©2022 Ada Academica https://adac.eeEur. J. Math. Anal. 2 (2022) 2doi: 10.28924/ada/ma.2.2 On Geometric Constants for Discrete Morrey Spaces Adam Adam, Hendra Gunawan∗ Analysis and Geometry Group, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Bandung 40132, Indonesia adam_adam@students.itb.ac.id, hgunawan@math.itb.ac.id ∗Correspondence: hgunawan@math.itb.ac.id Abstract. In this paper we prove that the n-th Von Neumann-Jordan constant and the n-th Jamesconstant for discrete Morrey spaces `pq where 1 ≤ p < q < ∞ are both equal to n. This resulttells us that the discrete Morrey spaces are not uniformly non-`1, and hence they are not uniformly n-convex. 1. Introduction Let n ≥ 2 be a non-negative integer and (X, ‖ · ‖) be a Banach space. The n-th Von Neumann- Jordan constant for X [6] is defined by C (n) NJ (X) := sup {∑ ± ‖u1 ± u2 ± · · · ± un‖2X 2n−1 ∑n i=1 ‖ui‖X : ui 6= 0, i = 1, 2, . . . , n } and the n-th James constant for X [7] is defined by C (n) J (X) := sup{min ‖u1 ± u2 ± · · · ± un‖ : ui ∈ SX , i = 1, 2, . . . , n}.Note that in the definition of C(n)NJ (X), the sum ∑ ± is taken over all possible combinations of ±signs. Similarly, in the definition of C(n)J (X), the minimum is taken over all possible combinationsof ± signs, while the supremum is taken over all ui ’s in the unit sphere SX := {u ∈ X : ‖u‖ = 1}.These constants measure some sort of convexity of a Banach space.We say that X is uniformly n-convex [2] if for every ε ∈ (0, n] there exists a δ ∈ (0, 1) such thatfor every u1, u2, . . . , un ∈ SX with ‖u1 ± u2 ± · · · ± un‖ ≥ ε for all combinations of ± signs exceptfor ‖u1 + u2 + · · ·+ un‖, we have ‖u1 + u2 + · · ·+ un‖ ≤ n(1− δ). Received: 31 Aug 2021. Key words and phrases. n-th Von Neumann-Jordan constant; n-th James constant; discrete Morrey spaces; uniformlynon-`1 spaces; uniformly n-convex spaces. 1 https://adac.ee https://doi.org/10.28924/ada/ma.2.2 https://orcid.org/0000-0001-7879-8321 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 2Meanwhile, we say that X is uniformly non-`1n [1,5,8] if there exists a δ ∈ (0, 1) such that for every u1, u2, . . . , un ∈ SX we have min ‖u1 ± u2 ± · · · ± un‖ ≤ n(1− δ). Note that for n = 2, uniformly non-`1n spaces are known as uniformly nonsquare spaces, while for n = 3 they are known as uniformly non-octahedral spaces. One may verify that if X is uniformly n-convex, then X is uniformly non-`1n [2].Now a few remarks about the two constants, and their associations with the uniformly non-`1nand uniformly n-convex properties. • 1 ≤ C(n)NJ (X) ≤ n and C(n)NJ (X) = 1 if and only if X is a Hilbert space [6]. • 1 ≤ C(n)J (X) ≤ n. If dim(X) = ∞, then √n ≤ C(n)J (X) ≤ n. Moreover, if X is a Hilbertspace, then C(n)J (X) = √n [7]. • X is uniformly non-`1n if and only if C(n)NJ (X) < n [6]. • X is