作者cokewolf (可乐狼)
看板NTU-Exam
标题[试题] 97下 电机系统一教学 线性代数 期中考
时间Wed Apr 22 18:50:52 2009
课程名称︰线性代数
课程性质︰必修
课程教师︰(统一教学)
开课学院:电资学院
开课系所︰电机系
考试日期(年月日)︰2009.04.22
考试时限(分钟):100 分钟
是否需发放奖励金:是
(如未明确表示,则不予发放)
试题 :
1.(28%) Label the following statements as being true or false.
(Explain your answer. Answers with no explanation get 0%):
(a) Let A be an m*n matrix with reduced row echelon form R.
Then there is a unique matrix P such that PA = R.
(b) If T is a linear transformation, then the dimension of the range
T plus the dimension of the null space of T equals the dimension
of the domain of T.
(c) If A is an n*n matrix and the system Ax = b is consistent for
every b, then A is invertible.
(d) Let S be a linearly independent subset of R^n and V be a
k-dimensional subspace of R^n. If S has k vectors, then S is a
basis of V.
(e) The vectors in the vector form of the general solution to Ax = 0
form a basis for the null space of A.
(f) Let V and W be two subspaces of R^2. V∪W is a subspace of R^2.
(g) The pivot columns of the reduced row echelon form of A form a basis
for the column space of A.
2.(15%) Find the determinant of the n*n matrix
┌ ┐
│ a+b ab 0 0 … 0 0 0 │
│ 1 a+b ab 0 … 0 0 0 │
│ 0 1 a+b ab … 0 0 0 │
A = │ … … … … … … … … │
│ 0 0 0 0 … 1 a+b ab │
│ 0 0 0 0 … 0 1 a+b │
└ ┘
3.(15%) Find an explicit description of the reflection T of R^2 about
the line with equation y = mx.
4. Let T and U be linear transformations with standard matrices A and
(A^T)A, respectively. Let T be onto.
(a)(7%) Show whether U is onto, on-to-one, or invertible.
(b)(7%) What is the dimension of the null space of U? Explain your answer.
5.(8%) Prove that for any m*n matrix A and any n*p matrix B,
rank AB ≦ rank A.
6. Let T be the linear opeartor on R^3 such that
┌ ┐ ┌ ┐ ┌ ┐ ┌ ┐ ┌ ┐ ┌ ┐
│1│ │1│ │ 0│ │ 2│ │-1│ │-1│
T(│0│) = │1│, T(│-1│) =│-1│, T(│ 1│) =│ 0│
│1│ │3│ │ 1│ │ 0│ │-1│ │-1│
└ ┘ └ ┘ └ ┘ └ ┘ └ ┘ └ ┘
┌ ┐ ┌ ┐ ┌ ┐
│1│ │1│ │3│
B = { │1│,│1│,│2│} is a basis for R^3.
│0│ │1│ │1│
└ ┘ └ ┘ └ ┘
(a)(10%) Find the B-matrix representation of T.
(b)(10%) Find a basis for the null space of T and represent it in
B-coordinate vectors.
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