LFM Pure

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Q69. Let $\alpha \beta \neq 0$ and $A = \left[ \begin{array} { r r r } \beta & \alpha & 3 \\ \alpha & \alpha & \beta \\ - \beta & \alpha & 2 \alpha \end{array} \right]$. If $B = \left[ \begin{array} { r r r } 3 \alpha & - 9 & 3 \alpha \\ - \alpha & 7 & - 2 \alpha \\ - 2 \alpha & 5 & - 2 \beta \end{array} \right]$ is the matrix of cofactors of the elements of $A$, then $\operatorname { det } ( A B )$ is equal to :
(1) 64
(2) 216
(3) 343
(4) 125
Q70. $x + y + z = 4$, The values of $m , n$, for which the system of equations $2 x + 5 y + 5 z = 17$, has infinitely many solutions, $x + 2 y + \mathrm { m } z = \mathrm { n }$ satisfy the equation:
(1) $m ^ { 2 } + n ^ { 2 } - m n = 39$
(2) $m ^ { 2 } + n ^ { 2 } - m - n = 46$
(3) $m ^ { 2 } + n ^ { 2 } + m + n = 64$
(4) $m ^ { 2 } + n ^ { 2 } + m n = 68$
Q69. If $\alpha \neq \mathrm { a } , \beta \neq \mathrm { b } , \gamma \neq \mathrm { c }$ and $\left| \begin{array} { c c c } \alpha & \mathrm { b } & \mathrm { c } \\ \mathrm { a } & \beta & \mathrm { c } \\ \mathrm { a } & \mathrm { b } & \gamma \end{array} \right| = 0$, then $\frac { \mathrm { a } } { \alpha - \mathrm { a } } + \frac { \mathrm { b } } { \beta - \mathrm { b } } + \frac { \gamma } { \gamma - \mathrm { c } }$ is equal to:
(1) 3
(2) 0
(3) 1
(4) 2
Q70. $\quad x + ( \sqrt { 2 } \sin \alpha ) y + ( \sqrt { 2 } \cos \alpha ) z = 0$ If the system of equations $x + ( \cos \alpha ) y + ( \sin \alpha ) z = 0 \quad$ has a non-trivial solution, then $\alpha \in \left( 0 , \frac { \pi } { 2 } \right)$ is
$$x + ( \sin \alpha ) y - ( \cos \alpha ) z = 0$$
equal to :
(1) $\frac { 11 \pi } { 24 }$
(2) $\frac { 5 \pi } { 24 }$
(3) $\frac { 7 \pi } { 24 }$
(4) $\frac { 3 \pi } { 4 }$
Q70. If $A$ is a square matrix of order 3 such that $\operatorname { det } ( A ) = 3$ and $\operatorname { det } \left( \operatorname { adj } \left( - 4 \operatorname { adj } \left( - 3 \operatorname { adj } \left( 3 \operatorname { adj } \left( ( 2 \mathrm {~A} ) ^ { - 1 } \right) \right) \right) \right) \right) = 2 ^ { \mathrm { m } } 3 ^ { \mathrm { n } }$, then $\mathrm { m } + 2 \mathrm { n }$ is equal to :
(1) 2
(2) 3
(3) 6
(4) 4
Q86. Let $A$ be a non-singular matrix of order 3 . If $\operatorname { det } ( 3 \operatorname { adj } ( 2 \operatorname { adj } ( ( \operatorname { det } A ) A ) ) ) = 3 ^ { - 13 } \cdot 2 ^ { - 10 }$ and $\operatorname { det } ( 3 \operatorname { adj } ( 2 \mathrm {~A} ) ) = 2 ^ { \mathrm { m } } \cdot 3 ^ { \mathrm { n } }$, then $| 3 \mathrm {~m} + 2 \mathrm { n } |$ is equal to
If $\mathrm{A} = \left[\begin{array}{ll}\alpha & 2 \\ 1 & 2\end{array}\right], \mathrm{B} = \left[\begin{array}{ll}1 & 1 \\ \beta & 1\end{array}\right]$ and $\mathrm{A}^{2} - 4\mathrm{A} + 2\mathrm{I} = 0 ; \mathrm{B}^{2} - 2\mathrm{B} + \mathrm{I} = 0$, then $\left|\operatorname{adj}\left(\mathrm{A}^{3} - \mathrm{B}^{3}\right)\right|$ is equal to
(A) 7 (B) 11 (C) -11 (D) 121
spain-selectividad 2018 Q1 2.5 marks Linear System Existence and Uniqueness via Determinant View
Given the matrices $A = \left( \begin{array} { c c c } 14 & 0 & 10 \\ 0 & 7 & 5 \\ 3 & 4 & 5 \alpha \end{array} \right) , \quad X = \left( \begin{array} { l } x \\ y \\ z \end{array} \right) \text{ and } \quad B = \left( \begin{array} { c } 2 \\ 37 / 2 \\ 11 \end{array} \right)$, it is requested:
a) (1.25 points) Discuss the rank of matrix A, as a function of the values of the parameter $\alpha$.
