Home Inequalities for the generalized trigonometric functions with respect to weighted power mean
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Inequalities for the generalized trigonometric functions with respect to weighted power mean

  • Genhong Zhong and Xiaoyan Ma EMAIL logo
Published/Copyright: June 18, 2025
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Abstract

The generalized trigonometric functions occur as an eigenfunction of the Dirichlet problem for the one-dimensional p -Laplacian. In this study, the authors investigate some weighted power mean inequalities for the p -generalized trigonometric functions with certain conditions on the parameters p , λ .

MSC 2010: 26E60; 26D05

1 Introduction

In 1995, Lindqvist studied the generalized trigonometric and hyperbolic functions ( p -functions) for a parameter p > 1 [1], and they coincide with elementary functions for p = 2 . These p -functions have been investigated from different points of view (cf. [2,3]). It is worth mentioning that the multiple-angle formulas and double-angle formulas of the generalized trigonometric and hyperbolic functions have been obtained [46]. Some inequalities of the Kober and Lazarević type, the Wilker and Cusa type, the Redheffer-type, and the Huygens-type have been established via these functions (cf. [711]). Recently, many generalizations, improvements, and refinements of the trigonometric functions have attracted much interest (cf. [1215]).

For the formulation of our main results, we recall the following definitions of p -trigonometric functions (see [16]), such as the generalized p -sine function, the generalized p -cosine function, the generalized p -tangent function, and their inverses.

For p > 1 , the generalized p-sine function sin p x : [ 0 , π p 2 ] [ 0 , 1 ] is defined by the inverse of the function

arcsin p x = 0 x 1 ( 1 t p ) 1 p d t .

The generalized p -sine function can be extended to a periodic function ( , ) with the period 2 π p , where π p (a kind of generalized π ) is given by

π p = 2 arcsin p 1 = 2 0 1 1 ( 1 t p ) 1 p d t = 2 p B 1 p , 1 1 p = 2 π p sin ( π p ) ,

and

B ( a , b ) = Γ ( a ) Γ ( b ) Γ ( a + b ) , Γ ( x ) = 0 t x 1 e t d t

are the beta and gamma functions (cf. [1719]), respectively. The generalized p -sine function sin p and π p appear in the eigenfunction of the Dirichlet problem for one-dimensional p -Laplacian function (cf. [20,21])

(1) d d x d u d x p 2 d u d x + λ u p 2 u = 0 , u ( 0 ) = u ( 1 ) = 0 .

The eigenvalues of (1) are given as λ n = ( p 1 ) ( n π p ) p for each n N , and the corresponding eigenfunction to λ n is u n ( x ) = sin p ( n π p x ) .

The generalized p-cosine function cos p x : [ 0 , π p 2 ] [ 0 , 1 ] is defined by

(2) cos p x = d d x sin p x .

If x [ 0 , π p 2 ] , then

(3) sin p p x + cos p p x = 1 .

The generalized p-tangent function tan p x : ( 0 , π p 2 ) ( 0 , ) is defined by

(4) tan p x = sin p x cos p x .

Now, we recall the definition of the weighted power mean. For x , y ( 0 , ) , ω ( 0 , 1 ) , and λ R , the weighted power mean M λ of order λ is defined by

(5) M λ = M λ ( ω , x , y ) = [ ω x λ + ( 1 ω ) y λ ] 1 λ , λ 0 , x ω y 1 ω , λ = 0 .

As special cases, we have

M λ ( 1 2 , x , y ) = H λ ( x , y ) , M 1 = M 1 ( 1 2 , x , y ) = A ( x , y ) , M 0 = M 0 ( 1 2 , x , y ) = G ( x , y ) , M 1 = M 1 ( 1 2 , x , y ) = H ( x , y ) ,

where

H λ ( x , y ) = x λ + y λ 2 1 λ , λ 0 , x y , λ = 0 ,

A ( x , y ) = x + y 2 , G ( x , y ) = x y , H ( x , y ) = 2 x y x + y

are the Hölder mean of order λ , the Arithmetic, Geometric, harmonic means of x and y, respectively. The main properties of the weighted power mean were given in [2225]. And some power mean inequalities for the complete and the generalized elliptic integrals (cf. [2629]) and the other special functions (cf. [30,31]) have been found.

