Largest Possible Rank - Linear Algebra - Exam, Exams of Linear Algebra

This is the Exam of Linear Algebra which includes Largest Possible Rank, Matrix, Smallest, Possible Dimension, Matrix, Distance, Vector, Linear Transformation, Matrix etc. Key important points are: Largest Possible Rank, Matrix, Smallest, Possible Dimension, Matrix, Distance, Vector, Linear Transformation, Matrix, Polynomial

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2012/2013

Uploaded on 02/27/2013

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Math 205A Final Exam (75 points)
Name:
Check that you have 8 questions on four pages.
Show all your work to receive full credit for a problem.
1. (12 points) Short answers: (Show all the calculations to get the answers. No explanations
needed.)
(a) If Cis a 4 ×5 matrix, what is the largest possible rank of C? What is the smallest
possible dimension of Nul C?
(b) For a 3 ×3 matrix B, det B=1. Find det 4B.
(c) Find the distance between the vector ~u =3
1and the vector ~v =1
1.
(d) Let T:R3R2be the linear transformation given by
T(x1,x
2,x
3)=(x1x2,2x2x3).
Find a matrix Asuch that T(~x )=A~x.
pf3
pf4
pf5
pf8

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Math 205A Final Exam (75 points)

Name:

  • Check that you have 8 questions on four pages.
  • Show all your work to receive full credit for a problem.
  1. (12 points) Short answers: (Show all the calculations to get the answers. No explanations needed.)

(a) If C is a 4 × 5 matrix, what is the largest possible rank of C? What is the smallest possible dimension of Nul C?

(b) For a 3 × 3 matrix B, det B = −1. Find det 4B.

(c) Find the distance between the vector ~u =

[

]

and the vector ~v =

[

]

(d) Let T : R^3 → R^2 be the linear transformation given by

T (x 1 , x 2 , x 3 ) = (x 1 − x 2 , 2 x 2 − x 3 ).

Find a matrix A such that T (~x) = A~x.

(e) Let ~p 1 (t) = 1, ~p 2 (t) = 2t, ~p 3 (t) = 4t^2 − 2 and ~p 4 (t) = 8t^3 − 12 t. Then B ={~p 1 , ~p 2 , ~p 3 , ~p 4 }

is a basis for P 3. Find the polynomial ~q in P 3 , given that [q]B =

  1. (4 points) Suppose the columns of a 4 × 4 matrix A span R^4. Is det A = 0? Explain.

(c) W = {all symmetric matrices in M 2 × 2 }. (Recall that a symmetric matrix is a matrix A such that AT^ = A.)

  1. (5 points) Suppose A is a symmetric n × n matrix and B is any n × n matrix. Explain why BABT^ is orthogonally diagonalizable.
  1. (12 points) Define a linear transformation T : P 1 → R 2 by T (~p) =

[

~p(1) ~p(1)

]

. (Recall that a

vector ~p in P 1 is a polynomial of the form a + bt.)

(a) Find T (3) and T (2 − 7 t).

(b) Find a polynomial p in P 1 such that T (~p) =

[

]

or explain why we cannot find such a polynomial.

(c) Find a polynomial that spans the kernel of T. (Recall that the kernel of T is the space of all vectors that are mapped to the zero vector under T ,i.e., the kernel is the null space of T .)

(d) Is T one-to-one? Explain.

  1. (10 points) Hurricanes develop low pressure at their centers that generates high winds. The maximum wind speed s (in knots) and the central pressure p of a hurricane are approximately related by the equation b 0 + b 1 p = s. We have the following data on four recent Atlantic hurricanes in the United States.

p 905 920 960 990 s 130 110 80 60

Find b 0 and b 1 so that the model b 0 + b 1 p = s is a least-squares fit to the data. (Start by using the given data to write a system of linear equations to determine b 0 and b 1 .)

  1. (8 points) Let ~u 1 =

 (^) and ~u 2 =

. Let W = Span{~u 1 , ~u 2 } and ~y =

(a) The set {~u 1 , ~u 2 } is not an orthogonal set. Find two vectors in W that are orthogonal to each other and span W. (Use the vectors ~u 1 and ~u 2 to produce the two orthogonal vectors.)

(b) Find a vector in W that is closest to ~y.