Does adding vectors to a basis in R^n always result in a dependent set?

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Homework Help Overview

The discussion revolves around the properties of vector sets in R^n, particularly focusing on linear dependence and independence when adding vectors to a basis. Participants explore the implications of having more vectors than the dimension of the space and the conditions under which a set of vectors can be independent or dependent.

Discussion Character

  • Conceptual clarification, Assumption checking, Exploratory

Approaches and Questions Raised

  • Participants discuss the relationship between linear combinations and independence among vectors, questioning whether a set can remain independent when additional vectors are included. They also explore the implications of having more vectors than the dimension of the space and the conditions for spanning R^n.

Discussion Status

The conversation is active, with participants providing insights and questioning assumptions about vector independence and spanning. Some guidance has been offered regarding the nature of spanning sets and dependence, but no consensus has been reached on the implications of adding vectors to a basis.

Contextual Notes

There is an ongoing discussion about the definitions of independence and spanning in relation to the dimensionality of R^n, with some participants suggesting that certain conditions must be met for a set of vectors to be considered independent.

nhrock3
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A={a1,a2,..ak}
is a group of vectors which is dependent on R^n k>=2

1.
if a1 is a linear combination of a2..ak then
a2..ak is independent
?
i think it doesn't because inside a2..ak we could have another vector which is dependent on the others

2.if k>n then A create R^n

i think it does because the numbe of vectors is bigger then n
so i will create R^n
 
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for 1. yes, that's true.

for 2. you probably meant, do they "span" R^n. In this case, look at R^3, for example, and take the set {(1, 0 ,0), (2, 0, 0), (3, 0, 0), (4, 0, 0)}. k > n, and do they span R^3?
 
thanks
so we need to demand independent group of vectors
?
 
If your number of vectors is greater than the dimension of the space, they can't possibly be independent.
 
but inside this big k group could be "n" vectors which are independent
and they will span R^n
 
Of course, spanning is another issue.

For example, if you take any basis for R^n, and add some vectors to it, the resulting set of vectors will be dependent, and it will still span R^n.
 

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