b) (0.75 points) For $\alpha = 0$, calculate, if possible, $A ^ { - 1 }$.
c) (0.5 points) Solve, if possible, the system $A X = B$, in the case $\alpha = 0$.
spain-selectividad 2020 QB.1 2 marks Direct Determinant Computation View
Given the matrices $A = \left(\begin{array}{ccc} 0 & -1 & 2 \\ 2 & 1 & -1 \\ 1 & 0 & 1 \end{array}\right)$, $I = \left(\begin{array}{lll} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}\right)$, $B = \left(\begin{array}{cc} 2 & -1 \\ 1 & 0 \\ 0 & 1 \end{array}\right)$, find:\ a) (1 point) Calculate, if possible, the inverse of matrix $A$.\ b) (0.5 points) Calculate the matrix $C = A^{2} - 2I$.\ c) (1 point) Calculate the determinant of matrix $D = ABB^{t}$ (where $B^{t}$ denotes the transpose of matrix $B$).
The tribonacci numbers $\left\{ T _ { n } \right\}$ are defined for non-negative integers $n$ as follows.
$$\left\{ \begin{array} { l } T _ { 0 } = T _ { 1 } = 0 \\ T _ { 2 } = 1 \\ T _ { n + 3 } = T _ { n + 2 } + T _ { n + 1 } + T _ { n } \quad ( n \geq 0 ) \end{array} \right.$$
Answer the following questions.
(1) Find the matrix $A$ that satisfies Eq. (1.1) for all non-negative integers $n$.
$$\left( \begin{array} { l } T _ { n + 3 } \\ T _ { n + 2 } \\ T _ { n + 1 } \end{array} \right) = A \left( \begin{array} { l } T _ { n + 2 } \\ T _ { n + 1 } \\ T _ { n } \end{array} \right)$$
(2) Find the rank and the characteristic equation, i.e., the equation that eigenvalues satisfy, of the matrix $A$.
(3) Let $\lambda _ { 1 } , \lambda _ { 2 } , \lambda _ { 3 }$ denote the eigenvalues of the matrix $A$. Express an eigenvector corresponding to each of the eigenvalues using $\lambda _ { 1 } , \lambda _ { 2 } , \lambda _ { 3 }$.
(4) Prove that the matrix $A$ has only one real number eigenvalue. Letting $\lambda _ { 1 }$ correspond to this eigenvalue, prove that $1 < \lambda _ { 1 } < 2$.
(5) Prove that $T _ { n }$ can be expressed as $T _ { n } = c _ { 1 } \lambda _ { 1 } ^ { n } + c _ { 2 } \lambda _ { 2 } ^ { n } + c _ { 3 } \lambda _ { 3 } ^ { n }$ using constant complex numbers $c _ { 1 } , c _ { 2 } , c _ { 3 }$. You do not need to find values of $c _ { 1 } , c _ { 2 } , c _ { 3 }$ explicitly.
(6) Prove $\lim _ { n \rightarrow \infty } \frac { T _ { n + 1 } } { T _ { n } } = \lambda _ { 1 }$.
Problem 2
Consider the column vectors $\mathbf { a } _ { 1 } = \left( \begin{array} { l } 0 \\ 1 \\ 1 \end{array} \right) , \mathbf { a } _ { 2 } = \left( \begin{array} { l } 1 \\ 0 \\ 1 \end{array} \right) , \mathbf { a } _ { 3 } = \left( \begin{array} { l } 1 \\ 1 \\ 0 \end{array} \right) , \mathbf { b } = \left( \begin{array} { l } 1 \\ 2 \\ 4 \end{array} \right) , \mathbf { 0 } = \left( \begin{array} { l } 0 \\ 0 \\ 0 \end{array} \right)$.
