Home Mathematics Construction of a class of half-discrete Hilbert-type inequalities in the whole plane
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Construction of a class of half-discrete Hilbert-type inequalities in the whole plane

  • Minghui You EMAIL logo
Published/Copyright: August 27, 2024

Abstract

In this work, we first define two special sets of real numbers, and then, we construct a half-discrete kernel function where the variables are defined in the whole plane, and the parameters in the kernel function are limited to the newly constructed special sets. Estimate the kernel function in the whole plane by converting it to the first quadrant, and then, a class of new Hilbert-type inequality is established. Additionally, it is proved that the constant factor of the newly established inequality is the best possible. Furthermore, assigning special values to the parameters and using rational fraction expansion of cosecant function, some special results are presented at the end of this article.

MSC 2010: 26D15; 41A17

1 Introduction

In this work, it is assumed that p > 1 , 1 p + 1 q = 1 , Z 0 Z \ { 0 } ,

S 1 x : x = 2 j 2 m + 1 , j , m Z , S 2 x : x = 2 j + 1 2 m + 1 , j , m Z .

Let Π be a measurable set and f ( x ) , μ ( x ) be two non-negative measurable functions defined on Π . Define a function space L p , μ ( Π ) as follows:

L p , μ ( Π ) f : f p , μ Π f p ( x ) μ ( x ) d x 1 p < .

Particularly, we have the abbreviations: f p f p , μ and L p ( Π ) L p , μ ( Π ) if μ ( x ) 1 .

Let a n , ν n > 0 , n Θ Z , a = { a n } n Θ . Define a sequence space l p , ν as follows:

l p , ν a : a p , ν n Θ a n p ν n 1 p < .

Particularly, we have the abbreviations: a p a p , ν and l p l p , ν if ν n 1 .

Let a = { a n } n = 1 l 2 and b = { b n } n = 1 l 2 be two real number sequences. Then [1],

(1.1) n N + m N + a m b n m + n < π a 2 b 2 ,

where the constant factor π is the best possible.

Inequality (1.1) was first proposed by German mathematician Hilbert in his lecture on integral equations, and it is normally referred to as Hilbert inequality. Inequalities that are structurally similar to Hilbert inequality are generally referred to as Hilbert-type inequality, such as the following two [1]:

(1.2) n N + m N + a m b n max { m , n } < 4 a 2 b 2 ,

(1.3) n N + m N + log m n m n a m b n < π 2 a 2 b 2 ,

where the constant factors 4 and π 2 are the best possible.

In 1925, by introducing a pair of conjugate parameters ( p , q ) , Hardy [2] proved an extended form of (1.1), i.e.,

(1.4) n N + m N + a m b n m + n < π sin π p a p b q ,

where the constant factor π sin π p is also the best possible. With regard to the extensions of (1.2) and (1.3), we refer to [1].

In 1991, Hsu and Guo [3] put forward the weight coefficient method, and proved the following strengthened form of (1.1):

(1.5) n N + m N + a m b n m + n < a 2 , μ b 2 , ν ,

where μ m = π γ 0 m and ν n = π γ 0 n ( γ 0 = 1.121 3 + ) .

After 1998, researchers optimized the weight coefficient method and established various extended forms of (1.4), such as [4]

(1.6) n N + m N + a m b n ( m + n ) β < B ( β 1 , β 2 ) a p , μ b q , ν ,

where 0 < β 1 , β 2 2 , β 1 + β 2 = β , μ m = m p ( 1 β 1 ) 1 , ν n = n q ( 1 β 2 ) 1 , and B ( u , v ) is the beta function [5]. For some other extensions of (1.4), we refer to [612], and for extensions, analogues, strengthened forms, and reverses of some classical Hilbert-type inequalities like (1.2) and (1.3), we refer to [7,10,1317].

In addition to the inequalities in discrete form mentioned earlier, Hilbert-type inequalities also appear in integral and half-discrete forms, such as the following two inequalities, which are the integral and half-discrete forms corresponding to inequality (1.4), i.e.,

(1.7) x R + y R + f ( x ) g ( y ) x + y d x d y < π sin π p f p g q ,

(1.8) x R + f ( x ) n N + a n x + n d x < π sin π p f p a q ,

where f L p ( R + ) , g L q ( R + ) , a l q , and the constant factor π sin π p in both (1.7) and (1.8) is the best possible.

Generally, for a discrete Hilbert-type inequality, there is necessarily a corresponding integral and half-discrete inequality with the same constant factor. On the contrary, for an integral Hilbert-type inequality, we may not be able to establish its corresponding discrete form, such as the following one in which the kernel is non-homogeneous [8]:

(1.9) x R + y R + f ( x ) g ( y ) 1 + x y d x d y < π f 2 g 2 ,

where the constant factor π is the best possible. The establishment of discrete form of (1.9) is difficult because it cannot explain the optimality of the constant factor π (see [8], p. 328). However, we can establish a half-discrete form of (1.9) and prove that the constant factor is the best possible [18].

It should be pointed out that, by the introduction of new kernel functions with the homogeneous and the non-homogeneous forms, a great many Hilbert-type inequalities were proved in the past 30 years [1924]. In the process, a large number of half-discrete Hilbert-type inequalities were also established constantly [2528]. Such a large number of inequalities have already grown into a vast system and are crucial to the development of modern analysis.

Generally, discrete and half-discrete Hilbert-type inequalities are established in the first quadrant. It is not an easy task to extend a discrete or a half-discrete Hilbert-type inequality to the whole plane, which is because the non-negativity, monotonicity, and integrability of a kernel function will be very complicated if we extend the range of variables to R 2 . Therefore, we can only find few sporadic results appearing in the literature [29]. In this work, the main objective is to provide a new half-discrete Hilbert-type inequality defined in the whole plane involving some classical kernel functions. When dealing with the weight function, we transform it to a monotonic function in the first quadrant to establish its upper bound. Furthermore, using the rational fraction expansion of cosecant function, some special Hilbert-type inequalities are presented at the end of the article.

2 Some lemmas

Lemma 2.1

Let α ( 0 , 1 ) and γ R + { 0 } . Suppose that α , β , λ , and τ satisfy one of the following conditions:

  1. τ = 1 , β S 1 \ R , λ S 1 R + , and 0 β < 1 α ;

  2. τ = ± 1 , β , λ S 2 R + , and 0 < β < 1 α λ .

Let

(2.1) k ( u ) ( τ u β + 1 ) ln u ( τ u λ 1 ) max { 1 , u γ } ,

where u R \ { 0 , 1 , 1 } . Let

(2.2) Ψ ( u ) [ k ( u ) + k ( u ) ] u α 1 ,

where u R + \ { 1 } . Then, Ψ ( u ) decreases with u.

