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Exterior Measure 📂Measure Theory

Exterior Measure

Definition 1

Given ERE \subset \mathbb{R}, {InI  nN}\left\{ I_{n} \in \mathcal{I} \ | \ n \in \mathbb{N} \right\} , {EnP(R)  nN}\left\{ E_{n} \in \mathscr{P} ( \mathbb{R} ) \ | \ n \in \mathbb{N} \right\}, we define the function m(E):=infZEm^{ \ast } (E) : = \inf Z_{E} as an Outer Measure.

Fundamental Properties

The outer measure has the following properties:

  • [1] Generalization of Length: II    m(I)=l(I)I \in \mathcal{I} \implies m^{ \ast } (I) = l(I)
  • [2] Non-Negativity: NN    m(N)=0N \in \mathcal{N} \iff m^{ \ast }(N) = 0
  • [3] Monotonicity: E1E2    m(E1)m(E2)E_{1} \subset E_{2} \implies m^{ \ast }(E_{1}) \le m^{ \ast }(E_{2})
  • [4] Invariance under Transformation: tR    m(E)=m(E+t)t \in \mathbb{R} \implies m^{ \ast } (E) = m^{ \ast } (E+t)
  • [5] Countable Subadditivity: m(n=1En)n=1m(En)\displaystyle m^{ \ast } \left( \bigcup_{n=1}^{\infty} E_{n} \right) \le \sum_{n=1}^{\infty} m^{ \ast } (E_{n})

Explanation

Since the elements of ZEZ_{E} sum up the distances, it is evident that ZEZ_{E} is bounded below and the existence of infZE\inf Z_{E} is trivial. The condition requires satisfaction of En=1In\displaystyle E \subset \bigcup_{n=1}^{\infty} I_{n}, and choosing the smallest inf\inf can be thought of as ’narrowing down from the outside.’ Therefore, the outer measure is also referred to as the (Lebesgue) Exterior Measure, and this naming is considered to be valid.

As can be guessed from property [1], the outer measure is a concept devised for generalizing ’length.’ Naturally, it should cover the lengths we have intuitively and conventionally used. In this sense, properties [2]~[5] are obligatory, and without them, it could hardly be called a generalization.

Particularly in [5], it mirrors the triangle inequality of norms with the difference that the number of terms is countably infinite. Common sensically, if for all iji \ne j and when EiEj=E_{i} \cap E_{j} = \emptyset, m(n=1En)=n=1m(En) m^{ \ast } \left( \bigcup_{n=1}^{\infty} E_{n} \right) = \sum_{n=1}^{\infty} m^{ \ast } (E_{n}) holds, i.e., if m(n=1En)=n=1m(En)\displaystyle m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) = \sum_{n=1}^{\infty} m^{ \ast } (E_{n}) is true, then the generalization of length can be considered successful. (Here, \bigsqcup denotes the symbol for the union of mutually disjoint sets.)

Limitations of the Outer Measure

The issue is even with such strong conditions set, there’s an “abnormal” counterexample that fails to satisfy the equation. To satisfy this equality, mathematicians, including Lebesgue, have sought out new conditions.

Counterexample

For all iji \ne j, the following does not always hold: EiEj=    m(n=1En)=n=1m(En)\displaystyle E_{i} \cap E_{j} = \emptyset \implies m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) = \sum_{n=1}^{\infty} m^{ \ast } (E_{n})

Disproof

Providing a counterexample for EiEj=    m(n=1En)n=1m(En)\displaystyle E_{i} \cap E_{j} = \emptyset \implies m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) \ne \sum_{n=1}^{\infty} m^{ \ast } (E_{n}) is sufficient.


Defining the relation where if x,y[0,1]x,y \in [0,1] and yxQy-x \in \mathbb{Q}, then xyx \sim y, we can easily show that \sim is an equivalence relation. \sim determines the equivalence class AαA_{\alpha}, and since [0,1][0,1] is uncountable, for all α[0,1]\alpha \in [0,1], an AαA_{\alpha} exists, making AαA_{\alpha} uncountably many. Meanwhile, each AαA_{\alpha} is a countable set due to xAαx \in A_{\alpha} and qQ[0,1]q \in \mathbb{Q} \cap [0,1] being true for x(xq)=qQx - (x - q) = q \in \mathbb{Q}.

Now, consider the set EE gathered by picking one element from all AαA_{\alpha}. The construction of such a set EE is guaranteed by the Axiom of Choice.

Then for any given qnQ[0,1]q_{n} \in \mathbb{Q} \cap [0,1], we can define En:=E+qnE_{n} := E + q_{n}. Assuming zEiEjz \in E_{i} \cap E_{j}, aα+qi=z=aβ+qjaαaβ=qjqiQ a_{\alpha} + q_{i} = z = a_{\beta} + q_{j} \\ a_{\alpha} - a_{\beta} = q_{j} - q_{i} \in \mathbb{Q} implies aαaβQa_{\alpha} - a_{\beta} \in \mathbb{Q}, and means aαa_{\alpha} and aβa_{\beta} belong to some AλA_{\lambda} simultaneously. However, since EE includes only one element from each AαA_{\alpha}, this is a contradiction, and thus for iji \ne j, EiEj=E_{i} \cap E_{j} = \emptyset must hold.

Since [0,1]n=1En[1,2]\displaystyle [0,1] \subset \bigsqcup_{n=1}^{\infty} E_{n} \subset [-1,2], by [3] Monotonicity, m[0,1]m(n=1En)m[1,2] m^{ \ast } [0,1] \le m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) \le m^{ \ast } [-1, 2] If we assume m(n=1En)=n=1m(En)\displaystyle m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) = \sum_{n=1}^{\infty} m^{ \ast } (E_{n}), 1n=1m(En)3 1 \le \sum_{n=1}^{\infty} m^{ \ast } ( E_{n} ) \le 3

By [4] Invariance under Transformation, since m(En)=m(E+qn)=m(E)m^{ \ast }(E_{n}) = m^{ \ast }(E + q_{n}) = m^{ \ast }(E), 1n=1m(En)=m(E)+m(E)+3 1 \le \sum_{n=1}^{\infty} m^{ \ast } ( E_{n} ) = m^{ \ast } (E) + m^{ \ast } (E) + \cdots \le 3 For 1n=1m(E)\displaystyle 1 \le \sum_{n=1}^{\infty} m^{ \ast } ( E ) to hold, n=1m(E)=\displaystyle \sum_{n=1}^{\infty} m^{ \ast } ( E ) = \infty must, and for n=1m(E)3\displaystyle \sum_{n=1}^{\infty} m^{ \ast } ( E ) \le 3 to occur, n=1m(E)=0\displaystyle \sum_{n=1}^{\infty} m^{ \ast } ( E ) = 0 must. Satisfying both conditions simultaneously is impossible, therefore, m(n=1En)n=1m(En) m^{ \ast } \left( \bigsqcup_{n=1}^{\infty} E_{n} \right) \ne \sum_{n=1}^{\infty} m^{ \ast } (E_{n})

It’s not just the counterexample itself, but the fact that a brain capable of conceiving such a counterexample exists in the world is even more shocking. If you’ve discovered a counterexample that’s not similar and is original, it’s recommended to visit either a psychiatric hospital or graduate school.


  1. Capinski. (1999). Measure, Integral and Probability: p20. ↩︎