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Sep 12, 2014 - the paper, we will consider the Birkhoff–James orthogonality: ... Lumer [9] and Giles [7] showed that in each normed space a semi-inner ... t . These mappings are called norm derivatives. Now, we recall their useful prop-.
Aequat. Math. 89 (2015), 1189–1194 c The Author(s) 2014. This article is published  with open access at Springerlink.com 0001-9054/15/041189-6 published online September 12, 2014 DOI 10.1007/s00010-014-0293-3

Aequationes Mathematicae

Characterizations of smooth spaces by approximate orthogonalities ´ jcik Pawel Wo

Abstract. Since the monograph by Amir that appeared in 1986, a lot of attention has been given to the problem of characterizing, by means of properties of the norms, when a Banach space is indeed a Hilbert space, i.e., when the norm derives from an inner product. In this paper, similar investigations will be carried out for smooth spaces instead of inner product spaces. We consider the approximate orthogonalities in real normed spaces. We show that the relations approximate semi-orthogonality and approximate ρ+ -orthogonality are generally incomparable (unless the normed space is smooth). As a result, we give a characterization of smooth spaces in terms of those approximate orthogonalities. Mathematics Subject Classifications. Primary 46B20; 46C50; Secondary; 46C99. Keywords. Approximate orthogonality, Smoothness, Norm derivative, Semi-inner product.

1. Introduction Semi-inner products and norm derivatives, which can be naturally defined in general normed spaces over the real number field, play an essential role in describing the geometric properties of these spaces. The aim of this paper is to provide a complete overview of characterizations of smooth normed linear spaces based on norm derivatives. In a real normed space, one can define various orthogonality relations. In the paper, we will consider the Birkhoff–James orthogonality: x⊥B y :⇔ ∀λ∈R x  x + λy. An approximate Birkhoff orthogonality was given by Chmieli´ nski [3]: x⊥εB y :⇔ ∀λ∈R x2  x + λy2 + 2εx·λy. Obviously, for ε = 0 we have ⊥B = ⊥εB . We recall some of the main properties of the semi-inner product. Let (X, ·) be a normed space over K ∈ {R, C}. A mapping [·|·] : X ×X → K will be called a semi-inner product (briefly s.i.p.), if the following properties are satisfied:

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(sip1) ∀x,y,z∈X ∀α,β∈K [αx + βy|z] = α [x|z] + β [y|z]; (sip2) ∀x,y∈X ∀α∈K [x|αy] = α [x|y]; [x|x] = x2 ; (sip3) ∀x∈X (sip4) ∀x,y∈X | [x|y] |  x·y. Lumer [9] and Giles [7] showed that in each normed space a semi-inner product always exists, however, not necessarily a unique one. There exists a unique s.i.p. in X if and only if X is smooth. Now, for a fixed s.i.p. in X we define a semi-orthogonality, by x⊥s y :⇔ [y|x] = 0. We introduce ε-s-orthogonality x⊥εs y :⇔ | [y|x] |  εy·x. From this moment, throughout this paper, all normed spaces are assumed to be over reals and at least two-dimensional. Let (X, ·) be a real normed space. We define two mappings ρ+ , ρ− : X × X → R: x + ty2 − x2 x + ty − x = x · lim . ± ± 2t t t→0 t→0 These mappings are called norm derivatives. Now, we recall their useful properties (the proofs can be found in [2,6]): (nd1) ∀x,y∈X ∀α∈R ρ± (x, αx + y) = αx2 + ρ± (x, y); (nd2) ∀x,y∈X ∀α0 ρ± (αx, y) = αρ± (x, y) = ρ± (x, αy); (nd2’) ∀x,y∈X ∀α 0.

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Using (i), we get x⊥εs z, which means | [z|x] |  ε. This inequality, together (1)

with −ε  [z|x]  ρ+ (x, z) = −ε, yields ρ+ (x, z) = [z|x] .

(3)

ρ+

Applying properties of functionals and [·|·] we get     1 α α 1 (nd1) (nd2)   2  = − x + ρ+ x, z = ρ+ (x, y) = ρ+ x, − x + z β β β β 1 α 1 α (3) (sip1) = − x2 + ρ+ (x, z) = − x2 + [z|x] = β β β β  1 α = − x + z|x = [y|x] . β β   t(−x)+(1−t)y (In case ρ+(x, y) > −ε, we define ψ : [0, 1] → R by ψ(t) := ρ+ x, t(−x)+(1−t)y and show that with some to ∈ (0, 1), ψ(to ) = −ε. Then we define