Proof

First, consider the case where τ = 1 , β S 1 \ R , and λ S 1 R + . Then, it can be easy to show that k ( u ) is an even function, and therefore, we have

Ψ ( u ) = 2 u α + β 1 + 2 u α 1 ( u λ 1 ) max { 1 , u γ } ln u ( u R + ) .

Let

h ( u ) u α + β 1 + u α 1 u λ 1 ln u = [ u α + β 1 h 1 ( u ) + u α 1 h 1 ( u ) ] h 2 ( u ) ,

where h 1 ( u ) = u θ 1 u λ 1 , h 2 ( u ) = ln u u θ 1 , u R + \ { 1 } , and θ is an arbitrary positive number satisfying 0 < θ < λ . Finding the derivative of h 1 ( u ) , we have

d h 1 d u = u θ 1 ( u λ 1 ) 2 [ θ + ( λ θ ) u λ λ u λ θ ] .

Let h * ( u ) = θ + ( λ θ ) u λ λ u λ θ . Then, we have

d h * d u = λ ( λ θ ) u λ θ 1 ( u θ 1 ) .

It follows from 0 < θ < λ that d h * d u < 0 ( u ( 0 , 1 ) ) , and d h * d u > 0 ( u ( 1 , ) ) . Therefore, we have h * ( u ) h * ( 1 ) = 0 , which leads to that d h 1 d u < 0 ( u 1 ) . Set h 1 ( 1 ) θ λ , then h 1 ( u ) is continuous on R + , and decreases with u ( u R + ) . Additionally, it can be proved that [8]  d h 2 d u < 0 ( u R + ) , and then, h 2 ( u ) decreases with u ( u R + ) . Following the aforementioned discussion and observing that α 1 < 0 and α + β 1 < 0 , we obtain that h ( u ) decreases with u ( u R + \ { 1 } ) , and then, Ψ ( u ) decreases with u obviously.

Second, consider the case where τ = ± 1 , and β , λ S 2 R + . Let

H ( u ) τ u β + 1 τ u λ 1 ( ln u ) u α 1 ,

where u R \ { 0 , 1 , 1 } . Let

g ( u ) H ( u ) + H ( u ) ,

where u R + \ { 0 , 1 } . Then, it follows from β , λ S 2 that

g ( u ) = τ u β + 1 τ u λ 1 + τ u β 1 τ u λ + 1 ( ln u ) u α 1 = 2 u α + β + λ 1 + 2 u α 1 u 2 λ 1 ln u .

Similar to the discussion of monotonicity of h ( u ) , it can be proved that g ( u ) decreases with u ( u R + ) . Therefore,

Ψ ( u ) = [ k ( u ) + k ( u ) ] u α 1 = H ( u ) + H ( u ) max { 1 , u γ } = g ( u ) max { 1 , u γ }

decreases with u . Lemma 2.1 is proved.□

Lemma 2.2

Let α ( 0 , 1 ) and γ R + { 0 } . Suppose that α , β , λ , and τ satisfy one of the following conditions:

  1. τ = 1 , β S 1 \ R , λ S 1 R + , and 0 β < λ + γ α ;

  2. τ = ± 1 , β , λ S 2 R + , and 0 < β < λ + γ α .

Let k ( u ) be defined by (2.1), and

(2.3) W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α ) 2 + 1 ( λ j + λ + γ α ) 2 + 2 j = 0 1 ( λ j + α + β ) 2 + 1 ( λ j + λ + γ α β ) 2 , β , λ S 1 , 2 j = 0 1 ( 2 λ j + α ) 2 + 1 ( 2 λ j + 2 λ + γ α ) 2 + 2 j = 0 1 ( 2 λ j + α + β + λ ) 2 + 1 ( 2 λ j + λ + γ α β ) 2 , β , λ S 2 .

Then,

(2.4) u R + [ k ( u ) + k ( u ) ] u α 1 d u = W ( α , β , γ , λ ) .

Proof

We first prove (2.4) in the case where τ = 1 , β S 1 \ R , and λ S 1 R + . Observing that k ( u ) is an even function, we obtain

(2.5) u R + [ k ( u ) + k ( u ) ] u α 1 d u = 2 0 1 u α 1 + u α + β 1 u λ 1 ln u d u + 2 1 u α γ 1 + u α + β γ 1 u λ 1 ln u d u = 2 0 1 u α 1 + u α + β 1 u λ 1 ln u d u + 2 0 1 u λ + γ α 1 + u λ + γ α β 1 u λ 1 ln u d u = 2 0 1 u α 1 ln u + u λ + γ α 1 ln u + u λ + γ α β 1 ln u + u α + β 1 ln u u λ 1 d u 2 ( J 1 + J 2 + J 3 + J 4 ) ,

where

J 1 = 0 1 u α 1 ln u u λ 1 d u , J 2 = 0 1 u λ + γ α 1 ln u u λ 1 d u , J 3 = 0 1 u λ + γ α β 1 ln u u λ 1 d u , and J 4 = 0 1 u α + β 1 ln u u λ 1 d u .

Expand 1 u λ 1 ( u ( 0 , 1 ) ) into the Maclaurin series, and use the Lebesgue term-by-term integration theorem; then, we have

(2.6) J 1 = 0 1 j = 0 u λ j + α 1 ln u d u = j = 0 0 1 u λ j + α 1 ln u d u .

Setting ln u = z λ j + α , we have

(2.7) 0 1 u λ j + α 1 ln u d u = 1 ( λ j + α ) 2 0 z e z d z = 1 ( λ j + α ) 2 .

Inserting (2.7) back into (2.6), we obtain

(2.8) J 1 = j = 0 1 ( λ j + α ) 2 .

Similarly, it can be proved that

(2.9) J 2 = j = 0 1 ( λ j + λ + γ α ) 2 .

(2.10) J 3 = j = 0 1 ( λ j + λ + γ α β ) 2 .

(2.11) J 4 = j = 0 1 ( λ j + α + β ) 2 .

Inserting (2.8), (2.9), (2.10), and (2.11) back into (2.5), we arrive at (2.4) under the condition where τ = 1 , β S 1 \ R , and λ S 1 R + .

Second, consider the case where τ = ± 1 and β , λ S 2 R + . Then,

(2.12) u R + [ k ( u ) + k ( u ) ] u α 1 d u = [ 1 , 1 ] τ u β + 1 τ u λ 1 ( ln u ) u α 1 d u + R \ [ , 1 ] τ u β + 1 τ u λ 1 ( ln u ) u α γ 1 d u = 0 1 τ u β + 1 τ u λ 1 + τ u β 1 τ u λ + 1 ( ln u ) u α 1 d u + 1 τ u β + 1 τ u λ 1 + τ u β 1 τ u λ + 1 ( ln u ) u α γ 1 d u = 2 0 1 u α + β + λ 1 + u α 1 u 2 λ 1 ln u d u + 2 1 u α + β + λ γ 1 + u α γ 1 u 2 λ 1 ln u d u = 2 0 1 u α 1 ln u + u 2 λ + γ α 1 ln u + u λ + γ α β 1 ln u + u α + β + λ 1 ln u u 2 λ 1 d u 2 ( L 1 + L 2 + L 3 + L 4 ) ,

where

L 1 = 0 1 u α 1 ln u u 2 λ 1 d u , L 2 = 0 1 u 2 λ + γ α 1 ln u u 2 λ 1 d u , L 3 = 0 1 u λ + γ α β 1 ln u u 2 λ 1 d u , and L 4 = 0 1 u α + β + λ 1 ln u u 2 λ 1 d u .

