Hindawi Publishing Corporation Advances in Difference Equations Volume 2011, Article ID 913403, 6 pages doi:10.1155/2011/913403 Research Article Notes on Interpolation Inequalities Jiu-Gang Dong1 and Ti-Jun Xiao2 1 2 Department of Mathematics, University of Science and Technology of China, Hefei 230026, China Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai 200433, China Correspondence should be addressed to Ti-Jun Xiao, xiaotj@ustc.edu.cn Received 3 October 2010; Accepted 16 November 2010 Academic Editor: Toka Diagana Copyright q 2011 J.-G. Dong and T.-J. Xiao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. An easy proof of the John-Nirenberg inequality is provided by merely using the CalderónZygmund decomposition. Moreover, an interpolation inequality is presented with the help of the John-Nirenberg inequality. 1. Introduction It is well known that various interpolation inequalities play an important role in the study of operational equations, partial differential equations, and variation problems see, e.g., 1–6. So, it is an issue worthy of deep investigation. Let Q0 be either Rn or a fixed cube in Rn . For f ∈ L1loc Q0 , write 1 f : sup BMO |Q| Q⊂Q0 f − fQ dx, 1.1 Q where the supremum is taken over all cubes Q ⊂ Q0 and fQ : 1/|Q| Q fdx. Recall that BMOQ0 is the set consisting of all locally integrable functions on Q0 such that fBMO < ∞, which is a Banach space endowed with the norm · BMO . It is clear that any bounded function on Q0 is in BMOQ0 , but the converse is not true. On the other hand, the BMO space is regarded as a natural substitute for L∞ in many studies. One of the important features of the space is the John-Nirenberg inequality. There are several versions of its proof; see, for example, 2, 7–9. Stimulated by these works, we give, in this paper, an easy proof of the John-Nirenberg inequality by using the Calderón-Zygmund decomposition only. Moreover, with the help of this inequality, an interpolation inequality is showed for Lp and BMO norms. 2 Advances in Difference Equations 2. Results and Proofs Lemma 2.1 John-Nirenberg inequality. If f ∈ BMOQ0 , then there exist positive constants c1 , c2 such that, for each cube Q ⊂ Q0 , x ∈ Q : fx − fQ > t ≤ c1 exp − c2 t |Q|, f BMO t > 0. 2.1 Proof. Without loss of generality, we can and do assume that fBMO 1. For each t > 0, let Ft denote the least number for which we have x ∈ Q : fx − fQ > t ≤ Ft|Q|, 2.2 for any cube Q ⊂ Q0 . It is easy to see that Ft ≤ 1t > 0 and Ft is decreasing. Fix a cube Q ⊂ Q0 . Applying the Calderón-Zygmund decomposition cf., e.g., 2, 9 to |fx − fQ | on Q, with 2n as the separating number, we get a sequence of disjoint cubes {Qj } and E such that ⎞ Q ⎝ Qj ⎠ ∪ E, ⎛ 2.3 j fx − fQ ≤ 2n , 1 2n < Qj for a.e. x ∈ E, f − fQ dx ≤ 4n . Qj 2.4 2.5 Using 2.5, we have Qj < 1 |Q|. 2n j 2.6 From 2.3, 2.4, and 2.6, we deduce that for t > 4n , x ∈ Q : fx − fQ > t x ∈ Qj : fx − fQ > t j x ∈ Qj : fx − fQ > t − 4n ≤ j 1 Qj x ∈ Qj : fx − fQ > t − 4n Qj j ≤ 1 Ft − 4n |Q|. 2n 2.7 Advances in Difference Equations 3 This yields that Ft ≤ 1 Ft − 4n , 2n 2.8 t > 4n . Let γ t − 14−n t > 4n , μ 1 γ4n . Then 0 < μ ≤ t. By iterating, we get −n Ft ≤ F μ F 1 γ4n ≤ 2−nγ ≤ 2−nt−14 −1 −n 2n14 exp − log 2 n4−n t , t > 4n . 2.9 Thus, letting −n c1 2n14 , c2 log 2 n4−n 2.10 gives that Ft ≤ c1 e−c2 t , t > 0, 2.11 0 < t ≤ 4n . 2.12 since Ft ≤ 1 ≤ c1 e−c2 t , This completes the proof. Remark 2.2. 1 As we have seen, the recursive estimation 2.8 justifies the desired exponential decay of Ft. 2 There exists a gap in the proof of the John-Nirenberg inequality given in 2. Actually, for a decreasing function Gt : 0, ∞ → 0, 1, the following estimate: G2 · 2n α ≤ 1 G2n α, α 2.13 α>1 does not generally imply such a property, that is, the existence of constants c1 , c2 > 0 such that Gt ≤ c1 e−c2 t , 2.14 t > 0. We present the following function as a counter example: 5 −1 2 Gt exp − log log t 1 , 3 t > 0. 