The numerical index of Banach spaces
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1 The numerical index of Banach spaces Miguel Martín April 2nd, 2009 Zaragoza
2 Schedule of the talk 1 Basic notation 2 Numerical range of operators 3 Numerical index of Banach spaces 4 Banach spaces with numerical index one 5 Two recent results
3 Notation Basic notation X Banach space. K base field (it may be R or C), S X unit sphere, B X unit ball, X dual space, L(X) bounded linear operators, Iso(X) surjective linear isometries, T L(X ) adjoint operator of T L(X).
4 Numerical range of operators 2 Numerical range of operators Definitions and first properties Relationship with semigroups of operators Finite-dimensional spaces Isometries and duality F. F. Bonsall and J. Duncan Numerical Ranges. Vol I and II. London Math. Soc. Lecture Note Series, 1971 & 1973.
5 Numerical range: Hilbert spaces Hilbert space numerical range (Toeplitz, 1918) A n n real or complex matrix W (A) = { (Ax x) : x K n, (x x) = 1 }. H real or complex Hilbert space, T L(H), W (T ) = { (T x x) : x H, x = 1 }. Some properties H Hilbert space, T L(H): W (T ) is convex. In the complex case, W (T ) contains the spectrum of T. If T is normal, then W (T ) = cosp(t ).
6 Numerical range: Banach spaces Banach spaces numerical range (Bauer 1962; Lumer, 1961) X Banach space, T L(X), V (T ) = { x (T x) : x S X, x S X, x (x) = 1 } Some properties X Banach space, T L(X): V (T ) is connected (not necessarily convex). In the complex case, V (T ) contains the spectrum of T. In fact, cosp(t ) = cov (T ), the intersection taken over all numerical ranges V (T ) corresponding to equivalent norms on X.
7 Some motivations for the numerical range For Hilbert spaces It is a comfortable way to study the spectrum. It is useful to work with some concept like hermitian operator, skew-hermitian operator, dissipative operator... It is useful to estimate spectral radii of small perturbations of matrices. For Banach spaces It allows to carry to the general case the concepts of hermitian operator, skew-hermitian operator, dissipative operators... It gives a description of the Lie algebra corresponding to the Lie group of all onto isometries on the space. It gives an easy and quantitative proof of the fact that Id is an strongly extreme point of B L(X) (MLUR point).
8 Relationship with semigroups of operators A motivating example A real or complex n n matrix. TFAE: A is skew-adjoint (i.e. A = A). Re(Ax x) = 0 for every x H. B = exp(ρa) is unitary for every ρ R (i.e. B B = BB = Id). In term of Hilbert spaces H (n-dimensional) Hilbert space, T L(H). TFAE: ReW (T ) = {0}. exp(ρt ) Iso(H) for every ρ R. For general Banach spaces X Banach space, T L(X). TFAE: ReV (T ) = {0}. exp(ρt ) Iso(X) for every ρ R.
9 Characterizing uniformly continuous semigroups of operators Theorem (Bonsall-Duncan, 1970 s; Rosenthal, 1984) X real or complex Banach space, T L(X). TFAE: ReV (T ) = {0} (T is skew-hermitian). exp(ρt ) 1 for every ρ R. { exp(ρt ) : ρ R + 0 } Iso(X). T belongs to the tangent space to Iso(X) at Id. Id + ρt 1 lim = 0. ρ 0 ρ Main consequence If X is a real Banach space such that V (T ) = {0} = T = 0, then Iso(X) is small : it does not contain any uniformly continuous one-parameter semigroups, the tangent space of Iso(X) at Id is zero.
10 Isometries on finite-dimensional spaces Theorem (Rosenthal, 1984) X real finite-dimensional Banach space. TFAE: Iso(X) is infinite. There is T L(X), T 0, with V (T ) = {0}. Theorem (Rosenthal, 1984; M. Merí Rodríguez-Palacios, 2004) X finite-dimensional real space. TFAE: Iso(X) is infinite. X = X 0 X 1 X n such that X 0 is a (possible null) real space, X 1,...,X n are non-null complex spaces, there are ρ 1,...,ρ n rational numbers, such that x 0 + e i ρ1 θ x e i ρn θ x n = x0 + x x n for every x i X i and every θ R.