Expand 1 u 2 λ 1 ( u ( 0 , 1 ) ) into the Maclaurin series, and use the Lebesgue term-by-term integration theorem, and then, we have

(2.13) L 1 = j = 0 1 ( 2 λ j + α ) 2 .

(2.14) L 2 = j = 0 1 ( 2 λ j + 2 λ + γ α ) 2 .

(2.15) L 3 = j = 0 1 ( 2 λ j + λ + γ α β ) 2 .

(2.16) L 4 = j = 0 1 ( 2 λ j + α + β + λ ) 2 .

Inserting (2.13), (2.14), (2.15), and (2.16) back into (2.12), we arrive at (2.4) under the condition where τ = ± 1 and β , λ S 2 R + . Lemma 2.2 is proved.□

Lemma 2.3

Let α ( 0 , 1 ) and γ R + { 0 } . Let δ S 2 and ρ S 2 ( 0 , 1 ] . Suppose that α , β , λ , and τ satisfy one of the following conditions:

  1. τ = 1 , β S 1 \ R , λ S 1 R + and 0 β < min { 1 α , λ + γ α } ;

  2. τ = ± 1 , β , λ S 2 R + and 0 < β < min { 1 α λ , λ + γ α } .

Let k ( u ) be defined by (2.1), and

a ˆ { a ˆ n } n Z 0 n α ρ 1 2 ρ q s n Z 0 , f ˆ ( x ) x α δ 1 + 2 δ p s , x Ω , 0 , x R \ Ω ,

where s is a natural number that is large enough, and Ω t : t δ δ < 1 . Then,

(2.17) I ˆ n Z 0 a ˆ n x R k ( x δ n ρ ) f ˆ ( x ) d x = x R f ˆ ( x ) n Z 0 k ( x δ n ρ ) a ˆ n d x > s δ ρ 0 1 [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u + 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u .

Proof

Let Ω + Ω R + , and Ω Ω R . Since δ , ρ S 2 , we have

I ˆ = x Ω f ˆ ( x ) n Z + k ( x δ n ρ ) a ˆ n d x + x Ω f ˆ ( x ) n Z k ( x δ n ρ ) a ˆ n d x + x Ω + f ˆ ( x ) n Z + k ( x δ n ρ ) a ˆ n d x + x Ω + f ˆ ( x ) n Z k ( x δ n ρ ) a ˆ n d x = 2 x Ω + x α δ 1 + 2 δ p s n Z + k ( x δ n ρ ) n α ρ 1 2 ρ q s d x + 2 x Ω + x α δ 1 + 2 δ p s n Z + k ( x δ n ρ ) n α ρ 1 2 ρ q s d x = 2 x Ω + x α δ 1 + 2 δ p s n Z + [ k ( x δ n ρ ) + k ( x δ n ρ ) ] n α ρ 1 2 ρ q s d x .

Since x Ω + , n Z + , δ S 2 , and ρ S 2 ( 0 , 1 ] , it follows from Lemma 2.1 that

[ k ( x δ n ρ ) + k ( x δ n ρ ) ] n α ρ 1 2 ρ q s = [ k ( x δ n ρ ) + k ( x δ n ρ ) ] ( x δ n ρ ) α 1 n ρ 1 2 ρ q s x δ δ α

decreases with n ( n Z + ) for a fixed x ( x Ω ) . Therefore,

(2.18) I ˆ > 2 x Ω + x α δ 1 + 2 δ p s 1 [ k ( x δ y ρ ) + k ( x δ y ρ ) ] y α ρ 1 2 ρ q s d y d x .

Consider the case where δ S 2 R , and then, Ω + = Ω R + = ( 1 , ) . Let x δ y ρ = u in (2.18), and then, we have

(2.19) I ˆ > 2 ρ 1 x 1 + 2 δ s x δ [ k ( u ) + k ( u ) ] u α 1 2 q s d u d x = 2 ρ 1 x 1 + 2 δ s 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u d x + 2 ρ 1 x 1 + 2 δ s x δ 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u d x = s δ ρ 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u + 2 ρ 0 1 [ k ( u ) + k ( u ) ] u α 1 2 q s u 1 δ x 1 + 2 δ s d x d u = s δ ρ 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u + s δ ρ 0 1 [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u .

It follows from (2.19) that (2.17) holds true. Lemma 2.3 is proved.□

Lemma 2.4

Let a , b > 0 , a + b = z , and Φ ( u ) = csc 2 u . Then,

(2.20) s = 0 1 ( z s + a ) 2 + 1 ( z s + b ) 2 = π 2 z 2 Φ a π z .

Proof

Expand cot u ( 0 < u < π ) into the following partial fraction [5]:

(2.21) cot u = 1 u + s = 1 1 u + s π + 1 u s π .

Finding the derivative of (2.21), we have

Φ ( u ) = 1 u 2 + s = 1 1 ( u + s π ) 2 + 1 ( u s π ) 2 .

Therefore,

Φ a π z = z 2 π 2 1 a 2 + s = 1 1 ( z s + a ) 2 + 1 ( z s a ) 2 = z 2 π 2 lim n s = 0 n 1 ( z s + a ) 2 + s = 1 n 1 ( z s a ) 2 = z 2 π 2 lim n s = 0 n 1 ( z s + a ) 2 + s = 0 n 1 1 ( z s + b ) 2 = z 2 π 2 lim n s = 0 n 1 ( z s + a ) 2 + 1 ( z s + b ) 2 = z 2 π 2 s = 0 1 ( z s + a ) 2 + 1 ( z s + b ) 2 .

Lemma 2.4 is proved.□

3 Main results

Theorem 3.1

Let α ( 0 , 1 ) and γ R + { 0 } . Suppose that α , β , λ , and τ satisfy one of the following conditions:

  1. τ = 1 , β S 1 \ R , λ S 1 R + , and 0 β < min { 1 α , λ + γ α } ;

  2. τ = ± 1 , β , λ S 2 R + and 0 < β < min { 1 α λ , λ + γ α } .