2.15 4 Advances in Difference Equations In fact, it is easy to see that there are no constants c1 , c2 > 0 such that 2.14 holds. On the other hand, we have G t Gt 5 −1 logt 1 − log , 2 3 t1 t > 0. 2.16 Integrating both sides of the above equation from 2n α to 2 · 2n α, we obtain n 5 −1 2·2 α logt 1 G2 · 2 α exp −2 log dt G2n α 3 t 1 n 2 α n 5 −1 2 2 n n exp − log log 2 · 2 α 1 − log 2 α 1 G2n α 3 5 −1 2 · 2n α 1 n n G2n α exp − log log2 · 2 α 12 α 1 · log 2.17 3 2n α 1 ≤ exp − log2 · 2n α 12n α 1 G2n α ≤ 2 · 2n α 1 G2n α 12n α 1 1 G2n α, α where the fact that 2 · 2n α 1 5 > 2n α 1 3 α > 1 2.18 is used to get the first inequality above. This means that G2 · 2n α ≤ 1 G2n α, α α > 1. 2.19 Next, we make use of the John-Nirenberg inequality to obtain an interpolation inequality for Lp and BMO norms. Theorem 2.3. Suppose that 1 ≤ p < r < ∞ and f ∈ Lp Q0 ∩ BMOQ0 . Then we have 1−p/r f r ≤ constf p/r f Lp BMO . L 2.20 Advances in Difference Equations 5 0. In view of the Proof. If fBMO 0, the proof is trivial; so we assume that fBMO / Calderón-Zygmund decomposition theorem, there exists a sequence of disjoint cubes {Qj } and E such that ⎞ Q0 ⎝ Qj ⎠ ∪ E, ⎛ 2.21 j fxp ≤ f p BMO p 1 f BMO < Qj for a.e. x ∈ E, 2.22 fxp dx ≤ 2n f p BMO . Qj 2.23 From 2.23, we get Qj < 1 f p j BMO f Qj 1 Qj fxdx ≤ Qj p f p fx dx Lp , f p Q0 BMO 1 Qj fxp dx Qj 1/p 2.24 ≤ 2n/p f BMO . Using 2.21–2.24, together with Lemma 2.1, yields that, for λ > 2n/p fBMO , x ∈ Q0 : fx > λ x ∈ Qj : fx > λ j ≤ x ∈ Qj : fx − fQj > λ − fQj j ≤ 1 Qj x ∈ Qj : fx − fQ > λ − 2n/p f j BMO Qj j c2 n/p f BMO Qj λ−2 ≤ c1 exp − f j BMO c2 ≤ c1 exp − f BMO f p p f BMO p L . f BMO n/p λ−2 2.25 6 Advances in Difference Equations From 2.25, we obtain r f r r L r ∞ λr−1 x ∈ Q0 : fx > λ dλ 0 2n/p fBMO λr−1 x ∈ Q0 : fx > λ dλ 0 r ≤r ∞ 2n/p f BMO 2n/p fBMO λr−1 x ∈ Q0 : fx > λ dλ r−1 λ 0 r 2.26 ∞ 2n/p f BMO p f p L dλ λp r−1 λ c2 c1 exp − f BMO f f p p f BMO p L dλ f BMO n/p λ−2 r n/pr−p f r−p f p p rc1 2n/pr−1 f r−p f p p 2 L L BMO BMO r−p c2 r−p p ≤ constf BMO f Lp . Hence, the proof is complete. Acknowledgments The authors would like to thank the referees for helpful comments and suggestions. The work was supported partly by the NSF of China 11071042 and the Research Fund for Shanghai Key Laboratory for Contemporary Applied Mathematics 08DZ2271900. References 1 D. Gilbarg and N. S. Trudinger, Elliptic Partial Differential Equations of Second Order, Classics in Mathematics, Springer, Berlin, Germany, 2001. 2 Y. S. Han, Mordern Harmonic Analysis Methods and Applications, Science Press, Beijing, China, 1997. 3 H. Triebel, Interpolation Theory, Function Spaces, Differential Operators, vol. 18 of North-Holland Mathematical Library, North-Holland, Amsterdam, The Netherlands, 1978. 4 T.-J. Xiao and J. Liang, The Cauchy Problem for Higher-Order Abstract Differential Equations, vol. 1701 of Lecture Notes in Mathematics, Springer, Berlin, Germany, 1998. 5 T.-J. Xiao and J. Liang, “Complete second order differential equations in Banach spaces with dynamic boundary conditions,” Journal of Differential Equations, vol. 200, no. 1, pp. 105–136, 2004. 6 T.-J. Xiao and J. Liang, “Second order parabolic equations in Banach spaces with dynamic boundary conditions,” Transactions of the American Mathematical Society, vol. 356, no. 12, pp. 4787–4809, 2004. 7 C. George, Exercises in Integration, Springer, New York, NY, USA, 1984. 8 F. John and L. Nirenberg, “On functions of bounded mean oscillation,” Communications on Pure and Applied Mathematics, vol. 14, pp. 415–426, 1961. 9 Elias M. Stein, Harmonic Analysis: Real-Variable Methods, Orthogonality, and Oscillatory Integrals, vol. 43 of Princeton Mathematical Series, Princeton University Press, Princeton, NJ, NY, USA, 1993.