In
mathematics
Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, the notion of an (exact) dimension function (also known as a gauge function) is a tool in the study of
fractal
In mathematics, a fractal is a Shape, geometric shape containing detailed structure at arbitrarily small scales, usually having a fractal dimension strictly exceeding the topological dimension. Many fractals appear similar at various scale ...
s and other subsets of
metric space
In mathematics, a metric space is a Set (mathematics), set together with a notion of ''distance'' between its Element (mathematics), elements, usually called point (geometry), points. The distance is measured by a function (mathematics), functi ...
s. Dimension functions are a generalisation of the simple "
diameter
In geometry, a diameter of a circle is any straight line segment that passes through the centre of the circle and whose endpoints lie on the circle. It can also be defined as the longest Chord (geometry), chord of the circle. Both definitions a ...
to the
dimension
In physics and mathematics, the dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates needed to specify any point within it. Thus, a line has a dimension of one (1D) because only one coo ...
"
power law
In statistics, a power law is a Function (mathematics), functional relationship between two quantities, where a Relative change and difference, relative change in one quantity results in a relative change in the other quantity proportional to the ...
used in the construction of ''s''-dimensional
Hausdorff measure
In mathematics, Hausdorff measure is a generalization of the traditional notions of area and volume to non-integer dimensions, specifically fractals and their Hausdorff dimensions. It is a type of outer measure, named for Felix Hausdorff, that assi ...
.
Motivation: ''s''-dimensional Hausdorff measure
Consider a metric space (''X'', ''d'') and a
subset
In mathematics, a Set (mathematics), set ''A'' is a subset of a set ''B'' if all Element (mathematics), elements of ''A'' are also elements of ''B''; ''B'' is then a superset of ''A''. It is possible for ''A'' and ''B'' to be equal; if they a ...
''E'' of ''X''. Given a number ''s'' ≥ 0, the ''s''-dimensional Hausdorff measure of ''E'', denoted ''μ''
''s''(''E''), is defined by
:
where
:
''μ''
''δ''''s''(''E'') can be thought of as an approximation to the "true" ''s''-dimensional area/volume of ''E'' given by calculating the minimal ''s''-dimensional area/volume of a covering of ''E'' by sets of diameter at most ''δ''.
As a function of increasing ''s'', ''μ''
''s''(''E'') is non-increasing. In fact, for all values of ''s'', except possibly one, ''H''
''s''(''E'') is either 0 or +∞; this exceptional value is called the Hausdorff dimension of ''E'', here denoted dim
H(''E''). Intuitively speaking, ''μ''
''s''(''E'') = +∞ for ''s'' < dim
H(''E'') for the same reason as the 1-dimensional linear
length
Length is a measure of distance. In the International System of Quantities, length is a quantity with Dimension (physical quantity), dimension distance. In most systems of measurement a Base unit (measurement), base unit for length is chosen, ...
of a 2-dimensional
disc in the
Euclidean plane
In mathematics, a Euclidean plane is a Euclidean space of Two-dimensional space, dimension two, denoted \textbf^2 or \mathbb^2. It is a geometric space in which two real numbers are required to determine the position (geometry), position of eac ...
is +∞; likewise, ''μ''
''s''(''E'') = 0 for ''s'' > dim
H(''E'') for the same reason as the 3-dimensional
volume
Volume is a measure of regions in three-dimensional space. It is often quantified numerically using SI derived units (such as the cubic metre and litre) or by various imperial or US customary units (such as the gallon, quart, cubic inch) ...
of a disc in the Euclidean plane is zero.
The idea of a dimension function is to use different functions of diameter than just diam(''C'')
''s'' for some ''s'', and to look for the same property of the Hausdorff measure being finite and non-zero.
Definition
Let (''X'', ''d'') be a metric space and ''E'' ⊆ ''X''. Let ''h'' :
, +∞) → [0, +∞be a function. Define ''μ''
''h''(''E'') by
:
where
:
Then ''h'' is called an (exact) dimension function (or gauge function) for ''E'' if ''μ''
''h''(''E'') is finite and strictly positive. There are many conventions as to the properties that ''h'' should have: Rogers (1998), for example, requires that ''h'' should be
monotonically increasing
In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. This concept first arose in calculus, and was later generalized to the more abstract setting of orde ...
for ''t'' ≥ 0, strictly positive for ''t'' > 0, and continuous function">continuous
Continuity or continuous may refer to:
Mathematics
* Continuity (mathematics), the opposing concept to discreteness; common examples include
** Continuous probability distribution or random variable in probability and statistics
** Continuous ...
on the right for all ''t'' ≥ 0.
Packing dimension is constructed in a very similar way to Hausdorff dimension, except that one "packs" ''E'' from inside with disjoint sets, pairwise disjoint balls of diameter at most ''δ''. Just as before, one can consider functions ''h'' :
and call ''h'' an exact dimension function for ''E'' if the ''h''-packing measure of ''E'' is finite and strictly positive.
Almost surely, a sample path ''X'' of Brownian motion in the Euclidean plane has Hausdorff dimension equal to 2, but the 2-dimensional Hausdorff measure ''μ''
(''X'') is zero. The exact dimension function ''h'' is given by the
. For Brownian motion in Euclidean ''n''-space R
*
* {{cite book
, author = Rogers, C. A.
, title = Hausdorff measures
, edition = Third
, series = Cambridge Mathematical Library
, publisher = Cambridge University Press
, location = Cambridge
, year = 1998
, pages = xxx+195
, isbn = 0-521-62491-6