I. When $\mathbf { A } = \left( \begin{array} { l l l } \mathbf { a } _ { 1 } & \mathbf { a } _ { 2 } & \mathbf { a } _ { 3 } \end{array} \right)$, obtain the three-dimensional column vector $\mathbf { x }$ which meets
$$A x - b = 0 .$$
II. Any $m \times n$ real matrix $\mathbf { B }$ is expressed using orthonormal matrices $\mathbf { U } ( m \times m )$ and $\mathrm { V } ( n \times n )$ as
$$\mathbf { B } = \mathbf { U \Sigma V } ^ { T } , \quad \boldsymbol { \Sigma } = \left( \begin{array} { c c c c c c c } \sigma _ { 1 } & 0 & \cdots & 0 & 0 & \cdots & 0 \\ 0 & \sigma _ { 2 } & \ddots & \vdots & \vdots & & \vdots \\ \vdots & \ddots & \ddots & 0 & \vdots & & \vdots \\ 0 & \cdots & 0 & \sigma _ { r } & 0 & \cdots & 0 \\ 0 & \cdots & \cdots & 0 & 0 & \cdots & 0 \\ \vdots & & & \vdots & \vdots & & \vdots \\ 0 & \cdots & \cdots & 0 & 0 & \cdots & 0 \end{array} \right) , \quad r = \operatorname { rank } ( \mathbf { B } ) .$$
$\sigma _ { 1 } , \sigma _ { 2 } , \cdots , \sigma _ { r }$ are positive real numbers, and they are called singular values of $\mathbf { B }$. $\mathbf { P } ^ { T }$ means the transposed matrix of a matrix $\mathbf { P }$. Then, express $\mathbf { B B } ^ { T }$ and $\mathbf { B } ^ { T } \mathbf { B }$ using matrices $\mathbf { U } , \mathbf { V } , \boldsymbol { \Sigma }$ and their transposed matrices, respectively.
Let $\mathbf { B } = \left( \mathbf { a } _ { 1 } \mathbf { a } _ { 2 } \right)$ in the following questions.
III. Find the eigenvalues and corresponding eigenvectors for $\mathbf { B B } ^ { T }$.
IV. Find singular values of $\mathbf { B }$ and orthonormal matrices $\mathbf { U }$ and $\mathbf { V }$ used in Equation (2).
V. Find the two-dimensional column vector $\mathbf { x }$ which minimizes the norm
$$\| \mathrm { Bx } - \mathrm { b } \| ^ { 2 } = ( \mathrm { Bx } - \mathrm { b } ) ^ { T } ( \mathrm { Bx } - \mathrm { b } ) .$$
todai-math 2017 Q1 Compute eigenvectors or eigenspaces View
Suppose that three-dimensional vectors $\left( \begin{array} { c } x _ { n } \\ y _ { n } \\ z _ { n } \end{array} \right)$ satisfy the equation
$$\left( \begin{array} { l } x _ { n + 1 } \\ y _ { n + 1 } \\ z _ { n + 1 } \end{array} \right) = A \left( \begin{array} { l } x _ { n } \\ y _ { n } \\ z _ { n } \end{array} \right) \quad ( n = 0,1,2 , \ldots )$$
where $x _ { 0 } , y _ { 0 } , z _ { 0 }$ and $\alpha$ are real numbers, and
$$A = \left( \begin{array} { c c c } 1 - 2 \alpha & \alpha & \alpha \\ \alpha & 1 - \alpha & 0 \\ \alpha & 0 & 1 - \alpha \end{array} \right) , \quad 0 < \alpha < \frac { 1 } { 3 }$$
Answer the following questions.
(1) Express $x _ { n } + y _ { n } + z _ { n }$ using $x _ { 0 } , y _ { 0 }$ and $z _ { 0 }$.
(2) Obtain the eigenvalues $\lambda _ { 1 } , \lambda _ { 2 }$ and $\lambda _ { 3 }$, and their corresponding eigenvectors $\boldsymbol { v } _ { \mathbf { 1 } } , \boldsymbol { v } _ { \mathbf { 2 } }$ and $\boldsymbol { v } _ { \mathbf { 3 } }$ of the matrix $A$.
(3) Express the matrix $A$ using $\lambda _ { 1 } , \lambda _ { 2 } , \lambda _ { 3 } , \boldsymbol { v } _ { 1 } , \boldsymbol { v } _ { 2 }$ and $\boldsymbol { v } _ { 3 }$.
