• Aucun résultat trouvé

Generalized derivatives of spherical associated homogeneous distributions on R n

N/A
N/A
Protected

Academic year: 2021

Partager "Generalized derivatives of spherical associated homogeneous distributions on R n "

Copied!
17
0
0

Texte intégral

(1)

Contents lists available atScienceDirect

Journal of Mathematical Analysis and Applications

www.elsevier.com/locate/jmaa

Generalized derivatives of spherical associated homogeneous distributions on R n

Ghislain R. Franssens

Belgian Institute for Space Aeronomy, Ringlaan 3, B-1180 Brussels, Belgium

a r t i c l e i n f o a b s t r a c t

Article history:

Received 20 October 2008 Available online 21 February 2009 Submitted by M. Milman Keywords:

Generalized partial derivative Associated homogeneous distribution Potential problem

Full proofs are given of general expressions for the generalized partial derivatives of spherically symmetric associated homogeneous distributions (SAHDs) based on Rn. This work complements earlier work began by Estrada and Kanwal. Special attention is given to the cases when the derivative of the distribution is a singular distribution, being either an analytic continuation or a distributional extension (or regularization). The presented results are useful for the distributional treatment of potential (i.e., time-invariant) problems inn dimensions.

©2009 Elsevier Inc. All rights reserved.

1. Introduction

Homogeneous distributions (HDs) generalize the concept of homogeneous functions, such as

|

x

|

z

:

Rn

C, which is a homogeneous function of complex degree z. Associated to homogeneous functions are power-log functions, which arise when taking the derivative with respect to the degree of homogeneity z. The set of associated homogeneous distributions (AHDs) with support in (or based on)Rn, denoted byH

(

Rn

)

, generalizes these power-log functions [5] (or [6]), [11,13,14].

Distributions in H

(

Rn

)

are important for solving distributional potential problems in ndimensions, arising as static (i.e., time-invariant) problems in various branches of physics such as electrostatics, magnetostatics, stationary gravity, molecular theory, etc.

An important subset ofH

(

Rn

)

are the O

(

n

)

-invariant AHDs onRn, called spherical associated homogeneous distributions (SAHDs), and which we denote by SH

(

Rn

)

. A prominent example isrz, having degree of homogeneity z

C and order of associationm

=

0, see e.g., [11, pp. 71, 98 and 192]. For a more detailed study of SAHDs, including the singular distributions

((

Dmz

|

x

|

z

)

e

)

z=−n2p,

m

,

p

N, and how they can be generated as pullbacks of AHDs onR, see [9], [10, Chapter 7]. For an introduction to the more modern concept of extension of a partial distribution, which generalizes the classical concept of regularization of a singular distribution, see [5,6,9]. SAHDs on Rn arise in spherically symmetric potential problems, such as the construction of a fundamental solutiong(i.e., Green’s distribution) for Poisson’s equation

g

= δ

and its complex degree generalizations (i.e., involving “complex powers of the Laplacian

”). Also, proper associated distributions (having order of associationm

>

0) do arise in this context, e.g.,gin

m+pg

= δ

, in casen

=

2m,

m

Z+and

p

N, is proportional to the distributionr2plnr.

A distributional treatment of potential problems imposes itself when the problem involves point sources and one needs to calculate derivatives of potentials at the source point. A function description fails in this case since a potential pro- portional to rp for p

>

0, is not differentiable at the origin. To give a proper distributional formulation of these type of problems, expressions for generalized partial derivatives of distributions inSH

(

Rn

)

are required. In this paper, we give gen-

E-mail address:ghislain.franssens@aeronomy.be.

URL:http://www.aeronomy.be.

0022-247X/$ – see front matter ©2009 Elsevier Inc. All rights reserved.

doi:10.1016/j.jmaa.2009.02.031

(2)

eral expressions for generalized partial derivatives of SAHDs on Rn. Notice that any monomial combination of generalized partial derivatives of any f

SH

(

Rn

)

is inH

(

Rn

)\SH

(

Rn

)

.

