Proving That Any Vector in a Vector Space V Can Be Written as a Linear Combination of a Basis Set

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Homework Help Overview

The discussion revolves around proving that any vector in a vector space V can be expressed as a linear combination of a basis set for that space. The subject area is linear algebra, specifically focusing on vector spaces and the concept of bases.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants express uncertainty about how to begin the proof and mention attempts such as proof by contradiction. There is a focus on defining key terms like "basis" and "dimension," with questions raised about the implications of linear independence in relation to the basis.

Discussion Status

The discussion is ongoing, with participants seeking clarification on definitions and exploring the implications of their understanding. Some guidance has been offered regarding the definitions of basis and dimension, but no consensus or resolution has been reached yet.

Contextual Notes

Participants are working under the constraints of using specific rules outlined in a provided link and are grappling with the definitions and implications of linear independence in the context of their proof.

kregg87
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Homework Statement


Show that any vector in a vector space V can be written as a linear combination of a basis set for that same space V.

Homework Equations


http://linear.ups.edu/html/section-VS.html
We are suppose to use the 10 rules in the above link, plus the fact that if you have a lineraly independent set
{X1,X2,...,Xn} then -> c1X1+c2X2+...+cnXn = 0 vector implies that all the constants (c1,c2, etc) are zero.

Not looking for a complete solution, just not sure where to start. I've tried proof by contradiction and a couple other ways and non have worked out for me.

The Attempt at a Solution

 
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kregg87 said:

Homework Statement


Show that any vector in a vector space V can be written as a linear combination of a basis set for that same space V.

Homework Equations


http://linear.ups.edu/html/section-VS.html
We are suppose to use the 10 rules in the above link, plus the fact that if you have a lineraly independent set
{X1,X2,...,Xn} then -> c1X1+c2X2+...+cnXn = 0 vector implies that all the constants (c1,c2, etc) are zero.

Not looking for a complete solution, just not sure where to start. I've tried proof by contradiction and a couple other ways and non have worked out for me.

The Attempt at a Solution


Define "basis". (I know the usual definition, but what is the one YOU are using?)
 
Ray Vickson said:
Define "basis". (I know the usual definition, but what is the one YOU are using?)
My definition is a linearly independent set of N vectors, where N in the dimension of the space. My definition of dimension, N, is it the max number of mutually lineraly independent vectors possible.
 
kregg87 said:
My definition is a linearly independent set of N vectors, where N in the dimension of the space. My definition of dimension, N, is it the max number of mutually lineraly independent vectors possible.
So what can you say about a given vector? Can it be linearly independent from your basis? Or otherwise, what does it mean it can't?
 

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