i) False
Reason:-
Let a matrix "A = \\begin{bmatrix}1&2\\\\0&0\\end{bmatrix}"
Clearly A is not symmetric matrix.
Now let "\\lambda" be an eigen value of A.
So, "det(\\lambda I-A)=0" "\\Rightarrow \\lambda=0" or, 1
"\\therefore" Eigen values of A are real but A is not symmetric.
ii) False
Reason:-
Let "V=W=R^2"
And "T: V\\to W" such that "T(\\begin{bmatrix}a\\\\b\\end{bmatrix} ^T)=\\begin{bmatrix}a\\\\0\\end{bmatrix} ^T"
It is easy to see that "T" is well-defined and "T" is a Linear Transformation.
[As "v_1=v_2 \\Rightarrow T(v_1)=T(v_2)" and "T(v_1+cv_2)=T(v_1)+cT(v_2)"]
Now "Im(T) = \\{T(v) : v\\in V\\} = \\{\\begin{bmatrix}a\\\\0\\end{bmatrix}^T : a" is a real number"\\}"
Clearly "Im(T) \\subset W \\Rightarrow |Im(T)|<|W|"
Now, From "1st" isomorphism theorem,
"V\/ker(T) \\cong Im(T)"
"\\Rightarrow |V\/ker(T)| = |Im(T)| < |W|"
"\\Rightarrow |V\/ker(T)| < |W|"
"\\exists" no bijection between "V\/ker(T)" and "W"
So, "V\/ker(T)" is not isomorphic to "W"
iii) True
Reason :-
Let 3 matrices of order 2 are A, B and C, where
"A = \\begin{bmatrix}1&0\\\\0&1\\end{bmatrix}" , "B = \\begin{bmatrix}0&i\\\\i&0\\end{bmatrix}" and "C = \\begin{bmatrix}i\/2&\\sqrt{3}\/2\\\\\\sqrt{3}\/2&i\/2\\end{bmatrix}"
It is easy to check, "A(A^\\theta)^T=B(B^\\theta)^T=C(C^\\theta)^T=I"
Where "M^\\theta" is conjugate of M.
"\\therefore A,B,C" are Unitary.
So, A,B,C are 3 different unitary matrices of order 2.
"\\therefore \\exists" at least 3 different unitary matrices of order 2.
iv) False
Reason :-
Let "U, W" are two subspaces of "\\R^3" .
let "u\\in U" and c be a scalar. "\\Rightarrow cu\\in U"
Take "c=0" "\\therefore 0\\in U"
Similarly "0\\in W"
So, "0\\in U\\cap W"
"\\therefore" "U\\cap W" is not empty
v) False
Reason :-
Let "A = \\begin{bmatrix}1&2\\\\0&0\\end{bmatrix}" be a matrix of order 2.
Clearly "det(A)=0"
Let "P = \\begin{bmatrix}0&1\\\\1&2\\end{bmatrix}"
"\\therefore P^{-1} = \\begin{bmatrix}-2&1\\\\1&0\\end{bmatrix}"
Now "PAP^{-1}= \\begin{bmatrix}0&1\\\\1&2\\end{bmatrix}\\begin{bmatrix}1&2\\\\0&0\\end{bmatrix}\\begin{bmatrix}-2&1\\\\1&0\\end{bmatrix}=\\begin{bmatrix}0&0\\\\0&1\\end{bmatrix}"
"\\therefore PAP^{-1}" is a diagonal matrix. "\\Rightarrow A" is diagonalizable.
So, the Determinant of "A" is but "A" is diagonalizable.
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