Math Problem Statement

Determine the values of p such that the rank of A = 1 1 -1 0 4 4 -3 1 p 2 2 2 9 9 p 3 is 3

Solution

To determine the values of pp such that the rank of matrix AA is 3, we first need to compute the determinant of the 3×33 \times 3 submatrices of AA and ensure that the matrix AA has exactly 3 linearly independent rows or columns.

The matrix AA is:

1 & 1 & -1 & 0 \\ 4 & 4 & -3 & 1 \\ p & 2 & 2 & 2 \\ 9 & 9 & p & 3 \end{pmatrix}$$ We will select $$3 \times 3$$ submatrices from $$A$$ and calculate their determinants. The rank will be 3 if at least one of these determinants is non-zero for a particular value of $$p$$. Let's consider the following $$3 \times 3$$ submatrix formed by the first three rows and columns of $$A$$: $$M_1 = \begin{pmatrix} 1 & 1 & -1 \\ 4 & 4 & -3 \\ p & 2 & 2 \end{pmatrix}$$ The determinant of $$M_1$$ is: $$\text{det}(M_1) = 1 \cdot \begin{vmatrix} 4 & -3 \\ 2 & 2 \end{vmatrix} - 1 \cdot \begin{vmatrix} 4 & -3 \\ p & 2 \end{vmatrix} - 1 \cdot \begin{vmatrix} 4 & 4 \\ p & 2 \end{vmatrix}$$ Let's calculate each of the smaller determinants: $$\begin{vmatrix} 4 & -3 \\ 2 & 2 \end{vmatrix} = 4 \cdot 2 - (-3) \cdot 2 = 8 + 6 = 14$$ $$\begin{vmatrix} 4 & -3 \\ p & 2 \end{vmatrix} = 4 \cdot 2 - (-3) \cdot p = 8 + 3p = 8 + 3p$$ $$\begin{vmatrix} 4 & 4 \\ p & 2 \end{vmatrix} = 4 \cdot 2 - 4 \cdot p = 8 - 4p$$ Substituting these into the determinant of $$M_1$$: $$\text{det}(M_1) = 1 \cdot 14 - 1 \cdot (8 + 3p) - 1 \cdot (8 - 4p)$$ Simplifying: $$\text{det}(M_1) = 14 - 8 - 3p - 8 + 4p = -2 + p$$ So: $$\text{det}(M_1) = p - 2$$ The determinant $$\text{det}(M_1)$$ will be non-zero when $$p \neq 2$$. Therefore, $$p \neq 2$$ will ensure that the rank of $$A$$ is 3. ### Final Answer: The values of $$p$$ such that the rank of $$A$$ is 3 are all values $$p$$ except $$p = 2$$. --- Would you like further details on this process or do you have any questions? Here are some related questions: 1. What does the rank of a matrix represent in linear algebra? 2. How can the determinant of a matrix help determine the rank? 3. What is the significance of linearly independent rows in a matrix? 4. Can the rank of a matrix be greater than its number of rows or columns? 5. What happens to the rank if a matrix is multiplied by a non-zero scalar? **Tip:** Remember that the rank of a matrix is the maximum number of linearly independent rows or columns, which determines the dimensionality of the space spanned by the matrix.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Matrix Rank
Determinants

Formulas

Matrix determinant formula

Theorems

Properties of determinants

Suitable Grade Level

Advanced College