Matrices

Question Types
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Two $2 \times 2$ square matrices $A , B$ satisfy $$A B + A ^ { 2 } B = E , \quad ( A - E ) ^ { 2 } + B ^ { 2 } = O$$ Among the statements in the following, which are correct? (Here, $E$ is the identity matrix and $O$ is the zero matrix.) [4 points]
Statements ᄀ. The inverse matrix of $B$ exists. ㄴ. $A B = B A$ ㄷ. $\left( A ^ { 3 } - A \right) ^ { 2 } + E = O$
(1) ㄴ
(2) ㄷ
(3) ᄀ, ㄴ
(4) ᄀ, ㄷ
(5) ᄀ, ㄴ, ㄷ
Two square matrices $A , B$ satisfy
$$A B + A ^ { 2 } B = E , \quad ( A - E ) ^ { 2 } + B ^ { 2 } = O$$
Which of the following statements in the given options are correct? (Here, $E$ is the identity matrix and $O$ is the zero matrix.) [4 points]
Options
$\text{ᄀ}$. The inverse matrix of $B$ exists. $\text{ㄴ}$. $A B = B A$ $\text{ㄷ}$. $\left( A ^ { 3 } - A \right) ^ { 2 } + E = O$
(1) ㄴ
(2) ㄷ
(3) ᄀ, ㄴ
(4) ᄀ, ㄷ
(5) ᄀ, ㄴ, ㄷ
For the system of linear equations in $x , y$:
$$\left( \begin{array} { l l } 5 & a \\ a & 3 \end{array} \right) \binom { x } { y } = \binom { x + 5 y } { 6 x + y }$$
Find the sum of all real values of $a$ such that the system has a solution other than $x = 0 , y = 0$. [4 points]
For two matrices $A = \left( \begin{array} { l l } 1 & 1 \\ 0 & 2 \end{array} \right) , B = \left( \begin{array} { l l } 1 & 1 \\ 3 & 0 \end{array} \right)$, what is the sum of all components of the matrix $A + B$? [2 points]
(1) 5
(2) 6
(3) 7
(4) 8
(5) 9
For two matrices $A = \left( \begin{array} { l l } 1 & 1 \\ 0 & 2 \end{array} \right) , B = \left( \begin{array} { l l } 1 & 1 \\ 3 & 0 \end{array} \right)$, what is the sum of all components of the matrix $A + B$? [2 points]
(1) 5
(2) 6
(3) 7
(4) 8
(5) 9
In the following graph, how many zeros are there among the components of the matrix representing the connection relationships between vertices? [3 points]
(1) 9
(2) 11
(3) 13
(4) 15
(5) 17
For the function $f ( x ) = x ( x + 1 ) ( x - 4 )$, answer the following. For the matrix $A = \left( \begin{array} { l l } 2 & 1 \\ 0 & 3 \end{array} \right)$, what is the sum of all constant values $a$ that satisfy $A \binom { 0 } { f ( a ) } = \binom { 0 } { 0 }$? [3 points]
(1) 1
(2) 2
(3) 3
(4) 4
(5) 5
Two square matrices $A , B$ satisfy $$A ^ { 2 } - A B = 3 E , \quad A ^ { 2 } B - B ^ { 2 } A = A + B$$ From the statements below, select all correct ones. (Here, $E$ is the identity matrix.) [4 points]
Statements ᄀ. The inverse matrix of $A$ exists. ㄴ. $A B = B A$ ㄷ. $( A + 2 B ) ^ { 2 } = 24 E$
(1) ᄀ
(2) ㄷ
(3) ᄀ, ㄴ
(4) ㄴ, ㄷ
(5) ᄀ, ㄴ, ㄷ
Two $2 \times 2$ square matrices $A$ and $B$ satisfy $$A ^ { 2 } - A B = 3 E , \quad A ^ { 2 } B - B ^ { 2 } A = A + B$$ Among the statements in the given options, which are correct? (Here, $E$ is the identity matrix.) [4 points]
ᄀ. The inverse matrix of $A$ exists. ㄴ. $A B = B A$ ㄷ. $( A + 2 B ) ^ { 2 } = 24 E$
(1) ᄀ
(2) ᄃ
(3) ᄀ, ᄂ
(4) ᄂ, ᄃ
(5) ᄀ, ᄂ, ᄃ
For two matrices $A = \left( \begin{array} { l l } 2 & 1 \\ 5 & 0 \end{array} \right) , B = \left( \begin{array} { l l } 1 & 0 \\ 1 & 1 \end{array} \right)$, what is the sum of all components of matrix $A - B$? [2 points]
(1) 1
(2) 2
(3) 3
(4) 4
(5) 5
For two matrices $A = \left( \begin{array} { l l } a & 3 \\ 0 & 1 \end{array} \right) , B = \left( \begin{array} { r r } 4 & 1 \\ - 1 & 0 \end{array} \right)$, when the sum of all entries of matrix $A + B$ is 9, what is the value of $a$? [2 points]
(1) 1
(2) 2
(3) 3
(4) 4
(5) 5
When point $\mathrm { P } ( 2 , - 1 )$ is mapped to point Q by the linear transformation represented by the matrix $\left( \begin{array} { r r } 1 & 2 \\ - 2 & 1 \end{array} \right)$, what is the slope of line PQ? [3 points]
(1) 1
(2) 2
(3) 3
(4) 4
(5) 5
