Journal of Inequalities in Pure and Applied Mathematics A NEW ARRANGEMENT INEQUALITY MOHAMMAD JAVAHERI University of Oregon Department of Mathematics Fenton Hall, Eugene, OR 97403. volume 7, issue 5, article 162, 2006. Received 29 April, 2006; accepted 17 November, 2006. Communicated by: G. Bennett EMail: javaheri@uoregon.edu URL: http://www.uoregon.edu/∼javaheri Abstract Contents JJ J II I Home Page Go Back Close c 2000 Victoria University ISSN (electronic): 1443-5756 126-06 Quit Abstract In this paper, we discuss the validity of the inequality n n n X X X (1+a+b)/2 xi xai xbi+1 ≤ xi i=1 i=1 !2 , i=1 where 1, a, b are the sides of a triangle and the indices are understood modulo n. We show that, although this inequality does not hold in general, it is true when n ≤ 4. For general n, we show that any given set of nonnegative real numbers can be arranged as x1 , x2 , . . . , xn such that the inequality above is valid. A New Arrangement Inequality Mohammad Javaheri Title Page Contents 2000 Mathematics Subject Classification: 26Dxx. Key words: Inequality, Arrangement. JJ J I would like to thank Omar Hosseini for bringing to my attention the case a = b = 1 of the inequality (1.2). I would also like to thank Professor G. Bennett for reviewing the article and making useful comments. II I Go Back Close Contents 1 Main Statements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Proofs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References Quit 3 5 Page 2 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au 1. Main Statements Let a, b, x1 , x2 , . . . , xn be nonnegative real numbers. If a + b = 1 then, by the Rearrangement inequality [1], we have n X (1.1) i=1 xai xbi+1 ≤ n X xi , i=1 where throughout this paper, the indices are understood to be modulo n. In an attempt to generalize this inequality, we consider the following !2 n n n X X X a b c xi xi xi+1 ≤ xi , (1.2) i=1 i=1 i=1 b ≤ a + 1, a ≤ b + 1, 1 ≤ a + b, then the inequality (1.2) is true in the case of n = 4 (cf. Prop. 2.1). Moreover, under the same conditions on a, b as in (1.3), we show that one can always find a permutation µ of {1, 2, . . . , n} such that (cf. Prop. 2.4) !2 n n n X X X (1.4) xi xaµ(i) xbµ(i+1) ≤ xci . i=1 i=1 Mohammad Javaheri Title Page where c = (a + b + 1)/2. It turns out that if a + b 6= 1 then the inequality (1.2) is false for n large enough (cf. Prop. 2.2). However, we show that if (1.3) A New Arrangement Inequality Contents JJ J II I Go Back Close Quit Page 3 of 17 i=1 The conditions in (1.3) cannot be compromised in the sense that if for all nonnegative x1 , x2 , . . . , xn there exists a permutation µ such that the conclusion J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au (1.4) holds, then a, b must satisfy (1.3). To see this, let x1 = x > 0 be arbitrary and xi = 1, i = 2, . . . , n. Then, for any permutation µ, the inequality (1.4) reads the same as: (1.5) (x + n − 1)(xa + xb + n − 2) ≤ (xc + n − 1)2 . If the above inequality is true for all x and n, by comparing the coefficients of n on both sides of the inequality (1.5), we should have xa + xb + x − 3 ≤ 2xc − 2. Since x > 0 is arbitrary, 1, a, b ≤ c and conditions (1.3) follow. The case of a = b = 1 of (1.2) is particularly interesting: A New Arrangement Inequality Mohammad Javaheri (1.6) n X i=1 xi n X i=1 xi xi+1 ≤ n X !2 3/2 xi . i=1 There is a counterexample to (1.6) when n = 9, e.g. take (1.7) x1 = x9 = 8.5, x2 = x8 = 9, x4 = x6 = 11.5, x5 = 12, x3 = x7 = 10, Title Page Contents JJ J II I Go Back and subsequently the inequality (1.6) is false for all n ≥ 9 (cf. prop. (2.2)). Proposition 