\(A = \begin{bmatrix}1&-3\\ 2&k\end{bmatrix}\)
\(\therefore A^{2} -4A +10I = A\)
\(\Rightarrow \begin{bmatrix}1&-3\\ 2&k\end{bmatrix} \begin{bmatrix}1&-3\\ 2&k\end{bmatrix}-4 \begin{bmatrix}1&-3\\ 2&k\end{bmatrix}\)
\(+ 10 \begin{bmatrix}1&0\\ 0&1\end{bmatrix} = \begin{bmatrix}1&-3\\ 2&k\end{bmatrix}\)
\(\Rightarrow \begin{bmatrix}-5&-3-3k\\ 2+2k& -6+k^{2}\end{bmatrix} - \begin{bmatrix}4&-12\\ 8&4k\end{bmatrix} + \begin{bmatrix}10&0\\ 0&10\end{bmatrix} = \begin{bmatrix}1&-3\\ 2&k\end{bmatrix}\)
\(\Rightarrow \begin{bmatrix}1&9-3k\\ -6+2k&4+k^{2}-4k\end{bmatrix} =\begin{bmatrix}1&-3\\ 2&k\end{bmatrix}\)
\(\Rightarrow 9 -3 k = -3, - 6+2k = 2 \,\,\,\,\dots(i)\)
and \(4 + k^{2} - 4k = k\)
\(\Rightarrow \, k^{2}- 5k + 4 = 0\)
\(\Rightarrow\, \left(k - 4\right) \left(k - 1\right) = 0\)
\(\Rightarrow \, k = 4,1\)
The term "matrix" refers to a rectangular arrangement of m and n elements where the arrangement is made up of m rows and n columns contained in square brackets.
Few types of matrices are–
Column Matrix
A column matrix is a matrix with just one column. In general, we may state that the number of rows in the column matrix is 0, but the number of columns is 1.
Row Matrix
A row matrix is a matrix with just one row. In the row matrix, there are typically 1 row and 0 columns.
Square Matrix
A square matrix is one that has the same number of rows and columns as rows. If a matrix is m*n in size, then m=n is always present in the square matrix.
Diagonal Matrix
A matrix that solely contains elements in diagonal positions is referred to as a diagonal matrix.
Zero Matrix
A matrix having a Zero on all the positions then It is called a Zero Matrix.
Scalar Matrix
A diagonal Matrix having the same elements on diagonal Position Then It is called as a Scalar Matrix.
Identity Matrix
In the Square Matrix, Elements which are halted on diagonal positions are 1 and rest elements are 0 called an Identity Matrix.
Solve for \( x \):
\( \log_{10}(x^2) = 2 \).
Let \( K \) be an algebraically closed field containing a finite field \( F \). Let \( L \) be the subfield of \( K \) consisting of elements of \( K \) that are algebraic over \( F \).
Consider the following statements:
S1: \( L \) is algebraically closed.
S2: \( L \) is infinite.
Then, which one of the following is correct?
A wooden block of mass M lies on a rough floor. Another wooden block of the same mass is hanging from the point O through strings as shown in the figure. To achieve equilibrium, the coefficient of static friction between the block on the floor and the floor itself is
In an experiment to determine the figure of merit of a galvanometer by half deflection method, a student constructed the following circuit. He applied a resistance of \( 520 \, \Omega \) in \( R \). When \( K_1 \) is closed and \( K_2 \) is open, the deflection observed in the galvanometer is 20 div. When \( K_1 \) is also closed and a resistance of \( 90 \, \Omega \) is removed in \( S \), the deflection becomes 13 div. The resistance of galvanometer is nearly:
Consider z1 and z2 are two complex numbers.
For example, z1 = 3+4i and z2 = 4+3i
Here a=3, b=4, c=4, d=3
∴z1+ z2 = (a+c)+(b+d)i
⇒z1 + z2 = (3+4)+(4+3)i
⇒z1 + z2 = 7+7i
Properties of addition of complex numbers
It is similar to the addition of complex numbers, such that, z1 - z2 = z1 + ( -z2)
For example: (5+3i) - (2+1i) = (5-2) + (-2-1i) = 3 - 3i
Considering the same value of z1 and z2 , the product of the complex numbers are
z1 * z2 = (ac-bd) + (ad+bc) i
For example: (5+6i) (2+3i) = (5×2) + (6×3)i = 10+18i
Properties of Multiplication of complex numbers
Note: The properties of multiplication of complex numbers are similar to the properties we discussed in addition to complex numbers.
Associative law: Considering three complex numbers, (z1 z2) z3 = z1 (z2 z3)
Read More: Complex Numbers and Quadratic Equations
If z1 / z2 of a complex number is asked, simplify it as z1 (1/z2 )
For example: z1 = 4+2i and z2 = 2 - i
z1 / z2 =(4+2i)×1/(2 - i) = (4+i2)(2/(2²+(-1)² ) + i (-1)/(2²+(-1)² ))
=(4+i2) ((2+i)/5) = 1/5 [8+4i + 2(-1)+1] = 1/5 [8-2+1+41] = 1/5 [7+4i]