Proof of an inner product space

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SUMMARY

The discussion centers on proving that the normed linear space l2 is not an inner product space. Participants utilize the parallelogram law, specifically the equation ||x+y||² + ||x-y||² = 2||x||² + 2||y||², to explore counterexamples. The consensus is that a valid counterexample must be derived from the l2 space, which is defined by the max norm. Misunderstandings about the definition of l2 and the nature of bounded functions were clarified during the discussion.

PREREQUISITES
  • Understanding of normed linear spaces
  • Familiarity with the parallelogram law in vector spaces
  • Knowledge of the definition and properties of ln spaces
  • Basic concepts of bounded functions and their implications in analysis
NEXT STEPS
  • Study the properties of l2 space and its norms
  • Learn about the implications of the parallelogram law in different normed spaces
  • Explore counterexamples in functional analysis to understand non-inner product spaces
  • Investigate the relationship between bounded functions and normed spaces in real analysis
USEFUL FOR

Mathematics students, particularly those studying functional analysis, linear algebra, and anyone interested in the properties of normed spaces and inner product spaces.

cabin5
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Homework Statement


Prove that the normed linear space l_{\infty}^{2} is not an inner product space.


Homework Equations


parallelogram law;
\left\|x+y\right\|^2+\left\|x-y\right\|^2=2\left\|x\right\|^2+2\left\|y\right\|^2


The Attempt at a Solution


Well, I tried to apply parallelogram law to the l_{\infty}^{2} space where

x=(\alpha^1,\alpha^2) and y=(\beta^1,\beta^2)\in l_{\infty}^{2} .

\left\|x\right\|=max\left\{\left|\alpha^1\right|,\left|\alpha^2\right|\right\} and <br /> <br /> \left\|y\right\|=max\left\{\left|\beta^1\right|,\left|\beta^2\right|\right\}

If one puts these norms into the parallelogram law equation, one gets a fuzzy expression on both sides of the equation, therefore it is important to put out expressions inside the max{} function which I could not achieve to do.

Is there another method to solve this problem or am I misapplying the law to l_{\infty}^{2} space?
 
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You only need a counterexample to show it's not an inner product space. Start putting some actual numbers in for the alphas and betas.
 
Is it a mathematically correct method?
 
cabin5 said:
Is it a mathematically correct method?

What would not be 'mathematical' or 'correct' about it? If I claim all primes are odd, and somebody points out 2 is even, that's enough to prove me wrong. Just do it.
 
Yes, as Dick said, proving that a general statement is NOT true by counterexample is a perfectly correct method.
 
thanks for the post!
 
well,
I tried the parallelogram law for x=(0,3) and y=(2,5) and it perfectly worked on both sides of the equation.
Should I choose the complex field for that space?

What's wrong with that?
 
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You must have put some effort into find a case where it works. Almost all other cases don't work. Like x=(1,0) and y=(0,1). It has to work for all cases or your norm doesn't come from an inner product.
 
Finally, It worked :)
I thought any ordered pair would work as a counterexample.

Thanks a lot!
 
  • #10
No, and ordered pair won't work because R2 DOES make a inner product space. This question was about l_\infty^2. Your counterexample must be from that space. What are the vectors in that space?
 
  • #11
HallsofIvy said:
No, and ordered pair won't work because R2 DOES make a inner product space. This question was about l_\infty^2. Your counterexample must be from that space. What are the vectors in that space?

I took it to be R^2 with the max norm. You think it's bounded functions on R^2, right? It's still pretty easy to find a counterexample with bounded functions.
 
  • #12
I have no clue whether one must use a bounded function or not in order to prove that.
 
  • #13
The question is, what is the definition of the space l^2_infinity? Can you tell us what it is?
 
  • #14
Sorry for so late reply:

The definition of l_{\infty}^{n} :
On the linear space V_{n}(F) with the infinity norm defined by
\left\|x\right\|_p=\left[\sum^{\infty}_{i=1}\left|\alpha^{i}\right|^p\right]^{1/p}

where x=(\alpha^i).
The corresponding linear space to this norm is denoted by l_{\infty}^{n}.
 
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  • #15
Dick said:
I took it to be R^2 with the max norm. You think it's bounded functions on R^2, right? It's still pretty easy to find a counterexample with bounded functions.

No, I was assuming infinite sequences {an} such that {a2n} was summable.
 
  • #16
so l_{\infty}^{2} defines that norm which is basically the square of root total sum of square of each element of 2 vectors defined over R^2 field.

Eventually , I think that you're example is correct, but besides I have no idea about whether functions defined in l_{\infty}^{2} is bounded or not (since I didn't take any real analysis course during undergrad.)
 
  • #17
HallsofIvy said:
No, I was assuming infinite sequences {an} such that {a2n} was summable.

I don't think that's what the problem is supposed to be about.
 
  • #18
cabin5 said:
so l_{\infty}^{2} defines that norm which is basically the square of root total sum of square of each element of 2 vectors defined over R^2 field.

Eventually , I think that you're example is correct, but besides I have no idea about whether functions defined in l_{\infty}^{2} is bounded or not (since I didn't take any real analysis course during undergrad.)

I think what you just described is l^2_2. The 'infinity' usually designates a max norm (supremum) rather than a power root norm.
 
  • #19
oh, ****!

you're right , It was supposed to be max norm! I miswrote the definition.
 

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