2.1 shows that the inequality (1.6) is true for n ≤ 4, and there seems to be a computer-based proof [2] for the cases n = 5, 6, 7 which, if true, leaves us with the only remaining case n = 8. Close Quit Page 4 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au 2. Proofs Applying Jensen’s inequality [1, § 3.14] to the concave function log x gives ur v s wt ≤ ru + sv + tw, (2.1) where u, v, w, r, s, t are nonnegative real numbers and r + s + t = 1. If, in addition, we have r, s, t > 0 then the equality occurs iff u = v = w. However, if t = 0 and r, s, w > 0 then the equality occurs iff u = v. We use this inequality in the proof of the proposition below. Proposition 2.1. Let a, b ≥ 0 such that a + 1 ≥ b, b + 1 ≥ a and a + b ≥ 1. Then for all nonnegative real numbers x, y, z, t, (2.2) (x + y + z + t)(xa y b + y a z b + z a tb + ta xb ) ≤ (xc + y c + z c + tc )2 , where c = (a + b + 1)/2. The equality occurs if and only if {a, b} = {0, 1} or x = y = z = t. Proof. We apply the inequality (2.1) to c Mohammad Javaheri Title Page Contents JJ J II I Go Back c c u = (yz) , v = (xz) , w = (xy) , a b 1 r =1− , s=1− , t=1− , c c c (2.3) A New Arrangement Inequality Close Quit Page 5 of 17 and obtain: (2.4) a b 1 c c (yz) + 1 − (xz) + 1 − (xy)c . x y z ≤ 1− c c c a b J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Notice that the assumptions on a, b in the lemma are made exactly so that r, s, t are nonnegative. Similarly, by replacing z with t in (2.4), we have: a b 1 a b c c (2.5) x y t≤ 1− (yt) + 1 − (tx) + 1 − (xy)c . c c c Next, apply (2.1) to (2.6) u = x2c , v = (xy)c , b r =1− , c w = 1, b s= , c t = 0, Mohammad Javaheri and get (2.7) A New Arrangement Inequality x a+1 b y ≤ b 1− c b x2c + (xy)c . c Title Page Contents Similarly, by interchanging a and b, one has a 2c a (2.8) xa y b+1 ≤ 1 − x + (xy)c . c c JJ J II I Go Back Adding the inequalities (2.4), (2.5), (2.7) and (2.8) gives: Close 1 3 (2.9) Sxa y b ≤ x2c + 4 − c c (xy)c + 1 − a b (yz)c + 1 − (tx)c c c a b c + 1− (yt) + 1 − (xz)c , c c Quit Page 6 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au where S = x+y+z+t. There are three more inequalities of the form above that are obtained by replacing the pair (x, y) by (y, z), (z, t) and (t, x). By adding all four inequalities (or by taking the cyclic sum of (2.9)) we have 1 X 2c 2 2 (2.10) ST ≤ x + 4− (xc + z c )(y c + tc ) + (xz)c + (yt)c , c c c where ST stands for the left hand side of the inequality (2.2). The right hand side of the above inequality is equal to X 2 1 c (2.11) x + − 1 (xc + z c )2 + (y c + tc )2 − 2(xc + z c )(y c + tc ) , c P which is less than or equal to ( xc )2 , since c ≥ 1. This concludes the proof of the inequality (2.2). Next, suppose the equality occurs in (2.2) (2.4) – (2.8) P and Pso the inequalities P are all equalities. If a = 0 then we have x xb = ( xc )2 and so, by the equality case of Cauchy-Schwarz, the two vectors (x, y, z, t) and (xb , y b , z b , tb ) have to be proportional. Then either b = c = 1 or x = y = z = t. Thus suppose a, b 6= 0. Since c = a = b is impossible, without loss of generality suppose that c 6= b. Since the inequality (2.7) must be an equality, x2c = xc y c (cf. the discussion on the equality case of (2.1)). Similarly y 2c = y c z c , z 2c = z c tc and t2c = tc xc . It is then not difficult to see that x = y = z = t. Let N (a, b) denote the largest integer n for which the inequality (1.2) holds for all nonnegative x1 , x2 , . . . , xn . By the above proposition, we have N (a, b) ≥ 4. A New Arrangement Inequality Mohammad Javaheri Title Page Contents JJ J II I Go Back Close Quit