Prove Equivalent Norms: Norm 1 & Norm 2

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The discussion centers on proving the equivalence of two norms, ||.||1 and ||.||2, within a vector space V. It establishes that these norms are equivalent if there exist constants c and k such that c*||x||1 <= ||x||2 <= k*||x||1 for all vectors x in V. The participants highlight that the equivalence implies the existence of open balls in both norms that are contained within each other, leading to the conclusion that convergence in one norm guarantees convergence in the other.

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Prove that two norms ||.||1 and ||.||2 are equivalent if and only if there exist 2 constants c and k such that c*||x||1 <= ||x||2 <= k*||x||1 for all x in the concerned vector space V.

Attempt-> Equivalence implies a ball in norm 1 admits a ball in norm 2 and vice versa. For normed linear spaces, I know that B(x,r) = x + r*B(0,1).

So, a ball with respect to norm 1, B1(x,r), admits a ball in norm 2 with say radius 's'.

Using the normed linear space property, I can conclude that for a vector 'y' in V, if ||y||2 < s
then ||y||1 < r.

I don't know where I am going =(
 
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Hi Oster! :smile:

What is your definition of equivalent norms?
 
HI! I got it =D

My definition was that for every open ball with respect to norm 1, there existed an open ball w.r.t norm 2 contained in it and vice versaaaaaaa!
 
Converse was easy pffff.
 
That is the same as saying that a sequence converges in one norm if and only if it converges in the other.
 
In another thread last night you were studying the analogous result for equivalent metrics. This follows from that result, as the norm induces a metric.
 

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