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Dynamics of the semigroup of contractive automorphisms of Banach spaces

Félix Cabello Sánchez  and  Javier Cabello Sánchez Departamento de Matemáticas and IMUEx, Universidad de Extremadura
Avenida de Elvas, 06071-Badajoz, España.
Orcid Id: 0000–0003–0924–5189, 0000–0003–2687–6193
[email protected], [email protected]
Abstract.

Motivated by some recent twaddles on Mazur rotations problem, we study the “dynamics” of the semigroup of contractive automorphisms of Banach spaces, mostly in finite-dimensional spaces. We focus on the metric aspects of the “action” of such semigroups, the size of the orbits and semitransitivity properties, and their impact on the geometry of the unit ball of the underlying space.

Key words and phrases:
Mazur rotations problem; contractive automorphism; semitransitivity; Banach space; Hilbert space
2020 Mathematics Subject Classification. 46B03, 46B04, 46C15
Supported in part by PID2019-103961GB-C21 and Junta de Extremadura, Project IB20038.

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1. Introduction

This paper studies the “dynamics” of the semigroup of contractive automorphisms of finite dimensional normed spaces. Our interest in this subject, and even the topic itself, stems from Mazur rotations problem: Is every separable Banach space whose group of linear isometries acts transitively on the unit sphere isometric (or isomorphic) to a Hilbert space? (Cf. [1, remarque à la section 5 du chapitre XI].)

We are not going to go into this issue, firstly because there is a very recent survey paper on the subject and secondly because we believe that our study is (moderately) interesting in its own right. In any case, we recommend the reader to have a look at the papers [3, 8, 4, 7].

We consider only real spaces; most of the time we work in finite dimensions, often in the plane. In particular pn\ell_{p}^{n} denotes n\mathbb{R}^{n} with the norm xp=(i=1n|xi|p)1/p\|x\|_{p}=\big{(}\sum_{i=1}^{n}|x_{i}|^{p}\big{)}^{1/p} for 1p<1\leqslant p<\infty, while x=maxin|xi|\|x\|_{\infty}=\max_{i\leqslant n}|x_{i}|, and eie_{i} denotes the corresponding unit vector of n\mathbb{R}^{n}.

Given a (real) normed space XX, its (closed unit) ball is the set B={xX:x1}B=\{x\in X:\|x\|\leqslant 1\} and S={xX:x=1}S=\{x\in X:\|x\|=1\} is the unit sphere. We write L(X)L(X) for the space of all (bounded, linear) endomorphisms of XX with the operator norm T=supx1T(x)\|T\|=\sup_{\|x\|\leqslant 1}\|T(x)\|. An operator TT on XX is an automorphism if there is LL(X)L\in L(X) such that TL=LT=𝐈XTL=LT={\bf I}_{X}. An operator TT is contractive, or a contraction, if T1\|T\|\leqslant 1. This means that TBBTB\subset B.

Clearly, the contractive automorphisms of XX form a semigroup of L(X)L(X) that we will denote by Aut1(X)\operatorname{Aut}_{1}(X). We are interested in the “action” of Aut1(X)\operatorname{Aut}_{1}(X) on the unit sphere of XX, especially in the size of the “orbits” O(x)={yS:y=Tx for some TAut1(X)}O(x)=\{y\in S:y=Tx\text{ for some }T\in\operatorname{Aut}_{1}(X)\} for xSx\in S. Note that if y<x\|y\|<\|x\| then there is always TAut1(X)T\in\operatorname{Aut}_{1}(X) such that y=Txy=Tx, so considering only points of SS is fine. Life without local convexity can be much harder, see [12] for examples of rigid quasi Banach spaces.

The space 12\ell_{1}^{2} already provides a quite interesting example (see Figure 1 and the comments following Theorem 2.3):

  • O(x)=Sx=±eiO(x)=S\iff x=\pm e_{i} for some i=1,2i=1,2.

  • O(x)=S\{±e1,±e2}O(x)=S\backslash\{\pm e_{1},\pm e_{2}\} for any other xSx\in S.

  • For each xSx\in S the set O(x)O(x) is a neighbourhood of xx relative to SS.

2. Semitransitivity

A Banach space XX is said to be semitransitive (ST) if for every x,ySx,y\in S there is TAut1(X)T\in\operatorname{Aut}_{1}(X) such that y=Txy=Tx. Hilbert spaces are ST: actually they are even transitive, that is, TT can be taken to be isometric, that is, T=T1=1\|T\|=\|T^{-1}\|=1. This quickly follows from the 2D case and the existence of orthogonal complements. Any other example in sight? Not yet. To understand what the issue is really about we need to introduce a couple of definitions.

Refer to caption
Figure 1. The matrix 12(1 01 2)\frac{1}{2}\binom{1\;0}{1\;2} implements a contractive automorphism of 12\ell_{1}^{2} that sends (12,12)(\frac{1}{2},\frac{1}{2}) to (14,34)(\frac{1}{4},\frac{3}{4}). If we fix e1e_{1} and let e2e_{2} slip towards e1e_{1} we can send (14,34)(\frac{1}{4},\frac{3}{4}) back to (12,12)(\frac{1}{2},\frac{1}{2}), using 13(3 10 2)\frac{1}{3}\binom{3\;1}{0\;2}.

Let XX be a finite dimensional (FD) space (or even a Banach space isomorphic to a Hilbert space) with unit ball BB and unit sphere SS. An ellipsoid in XX is the closed unit ball (centered at the origin) of an Euclidean norm equivalent to the original norm of XX. Ellipsoids are invariably assumed to be centered at the origin. If X=nX=\mathbb{R}^{n} with some norm, then a disc (centered at xx) is a set of the form D={yn:yx2r}D=\{y\in\mathbb{R}^{n}:\|y-x\|_{2}\leqslant r\}, where r>0r>0 and 2\|\cdot\|_{2} is the usual Euclidean norm.

We say that an ellipsoid EE is inner at xSx\in S if EBE\subset B and xEx\in E. We say that EE is outer at xx if BEB\subset E and xEx\in\partial E. The following duality argument will be used over and over without further mention: if xXx\in X and xXx^{*}\in X^{*} are such that x=x=x,x=1\|x\|=\|x^{*}\|=\langle x^{*},x\rangle=1, then EE is inner (respectively, outer) at xx if and only if the dual ellipsoid E={yX:|y,y|1yE}E^{*}=\{y^{*}\in X^{*}:|\langle y^{*},y\rangle|\leqslant 1\;\forall\,y\in E\} is outer (respectively, inner) at xx^{*}.

Those (nonzero) points where the norm is (Gâteaux) differentiable are called smooth. This happens to xx if and only if there is exactly one functional xx^{*} such that x=x\|x\|=\|x^{*}\| and x,x=xx\langle x^{*},x\rangle=\|x\|\|x^{*}\|. Such an xx^{*} is called a support functional, necessarily agrees with 12dx2\tfrac{1}{2}d_{x}\|\cdot\|^{2}, and is often denoted by J(x)J(x). If the norm is differentiable off the origin the space XX itself is called smooth and the mapping J:XXJ:X\longrightarrow X^{*} sending each point into its unique support functional (and 0 to 0) is called the duality map.

It is clear that points that admit inner ellipsoids are smooth, while those that have outer ellipsoids are extreme. The following remark is obvious, yet very useful:

Lemma 2.1.

Let XX be a finite dimensional space and assume yO(x)y\in O(x).

  • If xx is a smooth point of SS then so is yy.

  • If yy is an extreme point of BB then so is xx.

  • If xx admits an inner ellipsoid, then so yy does.

  • If yy admits an outer ellipsoid, then so xx does.

The following result is almost obvious, just using compactness:

Lemma 2.2.

In a finite dimensional space, the set of points admitting inner ellipsoids is dense in the unit sphere and the set of points admitting outer ellipsoids is nonempty.

