Mills ratio: Monotonicity patterns and functional inequalities

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1 J. Math. Anal. Appl. 340 (008) Mills ratio: Monotonicity patterns and functional inequalities Árpád Baricz Babeş-Bolyai University, Faculty of Economics, RO Cluj-Napoca, Romania Received 19 January 007 Available online 4 October 007 Submitted by U. Stadtmueller Dedicated to Professor Péter T. Nagy on the occasion of his sitieth birthday Abstract In this paper we study the monotonicity properties of some functions involving the Mills ratio of the standard normal law. From these we deduce some new functional inequalities involving the Mills ratio, and we show that the Mills ratio is strictly completely monotonic. At the end of this paper we present some Turán-type inequalities for Mills ratio. 007 Elsevier Inc. All rights reserved. Keywords: Normal distribution; Mills ratio; Monotone form of l Hospital s rule; Functional inequality; Complete monotonicity; Schwarz s inequality; Turán-type inequality 1. Introduction Let us consider the probability density function ϕ : R R and the reliability function Φ : R R of the standard normal law, defined by ϕ() := 1 π e / The function r : R (0, ), defined by r() := Φ() ϕ() = e / and Φ() := 1 ϕ(t)dt. π e t / dt, is known in literature as Mills ratio [19, Section.6] of the standard normal law, while its reciprocal 1/r, defined by 1/r() := ϕ()/φ(), is the so-called failure (hazard) rate. It is well known that Mills ratio is conve and strictly Research partially supported by the Institute of Mathematics, University of Debrecen, Hungary. address: bariczocsi@yahoo.com X/$ see front matter 007 Elsevier Inc. All rights reserved. doi: /j.jmaa

2 Á. Baricz / J. Math. Anal. Appl. 340 (008) decreasing on R, at the origin takes on the value r(0) = π/, and has tails described by the asymptotic epansion as r() This ratio is frequently used in mathematical statistics, please see for eample the paper of A. Feuerverger, M. Menzinger, H.L. Atwood and R.L. Cooper [1]. We note that various lower and upper bounds are known for this ratio, see [19, Section.6] and the references therein for results which refer to the problem of finding some simple functions which approimate r. The most known inequalities proved by R.D. Gordon [13] in 1941 are + 1 <r()< 1, (1.1) for all >0. Recently I. Pinelis [] using a version of the monotone form of l Hospital rule, i.e. Lemma.1 improved the inequality r() < 1/, showing that in fact the function r() is strictly increasing on (0, ). We note that in view of the derivative formula r () = r() 1 this implies that the first inequality in (1.1) holds. Motivated by Pinelis work in Section we show that using Pinelis idea we can deduce some other known bounds for Mills ratio, and in Lemma. we present a simple method to find other new functions which approimate r. Moreover, using the Pinelis version of the monotone l Hospital s rule we study the monotonicity of some functions involving the Mills ratio. As an application, at the end of Section we present an interesting chain of inequalities for Mills ratio. Finally, in Section 3 we prove that the Mills ratio is strictly completely monotonic on R and using Schwarz s inequality for integrals we deduce some Turán-type inequalities for nth derivative of Mills ratio.. Functional inequalities involving the Mills ratio Before we state our main results of this section let us enounce the following version of the monotone form of l Hospital rule due to I. Pinelis [4]. Lemma.1. Let a<b and let f and g be differentiable functions on (a, b). Assume that either g > 0 everywhere on (a, b) or g < 0 on (a, b). Furthermore, suppose that f(a + ) = g(a + ) = 0 or f(b ) = g(b ) = 0 and f /g is (strictly) increasing (decreasing) on (a, b). Then the ratio f/g is (strictly) increasing (decreasing) too on (a, b). We note that another version of monotone form of l Hospital rule was proved by G.D. Anderson, M.K. Vamanamurthy and M. Vuorinen [3,4]. Various versions of this monotone form of l Hospital rule was used since 198 in different areas of mathematics, for eample in 1. differential geometry [10,14],. quasiconformal analysis [3,4], 3. statistics and probability [,3,5], 4. analytic inequalities [,1]. The following result is an immediate application of Lemma.1 and provides a generalization of Proposition 1. due to I. Pinelis []. Lemma.. Let us consider the differentiable function h :[a, ) (0, ), where a R. Assume that for all a the product h()ϕ() is not constant and [hϕ] does not change sign, further lim h()ϕ() = 0. If the function g :[a, ) R, defined by g() := [ h() h () ] 1, has the limit 1 at infinity and is (strictly) increasing on [a, ), then for all a we have r() < h(). Moreover, when g is (strictly) decreasing the above inequality is reversed, i.e. for all a, we have r() > h().

