Proving V1 is Not a Vector Space

AI Thread Summary
V1, defined as the span of vectors b1, b2, b3, and b4, is being examined to prove it is not a vector space. The closure properties of vector addition and scalar multiplication must be satisfied for V1 to qualify as a vector space. It is noted that the sum of certain vectors, specifically b3 and b4, does not belong to V1, indicating a failure of the closure property. Additionally, the discussion highlights confusion around the definition of span and the implications of linear independence among the vectors. Ultimately, the conclusion is reached that V1 does not meet the criteria to be classified as a vector space.
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Homework Statement



V1 is defined as the span of the vectors b1,b2,b3,b4

Prove that V1 is not a vector space.


Homework Equations



A set of axioms :
If u and v are tow vectors in the span of b1,b2,b3,b4 then:
1. u + v belongs to V1
2. ku also belongs to V1

The Attempt at a Solution


Don't know how to prove 1. wrong !
 

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hi hms.tech! :smile:
hms.tech said:
V1 is defined as the span of the vectors b1,b2,b3,b4

Prove that V1 is not a vector space.

i'm confused :redface:

i thought span is defined as the smallest vector subspace that (etc) :confused:

what definition of span have you been given?​
 
To prove that V_1 is a vector space, the two closure axioms must be satisfied, as stated in your relevant equations.
V_1= \left ( b_1,b_2,b_3,b_4 \right )
V_1= \left ( \begin{bmatrix}1 \\ 0 \\ 0\\0 \end{bmatrix}, \begin{bmatrix}1 \\ 1 \\ 0\\0 \end{bmatrix},\begin{bmatrix}1 \\ 1 \\1\\0 \end{bmatrix},\begin{bmatrix}1 \\ 1 \\ 1\\1 \end{bmatrix} \right )
According to the two properties:
1.\;b_1+b_2\not=b_3<br /> \\2.\;k\times b_1\not=b_2Also, if you write the 4 vectors as a matrix and reduce to its row echelon form, you will see that it has no free variables, meaning, all the 4 vectors are linearly independent.
 
I think i might have to rephrase the question. Becuase i think i interpreted it wrongly.
so again :

Here is the complete question :
 

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hms.tech said:
I think i might have to rephrase the question. Becuase i think i interpreted it wrongly.
so again :

Here is the complete question :

That's a completely different question from your post #1.V_1= \left ( \begin{bmatrix}1 \\ 0 \\ 0\\0 \end{bmatrix}, \begin{bmatrix}1 \\ 1 \\ 0\\0 \end{bmatrix},\begin{bmatrix}1 \\ 1 \\ 1\\0 \end{bmatrix} \right )= \begin{bmatrix}1 &amp; 1 &amp; 1 \\ 0 &amp; 1 &amp; 1 \\ 0 &amp; 0 &amp; 1\\ 0 &amp; 0 &amp; 0 \end{bmatrix}
V_2= \left ( \begin{bmatrix}1 \\ 0 \\ 0\\0 \end{bmatrix}, \begin{bmatrix}1 \\ 1 \\ 0\\0 \end{bmatrix},\begin{bmatrix}1 \\ 1 \\ 1\\1 \end{bmatrix} \right )= \begin{bmatrix}1 &amp; 1 &amp; 1 \\ 0 &amp; 1 &amp; 1 \\ 0 &amp; 0 &amp; 1\\ 0 &amp; 0 &amp; 1 \end{bmatrix}Note: vector spaces are sometimes called linear spaces.
 
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yes, i know that vector space is the same thing as a linear space, but again, how to we prove that V1 union V2 is not a vector space ?
 
hms.tech said:
how to we prove that V1 union V2 is not a vector space ?
V_1+V_2\not=kV_1\;or\;V_1+V_2\not=kV_2where k is a scalar multiple.
 
sharks said:
V_1+V_2\not=kV_1\;or\;V_1+V_2\not=kV_2where k is a scalar multiple.

what axiom is that, i can't recall any such axiom of a vector space ?
 
V_1\cup V_2 is the sum of all corresponding elements of V_1 and V_2. Therefore, it is V_1 + V_2.

The result of the vector addition, let's call it, V_3, is to be tested against the closure axioms to verify if it is a vector space of either V_1 or V_2.

Now, according to the closure axiom of scalar multiplication, if V_3 is a scalar multiple of V_1 or V_2, then the former is a vector space. You can get the answer easily from here.
 
  • #10
the simplest way is to find a in V1 and b in V2 such that a+b is not in V1 and is not in V2 :wink:

(and the simplest choices for a and b would be one 1 and three 0s)
 
  • #11
yeah i got it, thanks for the explanation. I took the vectors b3 and b4, added them together and proved that the resultant vector does not lie in v3.
 
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