See [6, Lemma 3.4] for an extension to infinite dimensional spaces. The following characterization is in turn a particularization of [6, Proposition 3.5].

Theorem 2.3.

For a finite dimensional space XX the following are equivalent:

  • (a)

    XX is semitransitive.

  • (b)

    Every point of the unit sphere admits inner and outer ellipsoids.

  • (c)

    XX^{*} is semitransitive.

Proof.

The implication (a)\implies(b) is clear after Lemma 2.1 and 2.2. The converse (b)\implies(a) follows from the fact that if ySy\in S admits an inner ellipsoid and xSx\in S admits an outer ellipsoid, then yO(x)y\in O(x). Indeed, let EE be inner at yy and FF outer at xx. Since all Hilbert spaces of the same dimension are isometric there is LL(X)L\in L(X) which maps FF onto EE. Clearly LxELx\in\partial E and by transitivity there is an isometry RR of the norm associated to EE such that R(Lx)=yR(Lx)=y. The composition T=RLT=RL is a contraction since TBBTB\subset B.

On the other hand, by the remark preceding Lemma 2.1, XX satisfies (b) if and only if XX^{*} does, hence (b) is equivalent to (c) too. ∎

The above criterion shows that for n2n\geqslant 2 and p2p\neq 2 the spaces pn\ell_{p}^{n} are not ST (if p<2p<2 the unit vectors do not have inner ellipsoids; if p>2p>2 they do not have outer ellipsoids). The paper [6] contains examples of ST norms on the plane which were constructed with slightly different purposes, using sledgehammers to crack nuts. Example 2.7 below is much simpler; Example 2.8 exhibits a rather unexpected behaviour.

Let us call ySy\in S flat if there exists some homogeneous hyperplane HXH\subset X such that (y+H)S(y+H)\cap S is a neighbourhood of yy relative to SS —note that H=kerJ(y)H=\ker J(y). If yy is flat, then yO(x)y\in O(x) for all xSx\in S. Indeed, let xx^{*} be a norm-one functional such that x,x=1\langle x^{*},x\rangle=1, put Hx=kerxH_{x}=\ker x^{*}, and let L:HxHL:H_{x}\longrightarrow H be any linear isomorphism. If ε>0\varepsilon>0 is sufficiently small, the automorphism TT given by T(cx+u)=cy+εL(u)T(cx+u)=cy+\varepsilon L(u), where c,uHxc\in\mathbb{R},u\in H_{x}, is contractive —and sends xx to yy, of course.

Call xSx\in S pilgrim if O(x)O(x) is dense in SS. It is clear from Lemma 2.2 that every FD normed space has pilgrim points. As for the “size” of the set of pilgrim points it is nearly obvious that XX is strictly convex and smooth, then the set of pilgrim points is dense in the unit sphere of XX. See why? On the other hand, we have just seen that the orbit of any flat point consists precisely of the set of flat points of SS and this means that in any polyhedral space the set of pilgrim points is dense in the sphere. The same is true for spaces whose unit ball is the the intersection of two ellipsoids.

Refer to caption
Figure 2. Intersection of two ellipsoids

It is also clear that a FD space whose set of pilgrim points is dense in the unit sphere must must have some kind of regularity: if we mix a polyhedral norm with some strictly convex norm, we loose the density of the set of pilgrim points —think of the norm in 2\mathbb{R}^{2} that agrees with 2\|\cdot\|_{2} in the first quadrant and with 1\|\cdot\|_{1} in the second one.

The following example shows that some natural conjectures that one might come up with are false:

Example 2.4.

A uniformly convex and smooth normed space whose sphere is not the orbit of any point. Pick 1<p<2<q<1<p<2<q<\infty and define a norm on 2\mathbb{R}^{2} letting

x={xp if x1x20,xq if x1x20.\|x\|=\begin{cases}\|x\|_{p}&\text{ if }x_{1}x_{2}\geqslant 0,\\ \|x\|_{q}&\text{ if }x_{1}x_{2}\leqslant 0.\end{cases}

All points on the sphere admit both inner and outer ellipsoids, except ±ei\pm e_{i} which have neither inner ellipsoids (pp is too small) nor outer (qq is too large). The inexorable conclusion is that if x±eix\neq\pm e_{i}, then neither xx can be in the orbit of ±ei\pm e_{i} nor ±ei\pm e_{i} in the orbit of xx.

Refer to caption
Figure 3. The construction of Lemma 2.6

The notion of curvature (of a plane curve) is very useful both for understanding the geometry of the norm and for checking the ST character of norms in the plane. As far as this paper is concerned, everything we need to know about curves can be found in the lovely book by the Bucks [5, §8.4]. Let II be an interval and Φ:In\Phi:I\subset\mathbb{R}\longrightarrow\mathbb{R}^{n} be a rectifiable curve parameterized by arc length. If x=Φ(t)x=\Phi(t), and Φ\Phi is twice differentiable at tt, then the curvature of Φ\Phi at xx is defined as ϰ(Φ,x)=Φ′′(t)2.\varkappa(\Phi,x)=\|\Phi^{\prime\prime}(t)\|_{2}. We are aware that there is a small problem here if xx is a double (or multiple) point of Φ\Phi since ϰ(Φ,x)\varkappa(\Phi,x) depends not only on xx, but also on tt. We will not insist on this point. Note also that this notion of curvature refers to the usual Euclidean norm, although other approaches are possible (see [9, §4.3]).

If Φ\Phi is the graph of a function f:If:I\longrightarrow\mathbb{R}, in the sense that Φ(t)=(t,f(t))\Phi(t)=(t,f(t)) for tIt\in I, then

(1) ϰ(Φ,x)=|f′′(t)|(1+f(t)2)3/2,\varkappa(\Phi,x)=\frac{|f^{\prime\prime}(t)|}{\big{(}1+f^{\prime}(t)^{2}\big{)}^{3/2}},

where x=(t,f(t))x=(t,f(t)), and we no longer assume Φ\Phi parameterized by its arc length (see Bucks’ [5, Exercise 5 on p. 416]). As a consequence:

Lemma 2.5.

Let A,BA,B be convex domains in 2\mathbb{R}^{2} with (piecewise) smooth boundaries A,B\partial A,\partial B. If A\partial A and B\partial B are tangent at pp (with the same inward-pointing normal) and κ(A,p)<κ(B,p)\kappa(\partial A,p)<\kappa(\partial B,p) then there is a neighbourhood UU of pp such that AUBUA\cap U\subset B\cap U.

Proof.

In view of (1) this is a restatement of the fact that if ff is a real-valued function of a single variable with f(t)=f(t)=0f(t)=f^{\prime}(t)=0 and f′′(t)>0f^{\prime\prime}(t)>0, then ff is non-negative in some neighbourhood of tt. ∎

Since a circle of radius rr has curvature r1r^{-1} at all points the Lemma implies that if SS has finite curvature at xx, then xx belongs to a disc DD which is contained in BB. What is more interesting than it may seem:

Lemma 2.6.

Let BB be the unit ball of a norm on 2\mathbb{R}^{2} and let xBx\in\partial B. Then xx admits an inner ellipsoid (ellipse) if and only if there is a disc DD such that xDx\in D and DBD\subset B.

Dually, xx admits an outer ellipsoid if and only if there is a disc DD such that xDx\in\partial D and BDB\subset D.

Sketch of the proof.

We only prove the first part, being the “only if” part clear: if EE is an ellipse of semi-axes aba\leqslant b and xEx\in\partial E, then EE contains the disc of radius a2/ba^{2}/b centered at the inner normal and passing through xx.

To prove the converse it suffices to check the following: Let h0h\geqslant 0 and 0<r<10<r<1. Let D=D((1r,h);r)D=D((1-r,h);r) and p=(1,h)p=(1,h). Then there is an ellipsoid that passes through pp and is contained in the convex hull of DD-D\cap D.

