2.Lipschitz derivatives
Let X be a metric space, a ∈ X and ε > 0. We always denote the metric on X by | · − · |X and
\eqalign{
& B\left( {a,\;\varepsilon } \right) = {B_X}\left( {a,\;\varepsilon } \right) = \{ x \in X:|x - a{|_X} < \varepsilon \} , \cr
& B\left[ {a,\;\varepsilon } \right] = {B_X}\left[ {a,\;\varepsilon } \right] = \{ x \in X:|x - a{|_X} \le \varepsilon \} . \cr}
Definition 1.
Let X and Y be metric spaces, f : X → Y be a function, x ∈ X. Denote
\left\| f \right\|_{{\text{lip}}} = \mathop {{\text{sup}}}\limits_{u \ne v \in X} \frac{1}
{{\left| {u - v} \right|_X }}\left| {f\left( u \right) - f\left( v \right)} \right|_Y
,
{\rm{ {\mathbb L}ip }}f\left( x \right) = \mathop {\mathop {\lim {\rm{sup}}}\limits_{\left( {u,v} \right) \to \left( {x,x} \right)} }\limits_{u \ne v} {\rm{\;}}{1 \over {{{\left| {u - v} \right|}_X}}}{\left| {f\left( u \right) - f\left( v \right)} \right|_{_Y}}
,
{\rm{Lip }}f\left( x \right) = \mathop {\lim \sup }\limits_{u \to x} {\rm{\;\;}}{1 \over {{{\left| {u - x} \right|}_X}}}|f\left( u \right) - f\left( x \right){|_Y}
,
{\rm{lip}}\,f\left( x \right) = \mathop {\lim \inf }\limits_{r \to {0^ + }} \mathop {{\rm{\;sup}}}\limits_{u \in B\left( {x,r} \right)} {\rm{\;}}{1 \over r}|f\left( u \right) - f\left( x \right){|_Y}
;
The number ∥f∥lip is the Lipschitz constant of f. The functions 𝕃ip f, Lip f and lip f are called the local, big and little Lipschitz derivative respectively.
We denote by Xd the set of all non-isolated points of X. Throughout the paper, we assume that sup ∅ = 0. As a consequence of this assumption we have 𝕃ip f(x) = Lip f(x) = lip f(x) = 0 for any x ∈ X \ Xd.
Obviously, if Y is a normed space then ∥ · ∥lip is an extended seminorm on YX in the sense [13]. Moreover, ∥ · ∥lip is a norm on the space Lipa(X, Y ) of all Lipschitz functions f : X → Y vanishing at some fixed point a ∈ X.
We introduce some auxiliary notations:
{\rm{\mathbb L}{ip}}{^r}{\rm{ }}f\left( x \right) = {\left\| {f|{B_{(x,r)}}} \right\|_{{\rm{lip}}}} = \mathop {\sup }\limits_{u \ne v \in B(x,r)} {\rm{\;\;}}{1 \over {{{\left| {u - v} \right|}_X}}}|f\left( u \right) - f\left( v \right){|_Y}
;
{\rm{Li}}{{\rm{p}}^r}f\left( x \right) = \mathop {{\rm{sup}}}\limits_{u \in B\left( {x,r} \right)} {\rm{\;}}{1 \over r}|f\left( u \right) - f\left( x \right){|_Y},{\rm{Lip}}_ + ^rf\left( x \right) = \mathop {{\rm{\;sup}}}\limits_{u \in B\left[ {x,r} \right]} {\rm{\;}}{1 \over r}|f\left( u \right) - f\left( x \right){|_Y}
;
{\rm{Li}}{{\rm{p}}_{\rm{r}}}\,f\left( x \right) = \mathop {{\rm{\;sup}}}\limits_{{\rm{0 < }}\varrho {\rm{ < }}r} {\rm{\;Li}}{{\rm{p}}^\varrho }f\left( x \right),1{\rm{i}}{{\rm{p}}_r}\,f\left( x \right) = {\rm{\;}}\mathop {{\rm{inf\;}}}\limits_{{\rm{0 < }}\varrho {\rm{ < }}r} {\rm{Li}}{{\rm{p}}^\varrho }f\left( x \right)
.
Therefore, the definitions of the Lipschitz derivatives might be rewritten as follows
{\rm{{\mathbb L}ip}}\,f\left( x \right) = {\rm{\;}}\mathop {{\rm{inf}}}\limits_{r{\rm{ > 0}}} {\rm{\mathbb L\rm{ip}}^r}{\rm{\;}}f\left( x \right){\rm{,}}\,\,\,\,\,{\rm{lip}}\,f\left( x \right) = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;Li}}{{\rm{p}}^r}f\left( x \right).
Some authors (see, for example, [6, 2, 3]) define Lip f and lip f using the function
{\rm{Lip}}_ + ^rf
instead of Lipr f. In the case where X is a normed space, we have
B\left[ {x,\;r} \right] = \overline {B\left( {x,r} \right)}
. Therefore,
{\rm{Li}}{{\rm{p}}^r}f\left( x \right) = {\rm{Lip}}_ + ^rf\left( x \right)
for any continuous function f. But the previous equality does not hold for the discrete metric on X, nonconstant f and r = 1. However, we have the following
Proposition 2.1.
Let X and Y be metric spaces and f : X → Y be a function. Then, for any non-isolated point x ∈ X, the following equalities hold
\eqalign{
& {\rm{Lip }}f\left( x \right) = \mathop {\lim \sup }\limits_{r \to {0^ + }} {\rm{\;Li}}{{\rm{p}}^r}{\rm{ }}f\left( x \right) = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;Lip}}_ + ^rf\left( x \right), \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,{\rm{lip}}\,f\left( x \right) = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;Lip}}_ + ^rf\left( x \right). \cr}
We start with the following
Lemma 2.2.
Let φ, ψ : [0, +∞) → [0, +∞] be functions such that
\varphi \left( \varrho \right) \le \psi \left( \varrho \right) \le {r \over \varrho }\varphi \left( r \right)
for any 0 < ϱ < r. Then
\mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\varphi \left( r \right) = \mathop {\lim \sup }\limits_{r \to {0^ + }} {\rm{\;}}\psi \left( r \right),\,\,\,\,\,\;\mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} \varphi \left( r \right) = \mathop {\lim \inf }\limits_{r \to {0^ + }} \psi \left( r \right).
