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{{Underlinked|date=September 2013}}
 
In [[real analysis]], a branch of mathematics, '''Cantor's intersection theorem''', named after [[Georg Cantor]], gives conditions under which an infinite intersection of nested, non-empty, sets is non-empty.
 
'''Theorem 1''': If <math>(X, d)</math> is a non-trivial, [[complete metric space]] and <math>\{C_n\}</math> is an infinite sequence of non-empty, closed sets such that <math>C_n\supset C_{n+1},\forall n</math> and <math>\lim_{n\rightarrow\infty} diam(C_n)=\sup\{d(x,y): x,y\in C_n\}\rightarrow 0</math>. Then, there exists an <math>x\in X</math> such that <math>\bigcap_{n=1}^\infty C_n = \{x\} </math>.<ref>"Real Analysis," H.L. Royden, P.M. Fitzpatrick, 4th edition, 2010, page 195</ref>
 
'''Theorem 2''': If <math>X</math> is a [[compact (mathematics) | compact]] space and <math>\{C_n\}</math> is an infinite sequence of non-empty, closed sets such that <math>C_n\supset C_{n+1},\forall n</math>, then <math>\bigcap_{n=1}^\infty C_n\neq\varnothing</math>.
 
Notice the differences and the similarities between the two theorem. In Theorem 2, the <math>C_n</math> are only assumed to be closed (and not compact, which is stronger) since given a compact space <math>X</math> and <math>Y\subset X</math> a closed subset, <math>Y</math> is necessarily compact. Also, in Theorem 1 the intersection is exactly 1 point, while in Theorem 2 it could contain many more points. Interestingly, a metric space having the Cantor Intersection property (i.e. the theorem above holds) is necessarily complete (for justification see below). An example of an application of this theorem is the existence of limit points for self-similar contracting fractals.<ref>Ergodic Theory and Symbolic Dynamics in Hyperbolic Spaces, T. Bedford, M. Keane and C. Series eds., Oxford Univ. Press 1991, page 225</ref>
 
Notice that each of the hypotheses above is essential. If the metric space were not complete, then one could construct a nested sequence of non-empty, compact sets converging to a "hole" in the space, i.e. <math>\mathbb{Q}</math> with the usual metric and the sequence of sets, <math>C_n = [\sqrt{2}, \sqrt{2}+1/n]</math>. If the sets are not closed, then one can construct sequences of nested sets which have empty intersection, i.e. <math>\mathbb{R}</math> with the collection, <math>C_n = (0,\frac{1}{n}) </math>. The collections <math>C_n = [n, \infty)</math> and <math>C_n = [-\frac{1}{n}, 1+\frac{1}{n}]</math> illustrate what may happen when the diameters do not tend to zero: the intersection may be empty, as in the first, or may contain more than a single point, as in the second.
 
== Proof ==
 
'''Theorem 1''':
Suppose <math>(X,d)</math> is a non-trivial, complete metric space and <math>\{C_n\}</math> is an infinite family of non-empty closed sets in <math>X</math> such that <math>C_n\supset C_{n+1},\forall n</math> and <math>\lim_{n\to\infty} diam(C_n)\rightarrow 0</math>. Naturally we would like to use the completeness so we will construct a Cauchy sequence. Since each of the <math>C_n</math> is closed, there exists a <math>y_n</math> in the interior (i.e. positive distance to anything outside <math>C_n</math>) of <math>C_n</math>. These <math>y_n</math> form a sequence. Since <math>\lim_{n\to\infty} diam(C_n)\rightarrow 0</math>, then given any positive real value, <math>\epsilon>0</math>, there exists a large <math>N</math> such that whenever <math>n\geq N</math>, <math>diam(C_n)<\epsilon</math>. Since, <math>C_n\supset C_{n+1},\forall n</math>, then given any <math>n,m\geq N</math>, <math>y_n,y_m \in C_n</math> and therefore, <math>d(y_n,y_m)<\epsilon</math>. Thus, the <math>y_n</math> form a Cauchy sequence. By the completeness of <math>X</math> there is a point <math>x\in X</math> such that <math>y_n\to x</math>. By the closure of each <math>C_n</math> and since <math>x</math> is in <math>C_n</math> for all <math>n\geq N</math>, <math>x\in\bigcap_{n=1}^\infty C_n</math>. To see that <math>x</math> is alone in <math>\bigcap_{n=1}^\infty C_n</math> assume otherwise. Take <math>x'\in\bigcap_{n=1}^\infty C_n</math> and then consider the distance between <math>x</math> and <math>x'</math> this is some value greater than 0 and implies that the <math>\lim_{n\to\infty} diam(C_n)\rightarrow d(x,x')>0</math>. Contradiction! Thus the claim follows.
 