3 1364 Á. Baricz / J. Math. Anal. Appl. 340 (008) Proof. Since the product h()ϕ() is not constant on [a, ) it follows that h() h () 0 for all [a, ), thus the function g makes sense. Suppose that g is (strictly) increasing. But lim h()ϕ() = lim Φ() = 0 and ϕ () = ϕ(), thus from the hypothesis it follows that the function Φ () [h()ϕ()] = ϕ() h ()ϕ() + h()ϕ () = g() is (strictly) increasing. Then applying the monotone form of l Hospital rule, i.e. Lemma.1 we conclude that the ratio r() h() = Φ() h()ϕ() is (strictly) increasing too on [a, ). Now using the l Hospital rule for limits we obtain that r() lim h() = lim Φ() h()ϕ() = lim Φ () [h()ϕ()] = lim g() = 1, which implies that for all a the inequality r() < h() holds. Analogously, when the function g is (strictly) decreasing, we have that the ratio r/h is (strictly) decreasing too, thus for all a we have the inequality r() > h(). An interesting application of Lemma. is the following result. Theorem.3. Let us consider the Mills ratio r of the standard normal law. Then for all 0 the following inequalities hold: <r()< (.4) Proof. We note that the above lower and upper bounds improve the bounds from (1.1) of R.D. Gordon [13]. The first inequality in (.4) was proved by Z.W. Birnbaum [8] and Y. Komatu [16], while the second inequality in (.4) is due to M.R. Sampford [7]. However, we give here a different proof for these bounds. For this let us consider the functions h 1,h :[0, ) (0, ), defined by h 1 () = and h () = Clearly we have that the functions h 1 ()ϕ() and h ()ϕ() are strictly decreasing on [0, ). Moreover, it is easy to verify that lim h 1()ϕ() = lim h ()ϕ() = 0. Now consider the functions g 1,g :[0, ) R, defined by g i () := [h i () h i ()] 1, where i = 1,. Easy computations show that g 1 () = ( ) and g () = + 8( ) 4[3( + 1) ]. Moreover, lim g 1 () = lim g () = 1 and for all 0wehave dg 1 () d dg () d = ( ) < 0, ( + 4) = [3( + 1) ] > 0.

4 Á. Baricz / J. Math. Anal. Appl. 340 (008) Here we used that the function q :[0, ) R, defined by q() = ( + 4 ) + 8, is strictly decreasing, i.e. for all 0wehave dq() d = 4 ( + 4) < 0. Consequently q() q(0) = 4 < 0, and hence the required monotonicity follows. Finally, using that g 1 is strictly decreasing and g is strictly increasing from Lemma. it follows that h 1 () < r() < h () for all 0. Thus the proof is complete. Another application of Lemma.1 is the following result. Theorem.5. The following assertions are true: (a) The Mills ratio r is strictly log-conve on R. (b) The function r ()/r() is strictly decreasing on (0, ). (c) The function r () is strictly decreasing on (0, 0 ) and is strictly increasing on ( 0, ), where is the unique positive root of the transcendent equation ( + )Φ() = ( + 1)ϕ(). (d) The function r () is strictly decreasing on (0, ). Proof. (a) Due to M.R. Sampford [7] we know that for all R we have (1/r()) < 1. Using the derivative formula r () = r() 1 we get (r ()/r()) = 1 (1/r()) > 0, i.e. the Mills ratio r is strictly log-conve on R. It is worth mentioning here that this above result can be derived too using Lemma.1. For this let us write the quotient r ()/r() as follows r () r() Φ() ϕ() =. Φ() Since lim [Φ() ϕ()]=lim Φ() = 0, using Lemma.1 it is enough to show that [Φ() ϕ()] [Φ()] = Φ() ϕ() = r() is strictly increasing, which is clearly true. (b) To prove the required result let us write the quotient r ()/r() as follows r () r() = Φ() ϕ(). Φ() Clearly we have lim [ Φ() ϕ()]=lim Φ() = 0, and the function [ Φ() ϕ()] [Φ()] = ϕ() Φ() ϕ() = 1 r() is strictly decreasing on (0, ), because from Lemma.1 we have that [, Proposition 1.] the function r() is strictly increasing on (0, ). In view of Lemma.1 this shows that the function r ()/r() is strictly decreasing on (0, ). (c) To prove the required result we need to use instead of Lemma.1 a more general monotone form of l Hospital s rule due to I. Pinelis [5, Theorem 1.16], please see also the recent work of I. Pinelis [0]. For this let us write the product r () as follows: s 1 () := r () = r() 1 1/ = Φ() ϕ()/ ϕ()/.

