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© 2001-2007 Prof. Dr. Hans Wilhelm Alt, University Bonn, Germany

Tangent cone and directional derivative

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Since in this chapter we are interested into applications to function spaces, we shall denote here arguments by  u  etc. and not by  x  etc. (as in sect:tangentialraum).

Definition (Directional derivative)    [definition:7-2]

Let  X  be a normed space,  M⊂X , and  F:M → Y  with  Y=Rl . (In general  Y  can be a BANACH space.)
  • [definition:7-2-(1)] For  u∈M  the tangent cone  Tu(M)  is defined as in sect:tangentialraum (here with respect to the norm in  X ), hence
    Tu(M) := {v ∈X ; 
    ∃  (uj)j ∈N ∃  (rj)j ∈N  : uj∈M, rj>0 ,
    uj → u in X
    uj - u
     
    rj
     
    → v in X as j → ∞. }
    If  Tu(M)  turns out to be a subspace, we call it tangent space (as in sect:tangentialraum).
  • [definition:7-2-(2)] Let  u∈M . We say,  F  has a directional derivative  ∂v F(u)∈Y  at point  u  in direction  v∈Tu(M) , if for all (!) sequences  (uj)j ∈N  and  (rj)j ∈N  in the above definition the following holds:
    v F(u) =
     
    lim
    j → ∞
    F(uj) - F(u)
     
    rj
     
         in Y .
    With
    vj :=
    1
     
    rj
    (uj-u) → v in X as j → ∞
    this becomes
    v F(u) =
     
    lim
    j → ∞
    F(u+rjvj) - F(u)
     
    rj
     
         in Y .
    Notice: This definition includes the fact, that the above limit is independent of the choice of the sequences.

We mention, that this is a generalization of the notion of an derivative known from Analysis II:

Remark

Let  M  be an open subset of  Rn ,  f:M → Y  continuously differentiable. Then for  x∈M  and  v∈Rn  the directional derivative  ∂v f(x) = Df(x)(v)  exists.
Warning: The existence of a single partial derivative  ∂i f(x)  at  x∈M  (as in Analysis II) does not (!) imply the existence of the directional derivative  ∂eif(x) .
Proof Remark. The term
(f(x+rjvj)-f(x))
 
rj
 
can be formulated as
=
1
 
rj
rj
0
 
d
ds
( f(x+s vj) ) ds
=
1
0
Df(x+s rj vj)(vj) ds
→ 
Df(x)      as j → ∞.

Thus the notion "directional derivative" means, that one goes into a certain direction allowing fluctuations and computes the limit of difference quotients, whereas "partial derivative" means, that one restricts the mapping to a submanifold and computes derivatives there.


Version 1.7
H.W. Alt - 02.01.2007

Minima of functionals Minima of functionals
Divergence type equations Divergence type equations
First variation First variation
First variation Index
© 2001-2007 Prof. Dr. Hans Wilhelm Alt, University Bonn, Germany