(4.1). Let X= (a,b,c) and Y = (p,q,r) be 2 arbitrary vectors in R3 and let k be an arbitrary real scalar. Then X+Y = (a+p,b+q,c+r) and T(X+Y) = (a+p+b+q+c+r)+ (a+p+b+q)x +(a+p)x2 = (a+b+c)+ (a+b)x +ax2+(p+q+r)+ (p+q)x +px2 = T(X)+T(Y). Hence T preserves vector addition.
Also, T(kX) =(ka+kb+kc)+ (ka+kb)x +kax2 =k[(a+b+c)+ (a+b)x +ax2] = kT(X). Hence T preserves scalar multiplication.
Therefore, T is a linear transformation.
(4.2). We have T(1,1,0) = 2+2x+x2 = 2(1+x)+0(1-x)+ 1(x2), T(1,-1,0) = x2 = 0(1+x)+0(1-x)+ 1(x2), and T(0,1,1) = 2+x= (3/2)(1+x)+(1/2)(1-x)+ 0(x2).
Therefore, the matrix of T relative to the bases B1 ,B2 is [T]B2,B1 = A (say)=
2 |
0 |
3/2 |
0 |
0 |
1/2 |
1 |
1 |
0 |
It may be observed that the entries in the columns of A are the coefficients of (1=x),(1-x) and x2 in T(1,1,0), T(1,-1,0) and T(0,1,1) respectively.
(4.3). The RREF of A is
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
The range of T, being equal to col(A) is whole of P2. Further, since the columns of A span P2, hence T is onto.
(4.4). We have X-Y = (a-p,b-q,c-r) and T(X-Y) = (a-p+ b-q+c-r) +( a-p+ b-q)x+ (a-p)x2 . Now if X-Y is in ker(T), then T(X-Y) = 0 or, (a-p+ b-q+c-r) +( a-p+ b-q)x+ (a-p)x2 = 0 so that a-p+ b-q+c-r = 0…(1), a-p+ b-q = 0 …(2) and a-p = 0…(3).
As per the 3rd equation, a = p . On substituting a = p in the 2nd equation, we get b-q = 0 so that b = q. On substituting a-p+ b-q = 0 in the 1st equation, we get c-r = 0 or, c = r.
Hence X= Y.
Further, if X= Y, then a = p, b =q and c = r so that T(X) = T(Y) and, therefore, T(X_Y) = T(X)-T(Y) = 0. Hence X-Y is in ker(T).
(4.5). The columns of A are linearly independent . Hence T is one-to-one.
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