Let I ( 0 , ) be an interval and f : I ( 0 , ) be a continuous function. Then, f is said to be M a , b -convex (concave) on I if the inequality

(6) f ( M a ( x , y ) ) ( ) M b ( f ( x ) , f ( y ) )

holds for all x , y I . Actually, M 0,0 -convex (concave) is equivalent to G G -convex (concave), M 1,1 -convex (concave) is equivalent to A A -convex (concave), and so on.

In the past few years, numerous authors have studied the M a , b -convexity (concavity) properties for the generalized trigonometric functions (cf. [3236]). For example, in 2012, Bhayo and Vuorinen raised a conjecture that the generalized sine function with two parameters sin p , q x , ( sin p , p ( x ) = sin p x ) is GG-convex on ( 0 , 1 ) for p , q ( 1 , ) [34]. In 2013, Jiang et al. verified this conjecture [35]. Later, Bhayo proved that the convexity/concavity properties of the generalized p -sine function sin p x , the generalized p -cosine function cos p x , and the generalized p -tangent function tan p x with respect to the Hölder mean for p ( 1 , ) and λ [ 1 , ) , respectively [36].

In this study, we show that the generalized p -sine function, the generalized p -cosine function, and the generalized p -tangent function are M λ , λ -convex/concave, and we obtain the weighted power mean inequalities for them. Our main results are the following theorems.

Theorem 1.1

For λ p , p > 1 , and ω ( 0 , 1 ) , the inequality

(7) sin p ( M λ ( ω , x , y ) ) M λ ( ω , sin p x , sin p y )

holds for all x , y ( 0 , π p 2 ) , with equality holds if and only if x = y .

Theorem 1.2

For λ p 2 , p 2 , and ω ( 0 , 1 ) , the inequality

(8) cos p ( M λ ( ω , x , y ) ) M λ ( ω , cos p x , cos p y )

holds for all x , y ( 0 , π p 2 ) , and for λ p , inequality (8) is reversed, with equality holds if and only if x = y .

Theorem 1.3

For λ 1 p , p > 1 , and ω ( 0 , 1 ) , inequality

(9) tan p ( M λ ( ω , x , y ) ) M λ ( ω , tan p x , tan p y )

holds for all x , y ( 0 , π p 2 ) , and for λ p , inequality (9) is reversed, with equality holds if and only if x = y .

2 Preliminaries

In this section, we give five lemmas needed in the proofs of our main results. First, let us recall the following well-known formulas (cf. [3]): For all p ( 1 , ) , x ( 0 , π p 2 ) ,

(10) d d x cos p x = cos p 2 p x sin p p 1 x ,

(11) d d x tan p x = 1 + tan p p x .

Lemma 2.1

For p > 1 , we have

  1. The function f 1 ( x ) = sin p x x is strictly decreasing from ( 0 , π p 2 ) to ( 2 π p , 1 ) .

  2. The function f 2 ( x ) = tan p x x is strictly increasing from ( 0 , π p 2 ) to ( 1 , ) .

  3. The function f 3 ( x ) = ( tan p x x ) ( x tan p p x ) is decreasing from ( 0 , π p 2 ) to ( 0 , 1 ( 1 + p ) ) .

  4. The function f 4 ( x ) = tan p x cos p p x + p x is concave and increasing from ( 0 , π p 2 ) to ( 0 , p π p 2 ) .

Proof

Part (1), part (2), and part (3) follow from [3, Lemma 3.32 (1), (2)] and the proof of [3, Theorem 3.6], respectively.

(4) By (3), (10), and (11), differentiation gives

f 4 ( x ) = p + 1 p sin p p x = p cos p p x + 1 ,

which is decreasing from ( 0 , π p 2 ) to ( 1 , p + 1 ) . Hence, the monotonicity and convexity properties of f 4 follow. Clearly, f 4 ( 0 ) = 0 and f 4 ( π p 2 ) = p π p 2 .□

Lemma 2.2

For p > 1 and λ R , the function f λ is defined on ( 0 , π p 2 ) by

f λ ( x ) = sin p x x λ 1 cos p x .

