In mathematics, an infinite-dimensional Lebesgue measure is a
measure defined on infinite-dimensional
normed vector spaces, such as
Banach spaces, which resembles the
Lebesgue measure
In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of higher dimensional Euclidean '-spaces. For lower dimensions or , it c ...
used in finite-dimensional spaces.
However, the traditional Lebesgue measure cannot be straightforwardly extended to all infinite-dimensional spaces due to a key limitation: any translation-invariant
Borel measure
In mathematics, specifically in measure theory, a Borel measure on a topological space is a measure that is defined on all open sets (and thus on all Borel sets). Some authors require additional restrictions on the measure, as described below.
...
on an infinite-dimensional
separable Banach space must be either infinite for all sets or zero for all sets. Despite this, certain forms of infinite-dimensional Lebesgue-like measures can exist in specific contexts. These include non-separable spaces like the
Hilbert cube, or scenarios where some typical properties of finite-dimensional Lebesgue measures are modified or omitted.
Motivation
The Lebesgue measure
on the
Euclidean space
Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
is
locally finite,
strictly positive, and
translation-invariant. That is:
* every point
in
has an open neighborhood
with finite measure:
* every non-empty open subset
of
has positive measure:
and
* if
is any Lebesgue-measurable subset of
and
is a vector in
then all translates of
have the same measure:
Motivated by their geometrical significance, constructing measures satisfying the above set properties for infinite-dimensional spaces such as the
spaces or
path spaces is still an open and active area of research.
Non-existence theorem in separable Banach spaces
Let
be an infinite-dimensional,
separable Banach space. Then, the only locally finite and translation invariant
Borel measure
In mathematics, specifically in measure theory, a Borel measure on a topological space is a measure that is defined on all open sets (and thus on all Borel sets). Some authors require additional restrictions on the measure, as described below.
...
on
is a
trivial measure. Equivalently, there is no locally finite, strictly positive, and translation invariant measure on
.
Statemant for non locally compact Polish groups
More generally: on a non locally compact
Polish group , there cannot exist a
σ-finite and
left-invariant Borel measure.
This theorem implies that on an infinite dimensional separable Banach space (which cannot be
locally compact) a measure that perfectly matches the properties of a finite dimensional Lebesgue measure does not exist.
Proof
Let
be an infinite-dimensional, separable Banach space equipped with a locally finite translation-invariant measure
. To prove that
is the trivial measure, it is sufficient and necessary to show that
Like every separable
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 ...
,
is a
Lindelöf space, which means that every open cover of
has a countable subcover. It is, therefore, enough to show that there exists some open cover of
by null sets because by choosing a countable subcover, the
σ-subadditivity of
will imply that
Using local finiteness of the measure
, suppose that for some
the
open ball of radius
has a finite
-measure. Since
is infinite-dimensional, by
Riesz's lemma there is an infinite sequence of
pairwise disjoint
In set theory in mathematics and Logic#Formal logic, formal logic, two Set (mathematics), sets are said to be disjoint sets if they have no element (mathematics), element in common. Equivalently, two disjoint sets are sets whose intersection (se ...
open balls
, of radius
with all the smaller balls
contained within
By translation invariance, all the cover's balls have the same
-measure, and since the infinite sum of these finite
-measures are finite, the cover's balls must all have
-measure zero.
Since
was arbitrary, every open ball in
has zero
-measure, and taking a cover of
which is the set of all open balls that completes the proof that
.
Nontrivial measures
Here are some examples of infinite-dimensional Lebesgue measures that can exist if the conditions of the above theorem are relaxed.
One example for an entirely separable Banach space is the
abstract Wiener space construction, similar to a product of Gaussian measures (which are not translation invariant). Another approach is to consider a Lebesgue measure of finite-dimensional subspaces within the larger space and look at
prevalent and shy sets.
The
Hilbert cube carries the
product Lebesgue measure and the compact
topological group
In mathematics, topological groups are the combination of groups and topological spaces, i.e. they are groups and topological spaces at the same time, such that the continuity condition for the group operations connects these two structures ...
given by the
Tychonoff product of an infinite number of copies of the
circle group is infinite-dimensional and carries a
Haar measure
In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups.
This Measure (mathematics), measure was introduced by Alfr� ...
that is translation-invariant. These two spaces can be mapped onto each other in a measure-preserving way by unwrapping the circles into intervals. The infinite product of the additive real numbers has the analogous product Haar measure, which is precisely the infinite-dimensional analog of the Lebesgue measure.
See also
*
*
*
*
**
*
*
References
{{Functional analysis
Articles containing proofs
Banach spaces
Measure theory
Theorems in measure theory
Theorems in mathematical analysis