1 Introduction

The Trudinger inequality (also sometimes called the Moser-Trudinger inequality) is named after N. Trudinger who first put forward this inequality in [22]. Later, J. Moser [14] gave a sharp form of this Trudinger inequality. It provides an inequality between a certain Sobolev space norm and an Orlicz space norm of a function. In [14], J. Moser gave the largest positive number β 0 , such that if u C 1 ( R n ), normalized and supported in a domain D with finite measure in R n , such that D | u ( x ) | n dx1, then there is a constant c 0 depending only on n such that for all β β 0 =n w n 1 1 / ( n 1 ) , where w n 1 is the area of the surface of the unit n-ball. The following inequality holds:

D exp ( β | u ( x ) | n / ( n 1 ) ) dx c 0 |D|.
(1.1)

In 1971, D. Adams [1] considered the similar inequality of J. Moser for higher order derivatives. The key, for him, was to write the function u as a potential I α (see the definition below) and prove the analogue of (1.1) as follows:

D exp ( n w n 1 | I α f ( x ) f p | n / ( n α ) ) dx c 0 |D|,for α=n/p,f L p (1<p<).
(1.2)

Variant forms of the Trudinger inequality as a generalization of the classical results, especially in the literature associated with multilinear Riesz potential or multilinear fractional integral, have been studied in recently years (see, for example, [2, 3, 6, 7, 10, 14, 1618, 20, 21]). This kind of inequality plays an important role in Harmonic analysis and other fields, such as PDE.

We begin by introducing a class of multilinear maximal function and multilinear fractional integral operators. Suppose that n2, 0<α<n, Ω is homogeneous of degree zero, and Ω L s ( S n 1 ) (s>1), where S n 1 denotes the unit sphere of R n . The multilinear maximal function and multilinear fractional integral is defined by

I Ω , α Θ ( f )(x)= R n Ω(y) j = 1 m f j (x θ j y) | y | ( α n ) dy
(1.3)

and the fractional maximal operator M Ω , α defined by

M Ω , α Θ ( f )(x)= sup r > 0 1 r n α | y | < r | Ω ( y ) | j = 1 m | f j ( x θ j y ) | dy.
(1.4)

Multilinear fractional integral I Ω , α Θ can be looked at as a natural generalization of the classical fractional integral, which has a very profound background of partial differential equations and is a very important operator in Harmonic analysis. In fact, if we take K=1, θ j =1, and Ω=1, then I Ω , α Θ is just the well-known classical fractional integral operator studied by Muckenhoupt and Wheeden in [15]. We denote it by I α . If Ω1, we simply denote I Ω , α Θ = I α Θ . In recent years, the study of the Trudinger inequality associated to multilinear type operators has received increasing attention. Among them, it is well known that Grafakos considered the boundedness of a family of related fractional integrals in [7]. After that, in [6], Y. Ding and S. Lu gave the following Trudinger inequality with rough kernels.

Theorem A ([6])

Let 0<α<n, s= n α , 1 s = 1 p 1 + 1 p 2 ++ 1 p m , p j >1, j=1,2,,m, m2. Denote B as a ball with a radius R in R n . If f j L p j (B), supp( f j )B, and Ω L n / ( n α ) ( S n 1 ), then for any γ<1, there is a constant C, independent of n, α, θ j , γ, such that

B exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L p j ) n / ( n α ) ) dxC R n ,

where L= j = 1 m | θ j | n / p j , Θ=( θ 1 , θ 2 ,, θ m ), f =( f 1 , f 2 ,, f m ) and

Ω L n / ( n α ) = ( S n 1 | Ω ( x ) | n / ( n α ) d σ ( x ) ) ( n α ) / n .

The definition of multiple weights A p , q was given in [5] and [13] independently, including some weighted estimates for a class of multilinear fractional type operators. These results together with [12] answered an open problem in [8], namely the existence of the multiple weights.

In 2010, W. Li, Q. Xue, and K. Yabuta [16] obtained the weighted estimates for the Trudinger inequality associated to I α Θ as follows.

