In mathematics, the modulus of convexity and the characteristic of convexity are measures of "how convex" the unit ball in a Banach space is. In some sense, the modulus of convexity has the same relationship to the ε-δ definition of uniform convexity as the modulus of continuity does to the ε-δ definition of continuity.
Definitions
The modulus of convexity of a Banach space (X, ||⋅||) is the function δ : [0, 2] → [0, 1] defined by
-
δ
(
ε
)
=
inf
{
1
−
‖
x
+
y
2
‖
:
x
,
y
∈
S
,
‖
x
−
y
‖
≥
ε
}
,
{\displaystyle \delta (\varepsilon )=\inf \left\{1-\left\|{\frac {x+y}{2}}\right\|\,:\,x,y\in S,\|x-y\|\geq \varepsilon \right\},}
where S denotes the unit sphere of (X, || ||). In the definition of δ(ε), one can as well take the infimum over all vectors x, y in X such that ǁxǁ, ǁyǁ ≤ 1 and ǁx − yǁ ≥ ε.[1]
The characteristic of convexity of the space (X, || ||) is the number ε0 defined by
-
ε
0
=
sup
{
ε
:
δ
(
ε
)
=
0
}
.
{\displaystyle \varepsilon _{0}=\sup\{\varepsilon \,:\,\delta (\varepsilon )=0\}.}
These notions are implicit in the general study of uniform convexity by J. A. Clarkson (Clarkson (1936); this is the same paper containing the statements of Clarkson's inequalities). The term "modulus of convexity" appears to be due to M. M. Day.[2]
Properties
- The modulus of convexity, δ(ε), is a non-decreasing function of ε, and the quotient δ(ε) / ε is also non-decreasing on (0, 2].[3] The modulus of convexity need not itself be a convex function of ε.[4] However, the modulus of convexity is equivalent to a convex function in the following sense:[5] there exists a convex function δ1(ε) such that
-
δ
(
ε
/
2
)
≤
δ
1
(
ε
)
≤
δ
(
ε
)
,
ε
∈
[
0
,
2
]
.
{\displaystyle \delta (\varepsilon /2)\leq \delta _{1}(\varepsilon )\leq \delta (\varepsilon ),\quad \varepsilon \in [0,2].}
-
δ
(
ε
/
2
)
≤
δ
1
(
ε
)
≤
δ
(
ε
)
,
ε
∈
[
0
,
2
]
.
{\displaystyle \delta (\varepsilon /2)\leq \delta _{1}(\varepsilon )\leq \delta (\varepsilon ),\quad \varepsilon \in [0,2].}
- The normed space (X, ǁ ⋅ ǁ) is uniformly convex if and only if δ(ε) > 0 for every ε > 0.
- The Banach space (X, ǁ ⋅ ǁ) is a strictly convex space (i.e., the boundary of the unit ball B contains no line segments) if and only if δ(2) = 1, i.e., if only antipodal points (of the form x and y = −x) of the unit sphere can have distance equal to 2.
- When X is uniformly convex, it admits an equivalent norm with power type modulus of convexity.[6] Namely, there exists q ≥ 2 and a constant c > 0 such that
-
δ
(
ε
)
≥
c
ε
q
,
ε
∈
[
0
,
2
]
.
{\displaystyle \delta (\varepsilon )\geq c\,\varepsilon ^{q},\quad \varepsilon \in [0,2].}
-
δ
(
ε
)
≥
c
ε
q
,
ε
∈
[
0
,
2
]
.
{\displaystyle \delta (\varepsilon )\geq c\,\varepsilon ^{q},\quad \varepsilon \in [0,2].}
Modulus of convexity of the LP spaces
The modulus of convexity is known for the LP spaces.[7] If
1
<
p
≤
2
{\displaystyle 1<p\leq 2}
, then it satisfies the following implicit equation:
-
(
1
−
δ
p
(
ε
)
+
ε
2
)
p
+
(
1
−
δ
p
(
ε
)
−
ε
2
)
p
=
2.
