A\), and (d) \(3A-2B\). \(A = \left[ \begin{array}{r} 1 & -1 \\ 2 & -1 \end{array} \righ
View solution