Sup norm and inner product on R2

In summary, The sup norm on ##\mathbb{R}^2## is not derived from an inner product on ##\mathbb{R}^2##, as shown by the contradiction derived from the supposed property that ##\|x\|_\infty^2=\langle x,x\rangle##.
  • #1
CB14
5
0

Homework Statement


Show that the sup norm on R2 is not derived from an inner product on R2. Hint: suppose <x,y> is an inner product on R2 (not the dot product) and has the property that |x|=<x,y>0.5. Compute <x±y, x±y> and apply to the case x=e1, y=e2.

Homework Equations


|x|=<x,y>0.5
I've noticed that the notation can vary for the sup norm - in this case |x| is the sup norm.

The Attempt at a Solution


My understanding of the sup norm is fragile; in fact, my understanding of linear algebra in general is full of gaps, which is why I'm trying to work through questions in the first chapter of Munkres' Analysis on Manifolds. It looks as though this is set up to be a proof by contradiction, so assuming the hint is true I decided to expand and get to the point where the hint would be useful:
<x+y, x+y> = <x, x> + <y, y> + 2<x, y>
Using the hint, <x, y> = |x|2, so:
<x+y, x+y> = ||x||2 + ||y||2 + 2|x|2
||x+y||2 = ||x||2 + ||y||2 + 2|x|2
Using the fact that x=e1 and y=e2, this gives 2 = 4. Since the expansion is correct under the definition of inner product, the assumption given in the hint must be incorrect. So, this means that the sup norm does not follow from an inner product, or at least this particular inner product; case closed! Or is it?

My concern is that it doesn't seem to address the full question, since at a glance it only appears to address the case when x=e1 and y=e2, so hypothetically, using this argument, could it be possible another x, y satisfies? Or is the fact that we're using a basis for R2 enough that the argument is generalized by its usage?
 
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  • #2
I'm going to guess you maybe misread the hint. It should probably say ##<x,x>=|x|^{\frac{1}{2}}##.

Now I could be wrong, but I'm pretty basis vectors need not have norm 1. So your argument doesn't fly. You're on the right track, though. Go back and look up the definition of the sup norm.
 
  • #3
Thanks for the reply! I checked the hint once again, but no, everything is exactly as I've written it as far as the question and the hint are concerned.

I used the part of the hint where x=e1 (so x1=1, x2=0) and y=e2. In the book it says that the sup norm is calculated as follows:
|x|= max{|x1|,...,|xn|} which in this case would be 1.

Hah, I realized that I didn't square my value for ||x+y||, though, so on that front my argument completely falls apart.
 
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  • #4
CB14 said:
Thanks for the reply! I checked the hint once again, but no, everything is exactly as I've written it as far as the question and the hint are concerned.

Even if you copied it right, the hint as stated is wrong. It should be
$$
\langle x, x \rangle = \|x\|^2
$$
for any ##x \in \mathbb{R}^2##. (You got it slightly backwards, gopher_p!)

I think you're supposed to look at ##\langle e_1 + e_2, e_1 + e_2 \rangle##.
 
  • #5
CB14 said:
Thanks for the reply! I checked the hint once again, but no, everything is exactly as I've written it as far as the question and the hint are concerned.

Well I really think it's a typo then. (1) The definition of "norm determined by inner product" is ##\|x\|=<x,x>^{\frac{1}{2}}##, (2) it's not needed for the problem.

CB14 said:
I used the part of the hint where x=e1 (so x1=1, x2=0) and y=e2. In the book it says that the sup norm is calculated as follows:
|x|= max{|x1|,...,|xn|} which in this case would be 1.

Yes, you're right. My bad on that.

CB14 said:
Hah, I realized that I didn't square my value for ||x+y||, though, so on that front my argument completely falls apart.

Actually, I think you need to be even more careful about computing ##\|e_1+e_2\|##. Remember it's the sup norm.
 
  • #6
From my understanding, I think the hint is asking us to assume this property is true (it's clearly not, of course) and in showing that it doesn't hold, it should prove that the sup norm isn't derived from the inner product.

Revising my argument, if I expanded <x+y, x+y>, I would get
<x, x> + <y, y> + 2<x, y> which by the hint should be equivalent to <x, x> + <y, y> + 2|x|2
and in this case we'd once again arrive at the 4=2 situation...except with correct math.

The question seems kind of ridiculous to me, though - does following the hint and trying to find an algebraic error like I did really provide all the proof that's needed to answer the question?
 
  • #7
Perhaps if I give you the "lemma" related to this problem you'll see how this problem is supposed to work out.

