Intersection of concave functions

In summary, the intersection of concave functions refers to the point where two concave functions intersect. This intersection can be used to find the optimal solution for a variety of mathematical problems, such as optimization and game theory. The intersection also has important applications in economics, where it is used to analyze consumer preferences and market equilibrium. Overall, understanding the intersection of concave functions is crucial in many fields, as it allows for efficient and effective decision-making processes.
  • #1
hermanni
25
0
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.
 
Physics news on Phys.org
  • #2
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.
 
Last edited:
  • #3
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.
 
Last edited:
  • #4
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.
 
  • #5
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.
 
  • #6
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.
 
Last edited:
  • #7
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?
 
Last edited:
  • #9
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?
 

FAQ: Intersection of concave functions

What is the definition of a concave function?

A concave function is a mathematical function that has a downward curvature, meaning that the slope of the function decreases as the input increases.

How is the intersection of two concave functions determined?

The intersection of two concave functions is determined by finding the point where the two functions intersect on a graph. This can be done by solving the equations for the two functions simultaneously.

Can two concave functions intersect at more than one point?

Yes, it is possible for two concave functions to intersect at more than one point. This can happen if the two functions have multiple points of downward curvature that coincide.

What is the significance of the intersection of concave functions?

The intersection of concave functions can provide valuable information about the behavior of the functions. It can indicate where the functions have similar values and where they diverge, and can also help in identifying critical points such as maxima and minima.

How does the intersection of concave functions relate to optimization problems?

The intersection of concave functions is closely related to optimization problems, as it can help in finding the optimal solution by identifying the points where the functions intersect. This is often used in economics, engineering, and other fields to find the best possible outcome for a given situation.

Back
Top