Intersection of concave functions

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Discussion Overview

The discussion revolves around the intersection properties of two concave functions defined on the interval [0, l) or [0, ∞). Participants explore whether these functions can intersect finitely many times, considering various conditions such as continuity, monotonicity, and the nature of their definitions on open or closed intervals.

Discussion Character

  • Debate/contested
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

  • One participant questions whether two concave, increasing, and continuous functions can intersect finitely many times on the interval [0, l) and what changes if l is infinite.
  • Another participant suggests that if the functions intersect infinitely often, then their difference must have infinitely many zeros, proposing that continuous, monotone functions can exhibit this behavior.
  • There is a discussion about the importance of the interval's definition, particularly how it affects the possibility of infinite intersections.
  • Some participants propose examples of functions that could intersect multiple times, such as constructing a function from an infinite set of line segments.
  • Concerns are raised about the definitions of concave functions, with references to external definitions leading to confusion about specific examples like f(x) = 1/(1-x).
  • Participants discuss the implications of boundedness and smoothness on the number of intersections, with some arguing that boundedness may not significantly limit the intersections.
  • One participant suggests that conditions on higher derivatives might influence the intersection properties, though they express skepticism about the effectiveness of smoothness.

Areas of Agreement / Disagreement

Participants express differing views on the intersection properties of concave functions, with no consensus reached. Some argue for the possibility of infinite intersections under certain constructions, while others believe that boundedness and continuity may impose restrictions.

Contextual Notes

There are unresolved questions regarding the definitions of concave functions and the implications of continuity and monotonicity on intersections. The discussion also highlights the complexity of function behavior on different types of intervals.

hermanni
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Hi all,
I have a question. Suppose f : [ 0, l) [itex]\rightarrow[/itex] ℝ is concave , increasing and continuous where l < ∞ and g : [ 0, l) [itex]\rightarrow[/itex] ℝ is also concave, nondecreasing and continuous on the same interval. Can we claim that f and g intersect finitely many times in this interval (possibly 0) ? What if number l replaces with infinity?
Thanx in advance, H.
 
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This looks a bit like a homework question, so I'm not going to just give you the answer!

The important thing here is that the functions are defined on [0,1), not on [0,1]. In other words they can tend to infinity as ## x \rightarrow 1##.

EDIT: Sorry, I misread "concave" as "convex" here.
 
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Maybe it is helpful to say that if f=g infinitely-often, then h=f-g has infinitely-many

zeros in [0,l). Only continuous ,monotone function with infinitely-many zeros I can

think off is a function of the type d(x,S) , i.e., the distance function between a

point and a set. Edit: there is a result that every closed set is the zero set of a smooth function --

more so a continuous one, so there are a lot of options for h=f-g.

Also, if the functions are monotone, then they are a.e. differentiable,

so it may make sense to assume differentiability to see what happens.

Let me think it through some more, tho.
 
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AlephZero said:
This looks a bit like a homework question, so I'm not going to just give you the answer!

The important thing here is that the functions are defined on [0,1), not on [0,1]. In other words they can tend to infinity as ## x \rightarrow 1##.

Alephero, can you explain that last line (maybe give reference )? Also I think here being increasing is also important , I think only concaveness is not enough here.
 
and it's not a homework question but I need it as a part of an bigger argument :)) . AlephZero, your last line made me wonder : As far as I get, the domain is also important here. What if f, g : [0, ∞ ) [itex]\rightarrow[/itex] ℝ, can we claim they intersect finitely many times in [0,1) ? Here I guess there's no problem with right end point 1.
 
hermanni said:
Alephero, can you explain that last line (maybe give reference )? Also I think here being increasing is also important , I think only concaveness is not enough here.
For example take f(x) = 1/(1-x).

Define g(x) by an infinite set of straight line segments joined end to end on the intervals [0, 1/2], [1/2, 3/4], [3/4, 7/8], ...
You can make f(x) and g(x) intersect twice within each interval.

That type of example doesn't work if f(x) is defined on the closed interval [0,1] , because you can't define "##f(1) = \infty##".

