Does the Vector Space Axiom Hold for V with Given Conditions?

In summary, the conversation is about determining whether a collection of 2*3 matrices with real entries, denoted as V, satisfies the vector space axiom for all α ε V. The vector space axiom in question is that for every vector α, there exists a negative vector (-α) such that α + (-α) = 0 vector. The matrices in V must have the property that the sum of the first and third entries equal 1 for them to satisfy this axiom. However, the individual steps to solve this problem have not been provided and the poster has been reminded to attempt the problem themselves and show their work.
  • #1
Rigid@motion
2
0
let V be the collection of the 2*3 matrices with a real entries such that
V={[a11 a12 a13 : a21 a22 a23] | a11+a23 =1}
determine whether the following vector space axioms holds
(a) for all α ε V there exists (-α) such that α + (-α)=0(vector)
 
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  • #2
Rigid@motion said:
let V be the collection of the 2*3 matrices with a real entries such that
V={[a11 a12 a13 : a21 a22 a23] | a11+a23 =1}
determine whether the following vector space axioms holds
(a) for all α ε V there exists (-α) such that α + (-α)=0(vector)
please help
 
  • #3
Wow! You waited a whole 12 minutes before "bumping"! I would think that when you read through the information that you had to say you had read when you registered here, you would have seen that bumping, even after days, is prohibited and can get you barred.

Also in those same documents you said you read, you are told that anything that looks like school work or homework- which this certainly is- you must make an attempt to do the problem yourself and show your work.

I will move this the homework section and give you 24 hours to post what you have tried on this yourself. If you have not put anything up by that time, I will delete this thread.

(If you know the definitions of "0 vector" and "additive inverse" ("negative") of a vector, this problem should be easy. If you don't know those definitions, the first thing you should have done was look them up.)
 
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What is elementary linear algebra?

Elementary linear algebra is a branch of mathematics that deals with the study of linear equations, vectors, matrices, and their properties. It is an essential tool for solving problems in various fields such as physics, engineering, computer science, and economics.

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The basic concepts in elementary linear algebra include vector spaces, linear transformations, matrices, determinants, and systems of linear equations. These concepts are used to solve problems involving linear relationships between variables.

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What are the key properties of elementary linear algebra?

Some of the key properties of elementary linear algebra include commutativity, associativity, distributivity, and invertibility. These properties hold true for the fundamental operations and are essential for solving problems in linear algebra.

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