Suppose that μ ( x ) = x p ( 1 α δ ) 1 , ν n = n q ( 1 α ρ ) 1 , where δ S 2 and ρ S 2 ( 0 , 1 ] . Let f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) , and a = { a n } n Z 0 l q , ν . Let k ( u ) and W ( α , β , γ , λ ) be defined by (2.1) and (2.3), respectively. Then,

(3.1) x R f ( x ) n Z 0 k ( x δ n ρ ) a n d x = n Z 0 a n x R k ( x δ n ρ ) f ( x ) d x < δ 1 q ρ 1 p W ( α , β , γ , λ ) f p , μ a q , ν ,

where the constant factor δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.1) is the best possible.

Proof

Let k ˆ ( x δ y ρ ) k ( x δ n ρ ) , g ( y ) a n , and h ( y ) n if y [ n , n + 1 ) ( n Z ) . Let k ˆ ( x δ y ρ ) k ( x δ n ρ ) , g ( y ) a n , and h ( y ) n if y [ n 1 , n ) ( n Z + ). By Hölder’s inequality, we have

(3.2) x R f ( x ) n Z 0 k ( x δ n ρ ) a n d x = n Z 0 a n x R k ( x δ n ρ ) f ( x ) d x = y R x R k ˆ ( x δ y ρ ) f ( x ) g ( y ) d x d y = y R x R [ k ˆ ( x δ y ρ ) ] 1 p [ h ( y ) ] ( α ρ 1 ) p x ( 1 α δ ) q f ( x ) [ k ˆ ( x δ y ρ ) ] 1 q x ( α δ 1 ) q × [ h ( y ) ] ( 1 α ρ ) p g ( y ) d x d y x R y R k ˆ ( x δ y ρ ) [ h ( y ) ] α ρ 1 x p ( 1 α δ ) q f p ( x ) d y d x 1 p × y R x R k ˆ ( x δ y ρ ) x α δ 1 [ h ( y ) ] q ( 1 α ρ ) p g q ( y ) d x d y 1 q = x R ω 1 ( x ) x p ( 1 α δ ) q f p ( x ) d x 1 p n Z 0 ω 2 ( n ) n q ( 1 α ρ ) p a n q 1 q ,

where

ω 1 ( x ) = n Z 0 k ( x δ n ρ ) n α ρ 1 , ω 2 ( n ) = x R k ( x δ n ρ ) x α δ 1 d x .

If n > 0 , x > 0 , then it follows from δ S 2 and ρ S 2 ( 0 , 1 ) that x δ n ρ > 0 and x δ n ρ increases with n ( n Z + ) . Therefore, by Lemma 2.1, and observing that ρ S 2 ( 0 , 1 ) , we find

[ k ( x δ n ρ ) + k ( x δ n ρ ) ] n α ρ 1 = x δ α δ n ρ 1 [ k ( x δ n ρ ) + k ( x δ n ρ ) ] ( x δ n ρ ) α 1

decreases with n ( n Z + ) for a fixed x ( x > 0 ) .

If n > 0 , x < 0 , then x δ n ρ > 0 and x δ n ρ increases with n ( n Z + ) . Therefore, by Lemma 2.1, it can also be proved that

[ k ( x δ n ρ ) + k ( x δ n ρ ) ] n α ρ 1 = x δ α δ n ρ 1 [ k ( x δ n ρ ) + k ( x δ n ρ ) ] ( x δ n ρ ) α 1

decreases with n ( n Z + ) for a fixed x ( x < 0 ) .

Thus, we have

ω 1 ( x ) = n Z + [ k ( x δ n ρ ) + k ( x δ n ρ ) ] n α ρ 1 < y R + [ k ( x δ y ρ ) + k ( x δ y ρ ) ] y α ρ 1 d y .

Consider the case where x < 0 . Letting x δ y ρ = u , and observing that δ , ρ S 2 , we have ( u ) 1 ρ 1 = u 1 ρ 1 ( u > 0 ) , and therefore,

(3.3) ω 1 ( x ) < 1 ρ u R + [ k ( u ) + k ( u ) ] u 1 ρ x δ ρ α ρ 1 x δ ρ ( u ) 1 ρ 1 d u = x α δ ρ u R + [ k ( u ) + k ( u ) ] u α 1 d u .

Furthermore, if x > 0 , then it can also be proved that (3.3) holds. Therefore, applying (2.4) to (3.3), we have

(3.4) ω 1 ( x ) < x α δ ρ W ( α , β , γ , λ ) .

Similarly, we have

(3.5) ω 2 ( n ) < n α ρ δ W ( α , β , γ , λ ) .

Inserting (3.4) and (3.5) into (3.2), we arrive at (3.1).

In what follows, it will be proved that the constant factor δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.1) is the best possible. In fact, we assume that there exists a real number A satisfying

(3.6) 0 < A δ 1 q ρ 1 p W ( α , β , γ , λ )

and

(3.7) x R f ( x ) n Z 0 k ( x δ n ρ ) a n d x = n Z 0 a n x R k ( x δ n ρ ) f ( x ) d x < A f p , μ a q , ν .

Replace a n and f ( x ) with a ˆ n and f ˆ ( x ) defined in Lemma 2.3, respectively, and use (2.17), and then we have

s δ ρ 0 1 [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u + 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u < A f ˆ p , μ a ˆ q , ν = A Ω x 1 + 2 δ s d x 1 p n Z 0 n 1 2 ρ s 1 q < A 2 Ω + x 1 + 2 δ s d x 1 p 2 + 2 1 y 1 2 ρ s d y 1 q = A s δ 1 p 2 + s ρ 1 q .

It follows therefore that

(3.8) 0 1 [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u + 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u < δ ρ A 1 δ 1 p 2 s + 1 ρ 1 q .

Applying Fatou’s lemma to (3.8) and using (2.4), it follows that

W ( α , β , γ , λ ) = u R + [ k ( u ) + k ( u ) ] u α 1 d u = 0 1 lim ̲ s [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u + 1 lim ̲ s [ k ( u ) + k ( u ) ] u α 1 2 q s d u lim ̲ s 0 1 [ k ( u ) + k ( u ) ] u α 1 + 2 p s d u + 1 [ k ( u ) + k ( u ) ] u α 1 2 q s d u lim ̲ s δ ρ A 1 δ 1 p 2 s + 1 ρ 1 q = A δ 1 q ρ 1 p .

Thus, we have

(3.9) A δ 1 q ρ 1 p W ( α , β , γ , λ ) .