Proof.
Denote
\eqalign{
& A = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\varphi \left( r \right),\,\,\,\,\,\,\,B = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\psi \left( r \right), \cr
& a = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\varphi \left( r \right),\,\,\,\,\,\,\,\,\,\,b = \mathop {\lim }\limits_{r \to {0^ + }} {\rm{\;inf\;}}\psi \left( r \right). \cr}
Obviously, A ≤ B and a ≤ b. Let us show, that A ≥ B. Choose ϱn → 0+ such that ψ(ϱn) → B. Put
{r_n} = {\varrho _n} + \varrho _n^2
. Since
\psi \left( {{\varrho _n}} \right) \le {{{r_n}} \over {{\varrho _n}}}\varphi \left( {{r_n}} \right)
. Therefore,
A \ge \mathop {\lim \sup }\limits_{n \to \infty } {\rm{\;}}\varphi \left( {{r_n}} \right) \ge \mathop {\lim }\limits_{n \to \infty } {{{\varrho _n}} \over {{r_n}}}\psi \left( {{\varrho _n}} \right) = B.
Now, we will show that a ≥ b. Choose rn → 0+ such that 0 < rn < 1 and φ(rn) → a. Let
{\varrho _n} = {r_n} - r_n^2
. Since 0 < ϱn < rn,
\psi \left( {{\varrho _n}} \right) \le {{{r_n}} \over {{\varrho _n}}}\varphi \left( {{r_n}} \right)
, we have
b \le \mathop {\lim \inf }\limits_{n \to \infty } {\rm{\;}}\psi \left( {{\varrho _n}} \right) \le \mathop {\lim }\limits_{n \to \infty } {{{r_n}} \over {{\varrho _n}}}\varphi \left( {{r_n}} \right) = a.
Proof of Proposition 2.1.
Fix a non-isolated point x ∈ X. Denote
φ(r) = Lipr f(x),
\psi \left( r \right) = {\rm{Lip}}_ + ^r\,f\left( x \right)
. Therefore,
r\varphi \left( r \right) = {\rm{\;}}\mathop {{\rm{sup}}}\limits_{u \in B\left( {x,r} \right)} {\rm{\;}}|f\left( u \right) - f\left( x \right){|_Y}
and
r\psi \left( r \right) = {\rm{\;}}\mathop {{\rm{sup}}}\limits_{u \in B\left( {x,r} \right)} {\rm{\;}}|f\left( u \right) - f\left( x \right){|_Y}
. Let 0 < ϱ < r. Then B (x, ϱ) ⊆ B [x, ϱ] ⊆ B (x, r), so
\varrho \varphi \left( \varrho \right) \le \varrho \psi \left( \varrho \right) \le r\varphi \left( r \right).
Hence, φ and ψ satisfy the condition from Lemma
2.2. Thus, by Lemma 2.2 we conclude that
\mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;}}\varphi \left( r \right) = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\psi \left( r \right){\rm{ and }}\mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\varphi \left( r \right) = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;}}\psi \left( r \right).
By the definition, we have
f\left( x \right) = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\varphi \left( r \right)
.
It remains to show that
{\rm{Lip}}\,f\left( x \right) = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\psi \left( r \right)
. Denote for any r > 0
\alpha \left( r \right) = {\rm{\;}}\mathop {{\rm{sup}}}\limits_{{\rm{0 < }}\varrho < r} {\rm{\;}}\psi \left( \varrho \right)\,\,\,\,{\rm{and}}\,\,\,\beta \left( r \right) = {\rm{\;sup}}\left\{ {{\rm{\;}}{{|f\left( u \right) - f\left( x \right){|_Y}} \over {|u - x{|_X}}}:0 < |u - x{|_X} < r} \right\}.
Therefore,
\eqalign{
& \alpha \left( r \right) = \;\mathop {{\rm{\;sup}}}\limits_{0 < \rho < r} {\rm{\;}}\;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < {{\left| {u - x} \right|}_X} \le \rho } {\rm{\;}}\;{1 \over \rho }|f\left( u \right) - f\left( x \right){|_Y} \cr
& \,\,\,\,\,\,\,\,\,\,\, \le \;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < \rho < r} {\rm{\;}}\;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < {{\left| {u - x} \right|}_X} \le \rho } {\rm{\;}}\;{1 \over {{{\left| {u - x} \right|}_X}}}|f\left( u \right) - f\left( x \right){|_Y} = \beta \left( r \right). \cr}
On the other hand, we have
\eqalign{
& \beta \left( r \right) = \;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < \rho < r} {\rm{\;}}\;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{|u - x{|_X} = \rho } {\rm{\;}}\;{1 \over \rho }|f\left( u \right) - f\left( x \right){|_Y} \cr
& \,\,\,\,\,\,\,\,\,\,\,\, \le \;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < \rho < r} {\rm{\;}}\;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < {{\left| {u - x} \right|}_X} \le \rho } {\rm{\;}}\;{1 \over \rho }|f\left( u \right) - f\left( x \right){|_Y} \cr
& \,\,\,\,\,\,\,\,\,\,\,\, = {\rm{\;}}\mathop {{\rm{sup}}}\limits_{0 < \rho < r} {\rm{\;Lip}}_ + ^\rho f\left( x \right) = \alpha \left( r \right). \cr}
We have shown, that α(r) = β(r) for r > 0. Hence,
{\rm{Lip}}\,f\left( x \right) = {\rm{\;}}\mathop {{\rm{inf}}}\limits_{r > 0} {\rm{\;}}\beta \left( r \right) = {\rm{\;}}\mathop {{\rm{inf}}}\limits_{r > 0} {\rm{\;}}\alpha \left( r \right) = \mathop {\lim {\rm{sup}}}\limits_{r \to {0^ + }} {\rm{\;\;}}\psi \left( r \right).
Note, that
(2.1)
{\rm{Li}}{{\rm{p}}_r}\,f\left( x \right) \le {\rm{Li}}{{\rm{p}}_{r'}}f\left( x \right)\,\,\,{\rm{and}}\,\,\,{\rm{1i}}{{\rm{p}}_r}\,f\left( x \right) \ge {\rm{1i}}{{\rm{p}}_{r'}}\,f\left( x \right)\,\,\,\,\,\,{\rm{if }}\,\,0 < r < r'.
