Volume 8 (2007), Issue 3, Article 99, 9 pp. ON THE B-ANGLE AND g-ANGLE IN NORMED SPACES PAVLE M. MILIČIĆ FACULTY OF M ATHEMATICS U NIVERSITY OF B ELGRADE S ERBIA . pmilicic@hotmail.com Received 15 February, 2007; accepted 16 July, 2007 Communicated by S.S. Dragomir A BSTRACT. It is known that in a strictly convex normed space, the B−orthogonality (Birkhoff orthogonality) has the property, “B−orthogonality is unique to the left“. Using this property, we introduce the definition of the so-called B−angle between two vectors, in a smooth and uniformly convex space. Also, we define the so-called g−angle between two vectors. It is demonstrated that the g−angle in a unilateral triangle, in a quasi-inner product space, is π/3. The g−angle between a side and a diagonal, in a so-called g−quandrangle, is π/4. Key words and phrases: Smooth normed spaces, quasi-inner product spaces, oriented (non-oriented) B−angle between two vectors, oriented (non-oriented) g−angle between two vectors. 2000 Mathematics Subject Classification. 46B20, 46C15, 51K05. Let X be a real smooth normed space of dimension greater than 1. It is well known that the functional kx + tyk − kxk (1) g(x, y) := kxk lim (x, y ∈ X) t→0 t always exists (see [5]). This functional is linear in the second argument and it has the following properties: (2) g(αx, y) = αg(x, y) (α ∈ R), g(x, x) = kxk2 , |g(x, y)| ≤ kxk kyk . Definition 1 ([10]). A normed space X is a quasi-inner product space (q.i.p. space) if the equality (3) kx + yk4 − kx − yk4 = 8 kxk2 g(x, y) + kyk2 g(y, x) holds for all x, y ∈ X. The space of sequences l4 is a q.i.p. space, but l1 is not a q.i.p. space. It is proved in [10] and [11] that a q.i.p. space X is very smooth, uniformly smooth, strictly convex and, in the case of Banach spaces, reflexive. The orthogonality of the vector x 6= 0 to the vector y 6= 0 in a normed space X may be defined in several ways. We mention some kinds of orthogonality and their notations: • x⊥B y ⇔ (∀λ ∈ R) kxk ≤ kx + λyk (Birkhoff orthogonality), 053-07 2 PAVLE M. M ILI ČI Ć • x⊥J y ⇔ kx − yk = kx + yk (Jamesorthogonality), x x y y • x⊥S y ⇔ kxk − kyk + kyk = kxk (Singer orthogonality). In the papers [8], [6] and [9], by using the functional g, the following orthogonal relations were introduced: x⊥g y ⇔ g(x, y) = 0, g x ⊥ y ⇔ g(x, y) + g(y, x) = 0, x ⊥ y ⇔ kxk2 g(x, y) + kyk2 g(y, x) = 0. g In [6, Theorem 2] the following assertion is proved: If X is smooth, then x⊥g y ⇔ x⊥B y. In [11] we have proved the following assertion: If X is a q.i.p. space, then x ⊥ y ⇔ x⊥J y g g and x ⊥ y ⇔ x⊥S y. If there exists an inner product h·, ·i in X, (i.p.), then it is easy to see that xρy ⇔ hx, yi = 0 holds for every ρ∈ g ⊥B , ⊥J , ⊥S , ⊥g , ⊥, ⊥ . g For more on B−orthogonality and g−orthogonality, see the papers [1], [2], [13] and [14]. Some additional properties of this orthogonality are quoted below. Denote by P[x] y the set of the best approximations