Theorem B ([16])

Let 0<α<n, s= n α , 1 s = 1 p 1 + 1 p 2 ++ 1 p m , p j >1, ω j (x) A p j , and ω j 1, j=1,2,,m, m2, ν ω = j = 1 m ω j s / p j . Denote B as a ball with the radius R in R n , if f j L ω j p j (B), supp( f j )B, j=1,2,,m, then for any γ<1, there is a constant C, independent of n, α, θ j , γ, such that

B exp ( n ω n 1 γ ( L I α Θ ( f ) ( x ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω dxC j = 1 m ω j (B),

where L= j = 1 m | θ j | n / p j , Θ=( θ 1 , θ 2 ,, θ m ), f =( f 1 , f 2 ,, f m ).

On the other hand, in 1999, Kenig and Stein [11] considered another more general type of multilinear fractional integral which was defined by

I α , A ( f )(x)= ( R n ) m 1 | ( y 1 , , y m ) | m n α i = 1 m f i ( i ( y 1 , , y m , x ) ) d y i ,

where i is a linear combination of y j s and x depending on the matrix A. They showed that I α , A was of strong type ( L p 1 ×× L p m , L q ) and weak type ( L p 1 ×× L p m , L q , ). When i ( y 1 ,, y m ,x)=x y i , we denote this multilinear fractional type operator by I ¯ α . In 2008, L. Tang [20] obtained the estimation of the exponential integrability of the above operator I ¯ α , which is quite similar to Theorem B.

Thus, it is natural to ask whether Theorem B is true or not for I Ω , α Θ with rough kernels. Moreover, one may ask if Theorem B still holds or not for the operator with rough kernels defined by

I ¯ Ω , α ( f )(x)= ( R n ) m j = 1 m | f j ( y j ) | | Ω j ( x y j ) | | ( x y 1 , x y 2 , , x y m ) | m n α d y .

Inspired by the works above, in this paper, we study the Trudinger inequality associated to multilinear fractional integral operators I Ω , α Θ and I ¯ Ω , α with rough homogeneous kernels. Precisely, we obtain the following theorems, which give a positive answer to the above questions.

Theorem 1.1 Let 0<α<n, s= n α , 1 s = 1 p 1 + 1 p 2 ++ 1 p m , p j >1, j=1,2,,m, m2. Denote B as a ball with radius R in R n ; if f j L ω j p j (B), supp( f j )B (j=1,2,,m), Ω L n / ( n α ) ( S n 1 ), and ν ω = j = 1 m ω j s p j , where ω j A s , ω j 1. Then for any γ<1, there is a constant C, independent of n, α, θ j , γ, such that

B exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω dxC j = 1 m ω j (B),

where L= j = 1 m | θ j | n / p j , Θ=( θ 1 , θ 2 ,, θ m ), f =( f 1 , f 2 ,, f K ).

Remark 1.1 If we take Ω=1, then Theorem 1.1 coincides with Theorem B. If w j 1 for j=1,,K, then Theorem 1.1 is just Theorem A that appeared in [6]. We give an example of ν ω as follows: Let ω j (x)= ( 1 + | x | ) α j ( α j 0 for each j), then ν ω (x) satisfy the conditions of the above Theorem 1.1.

Remark 1.2 Assume m=1, ω j =1. If α=1, Trudinger [20] proved exponential integrability of I α ( f ), and Strichartz [19] for other α. In 1972, Hedberg [9] gave a simpler proof for all α. In 1970, Hempel-Morris-Trudinger [10] showed that if γ>1, for α=1 the inequality in Theorem 1.1 cannot hold, and later Adams [1] obtained the same conclusion for all α; meanwhile, in the endpoint case γ=1, it is true. In 1985, Chang and Marshall [4] proved a similar sharp exponential inequality concerning the Dirichlet integral. Assume m2, w j =1, then the result was obtained by Grafakos [7] as we have already mentioned above.

