1 Introduction

In the recent past, the bivariate means have been the subject of intensive research. In particular, many remarkable inequalities can be found in the literature [126].

The power mean M r (a, b) of order r of two positive numbers a and b is defined by

M r ( a , b ) = a r + b r 2 1 / r , r 0 , a b , r = 0 .
(1.1)

It is well-known that M r (a, b) is continuous and strictly increasing with respect to r ∈ ℝ for fixed a, b > 0 with ab. Let A(a, b) = (a + b)/2, G ( a , b ) = a b , H(a, b) = 2ab/(a + b), I(a, b) = 1/e(bb/aa )1/(b-a)(ba), I(a, b) = a (b = a), and L(a, b) = (b-a)/(log b- log a) (ba), L(a, b) = a (b = a) be the arithmetic, geometric, harmonic, identric, and logarithmic means of two positive numbers a and b, respectively. Then

min { a , b } H ( a , b ) = M - 1 ( a , b ) G ( a , b ) = M 0 ( a , b ) L ( a , b ) I ( a , b ) A ( a , b ) = M 1 ( a , b ) max { a , b }
(1.2)

for all a, b > 0, and each inequality becomes equality if and only if a = b.

The classical Heronian mean He(a, b) of two positive numbers a and b is defined by ([27], see also [28])

H e ( a , b ) = 2 3 A ( a , b ) + 1 3 G ( a , b ) = a + a b + b 3 .
(1.3)

In [27], Alzer and Janous established the following sharp double inequality (see also [[28], p. 350]):

M log 2 / log 3 ( a , b ) < H e ( a , b ) < M 2 / 3 ( a , b )

for all a, b > 0 with ab.

Mao [29] proved that

M 1 / 3 ( a , b ) < 1 3 A ( a , b ) + 2 3 G ( a , b ) < M 1 / 2 ( a , b )

for all a, b > 0 with ab, and M1/ 3(a, b) is the best possible lower power mean bound for the sum 1 3 A ( a , b ) + 2 3 G ( a , b ) .

For any α ∈ (0, 1), Janous [30] found the greatest value p and the least value q such that M p (a, b) < αA(a, b) + (1 - α)G(a, b) < M q (a, b) for all a, b > 0 with ab.

The following sharp bounds for L, I, (LI)1/ 2and (L + I)/ 2 in terms of power mean are given in [10, 2125, 31, 32]:

M 0 ( a , b ) < L ( a , b ) < M 1 / 3 ( a , b ) , M 2 / 3 ( a , b ) < I ( a , b ) < M log 2 ( a , b ) , M 0 ( a , b ) < L ( a , b ) I ( a , b ) < M 1 / 2 ( a , b ) , M log 2 / ( 1 + log 2 ) ( a , b ) < 1 2 [ L ( a , b ) + I ( a , b ) ] < M 1 / 2 ( a , b )

for all a, b > 0 with ab.

In [6, 7] the authors established the following sharp inequalities:

M - 1 / 3 ( a , b ) < 2 3 G ( a , b ) + 1 3 H ( a , b ) < M 0 ( a , b ) , M - 2 / 3 ( a , b ) < 1 3 G ( a , b ) + 2 3 H ( a , b ) < M 0 ( a , b ) , M 0 ( a , b ) < A α ( a , b ) L 1 - α ( a , b ) < M ( 1 + 2 α ) / 3 ( a , b ) , M 0 ( a , b ) < G α ( a , b ) L 1 - α ( a , b ) < M ( 1 - α ) / 3 ( a , b )

for all for all a, b > 0 with ab and α ∈ (0, 1).

For ω ≥ 0 and p ∈ ℝ the generalized Heronian mean Hp,ω(a, b) of two positive numbers a and b was introduced in [33] as follows:

H p , ω ( a , b ) = [ a p + ω ( a b ) p / 2 + b p ω + 2 ] 1 / p , p 0 , a b , p = 0 .
(1.4)

It is not difficult to verify that Hp,ω(a, b) is continuous with respect to p ∈ ℝ for fixed a, b > 0 and ω ≥ 0, strictly increasing with respect to p ∈ ℝ for fixed a, b > 0 with ab and ω ≥ 0, strictly decreasing with respect to ω ≥ 0 for fixed a, b > 0 with ab and p > 0 and strictly increasing with respect to ω ≥ 0 for fixed a, b > 0 with ab and p < 0.

From (1.1) and (1.3) together with (1.4) we clearly see that Hp,0(a, b) = M p (a, b), H p , 2 ( a , b ) = M p 2 ( a , b ) , H0,ω(a, b) = M0(a, b) and H1,1(a, b) = H e (a, b) for all a, b > 0 and ω ≥ 0.