Page 7 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Proposition 2.2. Let a, b ≥ 0 such that a + b 6= 1. Then N (a, b) < ∞. Moreover, if n ≤ N (a, b) then the inequality (1.2) is valid for all nonnegative x1 , . . . , x n . Proof. The proof is divided into two parts. First we show that the inequality (1.2) cannot be true for all n. Proof is by contradiction. If a = b = 0 then (1.2) is false for n = 2 (e.g. take x1 = 1, x2 = 2). Thus, suppose a + b > 0 and that the inequality (1.2) is true for all n. Let f be a non-constant positive continuous function on the interval I = [0, 1] such that f (0) = f (1). Let i−1 (2.12) xi = f , yi = (xai xbi+1 )1/(a+b) , i = 1, . . . , n. n Since yi is a number between xi and xi+1 (possibly equal to one of them), by the Intermediate-value theorem [3, Th 3.3], there exists ti ∈ Ii such that f (ti ) = yi . By the definition of integral we have: Z Z f (x)dx (2.13) I I 1 n→∞ n2 f a+b (x)dx = lim = lim n→∞ 1 n2 1 n→∞ n2 ≤ lim n X i=1 n X xi xi i=1 n X i=1 n X i=1 n X yia+b Mohammad Javaheri Title Page Contents JJ J II I Go Back xai xbi+1 Close i=1 Quit !2 xci A New Arrangement Inequality Z = f c (x)dx 2 , Page 8 of 17 I J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 where we have applied the inequality (1.2) to the xi ’s. On the other hand, by http://jipam.vu.edu.au the Cauchy-Schwarz inequality for integrals, we have Z 2 Z Z a+b 1 a+b f (x)dx f (x)dx ≥ f 2 (x)f 2 (x)dx (2.14) I I I Z 2 c f (x)dx , = I a+b with equality iff f and f are proportional. The statements (2.13) and (2.14) imply that the equality indeed occurs. Since a + b 6= 1 and f is not a constant function, the two functions f and f a+b cannot be proportional. This contradiction implies that (1.2) could not be true for all n i.e. N (a, b) < ∞. Next, we show that (1.2) is valid for all n ≤ N . It is sufficient to show that if the inequality (1.2) is true for all ordered sets of k +1 nonnegative real numbers, then it is true for all ordered sets of k nonnegative real numbers. Let y1 , . . . , yk be nonnegative real numbers and set (2.15) S= k X i=1 yi , A= k X b yia yi+1 , i=1 P = k X yic . i=1 Without loss of generality we can assume P = 1. For each 1 ≤ i ≤ k, define an ordered set of k + 1 nonnegative real numbers by setting: 1≤j ≤i+1 yj xj = yj−1 i + 2 ≤ j ≤ k + 1 Applying the inequality (1.2) to x1 , . . . , xk+1 gives (2.16) (S + yi )(A + yia+b ) ≤ (P + yic )2 = 1 + yi2c + 2yic . A New Arrangement Inequality Mohammad Javaheri Title Page Contents JJ J II I Go Back Close Quit Page 9 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Adding these inequalities for i = 1, . . . , k, yields: X (2.17) kSA + S yia+b + AS ≤ k + 2. i On the other hand, by the Rearrangement inequality [1] we have (2.18) k X b yia yi+1 ≤ k X i=1 yia+b , i=1 and the lemma follows by putting together the inequalities (2.17) and (2.18). A New Arrangement Inequality Mohammad Javaheri The inequality (1.1) translates to N (a, b) = ∞ when a + b = 1. We expect that N (a, b) → ∞ as a + b → 1. The following proposition supports this conjecture. We define !2 n n n X X X (2.19) An (a, b) = sup xi xai xbi+1 − xci max xi = 1 . 1≤i≤n i=1 i=1 i=1 This number roughly measures the validity of the inequality (1.2). Also let n (2.20) 1X t x. σt = n i=1 i By the Hölder inequality [1], if α, β > 0 and α + β = 1 then for any s, t > 0 we have: (2.21) σsα σtβ ≥ σαs+βt . Title Page Contents JJ J II I Go Back Close Quit Page 10 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Proposition 2.3. N (u, u) is a non-increasing function of u ≥ 1/2. Moreover, for all n and a, b ≥ 0 lim An (a, b) = 0. (2.22) a+b→1 Proof. Suppose u > v > 1/2. We show that N (u, u) ≤ N (v, v). Without loss of generality we can assume: 1 (2.23) u−v < . 