Then, the following statements are true:

  1. If λ p , the function f λ ( x ) is decreasing from ( 0 , π p 2 ) to ( 0 , 1 ) .

  2. If λ < p , then there exists a unique x 0 ( 0 , π p 2 ) such that f λ ( x ) is increasing on ( 0 , x 0 ] and decreasing on [ x 0 , π p 2 ) .

Proof

Clearly, f λ ( 0 + ) = 1 and f λ ( π p 2 ) = 0 . We now prove the result for f λ by investigating three cases.

Case i. λ 1 .

The monotonicity of f λ ( x ) follows from Lemma 2.1 (1).

Case ii. p λ < 1 .

By logarithmic differentiation in x , we obtain

(12) f λ ( x ) f λ ( x ) = ( λ 1 ) cos p x sin p x 1 x cos p 1 p x sin p p 1 x = ( 1 λ ) tan p x x x tan p x tan p p 1 x .

Therefore,

(13) f λ ( x ) f λ ( x ) tan p p 1 x = ( 1 λ ) tan p x x x tan p p x 1 = ( 1 λ ) f 3 ( x ) 1 ,

where f 3 ( x ) is in Lemma 2.1 (3). Let φ 1 ( x ) = ( 1 λ ) f 3 ( x ) 1 , then φ 1 is decreasing from ( 0 , π p 2 ) to ( 1 , ( λ + p ) ( 1 + p ) ) . For x ( 0 , π p 2 ) and λ [ p , 1 ) , we obtain f ( x ) < 0 by (13) and Lemma 2.1 (3). Hence, the monotonicity property of f λ follows.

Case iii. λ < p .

This case shows that φ 1 has a unique zero x 0 ( 0 , π p 2 ) , which is the solution to the equation φ 1 ( x ) = 0 such that f λ ( x ) is increasing on ( 0 , x 0 ] and decreasing on [ x 0 , π p 2 ) . Hence, we obtain the piecewise monotonicity property of f λ .

Consequently, the result for f λ follows from the investigations in Cases i–iii.□

Lemma 2.3

For p 2 and λ R , the function g λ is defined on ( 0 , π p 2 ) by

g λ ( x ) = cos p λ + 1 p x sin p p 1 x x λ 1 .

Then, the following statements are true:

  1. If λ p 2 , the function g λ ( x ) is increasing from ( 0 , π p 2 ) to ( 0 , ) .

  2. If λ p , the function g λ ( x ) is decreasing from ( 0 , π p 2 ) to ( 0 , ) .

Proof

We now prove the result for g λ by investigating three cases.

Case i. λ 1 .

The function g λ ( x ) can be written as

g λ ( x ) = x cos p x 1 λ sin p p 1 x cos p p 2 x ,

which is a product of two positive and increasing functions. Hence, the monotonicity property of g λ is obtained.

Case ii. 1 < λ p 2 .

By logarithmic differentiation in x , we obtain

(14) x tan p x g λ ( x ) g λ ( x ) = ( p λ 1 ) x tan p p x + ( p 1 ) x ( λ 1 ) tan p x = φ 2 ( x ) ,

where φ 2 ( x ) = ( p λ 1 ) x tan p p x + ( p 1 ) x ( λ 1 ) tan p x , then

φ 2 ( x ) = ( p 2 λ ) tan p p x + p ( p λ 1 ) x tan p p 1 x ( 1 + tan p p x ) + ( p λ ) ,

then φ ( x ) > 0 for 1 < λ p 2 . Hence, φ 2 is increasing with φ 2 ( x ) > φ 2 ( 0 ) = 0 . So we obtain that g λ ( x ) > 0 by (14) for x ( 0 , π p 2 ) and λ ( 1 , p 2 ] . Hence, the monotonicity property of g λ follows.

Hence, g λ is increasing for λ p 2 from Cases i and ii. Clearly, g λ ( 0 + ) = 0 and g λ ( π p 2 ) = .

Case iii. λ p .

