Show that the given function is decreasing

  • #1
idobido
10
0
Homework Statement
show that the given function is decreasing.
Relevant Equations
derivative
induction
As a follow up for : https://www.physicsforums.com/threa...there-is-i-n-s-t-1-1-k-i-1-2-k-i-1-4.1054669/

show that ## \alpha\left(k\right)\ :=\ \left(1-\tfrac{1}{k}\right)^{\ln\left(2\right)k}-\left(1-\tfrac{2}{k}\right)^{\ln\left(2\right)k} ## is decreasing for ## k\in\left[3,\infty\right) ##

thing I've tried:
showing that first derivative is non-positive, but I've got complicated expression i cannot handle with (## k = x ##):

## \dfrac{\left(\frac{x-1}{x}\right)^{\ln\left(2\right)\,x}\,\left(\ln\left(2\right)\ln\left(\frac{x-1}{x}\right)\left(x-1\right)+\ln\left(2\right)\right)}{x-1}-\dfrac{\left(\frac{x-2}{x}\right)^{\ln\left(2\right)\,x}\,\left(\ln\left(2\right)\ln\left(\frac{x-2}{x}\right)\left(x-2\right)+2\ln\left(2\right)\right)}{x-2} ##

trying to compare
## \alpha\left(k\right)\ ## with ## \alpha\left(k+1\right)\ ##
also got complicated.
 
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  • #2
Set ##f(k) =\left(1-\dfrac{1}{k}\right)^{\log 2},## ##\varepsilon(k) =\dfrac{1}{k}## and ##g(k)=(f(k)-\varepsilon(k) )^{\log 2}## and show that
\begin{align*}
\dfrac{d}{dk}\left(f(k)^k-g(k)^k\right)&<0
\end{align*}
... and don't forget to write down your final calculation backward!
 
Last edited:
  • #3
did you notice that ##
g(k) = \left( \left(1 - \frac{1}{k}\right)^{\log 2} - \frac{1}{k} \right)^{\log 2} \neq \left(1 - \frac{2}{k}\right)^{\log 2}
## ?
 
  • #4
idobido said:
did you notice that ##
g(k) = \left( \left(1 - \frac{1}{k}\right)^{\log 2} - \frac{1}{k} \right)^{\log 2} \neq \left(1 - \frac{2}{k}\right)^{\log 2}
##
You are right, I overlooked that. So set ##f(k)=1-\dfrac{1}{k}## and ##g(k)=f(k)-\dfrac{1}{k}.## Shouldn't make a difference since we cancel ##k\log(2)## anyway.
 
  • #5
fresh_42 said:
You are right, I overlooked that. So set ##f(k)=1-\dfrac{1}{k}## and ##g(k)=f(k)-\dfrac{1}{k}.## Shouldn't make a difference since we cancel ##k\log(2)## anyway.
how does it cancelled i've got
##
\frac{d}{dk}\left( f(k)^k - g(k)^k \right) = \left( \ln f(k) + k \cdot \frac{1}{f(k)} \cdot f'(k) \right) \cdot f(k)^k - \left( \ln g(k) + k \cdot \frac{1}{g(k)} \cdot g'(k) \right) \cdot g(k)^k
##
 
  • #6
idobido said:
how does it cancelled i've got
##
\frac{d}{dk}\left( f(k)^k - g(k)^k \right) = \left( \ln f(k) + k \cdot \frac{1}{f(k)} \cdot f'(k) \right) \cdot f(k)^k - \left( \ln g(k) + k \cdot \frac{1}{g(k)} \cdot g'(k) \right) \cdot g(k)^k
##
You are thinking way too complicated. We want to show that
\begin{align*}
0&>\dfrac{d}{dk}\alpha(k) \\
0&>\dfrac{d}{dk}\left[\left(1-\dfrac{1}{k}\right)^{k\log 2}-\left(1-\dfrac{2}{k}\right)^{k\log 2}\right]\\
0&>\dfrac{d}{dk}\left(1-\dfrac{1}{k}\right)^{k\log 2}-\dfrac{d}{dk}\left(1-\dfrac{2}{k}\right)^{k\log 2}\\
0&>{k\log 2}\dfrac{d}{dk}\left(1-\dfrac{1}{k}\right)-{k\log 2}\dfrac{d}{dk}\left(1-\dfrac{2}{k}\right)\\
&\phantom{>}\ldots
\end{align*}
... and at the end of it: rewrite it backward.
 
  • #7
did you notice that ##
fresh_42 said:
You are thinking way too complicated. We want to show that
\begin{align*}
0&>\dfrac{d}{dk}\alpha(k) \\
0&>\dfrac{d}{dk}\left[\left(1-\dfrac{1}{k}\right)^{k\log 2}-\left(1-\dfrac{2}{k}\right)^{k\log 2}\right]\\
0&>\dfrac{d}{dk}\left(1-\dfrac{1}{k}\right)^{k\log 2}-\dfrac{d}{dk}\left(1-\dfrac{2}{k}\right)^{k\log 2}\\
0&>{k\log 2}\dfrac{d}{dk}\left(1-\dfrac{1}{k}\right)-{k\log 2}\dfrac{d}{dk}\left(1-\dfrac{2}{k}\right)\\
&\phantom{>}\ldots
\end{align*}
... and at the end of it: rewrite it backward.
i really can't understand why the last result is true, you are applying ##
\sqrt{k \cdot \log 2}
##
on both expressions inside the derivative brackets i.e. (before the derivative)? why is that true that the inequality will hold after the derivative?
 