So, the definitions and the previous proposition yield
(2.2)
{\rm{Lip}}\,f\left( x \right) = {\rm{\;}}\mathop {{\rm{inf}}}\limits_{r > 0} {\rm{\;Li}}{{\rm{p}}_r}\,f\left( x \right) = \mathop {\lim }\limits_{r \to {0^ + }} {\rm{Li}}{{\rm{p}}_r}f\left( x \right),
(2.3)
{\rm{lip}}\,f\left( x \right) = {\rm{\;}}\mathop {{\rm{sup\;}}}\limits_{r > 0} 1{\rm{i}}{{\rm{p}}_r}f\left( x \right) = \mathop {\lim }\limits_{r \to {0^ + }} 1{\rm{i}}{{\rm{p}}_r}f\left( x \right).
Therefore, it is easy to see that the following inequalities hold.
(2.4)
\eqalign{
& {\rm{1i}}{{\rm{p}}_r}f\left( x \right) \le {\rm{Li}}{{\rm{p}}_{\rm{r}}}f\left( x \right) \le {\rm{{\mathbb L}ip}}{^r}f\left( x \right)\,\,\,\,\,{\rm{for\,\, any}}r > 0, \cr
& {\rm{lip }}f\left( x \right) \le {\rm{Lip}}\,f\left( x \right) \le {\rm{{\mathbb L}ip}}\,f\left( x \right). \cr}
Definition 2.
Let X and Y be metric spaces and γ ≥ 0. A function f : X → Y is called
γ-Lipschitz if ∥f∥lip ≤ γ;
Lipschitz if ∥f∥lip < ∞;
locally Lipschitz if 𝕃ip f < ∞;
pointwise Lipschitz if Lip f < ∞;
weakly pointwise Lipschitz if lip f < ∞.
Denote
𝕃(f) = {x ∈ X : 𝕃ip f(x) < ∞};
𝕃∞(f) ={x ∈ X : 𝕃ip f(x) = ∞} = X \ 𝕃(f);
L(f) = {x ∈ X : Lip f(x) < ∞};
L∞(f) = {x ∈ X : Lip f(x) = ∞} = X \ L(f);
ℓ(f) = {x ∈ X : lip f(x) < ∞};
ℓ∞(f) = {x ∈ X : lip f(x) < ∞}; = X \ ℓ(f).
Inequalities (
2.4) yield the next assertion.
Proposition 2.3.
Let X and Y be metric spaces, and f : X → Y be a function. Then 𝕃(f) ⊆ L(f) ⊆ ℓ(f) and ℓ∞(f) ⊆ L∞(f) ⊆ 𝕃∞(f).
3.Connections of Lipschitz derivatives to classical notion of a derivative
One might ask under what conditions the Lipschitz derivative (of any given type) coincides with one of the “traditional” notions of the derivative of a given function, provided that an appropriate derivative exists. It is obvious that for a real differentiable function f : ℝ → ℝ, we have lip f(x) = Lip f(x) = |f′(x)| at any x ∈ ℝ.
In [7], the following theorem was proved.
Theorem 3.1.
Let X and Y be normed spaces, G be an open subset of X, and f : G → Y have a locally bounded Gateaux derivative f′. Then,
{\rm{{\mathbb L}ip}}\,f\left( x \right) = \mathop {\lim {\text{sup}}}\limits_{u \to x} \left\| {f'\left( x \right)} \right\|
for x ∈ X and so, f is locally Lipschitz. Moreover, if f is C1 function, then 𝕃ip f(x) = ∥f′(x)∥, x ∈ X.
The following result was also stated in [7], but the proof contains a small blunder. Here, we provide the correct proof.
Theorem 3.2.
Let f : X → Y, where X and Y are normed spaces and assume that there exists the Fréchet derivative df (x0) of f at a point x0 ∈ X. Then lip f(x0) = Lip f(x0) = ∥df (x0)∥.
Proof.
It is enough to consider the case X ≠ {0}. Denote by A = df (x0) the Fréchet derivative of f at the point x0. We have
(3.1)
f\left( x \right) - f\left( {{x_0}} \right) = A\left( {x - {x_0}} \right) + \alpha \left( x \right)\,\,\, for x \in X,
where α is a function, such that
\mathop {\lim }\limits_{x \to x_0 } \frac{{\alpha \left( x \right)}}{{\left\| {x - x_0 } \right\|}} = 0
. By (3.1) we have
\left\| {f\left( x \right) - f\left( {x_0 } \right)} \right\| \leq \left\| A \right\|\left\| {x - x_0 } \right\| + \left\| {\alpha \left( x \right)} \right\|,
hence
\frac{{\left\| {f\left( x \right) - f\left( {x_0 } \right)} \right\|}}{{\left\| {x - x_0 } \right\|}} \leq \left\| A \right\| + \left\| {\frac{{\alpha \left( x \right)}}
{{\left\| {x - x_0 } \right\|}}} \right\|.
Thus,
\eqalign{
& {\text{lip }}f\left( {x_0 } \right) \leq {\text{Lip}}\,f\left( {x_0 } \right) = \mathop {\lim {\text{sup}}}\limits_{x \to x_0 } {\text{}}\frac{{\left\| {f\left( x \right) - f\left( {x_0 } \right)} \right\|}}
{{\left\| {x - x_0 } \right\|}} \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \leq \mathop {\lim }\limits_{x \to x_0 } \left( {\left\| A \right\| + \left\| {\frac{{\alpha \left( x \right)}}
{{\left\| {x - x_0 } \right\|}}} \right\|} \right) = \left\| A \right\|. \cr}
We want to prove that lip f(x0) ≥ ∥A∥. Fix ε > 0. Then, there exists e ∈ X such that ∥e∥ = 1 and
\left\| {Ae} \right\|\, \ge \,\left\| A \right\| - \varepsilon .
