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Adherent Point and Closure of a Set

Definition

Let (X,d)(X,d) be a metric space and let EE be a subset of XX. A point x0x_0 in XX is termed an adherent point of EE if, for every ε>0\varepsilon > 0, the ball B(x0,ε)B(x_0, \varepsilon) intersects EE nonemptily. The set of all adherent points of EE constitutes the closure of EE, denoted as E‾\overline{E} or cl⁡E\operatorname{cl}E.


Interpretation

An adherent point of a set is one that you can get arbitrarily close to from inside the set: every ball around it, however small, contains a point of the set. The closure is the original set together with all such points: everything you can touch or approach.

A shaded region E with three test points and small balls: one inside E, one on its edge whose ball still meets E, so it is adherent, and one outside whose ball misses E.

In the figure, the point inside EE is adherent because it belongs to EE itself; every point of EE is adherent. The point x0x_0 on the edge is adherent as well: each ball around it contains points outside EE but still meets EE. The grey point outside is not adherent, since one ball around it misses EE; it is an exterior point.

Adherent points can be described with sequences: x0∈E‾x_0\in\overline{E} if and only if x0x_0 is the limit of a sequence in EE. If x0x_0 is adherent, pick xn∈B(x0,1n)∩Ex_n\in B(x_0,\tfrac{1}{n})\cap E, so that xn→x0x_n\to x_0; conversely, if xn→x0x_n\to x_0 with all xn∈Ex_n\in E, every ball around x0x_0 contains some xnx_n.

The closure is the smallest closed set containing EE, and the points it adds are exactly the boundary points not already in EE. In Probability Theory, the support of a random variable with one of the usual densities is the closure of the region where the density is positive.

A common slip is to think that an adherent point must lie on the edge of EE or outside it. Every point of EE is adherent, including an isolated point such as p\boldsymbol{p} in the interactive example, so E⊆E‾E\subseteq\overline{E} always.


Key Results

  • We have E‾=int⁡E∪∂E=E∪∂E=X∖ext⁡E.\overline{E} = \operatorname{int}E \cup \partial E = E \cup \partial E = X \setminus \operatorname{ext}E.
  • A set is closed if and only if it contains all its adherent points.
  • The closure of a set EE is the intersection of all closed sets which contain EE, or equivalently, the smallest closed set that contains EE.

Examples

  • The closure of (0,1)(0,1) in R\mathbb{R} is [0,1][0,1]. The endpoints 00 and 11 are adherent points even though they are not in the open interval.
  • If E={1/n ⁣:n∈N+}E = \{1/n \colon n \in \mathbb{N}^+\} in R\mathbb{R}, the closure is E∪{0}E \cup \{0\}. Zero is an adherent point approached by the sequence.

Prerequisites

Sources

Aliases: closure point, contact point Keywords: closure of a set Symbols: element of, epsilon, intersection, natural numbers, partial, real numbers, subset, union

Last updated: 20 October 2026 03:02