Finding fixed points non-algebraically

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Homework Help Overview

The problem involves finding fixed points of the function \( f(x) = \mu e^x \) for \( 0 < \mu < \frac{1}{e} \). The original poster seeks to demonstrate that there are two fixed points, \( q \) and \( p \), with \( q < p \), and is exploring non-algebraic methods to do so.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • The original poster attempts to solve \( f(x) = x \) algebraically but encounters issues with logarithms. They express a desire to find alternative methods, such as using derivatives or function iteration, but find these approaches complicated.
  • Some participants suggest using the Intermediate Value Theorem (IVT) and discuss the implications of the function's behavior, including the relationship between the function and its derivative.
  • Questions arise regarding the interpretation of the function's maximum and minimum values, and how these relate to the existence of fixed points.
  • There is a discussion about the nature of the fixed points, specifically regarding which are attracting or repelling based on the derivative's value at those points.

Discussion Status

The discussion has progressed with some participants providing suggestions, such as the use of the IVT and exploring the function's derivatives. There is an ongoing examination of the implications of the function's behavior around its critical points, and while some conclusions about the nature of the fixed points are emerging, explicit solutions have not been reached.

Contextual Notes

Participants note that the original problem does not require explicit calculation of the fixed points but rather an understanding of their existence and stability properties. The constraints of the problem, particularly the range of \( \mu \), are acknowledged as significant in the analysis.

razmtaz
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Homework Statement



let f = \muex
let 0 < \mu < 1/e

Show that f has two fixed points q and p with q < p

Homework Equations



a fixed point p is a point such that f(p) = p

The Attempt at a Solution



solving f(x) = x:
f(x) - x = 0
\muex - x = 0

Now I want to take logarithms but ln(0) is undefined.

This is the 'normal', algebraic way of solving for fixed points. Is there another way to solve for fixed points? I tried looking at the derivatives based on a suggestion but f'(x) = f(x) which doesn't tell me very much, and I also tried iterating the function, but it just seems to get messy (ie f(f(x)) = \mue\muex )

Any suggestions for finding fixed points would be helpful. I would prefer not to use the Newton-raphson method to find a root of g(x) = f(x) - x, so if there are any other strategies please let me know
 
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Let g(x)=f(x)-x. A fixed point of f is a zero of g. Now try using the intermediate value theorem.
 
If you solve ##\mu e^x = x## for ##\mu## you get ##\mu = xe^{-x}##. What are the min and max values of ##xe^{-x}## for ##x\ge 0##? And if you can conclude there is one fixed point and the slopes aren't equal there, the graphs of ##x## and ##xe^{-x}## must cross. Then maybe you can get the other crossing by a concavity argument. Your post doesn't say you must calculate the crossings, just show they exist.
 
morphism and LCKurtz thanks for the replies.

Gonna try IVT in a few minutes then ill update, but for LCKurtz suggestion:

Im not really sure what you mean. I found the max of x*e^-x to be 1/e at x = 1 and the min to be 0 at x = 0 (which is what we would expect, given the statement 0<mu<1/e). I am not sure how this ties in with:

LCKurtz said:
And if you can conclude there is one fixed point and the slopes aren't equal there, the graphs of ##x## and ##xe^{-x}## must cross. Then maybe you can get the other crossing by a concavity argument.

the slopes of x and x*e^-x? So if I can find one fixed point of mu*e^x then I can use the fact that the slopes of mu = x*e^-x and x are not equal to conclude that the graphs will cross again and therefore there will be another fixed point? I am having trouble understanding because mu is the parameter and I thought we wanted to look at the original function mu*e^x for varying mu, not solving for mu explicitly, or does it not make a difference?

Thanks for the help
 
Okay, I determined a solution using IVT, thanks for the tip morphism. There is another part of the question that asks which point is attracting and which is repelling, and to do this part I want to use a theorem that says if the value of the derivative at a fixed point is <1 then the point is attracting; if it is greater than 1 it is repelling. To do this I need to find the points explicitly.

