Yahoo Answers is shutting down on May 4th, 2021 (Eastern Time) and beginning April 20th, 2021 (Eastern Time) the Yahoo Answers website will be in read-only mode. There will be no changes to other Yahoo properties or services, or your Yahoo account. You can find more information about the Yahoo Answers shutdown and how to download your data on this help page.

Putname Competition: Aftermath B?

For those of you who are not aware, the Putnam Collegiate Mathematics Competition was held today, from 10:00-6:00PM US Eastern Time (So these are now fair game :) )

Here is a second problem that piqued my fancy. I feel as though I got really close to a solution, but was unable to close. Here it is:

B5) Does there exist a strictly increasing function f : R --> R such that f'(x) = f(f(x)) ?

My notes & progress:

If f exists, there exists a quantity L in (-1, 0) such that:

f(x) --> L as x --> - infinity

f(L) = 0

Feel free to post explanations for my notes and/or full proofs. Again, no cheating!

2 Answers

Relevance
  • 1 decade ago
    Favorite Answer

    No such function exists. I will prove it by contradiction. The longest part of my proof is showing that f ' is bounded. Once I finish that, the proof is very short. Maybe you can think of better ways to do it.

    Proof that f ' is bounded:

    Suppose that there is a strictly increasing function f : R --> R such that f '[x]=f[f[x]] for all x in R (so f is differentiable). Then since f is strictly increasing, f '[x]>0 for all x, and looking at what f '[x] is equal to, it is differentiable with derivative f ' '[x]=f '[f[x]]*f '[x]>0. So f is convex.

    Since f is convex, it lies above all of its tangent lines, so for each b we get that

    f[x]>=f[b]+f '[b]*(x-b) for all real x. This line has positive slope, so it is eventually positive, and hence f is eventually positive. Fix B such that f[b]>0 for all b>B.

    By the convexity relation above, at x=f[b] we have f[f[b]]>=f[b]+f[f[b]]*(f[b]-b), so

    f[f[b]]*(1+b-f[b])>=f[b]. For all b>B, f[b]>0, so f[f[b]]*(1+b-f[b])>0, and f[f[b]]=f '[b]>0 implies that 1+b-f[b]>0. So f[b]-b<1 for all b>B. The function f[b]-b is convex (its second derivative is the same as that for f), so all of its tangent lines must have 0 or negative slope (if one had positive slope, f[b]-b would be above a line with positive slope, and hence would not be bounded above by 1 for large b). Thus, (f[b]-b)'=<0 for all b, which we can write as f '[b]=<1 for all b. Then f '[x] is in (0,1] for all x in R.

    Completing the proof that a function with these properties cannot exist:

    But f ' is also convex, since f ' ' '[x] = (f '[f[x]]*f '[x])' = f ' '[f[x]]*f '[x]^2+f '[f[x]]*f ' '[x]>0 for all x. So since f ' lies above its tangent lines, the slope f ' '[x] must be 0 at all x (since f ' is bounded above; the slope cannot even be negative this time, since for large negative x this would make f ' >1). This contradicts that f ' '[x]=f '[f[x]]*f '[x]>0 for all x.

    Thus, no such function exists.

  • 1 decade ago

    Since f is increasing, f' is increasing and so f is convex. There exist 2 constants A > 0 and B so that

    f(x) > Ax + B, hence f'(x) = f(f(x)) > A^2 x + C and f(x) > A^2 x^2 /2 + Cx + D.

    Now f'(x) / f(f(x) ) = 1, so it's integral diverges at infinity but

    int_[0,inf] f'(x) / f(f(x) ) dx = int [f(0), inf] 1/ f(x) dx.

    The divergence of this integral contradicts f(x) > A^2 x^2 /2 + Cx + D.

Still have questions? Get your answers by asking now.