Show Equivalence of Euclidean & Supremum Norms on R2

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Homework Help Overview

The problem involves demonstrating the equivalence of the Euclidean and supremum norms on R². The original poster attempts to establish inequalities involving these norms, seeking to identify constants that satisfy the equivalence condition.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the formulation of the problem and the necessary inequalities. Some suggest starting with assumptions about the values of x1 and x2 to simplify the analysis. Others explore geometric interpretations using right triangles to understand the relationship between the norms.

Discussion Status

The discussion is active, with participants providing insights and clarifications about the relationships between the norms. There is an exploration of how to express the norms in terms of each other, and some guidance has been offered regarding the assumptions that can be made to facilitate the proof.

Contextual Notes

Participants are working under the constraints of a homework assignment, which may limit the information they can use or the methods they can apply. There is a focus on understanding the geometric implications of the norms involved.

gtfitzpatrick
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Homework Statement



Show that the Euclidean and supremum norms are equivalent norms on R2

The Attempt at a Solution



The Euclidean Norm is
\left|\left|X\left|\left|1 = \sqrt{x1^2 + x2^2}

The Supremum norm is
\left|\left|X\left|\left|\infty = max (\left|x1\left|,\left|x2\left|)

so for them to be equivalent:

a(\sqrt{x1^2 + x2^2})\leq max (\left|x1\left|,\left|x2\left|) \leq b(\sqrt{x1^2 + x2^2})

I think I'm going right with this?
im not sure how to work with the supremum norm in the middle?
 
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That sounds like a correct algebraic translation of the problem. In more detail, you want to prove:



There exist positive real numbers a and b such that
For any real numbers x1 and x2
a \sqrt{x_1^2 + x_2^2} \leq \max \{ |x_1|, |x_2| \} \leq b \sqrt{x_1^2 + x_2^2}​



The supremum in the middle is not essential -- with a little effort you can rearrange that inequality so that there are suprema is on the outside and one Euclidean norm in the middle. Really, for the purposes of solving for a and b, you probably just want to look at it as two separate inequalities.
 
Yes, what you have to prove is you can find the a and b. You might start by stating that without loss of generality, you may assume |x_1| \le |x_2|, so that:

max{|x1|,|x2|} = |x2|

and work with assumption.
 
thanks for the help lads

<br /> a \sqrt{x_1^2 + x_2^2} \leq b \sqrt{x_1^2 + x_2^2} \geq \max \{ |x_1|, |x_2| \} }<br />

\Rightarrow

<br /> a \sqrt{x_1^2 + x_2^2} \leq b \sqrt{x_1^2 + x_2^2} \geq |x_2| }<br />

\Rightarrow

<br /> a \leq b \geq |x_2|/\sqrt{x_1^2 + x_2^2} }<br />

a constant?
 
Just draw a right triangle. Make the lengths of the legs x1 and x2. sqrt(x1^2+x2^2)=h is the length of the hypotenuse. In terms of h, what's the longest the longest leg can be? What's the shortest the longest leg can be?
 
the shortest the longest leg can be is x1=x2 so then x2 = \sqrt{(h^2)/2} ?
 
gtfitzpatrick said:
the shortest the longest leg can be is x1=x2 so then x2 = \sqrt{(h^2)/2} ?

Exactly. h/sqrt(2). How about the longest the longest leg can be? So the max norm is bounded by constants times the euclidean norm, right?
 
the longest the longest leg can be is x1 = 0 so then x2 = h?
 
gtfitzpatrick said:
the longest the longest leg can be is x1 = 0 so then x2 = h?

I would have said 'the longest the longest can be is h'. But I think you've got the idea. If h is the hypotenuse, the longest leg is between h and h/sqrt(2).
 
  • #10
ok, so the longest leg is between h and h/sqrt(2), i get that with the triangle but I am not sure how it shows the norms are equivalent?sorry and thanks for the help!
 
  • #11
The hypotenuse is the euclidean norm of the point (x1,x2) in R^2. The longest leg is the max norm of (x1,x2).
 
  • #12
oh god,yes-thanks a million...that actually really,really explains it to me. Damn thanks a million.Thanks dick. I am actually happy now :biggrin:
 

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