Two $2 \times 2$ square matrices $A , B$ satisfy $$A + B = ( B A ) ^ { 2 } , \quad A B A = B + E$$ In the following statements, which are correct? (where $E$ is the identity matrix.) [4 points]
Statements ㄱ. $A = B ^ { 2 }$ ㄴ. $B ^ { - 1 } = A ^ { 2 } + E$ ㄷ. $A ^ { 5 } - B ^ { 5 } = A + B$
(1) ㄱ
(2) ㄴ
(3) ㄱ, ㄷ
(4) ㄴ, ㄷ
(5) ㄱ, ㄴ, ㄷ
For the system of linear equations in $x , y$ $$\left( \begin{array} { c c } 1 & a - 2 \\ 2 & - 1 \end{array} \right) \binom { x } { y } = 3 \binom { x } { y }$$ Find the value of the constant $a$ such that the system has a solution other than $x = 0 , y = 0$. [3 points]
3. The value of the determinant $\left| \begin{array} { c r } \cos \frac { \pi } { 6 } & \sin \frac { \pi } { 6 } \\ \sin \frac { \pi } { 6 } & \cos \frac { \pi } { 6 } \end{array} \right|$ is $\_\_\_\_$ .
11. The determinant $\left| \begin{array}{ll} a & b \\ c & d \end{array} \right|$ where $a, b, c, d \in \{-1, 1, 2\}$. Among all possible values, the maximum is $\_\_\_\_$
21. Elective 4-2: Matrices and Transformations
This problem mainly tests basic knowledge of matrices and inverse matrices, tests computational ability, and tests transformation and conversion ideas. Full marks: 7 points.
Solution: (1) Since $|A| = 2 \times 1 - (-1) \times 4 = 2$,
we have $A^{-1} = \begin{pmatrix} \frac{3}{2} & -\frac{1}{2} \\ -2 & 1 \end{pmatrix}$.
(2) From $AC = B$ we get $(A^{-1}A)C = A^{-1}B$,
thus $C = A^{-1}B = \begin{pmatrix} \frac{3}{2} & -\frac{1}{2} \\ -2 & 1 \end{pmatrix} \begin{pmatrix} 1 & 1 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} \frac{3}{2} & 2 \\ -2 & -3 \end{pmatrix}$.
Elective 4-4: Coordinate Systems and Parametric Equations
This problem mainly tests basic knowledge of conversion between polar and rectangular coordinates and parametric equations of circles, tests computational ability, and tests transformation and conversion ideas. Full marks: 7 points.
Solution: (1) Eliminating the parameter $t$, we obtain the ordinary equation of the circle: $(x-1)^2 + (y+2)^2 = 9$.
From $\sqrt{2}r\sin\left(q - \frac{p}{4}\right) = m$, we get $r\sin q - r\cos q - m = 0$,
so the rectangular coordinate equation of line $l$ is $x - y - m = 0$.
(2) According to the problem, the distance from center $C$ to line $l$ equals 2, i.e.,
$$\frac{|1 - (-2) - m|}{\sqrt{2}} = 2,$$
solving we get $m = -3 \pm 2\sqrt{2}$.
Elective 4-5: Inequalities
This problem mainly tests basic knowledge of absolute value inequalities and Cauchy inequality, tests reasoning and proof ability, and tests transformation and conversion ideas. Full marks: 7 points.
Solution: (1) Since $f(x) = |x+a| + |x+b| + c \geq |(
We consider the matrix with real coefficients $C \in \mathscr { M } _ { 7 } ( \mathbb { R } )$
$$C = \left( \begin{array} { l l l l l l l } 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \end{array} \right)$$
We denote $(e_1, e_2, e_3, e_4, e_5, e_6, e_7)$ the canonical basis of $\mathbb{R}^7$, and $c$ the endomorphism of $\mathbb{R}^7$ whose matrix in the canonical basis is $C$. We denote $f_1, f_2, f_3, f_4, f_5, f_6, f_7$ the column vectors of the matrix $C$.
Determine a basis of the kernel and a basis of the image of $c$, as well as the rank of $c$.
We consider the matrix with real coefficients $C \in \mathscr { M } _ { 7 } ( \mathbb { R } )$
$$C = \left( \begin{array} { l l l l l l l } 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \end{array} \right)$$
We denote $c$ the endomorphism of $\mathbb{R}^7$ whose matrix in the canonical basis is $C$, and $f_1, f_2, f_3, f_4, f_5, f_6, f_7$ the column vectors of the matrix $C$. We denote $F$ the vector subspace of $\mathbb{R}^7$ spanned by the first three column vectors $f_1, f_2$ and $f_3$ of $C$.
