Is There an Inequality Between L1 and L2 Norms?

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The discussion centers on proving the inequality between L1 and L2 norms, specifically \|x\|_2 ≤ \|x\|_1 ≤ √n \|x\|_2. Participants suggest squaring both sides to tackle the first part of the inequality, which is effective. For the second part involving √n, the conversation hints at using projection vectors and the Cauchy-Schwarz inequality as potential methods for proof. The exchange highlights the mathematical relationships and techniques relevant to understanding the norms. Overall, the discussion emphasizes analytical approaches to proving inequalities between L1 and L2 norms in vector spaces.
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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?
 
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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
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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