Is There an Inequality Between L1 and L2 Norms?

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Homework Help Overview

The discussion revolves around the relationship between the L1 and L2 norms, specifically exploring the inequality \|x\|_2 ≤ \|x\|_1 ≤ √n \|x\|_2. Participants are examining the definitions and properties of these norms in the context of mathematical analysis.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss expanding the L2 norm and squaring both sides of the inequality as a potential approach. There is also consideration of how the projection vector might relate to the second part of the inequality involving √n.

Discussion Status

Some participants have offered suggestions for tackling the first part of the inequality, while others are exploring ideas for the second part. Multiple interpretations and approaches are being considered without a clear consensus on the methods to be used.

Contextual Notes

Participants are working within the constraints of a homework assignment, which may limit the information they can use or the methods they can apply. There is an ongoing discussion about the assumptions underlying the inequalities being analyzed.

roho
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Homework Statement


\|x\|_2\le\|x\|_1\le\sqrt{n}\|x\|_2
where |x|1 is the l1 norm and |x|2 is the l2 norm

Homework Equations


See above

The Attempt at a Solution


I have \|\mathbf{x}\|_1 := \sum_{i=1}^{n} |x_i|
and \|x\|_2 = \left(\sum_{i\in\mathbb N}|x_i|^2\right)^{\frac12}
I have tried to expand out the x 2 norm but i can't seem to figure out how to prove the inequality. Any suggestions?
 
Last edited:
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for the first part of the inequality, you could try squaring both sides
 
Yea that works for the first part. Thanks for the reply.

Any idea on the second part (square root of n)?

I am thinking it may have to do with the projection vector (such as (1,1,1,1,1,1)) in a scalar product or something like.
 
your idea should work with for the 2nd one with the use of Cauchy Schwarz
 

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