The purpose of this article is to answer the question: For p, ω ∈ ℝ with ω > 0 and p(ω - 2) ≠ 0, what are the greatest value r1 = r1(p, ω) and the least value r2 = r2(p, ω) such that the double inequality M r 1 ( a , b ) < H p , ω ( a , b ) < M r 2 ( a , b ) holds for all a, b > 0 with ab?

2 Main result

In order to establish our main results we need the following Lemma 2.1.

Lemma 2.1. (see [30]). (ω + 2)2> 2ω+2for ω ∈ (0, 2), and (ω + 2)2< 2ω+2for ω ∈ (2, +).

Theorem 2.1. For all a, b > 0 with ab we have

M 2 ω + 2 p ( a , b ) < H p , ω ( a , b ) < M log 2 log ( ω + 2 ) p ( a , b )

for (p, ω) ∈ {(p, ω): p > 0, ω > 2} ∪ {(p, ω): p < 0, 0 < ω < 2} and

M 2 ω + 2 p ( a , b ) > H p , ω ( a , b ) > M log 2 log ( ω + 2 ) p ( a , b )

for (p, ω) ∈ {(p, ω): p > 0, 0 < ω < 2} ∪ {(p, ω): p < 0, ω > 2}, and the parameters 2 ω + 2 p and log 2 log ( ω + 2 ) p are the best possible in either case.

Proof. Without loss of generality, we can assume that a > b and put t= a b >1.

Firstly, we compare the value of M 2 ω + 2 p a , b with that of Hp,ω(a, b). From (1.1) and (1.4) we have

log [ M 2 ω + 2 p ( a , b ) ] - log [ H p , ω ( a , b ) ] = ω + 2 2 p log 1 + t 2 ω + 2 p 2 - 1 p log 1 + ω t p 2 + t p ω + 2 .
(2.1)

Let

f ( t ) = ω + 2 2 p log 1 + t 2 p 2 + ω 2 - 1 p log 1 + ω t p 2 + t p ω + 2 .
(2.2)

Then simple computations lead to

f ( 1 ) = 0 ,
(2.3)
f ( t ) = t 2 p ω + 2 g ( t ) 2 t ( 1 + t 2 p ω + 2 ) ( 1 + ω t p 2 + t p ) , g ( t ) = - 2 t ω p ω + 2 + ω t p 2 - ω t ω - 2 2 ( ω + 2 ) p + 2 ,
(2.4)
g ( 1 ) = 0 ,
(2.5)
g ( t ) = ω p t ( ω - 2 ) p 2 ( ω + 2 ) - 1 h ( t ) ,
(2.6)
h ( t ) = - 2 ω + 2 t p 2 + 1 2 t 2 p ω + 2 - ω - 2 2 ( ω + 2 ) , h ( 1 ) = 0 ,
(2.7)
h ( t ) = p ω + 2 t 2 p ω + 2 - 1 [ 1 - t ( ω - 2 ) p 2 ( ω + 2 ) ] .
(2.8)

We divide the comparison into two cases.

Case 1. If (p, ω) ∈ {(p, ω): p > 0, ω > 2} ∪ {(p, ω): p < 0, 0 < ω < 2}, then from (2.8) we clearly see that

h ( t ) < 0
(2.9)

for t > 1.

Therefore, M 2 ω + 2 p ( a , b ) < H p , ω ( a , b ) follows from (2.1)-(2.7) and (2.9).

Case 2. If (p, ω) ∈ {(p, ω): p > 0, 0 < ω < 2} ∪ {(p, ω): p < 0, ω > 2}, then (2.8) leads to

h ( t ) >0
(2.10)

for t > 1.

Therefore, M 2 ω + 2 p ( a , b ) > H p , ω ( a , b ) follows from (2.1)-(2.7) and (2.10).

