Null set

In mathematical analysis, a null set ${\displaystyle N\subset \mathbb {R} }$ is a set that can be covered by a countable union of intervals of arbitrarily small total length. The notion of null set in set theory anticipates the development of Lebesgue measure since a null set necessarily has measure zero. More generally, on a given measure space ${\displaystyle M=(X,\Sigma ,\mu )}$ a null set is a set ${\displaystyle S\subset X}$ such that ${\displaystyle \mu (S)=0}$.

Example

Every countable subset of the real numbers (i.e. finite or countably infinite) is null. For example, the set of natural numbers is countable, having cardinality ${\displaystyle \aleph _{0}}$ (aleph-zero or aleph-null), is null. Another example is the set of rational numbers, which is also countable, and hence null.

However, there are some uncountable sets, such as the Cantor set, that are null.

Definition

Suppose ${\displaystyle A}$ is a subset of the real line ${\displaystyle \mathbb {R} }$ such that

${\displaystyle \forall \varepsilon >0,\ \exists \left\{U_{n}\right\}_{n}:U_{n}=(a_{n},b_{n})\subset \mathbb {R}$ :\quad A\subset \bigcup _{n=1}^{\infty }U_{n}\ \land \ \sum _{n=1}^{\infty }\left|U_{n}\right|<\varepsilon \,,}

where the U_n are intervals and |U| is the length of U, then A is a null set,[1] also known as a set of zero-content.

In terminology of mathematical analysis, this definition requires that there be a sequence of open covers of A for which the limit of the lengths of the covers is zero.

Null sets include all finite sets, all countable sets, and even some uncountable sets such as the Cantor set.

Properties

The empty set is always a null set. More generally, any countable union of null sets is null. Any measurable subset of a null set is itself a null set. Together, these facts show that the m-null sets of X form a sigma-ideal on X. Similarly, the measurable m-null sets form a sigma-ideal of the sigma-algebra of measurable sets. Thus, null sets may be interpreted as negligible sets, defining a notion of almost everywhere.

Lebesgue measure

The Lebesgue measure is the standard way of assigning a length, area or volume to subsets of Euclidean space.

A subset N of ${\displaystyle \mathbb {R} }$ has null Lebesgue measure and is considered to be a null set in ${\displaystyle \mathbb {R} }$ if and only if:

Given any positive number ε, there is a sequence {I_n} of intervals in ${\displaystyle \mathbb {R} }$ such that N is contained in the union of the {I_n} and the total length of the union is less than ε.

This condition can be generalised to ${\displaystyle \mathbb {R} ^{n}}$, using n-cubes instead of intervals. In fact, the idea can be made to make sense on any Riemannian manifold, even if there is no Lebesgue measure there.

For instance:

• With respect to ${\displaystyle \mathbb {R} ^{n}}$, all 1-point sets are null, and therefore all countable sets are null. In particular, the set Q of rational numbers is a null set, despite being dense in ${\displaystyle \mathbb {R} }$.
• The standard construction of the Cantor set is an example of a null uncountable set in ${\displaystyle \mathbb {R} }$; however other constructions are possible which assign the Cantor set any measure whatsoever.
• All the subsets of ${\displaystyle \mathbb {R} ^{n}}$ whose dimension is smaller than n have null Lebesgue measure in ${\displaystyle \mathbb {R} ^{n}}$. For instance straight lines or circles are null sets in ${\displaystyle \mathbb {R} ^{2}}$.
• Sard's lemma: the set of critical values of a smooth function has measure zero.

If λ is Lebesgue measure for ${\displaystyle \mathbb {R} }$ and π is Lebesgue measure for ${\displaystyle \mathbb {R} ^{2}}$, then the product measure ${\displaystyle \lambda \times \lambda =\pi }$. In terms of null sets, the following equivalence has been styled a Fubini's theorem:[2]

• For ${\displaystyle A\subset \mathbb {R} ^{2}}$ and ${\displaystyle A_{x}=\{y:(x,y)\in A\},}$

  ${\displaystyle \pi (A)=0\iff \lambda \left(\left\{x:\lambda \left(A_{x}\right)>0\right\}\right)=0.}$

Uses

Null sets play a key role in the definition of the Lebesgue integral: if functions f and g are equal except on a null set, then f is integrable if and only if g is, and their integrals are equal. This motivates the formal definition of L^p spaces as sets of equivalence classes of functions which differ only on null sets.