It follows from (3.6) and (3.9) that

A = δ 1 q ρ 1 p W ( α , β , γ , λ ) ,

which implies that the constant factor δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.1) is the best possible. Theorem 3.1 is proved.□

Remark 3.2

Theorem 3.1 implies the following Hardy-type inequalities:

(3.10) n Z 0 n p α ρ 1 x R k ( x δ n ρ ) f ( x ) d x p < δ 1 q ρ 1 p W ( α , β , γ , λ ) p f p , μ p ,

(3.11) x R x q α δ 1 n Z 0 k ( x δ n ρ ) a n q d x < δ 1 q ρ 1 p W ( α , β , γ , λ ) q a q , ν q ,

where the constant δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.11) and (3.12) is the best possible. In fact, letting z { z n } n Z 0 , where

z n n p α ρ 1 x R k ( x δ n ρ ) f ( x ) d x p 1 ,

and using (3.1), we have

(3.12) I n Z 0 n p α ρ 1 x R k ( x δ n ρ ) f ( x ) d x p = n Z 0 z n x R k ( x δ n ρ ) f ( x ) d x < δ 1 q ρ 1 p W ( α , β , γ , λ ) f p , μ z q , ν = δ 1 q ρ 1 p W ( α , β , γ , λ ) f p , μ I 1 q .

Inequality (3.12) implies (3.10) obviously. Furthermore, letting

F ( x ) x q α δ 1 n Z 0 k ( x δ n ρ ) a n q 1 ,

and using (3.1), it can be proved that (3.12) holds true. Since the constant factor δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.1) is the best possible, it follows that the constant δ 1 q ρ 1 p W ( α , β , γ , λ ) in (3.10) and (3.11) is the best possible.

4 Some corollaries

Suppose that γ = 0 , τ = 1 , β S 1 \ R , λ S 1 R + , and δ = ρ = 1 in Theorem 3.1, and use Lemma 2.4, then we obtain the following Hilbert-type inequality involving a non-homogeneous kernel.

Corollary 4.1

Let α ( 0 , 1 ) , β S 1 \ R , λ S 1 R + , and 0 β < min { 1 α , λ α } . Suppose that Φ ( u ) = csc 2 u , μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) and a = { a n } n Z 0 l q , ν . Then,

(4.1) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ( ln x n ) a n d x < 2 π 2 λ 2 Φ α π λ + Φ ( α + β ) π λ f p , μ a q , ν .

Let β = 0 in (4.1), then 0 < α < min { 1 , λ } ( λ S 1 R + ) , and (4.1) reduces to

(4.2) x R f ( x ) n Z 0 ln x n ( x n ) λ 1 a n d x < 2 π 2 λ 2 Φ α π λ f p , μ a q , ν ,

where μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Let λ = 2 β in (4.1). Since

Φ α π 2 β + Φ ( α + β ) π 2 β = 4 Φ α π β ,

it can also be obtained that (4.2) holds true.

Let λ = 4 β in (4.1). Then, 0 < α < min { 1 β , 3 β } ( β S 1 R + ) , and (4.1) reduces to

(4.3) x R f ( x ) n Z 0 ln x n [ ( x n ) β 1 ] [ ( x n ) 2 β + 1 ] a n d x < π 2 8 β 2 Φ α π 4 β + Φ ( α + β ) π 4 β f p , μ a q , ν ,

where μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Suppose that γ = λ , τ = 1 , β S 1 \ R , λ S 1 R + , and δ = ρ = 1 in Theorem 3.1. Then,

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α ) 2 + 1 ( λ j + 2 λ α ) 2 + 2 j = 0 1 ( λ j + α + β ) 2 + 1 ( λ j + 2 λ α β ) 2 .

If 0 < α < α + β < λ , then it follows from Lemma 2.4 that

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α ) 2 + 1 ( λ j + λ α ) 2 + 2 j = 0 1 ( λ j + α + β ) 2 + 1 ( λ j + λ α β ) 2 2 ( λ α ) 2 2 ( λ α β ) 2 = 2 π 2 λ 2 Φ α π λ + Φ ( α + β ) π λ m 0 ,

where

m 0 = 2 ( λ α ) 2 + 2 ( λ α β ) 2 .

If 0 < α < α + β = λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α ) 2 + 1 ( λ j + λ α ) 2 + 4 j = 0 1 ( λ j + λ ) 2 2 ( λ α ) 2 = 2 π 2 λ 2 Φ β π λ + 2 π 2 3 λ 2 2 β 2 .

If 0 < α < λ < α + β < 2 λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α ) 2 + 1 ( λ j + λ α ) 2 + 2 j = 0 1 ( λ j + α + β λ ) 2 + 1 ( λ j + 2 λ α β ) 2 2 ( λ α ) 2 2 ( λ α β ) 2 = 2 π 2 λ 2 Φ α π λ + Φ ( α + β ) π λ m 0 .

If 0 < α = λ < α + β < 2 λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α + β λ ) 2 + 1 ( λ j + 2 λ α β ) 2 + 4 j = 0 1 ( λ j + λ ) 2 2 ( λ α β ) 2 = 2 π 2 λ 2 Φ β π λ + 2 π 2 3 λ 2 2 β 2 .

If 0 < λ < α < α + β < 2 λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( λ j + α λ ) 2 + 1 ( λ j + 2 λ α ) 2 + 2 j = 0 1 ( λ j + α + β λ ) 2 + 1 ( λ j + 2 λ α β ) 2 2 ( λ α ) 2 2 ( λ α β ) 2 = 2 π 2 λ 2 Φ α π λ + Φ ( α + β ) π λ m 0 .

Let

W 0 ( α , β , γ , λ ) = 2 π 2 λ 2 Φ β π λ + 2 π 2 3 λ 2 2 β 2 , α = λ or α + β = λ , 2 π 2 λ 2 Φ α π λ + Φ ( α + β ) π λ m 0 , α λ and α + β λ .

Then, the following corollary holds true.

Corollary 4.2

Let α ( 0 , 1 ) , β , λ S 1 R + , and 0 < β < min { 1 α , 2 λ α } . Suppose that μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , and f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) and a = { a n } n Z 0 l q , ν . Then,

(4.4) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ln x n max { 1 , x n λ } a n d x < W 0 ( α , β , γ , λ ) f p , μ a q , ν .

Let λ = β in (4.4). Then, 0 < α < min { β , 1 β } ( β S 1 R + ) , and (4.4) reduces to

(4.5) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) β 1 ln x n max { 1 , x n β } a n d x < 4 π 2 β 2 Φ α π β m 0 f p , μ a q , ν ,

where m 0 = 2 α 2 + 2 ( β α ) 2 , μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Let λ = 2 β , and α = β in (4.4), then 0 < β < 1 2 ( β S 1 R + ) , and (4.4) reduces to

(4.6) x R f ( x ) n Z 0 ln x n [ ( x n ) β 1 ] max { 1 , x n 2 β } a n d x < 2 π 2 6 3 β 2 f p , μ a q , ν ,

where μ ( x ) = x p ( 1 β ) 1 , and ν n = n q ( 1 β ) 1 .