of y with vectors from [x]. Theorem 1. Let X be a smooth and uniformly convex normed space, and let x, y ∈ X − {0} be fixed linearly independent vectors. The following assertions are valid. (1) There exists a unique a ∈ R such that P[x] y = ax ⇔ g(y − ax, x) = 0 ⇔ ky − axk2 = g(y − ax, y), sgn a = sgn g(y, x). (2) If z ∈ span {x, y} and y⊥B x ∧ z⊥B x, then there exists λ ∈ R such that z = λy. (3) If x⊥B y − αx ∧ x⊥B y − βx then α = β. Proof. (1) The proof can be found in [14]. (2) Since X is smooth, the equivalence y⊥B x ∧ z⊥B x ⇔ g(y, x) = 0 ∧ g(z, x) = 0 holds. Hence x = αy + βz ⇒ g(y, αx + βz) = 0 ∧ g(z, αx + βz) = 0. We get the system of equations α kyk2 + βg(y, z) = 0 αg(z, x) + β kzk2 = 0. This system has a non-trivial solution for α and β iff g(y, z)g(z, y) = kyk2 kzk2 ⇔ |g(y, z)| |g (z, y)| = kyk2 kzk2 . The last equation is not correct if |g(y, z)| < kyk kzk . So, |g(y, z)| = kyk kzk.Then by Lemma 5 of [3], there exists λ ∈ R such that z = λy. J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ O N THE B- ANGLE AND g- ANGLE IN NORMED SPACES 3 (3) In accordance with 1) we have g(x, y − αx) = 0 ∧ g(x, y − βx) = 0 ⇔ g(x, y) − α kxk2 = 0 ∧ g(x, y) − β kxk2 = 0 ⇒ α = β. From now on we assume that points 0, x, y are the vertices of the triangle (0, x, y) and points 0, x, y, x+y are the vertices of the parallelogram (0, x, y, x+y). The numbers kx − yk , kx + yk are the lengths of diagonal of this parallelogram. If kxk = kyk, we say thatthis parallelogram is a rhomb, and if x⊥ρ y, we say that this parallelogram is a ρ-rectangle, ρ ∈ ⊥B , ⊥J , ⊥S , ⊥ . g From the next theorem, we see the similarity of q.i.p. spaces to inner-product spaces ( i.p. spaces). Theorem 2. Let X be a q.i.p. space. The following assertions are valid. (1) The lengths of the diagonals in parallelogram (0, x, y, x + y) are equal if and only if the parallelogram is a g−rectangle, i.e., x ⊥ y. g (2) The diagonals of the rhomb (0, x, y, x + y) are g−orthogonal, i.e., (x − y) ⊥(x + y). g (3) The parallelogram (0, x, y, x + y) is a g−quadrangle if and only if the lengths of its diagonals are equal and the diagonals are g−orthogonal. The proof of Theorem 2 can be found in [11]. The angle between two vectors x and y in a real normed space was introduced in [7] as ∠(x, y) := arccos g(x, y) + g(y, x) 2 kxk kyk (x, y ∈ X − {0}). g So, x ⊥ y ⇔ cos ∠(x, y) = 0. In this paper we introduce several definitions of angles in a smooth normed space X. Let us begin with the following observations. By (2), it is easily seen that we have −1 ≤ (4) kxk2 g(x, y) + kyk2 g(y, x) ≤1 kxk kyk (kxk2 + kyk2 ) (x, y ∈ X − {0}). Hence we define new angle between the vectors x and y ,denoted as ∠(x, y). g Definition 2. The number kxk2 g(x, y) + kyk2 g(y, x) ∠(x, y) := arccos g kxk kyk (kxk2 + kyk2 ) is called the g−angle between the vector x and the vector y. It is very easy to see that : ∠(x, y) = ∠(y, x), g g ∠(λx, λy) = ∠(x, y), g g x ⊥ y ⇔ cos ∠(x, y) = 0. g g Theorem 3. Let X be a q.i.p. space. Then the following assertions hold. (1) The g−angle over the diameter of a circle is g−right, i.e., if c is the circle in span {x, y}, centered at x+y of radius kx−yk , then z ∈ c ⇒ (x − z) ⊥(y − z), Figure 1. 