4 By the definition of N = N (v, v), there must exist N + 1 nonnegative integers x1 , . . . , xN +1 such that the inequality (1.2) is false and so !2 N +1 N +1 N +1 X X X v+1/2 (2.24) xi xvi xvi+1 > xi . i=1 i=1 i=1 We show that the nonnegative numbers yi = i = 1, . . . , N + 1 give a counterexample to (1.2) when a = b = u. In light of (2.24), one just needs to show !2 , N +1 !2 , N +1 N +1 N +1 X X u/v X X u+1/2v u+1/2 (2.25) xi xi ≥ xi xi . i=1 i=1 u + 1/(2v) − u/v , u + 1/(2v) − 1 1 s = 1, t = u + . 2v α= Title Page i=1 JJ J II I Go Back Close Quit To prove this, first let (2.26) Mohammad Javaheri Contents u/v xi , i=1 A New Arrangement Inequality β= u/v − 1 , u + 1/(2v) − 1 Page 11 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au The numbers above are simply chosen such that α + β = 1 and αs + βt = u/v. We briefly check that α, β > 0. The denominator of fractions above is positive, since u + 1/(2v) ≥ (v + 1/v)/2 ≥ 1. This implies β > 0. Now the positivity of α > 0 is equivalent to u(1 − v) < 1/2. If v ≥ 1 then u(1 − v) ≤ 0 < 1/2. So suppose v ≤ 1. By using (2.23), we have: 1 3 1 1 (2.27) u(1 − v) ≤ v + (1 − v) = −v 2 + v + < , 4 4 4 2 for all v ≥ 0. Now we can safely plug α, β, s, t in (2.21) and get A New Arrangement Inequality Mohammad Javaheri β σ1α σu+1/2v ≥ σu/v . (2.28) Next, let α0 = (1 − α)/2 and β 0 = 1 − β/2. Since α0 + β 0 = 1 and α0 , β 0 > 0, we can use Hölder’s inequality (2.21) with α0 , β 0 instead of α and β (and the same s, t as before) and get (this time α0 s + β 0 t = u + 1/2): (2.29) (1−α)/2 1−β/2 σ1+1/2v σ1 ≤ σu+1/2 . Now we square the above inequality and multiply it with (2.28) to obtain: (2.30) 2 2 σ1 σ1+1/2v ≤ σu/v σu+1/2 , which is equivalent to the inequality (2.25). So far we have shown the existence of a counterexample to (1.2) for a = b = u when n = N + 1. Then Prop. 2.2 gives N (u, u) ≤ N = N (v, v) and this concludes the proof of the monotonicity of N . Title Page Contents JJ J II I Go Back Close Quit Page 12 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au It remains to prove that An (a, b) converges to 0 as a+b → 1. To the contrary, assume there exists > 0 and a sequence (aj , bj ) such that An (aj , bj ) > and aj + bj → 1. Then by definition, for each j, there exists an n-tuple Xj = (x1j , . . . , xnj ) such that max xij = 1 and !2 n n n X X X cj aj bj ≥ , xij (2.31) xij xij xi+1j − 2 i=1 i=1 i=1 where cj = (aj + bj + 1)/2. Since Xj is a bounded sequence, it follows that, along a subsequence jk , the Xjk ’s converge to some X = (x1 , . . . , xn ). On the other hand, along a subsequence of jk (denoted again by jk ), ajk → a and bjk → b for some a, b ≥ 0. Since aj + bj → 1, we have a + b = 1. By taking the limits of the inequality (2.31) along this subsequence, we should have !2 n n n X X X (2.32) xi xai xbi+1 − xi ≥ > 0, 2 i=1 i=1 i=1 which contradicts the inequality (1.1). This contradiction establishes the equation (2.22). The next proposition shows that the inequality (1.2) holds if one mixes up the order of the xi ’s. The proof is simple and makes use of the monotonicity of (σt )1/t where σt is defined by the equation (2.20). It is well-known that (σt )1/t is a non-decreasing function of t [1, Th. 16]. Proposition 2.4. Let a, b, c be as in Proposition 2.1. Then for any given set of n nonnegative real numbers there exists an arrangement of them as x1 , . . . , xn such that the inequality (1.2) holds. A New Arrangement Inequality Mohammad Javaheri Title Page Contents