MHB Proof of Contraction Mapping for $f\left(x\right)={e}^{{-e}^{-x}}$

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The discussion focuses on proving that the function \( f(x) = e^{-e^{-x}} \) is a contraction mapping on \( \mathbb{R} \) by demonstrating that \( |f'(x)| < 1 \). Participants derive the derivative \( f'(x) = e^{-(x + e^{-x})} \) and discuss the conditions under which this expression is less than 1. It is established that \( g(x) = x + e^{-x} \) has a global minimum at \( x = 0 \), leading to the conclusion that \( \sup_{-\infty < x < \infty} |f'(x)| = e^{-1} \), confirming that \( 1/e \) is a suitable contraction constant. The use of the supremum and the minimum value of \( g(x) \) is justified through the mean value theorem, emphasizing the relationship between the derivative and contraction properties.
ozkan12
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Please can you prove that $f\left(x\right)={e}^{{-e}^{-x}}$ is contraction mapping on R...Thank you for your attention...
 
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Try proving that $|f'(x)|<1$.
 
I tried this but I didnt get something...Dear professor
 
What did you get for $f'(x)$?
 
I get this ${e}^{-(x+{e}^{-x})}$...But how ${e}^{-(x+{e}^{-x})}$ $\le$ 1 ?
 
Well, based on our knowledge of the exponential function $e^x$, we know that $e^x \le 1$ precisely when $x\le 0$. Can you prove that $-(x+e^{-x})\le 0?$

Also, with contraction mappings, it's always a good idea to mention which metric is being used. Is it just $d(x,y)=|x-y|?$

Actually, a more fruitful method of showing this might be to let $g(x)=f'(x)$, and maximize $g(x)$ using the usual calculus methods.
 
I know $-\left(x+{e}^{-x}\right)$ $\le$0...But for which "x" we get ${e}^{-(x+{e}^{-x})}$ $\le$ 1? $x\in[0,\infty)$ or $x\in[-\infty,0)$...I didnt know this
 
Hi ozkan12,

You want to prove $x + e^{-x} > 0$ for all $x\in \Bbb R$, for then $e^{-(x + e^{-x})} < 1$ for all $x\in \Bbb R$ as desired. Actually, we can prove that $1/e$ is a suitable contraction constant for $f$ by showing that $1/e = \sup\limits_{-\infty < x < \infty} |f'(x)|$. Now the function $g(x) = x + e^{-x}$ has only one critical point at $x = 0$. Furthermore, $g'(x) = 1 - e^{-x}$ is positive for all $x > 0$ and negative for all $x < 0$. By the first derivative test, $g$ has a global minimum at $x = 0$. The minimum value of $g$ is $g(0) = 1$, so

$$\sup_{-\infty < x < \infty} |f'(x)| = e^{-g(0)} = e^{-1},$$

proving that $1/e$ is a contraction constant for $f$.
 
Dear professor,

Why we use supremum ?
 
  • #10
We use the mean value theorem to relate derivative and contraction. Namely, if $f$ is differentiable on an interval $I$, then for every $x_1,x_2\in I$ there exists an $x_0\in (x_1,x_2)\subseteq I$ such that $f(x_2)-f(x_1)=(x_2-x_1)f'(x_0)$. Thus, if $S=\sup_{x\in I}|f'(x)|$, then $|f(x_0)|\le S$ and
\[
|f(x_2)-f(x_1)|=|x_2-x_1|\cdot|f(x_0)|\le |x_2-x_1|\cdot S.
\]
Therefore, if $S<1$. then $f$ is a contraction on $I$.
 
  • #11
Dear professor,

Why we use minimum value of "g" ?
 
  • #12
ozkan12 said:
Dear professor,

Why we use minimum value of "g" ?

So, from Euge's post, we have $g(x)=x+e^{-x}$. Then the original function's derivative is $f'(x)=e^{-g(x)}$. Now $e^{-x}$ is a monotonically decreasing function. It follows that a maximum of $f'(x)$, which is what we are trying to find, would happen precisely where $g(x)$ has a minimum.
 
  • #13
Dear Ackbach

I opened new thread on forum...Can you see that ? Thank you for your attention :)
 

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