2 2 g (2) The centre of the circumscribed circumference about the g−right triangle is the centre of the g−hypotenuse. J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ 4 PAVLE M. M ILI ČI Ć Proof. (1) If z ∈ c, then z − x+y 2 = kx−yk , 2 i.e. k2z − (x + y)k = kx − yk. Hence (x − z)⊥J (y − z) ⇔ (x − z) ⊥(y − z), g because X is a q.i.p. space. (2) Let c be the circle defined by the equation z − x+y 2 , where x ⊥ y i.e. = x−y 2 g kx − yk = kx + yk. Then 0 ∈ c. z c x y o Figure 1: In accordance with B−orthogonality, now we define the oriented B−angle between vectors x and y. Firstly, we have the following observation. Let P[x] y = ax, (a = a(x, y)).If kaxk ≤ kyk for every x, y ∈ X − {0}, then X is an i.p. space (see (18.1) in [4]). So, in a normed (non trivial) space, a B−catheti may be greater than the hypotenuse. Lemma 4. Let X be a smooth and uniformly convex space and x, y ∈ X − {0} linearly independent. Then there exists a unique τ = τ (x, y) such that kyk = ky − τ xk. If X is a q.i.p. space and y is not B−orthogonal to x, then there exist unique p ∈ R such that (y − px) ⊥ px. g Proof. We consider the function f (t) = ky − txk (x, y ∈ X − {0} , t ∈ R). Since X is smooth and uniformly convex, there exists a unique a = a(x, y) ∈ R such that (5) min f (t) = f (a) = ky − axk , t∈R g(y − ax, x) = 0, sgn a = sgn g(y, x). (The vector ax is the best approximation of vector y with vectors of [x], i.e., P[x] y = ax (see [14]). On the other hand, the function f is continuous and convex on R and therefore there exists a unique τ = τ (x, y) ∈ R (see Figure 2) such that f (a) < kyk = ky − τ xk . If X is a q.i.p. space, we get p = τ2 . In this case, we have kyk = ky − 2pxk, hence k(y − px) + pxk = k(y − px) − pxk , J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ O N THE B- ANGLE AND g- ANGLE IN NORMED SPACES 5 i.e. (y − px)⊥J px ⇔ (y − px) ⊥ px. g In this case we shall write Pxg y = px. Clearly kyk = ky − 2pxk ⇒ kpxk ≤ kyk . In (5) we have: 0 < a < τ ⇔ g(y, x) > 0, τ < a < 0 ⇔ g(y, x) < 0 (Figure 2). Hence, by kyk = ky − τ xk we get kτ xk − kyk ≤ kyk, i.e. kτ xk (6) ≤ kyk . 2 f y 0 a ? t Figure 2: Assume that g(y, x) > 0. If a < τ2 , then by (5) we have kaxk ≤ kτ2xk ≤ kyk . If a ≥ τ2 , then τ − a ≤ τ2 and we have k(τ − a)xk ≤ kτ2xk ≤ kyk. Hence we get min {a, τ − a} ≤ τ2 . Of course, if g(y, x) < 0, we get min {|a| , |τ − a|} ≤ |τ2| . Thus, we conclude that kkxk sgn g(y, x) ≤ 1 kyk where k = min {|a| , |τ − a|} (k = k(x, y)). (7) −1 ≤ (x, y ∈ X − {0}), Keeping in mind (7) and the characteristics of B− orthogonality, we introduce the following definitions of the oriented B−angle between the vector x and the vector y. Definition 