Continuity in Normed Vector Spaces

In summary, the conversation discusses proving the continuity of a linear transformation from a finite-dimensional real normed vector space to another real normed vector space. The conversation touches upon using the Euclidean norm and the compactness of the unit sphere, as well as the fact that all norms on a finite-dimensional vector space are equivalent. The conversation concludes with a discussion on a possible proof for the equivalence of norms.
  • #1
e(ho0n3
1,357
0
Homework Statement
Let V and V' be real normed vector spaces and let f be a linear transformation from V to V'. Prove that f is continuous if V is finite dimensional.

The attempt at a solution
Let [tex]v_1, v_2, \ldots, v_n[/tex] be a basis for V, let e > 0 and let v in V. I must find a d such that for all u in V such that ||u - v|| < d, ||f(u) - f(v)|| < e.

Now [tex]f(u) - f(v) = a_1 f(v_1) + \cdots + a_n f(v_n)[/tex] for some scalars [tex]a_i[/tex]. Thus [tex]\|f(u) - f(v)\| \le \|a_1 f(v_1)\| + \cdots + \|a_n f(v_n)\|[/tex].

If [tex]\|a_i f(v_i)\| < e/n[/tex], then ||f(u) - f(v)|| < e. This is as far as I've gone. Any tips?
 
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  • #2
Hint: give V and V' the Euclidean norm. Why can we do this without loss of generality?
 
  • #3
We can do this because all norms on a finite-dimensional vector space are equivalent. I know this is because the next problem after this one asks me to prove this fact. I feel it would be cheating if we proceed in this manner.

In any case, I don't understand how the Euclidean norm will help. The main issue, as I'm perceiving it, is that I don't know anything about f apart from the fact that it is linear. Hence, I'm unable to figure out how ||u - v|| < d would imply ||f(u) - f(v)|| < e, even if I knew the right d. I guess that I will need some kind of bound on ||f(v)|| in terms of ||v||.
 
  • #4
Start by proving continuity at the origin. ||w||<d -> ||f(w)||<e. The easy way to do this is to observe that the unit sphere ||w||=1 is compact in a FINITE DIMENSIONAL space. What does that tell you about ||f(w)|| on the sphere?
 
  • #5
Dick said:
Start by proving continuity at the origin.
Good idea. And if we show continuity at the origin, continuity everywhere follows.

The easy way to do this is to observe that the unit sphere ||w||=1 is compact in a FINITE DIMENSIONAL space.
This I've been trying to prove on a related question. All the proofs I've seen of this rely on the fact that a finite dimensional space is isomorphic to R^n. Is there a proof that doesn't use this fact?

What does that tell you about ||f(w)|| on the sphere?
I presume you want me to say that it is bounded. I know this is the case if f is continuous, but f is not continuous.
 
  • #6
e(ho0n3 said:
I presume you want me to say that it is bounded. I know this is the case if f is continuous, but f is not continuous.

Yes, I did want you to say bounded. But you are right. That needs f to be continuous.
 
  • #7
I'm getting the impression that there is no way of proving that {w : ||w|| = 1} is compact without showing that it is isomorphic to some a subset of R^n and then invoking the Heine-Borel theorem, unless of course I redo the Heine-Borel theorem for finite-dimensional normed vector spaces.
 
  • #8
Don't worry about that. That was not a very good suggestion. Though it's certainly true that {||x||=1} is compact. The real point here is that if you pick a basis for V, {v1,...,vn} and if v=a1*v1+...+an*vn and ||v||<d, that you can find some kind of bound on |a1|,|a2|,...,|an|. That's what good having the freedom to move to the Euclidean norm would do you. It would make that step easy. Sorry, I haven't had more time to think about this.
 
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  • #9
Ok, think about two dimensions. Pick two sequences a1n and a2n, v=a1n*v1+a2n*v2 and ||v||<d. Suppose |a1n| is unbounded going to infinity. That gives you |a1n|*||v1+a2n*v2/a1n||<d. Use that ||a+b||>=|||a||-||b|||. If a2n/a1n were also unbounded that contradicts the limiting upper value of d. Hence a2n/a1n is bounded. Pick a subsequence converging to say, c. If c=0, that's another contradiction. If c is not equal to zero then v1 and v2 are linearly dependent, right? Hence a1n and a2n are bounded and if ||a1*v1+a2*v2||<d then a1 and b2 are bounded. I think this whole thing is really similar to the proof all finite dimensional norms are equivalent. It's a pity those two proofs weren't in the opposite order.
 
  • #10
Dick said:
Ok, think about two dimensions. Pick two sequences a1n and a2n, v=a1n*v1+a2n*v2 and ||v||<d. Suppose |a1n| is unbounded going to infinity. That gives you |a1n|*||v1+a2n*v2/a1n||<d. Use that ||a+b||>=|||a||-||b|||.

From |a1n| * ||v1 + a2n / a1n * v2|| < d we get ||v1 + a2n / a1n * v2|| < d / |a1n| and using ||a + b|| >= |||a|| - ||b||| on the left-side of the last inequality yields

||v1|| - |a2n / a1n| * ||v2|| < d / |a1n| and |a2n / a1n| * ||v2|| - ||v1|| < d / |a1n|.

Taking limits, the right side of each inequality becomes 0, hence

||v1|| - ||v2|| * lim |a2n / a1n| < 0 and ||v2|| * lim |a2n / a1n| - ||v1|| < 0

so

||v1|| / ||v2|| < lim |a2n / a1n| and lim |a2n / a1n| < ||v1|| / ||v2||.

