Linear Algebra Practice Problems

Click For Summary
SUMMARY

This discussion focuses on solving linear algebra problems related to Null Spaces, Row Spaces, and Column Spaces. The user successfully determined the dimensions and bases for various spaces using a given matrix and functions. Specifically, they found that the dimensions of the Column and Row Spaces are both 3, while the Null Space also has a dimension of 3. Additionally, they explored the dimensions of the Image and Null Space for a linear transformation involving trigonometric functions, concluding that both dimensions are 2.

PREREQUISITES
  • Understanding of linear algebra concepts such as Row Space, Column Space, and Null Space
  • Familiarity with linear transformations and their properties
  • Knowledge of trigonometric functions and their linear independence
  • Ability to express polynomial functions and their derivatives
NEXT STEPS
  • Learn about the Rank-Nullity Theorem in linear algebra
  • Study the properties of linear transformations in vector spaces
  • Explore methods for finding bases of vector spaces
  • Investigate the relationship between polynomial functions and their derivatives
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra, as well as anyone seeking to deepen their understanding of vector spaces and linear transformations.

kamui8899
Messages
15
Reaction score
0
I posted before about Null Spaces and, after some review, I think I have a grasp on it. However I have a few more general questions, so I thought I'd start a new thread (although there may be some redundancy)

Problem 1:
Find the dimension and a basis for the Row, Column, and Null Spaces.

1 0 0 (-5/36) (101/36) (-11/3)
0 1 0 (-1/9) (4/9) (2/3)
0 0 1 (5/6) (1/6) 0

The solution I arrived at was:

Dimension of Column and Row Spaces = 3
Dimension of the Null Space = 3

Basis for the Row Space (Above Matrix)
Basis for the Column Space:

1 0 0
0 1 0
0 0 1

Basis for the Null Space:
(-5/36) (101/36) (-11/3)
(-1/9) (4/9) (2/3)
(5/6) (1/6) 0
1 0 0
0 1 0
0 0 1

I was really just hoping someone could check this problem for me, as I think I did it right, but I'm not entirely sure.

Problem 2:
Find the Dimension of the Image and the Null Space, Find a Basis for the Image and the Null Space.

L: V -> V where L(f) = Second deriv(f) + f
Vector Space is spanned by Cos(x), Sin(x), xCos(x), xSin(x)

Ok, so I used those as my basis, and the transformed equations turn into:

Cos(x) = -sin(x) + sin(x), so it equals 0
Sin(x) = -cos(x) + cos(x), so this too equals 0
xsin(x) = cos(x) + cos(x) - xsin(x) + xsin(x) = 2cos(x)
xcos(x) = -sin(x) - sin(x) + xcos(x) - xcos(x) = -2sin(x)

Ok, so I got this far, since cos and sin are linearly independent of each other, the Dimension of the Image is 2, and the Dimension of the Null Space is 2 (we started with 4 linearly independent vectors). However, this is where I get confused, the basis for the image is:

2cos(x) 0
0 -2sin(x) (??)

and the basis for the Null Space is where 2cos(x) - 2sin(x) = 0? So, the null space is where Ax = b is Ax = 0, so the solution would be...??:

2cos(x) - 2sin(x) = 0
cos(x) - sin(x) = 0
cos(x) = sin(x)

Whenever Cos(x) is equivalent to sin(x)?? ... So my basis for the null space would be the two occasions within 6pi radians where cos(x) = sin(x)? How would I write this in matrix/vector notation?

Problem 3:

Find all solutions to the following linear problems:
All polynomials p in P^3 for which 2p(7) - 3p(6) = 14

So I set p(x) = a + bx + cx^2 + dx^3

I then did 2p(7) - 3p(6) = 14 and got:

a = 38d - 10c - 4b - 14

Ok, so there are 3 free variables, and one independent variable, so there are infinite solutions, however my question is how to write that. Basically I have to write this solution as an equation of vectors, which I am unsure how to do unless I can just write is as:

<38d - 10c -4b -14, b , c , d> --->
14<-1, 0, 0, 0> + b<-4, 1, 0, 0> + c<-10, 0, 1, 0> + d<38, 0, 0, 1> ?

Problem 4:
Last one!

Find all the solutions to the following linear equation:
All functions in V for which: second deriv(f) + f = 3sin(x), where V is the vector space defined in Problem 2 (see above).

We have a basis from before, that was figured out to be:

2cos(x) 0
0 2sin(x)

Here's what I did, I'm not entirely sure this makes sense.

We set the equation 2cos(x) - 2sin(x) = 3sin(x). So the equation has solutions whenever 2cos(x) = 5sin(x)

So the solutions would be all multiples of the appropriate x value for this (I used a calculator, got something like .38radians and 3.522 radians). This is all well and good, however, are these numbers what I was looking for, and furthermore, how do I write the solutions properly (in matrix/vector form or something like that).

I know I've been posting a lot, but I think I'm slowly piecing together the basics of linear algebra, thanks for all the help
 
Physics news on Phys.org
Basically I figured out the answer to question 1, however my main problem is finding out how to write the basis for problem 2 as vectors. That, and I'm still working on problems 3 and 4, any help is greatly appreciated!
 

Similar threads

Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
8
Views
2K
  • · Replies 24 ·
Replies
24
Views
5K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 10 ·
Replies
10
Views
3K
Replies
3
Views
2K
  • · Replies 40 ·
2
Replies
40
Views
6K