Exploring Basis Subsets in a 5-Element Vector Space

In summary: There are a lot of possible combinations and it's easy to overlook some or accidentally include duplicates. We have to be careful when determining all the subsets that form a basis of $V$. (Thinking) In summary, there are 33 possible subsets of $B\cup \{v_1, v_2, v_3\}$ that form a basis of $V$, including $B$ itself and sets where $v_1, v_2,$ or $v_3$ replace one or more elements of $B$. However, it is important to be careful and avoid mistakes when determining all the subsets.
  • #1
mathmari
Gold Member
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Hey! :eek:

Let $V$ be a vector space with with a 5-element basis $B=\{b_1, \ldots , b_5\}$ and let $v_1:=b_1+b_2$, $v_2:=b_2+b_4$ and $\displaystyle{v_3:=\sum_{i=1}^5(-1)^ib_i}$.

I want to determine all subsets of $B\cup \{v_1, v_2, v_3\}$ that form a basis of $V$.
Are the desired subsets the following ones?

- $B$
- $\{v_1, b_2, b_3, b_4, b_5\}$
- $\{v_1, b_1, b_3, b_4, b_5\}$
- $\{v_2, b_1, b_2, b_3, b_5\}$
- $\{v_2, b_1, b_3, b_4, b_5\}$
- $\{v_3, b_1, b_2, b_3, b_4\}$
- $\{v_3, b_1, b_2, b_3, b_5\}$
- $\{v_3, b_1, b_2, b_4, b_5\}$
- $\{v_3, b_1, b_3, b_4, b_5\}$
- $\{v_3, b_2, b_3, b_4, b_5\}$
- $\{v_1, v_2, b_2, b_3, b_5\}$ Are there also more sets? (Wondering)
 
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  • #2
Hey mathmari!

Yep. Those are all a basis of $V$.
And yes, there are more sets.
Currently you have all the ones with exactly one of $\{v_1,v_2,v_3\}$, but only those.
For starters, shouldn't $\{b_1, b_2, b_3, b_4, b_5\}$ be in the list?
And how about $\{v_1, v_2, b_1, b_3, b_5\}$? (Wondering)
 
  • #3
Klaas van Aarsen said:
Currently you have all the ones with exactly one of $\{v_1,v_2,v_3\}$, but only those.
For starters, shouldn't $\{b_1, b_2, b_3, b_4, b_5\}$ be in the list?

That is the set $B$, so I have added that one. (Thinking)
Klaas van Aarsen said:
And how about $\{v_1, v_2, b_1, b_3, b_5\}$? (Wondering)

The elements $b_1$ and $b_2$ can be replaced by $v_1$, the elements $b_2$ and $b_4$ can be replaced by $v_2$ and the all the elements $b_i$ can be replaced by $v_3$, right? (Wondering)

So, we get the following sets:

- $B=\{b_1, b_2, b_3, b_4, b_5\}$
- $\{v_1, b_2, b_3, b_4, b_5\}$
- $\{b_1, v_1, b_3, b_4, b_5\}$
- $\{b_1, v_2, b_3, b_4, b_5\}$
- $\{b_1, b_2, b_3, v_2, b_5\}$
- $\{v_3, b_2, b_3, b_4, b_5\}$
- $\{b_1, v_3, b_3, b_4, b_5\}$
- $\{b_1, b_2, v_3, b_4, b_5\}$
- $\{b_1, b_2, b_3, v_3, b_5\}$
- $\{b_1, b_2, b_3, b_4, v_3\}$
- $\{v_1, v_2, b_3, b_4, b_5\}$
- $\{v_1, b_2, b_3, v_2, b_5\}$
- $\{b_1, v_1, b_3, v_2, b_5\}$
- $\{v_1, v_3, b_3, b_4, b_5\}$
- $\{v_1, b_2, v_3, b_4, b_5\}$
- $\{v_1, b_2, b_3, v_3, b_5\}$
- $\{v_1, b_2, b_3, b_4, v_3\}$
- $\{v_3, v_1, b_3, b_4, b_5\}$
- $\{b_1, v_1, v_3, b_4, b_5\}$
- $\{b_1, v_1, b_3, v_3, b_5\}$
- $\{b_1, v_1, b_3, b_4, v_3\}$
- $\{v_3, v_2, b_3, b_4, b_5\}$
- $\{b_1, v_2, v_3, b_4, b_5\}$
- $\{b_1, v_2, b_3, v_3, b_5\}$
- $\{b_1, v_2, b_3, b_4, v_3\}$
- $\{v_3, b_2, b_3, v_2, b_5\}$
- $\{b_1, v_3, b_3, v_2, b_5\}$
- $\{b_1, b_2, v_3, v_2, b_5\}$
- $\{b_1, b_2, b_3, v_2, v_3\}$