11 Isometries on finite-dimensional spaces II Remark The theorem is due to Rosenthal, but with real ρ s. The fact that the ρ s may be chosen as rational numbers is due to M. Merí Rodríguez-Palacios. Corollary X real space with infinitely many isometries. If dim(x) = 2, then X C. If dim(x) = 3, then X R C (absolute sum). Example X = (R 4, ), (a,b,c,d) = 1 2π ( Re e 2it (a + ib) + e it (c + id)) dt. 4 0 Then, Iso(X) is infinite but the unique possible decomposition is X = C C with e it x1 + e 2it x 2 = x1 + x 2.
12 The Lie-algebra of a Banach space Lie-algebra X real Banach space, Z(X) = { T L(X) : V (T ) = {0} }. When X is finite-dimensional, Iso(X) is a Lie-group and Z(X) is the tangent space (i.e. its Lie-algebra). Remark If dim(x) = n, then 0 dim(z(x)) n(n 1). 2 An open problem Given n 3, which are the possible dim ( Z(X) ) over all n-dimensional X s? Observation (Javier Merí, PhD) When dim(x) = 3, dim(z(x)) cannot be 2.
13 Semigroups of surjective isometries and duality The construction (M., 2008) E C( ) separable Banach space. We consider the Banach space C E ([0,1] ) = {f C[0,1] : f E}. Then, every T L ( C E ([0,1] ) ) satisfies sup V (T ) = T and The main consequence Take E = l 2 (real). Then C E ([0,1] ) E 1 L 1 (µ). Iso ( C l2 ([0,1] ) ) is small (there is no uniformly continuous semigroups). Since C l2 ([0,1] ) l 2 1 L 1 (µ), given S Iso(l 2 ), the operator ( ) S 0 T = Iso ( C 0 Id l2 ([0,1] ) ). Therefore, Iso ( C l2 ([0,1] ) ) contains infinitely many uniformly continuous semigroups of isometries.
14 Numerical index of Banach spaces 3 Numerical index of Banach spaces Basic definitions and examples Stability properties Duality The isomorphic point of view V. Kadets, M. Martín, and R. Payá. Recent progress and open questions on the numerical index of Banach spaces. RACSAM (2006)
15 Numerical index of Banach spaces: definitions Numerical radius X Banach space, T L(X). The numerical radius of T is v(t ) = sup { x (T x) : x S X, x S X, x (x) = 1 } Remark The numerical radius is a continuous seminorm in L(X). Actually, v( ) Numerical index (Lumer, 1968) X Banach space, the numerical index of X is n(x) = inf { v(t ) : T L(X), T = 1 } Using exponentials n(x) = inf = max { k 0 : k T v(t ) T L(X) } { } M 0 : T L(X), T = 1, exp(ρt ) e ρm ρ R
16 Numerical index of Banach spaces: basic properties Some basic properties n(x) = 1 iff v and coincide. n(x) = 0 iff v is not an equivalent norm in L(X) X complex n(x) 1/e. (Bohnenblust Karlin, 1955; Glickfeld, 1970) Actually, {n(x) : X complex, dim(x) = 2} = [e 1,1] {n(x) : X real, dim(x) = 2} = [0,1] (Duncan McGregor Pryce White, 1970)
17 Numerical index of Banach spaces: some examples Examples 1 H Hilbert space, dim(h) > 1, n(h) = 0 n(h) = 1/2 if H is real if H is complex 2 n ( L 1 (µ) ) = 1 µ positive measure n ( C(K) ) = 1 K compact Hausdorff space 3 If A is a C -algebra (Duncan et al., 1970) { n(a) = 1 A commutative n(a) = 1/2 A not commutative (Huruya, 1977; Kaidi Morales Rodríguez, 2000) 4 If A is a function algebra n(a) = 1 (Werner, 1997)
18 Numerical index of Banach spaces: some examples II More examples 5 For n 2, the unit ball of X n is a 2n regular polygon: ( π tan if n is even, 2n) n(x n) = ( π sin if n is odd. 2n) (M. Merí, 2007) 6 Every finite-codimensional subspace of C[0, 1] has numerical index 1 (Boyko Kadets M. Werner, 2007)
19 Numerical index of Banach spaces: some examples III Even more examples 7 Numerical index of L p-spaces, ( ) 1 < ( p < : ) n L p[0,1] = n(l p) = lim n l (m) p. Open problem ( ) n l (2) p? In the real case, { } 1 max 2 1/p, 1 2 1/q v ( ) 0 1 and v 1 0 m (Ed-Dari, 2005 & Ed-Dari-Khamsi, 2006) t p 1 t = max t [0,1] 1 + t p ( 0 ) (M. Merí, 2009) n ( l (2) p ) ( ) 0 1 v 1 0 Compute n ( L p[0,1] ) for 1 < p <, p 2. Even more, compute n ( l (2) p ). More at the end of the talk.