JJ J II I Go Back Close Quit Page 13 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Proof. Equivalently, we show that if x1 , x2 , . . . , xn are nonnegative then there exists a permutation µ of the set {1, 2, . . . , n} such that the inequality (1.4) holds. Let (2.33) S= n X xi , T = i=1 n X X xai xbj . i=1 j6=i Then ST = nσ1 (n2 σa σb −nσa+b ) = n3 σ1 σa σb −n2 σ1 σa+b . Now by the CauchySchwarz inequality [4], σc2 ≤ σ1 σa+b . On the other hand by the monotonicity of 1/t 1/c a/c b/c σt , we have σ1 ≤ σc , σa ≤ σc , σb ≤ σc , and so σ1 σa σb ≤ σc2 . It follows from these inequalities that (2.34) ST ≤ n2 (n − 1)σc2 . Now for a permutation µ of 1, 2, . . . , n, let: (2.35) Aµ = n X xaµ(i) xbµ(i+1) . i=1 We would like to show that SAµ ≤ (nσc )2 for some permutation µ. It is sufficient to show that the average of SAµ over all permutations µ is less than or equal to (nσc )2 . To show this, observe that the average of SAµ is equal to ST /(n − 1) and so the claim follows from the inequality (2.34). The symmetric group Sn acts on Rn in the usual way, namely for µ ∈ Sn and (x1 , . . . , xn ) ∈ Rn let A New Arrangement Inequality Mohammad Javaheri Title Page Contents JJ J II I Go Back Close Quit Page 14 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au (2.36) µ · (x1 , . . . , xn ) = (xµ(1) , . . . , xµ(n) ). Let R be a region in Rn that is invariant under the action of permutations (i.e. µ · R ⊆ R for all µ). define: !2 n n n X X X a b c (2.37) λ(R) = (x1 , . . . , xn ) ∈ R xi xi xi+1 ≤ xi . i=1 i=1 i=1 By Proposition 2.4: (2.38) R⊆ [ µ · λ(R). Mohammad Javaheri µ∈Sn In particular, by taking the Lebesgue measure of the sides of the inclusion above, we get (2.39) vol R vol λ(R) ≥ . n! We prove a better lower bound for vol λ(R) when n is a prime number (similar but weaker results can be proved in general). Proposition 2.5. Let a, b be as in Proposition 2.1 and n be a prime number. Let R ⊆ Rn+ be a Lebesgue-measurable bounded set that is invariant under the action of permutations. Let λ(R) denote the set of all (x1 , . . . , xn ) ∈ R for which the inequality (1.2) holds. Then (2.40) vol λ(R) ≥ A New Arrangement Inequality vol R . n−1 Title Page Contents JJ J II I Go Back Close Quit Page 15 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au Proof. For m ∈ {1, 2, . . . , n − 1} let µm ∈ Sn and denote the permutation µm (i) = mi, (2.41) where all the numbers are understood to be modulo n (in particular µm (n) = n for all m). Now recall the definition of Aµ from the equation (2.35) and observe that: (2.42) n−1 X Aµ m = m=1 n−1 X n X xami xbmi+m m=1 i=1 = n X j=1 xaj = n−1 X n X xaj xbj+m m=1 j=1 n−1 X xbj+m = m=1 n X j=1 xaj X Mohammad Javaheri xbi . i6=j Then, the same argument in the proof of Prop. 2.4 implies that, for some m ∈ {1, . . . , n − 1}, we have Aµm ≤ (nσc )2 . We conclude that (2.43) R⊆ n−1 [ µm · λ(R), m=1 which in turn implies the inequality (2.40). A New Arrangement Inequality Title Page Contents JJ J II I Go Back Close Quit Page 16 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au References [1] G.H. HARDY, J.E. LITTLEWOOD AND G. PÓLYA, Inequalities, Cambridge University Press, 2nd ed. (1988). [2] O. HOSSEINI, Private Communication, Fall 2006. [3] M.H. PROTTER Springer (1997). AND C.B. Jr MORREY, A First Course in Real Analysis, [4] M.J. STEELE, The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities, Cambridge University Press (2004). A New Arrangement Inequality Mohammad Javaheri Title Page Contents JJ J II I Go Back Close Quit Page 17 of 17 J. Ineq. Pure and Appl. Math. 7(5) Art. 162, 2006 http://jipam.vu.edu.au