I.B.1) Show that $F$ is stable under $c$. I.B.2) Show that $(f_1, f_2, f_3)$ is a basis of $F$, and calculate the matrix $\Phi$ in this basis of the endomorphism $\varphi$ of $F$ induced by $c$.
We consider the matrix with real coefficients $C \in \mathscr { M } _ { 7 } ( \mathbb { R } )$
$$C = \left( \begin{array} { l l l l l l l } 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \end{array} \right)$$
Let $\Phi$ be the matrix in the basis $(f_1, f_2, f_3)$ of the endomorphism $\varphi$ of $F$ induced by $c$ (as determined in I.B).
In this question, we propose to calculate the spectrum of $\Phi$ without calculating its characteristic polynomial. I.C.1) Why is 1 an eigenvalue of $\Phi$? I.C.2) Can we deduce from the sole calculation of the trace of $\Phi$ that $\Phi$ is diagonalizable in $\mathscr{M}_3(\mathbb{C})$? I.C.3) Calculate $\Phi^2$. Using the additional information obtained by calculating the trace of $\Phi^2$, determine the spectrum of $\Phi$. Is the matrix $\Phi$ diagonalizable in $\mathscr{M}_3(\mathbb{R})$?
We consider the matrix with real coefficients $C \in \mathscr { M } _ { 7 } ( \mathbb { R } )$
$$C = \left( \begin{array} { l l l l l l l } 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \end{array} \right)$$
I.D.1) Deduce from the previous questions the spectrum of $C$. Specify the multiplicity order of the eigenvalues. I.D.2) Is the matrix $C$ diagonalizable over $\mathbb{C}$? over $\mathbb{R}$? If yes, indicate a diagonal matrix similar to $C$.
We consider the matrix with real coefficients $C \in \mathscr { M } _ { 7 } ( \mathbb { R } )$
$$C = \left( \begin{array} { l l l l l l l } 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ \mathbf { 1 } & 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & \mathbf { 1 } & 0 & 0 & \mathbf { 1 } & 0 & 0 \\ 0 & 0 & \mathbf { 1 } & \mathbf { 1 } & 0 & 0 & 0 \end{array} \right)$$
and $c$ the endomorphism of $\mathbb{R}^7$ whose matrix in the canonical basis is $C$.
Notation: if $f$ is a function of class $C^1$ from an open set $\mathscr{U}$ of $\mathbb{R}^d$ ($d \geqslant 1$) to $\mathbb{R}$, we denote, for every integer $i$ such that $1 \leqslant i \leqslant d$, $\partial_i f$ the partial derivative of $f$ with respect to its $i$-th variable.
In this section, we propose to study functions $f$ of class $C^1$ from $\mathbb{R}^7$ to $\mathbb{R}$ that satisfy the condition $f \circ c = f$, that is, such that $$f\left(x_3 + x_4, x_2 + x_5, x_1, x_1, x_1, x_2 + x_5, x_3 + x_4\right) = f\left(x_1, x_2, x_3, x_4, x_5, x_6, x_7\right)$$ for all $(x_1, x_2, x_3, x_4, x_5, x_6, x_7) \in \mathbb{R}^7$.
I.E.1) What structure does the set $\mathscr{S}$ of functions $f$ of class $C^1$ from $\mathbb{R}^7$ to $\mathbb{R}$ such that $f \circ c = f$ possess? I.E.2) Show that such a function satisfies $f \circ c^n = f$ for every integer $n \geqslant 1$. I.E.3) Let $f \in \mathscr{S}$. Calculate the Jacobian matrix of $f \circ c$ at $X = (x_1, x_2, x_3, x_4, x_5, x_6, x_7)$. Deduce a system of equations relating the partial derivatives $\partial_1 f(X), \ldots, \partial_7 f(X)$ of $f$ at a point $X$ of $\mathbb{R}^7$. I.E.4) For $f \in \mathscr{S}$, calculate the Jacobian matrix of $f \circ c^2$ at $X = (x_1, x_2, x_3, x_4, x_5, x_6, x_7)$. Complete the system of equations relating the partial derivatives $\partial_1 f(X), \ldots, \partial_7 f(X)$ of $f$ at a point $X$ of $\mathbb{R}^7$ obtained in the previous question. I.E.5) Application: without further calculation, determine the linear forms $f$ on $\mathbb{R}^7$ that belong to $\mathscr{S}$.
Let $h \in \mathscr{L}(E)$ be an endomorphism of $E$. Show that the following properties are equivalent: i) $h$ is an element of $\operatorname{Sim}(E)$; ii) $h^{*}h$ is collinear to $\operatorname{Id}_{E}$; iii) the matrix of $h$ in an orthonormal basis of $E$ is collinear to an orthogonal matrix.
In this question only, we assume $n = 2$. Explicitly give a vector space of dimension 2, formed of similarity matrices. Deduce from this, carefully, that $d_{2} = 2$.
In this question only, we assume $n$ is odd. If $f, g$ belong to $GL(E)$, show that there exists $\lambda \in \mathbb{R}$ such that $f + \lambda g$ is non-invertible. One may reason by considering the characteristic polynomial of $fg^{-1}$. Deduce that $d_{n} = 1$.