(4) Express $\left( \begin{array} { l } x _ { n } \\ y _ { n } \\ z _ { n } \end{array} \right)$ using $x _ { 0 } , y _ { 0 } , z _ { 0 }$ and $\alpha$.
(5) Obtain $\lim _ { n \rightarrow \infty } \left( \begin{array} { l } x _ { n } \\ y _ { n } \\ z _ { n } \end{array} \right)$. (6) Regard
$$f \left( x _ { 0 } , y _ { 0 } , z _ { 0 } \right) = \frac { \left( x _ { n } , y _ { n } , z _ { n } \right) \left( \begin{array} { l } x _ { n + 1 } \\ y _ { n + 1 } \\ z _ { n + 1 } \end{array} \right) } { \left( x _ { n } , y _ { n } , z _ { n } \right) \left( \begin{array} { l } x _ { n } \\ y _ { n } \\ z _ { n } \end{array} \right) }$$
as a function of $x _ { 0 } , y _ { 0 }$ and $z _ { 0 }$. Obtain the maximum and the minimum values of $f \left( x _ { 0 } , y _ { 0 } , z _ { 0 } \right)$, where we assume that $x _ { 0 } ^ { 2 } + y _ { 0 } ^ { 2 } + z _ { 0 } ^ { 2 } \neq 0$.
todai-math 2019 Q2 Compute eigenvectors or eigenspaces View
Problem 2
I. Answer the following questions about the matrix $\boldsymbol { P }$: $$\boldsymbol { P } = \left( \begin{array} { c c c } 0 & 0 & \frac { 3 } { 2 } \\ 2 & 0 & 0 \\ 0 & \frac { 1 } { 3 } & 0 \end{array} \right)$$
  1. Obtain all eigenvalues of the matrix $\boldsymbol { P }$ and the corresponding eigenvectors with unit norms.
  2. Obtain $P ^ { 2 }$ and $P ^ { 3 }$.

II. Let $\boldsymbol { A }$ be the real matrix given by the block diagonal matrix: $$\boldsymbol { A } = \left( \begin{array} { c c c c c } 0 & 0 & c & 0 & 0 \\ a & 0 & 0 & 0 & 0 \\ 0 & b & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & e \\ 0 & 0 & 0 & d & 0 \end{array} \right)$$ Express succinctly the necessary and sufficient condition on $a , b , c , d$, and $e$, such that there exists a positive integer $m$ for which $\boldsymbol { A } ^ { m }$ is the identity matrix (proof is not required).
III. The matrix $M$ is a square matrix of order 12 with all elements taking either 0 or 1, such that each row and column has exactly one element being 1. Let $k _ { 0 }$ be the minimum value of the positive integer $k$ such that $M ^ { k }$ is the identity matrix. For all possible matrices $M$, give the maximum value of $k _ { 0 }$ (proof is not required).
todai-math 2024 Q1 Determinant and Rank Computation View
Let $\mathbb { R } ^ { 3 }$ be the set of the three-dimensional real column vectors and $\mathbb { R } ^ { 3 \times 3 }$ be the set of the three-by-three real matrices. Let $n _ { 1 } , n _ { 2 }$, and $n _ { 3 } \in \mathbb { R } ^ { 3 }$ be linearly independent unit-length vectors and $n _ { 4 } \in \mathbb { R } ^ { 3 }$ be a unit-length vector not parallel to $n _ { 1 } , n _ { 2 }$, or $n _ { 3 }$. Let A and B be square matrices defined as
$$\mathbf { A } = \left( \begin{array} { l } n _ { 1 } ^ { \mathrm { T } } - n _ { 2 } ^ { \mathrm { T } } \\ n _ { 2 } ^ { \mathrm { T } } - n _ { 3 } ^ { \mathrm { T } } \\ n _ { 3 } ^ { \mathrm { T } } - n _ { 4 } ^ { \mathrm { T } } \end{array} \right) , \quad \mathbf { B } = \sum _ { i = 1 } ^ { 4 } n _ { i } n _ { i } ^ { \mathrm { T } }$$
Here, $\mathrm { X } ^ { \mathrm { T } }$ and $\boldsymbol { x } ^ { \mathrm { T } }$ denote the transpose of a matrix X and a vector $\boldsymbol { x }$, respectively. Answer the following questions.
(1) Find the condition for $n _ { 4 }$ such that the rank of $\mathbf { A }$ is three.