By (14), we obtain

(15) 1 tan p p 1 x g λ ( x ) g λ ( x ) = ( p λ 1 ) + p 1 tan p p x + 1 λ x tan p p 1 x = ( p λ 1 ) + p λ tan p p x + ( 1 λ ) tan p x x x tan p p x = ( p λ 1 ) + p λ tan p p x + ( 1 λ ) f 3 ( x ) ,

where f 3 is in Lemma 2.1 (3), and g λ is negative for λ p by Lemma 2.1 (3) and (15). Hence, the monotonicity property of g λ is obtained.

Clearly, g λ ( 0 + ) = and g λ ( π p 2 ) = 0 .

Consequently, the result for g λ follows from the investigations in Cases i–iii.□

Lemma 2.4

For p > 1 and λ R , the function h λ is defined on ( 0 , π p 2 ) by

h λ ( x ) = tan p λ 1 x x λ 1 cos p p x .

Then, the following statements are true:

  1. If λ 1 p , then the function h λ ( x ) is increasing from ( 0 , π p 2 ) to ( 1 , ) .

  2. If λ p , then the function h λ ( x ) is decreasing from ( 0 , π p 2 ) to ( 0 , 1 ) .

  3. If p < λ < 1 p , then there exists a unique x 1 ( 0 , π p 2 ) such that h λ ( x ) is increasing on ( 0 , x 1 ] and decreasing on [ x 1 , π p 2 ) .

Proof

We now prove the result for h λ by investigating three cases.

Case i. λ 1 .

The function h λ ( x ) can be written as

h λ ( x ) = tan p x x λ 1 1 cos p p x ,

which is a product of two positive and increasing functions. Hence, the monotonicity property of h λ is obtained. Clearly, h λ ( 0 ) = 1 , h λ ( π p 2 ) = .

Case ii. 1 p λ < 1 or λ p .

By logarithmic differentiation in x , we obtain

(16) 1 tan p p 1 x h λ ( x ) h λ ( x ) = ( λ + p 1 ) + ( 1 λ ) tan p x x x tan p p x = ( λ + p 1 ) + ( 1 λ ) f 3 ( x ) ,

where f 3 is in Lemma 2.1 (3). Let φ 3 ( x ) = ( λ + p 1 ) + ( 1 λ ) f 3 ( x ) , then φ 3 is decreasing from ( 0 , π p 2 ) to ( λ + p 1 , p ( λ + p ) ( 1 + p ) ) for λ < 1 by Lemma 2.1 (3). Hence, h λ is nonnegative for 1 p λ < 1 and h λ is nonpositive for λ p by Lemma 2.1 (3) and (16). Hence, h λ is increasing for 1 p λ < 1 and decreasing for λ p .

Clearly, h λ ( 0 ) = 1 , h λ ( π p 2 ) = for λ 1 p , and h λ ( 0 ) = 1 , h λ ( π p 2 ) = 0 for λ p .

Case iii. p < λ < 1 p .

In this case, φ 3 has a unique zero x 1 ( 0 , π p 2 ) , which is the solution to the equation φ 3 ( x ) = 0 such that h λ ( x ) is increasing on ( 0 , x 1 ] and decreasing on [ x 1 , π p 2 ) by (16). Hence, we obtain the piecewise monotonicity property of h λ .

Consequently, the result for h λ follows from the investigations in Cases i–iii.□

Lemma 2.5

For ω ( 0 , 1 ) , p ( 1 , ) , x , y ( 0 , π p 2 ) ,

(17) sin p ( x ω y 1 ω ) sin p ω x sin p 1 ω y ,

(18) cos p ( x ω y 1 ω ) cos p ω x cos p 1 ω y ,

(19) tan p ( x ω y 1 ω ) tan p ω x tan p 1 ω y ,

with equalities holding if and only if x = y .