Indeed, the equation of any ellipse with center the origin is

f(x,y)==defAx2+By2+Cxy=1.f(x,y)\stackrel{{\scriptstyle{\rm def}}}{{==}}Ax^{2}+By^{2}+Cxy=1.

If besides the tangent line at p=(1,h)p=(1,h) is “vertical” we have

{A+Bh2+Ch=12Bh+C=0{B=C/(2h)A=112Ch\begin{cases}A+Bh^{2}+Ch=1\\ 2Bh+C=0\end{cases}\quad\implies\quad\begin{cases}B=-C/(2h)\\ A=1-\frac{1}{2}Ch\end{cases}

since f(x,y)=(2Ax+Cy,2By+Cx)\nabla f(x,y)=(2Ax+Cy,2By+Cx).

On the other hand (see Buck’s [5, Exercise 6 on p. 416]), the curvature of a plane curve satisfying the equation f(x,y)=1f(x,y)=1 is given by the formula

ϰ=|fxxfy22fxyfxfy+fx2fyy|(fx2+fy2)3/2.\varkappa=\frac{\left|f_{xx}f_{y}^{2}-2f_{xy}f_{x}f_{y}+f_{x}^{2}f_{yy}\right|}{\left(f_{x}^{2}+f_{y}^{2}\right)^{3/2}}.

Let us compute the curvature at pp. Clearly, we have fy(p)=0,fyy=C/(2h),fx(p)=2f_{y}(p)=0,f_{yy}=-C/(2h),f_{x}(p)=2, so

ϰ(p)=|fx2fyy||fx3|=|C|4h.\varkappa(p)=\frac{\left|f_{x}^{2}f_{yy}\right|}{\left|f_{x}^{3}\right|}=\frac{|C|}{4h}.

Hence taking |C||C| large enough does the trick. ∎

Refer to caption
Figure 4. The construction of Example 2.7, which is also the basis of Example 2.8
Example 2.7.

Semitransitive spaces splicing arcs of circles.

Here is a simple example of ST norm on 2\mathbb{R}^{2}. Fix any R>1R>1 and let CC be the circle of center a=(0,R1)a=(0,R-1) and radius RR. Let b=(b1,b2)b=(b_{1},b_{2}) be any point of CC such that b1>0b_{1}>0 and b2<0b_{2}<0. Let cc be the intersection of the horizontal axis and the line joining aa and bb. Let CC^{\prime} be the circle of center cc and radius R=cb2R^{\prime}=\|c-b\|_{2}. Note that CC^{\prime} passes through bb and that R<RR^{\prime}<R. Let dd be the rightmost point in the insersection of CC^{\prime} and the horizontal axis. Let Γ\Gamma be the curve (in the fourth quadrant) that agrees with CC from (0,1)(0,-1) to bb and with CC^{\prime} from bb to dd.

It is clear that there is exactly one norm \|\cdot\| on the plane such that (x,y)=1(|x|,|y|)Γ\|(x,y)\|=1\iff(|x|,-|y|)\in\Gamma and also that \|\cdot\| is ST since every point in the unit sphere satisfies the criteria provided by Lemma 2.6.

Let XX be a FD space and assume that the orbit of xx is SS. Put

O(x,K)={yS:y=Tx for some TAut1(X) such that T1K}O(x,K)=\big{\{}y\in S:y=Tx\text{ for some }T\in\operatorname{Aut}_{1}(X)\text{ such that }\|T^{-1}\|\leqslant K\big{\}}

Then S=n=1O(x,n)S=\bigcup_{n=1}^{\infty}O(x,n). An obvious “category” argument and the fact that the sets {TAut1(X):T1K}\{T\in\operatorname{Aut}_{1}(X):\|T^{-1}\|\leqslant K\} are compact in L(X)L(X) show that for every open set USU\subset S there is KK such that UO(x,K)U\cap O(x,K) has nonempty interior in SS.

This fosters the idea that ST spaces could be boundedly semitransitive (BST) in the following sense: there is a constant KK such that, for every x,ySx,y\in S there is TAut1(X)T\in\operatorname{Aut}_{1}(X) such that y=Txy=Tx and T1K\|T^{-1}\|\leqslant K.

Unfortunately this is not the case in general:

Example 2.8.

A (2-dimensional) semitransitive space which is not boundedly semitransitive.

Recall that given a locally integrable function k:I[0,)k:I\longrightarrow[0,\infty), where II is an interval containing the origin, the formulæ

x(s)\displaystyle x(s) =x0+0scos(0tk(u)𝑑u)𝑑t,\displaystyle=x_{0}+\int_{0}^{s}\cos\left(\int_{0}^{t}k(u)\,du\right)dt,
y(s)\displaystyle y(s) =y0+0ssin(0tk(u)𝑑u)𝑑t\displaystyle=y_{0}+\int_{0}^{s}\sin\left(\int_{0}^{t}k(u)\,du\right)dt

define a C1C^{1} plane curve Γ(s)=(x(s),y(s))\Gamma(s)=(x(s),y(s)) such that

  • Γ(s)2=1\|\Gamma^{\prime}(s)\|_{2}=1 for all sIs\in I.

  • If ss is a Lebesgue point of kk, then the curvature of Γ\Gamma at ss is k(s)k(s). See [10, Definition 7.1.19]

Refer to caption
Figure 5. A portion of the “graph” of the curvature function kk of Example 2.8

Let us first define k:[π2,1](0,1]k:[-\frac{\pi}{2},1]\longrightarrow(0,1] as follows (see Figure 5):

  • For each nn\in\mathbb{N} the value of kk on [2n,2n+2n2][2^{-n},2^{-n}+2^{-n-2}] is 2n2^{-n}.

  • Otherwise k(s)=1k(s)=1.

Then we consider the curve defined as above, with x0=1,y0=0x_{0}=-1,y_{0}=0, and call it Γ\Gamma. Now look at the endpoint p=(x(1),y(1))p=(x(1),y(1)) of Γ\Gamma corresponding to s=1s=1: a moment’s reflection suffices to realize that:

  • The initial point of Γ\Gamma is (1,0)(-1,0).

  • 0<x(1)<1,1<y(1)<00<x(1)<1,-1<y(1)<0 since (x(0),y(0))=(0,1)(x(0),y(0))=(0,-1), both x(s)x^{\prime}(s) and y(s)y^{\prime}(s) are strictly positive for 0<s<10<s<1 and ss parametrizes Γ\Gamma naturally.

  • The (semi) tangent line to Γ\Gamma at pp has strictly positive slope and, moreover, if (a,0)(a,0) is the only point of that line that lies on the “horizontal” axis, then a>1a>1.

It follows (see Figure 4) that there exist a pair of circles C,CC,C^{\prime} such that CC is tangent to LL at pp, CC^{\prime} is tangent to the line x=1x=1 at (1,0)(1,0) and CC and CC^{\prime} are mutually tangent at some other intermediate point, say qq.

Let SS^{-} be the curve that “agrees” with Γ\Gamma between (1,0)(-1,0) and pp, with CC between pp and qq and with CC^{\prime} between qq and (1,0)(1,0). It is clear that there is exactly a norm, say \|\cdot\|, on 2\mathbb{R}^{2} whose unit sphere SS contains SS^{-}.

We want to see that the resulting space is ST. Observe that SS^{-} is a (“smooth”) countable union of arcs of circles: going from right to left we find first the arcs CC^{\prime} and CC, then an arc of circle of radius 1 and lenght 12123=323\frac{1}{2}-\frac{1}{2^{3}}=\frac{3}{2^{3}}, then an arc of circle of radius 22 and lenght 18\frac{1}{8}, then another arc of circle of radius 1 and lenght 324\frac{3}{2^{4}}, then an arc of circle of radius 44 and lenght 116\frac{1}{16} and so on. These arcs accumulate at the point (0,1)(0,-1) in the obvious sense. Finally we have an arc of radius 1, centered at the origin, between (1,0)(-1,0) and (0,1)(0,-1).