'''Theorem 2''':
Suppose <math>X</math> is a compact topological space and <math>\{C_n\}</math> is an infinite sequence of non-empty, closed sets such that <math>C_1 \supseteq \cdots C_k \supseteq C_{k+1} \cdots, \, </math>. Assume, by contradiction, that <math>\bigcap_{n=1}^\infty C_n=\varnothing</math>. Then we will build an open cover of <math>X</math> by considering the complement of <math>C_n</math> in <math>X</math>, i.e. <math>U_n=X\setminus C_n,\forall n</math>. Each <math>U_n</math> is open since the <math>C_n</math> are closed. Notice that <math>\bigcup_{n=1}^\infty U_n = \bigcup_{n=1}^\infty (X\setminus C_n) = X\setminus\bigcap_{n=1}^\infty C_n</math>, but we assumed that <math>\bigcap_{n=1}^\infty C_n=\varnothing</math> so that means <math>\bigcup_{n=1}^\infty U_n = X</math>. So, there are infinite many <math>U_n</math> covering our compact <math>X</math>. That means there exists a large <math>N</math> such that <math> X\subset\bigcup_{n=1}^N U_n</math>. Notice, however, that <math>C_n\supset C_{n+1},\forall n</math> implies that <math>X\setminus C_n=U_n\subset U_{n+1}=X\setminus C_{n+1},\forall n</math>. The only way for the nested and increasing <math>U_n</math> to cover <math>X</math> is if there is some index, call it <math>k</math>, such that <math>X=U_k</math>. This implies though that <math>C_k=X\setminus U_k=\varnothing</math>. This is a contradiction since we assumed that the <math>C_n</math> were non-empty. Hence, <math>\bigcap_{n=1}^\infty C_n\neq\varnothing</math>.
 
Notice that in regards to the proof of Theorem 2, we don't need Hausdorffness. At no point in time do we appeal to the nature of points in the space. It is simply a statement about empty or not.
 
Consider now a metric space <math>(X,d)</math> (not necessarily complete) in which <math>\bigcap_{n=1}^\infty C_n = x </math> whenever <math>\{C_n\}</math> is an infinite sequence of non-empty, closed sets such that <math>C_n\supset C_{n+1},\forall n</math> and <math>\lim_{n\to\infty} diam(C_n)=sup\{d(x,y): x,y\in X\}\rightarrow 0</math>. Now, let <math>\{x_k\}</math> be a Cauchy sequence in <math> X</math> and take <math>C_n=\overline{\{x_k:k\geq n\}}</math>. The bar over the set means that we are taking the closure of the set under it. This guarantees that we are working with closed sets and since they contain the elements of our Cauchy sequence, we know them to be non-empty. In addition, <math>C_n\supset C_{n+1}</math> and since <math>\forall\epsilon>0,\exists N</math> such that when <math>n,m\geq N,d(x_n,x_m)<\epsilon</math>, (note this hold for all indices larger than our large <math>N</math>) then <math>diam(C_N)<\epsilon</math>. Hence, <math>\{C_n\}</math> satisfies the conditions above and there exists an <math>x\in X</math> such that <math>\bigcap_{n=1}^\infty C_n = x </math>. So, <math>x</math> is in the closure of all of the <math>C_n</math> and any open ball around <math>x</math> has non-empty intersection with the <math>C_n</math>. Now we will build a sub-sequence of the <math>\{x_n\}</math>, call it <math>\{x_{n_k}\}</math>, where <math>d(x,x_{n_k})<\frac{1}{k}</math>. This implies that <math>\{x_{n_k}\}\to x</math> and since <math>\{x_k\}</math> was Cauchy then it too must converge to <math>x</math>. Since <math>\{x_k\}</math> was an arbitrary Cauchy sequence, <math>X</math> is complete.
 