Generalized partial derivatives of the distribution rp,

p

Z+, were derived in [3] and in [4] (see also [12]). More general expressions, valid for all complex degrees of homogeneity and all orders of association appear not to be available yet. The here presented study fills this gap and so completes (and corrects minor errors in) the work began in [3,4,12]. Our main results are (i) expressions for the derivatives of the singular distributions

((

Dmz

|

x

|

z

)

e

)

z=−n2p,

m

,

p

N, of which only the casem

=

0 was considered in [3,4], (ii) a careful investigation of the special cases when the distribution itself or its generalized partial derivative is either a regular distribution or a singular distribution that is either an analytic continuation or a distributional extension (in classical terms: a regularization) (cf. cases (a), (b) and (c) of Section 4.2), (iii) the (more demanding) proofs of all formulas and the identities (distributional and others) required for the main proofs. Although it is evident that all main proofs can be given by induction, the non-triviality of this procedure for the singular distributions was already noticed in [3, Section 1], and no proofs were given in [3,4,12].

In [9] it is shown that all SAHDs on Rn are pullbacks T, along the function T

:

X

=

Rn

\{

0

} →

Y

=

R such that x

y

= |

x

|

, of AHDs on R [7,8]. A possible route to calculate generalized partial derivatives for SAHDs onRn that then presents itself is to use the generalized chain rule, involving the ordinary derivatives

T

/∂

xi of the function T and the generalized derivatives of AHDs onR. However, this requires that

T

/∂

xi are smooth functions in the whole ofRn. Unfor- tunately, the functions

T

/∂

xi

=

xi

/|

x

|

are not smooth at the origin. For this reason we must resort to a direct calculation, based on the definition of the generalized partial derivation operatorDi.

In Section 3, we start with distributions for which the generalized partial derivative is a regular distribution. In Section 4, we then consider distributions for which the generalized partial derivative is a singular distribution. In its first subsection, expressions for first degree derivatives are derived and in the second subsection, expressions for derivatives of arbitrary degree are proved.

2. Notation

We use the notation introduced in [5,6]. For convenience, some of these are repeated here.

1. Define 1p1 if p is true, else 1p0. Further, em1mZe, hence em

=

1 if m is even, else em

=

0 and similarly, om1mZo, henceom

=

1 ifmis odd, elseom

=

0.

2. The falling factorial polynomial and the rising factorial polynomial are,

m

N, respectively u(m)1m=0

+

10<mu

(

u

1

)(

u

2

) . . .

u

(

m

1

)

= Γ (

u

+

1

)

Γ (

u

+

1

m

) ,

(1)

u(m)1m=0

+

10<mu

(

u

+

1

)(

u

+

2

) . . .

u

+ (

m

1

)

= Γ (

u

+

m

)

Γ (

z

) .

(2)

3. Let D

(

Di

N

,

i

Z[1,n]

)

denote the generalized partial derivation operators with respect to the coordinates x

(

xi

,

i

Z[1,n]

)

. Let k

(

ki

N

,

i

Z[1,n]

)

be a multi-index and K n

i=1ki. We will use the following implicit multiplication notation

xk n i=1

xiki

,

(3)

Dk k

!

n i=1

Dkii

ki

! ,

(4)

(

2x

)

l l

!

n i=1

(

2xi

)

li

li

! ,

(5)

ekl

((

k

l

)/

2

)!

n i=1

ekili

((

ki

li

)/

2

)! .

(6)

Further define k l=0

k1

l1=0

. . .

kn

ln=0

.

(7)

In any dummy multi-indexl

(

li

,

i

Z[1,n]

)

,Lwill be a shorthand forn i=1li.

(3)

4. The surface areaAn1of the

(

n

1

)

-dimensional unit sphereSn1and the volumeVn of then-dimensional unit ballBn it bounds, are given by

An1

=

2

π

n/2

Γ (

n

/

2

) ,

(8)

Vn

=

An1

n

= π

n/2

Γ (

n

/

2

+

1

) .

(9)

Some identities that are used throughout the paper are,

n

,

p

,

m

N, A2p+2

= (

4

π )

p+1p

!

(

2p

+

1

) ! ,

(10)

4m

(

n

/

2

p

)

(m)

An+2(p+m)−1

(

4

π )

p+m

= (

1

)

mAn+2p1

(

4

π )

p

,

(11)

2

(

4

π )

pq

An+2p+1

A2q+2

=

Vn+2p

(

4

π )

p

(

2q

+

1

)!

q

! .

