In Exercises 19-24, explore the effect of an elementary row operation on the determinant of a matrix. In each case, state the row operation and describe how it affects the determinant.

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The image contains a mathematical exercise labeled as number 24, which presents two 3x3 matrices. The matrices are defined as follows:

First Matrix:
\[ \begin{bmatrix} 
1 & 0 & 1 \\ 
-3 & 4 & -4 \\ 
2 & -3 & 1 
\end{bmatrix} \]

Second Matrix:
\[ \begin{bmatrix} 
k & 0 & k \\ 
-3 & 4 & -4 \\ 
2 & -3 & 1 
\end{bmatrix} \]

In this context, 'k' represents a variable in the second matrix, making it a parameterized matrix. The task likely involves matrix operations, comparisons, or finding the value of 'k' that satisfies specific conditions for the given matrices.

Such matrices often appear in problems related to linear algebra, where they are used to explore concepts like matrix addition, multiplication, determinants, eigenvalues, and solutions to systems of linear equations. Understanding matrices is fundamental in various fields such as mathematics, physics, engineering, and computer science.
Transcribed Image Text:The image contains a mathematical exercise labeled as number 24, which presents two 3x3 matrices. The matrices are defined as follows: First Matrix: \[ \begin{bmatrix} 1 & 0 & 1 \\ -3 & 4 & -4 \\ 2 & -3 & 1 \end{bmatrix} \] Second Matrix: \[ \begin{bmatrix} k & 0 & k \\ -3 & 4 & -4 \\ 2 & -3 & 1 \end{bmatrix} \] In this context, 'k' represents a variable in the second matrix, making it a parameterized matrix. The task likely involves matrix operations, comparisons, or finding the value of 'k' that satisfies specific conditions for the given matrices. Such matrices often appear in problems related to linear algebra, where they are used to explore concepts like matrix addition, multiplication, determinants, eigenvalues, and solutions to systems of linear equations. Understanding matrices is fundamental in various fields such as mathematics, physics, engineering, and computer science.
**Topic: Determinants and Elementary Row Operations**

In Exercises 19-24, explore the effect of an elementary row operation on the determinant of a matrix. In each case, state the row operation and describe how it affects the determinant.

**Explanation:**

This exercise set focuses on understanding how different elementary row operations impact the determinant of a matrix. When performing manipulations on a matrix, it is crucial to know how these changes translate to the determinant, a scalar value that provides significant insights into the matrix properties, such as invertibility and volume transformation.

There are three types of elementary row operations:
1. **Row swapping (Ri ↔ Rj):**
   Swapping two rows changes the sign of the determinant.
   
2. **Row multiplication (kRi):**
    Multiplying a row by a scalar k multiplies the determinant by k.

3. **Row addition (Ri + kRj):**
   Adding a multiple of one row to another row does not change the determinant.

By manipulating matrices using these operations, you will develop a deeper understanding of how determinants behave under such transformations, a fundamental concept in linear algebra.
Transcribed Image Text:**Topic: Determinants and Elementary Row Operations** In Exercises 19-24, explore the effect of an elementary row operation on the determinant of a matrix. In each case, state the row operation and describe how it affects the determinant. **Explanation:** This exercise set focuses on understanding how different elementary row operations impact the determinant of a matrix. When performing manipulations on a matrix, it is crucial to know how these changes translate to the determinant, a scalar value that provides significant insights into the matrix properties, such as invertibility and volume transformation. There are three types of elementary row operations: 1. **Row swapping (Ri ↔ Rj):** Swapping two rows changes the sign of the determinant. 2. **Row multiplication (kRi):** Multiplying a row by a scalar k multiplies the determinant by k. 3. **Row addition (Ri + kRj):** Adding a multiple of one row to another row does not change the determinant. By manipulating matrices using these operations, you will develop a deeper understanding of how determinants behave under such transformations, a fundamental concept in linear algebra.
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