Let λ = 2 β , α β , and α 2 β in (4.4). Then, 0 < α < min { 1 β , 3 β } , and (4.4) reduces to

(4.7) x R f ( x ) n Z 0 ln x n [ ( x n ) β 1 ] max { 1 , x n 2 β } a n d x < 2 π 2 β 2 Φ α π β m 0 f p , μ a q , ν ,

where m 0 = 2 ( 2 β α ) 2 + 2 ( β α ) 2 , μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Setting α = β 2 in (4.7), then 0 < β < 2 3 ( β S 1 R + ) , and (4.7) is transformed into

(4.8) x R f ( x ) n Z 0 ln x n [ ( x n ) β 1 ] max { 1 , x n 2 β } a n d x < 18 π 2 80 9 β 2 f p , μ a q , ν ,

where μ ( x ) = x p 1 β 2 1 , and ν n = n q 1 β 2 1 .

Suppose that γ = 0 , τ = 1 , β , λ S 2 R + , and δ = ρ = 1 in Theorem 3.1, and use Lemma 2.4. Then, we obtain the following corollary.

Corollary 4.3

Let α ( 0 , 1 ) , β , λ S 2 R + and 0 < β < min { 1 α λ , λ α } . Suppose that Φ ( u ) = csc 2 u , μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) and a = { a n } n Z 0 l q , ν . Then,

(4.9) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ( ln x n ) a n d x < π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ f p , μ a q , ν .

Let λ = 3 β , and α = β in (4.9). Then, 0 < β < 1 5 ( β S 2 R + ) , and (4.9) reduces to

(4.10) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) β 1 ln x n ( x n ) 2 β + ( x n ) β + 1 a n d x < 2 π 2 9 β 2 f p , μ a q , ν ,

where μ ( x ) = x p ( 1 β ) 1 , and ν n = n q ( 1 β ) 1 .

Suppose that γ = 2 λ , τ = 1 , β , λ S 2 R + , and δ = ρ = 1 in Theorem 3.1. Then, 0 < β < min { 1 α λ , 3 λ α } .

W ( α , β , γ , λ ) = 2 j = 0 1 ( 2 λ j + α ) 2 + 1 ( 2 λ j + 4 λ α ) 2 + 2 j = 0 1 ( 2 λ j + α + β + λ ) 2 + 1 ( 2 λ j + 3 λ α β ) 2 .

If α + β < λ , then α < 2 λ , and it follows from Lemma 2.4 that

W ( α , β , γ , λ ) = 2 j = 0 1 ( 2 λ j + α ) 2 + 1 ( 2 λ j + 2 λ α ) 2 + 2 j = 0 1 ( 2 λ j + α + β + λ ) 2 + 1 ( 2 λ j + λ α β ) 2 2 ( 2 λ α ) 2 2 ( λ α β ) 2 = π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ p 0 ,

where

p 0 p 1 + p 2 2 ( 2 λ α ) 2 + 2 ( λ α β ) 2 .

If α + β = λ , then α < 2 λ , and

W ( α , β , γ , λ ) = 2 j = 0 1 ( 2 λ j + α ) 2 + 1 ( 2 λ j + 2 λ α ) 2 + 4 j = 0 1 ( 2 λ j + 2 λ ) 2 2 ( 2 λ α ) 2 = π 2 2 λ 2 Φ α π 2 λ + π 2 6 λ 2 p 1 .

If α + β > λ and α < 2 λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( 2 λ j + α ) 2 + 1 ( 2 λ j + 2 λ α ) 2 + 2 j = 0 1 ( 2 λ j + α + β λ ) 2 + 1 ( 2 λ j + 3 λ α β ) 2 2 ( 2 λ α ) 2 2 ( α + β λ ) 2 = π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β λ ) π 2 λ p 0 = π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ p 0 .

If α + β > λ and α = 2 λ , then

W ( α , β , γ , λ ) = 2 j = 0 1 ( 2 λ j + α + β λ ) 2 + 1 ( 2 λ j + 3 λ α β ) 2 + 4 j = 0 1 ( 2 λ j + 2 λ ) 2 2 ( α + β λ ) 2 = π 2 2 λ 2 Φ ( α + β + λ ) π 2 λ + π 2 6 λ 2 p 2 .

If α + β > λ and α > 2 λ , then it can also be proved that

W ( α , β , γ , λ ) = π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ p 0 .

Let

W 1 ( α , β , γ , λ ) = π 2 2 λ 2 Φ α π 2 λ + π 2 6 λ 2 p 1 , α + β = λ , π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ p 0 , α + β λ and α 2 λ , π 2 2 λ 2 Φ ( α + β + λ ) π 2 λ + π 2 6 λ 2 p 2 , α = 2 λ .

Corollary 4.4

Let α ( 0 , 1 ) , β , λ S 2 R + , and 0 < β < min { 1 α λ , 3 λ α } . Suppose that μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) , and a = { a n } n Z 0 l q , ν . Then,

(4.11) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ln x n max { 1 , x n 2 λ } a n d x < W 1 ( α , β , γ , λ ) f p , μ a q , ν .

Let λ = β in (4.11). Then, 0 < α < min { 2 β , 1 2 β } ( β S 2 R + ) , and (4.11) reduces to

(4.12) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) β 1 ln x n max { 1 , x n 2 β } a n d x < π 2 β 2 Φ α π 2 β p 0 f p , μ a q , ν ,

where p 0 = 2 α 2 + 2 ( 2 β α ) 2 , μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Set α = β in (4.12). Then, 0 < β < 1 3 ( β S 2 R + ) , and (4.12) is transformed into

x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) β 1 ln x n max { 1 , x n 2 β } a n d x < π 2 4 β 2 f p , μ a q , ν ,

where μ ( x ) = x p ( 1 β ) 1 , and ν n = n q ( 1 β ) 1 .

Let α = λ in (4.11). Then, 0 < β < min { 2 λ , 1 2 λ } ( β , λ S 2 R + ) , and (4.11) reduces to

(4.13) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ln x n max { 1 , x n 2 λ } a n d x < π 2 2 λ 2 Φ β π 2 λ p 0 f p , μ a q , ν ,

where p 0 = 2 λ 2 + 2 β 2 π 2 2 λ 2 , μ ( x ) = x p ( 1 λ ) 1 , and ν n = n q ( 1 λ ) 1 .

Let α = 2 λ in (4.11). Then, 0 < β < min { λ , 1 3 λ } ( β , λ S 2 R + ) , and (4.11) reduces to

(4.14) x R f ( x ) n Z 0 ( x n ) β + 1 ( x n ) λ 1 ln x n max { 1 , x n 2 λ } a n d x < π 2 2 λ 2 Φ ( β + λ ) π 2 λ p 2 f p , μ a q , ν ,

where p 2 = 2 ( β + λ ) 2 π 2 6 λ 2 , μ ( x ) = x p ( 1 2 λ ) 1 , and ν n = n q ( 1 2 λ ) 1 .