(12)

3. Partial derivatives being regular distributions

Proposition 1.There holds,

i

Z[1,n],

k

Z+and

(

n

2k

) <

Re

(

z

)

, Dki

k

! |

x

|

z

=

k l=0

(

z

/

2

)

((k+l)/2) ekl

((

k

l

)/

2

)!

(

2xi

)

l

l

! |

x

|

z(k+l)

.

(13)

Proof. For eachk

Z+ and

−(

n

2k

) <

Re

(

z

)

, all distributions in (13) are regular. From the definition of Di and by using partial integration it follows that the generalized partial derivative in this case is given by the same rule as the ordinary partial derivative. The proof then immediately follows by induction overk. 2

Corollary 2.Eq.(13)generalizes to, for

−(

n

2K

) <

Re

(

z

)

, Dk

k

! |

x

|

z

=

k l=0

(

z

/

2

)

((K+L)/2) ekl

((

k

l

)/

2

)!

(

2x

)

l

l

! |

x

|

z−(K+L)

.

(14)

Proof. Follows trivially from (13). 2

Proposition 3.There holds,

i

Z[1,n],

k

,

m

Z+and

−(

n

2k

) <

Re

(

z

)

, Dki

k

!

|

x

|

zlnm

|

x

|

=

m

j=0

m

j

2mj

k l=0

Pm(k+lj)/2−(mj)

(

z

/

2

)

ekl

((

k

l

)/

2

) !

(

2xi

)

l

l

! |

x

|

z−(k+l)lnj

|

x

|

,

(15)

with Pmq

(

u

)

,

m

N, the following polynomials in u of degree q, Pmq

(

u

)

dm

dumu(m+q)

=

10q

q r=0

(

m

+

r

) !

r

!

s

(

m

+

q

,

m

+

r

)

ur

,

(16)

with s

(

k

,

r

)

Stirling numbers of the first kind[1, p. 824].

Proof. For

n

<

Re

(

z

)

,Dmz

|

x

|

zis a regular distribution, soDmz

|

x

|

z

= |

x

|

zlnm

|

x

|

. By combining the definition of the derivative of a distribution with respect to a parameter, Dz[11, pp. 147–151], with the definition of Di, it easily follows that DkiDmz

=

DmzDki,

k

,

m

Z+. Then, from Eq. (13), the formula for themth derivative of a product and the identityu(p)

=

p

r=0s

(

p

,

r

)

ur for Stirling numbers of the first kinds

(

p

,

r

)

[1, 24.1.3, p. 824], the proposition follows. 2

Corollary 4.Eq.(15)generalizes to,

m

Z+and

(

n

2K

) <

Re

(

z

)

, Dk

k

!

|

x

|

zlnm

|

x

|

=

m

j=0

m

j

2mj

k l=0

Pm(K+jL)/2−(mj)

(

z

/

2

)

ekl

((

k

l

)/

2

) !

(

2x

)

l

l

! |

x

|

z−(K+L)lnj

|

x

|

.

(17)

Proof. Using DkiDmz

=

DmzDki, this immediately follows from (14). 2

By analytic continuation, Eqs. (13), (15) and (14), (17) continue to hold

(

z

+

n

)

C

\ (

Z

Z[0,2K]

)

.

(4)

4. Partial derivatives being singular distributions

The evaluation of distributions that are analytic continuations or extensions require the following projection operator,

n

Z+and

p

,

q

N,Tnp,q

:

D(Rn

)

D(Rn

)

such that

ϕψ =

Tnp,q

ϕ

, with Tnp,q

ϕ

(

x

) ϕ (

x

)

p+q

l=0 (l...l)

l=0 1L=l

L

ϕ (∂

x

)

l

x=0 xl

l

!

1l<p

+

1pl1[+

1

− |

x

|

2

,

(18)

wherein

(∂

x

)

l

(∂

x1

)

l1

. . . (∂

xn

)

ln and the step function 1[+

(

x

) =

1 iffx0. We further defineTpn,0,

p

Z, as the identity operator onD(Rn

)

. We will need the following properties of this operator,

i

Z[1,n] and

ϕ

D(Rn

)

,

Tnp,q

ϕ

xi

=

xi

Tnp+1,q

ϕ

,

(19)

Tnp,q

xi

ϕ

=

xi

Tnp1,q

ϕ

.

(20)

Eqs. (19)–(20) are easily verified by direct substitution.