Corollary 1.2 Let B, f j , p j , s, and ν ω be the same as in Theorem  1.1, then I Ω , α Θ ( f ) is in L q ( ν ω (B)) for every q>0, that is,

I Ω , α Θ ( f ) L q ( ν ω ( B ) ) C Ω L n / ( n α ) ( S n 1 ) j = 1 m f j L ω j p j

for some constant C depending only on q on n on α and on the θ j ’s.

Theorem 1.3 Let m2, 0<α<mn, 1/p=1/ p 1 +1/ p 2 ++1/ p m =α/n with 1< p i < for i=1,2,,m. Let B be a ball with radius R in R n and let f j L p j (B) be supported in B, and if Ω j is homogeneous of degree zero, and Ω j L p j ( S n 1 ), where S n 1 denotes the sphere of R n , and ν ω ( y )= j = 1 m ω j 1 / p j ( y j ), where y =( y 1 , y 2 ,, y m ) and ω j A s , ω j 1. Then there exist constants k 1 , k 2 depending only on n, m, α, p, and the p j such that

B exp ( k 1 ( | I ¯ Ω , α ( f ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ) n / ( m n α ) ) ν ω (x)dx k 2 j = 1 m ω j (B).

Remark 1.3 If we take Ω=1, w j 1 for j=1,,m, then Theorem 1.3 is just as Theorem 1.3 appeared in [20]. But there is something that needs to be changed in the proof of Theorem 1.3 in [20]. In the case r 1 = r 2 == r m 1 =0, one cannot obtain the conclusion that F 2 C 2 [ log 2 m R δ ] ( m n α ) / n . Thus, our proof gives an alternative correction of Theorem 1.3 in [20].

Corollary 1.4 Let B, f j , p j , s, and ν ω be the same as in Theorem  1.3. Then I ¯ Ω , α ( f ) is in L q ( ν ω (B)) for every q>0, that is,

I ¯ Ω , α ( f ) L q ( ν ω ( B ) ) C j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j

for some constant C depending only on q on n on α.

Corollary 1.2 and Corollary 1.4 follow since exponential integrability of I ¯ Ω , α ( f ) implies integrability to any power q.

On the other hand, we shall study the boundedness of the multilinear fractional maximal operator with a weighted norm. It follows the following theorem.

Theorem 1.5 If 1< p j <, 1 s = j = 1 m 1 p j , 1 r = 1 s α n , ω j p j s A(s, s r j p j ), 1/ r j =1/ p j (1αs/n), j=1,2,,m, ν ω = j = 1 m ω j , then there is a constant C, independent f j , such that

( R n ( M 1 , α Θ ( f ) ( x ) ν ω ( x ) ) r d x ) 1 r C j = 1 m ( R n | f j ( x ) ω j ( x ) | p j d x ) 1 p j ,

where f =( f 1 , f 2 ,, f m ), f j L ω j p j ( R n ).

2 The proof of Theorem 1.1

In this section, we will prove Theorem 1.1.

Proof For any δ>0,

| I Ω , α Θ ( f ) ( x ) | C δ α M Ω ( f )(x)+ | y | δ | Ω ( y ) | | y | n α j = 1 m f j (x θ j y)dy.

Set P=2min{ 1 θ j :j=1,2,,K}. For any R>0, denote B(R) as a ball with radius R in R n , then for any xB(R), when |x θ j y|<R, | θ j y|<2R for j=1,,m. Therefore, |y|<RP. So,

| y | δ j = 1 m f j (x θ j y) | y | α n dy= δ | y | < P R j = 1 m f j (x θ j y) | y | α n dy.

According to the relationship between s and p j : 1 p 1 + 1 p 2 ++ 1 p m + 1 n / ( n α ) =1, from the Hölder’s inequality and ν ω 1, it follows that

δ | y | < P R Ω ( y ) j = 1 m f j ( x θ j y ) | y | α n d y ( δ | y | P R ( j = 1 m f j ( x θ j y ) ) s d y ) 1 / s ( δ | y | P R ( | Ω ( y ) | | y | n α ) s d y ) 1 / s ( δ | y | P R j = 1 m f j ( x θ j y ) s ν ω ( x θ j y ) d y ) 1 / s Ω L s ( ln P R δ ) n α n j = 1 m ( δ | y | P R | f j ( x θ j y ) | p j ω j ( x θ j y ) d y ) 1 p j Ω L s ( 1 n ln ( P R δ ) n ) n α n L 1 j = 1 m f j L ω j p j Ω L s ( 1 n ln ( P R δ ) n ) n α n .