3. Let X be smooth and uniformly convex. The number kkxk → (8) cosB (x, y) := sgn g(y, x), kyk k = min {|a| , |τ − a|} , (x, y ∈ X − {0}) is called the B−cosine of the oriented angle between x and y. The number ∠B (− x,→ y) := arccosB (− x,→ y) is the oriented B−angle between the vector x and the vector y. Definition 4. cosB (x, y) := q |cosB (− x,→ y) cosB (− y,→ x)| sgn g(x, y) sgn g(y, x). The number ∠B (x, y) := arccosB (x, y) is called the B−angle between the vector x and the vector y. J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ 6 PAVLE M. M ILI ČI Ć If X is an i.p. space with i.p. h·, ·i , we have a = → → hx,yi . kxkkyk g(x,y) kxk2 = hx,yi kxk2 = g(y,x) kxk2 (see [14]). So, in this case cosB (x, y) = Observe that cosB (x, y) is not symmetric in x and y, so, in the triangle (0, x, y) we have 6 oriented B−angles. |g(x,y)| Since inequalities −1 ≤ kxk ≤ 1 are valid for every x, y ∈ X − {0} and y⊥B x ⇔ kyk g(y, x) = 0 in a smooth space, we may ask whether cos (− x,→ y) = g(y,x) for every x, y ∈ X. B The answer is no. Namely, in this case we have a(x, y) = X − {0}, we get kaxk = |g(y,x)| kxk kxk kyk g(y,x) kxk2 and hence, for every x, y ∈ ≤ kyk. It follows from 18.1 of [4] that X is an i.p. space. Theorem 5. Let X be a smooth and strictly convex space. Then, −−→ (1) cosB (λx, y) = cosB (− x,→ y) sgn λ (λ ∈ R − {0}), −−→ − → (2) cosB (x, λy) = cosB (x, y) sgn λ (λ ∈ R − {0}). Proof. (1) Assume that P[x] y = ax, k = {|a| , |τ − a|} , kyk = ky − τ xk , P[λx] y = bλx. Then bλ = a and min {|bλ| , |τ − bλ|} = min {|a| , |τ − a|} = k. Hence, by Definition 3, we have −−→ min {|λb| , |τ − λb|} kxk cosB (λx, y) = sgn g(y, λx) kyk kkxk = sgn λg(y, x) = cosB (− x,→ y) sgn λ. kyk (2) Let be P[x] y = ax kyk = ky − τ xk and kλyk = kλy − τλ xk. Then P[x] λy = λax and by kλyk = kλy − λτ xk we get τλ = λτ and kλ = min {|λa| , |λτ − λa|} = |λ| k. Thus −−→ kkλ xk cosB (x, λy) = sgn g(λy, x) kλyk kkxk = sgn λg(y, x) kyk = cosB (− x,→ y) sgn λ. Theorem 6. Let X be smooth, x, y ∈ X − {0} linearly independent, ky − xk = kyk. Then ∠B (x, y) = ∠B (−x, y − x), (Figure 3). y o ? ? x Figure 3: J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ O N THE B- ANGLE AND g- ANGLE IN NORMED SPACES 7 Proof. In a smooth space X (see [12]), for x, y ∈ X, we have kxk (kxk − kx − yk) ≤ g(x, y) ≤ kxk (kx + yk − kxk). (9) Since ky − xk = kyk , we get g(y, x) > 0 and g(y − x, −x) > 0. Let P[x] y = ax and P[x] (y − x) = b. Then: a > 0, b > 0 (see [14]), g(y − ax, x) = 0 and g(y − x − bx, x) = 0 ⇔ g(y − (1 + b)x, x) = 0. By virtue of 2) in Theorem 1, we get 1 + b = a such that P[x] (y − x) = (a − 1)x. From this and Definition 3, we have kkxk −−−−−−→ sgn g(y − x, −x) cosB (−x, y − x) = ky − xk min {a, 1 − a} kxk = kyk − → = cosB (x, y). We now assume that X is a s.i.p. space. Analogous to Definition 3 and Definition 4, in a q.i.p. space, we will introduce a new definition of an oriented g−angle and the