20 Stability properties Direct sums of Banach spaces (M. Payá, 2000) ) ) ) n ([ λ Λ X λ ] c0 = n ([ λ Λ X λ ] l1 = n ([ λ Λ X λ ] l = inf n(x λ) λ Consequences There is a real Banach space X such that v(t ) > 0 when T 0, but n(x) = 0 (i.e. v( ) is a norm on L(X) which is not equivalent to the operator norm). For every t [0,1], there exist a real X t isomorphic to c 0 (or l 1 or l ) with n(x t ) = t. For every t [e 1,1], there exist a complex Y t isomorphic to c 0 (or l 1 or l ) with n(y t ) = t.
21 Stability properties II Vector-valued function spaces (López M. Merí Payá Villena, 200 s) E Banach space, µ positive measure, K compact space. Then n ( C(K,E) ) = n ( C ) w(k,e) = n ( L 1 (µ,e) ) = n ( L ) (µ,e) = n(e), and n ( C w (K,E ) ) n(e) Tensor products (Lima, 1980) There is no general formula neither for n ( X ε Y ) nor for n ( X π Y ) : n ( l (4) 1 π l (4) ) ( (4) 1 = n l ε l (4) ) = 1. n ( l (4) 1 ε l (4) ) ( (4) 1 = n l π l (4) ) < 1. L p -spaces (Askoy Ed-Dari Khamsi, 2007) n ( L ) p([0,1],e) = n ( l ) p(e) = lim n( m E p p E ). m
22 Numerical index and duality Proposition X Banach space, T L(X). Then Id + αt 1 suprev (T ) = lim. α 0 + α v(t ) = v(t ) for every T L(X). Therefore, n(x ) n(x). (Duncan McGregor Pryce White, 1970) Question (From the 1970 s) Is n(x) = n(x )? Negative answer (Boyko Kadets M. Werner, 2007) Consider the space X = { (x,y,z) c c c : limx + limy + limz = 0 }. Then, n(x) = 1 but n(x ) < 1.
23 Numerical index and duality II Some positive partial answers One has n(x) = n(x ) when X is reflexive (evident). X is a C -algebra or a von Neumann predual (1970 s 2000 s). X is L-embedded in X (M., 20??). If X has RNP and n(x) = 1, then n(x ) = 1 (M., 2002). Open question Find isometric or isomorphic properties assuring that n(x) = n(x ). More examples (M. 20??) There is X with n(x) > n(x ) such that X is a von Neumann algebra. If X is separable and X c 0, then X can be renormed to fail the equality.
24 The isomorphic point of view Renorming and numerical index (Finet M. Payá, 2003) (X, ) (separable or reflexive) Banach space. Then Real case: [0,1[ {n(x, ) : } Complex case: [e 1,1[ {n(x, ) : } Open question The result is known to be true when X has a long biorthogonal system. Is it true in general?
25 Banach spaces with numerical index one 4 Banach spaces with numerical index one Isomorphic properties Isometric properties Asymptotic behavior V. Kadets, M. Martín, and R. Payá. Recent progress and open questions on the numerical index of Banach spaces. RACSAM (2006)
26 Banach spaces with numerical index 1 Definition Numerical index 1 Recall that X has numerical index one (n(x) = 1) iff T = sup { x (T x) : x S X, x S X, x (x) = 1 } (i.e. v(t ) = T ) for every T L(X). Observation For Hilbert spaces, the above formula is equivalent to the classical formula T = sup{ T x,x : x S X } for the norm of a self-adjoint operator T. Examples C(K), L 1 (µ), A(D), H, finite-codimensional subspaces of C[0,1]...
27 Isomorphic properties (prohibitive results) Question Does every Banach space admit an equivalent norm to have numerical index 1? Negative answer (López M. Payá, 1999) Not every real Banach space can be renormed to have numerical index 1. Concretely: If X is real, reflexive, and dim(x) =, then n(x) < 1. Actually, if X is real, X /X separable and n(x) = 1, then X is finite-dimensional. Moreover, if X is real, RNP, dim(x) =, and n(x) = 1, then X l 1. A very recent result (Avilés Kadets M. Merí Shepelska) If X is real, dim(x) = and n(x) = 1, then X l 1. More details on this at the end of the talk.