Hence, we obtain that

| I Ω , α Θ ( f ) ( x ) | C δ α M Ω f (x)+ L 1 j = 1 m f j L ω j p j Ω L s ( 1 n ln ( P R δ ) n ) n α n .

Set δ=ε ( | I Ω , α Θ ( f ) ( x ) | / C M Ω ( f ) ( x ) ) 1 / α , then

exp { n γ ( L I Ω , α Θ ( f ) ( x ) Ω L s j = 1 m f j L ω j p j ) n n α } lnC R n ( M Ω ( f ) ( x ) I Ω , α Θ ( f ) ( x ) ) n / α .

Now we put B 1 ={xB: I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j 1}, B 2 =B B 1 , thus

B 1 exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω ( x ) d x C R n B 1 ( M Ω ( f ) ( x ) I Ω , α Θ ( f ) ( x ) ) n / α ν ω ( x ) d x C R n B 1 ( M Ω ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / α ν ω ( x ) d x .

By the fact that

M Ω ( f ) ( x ) = sup r > 0 | y | < r | Ω ( y ) | j = 1 m s p j j = 1 m f j ( x θ j y ) d y sup r > 0 j = 1 m ( 1 r n | y | < r | Ω ( y ) | f j p j s ( x θ j y ) d y ) s p j j = 1 m ( M Ω ( f p j s ) ( x ) ) s p j .

Therefore, we get

B 1 exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω ( x ) d x C R n Ω L n / ( n α ) j = 1 m f j L ω j p j s B 1 j = 1 m ( M Ω ( f j p j s ( x ) ) ) s 2 p j ν ω ( x ) d x C R n Ω L n / ( n α ) j = 1 m f j L ω j p j s j = 1 m ( B 1 ( M Ω ( f j p j s ( x ) ) ) s ω j ( x ) d x ) 1 s s 2 p j C R n Ω L n / ( n α ) j = 1 m f j L ω j p j s j = 1 m f j p j s L ω j s s 2 p j C R n .

Here, in the above third inequality, we have used the well-known weighted result of Hardy-Littlewood maximal function.

From ω j 1 (j=1,2,,m), we get

R n =c B dxc B ω j (x)dx=c ω j (B).

Hence,

B 1 exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω (x)dx C j = 1 m ω j (B).

On the other hand,

B 2 exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω ( x ) d x exp ( n γ ) ( L Ω L s ) n n α B 2 ν ω ( x ) d x C j = 1 m ω j ( B ) .

From the above all, we obtain that

B exp ( n γ ( L I Ω , α Θ ( f ) ( x ) Ω L n / ( n α ) j = 1 m f j L ω j p j ) n / ( n α ) ) ν ω (x)dxC j = 1 m ω j (B).

 □

3 The proof of Theorem 1.5

In this section, we will prove Theorem 1.5.

Proof By the well-known Hölder’s inequality, we get

M 1 , α ( f ) ( x ) = sup r > 0 1 | r | n α | y | < r j = 1 m f j ( x y ) d y sup r > 0 1 | r | n α j = 1 m ( | y | < r f j p j s ( x y ) d y ) s p j j = 1 m ( sup r > 0 1 | r | n α | y | < r f j p j s ( x y ) d y ) s p j = j = 1 m ( M 1 , α ( f p j / s ) ( x ) ) s p j .