I think I have now all the popssible sets, or not? (Wondering)
 
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  • #4
You have 29 sets, but I think there are 33. (Thinking)

I have:
\begin{align*}
\{b_1, b_2, b_3, b_4, b_5\} \\
\{v_1, b_1, b_3, b_4, b_5\} \\
\{v_1, b_2, b_3, b_4, b_5\} \\
\{v_1, v_2, b_1, b_3, b_5\} \\
\{v_1, v_2, b_2, b_3, b_5\} \\
\{v_1, v_2, b_3, b_4, b_5\} \\
\{v_1, v_2, v_3, b_1, b_3\} \\
\{v_1, v_2, v_3, b_1, b_5\} \\
\{v_1, v_2, v_3, b_2, b_3\} \\
\{v_1, v_2, v_3, b_2, b_5\} \\
\{v_1, v_2, v_3, b_3, b_4\} \\
\{v_1, v_2, v_3, b_3, b_5\} \\
\{v_1, v_2, v_3, b_4, b_5\} \\
\{v_1, v_3, b_1, b_3, b_4\} \\
\{v_1, v_3, b_1, b_3, b_5\} \\
\{v_1, v_3, b_1, b_4, b_5\} \\
\{v_1, v_3, b_2, b_3, b_4\} \\
\{v_1, v_3, b_2, b_3, b_5\} \\
\{v_1, v_3, b_2, b_4, b_5\} \\
\{v_1, v_3, b_3, b_4, b_5\} \\
\{v_2, b_1, b_2, b_3, b_5\} \\
\{v_2, b_1, b_3, b_4, b_5\} \\
\{v_2, v_3, b_1, b_2, b_3\} \\
\{v_2, v_3, b_1, b_2, b_5\} \\
\{v_2, v_3, b_1, b_3, b_4\} \\
\{v_2, v_3, b_1, b_4, b_5\} \\
\{v_2, v_3, b_2, b_3, b_5\} \\
\{v_2, v_3, b_3, b_4, b_5\} \\
\{v_3, b_1, b_2, b_3, b_4\} \\
\{v_3, b_1, b_2, b_3, b_5\} \\
\{v_3, b_1, b_2, b_4, b_5\} \\
\{v_3, b_1, b_3, b_4, b_5\} \\
\{v_3, b_2, b_3, b_4, b_5\} \\
\end{align*}
 
  • #5
Ahh ok! But the idea is the following, or not?

We consider the basis $B=\{b_1, b_2, b_3, b_4, b_5\}$. The vector $v_1$ replace each of the vectors $b_1$ and $b_2$, the vector $v_2$ can replace each of the vectors $b_2$ and $b_4$, the vector $v_3$ can replace each of the 5 vectors $b_1, b_2, b_3, b_4, b_5$, and the set that we get is again a basis since the elements remain linearly independent.

(Wondering)
 
  • #6
mathmari said:
Ahh ok! But the idea is the following, or not?

We consider the basis $B=\{b_1, b_2, b_3, b_4, b_5\}$. The vector $v_1$ replace each of the vectors $b_1$ and $b_2$, the vector $v_2$ can replace each of the vectors $b_2$ and $b_4$, the vector $v_3$ can replace each of the 5 vectors $b_1, b_2, b_3, b_4, b_5$, and the set that we get is again a basis since the elements remain linearly independent.

That sounds about right.
I also think that it's easy to make mistakes. (Worried)
 
  • #7
Klaas van Aarsen said:
I also think that it's easy to make mistakes. (Worried)

What do you mean? (Wondering)
 

1. What is a basis in linear algebra?

A basis in linear algebra refers to a set of linearly independent vectors that can be used to express any vector in a certain vector space. It forms the building blocks for the vector space and allows for the representation of all other vectors through linear combinations.

2. How do you determine if a set of vectors forms a basis?

A set of vectors forms a basis if they are linearly independent and span the entire vector space. This means that none of the vectors can be expressed as a linear combination of the others, and together they can represent any vector in the vector space.

3. Can a set of vectors form more than one basis?

No, a set of vectors can only form one basis for a given vector space. This is because any other set of vectors that can represent the same vector space would have to be linearly dependent on the original set, and therefore not a basis.

4. What is the minimum number of vectors required for a basis?

The minimum number of vectors required for a basis is equal to the dimension of the vector space. This means that for a 3-dimensional vector space, a basis would require 3 linearly independent vectors.

5. How can I find the basis for a given vector space?

To find the basis for a given vector space, you can use the process of Gaussian elimination to reduce a set of vectors to their reduced row echelon form. The non-zero rows in this form will form the basis for the vector space.

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