Question about Normed Linear Spaces

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The discussion centers on the properties of norms in finite-dimensional vector spaces, specifically addressing the inequality ||x|| ≥ ||xi|| for a vector x expressed as a linear combination of basis vectors {ei}. The participant asserts that the inequality does not hold universally, providing a counterexample in R² with the basis vectors e1 = <1,0> and e2 = <-1,0.1>. The conclusion drawn is that the independence of basis vectors does not guarantee the stated norm inequality.

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Statement: V is a finite dimensional vector space with basis {ei} (i goes from 1 to n). V has a norm || || defined on it(not necessarily induced by an inner product). Let x=Ʃxiei belong to V. I want to show that ||x|| ≥ ||xiei|| for any fixed i.

I'm not entirely sure this result is correct. But i remember seeing something similar in a text a while ago.
I know all the properties of a norm but I'm not sure how to proceed. I don't know how the independence of the basis vectors will fit into the proof.
 
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It isn't true. In ##R^2## consider the basis ##e_1=<1,0>,\ e_2=<-1,.1>##. Then let ##x=1e_1+1e_2=<0,.1>##. Then ##\|x\|=.1<1\|e_1\|##.
 
Thank you!
 

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