For any r > 0, denote xr = x0 + re. Note that r = ∥xt − x0∥, and xr → x0 as r → 0. So,
{{\alpha \left( {{x_r}} \right)} \over r} \to 0
as r → 0. Therefore, by (3.1)
f\left( {{x_r}} \right) - f\left( {{x_0}} \right) = A\left( {{x_r} - {x_0}} \right) + \alpha \left( {{x_r}} \right) = rAe + \alpha \left( {{x_r}} \right),
so for any r > 0
\eqalign{
{\text{Lip}}_ + ^r f\left( {x_0 } \right) &= \frac{1}
{r}\mathop {{\text{sup}}}\limits_{\left\| {u - x} \right\| \leq r} \left\| {f\left( x \right) - f\left( {x_0 } \right)} \right\| \geq \frac{1}
{r}\left\| {f\left( {x_r } \right) - f\left( {x_0 } \right)} \right\| \cr
& = \left\| {Ae + \frac{{\alpha \left( {x_r } \right)}}
{r}} \right\| \geq \left\| {Ae} \right\| - \left\| {\frac{{\alpha \left( {x_r } \right)}}
{r}} \right\| \geq \left\| A \right\| - \varepsilon - \left\| {\frac{{\alpha \left( {x_r } \right)}}
{r}} \right\|. \cr}
Thus, by Proposition 2.1 we conclude that
{\text{lip}}\,f\left( {x_0 } \right) = \mathop {\lim {\text{inf}}}\limits_{r \to 0^ + } {\text{Lip}}_ + ^r f\left( {x_0 } \right) \geq \mathop {\lim }\limits_{r \to 0^ + } \left( {\left\| A \right\| - \varepsilon - \left\| {\frac{{\alpha \left( {x_r } \right)}}
{r}} \right\|} \right) = \left\| A \right\| - \varepsilon .
Since the ε was chosen arbitrarily, the proof is finished.
4.Semicontinuity with respect to a family of sets
In this section we introduce some modification of semicontinuity, which will help us to classify the Lipschitz derivatives.
Let X be a topological space and 𝒜 be a family of subsets of X. We denote
\eqalign{
& {{\cal A}_c} = \left\{ {X\backslash A:A \in {\cal A}} \right\}, \cr
& {{\cal A}_\sigma } = \left\{ {\mathop \cup \limits_{n = 1}^\infty {A_n}:{A_n} \in {\cal A}\,\,{\rm{for\,\,\,all }}\,\,n\, \in {\rm{\mathbb N}}} \right\}, \cr
& {{\cal A}_\delta } = \left\{ {\mathop \cap \limits_{n = 1}^\infty {A_n}:{A_n} \in {\cal A}\,\,{\rm{for\,\,\,all }}\,\,n\, \in {\rm{\mathbb N}}} \right\}. \cr}
We will also combine these symbols. It is easy to check, for example, that 𝒜cδc = 𝒜σ, 𝒜σc = 𝒜cδ, 𝒜δc = 𝒜cσ and so on. If 𝒯 denotes the topology of X, then applying above notation to the family 𝒜 = 𝒯, the 𝒯δ is the familiar Borel class 𝒢δ of Gδ-subsets of X. Complementary, the family 𝒯cσ is the Borel class ℱσ of Fσ-subsets of X.
We say that
f:X \to \overline {{\rm{\mathbb R}}}
is an 𝒜-upper (𝒜-lower) semicontinuous function if f−1 ([−∞, γ)) ∈ 𝒜 (resp. f−1 ((γ, +∞]) ∈ 𝒜) for any γ ∈ ℝ. If 𝒜 = 𝒯 is the topology of X, then we omit the symbol 𝒜 in the previous definitions. For our purposes, the ℱσ-upper and lower semicontinuous functions are particularly important.
Proposition 4.1.
Let X be a topological space, 𝒜 ⊆ 2X and
f:X \to \overline {{\rm{\mathbb R}}}
be an A-upper semicontinuous function. Then
- (i)
f−1 ([γ, +∞]) ∈ 𝒜c for any γ ∈ ℝ;
- (ii)
f−1 [[−∞, +∞)] ∈ 𝒜σ and, so, f−1 [{+∞}] ∈𝒜σc;
- (iii)
f−1 [{−∞}] ∈ 𝒜δ and, so, f−1 ((−∞, +∞]) ∈𝒜δc;
- (iv)
f is 𝒜cσ-lower semicontinuous.
Proof.
- (i)
For any γ ∈ ℝ we have that f−1 ([−∞, γ)) ∈ 𝒜 and then
{f^{ - 1}}\left( {\left[ {\gamma ,\; + \infty } \right]} \right) = X\backslash {f^{ - 1}}\left( {\left[ { - \infty ,\;\gamma } \right)} \right) \in {{\cal A}_c}.
- (ii)
Since f−1 [[−∞, n)] ∈ 𝒜 for any n ∈ ℕ, we conclude that
{f^{ - 1}}\left[ {\left[ { - \infty ,\; + \infty } \right)} \right] = \mathop \cup \limits_{n = 1}^\infty {f^{ - 1}}\left[ {\left[ { - \infty ,\;n} \right)} \right] \in {{\cal A}_\sigma },
and so, f−1 [{+∞}] = X \ f−1 [[−∞, +∞)] ∈ 𝒜σ c.
- (iii)
Since f−1 [[−∞, −n)] ∈ 𝒜 for any n ∈ ℕ, we have that
{f^{ - 1}}\left[ {\left\{ { - \infty } \right\}} \right] = \mathop \cap \limits_{n = 1}^\infty {f^{ - 1}}\left[ {\left[ { - \infty ,\; - n} \right)} \right] \in {{\cal A}_\delta },
and so, f−1 [(−∞, +∞]] = X \ f−1 [{−∞}]∈ 𝒜δc.
- (iv)
Let γ ∈ ℝ and γn ↓ γ. Since f−1 [[γn, +∞]] ∈ 𝒜c by (i), we conclude that
{f^{ - 1}}\left[ {\left( {\gamma ,\; + \infty } \right]} \right] = \mathop \cup \limits_{n = 1}^\infty {f^{ - 1}}\left[ {\left[ {{\gamma _n},\; + \infty } \right]} \right] \in {{\cal A}_{c\sigma }},
i.e., f is 𝒜cσ-lower semicontinuous.
Proposition 4.2.