We will need the following distributions,

p

,

m

Nand

ϕ

D(Rn

)

. (i) Atz

= −

n

(

2p

+

1

)

,

xk

|

x

|

n−(2p+1)

lnm

|

x

| , ϕ

Rn

xk

|

x

|

n−(2p+1)lnm

|

x

|

T2pn +1K,0

ϕ

ω

Rn

.

(21)

Definition (21) coincides for K

=

0 with the definition for the distributions

|

x

|

n−(2p+1)lnm

|

x

|

given in [9, Eq. (43)]. It is easily verified, by invoking (20), that

xk

|

x

|

n(2p+1)

lnm

|

x

| =

xk

.

|

x

|

n(2p+1)lnm

|

x

|

xk

|

x

|

n(2p+1)lnm

|

x

|

,

(22)

with the dot in the middle expression denoting multiplication of a smooth function with a distribution. Eq. (21) shows that the distributions

(

xk

|

x

|

n−(2p+1)

)

lnm

|

x

|

are analytic continuations for K2p

+

1 and regular distributions for 2p

+

1

<

K.

(ii) Atz

= −

n

2p, Dmz

xk

|

x

|

z

0

z=−n2p

, ϕ

Rn

xk

|

x

|

n2plnm

|

x

|

T2pn K,0

ϕ

ω

Rn

.

(23)

Definition (23) coincides for K

=

0 with the definition for the distributions

((

Dmz

|

x

|

z

)

0

)

z=−n2p given in [9, Eqs. (51) and (18)]. The general associated homogeneous extension is given by

Dmz

xk k

! |

x

|

z

e

z=−n2p

=

Dmz xk

k

! |

x

|

z

0

z=−n2p

+

c

(−

1

)

K k l=0

1L2pK ekl

((

k

l

)/

2

) !

(

2D

)

l l

!

p−(K+L)/2

(

p

(

K

+

L

)/

2

) ! δ,

(24)

whereinc

Cis arbitrary and Dl

q

δ, ϕ

=

qDl

δ, ϕ

q

L

(∂

x

)

l

ϕ

x=0

,

(25)

with

the generalized and ordinary Laplacian onRn, respectively. It is easily verified, by invoking (20) and (78), that also Dmz

xk

|

x

|

z

e

z=−n2p

=

xk

.

Dmz

|

x

|

z

e

z=−n2p

xk Dmz

|

x

|

z

e

z=−n2p

,

(26)

wherein Dmz

|

x

|

z

e

z=−n2p

=

Dmz

|

x

|

z

0

z=−n2p

+

c

p

p

! δ,

(27)

and c in (27) is the same constant as in (24). Eq. (23) shows that

((

Dmz

(

xk

|

x

|

z

))

0

)

z=−n2p are particular extensions for K2p and regular distributions for 2p

<

K. This is also clear from the residue of Dmz

(

xk

|

x

|

z

)

at z

= −

n

2p, which is easily obtained from the residue of Dmz

|

x

|

z [9, Eq. (48)] and by applying (78), as

z=−Resn2p

Dmz

xk k

! |

x

|

z

= (

1

)

mAn+2p1

(

4

π )

p

(

1

)

K

k l=0

1L2pK ekl

((

k

l

)/

2

) !

(

2D

)

l l

!

p−(K+L)/2

(

p

(

K

+

L

)/

2

) ! δ.

(28)

(5)

4.1. First degree derivatives

We now consider the following three remaining cases.

Case (a) refers to the regular distributions

|

x

|

n+1lnm

|

x

|

,

m

N. By the definition of a regular distribution and of Di, in terms of the operatorTnp,qand after singling out the integration overxi, we obtain,

ϕ

D(Rn

)

,

Di

|

x

|

n+1lnm

|

x

| , ϕ

= −

Rn−1

+∞

−∞

|

x

|

n+1lnm

|

x

|

xi

T0n,0

ϕ

i

ω

Rn−1

.

(29)

Case (b) refers to singular distributions of the form (21) with K

=

0, which are analytic continuations. From (21), the definition of Di, the property (19) and after singling out the integration overxi, we obtain,

ϕ

D(Rn

)

,

Di

|

x

|

n−(2p+1)lnm

|

x

| , ϕ

= −

Rn−1 +∞

−∞

|

x

|

n−(2p+1)lnm

|

x

|

xi

T2n(p+1),0

ϕ

dxi

ω

Rn−1

.

