Do Equal Dimension Subspaces Imply Equality?

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In summary: This is because every vector in A is also in B since A is a subspace of B. Additionally, since A and B have the same dimension, their basis will contain the same number of vectors, making them equivalent. Therefore, we can conclude that A=B. In summary, if two subspaces A and B contained in a finite vector space V have the same dimension, and one is a subspace of the other, then A and B are equal since they have the same number of linearly independent vectors in their basis and can both be spanned by a single set of standard vectors in V.
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pivoxa15
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A and B are two subspaces contained in a finite vector space V and

dimA = dimB

Can we conclude A=B?

In that subspaces A and B are really the same subspace and every element in one is in the other?

I think yes because if dimA=dimB then their basis will contain the same number of vectors. These vectors span their respective subspaces. Given that each basis set contain an equal number of linearly indepedent vectors, they can be reduced to the standard vectors in V. Hence both spaces can be spanned by a single set of standard vectors in V so space A=B.
 
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If V has dimension greater than 1, then it has at least 2 independent vectors- that is it has a basis {v1, v2,...}.

Let A be the subspace spanned by v1 and let B be the subspace spanned by v2 so that they both have the same dimension, 1. Are A and B equal? That is, do they contain exactly the same vectors?

Here's your reasoning error: " Given that each basis set contain an equal number of linearly indepedent vectors, they can be reduced to the standard vectors in V."
That's not true. In the xy-plane, the x-axis is the subspace spanned by i and y is the subspace spanned by j. Yes, they can be reduced to the "standard" vectors in V but not the same standard vectors. Even more, the line y= x is a subspace, spanned by the single vector i+ j. It's basis cannot be reduced to a subset of the standard vectors.
 
  • #3
I see what you are getting at. What about if I add that A is a subspace of B. And if dimA = dimB than A=B.
 
  • #4
Yes, if A is a subspace of B and has the same dimension, then A= B.
 

FAQ: Do Equal Dimension Subspaces Imply Equality?

What is Equal Subspace A & B?

Equal Subspace A & B is a mathematical concept in linear algebra that refers to two subspaces having the same dimensions and containing the same set of vectors.

What does it mean for A and B to be equal subspaces?

If A and B are equal subspaces, it means that they have the same number of dimensions and share the same set of vectors. This also means that any vector in A can be written as a linear combination of vectors in B, and vice versa.

How can you prove that A and B are equal subspaces?

To prove that A and B are equal subspaces, you can show that they have the same number of dimensions and that any vector in one subspace can be written as a linear combination of vectors in the other subspace. You can also use the fact that the intersection of two subspaces with the same dimensions is equal to both subspaces.

What is the significance of equal subspaces in linear algebra?

Equal subspaces are important in linear algebra because they allow us to determine whether two subspaces are equivalent or not. They also help in understanding the relationship between different subspaces and how they can be transformed using linear transformations.

What are some real-world applications of equal subspaces?

Equal subspaces have various applications in fields such as computer graphics, data analysis, and machine learning. In computer graphics, equal subspaces are used to transform images and objects. In data analysis, they are used to analyze and compare different datasets. In machine learning, equal subspaces help in identifying patterns and making predictions based on data.

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