Secondly, we compare the value of M log 2 log ( ω + 2 ) p ( a , b ) with that of Hp,ω(a, b). From (1.1) and (1.4) we have

log [ M log 2 log ( ω + 2 ) p ( a , b ) ] - log [ H p , ω ( a , b ) ] = log ( ω + 2 ) p log 2 log 1 + t log 2 log ( ω + 2 ) p 2 - 1 p log 1 + ω t p 2 + t p ω + 2 .
(2.11)

Let

F ( t ) = log ( ω + 2 ) p log 2 log 1 + t log 2 log ( ω + 2 ) p 2 - 1 p log 1 + ω t p 2 + t p ω + 2 .
(2.12)

Then simple computations lead to

F ( 1 ) = lim t + F ( t ) = 0 ,
(2.13)
F ( t ) = t log 2 log ( ω + 2 ) p G ( t ) t ( 1 + t log 2 log ( ω + 2 ) p ) ( 1 + ω t p 2 + t p ) ,
(2.14)
G ( t ) = - t ( 1 - log 2 log ( ω + 2 ) ) p + ω 2 t p 2 - ω 2 t 1 2 ( 1 - 2 log 2 log ( ω + 2 ) ) p + 1 ,
(2.15)
G ( 1 ) = 0 ,
(2.16)
G ( t ) = p t 1 2 ( 1 - 2 log 2 log ( ω + 2 ) ) p - 1 H ( t ) ,
(2.17)
H ( t ) = ( log 2 log ( ω + 2 ) - 1 ) t p 2 + ω 4 t log 2 log ( ω + 2 ) p - ω 4 ( 1 - 2 log 2 log ( ω + 2 ) ) ,
(2.18)
H ( 1 ) = ( ω + 2 ) log 2 2 log ( ω + 2 ) - 1 ,
(2.19)
H ( t ) = log 2 - log ( ω + 2 ) 2 log ( ω + 2 ) p [ t 1 2 ( 1 - 2 log 2 log ( ω + 2 ) ) p - ω log 2 2 ( log ( ω + 2 ) - log 2 ) ] × t log 2 log ( ω + 2 ) p - 1 .
(2.20)

We divide the comparison into four cases.

Case A. If p > 0 and ω > 2, then from (2.15) and (2.18)-(2.20) together with Lemma 2.1 we clearly see that

lim t + G ( t ) = - ,
(2.21)
lim t + H ( t ) = - ,
(2.22)
H ( 1 ) > 0 ,
(2.23)

and there exists a1> 1 such that

H ( t ) > 0
(2.24)

for t ∈ [1, a1) and

H ( t ) < 0
(2.25)

for t ∈ (a1, +).

From (2.24) and (2.25) we know that H(t) is strictly increasing in [1, a1] and strictly decreasing in [a1, +). Then (2.22) and (2.23) together with the monotonicity of H(t) imply that there exists a2> 1 such that H(t) > 0 for t ∈ [1, a2) and H(t) < 0 for t ∈ (a2, +). It follows from (2.17) that G(t) is strictly increasing in [1, a2] and strictly decreasing in [a2, +).

From (2.16) and (2.21) together with the monotonicity of G(t) we know that there exists a3> 1 such that G(t) > 0 for t ∈ (1, a3) and G(t) < 0 for t ∈ (a3, +). Then (2.14) leads to that F (t) is strictly increasing in [1, a3] and strictly decreasing in [a3, +).

Therefore, M log 2 log ( ω + 2 ) ( a , b ) > H p , ω ( a , b ) follows from (2.11)-(2.13) and the monotonicity of F (t).

Case B. If p > 0 and 0 < ω < 2, then (2.15) and (2.18)-(2.20) together with Lemma 2.1 lead to

lim t + G ( t ) = + ,
(2.26)
lim t + H ( t ) = + ,
(2.27)
H ( 1 ) < 0 ,
(2.28)

and there exists b1> 1 such that

H ( t ) < 0
(2.29)

for t ∈ [1, b1) and

H ( t ) > 0
(2.30)

for t ∈ (b1, +).

From (2.27)-(2.30) we clearly see that there exists b2> 1 such that H(t) < 0 for t ∈ [1, b2) and H(t) > 0 for t ∈ (b2, +). Then (2.17) implies that G(t) is strictly decreasing in [1, b2] and strictly increasing in [b2, +). It follows from (2.16) and (2.26) together with the monotonicity of G(t) that there exists b3> 1 such that G(t) < 0 for t ∈ (1, b3) and G(t) > 0 for t ∈ (b3, +). Then (2.14) leads to that F(t) is strictly decreasing in [1, b3] and strictly increasing in [b3, +).

Therefore, M log 2 log ( ω + 2 ) ( a , b ) < H p , ω ( a , b ) follows from (2.11)-(2.13) and the monotonicity of F (t).

Case C. If p < 0 and ω > 2, then it follows from (2.15) and (2.18)-(2.20) together with Lemma 2.1 that

lim t + G ( t ) = 1 ,
(2.31)
lim t + H ( t ) = ω 4 ( 2 log 2 log ( ω + 2 ) - 1 ) < 0 ,
(2.32)
H ( 1 ) > 0 ,
(2.33)
H ( t ) < 0
(2.34)

for t ∈ [1, +).