Now it should be clear that all points of SS^{-} admit inner discs and also that all of them, except (0,1)(0,-1), have outer discs. But actually (0,1)(0,-1) admits an outer disc whose radius is not very large. Indeed for every nn the (Lebesgue) measure of the set {t[0,2n]:k(t)=1}\{t\in[0,2^{-n}]:k(t)=1\} is at least 342n\frac{3}{4}2^{-n}. Therefore, if we put K(s)=0sk(t)𝑑tK(s)=\int_{0}^{s}k(t)dt, then 35sK(s)s\frac{3}{5}s\leqslant K(s)\leqslant s for 0s10\leqslant s\leqslant 1. Since

x(s)=0scosK(t)𝑑tandy(s)=1+0ssinK(t)𝑑tx(s)=\int_{0}^{s}\cos K(t)\,dt\quad\text{and}\quad y(s)=-1+\int_{0}^{s}\sin K(t)\,dt

it is clear that Γ(s)\Gamma(s) cannot leave the disc of radius 53\frac{5}{3} centered at (0,1)(0,-1) for any 0s10\leqslant s\leqslant 1, which is enough.

The resulting normed plane, whose sphere is SS, cannot be BST because the inverse of a contractive automorphism sending a point with small curvature to a point of large curvature must have large norm, see why? If you still do not see it clearly, take a look at the upcoming Proposition 3.1.

3. Bounded semitransitivity

We now study BST spaces. It turns out that these admit a quite elegant geometric characterization. Before going any further, recall that the modulus of uniform convexity of a Banach space XX is the function δX:(0,2][0,1]\delta_{X}:(0,2]\longrightarrow[0,1] defined by

(2) δX(ε)=inf{1x+y2:xyε,x,y1}.\delta_{X}(\varepsilon)=\inf\left\{1-\left\|\frac{x+y}{2}\right\|:\|x-y\|\geqslant\varepsilon,\|x\|,\|y\|\leqslant 1\right\}.

Note that 112x+y1-\frac{1}{2}\left\|x+y\right\| represents the distance between the midpoint of xx and yy and its closest multiple in the unit sphere (the larger the MUC the more convex the ball is) and that one can replace all inequalities by equalities in (2) without altering the value of δX(ε)\delta_{X}(\varepsilon). We say that δX\delta_{X} is of power type 2 if δX(ε)cε2\delta_{X}(\varepsilon)\geqslant c\varepsilon^{2} for some c>0c>0 and all 0<ε20<\varepsilon\leqslant 2.

Hilbert spaces have “optimal” MUC given by

δ2(ε)=11(ε2)2ε28.\delta_{2}(\varepsilon)=1-\sqrt{1-\left(\frac{\varepsilon}{2}\right)^{2}}\geqslant\frac{\varepsilon^{2}}{8}.

Condition (d) below is stated also in terms of the modulus of uniform smoothness (MUS, a measure of the “flatness” of the unit ball which we do not even define here). It will suffice to recall here that XX has MUS of power type 2 if and only if XX^{*} has MUC of power type 2, so that (d) is equivalent to: Both XX and XX^{*} have MUC of power type 22. We refer the reader to [11, § 1.e] for the basics on uniform convexity and smoothness.

Proposition 3.1.

For a finite dimensional space XX the following are equivalent:

  • (a)

    XX is boundedly semitransitive.

  • (b)

    XX^{*} is boundedly semitransitive.

  • (c)

    There is a constant λ\lambda such that every xSx\in S admits an inner ellipsoid EE and an outer ellipsoid FF such that FλEF\subset\lambda E.

  • (d)

    XX has moduli of uniform convexity and smoothness of power type 22.

The remainder of the section is devoted to proving this result. Let’s get the boring parts out of the way now. The equivalence (a)\iff(b) can be proved as in Theorem 4.2 since taking Banach space adjoints preserves automorphisms, inverses, and the operator norm.

(a)\implies(c). Assume XX is BST with constant β\beta. Fix ySy\in S and let EE and FF be inner and outer ellipsoids at yy, respectively, which exists by ST and Theorem 4.2. Clearly FμEF\subset\mu E for sufficiently large μ\mu. Pick xSx\in S and then T,LAut1(X)T,L\in\operatorname{Aut}_{1}(X) such that x=Ty,y=Lxx=Ty,y=Lx, with T1,L1β\|T^{-1}\|,\|L^{-1}\|\leqslant\beta. Then E=TEE^{\prime}=TE is inner at xx, F=L1FF^{\prime}=L^{-1}F is outer at xx, and Fβ2μEF^{\prime}\subset\beta^{2}\mu E^{\prime}.

The implication (c)\implies(a) can be proved as the implication (b)\implies(a) of Theorem 4.2, just following the track of the norms.

We now adress (c)\implies(d). The proof uses the so-called modulus of strong extremality, defined for xSx\in S and ε(0,1]\varepsilon\in(0,1] as:

ΔX(x,ε)=inf{1ρ:there is yX such that yε and ρx±y1}.\Delta_{X}(x,\varepsilon)=\inf\{1-\rho:\text{there is $y\in X$ such that }\|y\|\geqslant\varepsilon\text{ and }\|\rho x\pm y\|\leqslant 1\}.

It is not hard to see that δX(2ε)=infx=1ΔX(x,ε)\delta_{X}(2\varepsilon)=\inf_{\|x\|=1}\Delta_{X}(x,\varepsilon) —only the easiest part “\geqslant” will be used here.

Assume xSx\in S admits an outer ellipsoid FF with FαBF\subset\alpha B. This implies that if |||\cdot| denotes the Euclidean norm corresponding to FF, then ||α|||\cdot|\leqslant\|\cdot\|\leqslant\alpha|\cdot|. An easy computation based on the fact that SS and F\partial F are tangent at xx shows that

ΔX(x,ε)Δ2(x,ε/α)=11(εα)2ε22α2,\Delta_{X}(x,\varepsilon)\geqslant\Delta_{2}(x,\varepsilon/\alpha)=1-\sqrt{1-\left(\frac{\varepsilon}{\alpha}\right)^{2}}\geqslant\frac{\varepsilon^{2}}{2\alpha^{2}},

where, as the reader may guess, Δ2\Delta_{2} stands for the modulus of strong extremality of the Euclidean norms. Thus, (c) implies that δX(ε)cε2\delta_{X}(\varepsilon)\geqslant c\varepsilon^{2} where cc depends only on λ\lambda. The fact that XX has MUS of power type 2 follows from the fact that a finite dimensional space satisfies (c) if and only if its dual does since a Banach space has MUS of power type 2 if and only if its dual has MUC of power type 2.

It only remains to check that (d)\implies(c), which amounts to see that if XX has MUC of power type 2, then there is a constant α>0\alpha>0 such that every xSx\in S admits an outer ellipsoid FF such that FαBF\subset\alpha B.

The proof is based on the following, surely well-known, observation:

Lemma 3.2.

Let XX be a normed space with modulus of uniform convexity δ\delta. Let xSx\in S and assume that HH is a supporting hyperplane at xx. Assume zBz\in B and write z=tx+uz=tx+u, with tt\in\mathbb{R} and uHu\in H. Then 1tδ(u)1-t\geqslant\delta(\|u\|) and so t2+δ(u)1t^{2}+\delta(\|u\|)\leqslant 1.

Proof.

One can assume that XX has dimension 2 and also that z=1\|z\|=1. Since tx+utx=|t|\|tx+u\|\geqslant\|tx\|=|t| we have |t|1|t|\leqslant 1 and so u2\|u\|\leqslant 2. In particular δ(u)\delta(\|u\|) is correctly defined and since δ(ε)1\delta(\varepsilon)\leqslant 1 for all ε2\varepsilon\leqslant 2 we may assume 0<t<10<t<1.