5 1366 Á. Baricz / J. Math. Anal. Appl. 340 (008) Since for all >0wehave [ ] ϕ() d ϕ() d = 1 (1 3 + ) ϕ () < 0, to prove that r () is strictly decreasing on (0, 0 ) and is strictly increasing on ( 0, ), in view of [5, Remark 1.17] and [5, Theorem 1.16], it suffices to show that the function s () := [Φ() ϕ()/] [ϕ()/ ] = + is strictly decreasing on (0, ) and is strictly increasing on (, ), which is clearly true. With other words we proved that the waves of s 1 follows the waves of s. We note that the behaviour of the roots, i.e. the inequality 0 < is necessary, because in view of [5, Remark 1.15] s 1 may switch from decrease to increase only on intervals of decrease of s. (d) Let us write the product r () as follows r () = r() 1 Φ() ϕ()/ 1/ = ϕ()/ 3. Since lim [Φ() ϕ()/]=lim ϕ()/ 3 = 0, from monotone form of l Hospital rule, i.e. Lemma.1 it is enough to show that [Φ() ϕ()/] [ϕ()/ 3 ] = is strictly decreasing on (0, ), which is true. With this the proof is complete. An immediate application of Theorem.5 is the following result. Corollary.6. If,y > 0, then the following chain of inequalities holds ( ) r()r(y) + y r()+ r(y) r r()r(y) r( ( ) r()+ r(y) y y ) r. (.7) + y Moreover, the first, second, third and fifth inequalities hold for all,y strict positive real numbers, while the fourth inequality is reversed if,y (0, 0 ). In each of the above inequalities equality holds if and only if = y. Proof. Observe that the first inequality in (.7) follows from the strict conveity of the failure rate 1/r on (0, ), which was proved by M.R. Sampford [7]. For the second inequality in (.7) we use that from part (a) of Theorem.5 the function r is strictly log-conve on (0, ). To prove the third inequality recall that from part (b) of Theorem.5 we know that the function r ()/r() is strictly decreasing on (0, ). This implies that the Mills ratio is strictly multiplicatively concave on (0, ), i.e. for all,y > 0 and λ (0, 1), the inequality r( λ y 1 λ ) [r()] λ [r(y)] 1 λ holds. Here we used part 5 of Corollary.5 due to G.D. Anderson, M.K. Vamanamurthy and M. Vuorinen [1]. We use again Corollary.5 from [1], namely part 4, in order to prove the fourth inequality in (.7). More precisely if the function r () is strictly increasing (decreasing respectively) then we have that the fourth inequality in (.7) (and its reverse respectively) holds. Now from part (c) of Theorem.5 the asserted monotonicity follows. Finally, observe that for the last inequality in (.7) it is enough to show that r(1/) is strictly concave, i.e. using part 7 of Corollary.5 from [1] the function r () is strictly decreasing, which is proved in part (d) of Theorem.5. From the strict conveity of 1/r, strict log-conveity, strict multiplicatively concavity of r, strict monotonicity of r () and strict concavity of r(1/) we deduce that equality holds in (.7) if and only if = y.

