Define: R^3→R^3 by
T(x,y,z)=(x-y+z,x+y,y+z)
Let v1= (1,1,1), v2= (0,1,1), v3= (0,0,1). Find a matrix of T with respect to the basis {v1,v2,v3}. Futher check T is invertible or not.
Complete {(2,0,3)} to form an orthogonal basis of R^3
Consider the basis S = {v1, v2} for R2, where v1 = (− 2, 1) and v2 = (1, 3), and let T:R2 → R3 be the linear transformation such that
T(v1) = (− 1, 4, 0) and T(v2) = (0, − 5, 9)
Find a formula for T(x1, x2), and use that formula to find T(4, − 5).
Give exact answers in the form of a fraction.
Suppose that a 4 × 4 matrix A has eigenvalues λ1 = 1, λ2 = − 4, λ3 = 6, and λ4 = − 6. Use the following method to find det (A).
If
p(λ) = det (λI − A) = λn + c1λn − 1 + ⋯ + cn
So, on setting λ = 0, we obtain that
det (− A) = cn or det (A) = (− 1)ncn
det (A) = ?
Apply the fundamental theorem of
homomorphism to prove that :
R⁴/R² isomorphic to R²
Let T : R2-+ R2be a linear operator with
matrix [ (w.r.t. the standard basis).
[ 7 1
-1 -1]
Use Cayley-Hamilton theorem to
check whether T is invertible or not. If T is
invertible, obtain T-1(x, y) for
(x,y) E R2 . If T is not invertible, obtain
the minimum polynomial of T.
Which of the following statements are true ?
Give reasons for your answers in the form of a
short proof or a counter-example : 10
(1) If X={D|D is a 2 x 2 diagonal matrix) and
D1~D2 iff D1 = cD2, c not equal to 0, c E Z' , then~ is an equivalence relation on X.
(ii) If two matrices A and B have the same
eigen values, then A = B.
(iii) Any symmetric matrix is non-singular.
(iv) If V = {(x, y) belongs to R² |x = y} , then (1, 0) +V and (0, 1) + V are two distinct elements of
R2/V.
Let :
V = R3,
W = {(x1, X2, X3) ! x1 - x2 = .X3}.
Show that W is a subspace of V. Further,
find a basis for W, and hence, find the
dimension of W.
The function f1 and f2 are linearly independent if there is a real number X such that k1f1(x) + k2f2(x)=0
(2) Prove that if V is a subspace of a vector space W and if V is infinite demensial then so in W.
(3) Prove that if A is digonalizble matrix then the rank of A is the number of non-zero eigen values of A.
Solve by finding the basis over R for the solution space.
(A) X + 3y -3z=0
2x - 3y + z=0
3x -2y + 2z=0
(B) X + Y + Z + W=0
2X + 3Y - Z +W=0
3X + 4Y +2W=0