Suppose that γ = 0 , τ = 1 , β , λ S 2 R + , and δ = ρ = 1 in Theorem 3.1, and use Lemma 2.4, and then the following corollary holds true.

Corollary 4.5

Let α ( 0 , 1 ) , β , λ S 2 R + , and 0 < β < min { 1 α λ , λ α } . Suppose that Φ ( u ) = csc 2 u , μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) , and a = { a n } n Z 0 l q , ν . Then,

(4.15) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) λ ( ln x n ) a n d x < π 2 2 λ 2 Φ α π 2 λ + Φ ( α + β + λ ) π 2 λ f p , μ a q , ν .

Let λ = 2 α in (4.15). Then, 0 < β < min { 1 3 λ 2 , λ 2 } ( β , λ S 2 R + ) , and (4.15) is transformed into

(4.16) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) λ ( ln x n ) a n d x < π 2 2 λ 2 Φ ( 2 β + 3 λ ) π 4 λ + π 2 λ 2 f p , μ a q , ν ,

where μ ( x ) = x p 1 λ 2 1 , and ν n = n q 1 λ 2 1 .

Let λ = 3 β , and α = β in (4.15). Then, 0 < β < 1 5 ( β S 2 R + ) , and (4.15) reduces to

(4.17) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) β ln x n ( x n ) 2 β ( x n ) β + 1 a n d x < 4 π 2 f p , μ a q , ν ,

where μ ( x ) = x p ( 1 β ) 1 , and ν n = n q ( 1 β ) 1 .

Suppose that γ = 2 λ , τ = 1 , β , λ S 2 R + , and δ = ρ = 1 in Theorem 3.1. Then, we have Corollary 4.6.

Corollary 4.6

Let α ( 0 , 1 ) , β , λ S 2 R + , and 0 < β < min { 1 α λ , 3 λ α } . Suppose that μ ( x ) = x p ( 1 α ) 1 , ν n = n q ( 1 α ) 1 , f ( x ) , a n > 0 with f ( x ) L p , μ ( R ) , and a = { a n } n Z 0 l q , ν . Then,

(4.18) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) λ ln x n max { 1 , x n 2 λ } a n d x < W 1 ( α , β , γ , λ ) f p , μ a q , ν .

Let λ = β in (4.18). Then, 0 < α < min { 2 β , 1 2 β } ( β S 2 R + ) , and (4.18) reduces to

(4.19) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) β ln x n max { 1 , x n 2 β } a n d x < π 2 β 2 Φ α π 2 β p 0 f p , μ a q , ν ,

where p 0 = 2 α 2 + 2 ( 2 β α ) 2 , μ ( x ) = x p ( 1 α ) 1 , and ν n = n q ( 1 α ) 1 .

Let α = λ in (4.18). Then, 0 < β < min { 2 λ , 1 2 λ } ( β , λ S 2 R + ) , and (4.18) reduces to

(4.20) x R f ( x ) n Z 0 1 ( x n ) β 1 + ( x n ) λ ln x n max { 1 , x n 2 λ } a n d x < π 2 2 λ 2 Φ β π 2 λ p 0 f p , μ a q , ν ,

where p 0 = 2 λ 2 + 2 β 2 π 2 2 λ 2 , μ ( x ) = x p ( 1 λ ) 1 , and ν n = n q ( 1 λ ) 1 .

In the discussions in this section, if we change δ = ρ = 1 to δ = 1 , ρ = 1 , then we can obtain various Hilbert-type inequalities with homogeneous kernels, which will not be repeated here.

5 Conclusions

This work deals with a new type of Hilbert-type inequality with a non-monotonic kernel function. Compared the newly obtained results in this work with those in the previous literature, the new half-discrete Hilbert-type inequality discussed in this work is defined in the whole plane, while most of the previous results were established in the first quadrant. The key to achieving this work lies in two aspects. First, we define two special sets of numbers that ensure the non-negativity of the kernel function. Second, through simple variable substitution, we transform the non-monotonic weight function in the whole plane into a monotonic function in the first quadrant, thereby establishing an upper bound estimate for the weight function. The work of this article provides a new approach to the study of Hilbert-type inequalities, especially for discrete and half-discrete Hilbert-type inequalities in the whole plane.

Acknowledgements

The author is indebted to the referees for their valuable suggestions and comments that helped improve the paper significantly.

  1. Funding information: This work was supported by the incubation foundation of Zhejiang Institute of Mechanical and Electrical Engineering (A-0271-23-213).

  2. Author contributions: The author confirms the sole responsibility for the conception of the study, presented results, and prepared the manuscript.

  3. Conflict of interest: The author states no conflict of interest.

  4. Data availability statement: Not applicable.

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Received: 2023-12-18
Revised: 2024-05-28
Accepted: 2024-07-24
Published Online: 2024-08-27