Let X be a topological space, 𝒜 ⊆ 2X,
f_n:X \to \overline {{\rm{\mathbb R}}}
,
be an 𝒜-upper semicontinuous function for any n ∈ ℕ and
f:X \to \overline {{\rm{\mathbb R}}}
be a function such that f(x) = supn∈ℕ fn(x) for any x ∈ X. Then f is an 𝒜cσ-lower semicontinuous function.
Proof.
Consider γ ∈ ℝ. By Proposition 4.1(iv) the functions fn are 𝒜cσ-lower semicontinuous. So,
f_n^{ - 1}\left[ {\left( {\gamma ,\; + \infty } \right]} \right] \in {{\cal A}_{c\sigma }}
for any n ∈ ℕ. Consequently,
{f^{ - 1}}\left[ {\left( {\gamma ,\; + \infty } \right]} \right] = \mathop \cup \limits_{n = 1}^\infty f_n^{ - 1}\left[ {\left( {\gamma ,\; + \infty } \right]} \right] \in {{\cal A}_{c\sigma }}.
Thus, f is an 𝒜cσ-lower semicontinuous function.
Observe that f is an 𝒜-upper semicontinuous function if and only if −f is 𝒜-lower semicontinuous. Therefore, using Proposition 4.1 and 4.2 with g = −f we obtain the following two propositions.
Proposition 4.3.
Let X be a topological space, 𝒜 ⊆ 2X and
f:X \to \overline {{\rm{\mathbb R}}}
be an 𝒜-lower semicontinuous function. Then
- (i)
f−1 [[−∞, γ]] ∈𝒜c for any γ ∈ ℝ;
- (ii)
f−1 [(−∞, +∞]] ∈ 𝒜σ and, so, f−1 [{−∞}] ∈ 𝒜σ c;
- (iii)
f−1 [{+∞}] ∈ 𝒜δ and, so, f−1 [[−∞, +∞)] ∈ 𝒜δc;
- (iv)
f is 𝒜cσ-upper semicontinuous.
Proposition 4.4.
Let X be a topological space, 𝒜 ⊆ 2X,
{f_n}:X \to \overline {{\rm{\mathbb R}}}
be an 𝒜-lower semicontinuous function for any n ∈ℕ and
f:X \to \overline {{\rm{\mathbb R}}}
be a function such that f(x) = infn∈ℕfn(x) for any x ∈ X. Then f is an 𝒜cσ-upper semicontinuous function.
5.Classification of the Lipschitz derivatives
Now we pass to the investigation of the type of semicontinuity of Lipschitz derivatives of continuous functions. In [3] semicontinuity of Lipschitz derivatives of a continuous function f : ℝ → ℝ was obtained from the continuity of Lipr f. But in the general situation, this function need not be continuous. Therefore, we prove semicontinuity of Lipschitz derivatives directly from the definitions.
Lemma 5.1.
Let X and Y be metric spaces, f : X → Y be a continuous function and r > 0. Then lipr f : X → [0, +∞] is an upper semicontinuous function.
Proof.
Let x0 ∈ X and γ > lipr f(x0). Then
{\rm{\;}}\mathop {{\rm{inf}}}\limits_{\varrho < r} {\rm{\;Li}}{{\rm{p}}^\varrho }f\left( {{x_0}} \right) = {\rm{1i}}{{\rm{p}}_r}f\left( {{x_0}} \right) < \gamma .
So, there is positive ϱ < r such that Lipϱ f(x0) < γ. Pick γ1 such that Lipϱ f(x0) < γ1 < γ. Then we choose ϱ1 such that
{{{\gamma _1}} \over \gamma }\varrho < {\varrho _1} < \varrho
. So, γϱ1 > γ1ϱ. Therefore,
{\rm{\;}}\mathop {{\rm{sup\;}}}\limits_{u \in B\left( {{x_0},\varrho } \right)} \;|f\left( u \right) - f\left( {{x_0}} \right){|_Y} = \varrho {\rm{Li}}{{\rm{p}}^\varrho }f\left( {{x_0}} \right) < {\gamma _1}\varrho .
Then
|f\left( u \right) - f\left( {{x_0}} \right){|_Y} < {\gamma _1}\varrho \,\,\,{\rm{for\,\,any}}\,\,\,u \in B\left( {{x_0},\;\varrho } \right).
By the continuity of f at x0 there exists δ> 0 such that ϱ1 + δ < ϱ and
|f\left( x \right) - f\left( {{x_0}} \right){|_Y} < \gamma {\varrho _1} - {\gamma _1}\varrho \,\,\,{\rm{for\,\,any }}x \in U = B\left( {{x_0},\;\delta } \right).
Consider x ∈ U and u ∈ B(x, ϱ1). Then
\left| {u - {x_0}{|_X} \le } \right|u - x{|_X} + |x - {x_0}{|_X} < {\varrho _1} + \delta < \varrho ,
and so, u ∈ B(x0, ϱ). Therefore,
\left| {f\left( u \right) - f\left( x \right){|_Y} \le } \right|f\left( u \right) - f\left( {{x_0}} \right){|_Y} + |f\left( {{x_0}} \right) - f\left( x \right){|_Y} < {\gamma _1}\varrho + \left( {\gamma {\varrho _1} - {\gamma _1}\varrho } \right) = \gamma {\varrho _1}.
Thus,
{1 \over {{\varrho _1}}}|f\left( u \right) - f\left( x \right){|_Y} \le \gamma
for any u ∈ B(x, ϱ1). Hence, Lipϱ1 f(x) ≤ γ. But 0 < ϱ1 < r. Therefore, lipr f(x) ≤ γ for any x ∈ U. Thus, lipr f is upper semicontinuous at x0.
Theorem 5.2.
Let X and Y be metric spaces and f : X → Y be a continuous function. Then lip f : X → [0, +∞] is a ℱσ-lower semicontinuous function.
Proof.
By (2.1) and (2.3) we conclude that
{\rm{lip}}\,f\left( x \right) = {\rm{su}}{{\rm{p}}_{n \in {\rm{\mathbb N}}}}\,{\rm{li}}{{\rm{p}}_{{1 \over n}}}f\left( x \right)
for any x ∈ X. By Lemma 5.1, the functions
{\rm{li}}{{\rm{p}}_{{1 \over n}}}f
are 𝒯-upper semicontinuous, where 𝒯 is the topology of X. Therefore, by Proposition 4.2 lip f is 𝒯cσ-lower semicontinuous. This means that lip f is ℱσ-lower semicontinuous.