6 Á. Baricz / J. Math. Anal. Appl. 340 (008) Complete monotonicity of Mills ratio Let r 0 () := 0 for all >0. Further for all n 1 and >0 let us consider the nth initial segment of the Laplace continuous fraction for Mills ratio 1 r n () := n 1 In [] I. Pinelis using the monotone form of l Hospital rule investigated monotonicity properties of the relative error δ n () := (r() r n ())/r() and among other things proved that [, Theorem 1.5] for all n 0 and all >0 we have ( 1) n δ n > 0. Observe that this inequality is actually equivalent with the following result of L.R. Shenton [8, Eq. (19)] r n () < r() < r n+1 (), (3.1) where n 1 and >0. In what follows we show that the inequality ( 1) n δ n > 0, or (3.1) is in fact equivalent with the strict complete monotonicity of Mills ratio on (0, ). Moreover, we show that Mills ratio is strictly completely monotonic on R, and we obtain some Turán-type inequalities for nth derivative of Mills ratio. Before we state our last main result of this paper let us recall the following inequality for Legendre polynomials [ ( 1) n P n () = dn d n n! n ], that is [ Pn+1 () ] Pn ()P n+ () which holds for all [ 1, 1] and n = 0, 1,,... This inequality is known in literature as Turán s inequality [30] and has been etended in many directions for various orthogonal polynomials and special functions. For more information about this the interested reader is referred to the papers of the author [5,6] as well as to the work of A. Laforgia and P. Natalini [18], where Schwarz inequality (3.7) is used among other things to prove some interesting reversed Turántype inequalities for generalized elliptic integrals, modified Bessel functions of the first kind, confluent hypergeometric functions, polygamma function and Riemann zeta function. Theorem 3.. Let be a real number and n 1 a natural number. Further let r (n) be the nth derivative of Mills ratio and let us consider the epression Δ n = ( 1) n r (n) (). Then the Mills ratio is strictly completely monotonic on R, i.e. Δ n > 0, and satisfies the following reversed Turán-type inequality Δ n Δ n+ [Δ n+1 ]. (3.3) Moreover the function r (n) () is strictly log-conve on R and consequently in view of (3.3) the following Turán-type inequalities hold: Δ n 1 Δ n+1 [Δ n ] Proof. Let us consider the following integral: γ n () := ( t) n ϕ(t)dt = ( 1) n n n + 1 Δ n 1 Δ n+1. (3.4) (t ) n ϕ(t)dt, R, n 1. (3.5)

7 1368 Á. Baricz / J. Math. Anal. Appl. 340 (008) Then it is known that [8, Eq. (1)] r (n) () = γ n ()ϕ(), and hence 0 <Δ n = ( 1) n r (n) () = ( 1) n γ n ()ϕ() = ϕ() We note here that actually r() = e / e t / dt = 0 (t ) n ϕ(t)dt. e t e t / dt, (3.6) i.e. Mills ratio r is the Laplace transform of the function t e t /. Thus using the classical Bernstein theorem [11], which characterizes completely monotonic functions as Laplace transforms of positive measures whose support is contained in [0, ), we conclude that r is indeed strictly completely monotonic. Now consider the following form of the Schwarz inequality: b a f(t) [ g(t) ] b α dt a f(t) [ g(t) ] [ b β dt a f(t) [ g(t) ] α+β dt], (3.7) where f and g are two nonnegative functions of a real variable defined on [a,b], α and β are real numbers such that the integrals eist. Then taking in (3.7) α = n, β = n +, a=, b =, and for all R fied, f(t)= ϕ(t) and g(t) = t, where t [, ], we obtain that ϕ(t)(t ) n dt ϕ(t)(t ) n+ dt [ ϕ(t)(t ) n+1 dt holds, which is equivalent with inequality (3.3). Now changing n with n 1 in (3.3) immediately we get the first inequality in (3.4). Observe that to prove that the function r (n) () is log-conve on R it is enough to show that Δ n Δ n+ [Δ n+1 ] holds, which is eactly (3.3). Now for the strict log-conveity of the function r (n) () observe that using mathematical induction from (3.6) we have r (n) () = ( 1) n r (n) () = 0 e t t n e t / dt. Let us observe that the integrand in the above integral is log-conve in. Thus r (n) () is strictly log-conve by Theorem B-6 in [9, p. 96]. On the other hand from (3.5) easily follows that for all n 1wehaveγ n = nγ n 1. Thus from the log-conveity of r (n) () we obtain that [ r (n+1) [ ] () γn+1 () 0 d d [ log r (n) () ] = d d r (n) () ] = d d γ n () = (n + 1)[γ n()] [γ n ()] (n)γ n 1()γ n+1 () [γ n ()], i.e. the second inequality in (3.4) holds. Thus the proof is complete. Concluding remarks. 