Let X=C([0,1]), the space of continous functions on the interval [0,1], and let \(||f||_\infty = sup\{|f(x)|~~:~~x\in[0,1]\}\). Show that \(|| ~~||_\infty\) is a vector space norm. I do not know how to start. Please, help
@SithsAndGiggles
Ooo I also need to know how to do this one :c
I think I have to have || || satisfies: 1)|| f(x)|| > 0 for all x, =0 if f(x) =0 2) ||c f(x) ||= |c| ||f(x)|| for every c in R 3)||f(x)+g(x)|| \(\leq\) ||f(x) ||+||g(x)||
the last one is hardest part.
@ikram002p @phi
i dont get the notations hmm i'll read again >.<
i dont get any clue sorry
Thanks for your time :)
Have you established any of the conditions yet?
:) not yet. I do not know how to start.
The definition of a norm states that for a vector space \(X\), a function \(\|\cdot\|:X\to\mathbb{R}\) must satisfy, for all \(k\in\mathbb{C}\) and \(x,y\in X\), \[\begin{array}{cl} (1)&\|x\|=0~~\iff~~x=0\\ (2)&\|kx\|=|k|~\|x\|\\ (3)&\|x+y\|\le\|x\|+\|y\| \end{array}\] Notice that if \(x\not=0\), if the second axiom holds then you can establish non-negativity.
The first condition is fairly simple to manage: \[\|f\|_\infty=0~~\implies~~\sup|f(x)|=0~~\implies~~0\le|f(x)|\le0\] which means \(f(x)=0\).
I suppose you'll have to show the other direction as well, but that should be easy enough for you.
hold on, is it not that sup |f(x) | in [0,1] = 1?
No, we are assuming the norm is equal to 0, and by definition of the given norm, you have \[\|f\|_\infty=\sup|f(x)|=0\]
Ok,
Can you show why the second axiom holds? Use properties of the supremum.
Nah, I go around again. ha!!
The property I'm referring to is that for \(k\ge0\), you have \(\sup kx=k\sup x\).
but in book, that is definition,
They just say: ||.||_infty : M-->R is a norm
Assume \(k>0\), then \[\|kf\|=\sup|kf(x)|=|k|\sup|f(x)|=|k|~\|f\|\]
Is that all I have to do?
For the second axiom, yes.
How about the last axiom?
I suspect it might be more complicated than what I have here, but it should give you a rough idea of how to approach it. Let \(f,g\in X\), then \[\begin{align*}\|f+g\|&=\sup|f(x)+g(x)|\\ &\le\sup\bigg(|f(x)|+|g(x)|\bigg)\\ &=\sup|f(x)|+\sup|g(x)|\\ &=\|f\|+\|g\| \end{align*}\]
Refer to Prop. 2.16 for a proof regarding the first step: https://www.math.ucdavis.edu/~hunter/m125b/ch2.pdf
Thank you so much.
yw
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