We encourage the reader to draw their own monikers. Let uu^{-} be the only negative multiple of uu such that tx+u=1\|tx+u^{-}\|=1. We claim that even 1tδ(u+u)1-t\geqslant\delta(\|u\|+\|u^{-}\|), which is clear just applying the definition of MUC to ε=u+u\varepsilon=\|u\|+\|u^{-}\| which equals the distance between x=tx+ux^{\prime}=tx+u and y=tx+uy^{\prime}=tx+u^{-}, taking into account that the midpoint of xx^{\prime} and yy^{\prime} lies in the line {tx+su:s}\{tx+su:s\in\mathbb{R}\} and that tx+su|t|\|tx+su\|\geqslant|t| for all ss. In particular 112x+y1t1-\frac{1}{2}\|x^{\prime}+y^{\prime}\|\leqslant 1-t. Nice, isn’t it? ∎

To complete the proof, let |||\cdot| be an Euclidean norm on XX such that ||C|||\cdot|\leqslant\|\cdot\|\leqslant C|\cdot| for some constant CC, for instance one could take the norm associated to the ellipsoid of minimal volume containing BB. We define a two-parameter family of Euclidean norms as follows: Given xSx\in S, let xx^{*} be the (or a fixed) support functional of BB at xx and set Hx=kerxH_{x}=\ker x^{*}, so that each zXz\in X can be written as z=tx+uz=tx+u, with tt\in\mathbb{R} and uHxu\in H_{x} — of course t=x,zt=\langle x^{*},z\rangle and u=ztxu=z-tx. Then, for each b>0b>0 we set

(3) |z|bx=t2+b2|u|2andEbx={zX:|z|bx1}.|z|_{b}^{x}=\sqrt{t^{2}+b^{2}|u|^{2}}\qquad\text{and}\qquad E_{b}^{x}=\{z\in X:|z|_{b}^{x}\leqslant 1\}.

Note that a<bEbxEaxa<b\implies E_{b}^{x}\subset E_{a}^{x} for fixed xSx\in S and that for each fixed b>0b>0, the norms ||bx|\cdot|_{b}^{x} are all uniformly equivalent and uniformly equivalent to \|\cdot\|. Hence it suffices to see that there exists b>0b>0 such that BEbxB\subset E_{b}^{x} for all xSx\in S. But if we assume δX(ε)(cε)2\delta_{X}(\varepsilon)\geqslant(c\varepsilon)^{2} for some c>0c>0 it is clear from the Lemma that if xSx\in S and uHxu\in H_{x} are such that z=tx+uz=tx+u belongs to BB, then

t2+c2|u|2t2+c2u2t2+δ(u)1.t^{2}+c^{2}|u|^{2}\leqslant t^{2}+c^{2}\|u\|^{2}\leqslant t^{2}+\delta(\|u\|)\leqslant 1.

It follows that ||cx|\cdot|^{x}_{c}\leqslant\|\cdot\| for all xx and since |x|cx=1|x|^{x}_{c}=1 we have that the ellipsoid EcxE^{x}_{c} is outer at xx, which is enough.

Remark 3.3.

The proof actually shows that a Banach space isomorphic to a Hilbert space has MUC of power type 2 if and only if the points of its unit sphere admit uniformly bounded outer ellipsoids and that it has MUS of power type 2 if and only if the points of the unit sphere admit inner ellipsoids whose intersection contains a neighbourhood of the origin.

4. Uniform micro-semitransitivity

Definition 4.1.

A Banach space XX (or its norm) is said to be uniformly micro-semitransitive (UMST) if for every ε>0\varepsilon>0 there exists δ>0\delta>0 such that whenever x,ySx,y\in S satisfy xy<δ\|x-y\|<\delta there is TAut1(X)T\in\operatorname{Aut}_{1}(X) such that y=Txy=Tx with T𝐈X<ε\|T-{\bf I}_{X}\|<\varepsilon.

It is clear that UMST \implies BST \implies ST, see [7, Remark 2.4] or [4, Lemma 2.3].

The interest in UMST stems from the facts that all 1-complemented FD subspaces of a separable and transitive Banach space are UMST ([6, Theorem 3.2]) and that the only previously known UMST norms were the Euclidean norms, which made it conceivable that UMST would be a characteristic property of Hilbert spaces.

Unfortunately this is not the case: in this Section we prove that every C2C^{2} norm on the plane whose dual is also C2C^{2} turns out to be UMST.

The remainder of this section is devoted to proving the following.

Theorem 4.2.

Every C2C^{2} norm on the plane whose unit sphere has strictly positive curvature at every point is uniformly micro-semitransitive.

The following “uniform” version of Lemma 2.5 is the key ingredient of the proof of Theorem 4.2. It will be applied in due course to compare the unit sphere of the given norm with its image under a slightly-changing automorphism.

Lemma 4.3.

Let Φ,Γ:2\Phi,\Gamma:\mathbb{R}\longrightarrow\mathbb{R}^{2} be twice differentiable curves parameterized by arc length, K>0K>0 and δ2/K\delta\leqslant\sqrt{2}/K. Assume that:

  • (a)

    Φ\Phi and Γ\Gamma are tangent at s=0:s=0:\, Φ(0)=Γ(0)=p\Phi(0)=\Gamma(0)=p and Φ(0)=Γ(0)\Phi^{\prime}(0)=\Gamma^{\prime}(0).

  • (b)

    If q=Φ(s),r=Γ(t)q=\Phi(s),r=\Gamma(t) for |s|,|t|δ|s|,|t|\leqslant\delta, then 0<ϰ(Γ,r)<ϰ(Φ,q)K0<\varkappa(\Gamma,r)<\varkappa(\Phi,q)\leq K.

Then Φ[δ,δ]\Phi[-\delta,\delta] and Γ[δ,δ]\Gamma[-\delta,\delta] meet only at p:p:\, {Φ(s):|s|δ}{Γ(t):|t|δ}={p}\{\Phi(s):|s|\leqslant\delta\}\cap\{\Gamma(t):|t|\leqslant\delta\}=\{p\}.

Proof.

We may assume that pp is the origin and Φ(0)=Γ(0)=e1\Phi^{\prime}(0)=\Gamma^{\prime}(0)=e_{1}. Since ϰ(Φ,q)=Φ′′(s)2\varkappa(\Phi,q)=\|\Phi^{\prime\prime}(s)\|_{2} for q=Φ(s)q=\Phi(s). Applying the Mean Value Theorem to Φ\Phi^{\prime} (and then the Implicit Function Theorem) we see that if sup|s|δΦ′′(s)2K\sup_{|s|\leqslant\delta}\|\Phi^{\prime\prime}(s)\|_{2}\leqslant K then there exist δα<0<βδ-\delta\leqslant\alpha<0<\beta\leqslant\delta and a function f:[α,β]f:[\alpha,\beta]\longrightarrow\mathbb{R} such that the set Φ[δ,δ]\Phi[-\delta,\delta] agrees with the graph of ff. For the same reason, taking (b) into account, we have that Γ[δ,δ]\Gamma[-\delta,\delta] agrees with the graph of certain function g:[α~,β~]g:[\tilde{\alpha},\tilde{\beta}]\longrightarrow\mathbb{R}. We have f(0)=g(0)=f(0)=g(0)=0f(0)=g(0)=f^{\prime}(0)=g^{\prime}(0)=0. We may and do assume that f′′f^{\prime\prime} and g′′g^{\prime\prime} are strictly positive in their respective domains. Let us check that Φ(0,δ]Γ(0,δ]=\Phi(0,\delta]\cap\Gamma(0,\delta]=\varnothing. Otherwise there is x>0x>0 in the common domain of ff and gg such that f(x)=g(x)f(x)=g(x). Put z=inf{x>0:f(x)=g(x)}z=\inf\{x>0:f(x)=g(x)\}: note that f(z)=g(z)f(z)=g(z) and that z>0z>0 since f(x)>g(x)f(x)>g(x) for x>0x>0 sufficiently small. Clearly g(z)f(z)g^{\prime}(z)\geqslant f^{\prime}(z) and this implies that there is 0<v<z0<v<z such that f′′(v)=g′′(v)f^{\prime\prime}(v)=g^{\prime\prime}(v). Put u=inf{v>0:f′′(v)=g′′(v)}u=\inf\{v>0:f^{\prime\prime}(v)=g^{\prime\prime}(v)\}. Then u>0u>0 and f′′(u)=g′′(u)f^{\prime\prime}(u)=g^{\prime\prime}(u) and f(v)g(v)0f^{\prime}(v)\geqslant g^{\prime}(v)\geqslant 0 for 0vu0\leqslant v\leqslant u. Hence letting q=(u,f(u)),r=(u,g(u))q=(u,f(u)),r=(u,g(u)), and applying (1), we obtain