uniformly non-`1n if and only if C(n)J (X) < n [7]. The last two statements tell us that if C(n)NJ (X) = n or C(n)J (X) = n, then X is not uniformly non-`1nand hence not uniformly n-convex.In this paper, we shall compute the value of the two constants for discrete Morrey spaces. Let ω := N ∪ {0} and m = (m1, m2, . . . , md) ∈ Zd . Define Sm,N := {k ∈ Zd : ‖k −m‖∞ ≤ N} where N ∈ ω and ‖m‖∞ = max{|mi | : 1 ≤ i ≤ d}. Denote by |Sm,N | the cardinality of Sm,N for m ∈ Zd and N ∈ ω. Then we have |Sm,N | = (2N + 1)d .Now let 1 ≤ p ≤ q < ∞. Define `pq = `pq(Zd) to be the discrete Morrey space as introducedin [3], which consists of all sequences x : Zd → R with ‖x‖`pq := sup m∈Zd ,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |xk |p ) 1 p <∞, where x := (xk) with k ∈ Zd . One may observe that these discrete Morrey spaces are Banachspaces [3]. Note, in particular, that for p = q, we have `pq = `q .From [4] we already know that CNJ(`pq) = CJ(` p q) = 2 for 1 ≤ p < q < ∞, which impliesthat `pq are not uniformly nonsquares for those p’s and q’s. In this paper, we shall show that C (n) NJ (` p q) = C (n) J (` p q) = n for 1 ≤ p < q < ∞, which leads us to the conclusion that `pq arenot uniformly non-`1n for those p’s and q’s, which is sharper than the existing result. (If X is notuniformly non-`1n, then X is not uniformly non-`1n−1, provided that n ≥ 3.) https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 32. Main Results The value of the n-th Von Neumann-Jordan constant and the n-th James constant for discreteMorrey spaces are stated in the following theorems. To understand the idea of the proof, we firstpresent the result for n = 3. Theorem 2.1. For 1 ≤ p < q <∞, we have C(3)NJ (` p q(Zd)) = C(3)J (` p q(Zd)) = 3. Proof. To prove the theorem, it suffices for us to find x (1), x (2), x (3) ∈ `pq such that∑ ± ‖x (1) ± x (2) ± x (3)‖2`pq 22 ∑3 i=1 ‖x (i)‖`pq = 3 for the Von Neumann-Jordan constant, and min ‖x (1) ± x (2) ± x (3)‖`pq = 3 for the James constant. Case 1: d = 1. Let j ∈ Z be a nonnegative, even integer such that j > 4 q q−p − 1, or equivalently (j + 1) 1 q − 1 p < 4− 1 p . Construct x (1), x (2), x (3) ∈ `pq(Z) as follows: • x (1) = (x (1)k )k∈Z is defined by x (1) k = 1, k = 0, j, 2j, 3j, 0, otherwise; • x (2) = (x (2)k )k∈Z is defined by x (2) k =  1, k = 0, j, −1, k = 2j, 3j, 0, otherwise; • x (3) = (x (3)k )k∈Z is defined by x (3) k =  1, k = 0, 2j, −1, k = j, 3j, 0, otherwise. https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 4The three sequences are in the unit sphere of `pq(Z). Indeed, for the first sequence, we have ‖x (1)‖`pq = sup m∈Z,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k | p ) 1 p = sup m∈Z∩[0,3j ],N∈Z∩[0,3j/2] |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k | p ) 1 p = max{1, (j + 1) 1 q − 1 p 2 1 p , (2j + 1) 1 q − 1 p 3 1 p , (3j + 1) 1 q − 1 p 4 1 p }. Since (3j + 1) 1q− 1p < (2j + 1) 1q− 1p < (j + 1) 1q− 1p < 4− 1p , we get ‖x (1)‖`pq = 1. Similarly, one mayobserve that ‖x (2)‖`pq = ‖x (3)‖`pq = 1.Next, we observe that x (1) k + x (2) k + x (3) k =  3, k = 0, 1, k = j, 2j, −1, k = 3j, 0, otherwise; x (1) k + x (2) k − x (3) k =  3, k = j, 1, k = 0, 3j, −1, k = 2j, 0, otherwise; x (1) k − x (2) k + x (3) k =  3, k = 2j, 1, k = 0, 3j, −1, k = j, 0, otherwise; x (1) k − x (2) k − x (3) k =  3, k = 3j, 1, k = j, 2j, −1, k = 0, 0, otherwise.We first compute that ‖x (1)+ x (2)+ x (3)‖`pq = max{3, (j +1) 1 q − 1 p (3p+1) 1 p , (2j +1) 1 q − 1 p (3p+2) 1 p , (3j +1) 1 q − 1 p (3p+3) 1 p }. Notice that • (j + 1) 1 q − 1 p (3p + 1) 1 p < ( 3p+1p 4 ) 1 p < (3p) 1 p = 3. • (2j + 1) 1 q − 1 p (3p + 2) 1 p < (j + 1) 1 q − 1 p (3p + 2) 1 p < ( 3p+2 4 ) 1 p < 3. https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 5 • (3j + 1) 1 q − 1 p (3p + 3) 1 p < (j + 1) 1 q − 1 p (3p + 3) 1 p < ( 3p+3 4 ) 1 p < 3.Hence, we obtain ‖x (1) + x (2) + x (3)‖`pq = 3.Similarly, we have ‖x (1) ± x (2) ± x (3)‖`pq = sup m∈Z∩[0,3j ],N∈Z∩[0,3j/2] |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k ± x (2) k ± x (3) k | p ) 1 p = 3 for every combination of ± signs.Consequently, ∑± ‖x(1)±x(2)±x(3)‖2`pq 22 ∑3 i=1 ‖x(i)‖`pq = 3 and min ‖x (1) ± x (2) ± x (3)‖`pq = 3, so we come to theconclusion that C (3) NJ (` p q(Z)) = C (3) J (` p q(Z)) = 3. Case 2: d > 1. Let j ∈ Z be a nonnegative, even integer such that j > 4 q d(q−p) − 1, which isequivalent to (j + 1)d( 1 q − 1 p ) < 4− 1 p . We then construct x (1), x (2), x (3) ∈ `pq(Zd) as follows: • x (1) = (x (1)k )k∈Zd is defined by x (1) k = 1, k = (0, 0, . . . , 0), (j, 0, . . . , 0), (2j, 0, . . . , 0), (3j, 0, . . . , 0), 0, otherwise; • x (2) = (x (2)k )k∈Zd is defined by x (2) k =  1, k = (0, 0, . . . , 0), (j, 0, . . . , 0), −1, k = (2j, 0, . . . , 0), (3j, 0, . . . , 0), 0, otherwise; • x (3) = (x (3)k )k∈Zd is defined by x (3) k =  1, k = (0, 0, . . . , 0), (2j, 0, . . . , 0), −1, k = (j, 0, . . . , 0), (3j, 0, . . . , 0), 0, otherwise. As in the case where d = 1, one may observe that ‖x (1)‖`pq = sup m∈Zd ,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k | p ) 1 p = max{1, (j + 1)d( 1 q − 1 p )2 1 p , (2j + 1)d( 1 q − 1 p )3 1 p , (3j + 1)d( 1 q − 1 p )4 1 p } = 1. https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 6We also get ‖x (2)‖`pq = ‖x (3)‖`pq = 1. Moreover, through similar observation as in the 1-dimensionalcase, we have ‖x (1) ± x (2) ± x (3)‖`pq = 3for every possible combinations of ± signs. It thus follows that C (3) J (` p q(Zd)) = sup{min ‖x1 ± x2 ± x3‖`pq : x1, x2, x3 ∈ S`pq} = 3 and C (3) NJ (` p q(Zd)) = sup {∑ ± ‖x1 ± x2 ± x3‖2`pq 22 ∑3 i=1 ‖xi‖`pq : xi 6= 0, i = 1, 2, 3 } = 3. � We now state the