  • #8
idobido said:
did you notice that ##

i really can't understand why the last result is true, you are applying ##
\sqrt{k \cdot \log 2}
##
on both expressions inside the derivative brackets i.e. (before the derivative)? why is that true that the inequality will hold after the derivative?

You are right. I made a mistake with the chain rule. Sorry.
 
  • #9
Note: I took a wrong shortcut with the derivative, so this is wrong. Corrected solution is on the way!

I think you can crank it out using calculus. Let:
$$f(x) = \big (\frac {x-1} x\big)^{ax} - \big (\frac {x-2} x\big)^{ax}$$Then$$f'(x) = a\ln\big (\frac {x-1} x\big)\big (\frac {x-1} x\big)^{ax}\big(\frac 1 {x^2}\big) - a\ln\big (\frac {x-2} x\big)\big (\frac {x-2} x\big)^{ax}\big(\frac 2 {x^2}\big)$$Looking for ##f'(x) = 0## gives$$\frac{\ln\big (\frac x {x-1} \big)}{\ln\big (\frac x {x-2} \big)} = 2\big (\frac{x-2}{x-1})^{ax}$$The left-hand side (for ##x \ge 3##) is an increasing function with a limit of ##\frac 1 2##. The right-hand side is increasing (for ##x \ge 3##) with a limit of ##1##. And, in any case, for ##a = \ln 2##, it is greater than ##\frac 1 2##.

This means that for ##a = \ln 2## the function has no turning points for ##x \ge 3##, hence is decreasing.
 
Last edited:
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  • #10
I think I have managed to crank out a solution this time. The derivative in post #1 is correct. Using ##a = \ln(2)##:
$$f(x) =\big (\frac {x-1} x\big)^{ax} - \big (\frac {x-2} x\big)^{ax}$$Then$$f'(x) = a\big (\frac {x-1} x\big)^{ax}\bigg [\ln\big (\frac {x-1} x\big) + \frac 1 {x-1} \bigg ] - a\big (\frac {x-2} x\big)^{ax}\bigg [\ln\big (\frac {x-2} x\big) + \frac 2 {x-2} \bigg ]$$By estimating ##f(3)## and ##f(4)## it is enough to show that ##f'(x) \ne 0## for ##x > 3##. Then we can conclude that ##f## is decreasing for ##x > 3##. We have ##f'(x) = 0## iff:
$$\frac{\ln(x-1) - ln(x) + \frac 1 {x-1}}{\ln(x-2) - ln(x) + \frac 2 {x-2}} = \big (\frac{x-2}{x-1})^{ax}$$The RHS is increasing from greater than ##\frac 1 4## to ##1##. It is enough to show that the LHS is less than ##\frac 1 4## for ##x \ge 3##. Note that ##p(3) \approx 0.1## and ##\lim_{x \to \infty} LHS = \frac 1 4##. In other words, for ##x \ge 3## it is enough to show that:
$$\ln(x-2) - ln(x) + \frac 2 {x-2} > 4 \big [\ln(x-1) - ln(x) + \frac 1 {x-1}\big]$$The trick I used is to set ##y = \frac 1 x## and then we need to show that for ##0 < y < \frac 1 3## we have:
$$\ln(1 - 2y) + \frac{2y}{1-2y} > 4\big [ \ln(1-y) + \frac{y}{1-y} \big ]$$Using Taylor series we have:
$$\ln(1 - 2y) + \frac{2y}{1-2y} = \frac 1 2 (2y)^2 + \frac 2 3 (2y)^3 + \frac 3 4 (2y)^4 \dots$$$$4\big [\ln(1 - y) + \frac{y}{1-y} \big ] = \frac 1 2 (2y)^2 + \frac 2 3 (\frac 1 2)(2y)^3 + \frac 3 4 (\frac 1 4) (2y)^4 \dots$$And that's it, I hope!
 
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Related to Show that the given function is decreasing

What does it mean for a function to be decreasing?

A function is said to be decreasing on an interval if, for any two points \( x_1 \) and \( x_2 \) within that interval, where \( x_1 < x_2 \), the function values satisfy \( f(x_1) \geq f(x_2) \). This means that as the input values increase, the output values either stay the same or decrease.

How do I determine if a function is decreasing?

To determine if a function is decreasing, you can use the first derivative test. If the derivative \( f'(x) \) is less than or equal to zero for all \( x \) in an interval, then the function is decreasing on that interval. Specifically, if \( f'(x) < 0 \) for all \( x \) in the interval, the function is strictly decreasing.

What role does the first derivative play in showing that a function is decreasing?

The first derivative of a function, \( f'(x) \), represents the rate of change of the function. If \( f'(x) \) is negative over an interval, it indicates that the function is decreasing on that interval because the slope of the tangent line to the curve is negative.

Can a function be decreasing if its derivative is zero?

If the derivative \( f'(x) = 0 \) over an interval, the function is constant on that interval, meaning it does not increase or decrease. For a function to be strictly decreasing, the derivative must be less than zero. However, if \( f'(x) \leq 0 \), the function is non-increasing, which includes both decreasing and constant behaviors.

What are some examples of decreasing functions?

Examples of decreasing functions include \( f(x) = -x \), \( f(x) = e^{-x} \), and \( f(x) = \frac{1}{x} \) for \( x > 0 \). In these cases, the derivatives are \( f'(x) = -1 \), \( f'(x) = -e^{-x} \), and \( f'(x) = -\frac{1}{x^2} \), respectively, all of which are less than zero over their respective domains.

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