Hence,

( R n ( M 1 , α ( f ) ( x ) ν ω ( x ) ) r d x ) 1 / r [ R n ( j = 1 m [ M 1 , α ( f p j / s ) ( x ) ω j p j / s ( s ) ] s p j ) r d x ] 1 / r j = 1 m [ R n ( M 1 , α ( f j p j / s ) ( x ) ω p j / s ( x ) ) s r j / p j d x ] p j s r j s p j .

In addition, from the condition ω j p j / s (x)A(s, s r j p j ), it follows that

[ R n ( M 1 , α ( f j p j / s ) ( x ) ω p j / s ( x ) ) s r j / p j d x ] p j s r j s p j C j [ R n ( f j p j / s ( x ) ω j p j / s ( x ) ) s d x ] 1 / p j .

According to the above, we obtain that

( R n ( M 1 , α ( f ) ( x ) ν ω ( x ) ) r d x ) 1 / r =C j = 1 m ( R n ( f j ( x ) ω j ( x ) ) p j d x ) 1 / p j .

It is easy to see that

M 1 , α Θ ( f )(x)= sup r > 0 1 r n α | y | < r j = 1 m | f j ( x θ j y ) | dy,

where Θ=( θ 1 , θ 2 ,, θ m ), θ j R holds, also. □

4 The proof of Theorem 1.3

In this section, we will prove Theorem 1.3.

Proof For any δ>0 and xB,

| I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | | ( x y 1 , x y 2 , , x y m ) | < δ j = 1 m | Ω j ( y j ) f j ( y j ) | | ( x y 1 , x y 2 , , x y m ) | m n α d y + | ( x y 1 , x y 2 , , x y m ) | δ j = 1 m | Ω j ( y j ) f j ( y j ) | | ( x y 1 , x y 2 , , x y m ) | m n α d y : = F 1 + F 2 .

For F 1 , let α= j = 1 m α j with α j =n/ p j for j=1,2,,m. Then

F 1 | ( x y 1 , x y 2 , , x y m ) | < δ | Ω j ( y j ) f j ( y j ) | j = 1 m | x y j | n α j d y j = 1 m | x y j | < δ | Ω j ( y j ) f j ( y j ) | | x y j | n α j d y j C j = 1 m δ α j M Ω j ( f j ) ( x ) : = C 1 δ α j = 1 m M Ω j ( f j ) ( x ) ,

where M Ω denotes as M Ω (f)(x)= sup r > 0 1 r n | x y | < r |Ω(y)f(y)|dy.

For F 2 , if ( y 1 , y 2 ,, y m ) satisfies |(x y 1 ,x y 2 ,,x y m )|δ, then for some j1,2,,m, |x y j | δ m . Without losing the generalization, we set j=m.

Thus,

F 2 δ / m | x y m | 2 R ( R n ) m 1 j = 1 m | Ω j ( y j ) f j ( y j ) | | ( x y 1 , x y 2 , , x y m ) | m n α d y .

Define that f j 0 = f j χ B ( x , δ / m ) and f j =f f j 0 for j=1,2,,m. By the condition of ν ω , we have

F 2 r { 0 , } m δ / m | x y m | 2 R ( R n ) m 1 j = 1 m 1 | Ω j ( y j ) f j r j ( y j ) | | Ω m ( y m ) f m ( y m ) | | ( x y 1 , x y 2 , , x y m ) | m n α d y r { 0 , } m δ / m | x y m | 2 R ( R n ) m 1 j = 1 m 1 | Ω j ( y j ) f j r j ( y j ) | | Ω m ( y m ) f m ( y m ) | | ( x y 1 , x y 2 , , x y m ) | m n α ν ω ( y ) d y ,

where r =( r 1 , r 2 ,, r m ). In the case that r 1 = r 2 == r m 1 =0, by the fact that

| ( x y 1 , x y 2 , , x y m ) | m n α | x y m | m n α = | x y m | n α m | x y m | j = 1 m 1 n / p j | x y m | n α m ( δ m ) j = 1 m 1 n / p j ,

we have

δ / m | x y m | 2 R ( R n ) m 1 j = 1 m 1 | Ω j ( y j ) f j 0 ( y j ) | | Ω ( y m ) f m ( y m ) | | ( x y 1 , x y 2 , , x y m ) | m n α ν ω ( y ) d y j = 1 m 1 δ n p j δ m | x y m | 2 R | Ω m ( y m ) f m ( y m ) | | x y m | n α m ω m 1 / p m ( y m ) d y m × j = 1 m 1 | x y j | < δ / m | Ω j ( y j ) f j ( y j ) | ω j 1 / p j ( y j ) d y j C j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ( log 2 R m δ ) 1 / p m C j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ( log 2 R m δ ) ( m n α ) / n .

