EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 7, No. 2, 2014, 129-130 ISSN 1307-5543 – www.ejpam.com The Distance From a Point to a Compact Convex Set M. T. Heydari Department of Mathematics, College of Sciences, Yasouj University, Yasouj, 75914, Iran Abstract. Let K be a compact convex subset of the plane and λ ∈ C\K , then dist(λ, K) = ‖(λ− Nµ) −1‖−1, where µ is the Lebesgue measure concentrated on K and Nµ be the multiplication operator on L2(µ). 2010 Mathematics Subject Classifications: 47A12, 11F23 Key Words and Phrases: compact convex set, distance, Numerical range 1. Main Result Let K be a compact convex subset of the plane and µ be the Lebesgue measure concentrated on K , i.e., µ= m2|K . Define Nµ on L2(µ) by Nµ f = z f for each f in L2(µ). It is easy to check that Nµ is normal. Let s ∈ K and put Un = B(s, 1 n), the disc with center at s and radius 1 n , so µ(Un) 6= 0. Since µ is regular then µ(Un)<∞. Now define fn = 1 p µ(Un) χUn , so ‖ fn‖2 = 1 and ‖(Nµ − s) fn‖2 −→ 0, that is s ∈ σ(Nµ). Let s ∈ K c , then there is an open set U with µ(U) = 0 and s ∈ U . Define ψ(z) = ¨ (s− z)−1 if z ∈ U c; 0 if z ∈ U . There is r > 0 such that B(s, r) ⊂ U . If z ∈ U c then 1 |s−z| < 1 r . Therefore ‖ψ‖∞ ≤ 1 r a.e. and so ψ ∈ L∞(µ). Define the operator T on L2(µ) by T ( f ) =ψ f , then we have (s− Nµ)T = T (s− Nµ) = I Email address: heydari@yu.ac.ir http://www.ejpam.com 129 c© 2014 EJPAM All rights reserved. REFERENCES 130 a.e.. Thus s is not in σ(Nµ) and so σ(Nµ) = K . Thus for λ ∈ C\K we have (see [1, Proposition 3.9 p.198]): ‖(λ− Nµ) −1‖−1 ≤ dist(λ, K). (1) To prove the inverse inequality, we need to the following concepts which can be found in [2]. For a bounded linear operator T on a Hilbert space H , the numerical range W (T ) is the image of the unit sphere of H under the quadratic form x →< T x , x > associated with the operator. More precisely, W (T ) = {< T x , x >: x ∈H ,‖x‖= 1} Thus the numerical range of an operator, like the spectrum, is a subset of the complex plane whose geometrical properties should say something about the operator. One of the most fundamental properties of the numerical range is its convexity, stated by the famous Toeplitz-Hausdorff Theorem. Other important property of W (T ) is that its closure contains the spectrum of the operator. W (T ) is a connected set and for normal operator N , W (N) = co(σ(N)), (2) where σ(N) is the spectrum of N . Also we need to the following Theorem which can be found in [3]. Theorem 1. Let T be a bounded linear operator T on a Hilbert space H and λ outside W (T ). Then dist(λ, W (T ))≤ ‖(λ− T )−1‖−1. (3) For the operator Nµ as defined in the first paragraph, we have W (Nµ) = K and the above Theorem implies that: dist(λ, K)≤ ‖(λ− Nµ) −1‖−1. (4) Now the result follows from (1) and (4). References [1] J. B. Conway, A course in Functional Analysis, Second ed., Springer-Verlag, New York, 1985. [2] P. R. Halmos. A Hilbert space problem Book, second edition, Springer, New York, 1982. [3] F. J. Narcowich. Analytic properties of the boundary of the numerical range, Indiana Univer- sity Mathematics Journal, 29, 67-77. 1980.