Lemma 5.3.
Let X and Y be metric spaces, f : X → Y be a continuous function and r > 0. Then Lipr f : X → [0, +∞] is a lower semicontinuous function.
Proof.
Fix r > 0. Let x0 ∈ X and γ < Lipr f(x0). Then
{\rm{\;}}\mathop {{\rm{sup}}}\limits_{\varrho < r} {\rm{\;Li}}{{\rm{p}}^\varrho }f\left( {{x_0}} \right) = {\rm{Li}}{{\rm{p}}_r}f\left( {{x_0}} \right) > \gamma .
So, there is ϱ ∈ (0, r) such that Lipϱ f(x0) > γ. Pick γ1 such that
\gamma < {\gamma _1} < {\rm{Li}}{{\rm{p}}^\varrho }f\left( {{x_0}} \right).
Therefore,
{\rm{\;}}\mathop {{\rm{sup\;}}}\limits_{u \in B\left( {{x_0},\varrho } \right)} \;{\left| {f\left( u \right) - f\left( {{x_0}} \right)} \right|_Y} = \varrho {\rm{Li}}{{\rm{p}}^\varrho }f\left( {{x_0}} \right) > {\gamma _1}\varrho .
Thus, there is u ∈ B(x0, ϱ) with
{\left| {f\left( u \right) - f\left( {{x_0}} \right)} \right|_Y} > {\gamma _1}\varrho .
Then we choose ϱ1 such that
\varrho < {\varrho _1} < {\rm{\;min\;}}\left\{ {r,\;{{{\gamma _1}} \over \gamma }\varrho } \right\}
. Consequently, γϱ1 < γ1ϱ. By the continuity of f at x0 there exists δ > 0 such that ϱ + δ < ϱ1 and
|f\left( x \right) - f\left( {{x_0}} \right){|_Y} < {\gamma _1}\varrho - \gamma {\varrho _1}\,\,\,\,\,\,{\rm{for\,\,any }}x \in U: = B\left( {{x_0},\;\delta } \right).
Consider x ∈ U. Then
\left| {u - x{|_X} \le } \right|u - {x_0}{|_X} + |{x_0} - x{|_X} < \varrho + \delta < {\varrho _1},
and, so, u ∈ B(x, ϱ1). Consequently,
\left| {f\left( u \right) - f{{\left( x \right)}_Y}} \right| \ge {\left| {f\left( u \right) - f\left( {{x_0}} \right)} \right|_Y} - {\left| {f\left( x \right) - f\left( {{x_0}} \right)} \right|_Y} > {\gamma _1}\varrho - \left( {{\gamma _1}\varrho - \gamma {\varrho _1}} \right) = \gamma {\varrho _1}.
Hence, Lipϱ1 f(x) > γ. But 0 < ϱ1 < r. Therefore, Lipr f(x) > γ for any x ∈ U. Thus, Lipr f is lower semicontinuous at x0.
Theorem 5.4.
Let X and Y be metric spaces and f : X → Y be a continuous function. Then Lip f : X → [0, +∞] is a ℱσ-upper semicontinuous function.
Proof.
By (2.1) and (2.2) we conclude that
{\rm{Lip}}\,f\left( x \right) = {\rm{in}}{{\rm{f}}_{n \in {\rm{\mathbb N}}}}\,{\rm{Li}}{{\rm{p}}_{{1 \over n}}}f\left( x \right)
for any x ∈ X. By Lemma 5.3, the functions
{\rm{Li}}{{\rm{p}}_{{1 \over n}}}f
are 𝒯-lower semicontinuous where 𝒯 is the topology of X. Therefore, by Proposition 4.4 Lip f is 𝒯cσ-upper semicontinuous. This means that Lip f is ℱσ-upper semicontinuous.
Theorem 5.5.
Let X and Y be metric spaces and f : X → Y be a function. Then 𝕃ip f : X → [0, +∞] is an upper semicontinuous function.
Proof.
Fix x0 ∈ X and γ > 𝕃ip f(x0). Since
{\rm{{\mathbb L}ip}}\,f\left( {{x_0}} \right) = {\rm{\;}}\mathop {{\rm{inf}}}\limits_{r > 0} {\rm{\mathbb Lip}}{^{\rm{r}}}f\left( {{x_0}} \right)
, there exists r > 0 such that 𝕃ipr f(x0) < γ. Set
\varrho = {r \over 2}
and consider x ∈ B(x0, ϱ). Then B(x, ϱ) ⊆ B(x0, r). Consequently,
\eqalign{
& {\rm{{\mathbb L}ip}}\,f\left( x \right) \le {\rm{\mathbb L}}{{\rm{ip}}^\varrho }f\left( x \right) = {\rm{\;}}\mathop {{\rm{sup}}}\limits_{u \ne v \in B\left( {x,\varrho } \right)} {\rm{\;}}{1 \over {{{\left| {u - v} \right|}_X}}}|f\left( u \right) - f\left( v \right){|_Y} \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \le \;{\rm{\;}}\mathop {{\rm{sup}}}\limits_{u \ne v \in B\left( {{x_0},r} \right)} {\rm{\;}}\;{1 \over {{{\left| {u - v} \right|}_X}}}|f\left( u \right) - f\left( v \right){|_Y} = {\rm{\mathbb L}}{{\rm{ip}}^r}f\left( {{x_0}} \right) < \gamma \cr}
and, hence, 𝕃ip f is upper semicontinuous.
Theorems
5.2, 5.4, 5.5, and Propositions 4.1, 4.3 yield the following assertions.
Corollary 5.6.
Let X and Y be metric spaces and f : X → Y be a continuous function. Then
- (i)
ℓ(f) is a Gδσ-set;
- (ii)
ℓ∞(f) is an Fσδ-set;
- (iii)
L(f) is an Fσ-set;
- (iv)
L∞(f) is a Gδ-set.
Proof.