A measure in which all subsets of null sets are measurable is complete. Any non-complete measure can be completed to form a complete measure by asserting that subsets of null sets have measure zero. Lebesgue measure is an example of a complete measure; in some constructions, it is defined as the completion of a non-complete Borel measure.

A subset of the Cantor set which is not Borel measurable

The Borel measure is not complete. One simple construction is to start with the standard Cantor set K, which is closed hence Borel measurable, and which has measure zero, and to find a subset F of K which is not Borel measurable. (Since the Lebesgue measure is complete, this F is of course Lebesgue measurable.)

First, we have to know that every set of positive measure contains a nonmeasurable subset. Let f be the Cantor function, a continuous function which is locally constant on K^c, and monotonically increasing on [0, 1], with f(0) = 0 and f(1) = 1. Obviously, f(K^c) is countable, since it contains one point per component of K^c. Hence f(K^c) has measure zero, so f(K) has measure one. We need a strictly monotonic function, so consider g(x) = f(x) + x. Since g(x) is strictly monotonic and continuous, it is a homeomorphism. Furthermore, g(K) has measure one. Let E ⊂ g(K) be non-measurable, and let F = g⁻¹(E). Because g is injective, we have that F ⊂ K, and so F is a null set. However, if it were Borel measurable, then g(F) would also be Borel measurable (here we use the fact that the preimage of a Borel set by a continuous function is measurable; g(F) = (g⁻¹)⁻¹(F) is the preimage of F through the continuous function h = g⁻¹.) Therefore, F is a null, but non-Borel measurable set.

Haar null

In a separable Banach space (X, +), the group operation moves any subset A ⊂ X to the translates A + x for any x ∈ X. When there is a probability measure μ on the σ-algebra of Borel subsets of X, such that for all x, μ(A + x) = 0, then A is a Haar null set.[3]

The term refers to the null invariance of the measures of translates, associating it with the complete invariance found with Haar measure.

Some algebraic properties of topological groups have been related to the size of subsets and Haar null sets.[4] Haar null sets have been used in Polish groups to show that when A is not a meagre set then A⁻¹A contains an open neighborhood of the identity element.[5] This property is named for Hugo Steinhaus since it is the conclusion of the Steinhaus theorem.

See also

• Cantor function
• Measure (mathematics)
• Empty set
• Nothing

References

1. Franks, John (2009). A (Terse) Introduction to Lebesgue Integration. The Student Mathematical Library. 48. American Mathematical Society. p. 28. doi:10.1090/stml/048. ISBN 978-0-8218-4862-3.
2. van Douwen, Eric K. (1989). "Fubini's theorem for null sets". American Mathematical Monthly. 96 (8): 718–21. doi:10.1080/00029890.1989.11972270. JSTOR 2324722. MR 1019152.
3. Matouskova, Eva (1997). "Convexity and Haar Null Sets" (PDF). Proceedings of the American Mathematical Society. 125 (6): 1793–1799. doi:10.1090/S0002-9939-97-03776-3. JSTOR 2162223.
4. Solecki, S. (2005). "Sizes of subsets of groups and Haar null sets". Geometric and Functional Analysis. 15: 246–73. CiteSeerX 10.1.1.133.7074. doi:10.1007/s00039-005-0505-z. MR 2140632.
5. Dodos, Pandelis (2009). "The Steinhaus property and Haar-null sets". Bulletin of the London Mathematical Society. 41 (2): 377–44. arXiv:1006.2675. Bibcode:2010arXiv1006.2675D. doi:10.1112/blms/bdp014. MR 4296513.

Further reading

• Capinski, Marek; Kopp, Ekkehard (2005). Measure, Integral and Probability. Springer. p. 16. ISBN 978-1-85233-781-0.
• Jones, Frank (1993). Lebesgue Integration on Euclidean Spaces. Jones & Bartlett. p. 107. ISBN 978-0-86720-203-8.
• Oxtoby, John C. (1971). Measure and Category. Springer-Verlag. p. 3. ISBN 978-0-387-05349-3.