1. Consider the following polynomial epressions f n and g n defined by the following formulas: g 0 () = 1; f 0 () = 0; g 1 () = ; f 1 () = 1; f n () = f n 1 () + (n 1)f n () and g n () = g n 1 () + (n 1)g n (), where R, n. It is easy to verify that [, Lemma.] for all n 1 and R f n () = f n() + nf n 1 () g n () and g n () = ng n 1(). (3.8) ]

8 Á. Baricz / J. Math. Anal. Appl. 340 (008) Due to L.R. Shenton [8, Eq. (17)] it is known that r n () = f n ()/g n (), moreover from general properties of continuous fractions [8, Eq. (19)] we have that (3.1) holds. As we have seen in Theorem.3 some known approimations for Mills ratio can be deduced easily using the monotone form of l Hospital rule. We note that with the second inequality in (3.1) the situation is the same. In what follows we would like to present an alternative proof of this inequality using Lemma.. For this let us consider the function h u : (0, ) (0, ), defined by h u () := r n+1 () = f n+1() g n+1 (), where n 1. Since for all n 1 and R we have [8, Eq. (18)] f n ()g n 1 () g n ()f n 1 () = ( 1) n 1 (n 1)!, in view of (3.8) it is easy to verify that [ hu ()ϕ() ] [ = ϕ() h u () h u () ] ] (n + 1)! = ϕ()[ [g n+1 ()] + 1 < 0, i.e. for all >0the product h u ()ϕ() is not constant and [h u ϕ] does not change sign, further lim h u ()ϕ() = 0. Now consider the function g u : (0, ) (0, ), defined by 1 g u () = h u () h u () = [g n+1 ()] (n + 1)!+[g n+1 ()]. Then the function g u has the limit 1 at infinity and simple computations shows that g u () = (n + 1)(n + 1)!g n()g n+1 () [(n + 1)!+[g n+1 ()] ] > 0, thus from Lemma. we have that r() < h u () = r n+1 ().. A positive function f is called strictly logarithmically completely monotonic [6] on an interval I if f has derivatives of all orders on I and its logarithm log f satisfies ( 1) n [log f()] (n) > 0, for all I and n 1. Note that a strictly logarithmically completely monotonic function is always strictly completely monotonic, but not conversely. Recently, C. Berg [7] pointed out that the logarithmically complete monotonic functions in fact are the same as those studied by R.A. Horn [15] under the name infinitely divisible completely monotonic functions. It is worth mentioning here that using the results of M.R. Sampford [7], i.e. inequalities (1/r()) < 1 and (1/r()) > 0, it is easy to verify that for all R we have ( 1) n [log r()] (n) > 0, where n = 1,, 3. All the same, as C. Berg pointed out in private communication, the Mills ratio is not logarithmically completely monotonic, because in [9, p. 16] it is proved that the half-normal density is not infinitely divisible and this means that the Mills ratio r is not logarithmically completely monotonic. Finally, we note that after this manuscript had been completed we found on the preprint server the paper of O. Kouba [17], where the complete monotonicity of r and the strict log-conveity of r (n) () were proved among other things using a different approach. Acknowledgments I am grateful to Professor Christian Berg for calling my attention to reference [9] and to the above interesting information concerning the infinite divisibility of Mills ratio. I am also very grateful to the anonymous referee for his/her many helpful suggestions and constructive comments, especially for his/her contribution to the proof of Theorem.5. Finally, I epress my sincere thanks to Professor Péter T. Nagy for his continuous support and encouragement. References [1] G.D. Anderson, M.K. Vamanamurthy, M. Vuorinen, Generalized conveity and inequalities, J. Math. Anal. Appl. 335 () (007) [] G.D. Anderson, M.K. Vamanamurthy, M. Vuorinen, Monotonicity rules in calculus, Amer. Math. Monthly 113 () (006) [3] G.D. Anderson, M.K. Vamanamurthy, M. Vuorinen, Conformal Invariants, Inequalities, and Quasiconformal Maps, John Wiley & Sons, New York, [4] G.D. Anderson, M.K. Vamanamurthy, M. Vuorinen, Inequalities for quasiconformal mappings in space, Pacific J. Math. 160 (1) (1993) [5] Á. Baricz, Turán type inequalities for generalized complete elliptic integrals, Math. Z. 56 (4) (007)

