Open Access
Issue
Wuhan Univ. J. Nat. Sci.
Volume 27, Number 2, April 2022
Page(s) 125 - 127
DOI https://doi.org/10.1051/wujns/2022272125
Published online 20 May 2022

© Wuhan University 2022

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

0 Introduction

Steiner symmetrizations were invented by Steiner[1] to prove the isoperimetric inequality. For well over a century Steiner symmetrizations has played a fundamental role in answering questions about isoperimetry and related geometric inequalities[2]. Steiner symmetrizations appears explicitly in the titles of numerous papers (see Refs. [3,4]) and plays a key roles in recent work such as Ref. [5].

Let Ω Mathematical equation be an open bounded subset of R n For f : Ω ( 0 , + ) Mathematical equation, we define the layering function Ω o ( f ) Mathematical equation: Ω o ( f ) = 0 + 0 V n ( [ f ] h r B ) e r 2 d r ]  d h Mathematical equationwhere r≥0 denotes by rB the closed Euclidean ball of radius r centered at the origin.

Evidently the function Ω o Mathematical equation is monotonic and continuous on functions defined on . The layering function vanishes on functions whose support with empty interior and is strictly positive on functions whose support with non-empty interior. In this paper, we mainly prove the following theorems.

Theorem 1   Suppose that f : Ω ( 0 , + ) Mathematical equation is a log-concave function, and let u be a unit vector. Then its Steiner symmetrizations S u f Mathematical equation satisfies Ω o ( S u f ) Ω o ( f ) Mathematical equation(1)The equality holds in (1) if and only if S u f = f Mathematical equation.

Theorem 2   Suppose that f : Ω ( 0 , + ) Mathematical equation is a log-concave function. Then its symmetric decreasing rearrangement f Mathematical equation satisfies Ω o ( f ) Ω o ( f ) Mathematical equation(2)The equality holds in (2) if and only if f = f Mathematical equation.

In Ref. [6], Klain proved geometric inequality which is corresponding with Theorem 1. If S(K) denotes the surface area of a compact convex set K having non-empty interior, then S ( S u K ) S ( K ) Mathematical equation , with equality if only and if K and SuK are translations. Theorem 1 is an extension of the geometric inequality by Ref. [6]. The layering function Ω o Mathematical equation is more appropriate for our purposes, because the equality case in Theorem 1 is more stringent.

1 Preliminaries

Denote n-dimensional Euclidean space by R n and let Kn denote the set of all compact convex sets in R n . Let be the domain of log-concave function f, and let sub f denote the subgraph of f. Let [ f ] h Mathematical equation denote the subgraph of f. For K K n Mathematical equation, let V n ( K ) Mathematical equation denote the n-dimensional volume of K, and let u be a unit vector. Viewing K as a family of line segments parallel to u , slide these segments along u so that each is symmetrically balanced around the hyperplane u Mathematical equation, where u Mathematical equation denotes the complementary space of u . By Cavalieri’s principle, the volume of K is unchanged by this rearrangement. The new set, called the Steiner symmetrizations of K in the direction of u , will be denoted by S u K Mathematical equation. It is not difficult to show that S u K Mathematical equation is also convex, and that S u K S u L Mathematical equation whenever K L Mathematical equation. A little more work verifies the following intuitive assertion: if you iterate Steiner symmetrizations of K through a suitable sequence of unit directions, the successive Steiner symmetrals of K will approach a Euclidean ball in the Hausdorff topology on compact (convex) subsets of R n . A detailed proof of this assertion can be found in Refs. [7, 8], for example.

In this section we present some specific elementary properties of Steiner symmetrizations, together with known facts to be used in the proof. Standard references for fundamental properties of Steiner symmetrizations are the Ref. [9]. See also Ref. [10] for general background on classical convexity theory.

A non-negative function is called a log-concave when the logarithm of the function is concave. Denote log-concave function f = e ϕ ( x ) Mathematical equationwhere ϕ ( x ) : R n R { + } Mathematical equation is convex, and x Ω Mathematical equation. It is clear that log f = φ ( x ) Mathematical equation

Denote the level sets of log-concave function: [ f ] h = { x R n : f ( x ) h } Mathematical equation

Then [ f ] h Mathematical equation is convex. By the layer representation, f ( x ) = 0 + χ [ f ] h ( x ) d h Mathematical equation(3)

For f : Ω ( 0 , + ) Mathematical equation, we define the symmetric decreasing rearrangement f Mathematical equation of f by symmetrizing its level sets, that is f ( x ) = 0 + χ [ f ] h ( x ) d h Mathematical equation

Given a compact convex set K and a unit vector u , we have S u K = K Mathematical equation (or respectively, up to translation) if and only if K is symmetric under reflection across the subspace u Mathematical equation (respectively, up to translation). In particular, S u K = K Mathematical equation will hold for every direction u (or even a dense set of directions) if and only if K is a Euclidean ball centered at the origin.

Given compact convex subsets K , L R n Mathematical equation and a , b 0 Mathematical equation, we denote a K + b L = { a x + b y | x K  and  y L } Mathematical equation

An expression of this form is called a Minkowski combination or Minkowki sum. Since K and L are convex sets, the set aK+bL is also convex. Convexity also implies that aK+bK=(a+b)K for all a,b≥0, although this does not hold for general sets.

2 Proof of the Main Theorem

The following crucial property of Steiner symmetrizations will be used in the main theorems.