But this is impossible, so lim |a1n| is not infinity. We can use the same argument on |a2n| to show that it doesn't diverge.

Hence a1n and a2n are bounded and if ||a1*v1+a2*v2||<d then a1 and b2 are bounded.
OK. Where exactly are we going with this?

I think this whole thing is really similar to the proof all finite dimensional norms are equivalent. It's a pity those two proofs weren't in the opposite order.
What proof are you referring to? The proof I have uses the compactness of the unit sphere and the fact that a function on a compact set has a minimum and maximum to show that two norms are equivalent on the unit sphere. From there, it is easy to show that two norms are equivalent everywhere.
 
  • #11
Where we are going is:||a1*v1+a2*v2||<d and we now know there is an M(d) such that |a1|<=M and |b1|<=M. It should be pretty easy to write down a bound for ||f(a1*v1+a2*v2)||. I wasn't referring to any special proof of norm equivalence - I was just guessing it would have a part that looked like this. I'm a little dubious about your proof of boundedness. Where do you use that v1 and v2 are linearly independent? You certainly have to use that. lim x->inf ||x*v1-x*v1||=0. There may be an easier way to go about this whole thing. But that's all I could think of. Maybe morphism knows a better trick.
 
  • #12
Dick said:
Where we are going is:||a1*v1+a2*v2||<d and we now know there is an M(d) such that |a1|<=M and |b1|<=M. It should be pretty easy to write down a bound for ||f(a1*v1+a2*v2)||.
Ah, right.

I'm a little dubious about your proof of boundedness. Where do you use that v1 and v2 are linearly independent? You certainly have to use that.
I didn't really prove that |an1| and |an2| are bounded. I only showed that there limit is not infinity since that was our initial assumption. In any case, I like this approach and will try to make it work to my satisfaction.
 
  • #13
e(ho0n3 said:
I didn't really prove that |an1| and |an2| are bounded. I only showed that there limit is not infinity since that was our initial assumption.
On second thought, if their limits are not infinity, then they must be bounded.

Also, my proof of boundedness is unnecessarily long: Upon taking the limit of ||v1 + a2n / a1n * v2|| < d / |a1n|, we get

lim ||v1 + a2n / a1n * v2|| < 0

which is impossible. In any case, it is all wrong. The error is that strict inequalities are not preserved by limits. For example, 0 < 1/n for all positive integers n. However lim 0 = 0 < lim 1/n = 0 does not hold.
 
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  • #14
e(ho0n3 said:
On second thought, if their limits are not infinity, then they must be bounded.

Also, my proof of boundedness is unnecessarily long: Upon taking the limit of ||v1 + a2n / a1n * v2|| < d / |a1n|, we get

lim ||v1 + a2n / a1n * v2|| < 0

which is impossible. In any case, it is all wrong. The error is that strict inequalities are not preserved by limits. For example, 0 < 1/n for all positive integers n. However lim 0 = 0 < lim 1/n = 0 does not hold.

A priori, the limit of a2n/a1n may not exist (you'd need to use the assumption v1 and v2 are linearly independent). But if you can show a2n/a1n is bounded (and you surely can) you can extract a convergent subsequence -> c. And then, yes, ||v1+c*v2||<=0. So?
 
  • #15
Dick said:
A priori, the limit of a2n/a1n may not exist (you'd need to use the assumption v1 and v2 are linearly independent).
Oh right. I don't understand how linear independence plays a role.

And then, yes, ||v1+c*v2||<=0. So?
I understand where the c comes from but where did this inequality come from?
 
  • #16
YOU said, ||v1+(a2n/a1n)v2||<d/|a1n|. |a1n|->infinity. You agree you can pick a subsequence of a2n/a1n that converges to some number c. Where do YOU think the inequality comes from? The whole point here is that if v1 and v2 ARE linearly dependent, you CAN have ||a1n*v1+a2n*v2||<d AND |an1|->infinity and |an2|->infinity. That's what I'm are trying to avoid. You somehow have to use linear independence.
 
  • #17
Oh yeah. Sorry about that. My thinking is slower than usual today.
 

Related to Continuity in Normed Vector Spaces

1. What is continuity in normed vector spaces?

Continuity in normed vector spaces refers to the property of a function to maintain a consistent output as the input values change within a given range. In other words, small changes in the input result in small changes in the output.

2. How is continuity defined in normed vector spaces?

In normed vector spaces, continuity is defined as follows: A function f is continuous at a point x if for any given ε > 0, there exists a δ > 0 such that for all points y within a distance of δ from x, the difference between f(y) and f(x) is less than ε.

3. What is the difference between uniform continuity and pointwise continuity in normed vector spaces?

In uniform continuity, the same δ value works for all points within a given range. On the other hand, in pointwise continuity, the δ value may vary for different points within the range.

4. How is continuity related to differentiability in normed vector spaces?

In normed vector spaces, a function is differentiable at a point if it is continuous at that point and has a well-defined derivative. This means that a continuous function may or may not be differentiable, but a differentiable function is always continuous.

5. Can a function be continuous but not uniformly continuous in normed vector spaces?

Yes, a function can be continuous but not uniformly continuous in normed vector spaces. This occurs when the function is continuous but the difference between the output of two points approaches infinity as the points get closer to each other.

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