28 Isomorphic properties (positive results) A renorming result (Boyko Kadets M. Merí, 2009) If X is separable, X c 0, then X can be renormed to have numerical index 1. Consequence X separable containing c 0 = there is Z X such that n(z) = 1 and { n(z ) = 0 real case n(z ) = e 1 complex case Open questions Find isomorphic properties which assures renorming with numerical index 1 In particular, if X l 1, can X be renormed to have numerical index 1? Negative result (Bourgain Delbaen, 1980) There is X such that X l 1 and X has the RNP. Then, X can not be renormed with numerical index 1 (in such a case, X l 1! )
29 Isometric properties: finite-dimensional spaces Finite-dimensional spaces (McGregor, 1971; Lima, 1978) X real or complex finite-dimensional space. TFAE: n(x) = 1. x (x) = 1 for every x ext(b X ), x ext(b X ). B X = aconv(f ) for every maximal convex subset F of S X (X is a CL-space). Remark This shows a rough behavior of the norm of a finite-dimensional space with numerical index 1: Question The space is not smooth. The space is not strictly convex. What is the situation in the infinite-dimensional case?
30 Isometric properties: infinite-dimensional spaces Theorem (Kadets M. Merí Payá, 20??) X infinite-dimensional Banach space, n(x) = 1. Then X is neither smooth nor strictly convex. The norm of X cannot be Fréchet-smooth. Consequence (real case) X C[0,1] strictly convex or smooth = C[0,1]/X contains C[0,1]. Example without completeness There is a (non-complete) space X such that X L 1 (µ) (so n(x) = 1 and more), and X is strictly convex. Open question Is there X with n(x) = 1 which is smooth or strictly convex?
31 Asymptotic behavior of the set of spaces with numerical index one Theorem (Oikhberg, 2005) There is a universal constant c such that dist ( X,l (m) 2 ) c m 1 4 for every m N and every m-dimensional X with n(x) = 1. Old examples dist ( l (m) 1,l (m) 2 ) = dist ( l (m),l (m) ) 1 2 = m 2 Open questions Is there a universal constant c such that dist ( X,l (m) 2 ) c m 1 2 for every m N and every m-dimensional X s with n(x) = 1? What is the diameter of the set of all m-dimensional X s with n(x) = 1?
32 Two recent results 5 Two recent results Containment of c 0 or l 1 On the numerical index of L p (µ) A. Avilés, V. Kadets, M. Martín, J. Merí, and V. Shepelska. Slicely countably determined Banach spaces. Trans. Amer. Math. Soc. (to appear). V. Kadets, M. Martín, J. Merí, and R. Payá. Smoothness and convexity for Banach spaces with numerical index 1. Illinois J. Math. (to appear). M. Martín, J. Merí, and M. Popov. On the numerical index of real L p(µ)-spaces. Preprint.
33 Containment of c 0 or l 1 Open question X real, dim(x) =, n(x) = 1 = X c 0 or X l 1? Theorem (2008) X real, dim(x) =, n(x) = 1 = X l 1. Proof. If X l 1 we use the lifting property of l 1 (AKMMS) If X l 1 = for x S X, ε > 0, there is y S X : y (x) > 1 ε and B X = conv ({ z B X : y (z) > 1 ε }). This property (called lushness) reduces to the separable case. (KMMP) In the separable case, lushness implies x (x ) = 1 for every x ext(b X ) and every x G, G norming for X. (Lopez-M.-Payá, 1999) This gives X c 0 or X l 1 = X l 1
34 On the numerical index of L p (µ). I The numerical radius for L p (µ) For T L ( L ) p(µ), 1 < p <, one has { } v(t ) = sup x # T xdµ : x L p(µ), x p = 1. Ω where for x L p(µ), x # = x p 1 sign(x) L q(µ) satisfies (unique) x p p = x # q q and The absolute numerical radius For T L ( L ) p(µ) we write { v (T ) := sup { = sup xx # dµ = x p x # q = x p p. Ω x # T x dµ : x L p(µ), x p = 1 Ω x p 1 T x dµ : x L p(µ), x p = 1 Ω } }
35 On the numerical index of L p (µ). II Theorem For T L ( L p(µ) ), 1 < p <, one has v(t ) Mp 4 t p 1 t v (T ), where Mp = max t [0,1] 1 + t p. Theorem For T L ( L ) p(µ), 1 < p <, one has 2 v (T ) v(t C ) n ( L C p (µ) ) T, T C complexification of T, n ( L C p (µ) ) numerical index complex case. Consequence For 1 < p <, n ( L p(µ) ) Mp 8e. If p 2, then n ( L p(µ) ) > 0, so v and are equivalent in L ( L p(µ) ).
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