How would I go about doing that as the IVT doesn't give me anything more than the existence of points, and any other method I can think of to do this would involve Newton method. Should I just use Newton method in this case?

edit: Okay I am stupid, just realized Newton method will approximate the answers for me, but I still need to find them explicitly if I want to use the theorem i quoted. Any ideas on how to find these fixed points? or better yet any different method for determining which point is attracting and repelling without explicitly finding the points? I can use a graphical argument but would prefer to have a mathematical one if possible
 
Last edited:
razmtaz said:
Okay, I determined a solution using IVT, thanks for the tip morphism. There is another part of the question that asks which point is attracting and which is repelling, and to do this part I want to use a theorem that says if the value of the derivative at a fixed point is <1 then the point is attracting; if it is greater than 1 it is repelling. To do this I need to find the points explicitly.

How would I go about doing that as the IVT doesn't give me anything more than the existence of points, and any other method I can think of to do this would involve Newton method. Should I just use Newton method in this case?

edit: Okay I am stupid, just realized Newton method will approximate the answers for me, but I still need to find them explicitly if I want to use the theorem i quoted. Any ideas on how to find these fixed points? or better yet any different method for determining which point is attracting and repelling without explicitly finding the points? I can use a graphical argument but would prefer to have a mathematical one if possible

Nah. I would look at it this way. The fixed points are where g(x)=\mu e^x - x=0. g(x) has a negative minimum at x_0 = log(\frac{1}{\mu}) and approaches \mu as x->0 and infinity as x->infinity. Sketch a graph. So there are two zeros. One is at an x value less than x_0 and one is greater. What's f&#039;(x_0)? What can you say about the derivatives at the two zeros?
 
Thanks for the reply Dick.

So if I am understanding you we have a minimum between the two zeroes, at ln(1/mu), and the value of the derivative of mu*e^x at this point is 1; Since we have two values on either side of this point which are higher than it, we can say the following about the derivative:

For the fixed point to the left of the minimum the derivative will have negative slope (since the graph of f is higher/larger at this point). Similarly for the zero to the right it will have positive slope. And there is the answer without explicitly finding the points.

I think that's it, right? Thanks a ton!
 
razmtaz said:
Thanks for the reply Dick.

So if I am understanding you we have a minimum between the two zeroes, at ln(1/mu), and the value of the derivative of mu*e^x at this point is 1; Since we have two values on either side of this point which are higher than it, we can say the following about the derivative:

For the fixed point to the left of the minimum the derivative will have negative slope (since the graph of f is higher/larger at this point). Similarly for the zero to the right it will have positive slope. And there is the answer without explicitly finding the points.

I think that's it, right? Thanks a ton!

No. That's not quite it. The slope is f&#039;(x) = \mu e^x. That's an increasing function and always positive since \mu &gt; 0. Please rethink that and try again.
 
Oops, guess I was thinking about g(x) = mu*e^x - x.

I guess I want to say that for f(x) = mu*e^x there is some fixed point a < x_0 (x_0 is the minimum of g(x)) and some fixed point b > x_0

Since the function is positive and increasing, and at the point x_0 its derivative is equal to 1, then for all input values less than x_0 (including a) its derivative will be less than one, so a will be an attracting fixed point.

Similarly, its increasing, so for values greater than x_0 (including b) it will have slope greater than one -> repelling
 
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  • #10
razmtaz said:
Oops, guess I was thinking about g(x) = mu*e^x - x.

I guess I want to say that for f(x) = mu*e^x there is some fixed point a < x_0 (x_0 is the minimum of g(x)) and some fixed point b > x_0

Since the function is positive and increasing, and at the point x_0 its derivative is equal to 1, then for all input values less than x_0 (including a) its derivative will be less than one, so a will be an attracting fixed point.

Similarly, its increasing, so for values greater than x_0 (including b) it will have slope greater than one -> repelling

That's more like it.
 
  • #11
Awesome, thanks!
 

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