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Let f be a completely monotonic function with $f(0)=1$, that is, $ f:[0, \infty) \rightarrow (0,1] $. My question is:

Is f log concave, that is, is $(logf)''<0$ or equivalently $ f f''< f'^2 $. ?

And what hapens if $f(0)=\infty$, that is if the function is: $ f:(0, \infty) \rightarrow (0,\infty) $.

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4 Answers 4

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A counterexample in the second case is $f(x) = e^{1/x}$. A counterexample in the first case is then $f(x) = e^{1/(x+1) - 1}$.

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  • $\begingroup$ Log of both examples is like 1/x, which satisfies the negative derivative condition. What am I missing that makes them counterexamples? Gerhard "Ask Me About System Design" Paseman, 2012.01.25 $\endgroup$ Commented Jan 25, 2012 at 19:36
  • $\begingroup$ Both functions are log-convex, not log-concave. $\endgroup$ Commented Jan 25, 2012 at 20:01
  • $\begingroup$ So then when the original poster says (log f)' < 0, they mean f is log convex? Gerhard "Sometimes Confuses Up And Down" Paseman, 2012.01.25 $\endgroup$ Commented Jan 25, 2012 at 21:07
  • $\begingroup$ The poster said (log f)''<0 (second derivative, not first). Although that's apparently the opposite of what was meant. $\endgroup$ Commented Jan 26, 2012 at 15:10
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Exercise 6 of this book shows that if $f: (0,\infty) \to \mathbb{R}$ is completely monotonic, then it must be log-convex. Hence, your second claim holds, with concavity replaced by convexity.

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  • $\begingroup$ Section 2.1 of the book. $\endgroup$
    – vesszabo
    Commented Jul 17 at 16:53
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Actually, I meant log-convex instead of log-concave. I missed a minus sign in my derivations and this led to the conjecture that log(f) should be concave. I have found a more complete answer in this paper:

Inequalities for Real Powers of Completely Monotonic Functions H. van Haeringen JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS Volume 210, Issue 1, 1 June 1997, Pages 102–113

Theorem 1 establishes a series of inequalities for the derivatives of c.m. functions. In particular, by taking n=0 and m=1 in 3.2 we get the log-convexity of f. I suggest to read this paper because of the relrevance of Theorem 1.

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A non-negative function $f(x)$ is said to be completely monotonic on an interval $I$ if $f(x)$ has derivatives of all orders on $I$ and \begin{equation*} 0\le(-1)^{n-1}f^{(n-1)}(x)<\infty \end{equation*} for all $x\in I$ and $n\in\mathbb{N}=\{1,2,3,\dotsc\}$.

If a function $f(x)$ is non-identically zero and completely monotonic on $(0,\infty)$, then $f(x)$ and its derivatives $f^{(n)}(x)$ for $n\in\mathbb{N}$ are impossibly equal to $0$ on $(0,\infty)$.

As for completely monotonic functions, there are two kinds of convexities:

  1. If a function $f(x)$ is completely monotonic on an interval $I$, by the above definition, it is trivial that the function $f(x)$ is surely convex, that is, $f''(x)\ge0$, on the interval $I$.
  2. If a function $f(x)$ is completely monotonic on the infinite interval $(0,\infty)$, then the derivative sequence $f^{(n)}(x)$ in $n\ge0$ for $x\in(0,\infty)$ is surely logarithmically convex in $n\ge0$, that is, \begin{equation} \frac{f^{(i)}(x)}{f^{(i+1)}(x)}\ge\frac{f^{(i+1)}(x)}{f^{(i+2)}(x)}, \quad i=0,1,2,\dotsc, \quad x\in(0,\infty). \end{equation}

A positive function $f(x)$ is said to be logarithmically completely monotonic on an interval $I$ if its logarithm $\ln f(x)$ satisfies \begin{equation*} 0\le(-1)^n[\ln f(x)]^{(n)}<\infty \end{equation*} for all $n\in\mathbb{N}$ on $I$.

A logarithmically completely function on an interval $I$ must be also completely monotonic on $I$, but not conversely.

The definition of logarithmically completely monotonic functions and the above relation between completely monotonic functions and logarithmically completely monotonic functions demonstrate that, if a function $f(x)$ is completely monotonic, but not logarithmically completely monotonic, on an interval $I$, then it is possible, but not sure, that the completely monotonic function $f(x)$ is logarithmically concave or logarithmically convex on $I$.

References

  1. C. Berg, Integral representation of some functions related to the gamma function, Mediterr. J. Math. 1 (2004), no. 4, 433--439; available online at https://doi.org/10.1007/s00009-004-0022-6.
  2. Bai-Ni Guo and Feng Qi, A property of logarithmically absolutely monotonic functions and the logarithmically complete monotonicity of a power-exponential function, University Politehnica of Bucharest Scientific Bulletin Series A---Applied Mathematics and Physics 72 (2010), no. 2, 21--30.
  3. D. S. Mitrinovic, J. E. Pecaric, and A. M. Fink, Classical and New Inequalities in Analysis, Kluwer Academic Publishers, Dordrecht-Boston-London, 1993; available online at https://doi.org/10.1007/978-94-017-1043-5. (Chapter XIII)
  4. Feng Qi and Chao-Ping Chen, A complete monotonicity property of the gamma function, Journal of Mathematical Analysis and Applications 296 (2004), no. 2, 603--607; available online at https://doi.org/10.1016/j.jmaa.2004.04.026.
  5. R. L. Schilling, R. Song, and Z. Vondracek, Bernstein Functions---Theory and Applications, 2nd ed., de Gruyter Studies in Mathematics 37, Walter de Gruyter, Berlin, Germany, 2012; available online at https://doi.org/10.1515/9783110269338.
  6. Y. Shuang, B.-N. Guo, and F. Qi, Logarithmic convexity and increasing property of the Bernoulli numbers and their ratios, Rev. R. Acad. Cienc. Exactas Fis. Nat. Ser. A Mat. RACSAM 115 (2021), no. 3, Paper No. 135, 12 pages; available online at https://doi.org/10.1007/s13398-021-01071-x.
  7. D. V. Widder, The Laplace Transform, Princeton University Press, Princeton, 1946. (Chapter IV)
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