Exercises: Rank of a matrix

Calculate the value of the determinant of the following matrix $A$ of order 2. This value represents the scale factor of a geometric transformation in the plane:

Find the value of the determinant of the matrix $B$ using Sarrus' rule:

Given the matrix $M$, calculate the value of the real parameter $x$ so that its determinant is equal to $10$:

In the matrix $C$, identify the element $a_{23}$ and calculate its cofactor $A_{23}$:

Determine the rank of the following matrix $A$ by observing the relationship between its rows:

If we know that the determinant of a square matrix $A$ of order 2 is $|A| = 5$, what will be the value of the determinant of the matrix $2A$? Apply the properties of determinants to justify your answer.

Calculate the rank of the matrix $B$ by finding the non-zero minor of the highest order:

Quickly calculate the determinant of the following upper triangular matrix, justifying your answer:

Given a square matrix $A$ of order $3$ whose determinant is $|A| = 4$, use the properties of determinants to calculate with reasoning the value of the following determinants:

1. a) $|A^t \cdot A^{-1}|$

1. b) $|2 \cdot A \cdot A^t|$

1. c) The determinant of the matrix resulting from swapping the first two rows of $A$ and multiplying the third column by $-3$.

In the design of a graphics engine for a video game, a transformation matrix $M$ is required to be invertible in order to undo movements. Given the matrix:

$M = \begin{pmatrix} 1 & 0 & -1 \\ 0 & m & 3 \\ 4 & 1 & -m \end{pmatrix}$

1. a) Find the values of the real parameter $m$ for which matrix $M$ does not have an inverse.

1. b) For the value $m = 2$, calculate the value of the determinant of the inverse matrix, $|M^{-1}|$.

Analyze the rank of the following matrix $A$ in terms of the possible values of the real parameter $k$:

$A = \begin{pmatrix} k & 1 & 1 \\ 1 & k & 1 \\ 1 & 1 & k \end{pmatrix}$

Determine for which values of $k$ the rank is $1$, $2$, or $3$.

Given that the value of the determinant of the matrix $3 \times 3$ formed by the column vectors $\vec{c_1}$, $\vec{c_2}$ and $\vec{c_3}$ is equal to $5$, that is, $|\vec{c_1}, \vec{c_2}, \vec{c_3}| = 5$, calculate without expanding the value of:

$|\vec{c_1} + \vec{c_3}, \quad 2\vec{c_2}, \quad \vec{c_1} - \vec{c_3}|$

Justify each step by mentioning the property of determinants you applied.

Calculate the value of the following determinant of order $4$ using Gaussian elimination to create zeros in a row or column before expanding by cofactors:

$|D| = \begin{vmatrix} 1 & 2 & 0 & 3 \\ -1 & 3 & 1 & 4 \\ 2 & 0 & -2 & 1 \\ 0 & 1 & 3 & 2 \end{vmatrix}$

Determine the rank of the matrix $B$ according to the values of the real parameter $a$:

$B = \begin{pmatrix} 1 & a & 1 & 2 \\ 2 & -1 & a & 1 \\ 1 & 10 & -3 & 5 \end{pmatrix}$

Remember that for a matrix of dimensions $3 \times 4$, the maximum possible rank is $3$.

Solve the following quadratic equation expressed in determinant form:

$\begin{vmatrix} x & 1 & 3 \\ 1 & x & 2 \\ 3 & 2 & 1 \end{vmatrix} = 0$

Find the exact solutions (they may contain radicals).

Given the matrices $A$ and $B$ of order $3 \times 3$, it is known that $A$ has rank $3$ and that the determinant of $B$ is $|B| = 0$.

1. a) What is the value of the determinant of the product $|A \cdot B|$? Justify your answer.

1. b) Is it possible for the rank of the product matrix $A \cdot B$ to be $3$? Explain why based on the relationship between the determinant and the rank.

Let $A$ be a square matrix of order $n=4$ such that its determinant is $|A| = \frac{1}{2}$. Using exclusively the properties of determinants, calculate the value of the determinant of matrix $B$, defined as:

where $A^t$ is the transpose of $A$ and $Adj(A)$ is its adjugate matrix. Justify each step of your calculation, stating the property used.

A robotics engineer is programming the movement of a mechanical arm in three-dimensional space. The sensors detect three force vectors that determine the stability of the system. The matrix representing these forces is:

You are asked to:

1. Determine the rank of matrix $M$ in terms of the real parameter $k$.

2. Is there any value of $k$ for which the forces are linearly dependent but the rank of the matrix is maximum? Explain your answer based on the theory of minors.

Calculate, without expanding directly using Sarrus's rule, the value of the following determinant of order 4, applying elementary transformations to make zeros and simplify the calculation:

What condition must $a, b$ and $c$ meet for the rank of the associated matrix to be exactly 2?

Analyze the linear dependence of the rows of matrix $A$ according to the values of the real parameters $a$ and $b$:

Determine for which values of $(a, b)$ the rank of $A$ is equal to 1. Describe geometrically what relationship the row vectors have when this occurs.

Given the square matrix of order 3:

1. Prove that $|A|$ is independent of the value of the variable $x$.

2. If we define a new matrix $B = A - \lambda I$ (where $I$ is the identity), find the values of $\lambda$ for which the rank of $B$ is less than 3 when $x = \frac{\pi}{4}$.

In a telecommunications system, the signal is lost if the determinant of the transmission matrix becomes zero. The transmission matrix is given by:

1. Knowing that it is a Vandermonde determinant, express it as a product of linear factors.

2. If we fix $a=2$ and $b=5$, discuss the rank of $T$ according to the values that the parameter $m$ can take. For what value of $m$ is the rank minimum?

Consider the square matrix $A$ of order 3 whose columns are $C_1, C_2, C_3$. It is known that $|A| = 5$. Calculate the value of the determinant of matrix $M$ whose columns are:

If we replace the third column of $M$ with the zero vector, what would be the rank of the new matrix? Justify your answer without performing detailed numerical calculations.

Given the matrix:

1. Find the values of $\alpha$ for which the matrix does not have an inverse.

2. For the values found in part 1, calculate the rank of matrix $A^2$.

3. Is it possible to find a value of $\alpha$ such that $rg(A) \neq rg(A^2)$? Argue your answer based on the properties of rank and determinants.