(30)

Case (c) refers to singular distributions of the form (24) with K

=

0, which are extensions. From (23), the definition of Di, the property (19) and after singling out the integration overxi, we obtain,

ϕ

D(Rn

)

,

Di Dmz

|

x

|

z

0

z=−n2p

, ϕ

= −

Rn−1 +∞

−∞

|

x

|

n2plnm

|

x

|

xi

T2pn+1,0

ϕ

dxi

ω

Rn1

.

(31)

In each of Eqs. (29), (30) and (31), the inner integral is of the form +∞

−∞

xi

, ρ

n(k1)lnmxi

, ρ

xi

Tkn,0

ϕ

dxi

,

(32)

withk

∈ {−

1

} ∪

N. In order to perform the partial integration of the integral (32), we subdivide the integration regionRn1 in (31) in the closed ball with radius 0

ρ

1 and its exterior 1

< ρ

. Inside the closed ball, the integration interval of the integral over xi is subdivided in the three subintervals

]−∞ ,

1

ρ

2

[

,

[−

1

ρ

2

, +

1

ρ

2

]

and

]+

1

ρ

2

, +∞[

, in each of which Tkn,0

ϕ

is continuous in xi. The integral (32) is calculated in Appendix A.1 and the result is given by (58). In Appendix A.2 we further apply the integration

Rn1

ω

Rn1 to the boundary term Bk,m

( ρ )

occurring in (58). The result of this integration is given by (60).

Substituting expression (58) for the inner integral (32) and using (60) and (20) yields for the right-hand sides of (29), (30) and (31) the common expression

11kok1m=0 Vn+k1

(

4

π )

(k1)/2

(k1)/2

((

k

1

)/

2

) !

xi

ϕ

x=0

+

Rn

(

n

(

k

1

))

xi

|

x

|

n−(k+1)lnm

|

x

|

+

mxi

|

x

|

n−(k+1)lnm1

|

x

|

Tnk,0

ϕ

ω

Rn

.

(33) Case (a). We get for (29), from (33) withk

=

0,

Di

|

x

|

n+1lnm

|

x

| , ϕ

=

Rn

c

(

n

+

1

)

xi

|

x

|

n1lnm

|

x

|

+

mxi

|

x

|

n1lnm1

|

x

|

Tn0,0

ϕ

ω

Rn

.

By (21), withki

=

1, K

=

1 and p

=

0, this implies that

Di

|

x

|

n+1lnm

|

x

|

= (−

n

+

1

)

xi

|

x

|

n1

lnm

|

x

| +

m

xi

|

x

|

n1

lnm1

|

x

|.

(34)

This shows that the generalized partial derivative Di

( |

x

|

n+1lnm

|

x

| )

is no longer a regular distribution, but an analytic continuation.

Case (b). We get for (30), from (33) withk

=

2

(

p

+

1

)

, Di

|

x

|

n−(2p+1)lnm

|

x

| , ϕ

=

Rn

(−

n

(

2p

+

1

))

xi

|

x

|

n−(2(p+1)+1)lnm

|

x

|

+

mxi

|

x

|

n(2(p+1)+1)lnm1

|

x

|

T2n(p+1),0

ϕ

ω

Rn

.

By (21), withki

=

1, K

=

1 and preplaced byp

+

1, this implies that

Di

|

x

|

n−(2p+1)lnm

|

x

|

= −

n

+ (

2p

+

1

)

xi

|

x

|

n−(2p+3)

lnm

|

x

| +

m

xi

|

x

|

n−(2p+3)

lnm1

|

x

| .

(35) This shows that the generalized partial derivative Di

( |

x

|

n−(2p+1)lnm

|

x

| )

is also an analytic continuation.

(6)

Case (c). We get for (31), from (33) withk

=

2p

+

1, Di

Dmz

|

x

|

z

0

z=−n2p

, ϕ

=

1m=0Vn+2p

(

4

π )

p

p

p

!

xi

ϕ

x=0

+

Rn

(−

n

2p

)

xi

|

x

|

n2(p+1)lnm

|

x

|

+

mxi

|

x

|

n2(p+1)lnm1

|

x

|

T2pn +1,0

ϕ

ω

Rn

.

