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Strictly convex space : Strong orthogonality and Conjugate diameters

Debmalya Sain, Kallol Paul, Kanhaiya Jha

Abstract

In a normed linear space X an element x is said to be orthogonal to another element y in the sense of Birkhoff-James, written as $ x \perp_{B}y, $ iff $ \| x \| \leq \| x + λy \| $ for all scalars $ λ.$ We prove that a normed linear space X is strictly convex iff for any two elements x, y of the unit sphere $ S_X$, $ x \perp_{B}y $ implies $ \| x + λy \| > 1~ \forall~ λ\neq 0. $ We apply this result to find a necessary and sufficient condition for a Hamel basis to be a strongly orthonormal Hamel basis in the sense of Birkhoff-James in a finite dimensional real strictly convex space X. Applying the result we give an estimation for lower bounds of $ \| tx+(1-t)y\|, t \in [0,1] $ and $ \| y + λx \|, ~\forall ~λ$ for all elements $ x,y \in S_X $ with $ x \perp_B y. $ We find a necessary and sufficient condition for the existence of conjugate diameters through the points $ e_1,e_2 \in ~S_X $ in a real strictly convex space of dimension 2. The concept of generalized conjuagte diameters is then developed for a real strictly convex smooth space of finite dimension.

Strictly convex space : Strong orthogonality and Conjugate diameters

Abstract

In a normed linear space X an element x is said to be orthogonal to another element y in the sense of Birkhoff-James, written as iff for all scalars We prove that a normed linear space X is strictly convex iff for any two elements x, y of the unit sphere , implies We apply this result to find a necessary and sufficient condition for a Hamel basis to be a strongly orthonormal Hamel basis in the sense of Birkhoff-James in a finite dimensional real strictly convex space X. Applying the result we give an estimation for lower bounds of and for all elements with We find a necessary and sufficient condition for the existence of conjugate diameters through the points in a real strictly convex space of dimension 2. The concept of generalized conjuagte diameters is then developed for a real strictly convex smooth space of finite dimension.

Paper Structure

This paper contains 5 sections, 14 theorems, 15 equations.

Key Result

Theorem 2.1

Suppose X is a real normed linear space. If for $x, y \in X - \{0\}$, $x \perp_{B} y$ implies $x \perp_{SB}y$ then X is strictly convex.

Theorems & Definitions (23)

  • Theorem 2.1
  • Theorem 2.2
  • Corollary 2.3
  • Theorem 2.4
  • Theorem 2.5
  • Theorem 2.6
  • Remark 2.7
  • Remark 2.8
  • Theorem 2.9
  • Remark 2.10
  • ...and 13 more