F(x)=||x|| is Lipschitz function

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kingwinner
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"Let (V,||.||) be a normed vector space. Then by the triangle inequality, the function f(x)=||x|| is a Lipschitz function from V into [0,∞)."

I don't understand how we this follows from the triangle inequality. How does the proof look like?

Any help is appreciated!
 
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[tex]\Big|\|x\| - \|y\| \Big|\le \|x-y\|[/tex]
 
OK, I think that's the "variant triangle inequality". I've seen the proof in R (by the regular triangle inequality), but how can we prove it for normed vector spaces?
 
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g_edgar said:
[tex]\Big|\|x\| - \|y\| \Big|\le \|x-y\|[/tex]


[tex]\Big|\|x\| - \|y\| \Big|\le \|x-y\|[/tex] <=> -||x-y||[tex]\leq||x||-||y||\leq[/tex] ||x-y|| <=> -||x-y|| +||y||[tex]\leq ||x||\leq[/tex] ||x-y|| +||y|| which is correct since

||x|| =||x-y+y||[tex]\leq[/tex] ||y|| +||x-y|| and

||y|| = ||y-x+x||[tex]\leq[/tex] ||x-y||+ ||x||
 
Thanks!

Just wondering...is there a analogue of the "variant triangle inequality" in general METRIC SPACES? If so, how does it look like and how does the proof change?
 
kingwinner said:
Thanks!

Just wondering...is there a analogue of the "variant triangle inequality" in general METRIC SPACES? If so, how does it look like and how does the proof change?
[tex]\left|d(x,0)-d(y,0)\right|\leq d(x,y)[/tex]

The same proof
 
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evagelos said:
[tex]\left|d(x,0)-d(y,0)\right|\leq d(x,y)[/tex]

The same proof

So in the metric space context, does it mean that the function "d" is always a Lipchitz function as well?
 
kingwinner said:
So in the metric space context, does it mean that the function "d" is always a Lipschitz function as well?

The Lipschitz function is f(x) =d(x,0) and not d(x,y)