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Lecture 11: Extreme and Intermediate Value Theorem; Metric Spaces

Lecture 11: Extreme and Intermediate Value Theorem; Metric Spaces

Published 1 month, 2 weeks ago
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MIT 18.100B Real Analysis, Spring 2025
Instructor: Tobias Holck Colding
View the complete course: https://ocw.mit.edu/courses/18-100b-real-analysis-spring-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62Ie7F_tTAhhXoX5_Cl8meG

Using sequences and properties of sequences, we show both the extreme value theorem as well as the intermediate value theorem. We also define the notion of a metric space. A metric space is a space with a well-defined way of measuring distances between pairs of points. Many of the notions that we have introduced for the real numbers have counterparts for metric spaces and we discuss some of those including convergence and Cauchy sequence. We will also give a number of examples of metric spaces.

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