Lemma 1   (see Ref. [11]) If f : Ω [ 0 , + ) Mathematical equation is a log-concave function, then there exists a sequence of successive Steiner symmetrizations { f i } i = 1 Mathematical equation of f which approximates its symmetric f Mathematical equation in the norm W 1 , 1 ( R n ) Mathematical equation, i.e., lim i 0 R n ( | f i ( x ) f ( x ) | + | f i ( x ) f ( x ) | ) d x = 0 Mathematical equation

Lemma 2   (see Ref. [11]) For two origin-centered ellipsoids E1 and E2 in R n , if for any u S n 1 Mathematical equation, the midpoints of the chords of E1 and E2 parallel to u are coplanar, then there exists r>0 such that E 1 = r E 2 Mathematical equation

Lemma 3   (see Ref. [11]) If f : Ω ( 0 , + ) Mathematical equation is a log-concave function, and [ f ] h = ( | [ f ] h | ω n ) 1 n ( B n ) Mathematical equationThen f ( x ) = f ( x ) Mathematical equation.

Lemma 4   If D is a ball centered at the origin, and if X is a line segment, parallel to the unit vector u , having one endpoint in the interior of D and the other endpoint outside D, then Steiner symmetrizations will strictly increase the slice length; that is | S u K D | > | X D | Mathematical equation(4)

Proof   Let l Mathematical equation denote the line through X. Our conditions on the endpoints of X imply that | l D | > | X D Mathematical equation. Meanwhile, S u K Mathematical equation fixes D and slides X parallel to u until it is symmetric about u Mathematical equation. If | X | < | l D | Mathematical equation, then S u K Mathematical equation will lie wholly inside D, so that | S u K D | = | X | > | X D | Mathematical equation and (4) follows. If | X | | l D | Mathematical equation, then S u K Mathematical equation will cover the slice l D Mathematical equation completely, so that | S u K D | = | l D | Mathematical equation and (4) follows once again.

Proof of Theorem 1   Let u be a unit vector. The monotonicity of Steiner symmetrizations implies that S u ( [ f ] h r B ) S u [ f ] h S u r B = S u [ f ] h r B Mathematical equationThus V n ( S u [ f ] h r B ) V n ( S u ( [ f ] h r B ) ) = V n ( [ f ] h r B ) Mathematical equationwhence Ω o ( S u [ f ] h ) Ω o ( [ f ] h ) Mathematical equation. It follows that Ω o ( S u f ) Ω o ( f ) Mathematical equation

Evidently equality holds if S u [ f ] h = [ f ] h Mathematical equation. For the converse, suppose that [ f ] h Mathematical equation has non-empty interior, and that S u [ f ] h [ f ] h Mathematical equation. Let ψ Mathematical equation denote the reflection of R n Mathematical equation across the subspace u Mathematical equation. Since ψ [ f ] h [ f ] h Mathematical equation and [ f ] h Mathematical equation has non-empty interior, there is a point x int ( [ f ] h ) Mathematical equation such that ψ Mathematical equation x [ f ] h Mathematical equation. Let D denote the ball around the origin of radius | x | Mathematical equation, and let l Mathematical equation denote the line through x and parallel to u . The slice [ f ] h l Mathematical equation meets the boundary of D at x on one side of u Mathematical equation, and has an endpoint x ± ε u Mathematical equation outside D and another endpoint x δ u Mathematical equation in the interior of D, where ε , δ > 0 Mathematical equation. It follows from (4) of Lemma 4 that | S u [ f ] h l D | > | [ f ] h l D | Mathematical equation

Moreover, this holds for parallel slices through point x' in an open neighborhood of x. After integration of parallel slice lengths to compute volumes, we obtain V n ( S u [ f ] h r B ) > V n ( [ f ] h r B ) Mathematical equationfor values of r in an open neighborhood of |x|. It follows that Ω o ( S u [ f ] h ) > Ω o ( [ f ] h ) Mathematical equation.

Hence, Ω o ( S u f ) > Ω o ( f ) Mathematical equation

So, if Ω o ( S u f ) = Ω o ( f ) Mathematical equation, then S u [ f ] h = [ f ] h Mathematical equation for any h>0. Therefore, by (3) that S u f = f Mathematical equation.

Therefore, we complete the proof of Theorem 1.

Proof of Theorem 2   Suppose f ( x ) f ( x ) Mathematical equation. By Lemma 2 and Lemma 3, there exist some direction u such that the midpoints of the chords of sub f parallel to u do not lie in any linear subspace of R n + 1 Mathematical equation parallel to e n + 1 Mathematical equation. Let f 1 = S u f Mathematical equation. From Theorem 1 it follows that Ω o ( f ) < Ω o ( f 1 ) Mathematical equation

By Lemma 1, there exists a sequence of directions { u i } , i = 1 , 2 , , Mathematical equation, such that the sequence defined by f i + 1 = S u i f i Mathematical equation converges to f Mathematical equation in the W 1 , 1 ( R n ) Mathematical equation norm. Thus, by the continuity of Ω o ( f ) Mathematical equation in the space W 1 , 1 ( R n ) Mathematical equation, we have Ω o ( f ) < Ω o ( f 1 ) Ω o ( f i ) Ω o ( f ) Mathematical equation

This implies that if Ω o ( f ) = Ω o ( f ) Mathematical equation, then f = f Mathematical equation. Using the same argument, we can get that for any log-concave function f : Ω ( 0 , + ) Mathematical equation, Ω o ( f ) Ω o ( f ) Mathematical equation. This proves the result of Theorem 2.

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