Proof

We may assume that x y , define

g 1 ( x , y ) = sin p ( x ω y 1 ω ) sin p ω x sin p 1 ω y , g 2 ( x , y ) = cos p ( x ω y 1 ω ) cos p ω x cos p 1 ω y ,  and   g 3 ( x , y ) = tan p ( x ω y 1 ω ) tan p ω x tan p 1 ω y ,

respectively. Let t 1 = x ω y 1 ω , then t 1 x = ω ( y x ) 1 ω , t 1 y = ( 1 ω ) ( x y ) ω . If y > x , then t 1 > x . By logarithmic differentiation in x , we have

(20) 1 g 1 ( x , y ) g 1 x = cos p ( t 1 ) sin p ( t 1 ) ω y x 1 ω ω cos p x sin p x = ω tan p ( t 1 ) t 1 x ω tan p x = ω x t 1 tan p ( t 1 ) x tan p x ,

and similarly,

(21) 1 g 2 ( x , y ) g 2 x = ω x [ x tan p p 1 x t 1 tan p p 1 ( t 1 ) ] ,

(22) 1 g 3 ( x , y ) g 3 x = ω x t 1 sin p ( t 1 ) cos p p 1 ( t 1 ) x sin p x cos p p 1 x .

Hence, it follows from Lemma 2.1 (2) that g 1 x < 0 . By Lemma 2.1 (1), we obtain g 3 x > 0 . On the other hand, it is obvious that g 2 x < 0 .

Consequently,

g 1 ( x , y ) g 1 ( y , y ) = 1 , g 2 ( x , y ) g 2 ( y , y ) = 1 , and g 3 ( x , y ) g 3 ( y , y ) = 1 .

Thus, we obtain inequalities (17), (18), and (19) for x , y ( 0 , π p 2 ) with x y . Equalities are valid if and only if x = y .□

3 Proofs of the main results

In this section, we prove the main results.

Proof of Theorem 1.1

If λ = 0 , inequality (7) has been proved by inequality (17) in Lemma 2.5. So we only need to prove inequality (7) for λ p and λ 0 . We may assume that x y . Define

F ( x , y ) = sin p λ ( M λ ( ω , x , y ) ) ω sin p λ x ( 1 ω ) sin p λ y .

Let t 2 = M λ ( ω , x , y ) , then t 2 x = ω ( x t 2 ) λ 1 and t 2 y = ( 1 ω ) ( y t 2 ) λ 1 . If y > x , then t 2 > x . By differentiation in x , we have

(23) F x = λ sin p λ 1 ( t 2 ) cos p ( t 2 ) ω x t 2 λ 1 ω λ sin p λ 1 x cos p x = ω λ x λ 1 sin p λ 1 ( t 2 ) cos p ( t 2 ) t 2 λ 1 sin p λ 1 ( x ) cos p ( x ) x λ 1 = ω λ x λ 1 [ f λ ( t 2 ) f λ ( x ) ] ,

where f λ is in Lemma 2.2.

Next we divide the proof into the following two cases:

Case i. p λ < 0 .

By Lemma 2.2 and (23), we know that F x > 0 . Hence, F ( x , y ) < F ( y , y ) = 0 . Thus, we obtain

(24) sin p λ ( M λ ( ω , x , y ) ) < ω sin p λ x + ( 1 ω ) sin p λ y

for x , y ( 0 , π p 2 ) with x y . From (24), we can easily obtain that inequality (7) holds for all x , y ( 0 , π p 2 ) and p λ < 0 , and equality is valid if and only if x = y .

Case ii. λ > 0 .

By Lemma 2.2 and (23), we know that F x < 0 . Hence, F ( x , y ) > F ( y , y ) = 0 . Thus, we obtain

(25) sin p λ ( M λ ( ω , x , y ) ) > ω sin p λ x + ( 1 ω ) sin p λ y

for x , y ( 0 , π p 2 ) with x y . From (25), we can easily obtain that inequality (7) holds for all x , y ( 0 , π p 2 ) and λ > 0 , and equality (7) is valid if and only if x = y . The proof of Theorem 1.1 is complete.□

Proof of Theorem 1.2

If λ = 0 , inequality (8) has been proved by the inequality (18) in Lemma 2.5. So we only need to prove inequality (8) for λ p 2 and λ p . We may assume that x y . Define

G ( x , y ) = cos p λ ( M λ ( ω , x , y ) ) ω cos p λ x ( 1 ω ) cos p λ y .

By differentiation in x , we have

(26) G x = ω λ cos p λ p + 1 ( t 2 ) sin p p 1 ( t 2 ) x t 2 λ 1 + ω λ cos p λ p + 1 x sin p p 1 x = ω λ x λ 1 cos p λ + 1 p x sin p p 1 x x λ 1 cos p λ + 1 p ( t 2 ) sin p p 1 ( t 2 ) t 2 λ 1 = ω λ x λ 1 [ g λ ( x ) g λ ( t 2 ) ] ,

where g λ is in Lemma 2.3.

