Metrization Theorem (Urysohns Metrization Theorem) Every second - - PowerPoint PPT Presentation

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Metrization Theorem (Urysohns Metrization Theorem) Every second - - PowerPoint PPT Presentation

Metrization Theorem (Urysohns Metrization Theorem) Every second countable regular space is metrizable. Analysis Definition A sequence ( f n ) of functions from X to a metric space ( Y , d ) converges uniformly to a function f : X Y if for


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SLIDE 1

Metrization

Theorem (Urysohn’s Metrization Theorem) Every second countable regular space is metrizable.

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SLIDE 2

Analysis

Definition A sequence (fn) of functions from X to a metric space (Y , d) converges uniformly to a function f : X → Y if for all ǫ > 0 there is N ∈ Z+ such that n ≥ N implies d(fn(x), f (x)) < ǫ for all x ∈ X. Theorem (Uniform Limit Theorem) Suppose that (fn) is a sequence of continuous functions from X into a metric space (Y , d) that converge uniformly to f : X → Y . Then f is continuous.

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SLIDE 3

Series

Remark Suppose that (fn) is a sequence of functions from X to R. For each n ∈ Z+ let sn(x) =

n

  • k=1

fk(x). Then sn is continuous if each fk is. If for all x ∈ X, there is a f (x) such that lim

n sn(x) = f (x),

then we say that f is the sum of the series ∞

k=1 fk. We say that

k=1 fk converges uniformly to f is (sn) converges uniformly to f .

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SLIDE 4

Weierstrass

Theorem (Weierstrass M-Test) Suppose that (fn) is a sequence of continuous functions from X to R such that |fk(x)| ≤ Mk for all x ∈ X. If

  • k=1

Mk < ∞, then the series ∞

k=1 fk converges uniformly to a necessarily

continuous function f : X → R.