You can make the same idea work for the interval [0, ∞ ). For example take. with ##f(x) = x^2##. If f(0) and f(1) ar both finite, this idea for getting an infinite number of intersections doesn't work. The theorem that a continuous function on a closed interval is uniformly continuous will probably come into a proof that there are only a finite number of intersections if f(0) and f(1) are both finite.

EDIT: Again, sorry, this is about convex functions not concave.
 
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AlephZero said:
For example take f(x) = 1/(1-x).

Define g(x) by an infinite set of straight line segments joined end to end on the intervals [0, 1/2], [1/2, 3/4], [3/4, 7/8], ...
You can make f(x) and g(x) intersect twice within each interval.

That type of example doesn't work if f(x) is defined on the closed interval [0,1] , because you can't define "##f(1) = \infty##".

You can make the same idea work for the interval [0, ∞ ). For example take. with ##f(x) = x^2##. If f(0) and f(1) ar both finite, this idea for getting an infinite number of intersections doesn't work. The theorem that a continuous function on a closed interval is uniformly continuous will probably come into a proof that there are only a finite number of intersections if f(0) and f(1) are both finite.

OK, my functions f and g are defined on [0, ∞) and I needed finiteness of number of intersections in [0, 1). They're both bounded, concave, increasing and BOUNDED on [0, ∞). I have now boundedness, can I claim finite # of intersections on [0,1)? I think I can do it for [0,1] based on what you said, here does endpoint 1 matter now?
 
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haruspex said:
Are we all using the same definition of concave? The definition I'm used to is the one at http://en.wikipedia.org/wiki/Concave_function. According to that, 1/(1-x) (on [0,1)) would be convex.
hermanni, please clarify.

Well, I'm using the same definition and you're right, I didn't read carefully and 1/1-x is convex.
 
  • #10
haruspex said:
Are we all using the same definition of concave? The definition I'm used to is the one at http://en.wikipedia.org/wiki/Concave_function. According to that, 1/(1-x) (on [0,1)) would be convex.

Oops. So ignore my comments about the open and closed intervals!

Bu I don't think this changes my assertioon that there can be an infinite number of intersections, with the conditions in the OP. Given a smooth enough function f(x) you can still construct a function g(x) from an infiite number of line segments, with an infinite number of intersections.

Of crosue the OP's functions may have some more properties we don't know about, which prevent this.
 
  • #11
AlephZero said:
Oops. So ignore my comments about the open and closed intervals!

Bu I don't think this changes my assertioon that there can be an infinite number of intersections, with the conditions in the OP. Given a smooth enough function f(x) you can still construct a function g(x) from an infiite number of line segments, with an infinite number of intersections.

(*)Of crosue the OP's functions may have some more properties we don't know about, which prevent this.

OK, I got the idea of construction, thank you very much.
(*) Do you think boundedness is one of these properties? If so, how can I show?
 
  • #12
hermanni said:
Do you think boundedness is one of these properties?
I don't think boundedness gets you far. Here's another construction:
Consider the points (1-1/n, 1-1/n2), n = 1, 3, 5... Join the dots with straight lines. Now do the same with n = 2, 4, 6... And smoothness is not going to help - it wouldn't be hard to smooth out the corners.
Conditions on higher derivatives might do it, but I'd be surprised.
 
  • #13
AlephZero said:
For example take f(x) = 1/(1-x).

Define g(x) by an infinite set of straight line segments joined end to end on the intervals [0, 1/2], [1/2, 3/4], [3/4, 7/8], ...
You can make f(x) and g(x) intersect twice within each interval.

That type of example doesn't work if f(x) is defined on the closed interval [0,1] , because you can't define "##f(1) = \infty##".

You can make the same idea work for the interval [0, ∞ ). For example take. with ##f(x) = x^2##. If f(0) and f(1) ar both finite, this idea for getting an infinite number of intersections doesn't work. The theorem that a continuous function on a closed interval is uniformly continuous will probably come into a proof that there are only a finite number of intersections if f(0) and f(1) are both finite.

EDIT: Again, sorry, this is about convex functions not concave.

I see, so the idea is that the function/curve is rectifiable, right?

How is f(x)=1/(1-x) non-decreasing?
 

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