general result for n ≥ 3. (The proof is also valid for n = 2, which amounts tothe work of [3].) Theorem 2.2. For 1 ≤ p < q <∞, we have C(n)NJ (` p q(Zd)) = C(n)J (` p q(Zd)) = n. Proof. As for n = 3, we shall consider the case where d = 1 first, and then the case where d > 1later. Case 1: d = 1. Let j ∈ Z be a nonnegative, even integer such that j > 2(n−1)( qq−p ) − 1, which isequivalent to (j + 1) 1 q − 1 p < 2− (n−1) p . We construct x (i) ∈ `pq ∈ Z for i = 1, 2, . . . , n as follows: • x (1) = (x (1)k )k∈Z is defined by x (1) k = 1, k ∈ S(1)1 , 0, otherwise, where S (1) 1 = {0, j, 2j, 3j, . . . , (2 n−1 − 1)j}; • x (i) = (x (i)k )k∈Z for 2 ≤ i ≤ n is defined by x (i) k =  1, k ∈ S(i)1 , −1, k ∈ S(i)−1, 0, otherwise, with the following rules: Write P = {0, j, 2j, . . . , (2n−1 − 1)j} as P = P (i) 1 ∪ P (i) 2 ∪ · · · ∪ P (i) 2i−1 https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 7 where P (i)1 consists of the first 2n−1 2i−1 terms of P , P (i)2 consists of the next 2n−1 2i−1 terms of P ,and so on. Then S(i)1 and S(i)−1 are given by S (i) 1 = P (i) 1 ∪ P (i) 3 ∪ · · · ∪ P (i) 2i−1−1, S (i) −1 = P (i) 2 ∪ P (i) 4 ∪ · · · ∪ P (i) 2i−1 . For example, for i = 2, x (2) = (x (2)k )k∈Z is defined by x (2) k =  1, k ∈ S(2)1 , −1, k ∈ S(2)−1 , 0, otherwise, where S (2) 1 = { 0, j, 2j, 3j, . . . , (2n−1 2 − 1 ) j } S (2) −1 = {(2n−1 2 ) j, (2n−1 2 + 1 ) j, . . . , (2n−1 − 1)j } ; Note that the largest absolute value of the terms of x (i) in the above construction will beequal to 1 for each i = 1, . . . , n. Next, since the number of possible combinations of ± signs in x (1) ± x (2) ± · · · ± x (n) is 2n−1, the above construction will give us 1 + 1 + · · · + 1 = n as thelargest absolute value of x (1)± x (2)±· · ·± x (n) for every combination of ± signs. This means that,if x (1) ± x (2) ± · · · ± x (n) = (xk)k∈Z, then max k∈Z |xk | = n.Let us now compute the norms. For x (1), we have ‖x (1)‖`pq = sup m∈Z,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k | p ) 1 p = sup m∈Z∩[0,(2n−1−1)j ],N∈Z∩[0,(2n−1−1)j/2] |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k | p ) 1 p = max{1, (j + 1) 1 q − 1 p 2 1 p , (2j + 1) 1 q − 1 p 3 1 p , . . . , ((2n−1 − 1)j + 1) 1 q − 1 p 2 n−1 p }. For each r = 1, 2, . . . , 2n−1 − 1, we have (r j + 1) 1q− 1p ≤ (j + 1) 1q− 1p and (r + 1) 1p ≤ 2 n−1p , so that (r j + 1) 1 q − 1 p (r + 1) 1 p ≤ (j + 1) 1 q − 1 p 2 n−1 p < 2− n−1 p 2 n−1 p = 1. Hence we obtain ‖x (1)‖`pq = 1. Similarly, one may verify that ‖x (2)‖`pq = ‖x (3)‖`pq = · · · = ‖x (n)‖`pq = 1. https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 8Next, we shall compute the norms of x (1)±x (2)±· · ·±x (n). Write x (1)+x (2)+ · · ·+x (n) = (xk)k∈Zwhere xk :=  a1, k = 0, a2, k = j, a3, k = 2j,... a2n−1 , k = (2n−1 − 1)j, 0, otherwise, with a1 = n and |ai | < n