Material to know

  1. Coordinate with respect to a basis

  2. Matrix of change of a basis

  3. matrix of a linear transformation with respect to the given basis

  4. Two matrices are similar

  5. dimension of a liner space, subspace

  6. Linear transformation:

    1. what is linear transformation ?

    2. Nullity

    3. Rank

    4. Kernel

    5. Image

    6. Rank-Nullity Theorem

    7. isomorphism

  7. Comfortable with linear spaces

    1. spaces of polynomials, P_1, P_2, P_3 and its subspaces

    2. Spaces of matrices such as R2x2 and Subspaces of R2x2 such as

        1. the set of all upper triangular matrices,

        2. diagonal matrices,

        3. the set of matrices whose determinant is 0,

    3. basis, coordinate of a vector with respect to the given basis

    4. linear transformation and its matrix

  8. Properties of determinant

    1. Linearity in its columns

    2. Determinant of the identity matrix In is 1.

    3. Change in determinant with regards to elementary row operations, and column operations

    4. Cramer's Rule for a solution for Ax=b

    5. Volume of a parallelepiped

    6. For nxn matrix A, the following are equivalent

      1. Determinant of A is non-zero,

      2. RREF is the identity,

      3. non-singular matrix,

      4. solution to Ax=0 has a unique solution(trivial), Ker(A)={0}

      5. Columns of A are linearly independent

      6. Rows of A are linearly independent




Sample Questions


  1. Textbook Section 3.4: #28, 44, 16, 56

  2. Section 4.1:4, 6, 16,18

    1. For #18 Find at least two basis for P_3

  3. Section 4.2: #6,52

  4. Section 4.3: 1 , 6, 20

  5. Section 6.1: 39,

  6. Section 6.2: #47 If the answer is yes, is T determinant map?

    What condition does it violate to be a determinant?

    #59. Hint: Consider the case when det =0.

  7. Section 6.3: 224,

  8. True False Chapter Tests

  9. Web6, Web7, Web8

  10. Consider P_2 the space of polynomials with degree <=2. Consider the linear map T:P_2 ----> P_2 defined by T(f(t))=f(t+1). Find the matrix of T with respect to the basis of B=(1,1+t,1+t+t2)

  11. Solution will be out soon.