corresponding non oriented g−angle. Definition 5. Let x 6= 0, y ∈ X and p = τ 2 (see Lemma 4). Then kpxk cosg (− x,→ y) := sgn(kxk2 g(x, y) + kyk2 g(y, x)). kyk − → − → The number ∠g (x, y) := arccosg (x, y) is the oriented g−angle between vector x and vector y. We observe that, for all λ 6= 0, y − px ⊥ px ⇒ λy − λpx ⊥ λpx, g i.e., Pxg y =a⇒ g Pλx λy (10) g = ax. Hence we have −−−→ cosg (λx, λy) = cosg (− x,→ y) sgn λ (λ 6= 0). Definition 6. q −−→ cosg (x, y) := cosg (x, y) cosg (− y,→ x) sgn(kxk2 g(x, y) + kyk2 g(y, x)). The number ∠g (x, y) := arccosg (x, y) is the non-oriented g−angle between x and y. Clearly, in a q.i.p. space we have cosg (x, y) = cosg (y, x). If X is an i.p. space with i.p. h·, ·i we have (y − px) ⊥ px ⇔ ky − pxk2 g(y − px, px) + kpxk2 g(px, y − px) = 0 g ⇔ (ky − pxk2 + kpxk2 ) hx, y − pxi = 0 hx, yi ⇔ p= kxk2 |hx, yi| ⇒ kpxk = kxk kpxk hx, yi 2 2 ⇒ cosg (− x,→ y) = . 2 sgn((kxk + kyk ) hx, yi) = kxk kyk kyk Thus, Definition 5 and Definition 6 are correct. J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ 8 PAVLE M. M ILI ČI Ć Theorem 7. Let X be a q.i.p. space and kxk = kyk = kx − yk, i.e., let triangle (0, x, y) be equilateral. Then π ∠g (− x,→ y) = ∠g (x, y) = ∠g (y, x) = . 3 Proof. At first, from equations kxk = kyk = ky − xk and inequalities (9) we get inequalities 0 < g(x, y) and 0 < g(y, x). By this sgn(kxk2 g(x, y) + kyk2 g(y, x)) = 1. Let c be the circle centred at x2 with diameter kxk, (see Figure 4). Then y2 , x+y ∈ c. Ac2 Figure 4: x−y cording to 1), Theorem 3, we have (x − y2 ) ⊥ y2 and x+y . That is, we have Pxg y = x2 and 2 ⊥ 2 g g P g x = y . By Definition 5 we get cos (− x,→ y) = cos (y, x) = 1 . Hence, by Definition 6, we have y g 2 g ∠g (x, y) = π3 . 2 Theorem 8. Let (0, x, y, x + y) be a g−quadrangle, i.e. let kxk = kyk ∧ x ⊥ y. Then ∠g (x, x + g y) = π4 , i.e., the non-oriented g−angle between a diagonal and a side is π4 . Figure 5: Proof. We observe that in a q.i.p. space sgn(kxk2 g(x, y) + kyk2 g(y, x)) = sgn(kx + yk − kx − yk) and that k2x + yk − kxk ≥ k2xk − kyk − kyk = 0. Now consider Figure 5. Since Pxg (x + y) = x, we have −−−−−→ cosg (x, x + y) = kxk kxk sgn(k2x + yk − kyk) = . kx + yk kx + yk J. Inequal. Pure and Appl. Math., 8(3) (2007), Art. 99, 9 pp. http://jipam.vu.edu.au/ O N THE B- ANGLE AND g- ANGLE IN NORMED SPACES 9 Let s be the crossing point of the diagonal [0, x + y] and the diagonal [x, y]. Then, by Theorem g 3, Px+y x = s. It follows, by Definition 5, that ksk −−−−−→ cosg (x + y, x) = sgn(ks + xk − ks − xk) kxk kx + yk sgn(k2xk − kxk) = 2 kxk kx + yk = . 2 kxk So, by Definition 6, we have q −−−−−→ −−−−−→ cosg (x, x + y) = cosg (x, x + y) cosg (x + y, x) sgn(k2x + yk − kyk) r √ 1 2 = = . 2 2 Hence ∠g (x, x + y) = π4 . R EFERENCES [1] J. ALONSO AND C. BENITEZ, Orthogonality in normed linear spaces, Part I, Extracta Mathematicae, 3(1) (1988), 1–15. [2] J. ALONSO AND C. 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