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I'm trying to solve this following question:

Let $g:\mathbb{R^{n}\to R^{n}}$ be a differentiable function. Show that if exists $0\le r<1$ s.t. $\forall a\in \mathbb{R^{n}} \quad \vert\vert{(Dg)_a}\vert\vert_{op}\le r$, when $\vert\vert{(Dg)_a}\vert\vert_{op} =\max \left\{\vert\vert(Dg)_a \vert\vert_2: \vert\vert x\vert\vert _2=1\right\} $, then $g$ has a fixed-point in $\mathbb{R^{n}}.$

I wanted to show that $g$ is a contraction mapping, and since $\mathbb{R^{n}}$ is a complete metric space - g admits an unique fixed-point (Banach fixed-point theorem), but I couldn't prove that $g$ is indeed a contraction mapping.

Any hint would be appreciated. Thank you!

Ludwig
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1 Answers1

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Surely, in your problem statement, you meant $0\leq r<1$.

Apart from that typo, use the mean-value inequality: $\|g(x)-g(y)\|\leq \bigg(\sup\limits_{t\in [0,1]}\|Dg_{x+t(y-x)}\|_{\text{op}}\bigg)\cdot \|x-y\|$. For the proof of this theorem, see Loomis and Sternberg's Advanced Calculus, section 3.7, theorems 7.3 and 7.4.


Remark.

Anytime you have to relate information about derivatives to information about the function, your first thought should be to somehow invoke the mean-value theorem (in single-variable calculus) or the mean-value inequality (in multivariable calculus).

peek-a-boo
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