Problem Set 1 for MATH 110: Linear Algebra, Assignments of Linear Algebra

This is a problem set for math 110: linear algebra, consisting of 10 problems distributed in three parts. The problems cover various topics such as vector spaces, linear independence, and cross products. Part 2 includes a non-collaborative problem. Part 3 contains optional problems. The deadline for submission is friday, september 3.

Typology: Assignments

Pre 2010

Uploaded on 10/01/2009

koofers-user-f9i
koofers-user-f9i 🇺🇸

10 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Problem Set 1 (due Friday September 3)
MATH 110: Linear Algebra
PART 1
The following problems are each worth 5 points..
1. Curtis p. 14 1.
2. Curtis p. 15 4.
3. Curtis p. 25 3.
4. Curtis p. 33 3.
5. Curtis p. 37 4.
PART 2
Remember that the starred problem is non collaborative.
Problem 1 (5)
Let V=R+, the set of positive real numbers. Define the “sum” of two
elements x, y in Vto be their product xy (in the usual sense), and define
“multiplication of an element xin Vby a scalar cto be xc. Prove that Vis
a real linear space with 1 as the zero element.
Problem 2 (10)
Let Vbe the vector space of all real valued functions defined on the real
line (F(R)). Consider the nexponential functions:
u1(x) = ea1x, . . . , un(x) = eanx
where a1, a2, . . . , anare distinct real numbers. Show that these nfunctions
are independent.
Problem 3(5)
Curtis p. 26 10.
In order to do this problem you will have to read some definitions and theo-
rems in Curtis (3.7, 3.9, 3.10 and 3.11).
Problem 4 (15)
Let Vbe a finite dimensional vector space and let Sbe a subspace of V.
Prove each of the following statements:
a) Sis finite dimensional and dim S dim V .
b) dim S =dim V if and only if S=V.
c) Every basis for Sis part of a basis for V.
d) A basis for Vneed not contain a basis for S.
e) Is the union of two subspaces always a subspace? Explain.
1
pf2

Partial preview of the text

Download Problem Set 1 for MATH 110: Linear Algebra and more Assignments Linear Algebra in PDF only on Docsity!

Problem Set 1 (due Friday September 3) MATH 110: Linear Algebra

PART 1 The following problems are each worth 5 points..

  1. Curtis p. 14 1.
  2. Curtis p. 15 4.
  3. Curtis p. 25 3.
  4. Curtis p. 33 3.
  5. Curtis p. 37 4.

PART 2 Remember that the starred problem is non collaborative. Problem 1 (5) Let V = R+, the set of positive real numbers. Define the “sum” of two elements x, y in V to be their product xy (in the usual sense), and define “multiplication of an element x in V by a scalar c to be xc. Prove that V is a real linear space with 1 as the zero element. Problem 2 (10) Let V be the vector space of all real valued functions defined on the real line (F (R)). Consider the n exponential functions:

u 1 (x) = ea^1 x,... , un(x) = eanx

where a 1 , a 2 ,... , an are distinct real numbers. Show that these n functions are independent. Problem 3 ∗(5) Curtis p. 26 10. In order to do this problem you will have to read some definitions and theo- rems in Curtis (3.7, 3.9, 3.10 and 3.11). Problem 4 (15) Let V be a finite dimensional vector space and let S be a subspace of V. Prove each of the following statements:

a) S is finite dimensional and dim S ≤ dim V. b) dim S = dim V if and only if S = V. c) Every basis for S is part of a basis for V. d) A basis for V need not contain a basis for S. e) Is the union of two subspaces always a subspace? Explain.

PART 3 - Optional Problems

  1. Recall that the cross product of two vectors A and B in R 3 is defined by A × B =< a 2 b 3 − a 3 b 2 , a 3 b 1 − a 1 b 3 , a 1 b 2 − a 2 b 1 >

where A =< a 1 , a 2 , a 3 > and B =< b 1 , b 2 , b 3 >. Let i, j, k be the unit coordinate vectors in R 3. Notice that the cross product is not associative. For example,

i × (i × j) = i × k = −j but (i × i) × j = 0 × j = 0.

Thus, given k vectors v 1 , v 2 ,... , vk in R 3 , in order to make the expression

v 1 × v 2 × · · · × vk

well defined, it is necessary to insert parentheses to indicate the order of eval- uation. We will define an association to be an insertion of k − 2 parentheses so that the order of evaluation is determined. For example,

(v 1 × v 2 ) × (v 3 × v 4 ) and ((v 1 × v 2 ) × v 3 ) × v 4

are two different associations. Prove that if two associations of v 1 × v 2 × · · · × vk are given, there exists an assignment of i, j, k to v 1 , v 2 ,... , vk such that when evaluated with the assignment, the two associations are equal and nonzero (this means that you cannot set v 1 = v 2 = · · · = vk).