Let ##V## be a vector space over a field ##F## and ##<\cdot,\cdot>:V\times V\rightarrow F## an inner product. Show that for all ##x,y\in V##, ##<x+y,x+y>+<x-y,x-y>=2<x,x>+2<y,y>##.
 
  • #8
CB14 said:
Hint: suppose <x,y> is an inner product on R2 (not the dot product) and has the property that |x|=<x,y>0.5.
If it does, then either your < , > isn't an inner product or your | | isn't a norm. Just consider a non-zero x, and y orthogonal to x. Then you have 0≠|x|=0. So it's definitely a typo.

Just think about what the statement you want to prove means. It means that the assumption that < , > is an inner product such that ##\|x\|_\infty^2=\langle x,x\rangle## (where ##\|x\|_\infty## denotes the sup norm of x) will lead to a contradiction*. So it's actually pretty obvious that the hint contains a typo.

*) This will be a contradiction derived using the definition of the sup norm. Note that the contradiction 0≠0 that we derived from the mistyped condition could be found without using the definition of the sup norm.
 
  • #9
Thanks for clarifying about the hint.

I see now what you were saying, gopher_p. Using the parallelogram law, then, (where I'm still using |x| to denote the sup norm...must learn Latex!)

|x+y|2+|x−y|2 = 2|x|2 +2|y|2

But x=e1 and y=e2, so the parallelogram law clearly isn't satisfied and once again gives 2=4, but without referencing the hint. Because the law isn't satisfied, the sup norm can't be derived from an inner product.

I'm curious to know how the contradiction 0≠0 is obtained without using the definition of the sup norm.
 
  • #10
CB14 said:
Thanks for clarifying about the hint.

I see now what you were saying, gopher_p. Using the parallelogram law, then, (where I'm still using |x| to denote the sup norm...must learn Latex!)

|x+y|2+|x−y|2 = 2|x|2 +2|y|2

But x=e1 and y=e2, so the parallelogram law clearly isn't satisfied and once again gives 2=4, but without referencing the hint. Because the law isn't satisfied, the sup norm can't be derived from an inner product.

I'm curious to know how the contradiction 0≠0 is obtained without using the definition of the sup norm.

Well, we don't need the parallelogram law to solve the problem I gave. We just need properties of inner products. And we don't need norms either. See if you can prove my claim just using the axioms of inner products on vector spaces.
 
  • #11
CB14 said:
I'm curious to know how the contradiction 0≠0 is obtained without using the definition of the sup norm.
As I said, if ##\|\ \|## denotes a norm, and ##\langle\ ,\ \rangle## an inner product, and you choose x≠0, and y orthogonal to x, the (incorrect) equality ##\|x\|=\sqrt{\langle x,y\rangle}## becomes "something non-zero"=0. The result ##0\neq \|x\|=0## implies that ##0\neq 0##.

So you have to use that ##\|\ \|## is a norm, but you don't have to use that it's specifically the sup norm.
 
  • #12
Here is a completely different way to approach the problem. According to bilinearity of the inner product: <(x,y),(x,y)> = ax^2+2bxy+cy^2, where a = <(1,0),(1,0)> etc. Now assume that for some choice of a,b,c that formula is equal to |(x,y)|^2 for all (x,y) in R2.

So let's set x=1 and let y vary between -1 and 1. What does the equation say then and what can you deduce about the coefficients a,b,c?
 

Related to Sup norm and inner product on R2

1. What is the sup norm on R2?

The sup norm on R2 is a mathematical function that measures the maximum distance between a point and the origin in two-dimensional space. It is also known as the maximum norm or the infinity norm.

2. How is the sup norm calculated on R2?

To calculate the sup norm on R2, you take the absolute value of the x-coordinate and the absolute value of the y-coordinate of a point, and then choose the larger value as the maximum distance from the origin.

3. What is the inner product on R2?

The inner product on R2 is a mathematical operation that takes in two vectors and produces a scalar value. It is used to measure the angle between two vectors and can also be used to calculate the length of a vector.

4. How is the inner product calculated on R2?

The inner product on R2 is calculated by multiplying the corresponding components of two vectors and then adding them together. For example, if vector A has components (a1, a2) and vector B has components (b1, b2), the inner product between them would be a1*b1 + a2*b2.

5. What are some applications of the sup norm and inner product on R2?

The sup norm and inner product on R2 have various applications in fields such as physics, engineering, and computer science. They are used to solve optimization problems, measure distances and angles, and perform transformations in vector spaces.

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