Vector space has dimension less than d

In summary, the problem asks to show that the vector space V, spanned by d elements, has dimension strictly less than d. The question provides a hint to show that the generators of V are not linearly independent. The space is not the rational numbers, but rather Q-linear combinations of powers of roots of unity.
  • #1
UOAMCBURGER
31
1

Homework Statement


Problem given to me for an assignment in a math course. Haven't learned about roots of unity at all though. Finding this problem super tricky any help would be appreciated. Screenshot of problem below.
[/B]

53532448_2316637415042677_8609507793054990336_n.png?_nc_cat=110&_nc_ht=scontent.fhlz2-1.png


Homework Equations


Unsure of relevant equations

The Attempt at a Solution


so far i am just trying to understand what the question is asking me to do, i am showing that the vector space V, which is just the rational numbers over the field Q? has dimension strictly less than d, where d is >= 1?[/B]
 

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  • #2
The vector space ##V## is spanned by ##d## elements. Therefore, its dimension is at most ##d##. The question asks you to show that the generators are not linearly independent, which means you can remove one of the generators of ##V## such that the remaining generators still span ##V##. It will then follow that the soace has dimension ##d-1##.

The question gives a hint how to show that the generators are not linearly independent.

Also, the space is not the rational numbers.

It are ##\mathbb{Q}##-linear combinations of powers of roots of unity.
 

1. What does it mean for a vector space to have dimension less than d?

When we say that a vector space has dimension less than d, it means that the maximum number of linearly independent vectors that can span the vector space is less than d. In other words, the vector space does not have enough basis vectors to fully describe all possible vectors within it.

2. How is the dimension of a vector space determined?

The dimension of a vector space is determined by the number of linearly independent vectors that can span the vector space. This means that the dimension can vary depending on the choice of basis vectors. However, the maximum number of linearly independent vectors that can span the vector space is always the same and is known as the dimension of the vector space.

3. Can a vector space have a dimension of 0?

No, a vector space cannot have a dimension of 0. This is because a vector space, by definition, must contain at least one non-zero vector. Therefore, the dimension of a vector space must be at least 1.

4. How does the dimension of a vector space affect its properties?

The dimension of a vector space affects its properties in several ways. For example, the dimension determines the number of basis vectors needed to fully describe the vector space, the number of coordinates needed to uniquely represent a vector, and the number of degrees of freedom in the vector space.

5. Can a vector space have a dimension greater than the number of its elements?

Yes, a vector space can have a dimension greater than the number of its elements. This is because the dimension of a vector space is determined by the number of linearly independent vectors that can span the vector space, not the number of elements it contains. Therefore, a vector space can have a dimension greater than its number of elements if the elements are not linearly independent.

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