Hyperplanes H1 and H2 have dimensions p and q

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Discussion Overview

The discussion revolves around the dimensions of hyperplanes H1 and H2, which have dimensions p and q, respectively. Participants explore the question of what the smallest dimension of a hyperplane H3 must be to ensure it contains both H1 and H2. The conversation includes reasoning about vector spaces, bases, and the definitions of hyperplanes and linear manifolds.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the dimension of H3 should be p + q based on their reasoning about the bases of H1 and H2.
  • Others argue that the correct dimension is p + q + 1, as stated in the textbook, and question the reasoning behind the initial claim.
  • One participant suggests that the term "hyperplane" may refer to a "linear manifold" that can exist in various dimensions, not necessarily constrained to being (n-1)-dimensional.
  • Another participant emphasizes that if H1 has dimension p, it must reside in a p+1 dimensional vector space, and similarly for H2 with dimension q.
  • There is a contention regarding the interpretation of hyperplanes and whether they must intersect at the origin, with examples provided about skew lines in three dimensions.
  • Some participants express frustration over misunderstandings and misinterpretations of their statements, leading to a breakdown in communication.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the correct dimension for H3, with multiple competing views remaining regarding the definitions and implications of hyperplanes and their dimensions.

Contextual Notes

Participants discuss the implications of hyperplanes existing in higher-dimensional spaces and the potential confusion arising from different interpretations of the term "hyperplane." There are unresolved assumptions about the definitions and properties of hyperplanes and linear manifolds.

JG89
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This is a question in my textbook:

"The hyperplanes H1 and H2 have dimensions p and q, respectively. What is the smallest dimension which the hyperplane H3 must have in order to be sure to contain both H1 and H2?"

I reasoned it out like this.

A basis for H1 would be x1 + x2 +...+ xp

And a basis for H2 would be xp+1 + xp+2 +...+xq

So, a hyperplane which would contain all of these vectors would have the basis:

x1 + x2 +...+ xp + xp+1 +...+ xq

So its dimension would be p+q. However, the answer in the back of my book says the answer is p + q + 1. What is wrong with what I did?
 
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JG89 said:
This is a question in my textbook:

"The hyperplanes H1 and H2 have dimensions p and q, respectively. What is the smallest dimension which the hyperplane H3 must have in order to be sure to contain both H1 and H2?"

I reasoned it out like this.

A basis for H1 would be x1 + x2 +...+ xp

And a basis for H2 would be xp+1 + xp+2 +...+xq

So, a hyperplane which would contain all of these vectors would have the basis:

x1 + x2 +...+ xp + xp+1 +...+ xq

So its dimension would be p+q. However, the answer in the back of my book says the answer is p + q + 1. What is wrong with what I did?

In the given context, I'd say a hyperplane of vector space V, where dimV = n, is an (n-1)-dimensional linear manifold.
From here you should be able to arrive at the answer given in the back of the book.
 
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Saying that a hyperplane in V must have dimension n-1 would make the question non-sense: it would then make no sense to say H1 has dimension "p" and H2 has dimension "q" if they both must have dimension n-1.

I think here "hyperplane" just means a "linear manifold" mentioned by fopc, of any dimension: start with a subspace and add some fixed vector, not in the subspace, to every vector. In 3 dimensions, for example, a plane, NOT containing the origin, is a linear manifold but not a subspace. In that case, we cannot talk about a "basis" for a hyperplane.

We can "move" the hyperplane to the origin: choose any vector in the hyperplane and subtract it from each vector in the hyperplane, reversing the "add some fixed vector" I mentioned above.

For example, in 3 dimensions, we can think of two skew lines as linear manifolds so p= q= 1. (If we were talking about subspaces, we would have to have two lines intersecting at the origin so they couldn't be skew.) That will require 3 dimensions to include both, not just 2.
 


HallsofIvy said:
Saying that a hyperplane in V must have dimension n-1 would make the question non-sense: it would then make no sense to say H1 has dimension "p" and H2 has dimension "q" if they both must have dimension n-1.

[snip]

I said nothing of the sort.

Nobody said (or even suggested) "they both must have dimension n-1".

I suggest you try reading the post again--carefully this time.

If he's given that one hyperplane has dimension p, then clearly it resides in a p+1 dimensional vector space. That would clearly follow from what I *did* say in my post.
Same for q, it sits in a q+1 dimensional vector space.
From this he should be able to see how to proceed.

EDIT: Forget it. I can see this is a waste of time. Adios.
 
Last edited:


fopc said:
I said nothing of the sort.

Nobody said (or even suggested) "they both must have dimension n-1".

I suggest you try reading the post again--carefully this time.

If he's given that one hyperplane has dimension p, then clearly it resides in a p+1 dimensional vector space. That would clearly follow from what I *did* say in my post.
Same for q, it sits in a q+1 dimensional vector space.
From this he should be able to see how to proceed.

EDIT: Forget it. I can see this is a waste of time. Adios.
Then they both must be in some higher dimensional space, which is what I said. I don't see how arguing about some "p+1 dimensional space" helps.
 


HallsofIvy said:
Saying that a hyperplane in V must have dimension n-1 would make the question non-sense: it would then make no sense to say H1 has dimension "p" and H2 has dimension "q" if they both must have dimension n-1.

I think here "hyperplane" just means a "linear manifold" mentioned by fopc, of any dimension: start with a subspace and add some fixed vector, not in the subspace, to every vector. In 3 dimensions, for example, a plane, NOT containing the origin, is a linear manifold but not a subspace. In that case, we cannot talk about a "basis" for a hyperplane.

We can "move" the hyperplane to the origin: choose any vector in the hyperplane and subtract it from each vector in the hyperplane, reversing the "add some fixed vector" I mentioned above.

For example, in 3 dimensions, we can think of two skew lines as linear manifolds so p= q= 1. (If we were talking about subspaces, we would have to have two lines intersecting at the origin so they couldn't be skew.) That will require 3 dimensions to include both, not just 2.

Thanks. I get it now.
 

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