Next we divide the proof into the following two cases:

Case i. 0 < λ p 2 .

By Lemma 2.3 and (26), we know that G x < 0 . Hence, G ( x , y ) > G ( y , y ) = 0 . Thus, we obtain

(27) cos p λ ( M λ ( ω , x , y ) ) > ω cos p λ x + ( 1 ω ) cos p λ y

for x , y ( 0 , π p 2 ) with x y . From (27), we can easily obtain that inequality (8) holds for all x , y ( 0 , π p 2 ) and 0 < λ p 2 , and equality is valid if and only if x = y .

Case ii. λ < 0 or λ p .

By Lemma 2.3 and (26), we know that G x > 0 . Hence, G ( x , y ) < G ( y , y ) = 0 . Thus, we obtain

(28) cos p λ ( M λ ( ω , x , y ) ) < ω cos p λ x + ( 1 ω ) cos p λ y

for x , y ( 0 , π p 2 ) with x y . From (28), we can easily obtain that inequality (8) is reversed for λ p and it holds for λ < 0 , and equality (8) is valid if and only if x = y . The proof of Theorem 1.2 is complete.□

Proof of Theorem 1.3

If λ = 0 , inequality (9) has been proved by inequality (19) in Lemma 2.5. So we only need to prove the inequality (9) for 1 p λ < 0 , λ > 0 and λ p . We may assume that x y . Define

H ( x , y ) = tan p λ ( M λ ( ω , x , y ) ) ω tan p λ x ( 1 ω ) tan p λ y .

By differentiation in x , we have

(29) H x = ω λ tan p λ 1 ( t 2 ) ( 1 + tan p p ( t 2 ) ) x t 2 λ 1 ω λ tan p λ 1 x ( 1 + tan p p x ) = ω λ x λ 1 tan p λ 1 ( t 2 ) t 2 λ 1 cos p p ( t 2 ) tan p λ 1 x x λ 1 cos p p x = ω λ x λ 1 [ h λ ( t 2 ) h λ ( x ) ] ,

where h λ is in Lemma 2.4.

Next we divide the proof into the following two cases:

Case i. 1 p λ < 0 .

By Lemma 2.4 (1) and (29), we know that H x < 0 . Hence, H ( x , y ) > H ( y , y ) = 0 . Thus, we obtain

(30) tan p λ ( M λ ( ω , x , y ) ) > ω tan p λ x + ( 1 ω ) tan p λ y

for x , y ( 0 , π p 2 ) with x y . From (30), we can easily obtain that the inequality (9) holds for all x , y ( 0 , π p 2 ) and 1 p λ < 0 , and equality (9) is valid if and only if x = y .

Case ii. λ p or λ > 0 .

By Lemma 2.4 and (29), we know that H x > 0 . Hence, H ( x , y ) < H ( y , y ) = 0 . Thus, we obtain

(31) tan p λ ( M λ ( ω , x , y ) ) < ω tan p λ x + ( 1 ω ) tan p λ y

for x , y ( 0 , π p 2 ) with x y . From (31), we can easily obtain that inequality (9) is reversed for λ p and equality (9) holds for λ > 0 , and equality (9) is valid if and only if x = y . The proof of Theorem 1.3 is complete.□

Acknowledgements

The authors are grateful for the reviewer’s valuable comments that improved the manuscript.

  1. Funding information: This research is supported by Shaoxing Basic Public Welfare Plan Project (2024A11021), the Second Batch of Undergraduate Teaching Reform Filing Project in Zhejiang Province for the “14th Five-Year Plan” (JGBA2024139), the 14th Five-Year Teaching Reform Project for Ordinary Undergraduate Universities in Zhejiang Province (jg20220747).

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Ethical approval: The conducted research is not related to either human or animals use.

  5. Data availability statement: Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

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Received: 2024-02-20
Revised: 2024-11-24
Accepted: 2024-12-12
Published Online: 2025-06-18

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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