(2) In the three-dimensional Euclidean space $\mathbb { R } ^ { 3 }$, consider four planes $\Pi _ { i } = \{ x \in \left. \mathbb { R } ^ { 3 } \mid n _ { i } ^ { \mathrm { T } } \boldsymbol { x } - d _ { i } = 0 \right\}$ ( $d _ { i }$ is a real number, and $i = 1,2,3,4$ ) that satisfy the following three conditions: (i) the rank of A is three, (ii) $\Omega = \left\{ x \in \mathbb { R } ^ { 3 } \mid n _ { i } ^ { \mathrm { T } } x - d _ { i } \geq 0 , i = 1,2,3,4 \right\}$ is not the empty set, and (iii) there exists a sphere $\mathrm { C } ( \subset \Omega )$ to which $\Pi _ { i } ( i = 1,2,3,4 )$ are tangent. The position vector of the center of C is represented by $\mathbf { A } ^ { -1 } \boldsymbol { u }$ using a vector $\boldsymbol { u } \in \mathbb { R } ^ { 3 }$. Express $\boldsymbol { u }$ using $d _ { i } ( i = 1,2,3,4 )$.
(3) Show that B is a positive definite symmetric matrix.
(4) Consider the point P from which the sum of squared distances to four planes $\{ x \in \left. \mathbb { R } ^ { 3 } \mid n _ { i } ^ { \mathrm { T } } x - d _ { i } = 0 \right\}$ ( $d _ { i }$ is a real number, and $i = 1,2,3,4$ ) is minimized. The position vector of P is represented by $\mathrm { B } ^ { -1 } v$ using a vector $v \in \mathbb { R } ^ { 3 }$. Express $v$ using $n _ { i }$ and $d _ { i } ( i = 1,2,3,4 )$.
(5) Let $l _ { i }$ be a straight line through a point $Q _ { i }$, the position vector of which is $x _ { i } \in \mathbb { R } ^ { 3 }$, parallel to $n _ { i } ( i = 1,2,3 )$ in $\mathbb { R } ^ { 3 }$. Let $\mathrm { R } _ { i }$ be the orthogonal projection of an arbitrary point $R$, the position vector of which is $y \in \mathbb { R } ^ { 3 }$, onto $l _ { i }$. The position vector of $R _ { i }$ is represented by $y - \mathrm { W } _ { i } \left( y - x _ { i } \right)$ using a matrix $\mathrm { W } _ { i } \in \mathbb { R } ^ { 3 \times 3 }$. The identity matrix is denoted by $I \in \mathbb { R } ^ { 3 \times 3 }$.
(a) Express $\mathrm { W } _ { i }$ using $n _ { i }$ and I.
(b) Show that $\mathrm { W } _ { i } ^ { \mathrm { T } } \mathrm { W } _ { i } = \mathrm { W } _ { i }$.
(c) Consider a plane $\Sigma = \left\{ \boldsymbol { x } \in \mathbb { R } ^ { 3 } \mid \boldsymbol { a } ^ { \mathrm { T } } \boldsymbol { x } = b \right\} \left( \boldsymbol { a } \in \mathbb { R } ^ { 3 } \right.$ is a non-zero vector, and $b$ is a real number). Let $\mathrm { S } \in \Sigma$ be the point from which the sum of squared distances to $l _ { 1 } , l _ { 2 }$, and $l _ { 3 }$ is minimized. When $n _ { 1 } , n _ { 2 }$, and $n _ { 3 }$ are orthogonal to each other, the position vector of $S$ is represented by
$$\left( \mathrm { I } - \frac { a a ^ { \mathrm { T } } } { a ^ { \mathrm { T } } a } \right) w + \frac { a b } { a ^ { \mathrm { T } } a }$$
using a vector $\boldsymbol { w } \in \mathbb { R } ^ { 3 }$ which is independent of $a$ and $b$. Express $\boldsymbol { w }$ using $\mathbf { W } _ { i }$ and $x _ { i } ( i = 1,2,3 )$.
turkey-yks 2015 Q35 Determinant and Rank Computation View
Let A be a $2 \times 2$ matrix and $I$ be the $2 \times 2$ identity matrix such that
$$A ^ { 2 } = \left[ \begin{array} { l l } 2 & 1 \\ 1 & 5 \end{array} \right]$$
What is the value of the determinant $| ( \mathbf { A } - \mathbf { I } ) ( \mathbf { A } + \mathbf { I } ) |$?
A) 2
B) 3
C) 4
D) 5
E) 6