Math 205B&C Final Exam - Parabolas and Linear Equations, Exams of Linear Algebra

The final exam for math 205b&c, focusing on parabolas, linear equations, and matrix algebra. Students are required to find the coefficients of parabolas, determine why certain data points do not belong to a parabola, find the best fit parabola using least-squares method, and analyze the null space and eigenvalues of a matrix. The document also includes problems on finding a basis, writing vectors as linear combinations, and verifying if vectors are perpendicular.

Typology: Exams

2012/2013

Uploaded on 02/27/2013

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Math 205B&C Name Final Exam page 0. 04/16/09
Useful Information for problem 3
[A|I5] =
1 1 2 3 10 18 1 0 0 0 0
5 12 10 15 50 146 0 1 0 0 0
3 6 6 9 30 78 0 0 1 0 0
5 10 9 13 46 124 0 0 0 1 0
5 11 8 11 42 126 0 0 0 0 1
1001 2 2 0 0 19/3 6 2
0 1 0 0 0 8 0 0 5/32 1
0 0 1 2 4 6 0 0 5/31 0
0 0 0 0 0 0 1 0 4/32 1
0 0 0 0 0 0 0 1 5 4 2
AT=
1 5 3 5 5
1 12 6 10 11
2 10 6 9 8
3 15 9 13 11
10 50 30 46 42
18 146 78 124 126
1 0 6/7 0 15/7
0 1 3/7 0 4/7
0 0 0 1 2
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
pf3
pf4
pf5

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Useful Information for problem 3

[A|I 5 ] =

AT^ =

1a. The points (1, 11), (2, 10), (4, 14) and (5, 19) do all belong to a parabola of the form β 2 x^2 + β 1 x + β 0. Find β 2 , β 1 and β 0 by setting up and solving an appropriate system of linear equations.

1b. The data points gathered in a lab experiment were supposed to lie on a parabola of the form β 2 x^2 + β 1 x + β 0. The points were (1, 12), (2, 9), (4, 19) and (5, 22). Show why there can be no such parabola.

1c. Find the best fit (least-squares) parabola of the form β 2 x^2 + β 1 x + β 0 for the data points in (1b). Show all your work.

  1. Suppose that M is a 3 by 3 matrix and

 (^) is in its null space.

Suppose also that both

 (^) and

 (^) satisfy Mx = 4x.

2a. What is the dimension of the eigenspace corresponding to λ = 4? Explain.

2b. What is the characteristic polynomial of M?

2c. Find M (Hint: first find “P and D” as in the diagonalization theorem. Show P and D as part of your work).

  1. Let A =

; see the useful information on page 0.

Label the six columns of A as a 1 ,... , a 6. In your answers, wherever possible, use the “a 1 ,... , a 6 ” notation instead of explicitly writing out the column vectors. 3a. Find a basis B for Col(A).

3b. Write a 6 as a linear combination of the basis vectors in B.

3c. Let R be the reduced row echelon form (RREF) of A. Is the first column of R in Col(A)? Explain how you know. (Hint: Try to express that first column as a linear combination of the members of B). Does Col(A) = Col(R)? Explain.

3d. Find all solutions of Ax = a 6 expressed in the form p+vh where p is a particular solution of Ax = a 6 and vh is all solutions of the corresponding homogeneous equation Ax = 0. (Note: the information on page 0 should be sufficient; you shouldn’t need to do any additional row reductions)

  1. Let F be the vector space of continuous functions f : R → R as discussed in class. Let H = {f ∈ F | if a < b then f(a) ≤ f(b)}.

5a. Which of the following functions is in H? (Circle them)

u 1 = ex^ u 2 = x^2 + 1 u 3 = 3

x

5b. Is the zero-vector of F in H? Explain.

5c. Is H closed under vector addition? Show why or give a counterexample.

5d. Is H closed under scalar multiplication? Show why or give a counterexample.

  1. Suppose that V and W are vector spaces and T : V → W. What does it mean to say T is a linear transformation?