Let V be an inner product space For a fixed nonzero vector v
     Let V be an inner product space. For a fixed nonzero vector v_0 in V, let T. V rightarrow R be the linear transformation T(v) = (v, v_0). Find the kernel, range, rank, and nullity of T.  Calculus Let B = {1, x, sinx, cos x} be a basis for a subspace W of the space of continuous functions, and let D_x be the differential operator on W. Find the matrix for D_x relative to the basis B. Find the range and kernel of D_x.  Writing Under what conditions are the spaces M_m, n and M_p, q isomorphic? Describe an isomorphism T in this case.  Calculus Let T: P_3 rightarrowP_3 be represented by T(p) = p(x) + p\'(x). Find the rank and nullity of T.  The Geometry of Linear Transformations in the Plane  In Exercises 73-78, identify the transformation and  graphically represent the transformation for an arbitrary vector in the plane.  T(x, y)=(x, 2y)  T(x, y)=(x + y, y)  T(x, y)=(x, y + 3x)  T(x, y)=(5x, y)  T(x, y)=(x + 2y, y)  T(x, y)=(x, x + 2y)  In Exercises 79-82, sketch the image of the triangle with vertices (0, 0), (1, 0), and (0, 1) under the given transformation.  T is a reflection in the x-axis.  T is the expansion represented by T(x, y) = (2x, y).  T is the shear represented by T(x, y) = (x + 3y, y).  T is the shear represented by T(x, y) = (x, y + 2x).  In Exercises 83 and 84, give a geometric description of the linear transformation defined by the matrix product.  [0 2  1 0] = [2 0  0 1] [0 1  1 0]  [1 0  6 2] = [1 0  0 2] [1 0  3 1]  Computer Graphics  In Exercises 85-88, find the matrix that will produce the indicated rotation and then find the image of the vector (1, - 1, 1).  45 degree about the z-axis  90 degree about the x-axis  60 degree about the x-axis  30 degree about the y-axis  In Exercises 89-92, determine the matrix that will produce the indicated pair of rotations.  60 degree about the x-axis followed by 30 degree about the z-axis 
  
  Solution
70.Let B={1,x,sinx,cosx} and w be a differential operator
Differentiate elements of B w.rt. x
d1/dx=0=1.0+x.0+0.sinx+0.cosx
dx/dx=1=1.1+0.x+0.sinx+0.cosx
d sinx/dx=cosx=1.0+x.0+0.sinx+1.cosx
d cosx/dx=-sinx=1.0+x.0+(-1)sinx+0.cosx
now take the coefficient of 1,x,sinx,cosx and arranged in a colomn we get required matrix.
The transpose of following matrix
[0,0,0,0;1,0,0,0;0,0,0,1;0,0,-1,0]
Reduced matrix into echelon form then column contains pivot elemnts is range spanned by vectors
Consider above augmented matrix [ Dx 0] and reduce into echelon form last we get system of linear equation
solution of system is basis for Kernel