9 1370 Á. Baricz / J. Math. Anal. Appl. 340 (008) [6] Á. Baricz, Functional inequalities involving Bessel and modified Bessel functions of the first kind, Epo. Math., submitted for publication. [7] C. Berg, Integral representation of some functions related to the gamma function, Mediterr. J. Math. 1 (004) [8] Z.W. Birnbaum, An inequality for Mills ratio, Ann. Math. Statistics 13 (194) [9] B.C. Carlson, Special Functions and Applied Mathematics, Academic Press, New York, [10] J. Cheeger, M. Gromov, M. Taylor, Finite propagation speed, kernel estimates for functions of the Laplace operator, and the geometry of complete Riemannian manifolds, J. Differential Geom. 17 (198) [11] W. Feller, An Introduction to Probability Theory and Its Applications, vol., John Wiley, New York, [1] A. Feuerverger, M. Menzinger, H.L. Atwood, R.L. Cooper, Statistical methods for assessing the dimensions of synaptic vesicles in nerve terminals, J. Neurosci. Methods 103 (000) [13] R.D. Gordon, Values of Mills ratio of area bounding ordinate and of the normal probability integral for large values of the argument, Ann. Math. Statistics 1 (1941) [14] M. Gromov, Isoperimetric inequalities in Riemannian manifolds, in: Asymptotic Theory of Finite Dimensional Spaces, in: Lecture Notes in Math., vol. 100, Springer, Berlin, 1986, Appendi I, pp [15] R.A. Horn, On infinitely divisible matrices, kernels and functions, Z. Wahrscheinlichkeitstheorie Verw. Geb. 8 (1967) [16] Y. Komatu, Elementary inequalities for Mills ratio, Rep. Statist. Appl. Res. Un. Jap. Sci. Engrs. 4 (1955) [17] O. Kouba, Inequalities related to the error function, [18] A. Laforgia, P. Natalini, Turán type inequalities for some special functions, JIPAM. J. Inequal. Pure Appl. Math. 7 (1) (006), Article 3, 3 pp. (electronic). [19] D.S. Mitrinović, Analytic Inequalities, Springer-Verlag, Berlin, [0] I. Pinelis, On l Hospital-type rules for monotonicity, JIPAM. J. Inequal. Pure Appl. Math. 7 () (006), Article 40, 19 pp. (electronic). [1] I. Pinelis, L Hospital rules for monotonicity and the Wilker Anglesio inequality, Amer. Math. Monthly 111 (004) [] I. Pinelis, Monotonicity properties of the relative error of a Padé approimation for Mills ratio, JIPAM. J. Inequal. Pure Appl. Math. 3 () (00), Article 0, 8 pp. (electronic). [3] I. Pinelis, L Hospital type rules for monotonicity: Applications to probability inequalities for sums of bounded random variables, JIPAM. J. Inequal. Pure Appl. Math. 3 (1) (00), Article 7, 9 pp. (electronic). [4] I. Pinelis, L Hospital s rules for monotonicity, with applications, JIPAM. J. Inequal. Pure Appl. Math. 3 (1) (00), Article 5, 5 pp. (electronic). [5] I. Pinelis, L Hospital type rules for oscillation, with applications, JIPAM. J. Inequal. Pure Appl. Math. (3) (001), Article 33, 4 pp. (electronic). [6] F. Qi, B.N. Guo, Complete monotonicities of functions involving the gamma and digamma functions, RGMIA Res. Rep. Coll. 7 (1) (004), Article 8, pp (electronic). [7] M.R. Sampford, Some inequalities on Mills ratio and related functions, Ann. Math. Statistics 4 (1953) [8] L.R. Shenton, Inequalities for the normal integral including a new continued fraction, Biometrika 41 (1954) [9] F.W. Steutel, K. van Harn, Infinite Divisibility of Probability Distributions on the Real Line, Marcel Dekker, New York, 004. [30] P. Turán, On the zeros of the polynomials of Legendre, Casopis Pest. Mat. Fys. 75 (1950)

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