== References ==
{{Reflist}}
* {{MathWorld | urlname=CantorsIntersectionTheorem | title=Cantor's Intersection Theorem}}
* Jonathan Lewin. An interactive introduction to mathematical analysis. Cambridge University Press. ISBN 0-521-01718-1. Section 7.8.
 
[[Category:Articles containing proofs]]
[[Category:Real analysis]]
[[Category:Compactness theorems]]
[[Category:Theorems in calculus]]

Revision as of 17:41, 31 July 2013

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In real analysis, a branch of mathematics, Cantor's intersection theorem, named after Georg Cantor, gives conditions under which an infinite intersection of nested, non-empty, sets is non-empty.

Theorem 1: If is a non-trivial, complete metric space and is an infinite sequence of non-empty, closed sets such that and . Then, there exists an such that .[1]

Theorem 2: If is a compact space and is an infinite sequence of non-empty, closed sets such that , then .

Notice the differences and the similarities between the two theorem. In Theorem 2, the are only assumed to be closed (and not compact, which is stronger) since given a compact space and a closed subset, is necessarily compact. Also, in Theorem 1 the intersection is exactly 1 point, while in Theorem 2 it could contain many more points. Interestingly, a metric space having the Cantor Intersection property (i.e. the theorem above holds) is necessarily complete (for justification see below). An example of an application of this theorem is the existence of limit points for self-similar contracting fractals.[2]

Notice that each of the hypotheses above is essential. If the metric space were not complete, then one could construct a nested sequence of non-empty, compact sets converging to a "hole" in the space, i.e. with the usual metric and the sequence of sets, . If the sets are not closed, then one can construct sequences of nested sets which have empty intersection, i.e. with the collection, . The collections and illustrate what may happen when the diameters do not tend to zero: the intersection may be empty, as in the first, or may contain more than a single point, as in the second.

Proof

Theorem 1: Suppose is a non-trivial, complete metric space and is an infinite family of non-empty closed sets in such that and . Naturally we would like to use the completeness so we will construct a Cauchy sequence. Since each of the is closed, there exists a in the interior (i.e. positive distance to anything outside ) of . These form a sequence. Since , then given any positive real value, , there exists a large such that whenever , . Since, , then given any , and therefore, . Thus, the form a Cauchy sequence. By the completeness of there is a point such that . By the closure of each and since is in for all , . To see that is alone in assume otherwise. Take and then consider the distance between and this is some value greater than 0 and implies that the . Contradiction! Thus the claim follows.

Theorem 2: Suppose is a compact topological space and is an infinite sequence of non-empty, closed sets such that . Assume, by contradiction, that . Then we will build an open cover of by considering the complement of in , i.e. . Each is open since the are closed. Notice that , but we assumed that so that means . So, there are infinite many covering our compact . That means there exists a large such that . Notice, however, that implies that . The only way for the nested and increasing to cover is if there is some index, call it , such that . This implies though that . This is a contradiction since we assumed that the were non-empty. Hence, .

Notice that in regards to the proof of Theorem 2, we don't need Hausdorffness. At no point in time do we appeal to the nature of points in the space. It is simply a statement about empty or not.

Consider now a metric space (not necessarily complete) in which whenever is an infinite sequence of non-empty, closed sets such that and . Now, let be a Cauchy sequence in and take . The bar over the set means that we are taking the closure of the set under it. This guarantees that we are working with closed sets and since they contain the elements of our Cauchy sequence, we know them to be non-empty. In addition, and since such that when , (note this hold for all indices larger than our large ) then . Hence, satisfies the conditions above and there exists an such that . So, is in the closure of all of the and any open ball around has non-empty intersection with the . Now we will build a sub-sequence of the , call it , where . This implies that and since was Cauchy then it too must converge to . Since was an arbitrary Cauchy sequence, is complete.

References

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  • Jonathan Lewin. An interactive introduction to mathematical analysis. Cambridge University Press. ISBN 0-521-01718-1. Section 7.8.
  1. "Real Analysis," H.L. Royden, P.M. Fitzpatrick, 4th edition, 2010, page 195
  2. Ergodic Theory and Symbolic Dynamics in Hyperbolic Spaces, T. Bedford, M. Keane and C. Series eds., Oxford Univ. Press 1991, page 225