© 2024 the author(s), published by De Gruyter

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

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  14. Extension of Fejér's inequality to the class of sub-biharmonic functions
  15. On sup- and inf-attaining functionals
  16. Regularization method and a posteriori error estimates for the two membranes problem
  17. Rapid Communication
  18. Note on quasivarieties generated by finite pointed abelian groups
  19. Review Articles
  20. Amitsur's theorem, semicentral idempotents, and additively idempotent semirings
  21. A comprehensive review of the recent numerical methods for solving FPDEs
  22. On an Oberbeck-Boussinesq model relating to the motion of a viscous fluid subject to heating
  23. Pullback and uniform exponential attractors for non-autonomous Oregonator systems
  24. Regular Articles
  25. On certain functional equation related to derivations
  26. The product of a quartic and a sextic number cannot be octic
  27. Combined system of additive functional equations in Banach algebras
  28. Enhanced Young-type inequalities utilizing Kantorovich approach for semidefinite matrices
  29. Local and global solvability for the Boussinesq system in Besov spaces
  30. Construction of 4 x 4 symmetric stochastic matrices with given spectra
  31. A conjecture of Mallows and Sloane with the universal denominator of Hilbert series
  32. The uniqueness of expression for generalized quadratic matrices
  33. On the generalized exponential sums and their fourth power mean
  34. Infinitely many solutions for Schrödinger equations with Hardy potential and Berestycki-Lions conditions
  35. Computing the determinant of a signed graph
  36. Two results on the value distribution of meromorphic functions
  37. Zariski topology on the secondary-like spectrum of a module
  38. On deferred f-statistical convergence for double sequences
  39. About j-Noetherian rings
  40. Strong convergence for weighted sums of (α, β)-mixing random variables and application to simple linear EV regression model
  41. On the distribution of powered numbers
  42. Almost periodic dynamics for a delayed differential neoclassical growth model with discontinuous control strategy
  43. A new distributionally robust reward-risk model for portfolio optimization
  44. Asymptotic behavior of solutions of a viscoelastic Shear beam model with no rotary inertia: General and optimal decay results
  45. Silting modules over a class of Morita rings
  46. Non-oscillation of linear differential equations with coefficients containing powers of natural logarithm
  47. Mutually unbiased bases via complex projective trigonometry
  48. Hyers-Ulam stability of a nonlinear partial integro-differential equation of order three
  49. On second-order linear Stieltjes differential equations with non-constant coefficients
  50. Complex dynamics of a nonlinear discrete predator-prey system with Allee effect
  51. The fibering method approach for a Schrödinger-Poisson system with p-Laplacian in bounded domains
  52. On discrete inequalities for some classes of sequences
  53. Boundary value problems for integro-differential and singular higher-order differential equations
  54. Existence and properties of soliton solution for the quasilinear Schrödinger system
  55. Hermite-Hadamard-type inequalities for generalized trigonometrically and hyperbolic ρ-convex functions in two dimension
  56. Endpoint boundedness of toroidal pseudo-differential operators
  57. Matrix stretching
  58. A singular perturbation result for a class of periodic-parabolic BVPs
  59. On Laguerre-Sobolev matrix orthogonal polynomials
  60. Pullback attractors for fractional lattice systems with delays in weighted space
  61. Singularities of spherical surface in R4
  62. Variational approach to Kirchhoff-type second-order impulsive differential systems
  63. Convergence rate of the truncated Euler-Maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay
  64. On the energy decay of a coupled nonlinear suspension bridge problem with nonlinear feedback
  65. The limit theorems on extreme order statistics and partial sums of i.i.d. random variables
  66. Hardy-type inequalities for a class of iterated operators and their application to Morrey-type spaces
  67. Solving multi-point problem for Volterra-Fredholm integro-differential equations using Dzhumabaev parameterization method
  68. Finite groups with gcd(χ(1), χc (1)) a prime
  69. Small values and functional laws of the iterated logarithm for operator fractional Brownian motion
  70. The hull-kernel topology on prime ideals in ordered semigroups
  71. ℐ-sn-metrizable spaces and the images of semi-metric spaces
  72. Strong laws for weighted sums of widely orthant dependent random variables and applications
  73. An extension of Schweitzer's inequality to Riemann-Liouville fractional integral
  74. Construction of a class of half-discrete Hilbert-type inequalities in the whole plane
  75. Analysis of two-grid method for second-order hyperbolic equation by expanded mixed finite element methods
  76. Note on stability estimation of stochastic difference equations
  77. Trigonometric integrals evaluated in terms of Riemann zeta and Dirichlet beta functions
  78. Purity and hybridness of two tensors on a real hypersurface in complex projective space
  79. Classification of positive solutions for a weighted integral system on the half-space
  80. A quasi-reversibility method for solving nonhomogeneous sideways heat equation
  81. Higher-order nonlocal multipoint q-integral boundary value problems for fractional q-difference equations with dual hybrid terms
  82. Noetherian rings of composite generalized power series
  83. On generalized shifts of the Mellin transform of the Riemann zeta-function
  84. Further results on enumeration of perfect matchings of Cartesian product graphs
  85. A new extended Mulholland's inequality involving one partial sum
  86. Power vector inequalities for operator pairs in Hilbert spaces and their applications
  87. On the common zeros of quasi-modular forms for Γ+0(N) of level N = 1, 2, 3
  88. One special kind of Kloosterman sum and its fourth-power mean
  89. The stability of high ring homomorphisms and derivations on fuzzy Banach algebras
  90. Integral mean estimates of Turán-type inequalities for the polar derivative of a polynomial with restricted zeros
  91. Commutators of multilinear fractional maximal operators with Lipschitz functions on Morrey spaces
  92. Vector optimization problems with weakened convex and weakened affine constraints in linear topological spaces
  93. The curvature entropy inequalities of convex bodies
  94. Brouwer's conjecture for the sum of the k largest Laplacian eigenvalues of some graphs
  95. High-order finite-difference ghost-point methods for elliptic problems in domains with curved boundaries
  96. Riemannian invariants for warped product submanifolds in Q ε m × R and their applications
  97. Generalized quadratic Gauss sums and their 2mth power mean
  98. Euler-α equations in a three-dimensional bounded domain with Dirichlet boundary conditions
  99. Enochs conjecture for cotorsion pairs over recollements of exact categories
  100. Zeros distribution and interlacing property for certain polynomial sequences
  101. Random attractors of Kirchhoff-type reaction–diffusion equations without uniqueness driven by nonlinear colored noise
  102. Study on solutions of the systems of complex product-type PDEs with more general forms in ℂ2
  103. Dynamics in a predator-prey model with predation-driven Allee effect and memory effect
  104. A note on orthogonal decomposition of 𝔰𝔩n over commutative rings
  105. On the δ-chromatic numbers of the Cartesian products of graphs
  106. Binomial convolution sum of divisor functions associated with Dirichlet character modulo 8
  107. Commutator of fractional integral with Lipschitz functions related to Schrödinger operator on local generalized mixed Morrey spaces
  108. System of degenerate parabolic p-Laplacian
  109. Stochastic stability and instability of rumor model
  110. Certain properties and characterizations of a novel family of bivariate 2D-q Hermite polynomials
  111. Stability of an additive-quadratic functional equation in modular spaces
  112. Monotonicity, convexity, and Maclaurin series expansion of Qi's normalized remainder of Maclaurin series expansion with relation to cosine
  113. On k-prime graphs
  114. On the existence of tripartite graphs and n-partite graphs
  115. Classifying pentavalent symmetric graphs of order 12pq
  116. Almost periodic functions on time scales and their properties
  117. Some results on uniqueness and higher order difference equations
  118. Coding of hypersurfaces in Euclidean spaces by a constant vector
  119. Cycle integrals and rational period functions for Γ0+(2) and Γ0+(3)
  120. Degrees of (L, M)-fuzzy bornologies
  121. A matrix approach to determine optimal predictors in a constrained linear mixed model
  122. On ideals of affine semigroups and affine semigroups with maximal embedding dimension
  123. Solutions of linear control systems on Lie groups
  124. A uniqueness result for the fractional Schrödinger-Poisson system with strong singularity
  125. On prime spaces of neutrosophic extended triplet groups
  126. On a generalized Krasnoselskii fixed point theorem
  127. On the relation between one-sided duoness and commutators
  128. Non-homogeneous BVPs for second-order symmetric Hamiltonian systems
  129. Erratum
  130. Erratum to “Infinitesimals via Cauchy sequences: Refining the classical equivalence”
  131. Corrigendum
  132. Corrigendum to “Matrix stretching”
  133. Corrigendum to “A comprehensive review of the recent numerical methods for solving FPDEs”
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