Consider the case where exactly l of the r j are ∞ for some 1lm. Without losing the generalization, we only give the argument for r j =, j=1,2,,l, then

δ / m | x y m | 2 R ( R n ) m 1 j = 1 m Ω j ( y j ) j = 1 l | f j ( y j ) k = l + 1 m 1 f k 0 ( y k ) f m ( y m ) | | ( x y 1 , x y 2 , , x y m ) | m n α ν ω d y k = l + 1 m 1 | x y k | < δ / m | Ω k ( y k ) f k ( y k ) | ω k 1 / p m ( y k ) d y k × j = 1 l δ / m | x y j | 2 R | Ω j ( y j ) f j ( y j ) | | x y j | n α j ω j 1 / p j ( y j ) d y j × δ / m | x y m | 2 R | Ω m ( y m ) f m ( y m ) | | x y m | ( m l ) n k = l + 1 m α k ω m 1 / p m ( y m ) d y m C [ log 2 m R δ ] k = 1 l 1 p m j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j C j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j [ log 2 m R δ ] ( m n α ) / n .

Combining the above cases, we obtain

F 2 C 2 j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j [ log 2 m R δ ] ( m n α ) / n .

Thus, by the estimates for F 1 , F 2 , we have

I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) C 1 δ α j = 1 m M Ω j ( f j ) ( x ) + C 2 j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j [ log 2 m R δ ] ( m n α ) / n .

In particular, we chose δ=2 m R for all xB, then

I ¯ Ω , α ( f 1 , f 2 ,, f m )(x) C 1 δ α j = 1 m M Ω j ( f j )(x).

Now, we set

δ=δ(x)=ε [ | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | / C 1 j = 1 m M Ω j ( f j ) ( x ) ] 1 / α ,

where ε<1.

Then

| I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | ε α | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | + C 2 j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j [ 1 n log ( ( 2 m R ) n [ C 1 j = 1 m M Ω j ( f j ) ( x ) ] n / α ε n | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | n / α ) ] ( m n α ) / n .

Hence,

exp ( k 1 ( | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ) n / ( m n α ) ) C [ j = 1 m M Ω j ( f j ) ( x ) ] n / α | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | n / α .

Let B 1 ={xB: | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L p j 1} and B 2 =B B 1 , then

B 1 exp ( k 1 ( | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ) n / ( m n α ) ) ν ω d x C R n B 1 ( j = 1 m M Ω j ( f j ) ( x ) j = 1 m Ω j L p j ( S n 1 ) f j L ω j p j ) n / α ν ω d x C R n ( j = 1 m M Ω j ( f j ) L ω j p j Ω j L p j ( S n 1 ) f j L ω j p j ) n / α C R n C j m ω j ( B ) .

On the other hand,

B 2 exp ( k 1 ( | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L p j ) n / ( m n α ) ) ν ω ( x ) d x exp ( k 1 ) j = 1 m B 2 ω j ( x ) d x C j = 1 m ω j ( B ) .

Combining the above results, we obtain

B exp ( k 1 ( | I ¯ Ω , α ( f 1 , f 2 , , f m ) ( x ) | j = 1 m Ω j L p j ( S n 1 ) f j L p j ) n / ( m n α ) ) ν ω (x)dx k 2 j = 1 m ω j (B),

where k 1 , k 2 are constants depending only on n, m, α, p, and the p j . □

Authors’ information

  1. H.

    Feng’s current address: Department of Mathematical and Statistical Sciences, University of Alberta, Canada.