for i = 2, 3, . . . , (2n−1)j . Accordingly, we have ‖x (1) + x (2) + · · ·+ x (n)‖`pq = sup m∈Z,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |xk |p ) 1 p = sup m∈Z∩[0,(2n−1−1)j ],N∈Z∩[0,(2n−1−1)j/2] |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |xk |p ) 1 p =max { n, (j + 1) 1 q − 1 p (np + ap2) 1 p , (2j + 1) 1 q − 1 p (np + ap2 + a p 3) 1 p , . . . , ((2n−1 − 1)j + 1) 1 q − 1 p ( np + 2n−1∑ i=2 api ) 1 p } . Since (r j + 1) 1q− 1p ≤ (j + 1) 1q− 1p for each r = 1, 2, . . . , 2n−1 − 1, we obtain (r j + 1) 1 q − 1 p ( np + r+1∑ i=2 api ) 1 p ≤ (j + 1) 1 q − 1 p ( np + r+1∑ i=2 api ) 1 p < 2− (n−1) p ( np + r+1∑ i=2 api ) 1 p < 2− (n−1) p (np + np + · · ·+ np︸ ︷︷ ︸ r + 1 times ) 1 p = 2− (n−1) p (r + 1) 1 p (np) 1 p ≤ 2− (n−1) p 2 (n−1) p n = n. It thus follows that ‖x (1) + x (2) + · · ·+ x (n)‖`pq = n.As we have remarked earlier, the largest absolute value of x (1) ± x (2) ± · · · ± x (n) is equal to n for every combination of ± signs. Moreover, it is clear that for k /∈ {0, 2j, . . . , (2n−1 − 1)j}, the https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 9 k-th term of x (1) ± x (2) ± · · · ± x (n) is equal to 0. Hence, we obtain ‖x (1) ± x (2) ± · · · ± x (n)‖`pq = sup m∈Z,N∈ω |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k ± x (2) k ± · · · ± x (n) k | p ) 1 p = sup m∈Z∩[0,(2n−1−1)j ],N∈Z∩[0,(2n−1−1)j/2] |Sm,N | 1 q − 1 p ( ∑ k∈Sm,N |x (1)k ± x (2) k ± · · · ± x (n) k | p ) 1 p = n. Consequently, we get ∑ ± ‖x (1) ± x (2) ± · · · ± x (n)‖2`pq 2n−1 ∑n i=1 ‖xi‖`pq = 2n−1n2 2n−1n = n and min ‖x (1) ± x (2) ± · · · ± x (n)‖`pq = n,whence C (n) NJ (` p q(Z)) = C (n) J (` p q(Z)) = n. Case 2: d > 1. Here we choose j ∈ Z to be a nonnegative, even integer such that j > 2( n−1 d )( q q−p ) − 1 or, equivalently, (j + 1)d( 1 q − 1 p ) < 2− (n−1) p . Then, using the sequences x (i) = (x (i) k1 )k1∈Z ∈ ` p q(Z), i = 1, . . . , n, in the case where d = 1, we now define x (i) := (x (i)k )k∈Zd ∈ `pq(Zd) for i = 1, . . . , n, where x (i) k = x (i)k1 , k = (k1, 0, 0, . . . , 0), 0, otherwise. We shall then obtain C (n) NJ (` p q(Zd)) = C (n) J (` p q(Zd)) = n,as desired. � Corollary 2.2.1. For 1 ≤ p < q <∞, the space `pq is not uniformly non-`1n. Corollary 2.2.2. For 1 ≤ p < q <∞, the space `pq is not uniformly n-convex. Acknowledgement. The work is part of the first author’s thesis. Both authors are supported byP2MI 2021 Program of Bandung Institute of Technology. https://doi.org/10.28924/ada/ma.2.2 Eur. J. Math. Anal. 10.28924/ada/ma.2.2 10References [1] B. Beauzamy, Introduction to Banach Spaces and Their Geometry, 2nd Ed., North Holland, Amsterdam- NewYork-Oxford, 1985. https://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt= PASCAL82X0319279.[2] H. Gunawan, D.I. Hakim, A.S. 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