Exercise 8.2.14

(a)
Give the details for why we know there exists a point x 2 V 𝜖 1 ( x 1 ) O 2 and an 𝜖 2 > 0 satisfying 𝜖 2 < 𝜖 1 2 with V 𝜖 2 ( x 2 ) contained in O 2 and
V 𝜖 2 ( x 2 ) ¯ V 𝜖 1 ( x 1 )
(b)
Proceed along this line and use the completeness of ( X , d ) to produce a single point x O n for every n N .

Answers

(a)
It’s clear from the definition that, for a dense set S , any point x X , and any 𝜖 > 0 , V 𝜖 ( x ) S . Since O 2 is dense, there must be some x 2 V 𝜖 1 2 ( x 1 ) O 2 . Now since O 2 is open, we have that for some 𝜖 a , V 𝜖 a ( x 2 ) O 2 . We can also find 𝜖 b so that V 𝜖 b ( x 2 ) ¯ V 𝜖 1 ( x 1 ) . To do this, recall from Exercise 8.2.12 (a) that if x V 𝜖 b ( x 2 ) ¯ , then d ( x , x 2 ) 𝜖 b . By choosing any 𝜖 b < 𝜖 2 , we have
d ( x , x 1 ) d ( x , x 2 ) + d ( x 2 , x 1 ) < 𝜖 2 + 𝜖 2 = 𝜖

and hence x V 𝜖 1 ( x 1 ) . Finally, set 𝜖 2 = min { 𝜖 a , 𝜖 b } , so that 𝜖 2 satisifies both properties.

(b)
We can repeat this process to define 𝜖 n > 0 and x n for n > 1 , satisfying 𝜖 n < 𝜖 n 1 2 , V 𝜖 n ( x n ) O n , and V 𝜖 n ( x n ) ¯ V 𝜖 n 1 .

Note that ( 𝜖 n ) 0 , and that i = n 𝜖 i < 2 𝜖 n . These two facts imply that ( x n ) is a Cauchy sequence, and by completeness ( x n ) converges to some x X .

Theorem 3.2.5 is still true for arbitrary metric spaces, and the proof can be reused (replacing the absolute value function with a general distance metric). Let N N be arbitrary. Noting that for n N + 1 , x n V 𝜖 N + 1 ( x N + 1 ) , we have x V 𝜖 N + 1 ¯ V 𝜖 N . Hence, x O n for any n N .

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2022-01-27 00:00
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