Determining Vector Spaces: R^2 and M_2,2 Homework Solutions

In summary, to determine if the given sets R^2 and M_2,2 are vector spaces, the 10 axioms of vector spaces must be checked. While it is easy to see that pointwise addition is a simple procedure, this is not sufficient to prove that these sets are vector spaces. Each axiom must be analyzed and shown to hold in order to fully prove that they are vector spaces.
  • #1
joemama69
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Homework Statement


Determine if the following sets are vector spaces

Part A) R^2; u+v = (u1 + v1, u2 + v2); cu = (cu1,cu2)

part b) M_2,2

A + B = |(a_11 + b_11) (a_12 + b_12)| & cA = |ca_11 ca_12|
|(a_21 + b_21) (a_22 + b_22)| |ca_21 ca_22|

sorry this is a little crude but those are both suppose to be 2X2 matricies


Homework Equations





The Attempt at a Solution


Part A) Yes, it is a vector space because it follows the addition & multiplication properties of vector spaces

Part B) yes it is a vector space because the set is closed under matrix addition & sclar multiplication


Are these statements true and a sufficient answer
 
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  • #2
If they both are closed under scalar multiplication and addition, then you can conclude that they might be a subset of a given vector space. To check whether or not they are vector spaces, you have to go through the 10 axioms. Does it sound familiar?
 
  • #3
Your solution is not sufficient because you need to go through each and every vector space axiom to prove that it is in fact a vector space (and you need to show where only one axiom fails to prove it is not a vector space).

It is easy to see that pointwise addition is a simple procedure, but I think the point of the exercise is to go through the seven vector space axioms - many are trivial but as far as it stands now your answer is not sufficient.
 

FAQ: Determining Vector Spaces: R^2 and M_2,2 Homework Solutions

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of vectors and a set of rules for combining those vectors. These rules include vector addition and scalar multiplication, which must satisfy certain properties in order for the set to be considered a vector space.

2. How do you determine if a set of vectors forms a vector space?

In order for a set of vectors to form a vector space, the set must satisfy certain conditions. These conditions include closure under vector addition and scalar multiplication, as well as the existence of a zero vector and additive inverses for each vector in the set.

3. What is R^2 in the context of vector spaces?

In mathematics, R^2 (pronounced "R squared") refers to a two-dimensional vector space, also known as the Cartesian plane. It is composed of all ordered pairs of real numbers (x, y) and is commonly used to represent geometric concepts.

4. What is M_2,2 in the context of vector spaces?

In mathematics, M_2,2 represents the set of 2x2 matrices. It is a vector space because it satisfies the conditions of closure under addition and scalar multiplication, as well as the existence of a zero vector and additive inverses.

5. How do you solve homework problems involving vector spaces in R^2 and M_2,2?

To solve homework problems involving vector spaces in R^2 and M_2,2, it is important to first understand the rules and properties of vector spaces. Then, you can use these rules to determine if a set of vectors forms a vector space or to perform operations such as vector addition and scalar multiplication. It is also helpful to practice and familiarize yourself with the concepts through various examples and exercises.

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