ϰ(Φ,q)=|f′′(u)|(1+f(u)2)3/2|g′′(u)|(1+g(u)2)3/2=ϰ(Γ,r),\varkappa(\Phi,q)=\frac{|f^{\prime\prime}(u)|}{\big{(}1+f^{\prime}(u)^{2}\big{)}^{3/2}}\leqslant\frac{|g^{\prime\prime}(u)|}{\big{(}1+g^{\prime}(u)^{2}\big{)}^{3/2}}=\varkappa(\Gamma,r),

a contradiction. ∎

Refer to caption
Figure 6. Functions of the proof of Lemma 4.3

Let \|\cdot\| be a (smooth) norm on the plane and let SS be its unit sphere with the standard (counterclockwise) orientation. If Σ:2\Sigma:\mathbb{R}\longrightarrow\mathbb{R}^{2} is a regular parametrization of SS preserving the orientation and a=Σ(t)a=\Sigma(t), put a=Σ(t)/Σ(t),a^{\perp}={\Sigma^{\prime}(t)}\big{/}{\|\Sigma^{\prime}(t)\|}, that is, aa^{\perp} the only point in SHaS\cap H_{a} such that a,a,aa,a^{\perp},-a is positively oriented.

It is almost obvious that if a,ba,b are close in SS and TAut1(X)T\in\operatorname{Aut}_{1}(X) is close to the identity and maps aa to bb, then Ta=λbTa^{\perp}=\lambda b^{\perp}, with λ(0,1]\lambda\in(0,1]. From now on we denote by LεabL^{ab}_{\varepsilon} the only linear endomorphism of XX that maps aa to bb and aa^{\perp} to (1ε)b(1-\varepsilon)b^{\perp}, with the subscript omitted if ε=0\varepsilon=0. This is actually an automorphism unless ε=1\varepsilon=1 and, quite clearly,

Lεab=LεbbLab=LabLεaa.L^{ab}_{\varepsilon}=L^{bb}_{\varepsilon}L^{ab}=L^{ab}L^{aa}_{\varepsilon}.
Lemma 4.4.

Let XX be a 2-dimensional space with smooth norm.

  • (a)

    Lεaa=1\|L^{aa}_{\varepsilon}\|=1 for all aSa\in S and all 0ε10\leqslant\varepsilon\leqslant 1.

  • (b)

    If XX is strictly convex and Lεaa(x)=x\|L^{aa}_{\varepsilon}(x)\|=\|x\| for some 0<ε<10<\varepsilon<1, then xx is proportional to aa.

  • (c)

    Lεaa𝐈X2ε\|L^{aa}_{\varepsilon}-{\bf I}_{X}\|\leqslant 2\varepsilon for all aSa\in S and all ε>0\varepsilon>0.

  • (d)

    If the norm of XX is C2C^{2}, then there exists a constant CC (depending on XX) such that Lεab𝐈XC(ab+ε)\|L^{ab}_{\varepsilon}-{\bf I}_{X}\|\leqslant C\big{(}\|a-b\|+\varepsilon\big{)} for all a,bSa,b\in S and all ε>0\varepsilon>0.

Proof.

(a) and (b) are clear. To prove (c) note that if x=sa+tax=sa+ta^{\perp}, then s=Ja,xs=\langle Ja,x\rangle since the coordinate s()s(\cdot) is completely determined by s(a)=1,s(a)=0s(a)=1,s(a^{\perp})=0. In particular |s|x|s|\leqslant\|x\|. However t()t(\cdot) does not agree with J(a)J(a^{\perp}) unless XX is a Radon plane (one in which Birkhoff orthogonality is symmetric, do not worry if you have forgotten or never knew what this means; let us just add that while the spheres of Figure 8 are Radon, that of Figure 7 is not). Nevertheless, |t|2x|t|\leqslant 2\|x\|. In particular,

xLεaa(x)=sa+tasat(1ε))a=tεa2εx.\|x-L^{aa}_{\varepsilon}(x)\|=\|sa+ta^{\perp}-sa-t(1-\varepsilon))a^{\perp}\|=\|t\varepsilon a^{\perp}\|\leqslant 2\varepsilon\|x\|.

(d) Clearly, the map aSaSa\in S\longmapsto a^{\perp}\in S is Lipschitz. For x=sa+tax=sa+ta^{\perp} we have

Lεab(x)x=sb+(1ε)tbsa+ta|s|ba+|t|ε+|t|ba,\displaystyle\|L^{ab}_{\varepsilon}(x)-x\|=\|sb+(1-\varepsilon)tb^{\perp}-sa+ta^{\perp}\|\leqslant|s|\|b-a\|+|t|\varepsilon+|t|\|b^{\perp}-a^{\perp}\|,

which is enough: |s|x|s|\leqslant\|x\| and |t|2x|t|\leqslant 2\|x\|. ∎

Note that if XX is assumed to be merely smooth, the proof yields Lεab𝐈X0\|L^{ab}_{\varepsilon}-{\bf I}_{X}\|\longrightarrow 0 as max(ab,ε)0\max\big{(}\|a-b\|,\varepsilon\big{)}\longrightarrow 0.

We now analyze the variation of the curvature under certain linear transformations. The following result applies in particular when the curve is a sphere and T=LεaaT=L^{aa}_{\varepsilon}.

Lemma 4.5.

Let a,va,v be linearly independent in 2\mathbb{R}^{2} and 0<ε<10<\varepsilon<1 and let TT be the only linear endomorphism such that T(a)=a,T(v)=(1ε)vT(a)=a,T(v)=(1-\varepsilon)v. Assume Γ\Gamma is a regular curve such that Γ(0)=a,Γ(0)=v/v2\Gamma(0)=a,\Gamma^{\prime}(0)=v/\|v\|_{2} and let Γ~=TΓ\tilde{\Gamma}=T\,\Gamma. Then Γ~(0)=a\tilde{\Gamma}(0)=a and ϰ(Γ~,a)=(1ε)2ϰ(Γ,a).\varkappa(\tilde{\Gamma},a)=(1-\varepsilon)^{-2}\varkappa({\Gamma},a).

Proof.

After applying a suitable linear transformation (a rotation followed by scaling or viceversa) we may assume a=e2=(0,1)a=e_{2}=(0,1) and v=(1,m)v=(1,m) in which case TT is implemented by the matrix

(1ε0εm1)\left(\begin{array}[]{cc}1-\varepsilon&0\\ -\varepsilon m&1\end{array}\right)

By the Implicit Function Theorem we can describe Γ\Gamma near (0,1)(0,1) as the graph of a certain funtion ff defined near 0 and we then have

ϰ(Γ,a)=|f′′(0)|(1+m2)3/2\varkappa({\Gamma},a)=\frac{|f^{\prime\prime}(0)|}{\big{(}1+m^{2}\big{)}^{3/2}}

see (1). Now, using the argument of ff as a parameter we have

Γ~(x)=((1ε)x,εmx+f(x)),Γ~(x)=(1ε,εm+f(x)),Γ~′′(x)=(0,f′′(x)).\tilde{\Gamma}(x)=\big{(}(1-\varepsilon)x,-\varepsilon mx+f(x)\big{)},\quad\tilde{\Gamma}^{\prime}(x)=\big{(}1-\varepsilon,-\varepsilon m+f^{\prime}(x)\big{)},\quad\tilde{\Gamma}^{\prime\prime}(x)=\big{(}0,f^{\prime\prime}(x)\big{)}.