{\displaystyle \left(1-\delta _{p}(\varepsilon )+{\frac {\varepsilon }{2}}\right)^{p}+\left(1-\delta _{p}(\varepsilon )-{\frac {\varepsilon }{2}}\right)^{p}=2.}
Knowing that
δ
p
(
ε
+
)
=
0
,
{\displaystyle \delta _{p}(\varepsilon +)=0,}
one can suppose that
δ
p
(
ε
)
=
a
0
ε
+
a
1
ε
2
+
⋯
{\displaystyle \delta _{p}(\varepsilon )=a_{0}\varepsilon +a_{1}\varepsilon ^{2}+\cdots }
. Substituting this into the above, and expanding the left-hand-side as a Taylor series around
ε
=
0
{\displaystyle \varepsilon =0}
, one can calculate the
a
i
{\displaystyle a_{i}}
coefficients:
-
δ
p
(
ε
)
=
p
−
1
8
ε
2
+
1
384
(
3
−
10
p
+
9
p
2
−
2
p
3
)
ε
4
+
⋯
.
{\displaystyle \delta _{p}(\varepsilon )={\frac {p-1}{8}}\varepsilon ^{2}+{\frac {1}{384}}(3-10p+9p^{2}-2p^{3})\varepsilon ^{4}+\cdots .}
For
2
<
p
<
∞
{\displaystyle 2<p<\infty }
, one has the explicit expression
-
δ
p
(
ε
)
=
1
−
(
1
−
(
ε
2
)
p
)
1
p
.
{\displaystyle \delta _{p}(\varepsilon )=1-\left(1-\left({\frac {\varepsilon }{2}}\right)^{p}\right)^{\frac {1}{p}}.}
Therefore,
δ
p
(
ε
)
=
1
p
2
p
ε
p
+
⋯
{\displaystyle \delta _{p}(\varepsilon )={\frac {1}{p2^{p}}}\varepsilon ^{p}+\cdots }
.
See also
Notes
- p. 60 in Lindenstrauss & Tzafriri (1979).
- Day, Mahlon (1944), "Uniform convexity in factor and conjugate spaces", Annals of Mathematics, 2, 45 (2): 375–385, doi:10.2307/1969275, JSTOR 1969275
- Lemma 1.e.8, p. 66 in Lindenstrauss & Tzafriri (1979).
- see Remarks, p. 67 in Lindenstrauss & Tzafriri (1979).
- see Proposition 1.e.6, p. 65 and Lemma 1.e.7, 1.e.8, p. 66 in Lindenstrauss & Tzafriri (1979).
- see Pisier, Gilles (1975), "Martingales with values in uniformly convex spaces", Israel Journal of Mathematics, 20 (3–4): 326–350, doi:10.1007/BF02760337, MR 0394135, S2CID 120947324 .
- Hanner, Olof (1955), "On the uniform convexity of
L
p
{\displaystyle L^{p}}
and ℓ p {\displaystyle \ell ^{p}}
", Arkiv för Matematik, 3: 239–244, doi:10.1007/BF02589410
References
- Beauzamy, Bernard (1985) [1982]. Introduction to Banach Spaces and their Geometry (Second revised ed.). North-Holland. ISBN 0-444-86416-4. MR 0889253.
- Clarkson, James (1936), "Uniformly convex spaces", Transactions of the American Mathematical Society, 40 (3), American Mathematical Society: 396–414, doi:10.2307/1989630, JSTOR 1989630
- Fuster, Enrique Llorens. Some moduli and constants related to metric fixed point theory. Handbook of metric fixed point theory, 133–175, Kluwer Acad. Publ., Dordrecht, 2001. MR 1904276
- Lindenstrauss, Joram and Benyamini, Yoav. Geometric nonlinear functional analysis Colloquium publications, 48. American Mathematical Society.
- Lindenstrauss, Joram; Tzafriri, Lior (1979), Classical Banach spaces. II. Function spaces, Ergebnisse der Mathematik und ihrer Grenzgebiete [Results in Mathematics and Related Areas], vol. 97, Berlin-New York: Springer-Verlag, pp. x+243, ISBN 3-540-08888-1.
- Vitali D. Milman. Geometric theory of Banach spaces II. Geometry of the unit sphere. Uspechi Mat. Nauk, vol. 26, no. 6, 73–149, 1971; Russian Math. Surveys, v. 26 6, 80–159.