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The question in the image asks:

**"Describe the difference between Scalar Matrix and Diagonal Matrix using an example."**

### Explanation:

1. **Diagonal Matrix**: 
   A diagonal matrix is a square matrix in which all the elements outside the main diagonal are zero. The elements on the main diagonal can be any number (including zero).

   **Example of a Diagonal Matrix**:
   \[
   \begin{pmatrix}
   3 & 0 & 0 \\
   0 & 5 & 0 \\
   0 & 0 & 7
   \end{pmatrix}
   \]
   Here, the main diagonal contains non-zero numbers (3, 5, 7), while all off-diagonal elements are zero.

2. **Scalar Matrix**: 
   A scalar matrix is a special case of a diagonal matrix where all the elements on the main diagonal are the same constant. Like a diagonal matrix, all off-diagonal elements are zero, but the diagonal entries are equal.

   **Example of a Scalar Matrix**:
   \[
   \begin{pmatrix}
   4 & 0 & 0 \\
   0 & 4 & 0 \\
   0 & 0 & 4
   \end{pmatrix}
   \]
   In this case, the main diagonal elements are all equal to 4, making it a scalar matrix.

### Key Difference:
- A **diagonal matrix** can have different values along the diagonal, whereas a **scalar matrix** has the same value on all diagonal entries.

Would you like further details on this? Here are five follow-up questions:

1. What are other types of matrices commonly studied in linear algebra?
2. How can a diagonal matrix be used in matrix diagonalization?
3. Can a scalar matrix be classified as an identity matrix under certain conditions?
4. How does matrix multiplication behave with scalar matrices?
5. What is the role of diagonal matrices in simplifying systems of linear equations?

**Tip**: Diagonal matrices are especially useful in simplifying complex matrix operations, as their properties make calculations more straightforward!

Describe the difference between Scalar Matrix and Diagonal Matrix using an example.

Understand the key differences between scalar and diagonal matrices with detailed examples. This explanation covers essential concepts in matrix theory, including properties and applications of both types. Ideal for students in Grades 10-12.

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