One the other hand (see [5, Equation 8-34 on p. 410]), since f(0)=mf^{\prime}(0)=m we have

(4) ϰ(Γ~,a)\displaystyle\varkappa(\tilde{\Gamma},a) =Γ~22Γ~′′22Γ~,Γ~′′2Γ~23|x=0\displaystyle=\frac{\sqrt{\|\tilde{\Gamma}^{\prime}\|_{2}^{2}\|\tilde{\Gamma}^{\prime\prime}\|_{2}^{2}-\langle\tilde{\Gamma}^{\prime},\tilde{\Gamma}^{\prime\prime}\rangle^{2}}}{\|\tilde{\Gamma}^{\prime}\|_{2}^{3}}\Bigg{|}_{x=0}
=(1ε)2(1+m2)f′′(0)2(1ε)2m2f′′(0)2(1ε)3(1+m2)3/2\displaystyle=\frac{\sqrt{(1-\varepsilon)^{2}(1+m^{2})f^{\prime\prime}(0)^{2}-(1-\varepsilon)^{2}m^{2}f^{\prime\prime}(0)^{2}}}{(1-\varepsilon)^{3}(1+m^{2})^{3/2}}
(5) =(1ε)2f′′(0)2(1ε)3(1+m2)3/2.\displaystyle=\frac{\sqrt{(1-\varepsilon)^{2}f^{\prime\prime}(0)^{2}}}{(1-\varepsilon)^{3}(1+m^{2})^{3/2}}.\qed

The core of the proof of Theorem 4.2 is the following piece:

Lemma 4.6.

Under the hypotheses of Theorem 4.2 for every ε>0\varepsilon>0 there exists δ>0\delta>0 such that LεabL^{ab}_{\varepsilon} is contractive for all a,bSa,b\in S such that ab<δ\|a-b\|<\delta.

Proof.

If we assume the contrary then there exists ε>0\varepsilon>0 such that for every nn\in\mathbb{N} there exist an,bnSa_{n},b_{n}\in S with anbn<1/n\|a_{n}-b_{n}\|<1/n and xnSx_{n}\in S such that Lεanbn(xn)>1\|L^{a_{n}b_{n}}_{\varepsilon}(x_{n})\|>1.

Passing to subsequences without mercy we may assume that (an),(bn),(xn)(a_{n}),(b_{n}),(x_{n}) are convergent. Put a=limnan=limnbna=\lim_{n}a_{n}=\lim_{n}b_{n} and x=limnxnx=\lim_{n}x_{n} and let us show that x=±ax=\pm a. One has Lεanbn(xn)Lεaa(x)L^{a_{n}b_{n}}_{\varepsilon}(x_{n})\longrightarrow L^{aa}_{\varepsilon}(x) and so x=Lεaa(x)=1\|x\|=\|L^{aa}_{\varepsilon}(x)\|=1 and Lemma 4.4(b) shows that x=±ax=\pm a. Now since LεabL^{ab}_{\varepsilon} does not vary if we replace aa by a-a and bb by b-b we can even assume that a=b=xa=b=x. Hence, it suffices to check the following:

()(\natural)For each ε(0,12)\varepsilon\in(0,\frac{1}{2}) there exists δ>0\delta>0 (depending on ε\varepsilon and XX) such that if ab<δ\|a-b\|<\delta then the only common point of SS and Lεab[S]L^{ab}_{\varepsilon}[S] in the ball of radius δ\delta and centre bb is bb itself.

With an eye in Lemma 4.3 let KK be the supremum of the set

(6) {ϰ(Lεab[S],x):a,bS,ε[0,12],xLεab[S]}.\big{\{}\varkappa\big{(}L^{ab}_{\varepsilon}[S],x\big{)}:a,b\in S,\varepsilon\in[0,\tfrac{1}{2}],x\in L^{ab}_{\varepsilon}[S]\big{\}}.

Since Lεab[S]L^{ab}_{\varepsilon}[S] and SS are tangent at bb the following statement implies ()(\natural) through Lemma 4.3:

()(\sharp)For each ε(0,12)\varepsilon\in(0,\frac{1}{2}) there exists δ>0\delta>0 such that if ab<δ\|a-b\|<\delta then ϰ(Lεab[S],x)>ϰ(S,y)\varkappa(L^{ab}_{\varepsilon}[S],x)>\varkappa(S,y), provided xLεab[S],ySx\in L^{ab}_{\varepsilon}[S],y\in S and xb,yb<δ\|x-b\|,\|y-b\|<\delta.

We first observe that there is a constant MM such that x/MLεab(x)Mx{\|x\|}/{M}\leqslant\|L^{ab}_{\varepsilon}(x)\|\leqslant M\|x\| for all xXx\in X and this implies that for each ε>0\varepsilon^{\prime}>0 there is δ1=δ1(ε)\delta_{1}=\delta_{1}(\varepsilon^{\prime}) such that if a,bS,ε[0,12]a,b\in S,\varepsilon\in[0,\frac{1}{2}] and x,yLεab[S]x,y\in L^{ab}_{\varepsilon}[S], then

xyδ1|ϰ(Lεab[S],x)ϰ(Lεab[S],y)|<ε.\|x-y\|\leqslant\delta_{1}\quad\implies\quad\Big{|}\varkappa(L^{ab}_{\varepsilon}[S],x)-\varkappa(L^{ab}_{\varepsilon}[S],y)\Big{|}<\varepsilon^{\prime}.

In particular, if xLεab[S]x\in L^{ab}_{\varepsilon}[S] and xb<δ1\|x-b\|<\delta_{1}, then |ϰ(Lεab[S],x)ϰ(Lεab[S],b)|<ε.\big{|}\varkappa(L^{ab}_{\varepsilon}[S],x)-\varkappa(L^{ab}_{\varepsilon}[S],b)\big{|}<\varepsilon^{\prime}. In a similar vein, Lemma 4.4(d) implies that for each ε>0\varepsilon^{\prime}>0 there is δ2(ε)\delta_{2}(\varepsilon^{\prime}) such that

ab<δ2|ϰ(Lab[S],b)ϰ(S,a)|<ε.\|a-b\|<\delta_{2}\quad\implies\quad\Big{|}\varkappa(L^{ab}[S],b)-\varkappa(S,a)\Big{|}<\varepsilon^{\prime}.

In particular, if abmin(δ1(ε),δ2(ε))\|a-b\|\leqslant\min(\delta_{1}(\varepsilon^{\prime}),\delta_{2}(\varepsilon^{\prime})), then

|ϰ(Lab[S],b)ϰ(S,b)||ϰ(Lab[S],b)ϰ(S,a)|+|ϰ(S,a)ϰ(S,b)|2ε,\Big{|}\varkappa(L^{ab}[S],b)-\varkappa(S,b)\Big{|}\leqslant\Big{|}\varkappa(L^{ab}[S],b)-\varkappa(S,a)\Big{|}+\Big{|}\varkappa(S,a)-\varkappa(S,b)\Big{|}\leqslant 2\varepsilon^{\prime},

hence,

(7) ϰ(Lab[S],b)ϰ(S,b)2ε.\varkappa(L^{ab}[S],b)\geqslant\varkappa(S,b)-2\varepsilon^{\prime}.

Now, we fix ε[0,12]\varepsilon\in[0,\frac{1}{2}] and take ε<14kε\varepsilon^{\prime}<\frac{1}{4}k\varepsilon, where k>0k>0 is the infimum of the set in (6).

