Linear Combination - Linear Algebra - Exam, Exams of Linear Algebra

This is the Exam of Linear Algebra which includes Perpendicular Distance, Cartesian Equation, Plane Perpendicular, Plane, Reduced Echelon, Invertible Matrix, Dimension, Matrix, Standard Basis etc. Key important points are: Linear Combination, Vectors, Linearly Independent, Inverse, System Of Equations, Subspace, Basis, Respect, Domain, System Of Equations

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2012/2013

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LANCASTER UNIVERSITY
2009 EXAMINATIONS
PART II (Second Year)
MATHEMATI C S & S TAT I S T I C S 2 hours
Math 220: Linear Algebra
You should answer ALL Section A questions and THREE Section B questions.
In Section A there are questions worth a total of 50 marks, but the maximum mark that you can
gain there is capped at 40.
SECTION A
A1. Show that the vectors (1,1,1), (0,1,3) and (1,1,1) are linearly independent, and express
(3,2,2) as a linear combination of them. [5]
A2. Let
A=
011
110
232
.
(i) Find the inverse of A.[6]
(ii) Hence solve the system of equations
y+z=2
x+y=1
2x+3y+2z=2,
and CHECK your answer. [4]
A3. Let W={(x1,x
2,x
3,x
4):x3=x12x2,x
4=x2+3x1}.
(i) Prove that Wis a subspace of R4[6]
(ii) Find a basis for W.[4]
please turn over
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LANCASTER UNIVERSITY

2009 EXAMINATIONS

PART II (Second Year)

MATHEMATICS & STATISTICS 2 hours

Math 220: Linear Algebra

You should answer ALL Section A questions and THREE Section B questions.

In Section A there are questions worth a total of 50 marks, but the maximum mark that you can

gain there is capped at 40.

SECTION A

A1. Show that the vectors (1, 1 , −1), (0, 1 , 3) and (1, − 1 , 1) are linearly independent, and express

(3, 2 , 2) as a linear combination of them. [5]

A2. Let

A =

(i) Find the inverse of A. [6]

(ii) Hence solve the system of equations

y + z = 2

x + y = 1

2 x + 3 y + 2 z = 2,

and CHECK your answer. [4]

A3. Let W = {(x 1 , x 2 , x 3 , x 4 ) : x 3 = x 1 − 2 x 2 , x 4 = x 2 + 3x 1 }.

(i) Prove that W is a subspace of R

4 [6]

(ii) Find a basis for W. [4]

please turn over

SECTION A continued

A4. Let T : R

2 → R

2 be given by

T ((x, y)) = (4x − 5 y, 3 x + 4y).

(i) Prove that T is a linear transformation. [3]

(ii) Find the matrix of T with respect to the basis (1, −1), (1, 1) in both the domain and the

codomain. [3]

(iii) Find the inverse of T. [4]

A5. By calculating the ranks of two matrices, show that the system of equations below is incon-

sistent.

2 x − y + 3 z = 1

x + 2 y − z = − 3

3 x − 4 y + 7 z = 2.

[5]

A6. Let

A =

Given that A has eigenvalues 0, 1 , 6 with corresponding eigenspaces E(0) = sp{(1, − 2 , 1)},

E(1) = sp{(2, 1 , 0)}, E(6) = sp{(− 1 , 2 , 5)}, write down an orthogonal matrix P and a

diagonal matrix D such that D = P

T AP. [5]

A7. Let P be the Euclidean space of all polynomial functions with real coefficients and with inner

product defined by 〈p, q〉 =

0 p(x)q(x)dx.

(i) Find the length of p(x) = 2x + 1. [2]

(ii) Find the distance between q(x) = 2x

2

  • x + 1 and r(x) = x

2

    1. [3]

please turn over

SECTION B continued

B3. (i) (a) Explain what is meant by two square matrices A, B being similar. [1]

(b) Prove that similar matrices have the same characteristic polynomial. [4]

(ii) Let

A =

(a) Determine the eigenvalues of A. [4]

(b) Determine the eigenspaces of A. [7]

(c) Write down a basis for R

3 consisting of eigenvectors of A. [2]

(d) Write down an invertible matrix P and a diagonal matrix D such that P

− 1 AP = D. [2]

B4. Let V be a Euclidean space with inner product 〈 , 〉. Prove that

(i) ||x + y|| ≤ ||x|| + ||y|| for all x, y ∈ V (you may use without proof that |〈x, y〉| ≤

||x||.||y||); [5]

(ii) ||x + y||

2

  • ||x − y||

2 = 2(||x||

2

  • ||y||

2 ) for all x, y ∈ V ; [3]

(iii) 〈x, y〉 = 0 implies that ||x||

2

  • ||y||

2 = ||x + y||

2 for all x, y ∈ V ; [1]

(iv) if e 1 ,... , en is an orthonormal basis for V and x ∈ V then

x = α 1 e 1 +... αnen where αi = 〈x, ei〉, and

||x||

2 = αα

T where α = (α 1 ,... , αn); [7]

(v) if T : V → V is a Euclidean transformation, then 〈T (x), T (y)〉 = 〈x, y〉 for all x, y ∈ V. [4]

end of exam