Show Equivalence of Euclidean & Supremum Norms on R2

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SUMMARY

The discussion focuses on proving the equivalence of the Euclidean norm and the supremum norm on R². The Euclidean norm is defined as ||X||₁ = √(x₁² + x₂²), while the supremum norm is defined as ||X||∞ = max(|x₁|, |x₂|). Participants concluded that there exist positive constants a and b such that a√(x₁² + x₂²) ≤ max{|x₁|, |x₂|} ≤ b√(x₁² + x₂²), confirming the norms' equivalence through geometric interpretations involving right triangles.

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  • Understanding of Euclidean and supremum norms in R²
  • Basic knowledge of inequalities and algebraic manipulation
  • Familiarity with geometric interpretations of norms
  • Concept of positive real numbers and their properties
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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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