Assume ab<δ\|a-b\|<\delta, with δmin(δ1(ε),δ2(ε))\delta\leqslant\min\big{(}\delta_{1}(\varepsilon^{\prime}),\delta_{2}(\varepsilon^{\prime})\big{)} and let us compare first ϰ(S,b)\varkappa(S,b) and ϰ(Lεab[S],b)\varkappa(L^{ab}_{\varepsilon}[S],b). According to Lemma 4.5

ϰ(Lεab[S],b)=ϰ(Lab[S],b)(1ε)2.\varkappa(L^{ab}_{\varepsilon}[S],b)=\frac{\varkappa(L^{ab}[S],b)}{(1-\varepsilon)^{2}}.

Dividing by (1ε)2(1-\varepsilon)^{2} in (7) and taking into account that (1ε)2=1+2ε+3ε2+(1-\varepsilon)^{-2}=1+2\varepsilon+3\varepsilon^{2}+\cdots and that 2ε12\varepsilon\leqslant 1 we get

ϰ(Lab[S],b)(1ε)2ϰ(S,b)2ε(1ε)2(1+2ε)(ϰ(S,b)2ε)\displaystyle\frac{\varkappa(L^{ab}[S],b)}{(1-\varepsilon)^{2}}\geqslant\frac{\varkappa(S,b)-2\varepsilon^{\prime}}{(1-\varepsilon)^{2}}\geqslant(1+2\varepsilon)(\varkappa(S,b)-2\varepsilon^{\prime})
ϰ(S,b)2ε+2ε(k2ε)ϰ(S,b)+kε.\displaystyle\geqslant\varkappa(S,b)-2\varepsilon^{\prime}+2\varepsilon(k-2\varepsilon^{\prime})\geqslant\varkappa(S,b)+k\varepsilon.

Hence ϰ(Lεab[S],b)ϰ(S,b)+kε\varkappa(L^{ab}_{\varepsilon}[S],b)\geqslant\varkappa(S,b)+k\varepsilon provided ab<δ\|a-b\|<\delta. Therefore, if xLεab[S]x\in L^{ab}_{\varepsilon}[S] has xb<δ\|x-b\|<\delta and ySy\in S has yb<δ\|y-b\|<\delta we obtain

ϰ(Lεab[S],x)ϰ(S,y)+12kε.\varkappa(L^{ab}_{\varepsilon}[S],x)\geqslant\varkappa(S,y)+\tfrac{1}{2}k\varepsilon.\qed

Let us present some UMST norms on the plane in the light of Theorem 4.2. The first set of examples uses polar coordinates.

Example 4.7.

Let g:(0,)g:\mathbb{R}\longrightarrow(0,\infty) be a C2C^{2} and π\pi-periodic function satisfying the condition

(8) 2g(θ)2+g(θ)2g(θ)g′′(θ)>02g^{\prime}(\theta)^{2}+g(\theta)^{2}-g(\theta)g^{\prime\prime}(\theta)>0

for all θ\theta (equivalently, for 0θπ0\leqslant\theta\leqslant\pi). Then the formula vg=r/g(θ)\|v\|_{g}=r/g(\theta), where (r,θ)(r,\theta) are the polar coordinates of vv, defines a norm on the plane that satisfies the hypotheses of Theorem 4.2 and is therefore uniformly-micro-semitransitive.

All norms on the plane satisfying the hypotheses of Theorem 4.2 arise in this way.

Refer to caption
Figure 7. The “polar” curve r=1+117sin(4θ)r=1+\tfrac{1}{17}\sin(4\theta) is the sphere of a UMST norm. The resemblance to Grandpa Pig is apparent.

Indeed if Γ\Gamma is a curve with polar representation r=g(θ)r=g(\theta), with g:I(0,)g:I\longrightarrow(0,\infty) twice differentiable, then the curvature of Γ\Gamma at the point of polar coordinates (g(θ),θ)(g(\theta),\theta) is given by

|2g(θ)2+g(θ)2g(θ)g′′(θ)|(g(θ)2+g(θ)2)3/2\frac{|2g^{\prime}(\theta)^{2}+g(\theta)^{2}-g(\theta)g^{\prime\prime}(\theta)|}{\big{(}g(\theta)^{2}+g^{\prime}(\theta)^{2}\big{)}^{3/2}}\hskip 220.0pt

If in addition gg is π\pi-periodic and satisfies (8) then the bounded domain enclosed by Γ\Gamma is automatically convex (Γ\Gamma has no point of inflection) and thus Γ\Gamma is the unit sphere of a norm on 2\mathbb{R}^{2} which is actually given by vg=r/g(θ)\|v\|_{g}=r/g(\theta). Of course g\|\cdot\|_{g} is C2C^{2} off the origin if and only if gg is C2C^{2}. The converse is obviously true.

Note that if g>g′′g>g^{\prime\prime} (pointwise), then (8)(\ref{eq:polar}) holds. The first functions that satisfy this condition that come to mind are g(θ)=1+εsin(nθ)g(\theta)=1+\varepsilon\sin(n\theta) with nn even and ε<n2\varepsilon<n^{-2}; see Figure 7.

Refer to caption
Figure 8. The spheres of the norm 4\|\cdot\|_{4} in red and 1242+1222\sqrt{\frac{1}{2}\|\cdot\|_{4}^{2}+\frac{1}{2}\|\cdot\|_{2}^{2}} in blue. The later is UMST, the former is not.

A different kind of example is the following: assume \|\cdot\| is C2C^{2} off the origin on n\mathbb{R}^{n}. Given ε>0\varepsilon>0 put (ε)=2+ε22\|\cdot\|_{(\varepsilon)}=\sqrt{\|\cdot\|^{2}+\varepsilon\|\cdot\|_{2}^{2}} This new norm is again C2C^{2} and the “new” duality map, which is given by Jnew=12d2(ε)2=Jold+ε𝐈J_{\text{new}}=\tfrac{1}{2}d^{2}\|\cdot\|_{(\varepsilon)}^{2}=J_{\text{old}}+\varepsilon{\bf I} is positive definite since JoldJ_{\text{old}}, being the Hessian of a convex function, is positive semi-definite. When n=2n=2 this implies that all points of the sphere have strictly positive curvature and so (ε)\|\cdot\|_{(\varepsilon)} is UMST.

We do not know if the converse of Theorem 4.2 is true, although many of the implications of the proof are clearly reversible. Assume XX is a UMST plane and let Σ:IS\Sigma:I\longrightarrow S be a parametrization of the unit sphere by the arc-length relative to the usual Euclidean norm. It is relatively easy to see that there is I0II_{0}\subset I, whose complement has measure zero, where Σ\Sigma is twice differentiable and Σ′′:I0X\Sigma^{\prime\prime}:I_{0}\longrightarrow X is uniformly continuous. In particular the curvature, which is defined on Σ(I0)\Sigma(I_{0}), has a continuous extension to SS. Thus, the question seems to be whether UMST planes are absolutely smooth in the sense of [2].

On the other hand, the theorem is crying out for a generalisation for arbitrary (finite) dimension. Of course we need a different hypothesis in “the general case”. But for a Banach space XX (necessarily isomorphic to a Hilbert space) the following statements are equivalent:

  • Both XX and XX^{*} are C2C^{2}-smooth off the origin.

  • The function φ:X\varphi:X\longrightarrow\mathbb{R} given by φ(x)=12x2\varphi(x)=\frac{1}{2}\|x\|^{2} is C2C^{2}-smooth and dx2φd^{2}_{x}\varphi is positive definite for all xXx\in X.

(See [6, Proof of Proposition 3.7].) These in turn are equivalent to the hypothesis of Theorem 4.2 when XX has dimension 2 and we conjecture that they are equivalent to UMST in finite dimensions.

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