- (i)
We have
\eqalign{
& {\rm{\cal l}}\left( f \right) = \{ x \in X:{\rm{lip}}\,f\left( x \right) < \infty \} = {({\rm{lip}}\,f)^{ - 1}}[[ - \infty ,\; + \infty )] \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\, = X\backslash {({\rm{lip}}\,f)^{ - 1}}\left[ {\left\{ { + \infty } \right\}} \right] \cr}
and, since lip f is ℱσ-lower semicontinuous, by Proposition 4.3(iii)
{({\rm{lip}}\,f)^{ - 1}}\left[ {\left\{ { + \infty } \right\}} \right] \in {{\cal F}_{\sigma \delta }},
so ℓ(f) = X \ (lip f)−1 [{+∞}] ∈ 𝒢δ σ.
- (ii)
It follows immediately from (i).
- (iii)
It is easy to see, that
L\left( f \right) = \bigcup\nolimits_{k = 1}^\infty {{{({\rm{Lip}}\,f)}^{ - 1}}[[0,k)]}
. Since Lip f is an ℱσ-upper semicontinuous function, each set (Lip f)−1[[0, k)] is of Fσ type, hence L(f) is an Fσ-set as a countable sum of Fσ-sets.
- (iv)
It follows from (iii).
Corollary 5.7.
Let X and Y be metric spaces and f : X → Y be an arbitrary function. Then
- (i)
𝕃(f) is an open set;
- (ii)
𝕃∞(f) is a closed set.
6.Characterization of Lipschitz functions on a convex subset of a normed space
The following lemma was applied by Buczolich, Hanson, Maga and Vértesy in certain investigations of Lipschitz derivatives of the real functions of real variable.
Lemma 6.1 ([
2, Lemma 2.2])
If E ⊆ ℝ and f : ℝ → ℝ such that lip f ≤ χE then |f(a) − f(b)| ≤ µ([a, b] ∩ E) for every a, b ∈ ℝ (where a < b) so, f is Lipschitz and hence absolutely continuous.
In the above, µ denotes the Lebesgue measure. We will state the following
Corollary 6.2.
Let γ > 0 and f : [0, 1] → ℝ be a function such that lip f(x) ≤ γ for any x ∈ [0, 1]. Then f is γ-Lipschitz.
Proof.
Extend f to
\tilde f:{\rm{\mathbb R}} \to {\rm{\mathbb R}}
by
\tilde f\left( x \right) = f\left( 0 \right)
if x < 0 and
\tilde f\left( x \right) = f\left( 1 \right)
if x > 1. Let
g = {1 \over \gamma }\tilde f
and E = [0, 1]. Then by Lemma 6.1 we conclude that
{1 \over \gamma }\left| {f\left( x \right) - f\left( y \right)} \right| = \left| {g\left( x \right) - g\left( y \right)} \right| \le \mu \left( {\left[ {x,\;y} \right] \cap E} \right) = \left| {x - y} \right|
for any x, y ∈ [0, 1].
The next result will allow us to apply Lemma 6.1 and Corollary 6.2 for functions defined on normed spaces.
Lemma 6.3.
Let A be a convex subset of the normed space X, f : X → ℝ be a function, and a, b ∈ A. Moreover, let T : [0, 1] → A be an affine function given by T (u) = a + u(b − a) for 0 ≤ u ≤ 1 and g = f ◦ T : [0, 1] → ℝ. Then,
(6.1)
{\text{lip}}\,g \leq \,\left\| {b - a} \right\|\left( {\left( {{\text{lip}}\,f} \right) \circ T} \right).
Proof.
It is enough to consider the case where a ≠ b. Fix u0∈ [0, 1] and observe, that
(6.2)
\left\| {T\left( u \right) - T\left( {u_0 } \right)} \right\| = \left\| {\left( {u - u_0 } \right)\left( {b - a} \right)} \right\| = \left| {u - u_0 } \right|\left\| {b - a} \right\|,\,\,\,\,\,0 \leq u \leq 1.
We have
(6.3)
{\rm{lip}}\,g\left( {{u_0}} \right) = \mathop {\lim {\rm{inf}}}\limits_{r \to {0^ + }} \mathop {{\rm{\;sup}}}\limits_{0 < \left| {u - {u_0}} \right| < r} {{\left| {f\left( {T\left( u \right)} \right) - f\left( {T\left( {{u_0}} \right)} \right)} \right|} \over r}.
Put x0 = T (u0). Substituting ϱ = r ∥b − a∥ and x = T (u) in (6.3) and taking into account (6.2) we obtain that
\eqalign{
& {\text{lip}}\,g\left( {u_0 } \right) = \mathop {\lim {\text{inf}}}\limits_{\varrho \to 0^ + } \mathop {{\text{sup}}}\limits_{0 < \left| {u - u_0 } \right| < \frac{\varrho }
{{\left\| {b - a} \right\|}}} {\text{}}\frac{{\left| {f\left( {T\left( u \right)} \right) - f\left( {T\left( {u_0 } \right)} \right)} \right|}}
{{\varrho /\left\| {b - a} \right\|}} \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, = \left\| {b - a} \right\|\mathop {\lim {\text{inf}}}\limits_{\varrho \to 0^ + } {\text{}}\mathop {{\text{}}\mathop {{\text{sup}}}\limits_{0 < \left\| {x - x_0 } \right\| < \varrho } }\limits_{x \in T\left[ {\left[ {0,1} \right]} \right]} {\text{}}\frac{{\left| {f\left( x \right) - f\left( {x_0 } \right)} \right|}}
{\varrho } \cr
&\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \leq \left\| {b - a} \right\|\mathop {\lim {\text{inf}}}\limits_{\varrho \to 0 + } \mathop {{\text{sup}}}\limits_{0 < \left\| {x - x_0 } \right\| < \varrho } \frac{{\left| {f\left( x \right) - f\left( {x_0 } \right)} \right|}}
{\varrho } \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, = b - a{\text{lip}}\,f\left( {x_0 } \right). \cr}
As
\left( {\left( {{\text{lip}}\,f} \right) \circ T} \right)b - a = \left( {\left( {{\text{lip}}\,f} \right) \circ T} \right) \cdot \left\| {\frac{{dT}}
{{du}}} \right\|
, the right side of inequality (6.1) is reminiscent of the “chain rule” for the usual derivative. Nevertheless, the inequality can be strict. To see that, take a function f : ℝ2 → ℝ defined as f(x, y) = y, (x, y) ∈ ℝ2 and consider the usual distance on ℝ2. By Theorem 3.2 we have,
{\text{lip }}f\left( {x,y} \right) = \left\| {df\left( {x,y} \right)} \right\| = \sqrt {\left( {\frac{{\partial f}}
{{\partial x}}\left( {x,y} \right)} \right)^2 + \left( {\frac{{\partial f}}
{{\partial y}}\left( {x,y} \right)} \right)^2 } = 1
. Let a = (0, 0), b = (1, 0), T (u) = a + (b − a)u = (u, 0), u ∈ [0, 1] and g = f ◦ T. Therefore, g(u) = f(u, 0) = 0 and so, lip g(u) = 0 < 1 = ∥b − a∥ lip f(T (u)) for any u.
