HOME

TheInfoList



OR:

In
real analysis In mathematics, the branch of real analysis studies the behavior of real numbers, sequences and series of real numbers, and real functions. Some particular properties of real-valued sequences and functions that real analysis studies include con ...
, a branch of mathematics, Gautschi's inequality is an
inequality Inequality may refer to: Economics * Attention inequality, unequal distribution of attention across users, groups of people, issues in etc. in attention economy * Economic inequality, difference in economic well-being between population groups * ...
for ratios of
gamma function In mathematics, the gamma function (represented by , the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial function to complex numbers. The gamma function is defined for all complex numbers except th ...
s. It is named after
Walter Gautschi Walter Gautschi (born December 11, 1927) is a Swiss-American mathematician, known for his contributions to numerical analysis. He has authored over 200 papers in his area and published four books. Born in Basel, he has a Ph.D. in mathematics f ...
.


Statement

Let be a positive real number, and let . Then :x^ < \frac < (x + 1)^.


History

In 1948, Wendel proved the inequalities :\left(\frac\right)^ \le \frac \le 1 for and . He used this to determine the asymptotic behavior of a ratio of gamma functions. The upper bound in this inequality is stronger than the one given above. In 1959, Gautschi independently proved two inequalities for ratios of gamma functions. His lower bounds were identical to Wendel's. One of his upper bounds was the one given in the statement above, while the other one was sometimes stronger and sometimes weaker than Wendel's.


Consequences

An immediate consequence is the following description of the asymptotic behavior of ratios of gamma functions: :\lim_ \frac = 1.


Proofs

There are several known proofs of Gautschi's inequality. One simple proof is based on the strict logarithmic convexity of Euler's gamma function. By definition, this means that for every and with u \neq v and every , we have :\Gamma(tu + (1 - t)v) < \Gamma(u)^t\Gamma(v)^. Apply this inequality with , , and . Also apply it with , , and . The resulting inequalities are: :\begin \Gamma(x + s) &< \Gamma(x)^\Gamma(x + 1)^s = x^\Gamma(x + 1), \\ \Gamma(x + 1) &< \Gamma(x + s)^s\Gamma(x + s + 1)^ = (x + s)^\Gamma(x + s). \end Rearranging the first of these gives the lower bound, while rearranging the second and applying the trivial estimate x + s < x + 1 gives the upper bound.


Related inequalities

A survey of inequalities for ratios of gamma functions was written by Qi. The proof by logarithmic convexity gives the stronger upper bound :\frac < (x + s)^. Gautschi's original paper proved a different stronger upper bound, :\frac \le \exp((1 - s)\psi(x + 1)), where \psi is the
digamma function In mathematics, the digamma function is defined as the logarithmic derivative of the gamma function: :\psi(x)=\frac\ln\big(\Gamma(x)\big)=\frac\sim\ln-\frac. It is the first of the polygamma functions. It is strictly increasing and strict ...
. Neither of these upper bounds is always stronger than the other. Kershaw proved two tighter inequalities. Again assuming that and , :\begin \left(x + \frac\right)^ &< \frac < \left - \frac + \left(s + \frac\right)^\right, \\ \exp\left((1 - s)\psi(x + s^)\right) &< \frac < \exp\left((1 - s)\psi\left(x + \frac(s + 1)\right)\right). \end Gautschi's inequality is specific to a quotient of gamma functions evaluated at two real numbers having a small difference. However, there are extensions to other situations. If and are positive real numbers, then the convexity of \psi leads to the inequality: :\frac(\psi(x) + \psi(y)) \le \frac \le \psi\left(\frac\right). For , this leads to the estimates :\exp\bigl((1 - s)\psi(x + s)\bigr) \le \frac \le \exp\left((1 - s)\psi\left(x + \frac(s + 1)\right)\right). A related but weaker inequality can be easily derived from the
mean value theorem In mathematics, the mean value theorem (or Lagrange theorem) states, roughly, that for a given planar arc between two endpoints, there is at least one point at which the tangent to the arc is parallel to the secant through its endpoints. It ...
and the monotonicity of \psi. A more explicit inequality valid for a wider class of arguments is due to Kečkić and Vasić, who proved that if , then: :\frace^ < \frac < \frace^. In particular, for , we have: :\frace^ < \frac < \frace^. Guo, Qi, and Srivastava proved a similar-looking inequality, valid for all :S. Guo, F. Qi, and H. M. Srivastava, ''Necessary and sufficient conditions for two classes of functions to be logarithmically completely monotonic,'' Integral Transforms and Special Functions, vol. 18, no. 11-12, pp. 819–826, 2007, https://dx.doi.org/10.1080/10652460701528933. :\frace^ < \frac < \frace^. For , this leads to: :\frace^ < \frac < \frace^.


References

{{reflist * Gautschi Walter, (1959), ''Some Elementary Inequalities Relating to the Gamma and Incomplete Gamma Function'', Journal of Mathematics and Physics, 38, doi:10.1002/sapm195938177. Gamma and related functions