1.84 We call pa cluster point of E, provided that for all e > 0 there exists e e E such that 0 < le – pl < e. (See Defintion 2.1.1.) Let ECR be any set with the property that there is a cluster point p of E such that p ¢ E. Show that there exists an open cover of E that has no finite subcover. Justify your claims. (Note: Exercise 1.83 is an example of the claim of this exercise.) Definition 2.1.1 A point a is called a cluster point of the set D if and onły if for all 8 > 0 there exists x E D such that 0 < |x – a| < 8. Thus a cluster point a of a set D has the property that it is always possible to find points x E D for which x # a and yet x is as close to a as we like.

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
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Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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1.84
O We call pa cluster point of E, provided that for all e > 0 there exists e e E
such that
0 < le – pl < e.
(See Defintion 2.1.1.) Let E CR be any set with the property that there is a cluster
point p of E such that p ¢ E. Show that there exists an open cover of E that has no
finite subcover. Justify your claims. (Note: Exercise 1.83 is an example of the claim
of this exercise.)
Definition 2.1.1 A point a is called a cluster point of the set D if and only if for all
8 >0 there exists x E D such that 0 < |x – a < 8.
Thus a cluster point a of a set D has the property that it is always possible to find
points x E D for which r a and yet x is as close to a as we like.
Transcribed Image Text:1.84 O We call pa cluster point of E, provided that for all e > 0 there exists e e E such that 0 < le – pl < e. (See Defintion 2.1.1.) Let E CR be any set with the property that there is a cluster point p of E such that p ¢ E. Show that there exists an open cover of E that has no finite subcover. Justify your claims. (Note: Exercise 1.83 is an example of the claim of this exercise.) Definition 2.1.1 A point a is called a cluster point of the set D if and only if for all 8 >0 there exists x E D such that 0 < |x – a < 8. Thus a cluster point a of a set D has the property that it is always possible to find points x E D for which r a and yet x is as close to a as we like.
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