Theorem 6.4.
Let D be a convex subset of a normed space X, f : D → ℝ be a function and γ ≥ 0. Then f is γ-Lipschitz if and only if lip f(x) ≤ γ for any x ∈ D.
Proof.
Fix a, b ∈ D. Define T : [0, 1] → D as
T\left( u \right) = a + u\left( {b - a} \right)\,\,\,{\rm{for}}\,\,\,\,u \in \left[ {0,1} \right]
and put g = f ◦ T : [0, 1] → ℝ. Applying Lemma 6.3 we get
{\text{lip}}\,g\left( u \right) \leqslant \,\left\| {b - a} \right\|{\text{lip}}\,f\left( {T\left( u \right)} \right) \leq \,\left\| {b - a} \right\|\gamma ,
for any u ∈ [0, 1]. Therefore, Corollary 6.2 implies that g is Lipschitz with the constant γ1 = ∥b − a∥ γ. Thus,
\left| {f\left( a \right) - f\left( b \right)} \right| = \left| {g\left( 0 \right) - g\left( 1 \right)} \right| \leq \gamma _1 \left| {0 - 1} \right| = \gamma \left\| {a - b} \right\|.
So, f is γ-Lipschitz on D.
By ∥·∥∞ we denote standard norm on space of bounded real functions B(D) defined on a set D, i.e.,
\left\| h \right\|_\infty = \mathop {{\text{sup}}}\limits_{x \in D} {\text{}}\left| {h\left( x \right)} \right|
for any h: D → ℝ.
Corollary 6.5.
Let f : D → ℝ be a continuous function, where D is a convex subset of some normed space X. Then, ∥f∥lip = ∥lip f∥∞.
Proof.
We simply check, that if ∥f∥lip < ∞ or ∥lip f∥∞ < ∞, then
\eqalign{ & \left\| f \right\|_{{\text{lip}}} = {\text{inf}}\,\left\{ {\gamma > 0:f\,{\text{is}}\,\,\gamma {\text{ - Lipschitz}}} \right\} \cr & \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, = {\text{inf}}\,\left\{ {\gamma > 0:{\text{lip}}\,f\left( x \right) \leq \gamma \,\,\,{\text{for}}\,{\text{any}}\,\,\,x \in D} \right\} \cr & \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, = {\text{}}\mathop {{\text{sup}}}\limits_{x \in D} {\text{lip}}\,f\left( x \right) = \left\| {{\text{lip}}\,f} \right\|_\infty , \cr}
where the second equality follows from Theorem 6.4.
Therefore, lip is an isometric injection of the normed space Lipa(D, ℝ) with some a ∈ X, into the space B(D).
7.Baire limit functions of Lipschitz derivatives
For a given function
f:X \to \overline {{\rm{\mathbb R}}}
, defined on a metric space X, its upper Baire function f∨ is defined by
{f^ \vee }\left( x \right) = \;\mathop {{\rm{inf}}}\limits_{U \in {\cal U}(x)} {\rm{\;}}\mathop {{\rm{sup}}}\limits_{u \in U} {\rm{\;}}f\left( u \right)\;,\;\,\,\,\,x \in X,
and its lower Baire function f∧ is defined by
{f^ \wedge \left( x \right) = \mathop {{\text{sup}}}\limits_{U \in \mathcal{U}(x)} \,\mathop {\inf }\limits_{{u \in U} } f\left( u \right),\,\,\,\,\,x \in X,
}
where 𝒰 (x) is the family of all the neighborhoods of x in X. (See, for example, [10].) The upper Baire function f∨ is upper semicontinuous and the lower Baire function f∧ is lower semicontinuous.
A subset D of a normed space X is called locally convex if for any point x ∈ D and any neighborhood U of x in D there is a convex neighborhood V of x in D such that V ⊆ U. For example, every convex set and every open set in X is locally convex.
Theorem 7.1.
Let D be a locally convex subset of a normed space X and let f : D → ℝ be a function. Then
{({\rm{lip}}\,f)^ \vee } = {({\rm{Lip}}\,f)^ \vee } = {\rm{{\mathbb L}ip}}\,f.
Proof.
Since lip f ≤ Lip f ≤ 𝕃ip f and 𝕃ip f is upper semicontinuous by Theorem 5.5, we have
{({\rm{lip}}\,f)^ \vee } \le \,{({\rm{Lip}}\,f)^ \vee } \le {({\rm{{\mathbb L}ip }}f)^ \vee } = {\rm{{\mathbb L}ip}}\,f.
Therefore, it is enough to prove that 𝕃ip f ≤ (lip f)∨. Fix x0 ∈ D. The case where (lip f)∨(x0) = ∞ is obvious. So, we suppose that (lip f)∨(x0) < ∞. Let γ > (lip f)∨(x0). Then, there exists a convex neighborhood U of x0, such that
{\rm{lip}}\,f\left( x \right) < \gamma \,\,\,{\rm{for\,\,any}}\,x \in U.
By Theorem 6.4, the function f is γ-Lipschitz on U. Hence,
\eqalign{ & {\rm{ {\mathbb L}ip }}f\left( {x_0 } \right) = {\text{}}\mathop {{\text{inf}}}\limits_{r > 0} \left\| {{\text{}}f|_{B\left( {x_0 ,r} \right)} } \right\|_{{\text{lip}}} \cr
& \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \leq \left\| {f|_U } \right\|_{{\text{lip}}} \leq \gamma , \cr}
where B (x0, r) means the ball in the metric subspace D. Passing to the limit with γ → (lip f)∨(x0) we obtain the desired inequality.