Linear Dependence of Vectors in R3: Exploring Why S is Not a Basis

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In summary, the sets S={(1,2,-1),(0,0,0),(1,0,1)} and S={(2,4,5),(-1,3,6),(7,7,9),(-4,2,-4)} are not bases for R^3 because they both contain linearly dependent vectors. The number of linearly independent vectors in a set is related to the rank of the set. A set is not a basis if it does not satisfy the definition of a basis, which includes being linearly independent.
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Homework Statement


4) explain why S is not a basis for R^3
(a) S={(1,2,-1),(0,0,0),(1,0,1)}
(b) explain why S is not a basis for R^3
S={(2,4,5),(-1,3,6),(7,7,9),(-4,2,-4)}


Homework Equations

all proofs

The Attempt at a Solution



(a)**The set S is a set with the 0 vector, (0,0,0). Such a set is always dependant and can therefore never be a basis for R3.

The set without the zero vector S={(1,2,-1),(1,0,1} is also no basis for R3, it contains less vectors than the dimension of R3 (which is 3).

(b)**To have a bas you need only 3 vectors by having 4 that makes this system linearly dependent and there for it doesn't represent a base.. to make it a base one has to be eliminated and check if they have linear independency


"" is there a better more elegant answer, by justifying an Axion or a theorem" my teacher is so hard" thanks guys
 
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Ahh, teachers :)

Okay, search for what "rank" means if you already don't know, then relate the number of linearly independent vectors in S to the rank of S (smaller, larger, equal...). This would be the elegant way of explaining it :)
 
  • #3
will said:
"" is there a better more elegant answer, by justifying an Axion or a theorem" my teacher is so hard" thanks guys

The answers are elegant enough, it's just using definitions of "basis", "span", etc.
 
  • #4
Did your teacher ask for a "more elegant" way? In each case you have said that the set of vectors is not a basis because it is not linearly independent. That's showing that the definition of "base" is not satisfied and is plenty "elegant".
(Of course, you do not need the other comments on "The set without the zero vector" and " to make it a base one has to be eliminated and check if they have linear independency" because those questions were not asked.)
 

FAQ: Linear Dependence of Vectors in R3: Exploring Why S is Not a Basis

Why is S not a basis for R3?

The set S is not a basis for R3 because it does not satisfy the three criteria for a basis: linear independence, span, and dimensionality.

What is linear independence?

Linear independence means that none of the vectors in a set can be written as a linear combination of the others. In other words, no vector in the set is redundant or can be expressed as a combination of other vectors.

How does S fail to satisfy the span criterion for a basis?

The span criterion states that every vector in the vector space must be able to be written as a linear combination of the vectors in the set. If even one vector cannot be expressed as a linear combination of the vectors in S, then it is not a basis for R3.

Can S still be a basis for R3 if it is not linearly independent?

No, if S is not linearly independent, it cannot be a basis for R3. This is because linear independence is one of the fundamental criteria for a set to be a basis. If S is not linearly independent, then it violates this criterion and cannot be considered a basis.

Why is it important for a basis to have a specific dimensionality?

The dimensionality of a basis must match the dimensionality of the vector space it is spanning. In the case of R3, which is a three-dimensional space, the basis must also have three linearly independent vectors. This ensures that the basis can accurately represent all vectors in the vector space.

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