From (2.32)-(2.34) we clearly see that there exists c1> 1 such that H(t) > 0 for t ∈ [1, c1) and H(t) < 0 for t ∈ (c1, +). Then (2.17) implies that G(t) is strictly decreasing in [1, c1] and strictly increasing in [c1, +).

It follows from (2.16) and (2.31) together with the monotonicity of G(t) that there exists c2> 1 such that G(t) < 0 for t ∈ (1, c2) and G(t) > 0 for t ∈ (c2, +). Then (2.14) leads to that F (t) is strictly decreasing in [1, c2] and strictly increasing in [c2, +).

Therefore, M log 2 log ( ω + 2 ) ( a , b ) < H p , ω ( a , b ) follows from (2.11)-(2.13) and the monotonicity of F (t).

Case D. If p < 0 and 0 < ω < 2, then (2.15) and (2.18)-(2.20) together with Lemma 2.1 lead to

lim t + G ( t ) = - ,
(2.35)
lim t + H ( t ) = ω 4 ( 2 log 2 log ( ω + 2 ) - 1 ) >0,
(2.36)
H ( 1 ) < 0 ,
(2.37)
H ( t ) > 0
(2.38)

for t > 1.

From (2.17) and (2.36)-(2.38) we clearly see that there exists d1> 1 such that G(t) is strictly increasing in [1, d1] and strictly decreasing in [d1, +). It follows from (2.14), (2.16), (2.35) and the monotonicity of G(t) that there exists d2> 1 such that F (t) is strictly increasing in [1, d2] and strictly decreasing in [d2, +).

Therefore, M log 2 log ( ω + 2 ) ( a , b ) > H p , ω ( a , b ) follows from (2.11)-(2.13) and the monotonicity of F(t).

Thirdly, we prove that the parameter 2 ω + 2 p is the best possible in either case.

For any p, r ∈ ℝ with pr ≠ 0, ω ≥ 0 and x > 0, one has

log [ M r ( 1 , 1 + x ) ] - log [ H p , ω ( 1 , 1 + x ) ] = 1 r log 1 + ( 1 + x ) r 2 - 1 p log 1 + ω ( 1 + x ) p 2 + ( 1 + x ) p ω + 2 .
(2.39)

Let x → 0, then the Taylor expansion leads to

1 r log 1 + ( 1 + x ) r 2 - 1 p log 1 + ω ( 1 + x ) p 2 + ( 1 + x ) p ω + 2 = ( ω + 2 ) r - 2 p 4 ( ω + 2 ) x 2 + o ( x 2 ) .
(2.40)

If (p, ω) ∈{(p, ω): p > 0, ω > 2} ∪ {(p, ω): p < 0, 0 < ω < 2}, then equations (2.39) and (2.40) imply that for any r> 2 ω + 2 p there exists δ1 = δ1(r, p, ω) > 0 such that M r (1, 1 + x) > Hp,ω(1, 1 + x) for x ∈ (0, δ1).

If (p, ω) {(p, ω): p > 0, 0 < ω < 2} ∪ {(p, ω): p < 0, ω > 2}, then from (2.39) and (2.40) we know that for any r< 2 ω + 2 p there exists δ2 = δ2(r, p, ω) > 0 such that M r (1, 1 + x) < Hp, ω(1, 1 + x) for x ∈ (0, δ2).

Finally, we prove that the parameter log 2 log ( ω + 2 ) p is the optimal parameter in either case.

For any p, r ∈ ℝ with pr > 0, ω ≥ 0 and x > 0 we have

lim x + [ log M r ( 1 , x ) - log H p , ω ( 1 , x ) ] = 1 p log ( ω + 2 ) - 1 r log 2 .
(2.41)

If (p, ω) ∈ {(p, ω): p > 0, ω > 2} ∪ {(p, ω): p < 0, 0 < ω < 2}, then equation (2.41) implies that for any r< log 2 log ( ω + 2 ) p there exists X1 = X1(r, p, ω) > 1 such that M r (1, x) < Hp, ω(1, x) for x ∈ (X1, +).

If (p, ω) ω ∈ {(p, ω): p > 0, 0 < ω < 2} ∪ {(p, ω): p < 0, ω > 2}, then equation (2.41) leads to that for any r> log 2 log ( ω + 2 ) p there exists X2 = X2(r, p, ω) > 1 such that M r (1, x) > Hp, ω(1, x) for x ∈ (X2, +).