α :=

−to , to (−x) + (1 − to )y

β :=

(1 − to ) to (−x) + (1 − to )y

and z := αx + βy

to obtain x⊥ερ+ y. The rest runs similarly.) We have shown that functionals ρ+ (·, ) and [ |·] are equal on unit, linearly independent vectors x, y. Now, let x, y ∈ X be arbitrary vectors. If y = γx, then ρ+ (x, y) = γx2 = [y|x]. Next, suppose that x, y are linearly independent. Then we get    x y x (sip2) y (nd2)   ρ+ (x, y) = x·yρ+ , | = [y|x] . = x·y x y y x We have shown that functionals ρ+ (·, ) and [ |·] are equal. Then we have (nd2’)

(sip1)

ρ− (x, y) = −ρ+ (x, −y) = − [−y|x] = [y|x] = ρ+ (x, y). We have proved that functionals ρ− and ρ+ are equal. Thus X is smooth. Implication (ii)⇒(vii) can be shown similarly. In the second part of the above proof one should consider (sip1) instead of (nd1). Similarly, we can consider (nd1) instead of (sip1). Next, we may interchange the role of (sip2) and (nd2) (or (nd2’)) in the above reasoning. Implications (vii)⇒(iii), (iii)⇒(i) and (iii)⇒(ii) are obvious. Therefore, we get (i)⇔(iii)⇔(vii) and (ii)⇔(iii)⇔(vii). In the same manner, one can prove (iv)⇔(vi)⇔(vii) and (v)⇔(vi)⇔(vii). 

3. Comparison of ε-B-orthogonality and ε-s-orthogonality Fix arbitrarily ε ∈ [0, 1). Chmieli´ nski proved that ⊥εs ⊂ ⊥εB (cf. [3, Proposition 3.1]). In the general case, we may get ⊥εB  ⊥εs (see [3, Example 3.1]. Moreover,

Vol. 89 (2015)

Characterizations of smooth spaces

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he proved that if X is a smooth space, then ⊥εB ⊂ ⊥εs and ⊥εB = ⊥εs (cf. [3, Proposition 3.2, Theorem 3.3]). The problem arises whether the reverse is true. Namely, whether ⊥εB ⊂ ⊥εs implies the smoothness of X. We show that this problem has an affirmative answer for real spaces. Theorem 2. Let X be a real normed space and let ε ∈ [0, 1). Then the following conditions are equivalent. (b) ⊥εB = ⊥εs (c) X is smooth. (a) ⊥εB ⊂ ⊥εs Proof. It follows from [3, Theorem 3.3]) that (c)⇒(b) holds. The implication (b)⇒(a) is obvious. We show (a)⇒(c). Assume that ⊥εB ⊂ ⊥εs . Applying (2) we have ⊥ερ+ ⊂ ⊥εB . Thus, we obtain ⊥ερ+ ⊂ ⊥εs . It follows from Theorem 1 ((i)⇔(vii)) that X is smooth.  The proof for the case ε = 0 (i.e., ⊥B ⊂ ⊥s implies the smoothness) can be found in [6, p.155, Theorem 65]. Open Access. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

References [1] Amir, D.: Characterization of Inner Product Spaces. Birkh¨ auser, Basel (1986) [2] Alsina, C., Sikorska, J., Santos Tom´ as, M.: Norm Derivatives and Characterizations of Inner Product Spaces. World Scientific, Hackensack (2009) [3] Chmieli´ nski, J.: On an ε-Birkhoff orthogonality. J. Inequal. Pure Appl. Math. 6(3), Art. 79 (2005) [4] Chmieli´ nski, J., W´ ojcik, P.: On a ρ-orthogonality. Aequationes Math. 80, 45–55 (2010) [5] Chmieli´ nski, J., W´ ojcik, P.: ρ-orthogonality and its preservation—revisited. In: Recent Developments in Functional Equation and Inequalities, Banach Center Publications, vol. 99, pp. 17–30. Institute of Mathematic, Polish Academy of Sciences, Warszawa (2013) [6] Dragomir, S.S.: Semi-Inner Products and Applications. Nova Science Publishers, Inc., Hauppauge (2004) [7] Giles, J.R.: Classes of semi-inner-product spaces. Trans. Am. Math. Soc. 129, 436– 446 (1967) [8] James, R.C.: Orthogonality in normed linear spaces. Duke Math. J. 12, 291–302 (1945) [9] Lumer, G.: Semi-inner-product spaces. Trans. Am. Math. Soc. 100, 29–43 (1961) [10] Miliˇci´ c, P.M.: Sur la G-orthogonalit´e dans les espaces norm´es. Mat. Vesnik 39, 325– 334 (1987)

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P. W´ ojcik Institute of Mathematics Pedagogical University of Cracow Podchor¸ az˙ ych 2 30-084 Krak´ ow Poland e-mail: [email protected] Received: March 13, 2014 Revised: June 23, 2014

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