By (23), withki

=

1, K

=

1 and preplaced byp

+

1, this implies that

Di

Dmz

|

x

|

z

0

z=−n2p

=

1m=0Vn+2p

(

4

π )

p

p

p

!

Di

δ(

n

+

2p

)

Dmzxi

|

x

|

z

0

z=−n2(p+1)

+

m

Dmz1xi

|

x

|

z

0

z=−n2(p+1)

.

(36)

Eq. (36) reveals that the generalized partial derivative of

((

Dmz

|

x

|

z

)

0

)

z=−n2p contains delta terms ifm

=

0, but not if m

>

0.

Example 1.Forn

=

1 andxi

=

x,Di

=

D, (34) yields D

lnm

|

x

|

=

mx1lnm1

|

x

|,

(37)

wherein the analytic continuation x1 is Cauchy’s principal value (also written as Pf1x). Eq. (37) agrees with [5, Eqs. (143) and (171)], [6, Eqs. (142) and (170)].

Example 2.Form

=

0 follows from (36) that Di

|

x

|

0n2p

= −(

n

+

2p

)

xi

|

x

|

0n2(p+1)

Vn+2p

(

4

π )

p

p

p

!

Di

δ,

(38)

and in particular for p

=

0,

Di

|

x

|

0n

= −

nxi

|

x

|

0n2

VnDi

δ.

(39)

Letn

=

3, put

n

2p

= − (

k

+

2

)

or 2p

=

k

1 (withk

Zo,+) in (38) and use the following identity (which is a direct consequence of (10) fork

=

2p

+

1),

Vk+2

(

4

π )

(k1)/2

((

k

1

)/

2

) ! =

4

π

k

+

2 1

k

! ,

(40)

to get

Di

|

x

|

−(0 k+2)

= − (

k

+

2

)

xi

|

x

|

−(0 k+4)

ok 4

π

k

+

2 1

k

!

(k1)/2Di

δ.

(41)

This shows that [12, p. 136, Eq. (16)] is wrong. Further, takingk

=

1 in (41) we get Di

|

x

|

03

= −

3xi

|

x

|

05

4

π

3 Di

δ,

(42)

instead of [12, p. 135, Eq. (14)].

4.2. Higher degree derivatives 4.2.1. The cases (a) and (b)

Proposition 5.There holds,

i

Z[1,n],

k

Z+,

m

Nand

z

∈ {−

1

} ∪

Zo,+, Dki

k

!

|

x

|

nzlnm

|

x

|

=

m

j=0

m

j

2mj

k l=0

P(mk+lj)/2−(mj)

(

z

/

2

)

ekl

((

k

l

)/

2

) !

(

2xi

)

l

l

! |

x

|

nz−(k+l)

lnj

|

x

| ,

(43)

wherein the distributions in the right-hand side are analytic continuations.

Proof. It follows from (34) and (35) that the generalized derivative of

|

x

|

nzlnm

|

x

|

,

m

Nandz

∈ {−

1

} ∪

Zo,+, is given by Leibniz’ rule. Hence the proof of (43) is identical to the one leading to (15). 2

Références

Documents relatifs

Considering the estimation issue of the MGGD parameters, the main contribution of this paper is to prove that the maximum likelihood estimator (MLE) of the scatter matrix exists and

For any shape parameter β ∈]0, 1[, we have proved that the maximum likelihood estimator of the scatter matrix exists and is unique up to a scalar factor.. Simulation results have

This is achieved by using a new convolution and isomorphic multiplication algebra of (one-dimensional) AHDs developed earlier by the author, entirely within the setting of

Random fields and diffusion processes, in Ecole d’Et´e de Probabilit´es de Saint-Flour XV-XVII-1985-87, volume 1362 of Lecture Notes in Mathematics.. Fleming

Franssens, Belgian Institute for Space Aeronomy, Ringlaan 3, B-1180 Brussels, Belgium. †

This paper (i) reviews the general properties enjoyed by AHDs, (ii) com- pletes the list of properties of the various important basis AHDs by deriving many new and general

A structure theorem for spherically symmetric associated homogeneous distributions (SAHDs) based on R n is given.. The pullback operator is found not to be injective and its kernel

Homogeneous systems may have some sup-exponential and super-exponential grows. In this case, the method of Lyapunov exponents becomes non-informative, e.g. all Lyapunov expo- nents