Real-valued Functions: Continuity & Uniform Continuity · Real-valued Functions: Continuity &...
Click here to load reader
-
Upload
truongxuyen -
Category
Documents
-
view
213 -
download
0
Transcript of Real-valued Functions: Continuity & Uniform Continuity · Real-valued Functions: Continuity &...
Real-valued Functions:Continuity & Uniform Continuity
Josh EngwerTexas Tech University
July 5, 2011
1
The Real Line R :
• Assume function f : I → R, where I ⊆ R is an interval. Assume {xn} ∈ I is a sequence of real numbers in I .
EPSILON DEFINITIONS:
• f is continuous at point c ∈ I ⇐⇒ ∀ε > 0,∃δ > 0 s.t. |x− c| < δ ⇒ |f(x)− f(c)| < ε.
• f is uniformly continuous on I ⇐⇒ ∀ε > 0, ∃δ > 0 s.t. ∀x, y ∈ I, |x− y| < δ ⇒ |f(x)− f(y)| < ε.
EASIER DEFINITIONS:
• f is continuous at point c ∈ I ⇐⇒ ∀ {xn} ∈ I, {xn} → c⇒ {f(xn)} → f(c).
• f is continuous on I ⇐⇒ f is continous at every point of I .
• f is discontinuous at point c ∈ I ⇐⇒ ∃ {xn} ∈ I s.t. {xn} → c but {f(xn)} 6→ f(c).
MANIFESTATIONS OF UNIFORMLY CONTINUOUS FUNCTIONS:
• f is continuous on closed bounded interval I ⇒ f is uniformly continuous on I .
• f is Lipschitz on I ⇒ f is uniformly continuous on I .
• Let f be uniformly continuous on I . Then {xn} is Cauchy in I ⇒ {f(xn)} is Cauchy in R.
INTERMEDIATE VALUE THEOREM:
• Let f be continuous on I . Then k ∈ (a, b) ⊆ I satisfies f(a) < k < f(b)⇒ ∃c ∈ (a, b) s.t. f(c) = k.
PRESERVATION OF INTERVAL MAPPINGS:
• f is continuous on interval I ⇒ image f(I) is also an interval.
• f is continuous on closed bounded interval I ⇒ image f(I) is also a closed bounded interval.
COMBINATIONS OF CONTINUOUS FUNCTIONS:
• f, g are continuous on I ⇒ f + g, f − g, fg, kf, |f | are all continuous on I , where k ∈ R.
• f, g are continuous on I and g(x) 6= 0 ∀ x ∈ I ⇒ f/g is continuous on I .
MONOTONICITY AND CONTINUITY:
• f is monotone on I ⇒ set of points in I where f is discontinuous is at-most countable.
• f is monotone on I and continuous at point c ∈ I ⇐⇒ there’s no jump discontinuity at point c.
• f is strictly monotone and continuous on I ⇒ inverse f−1 is strictly monotone and continuous on f(I).
DIFFERENTIABILITY AND CONTINUITY:
• f is differentiable at point c ∈ I ⇒ f is continuous at point c.
INTEGRABILITY AND CONTINUITY:
• f is continuous on [a, b]⇒ f is Riemann integrable on [a, b].
• Let f be integrable on [a, b] and ∀x ∈ [a, b], set F (x) =∫ x
af(t)dt. Then F is uniformly continuous on [a, b].
FUNCTION EXTENSIONS:
• f : (a, b)→ R is uniformly continuous on (a, b) ⇐⇒ f can be extended to a continuous function f̄ on [a, b].
WEIERSTRASS APPROXIMATION THEOREM:
• Let f be continuous on I = [a, b]. Then ∀ε > 0, ∃ polynomial p s.t. ∀x ∈ I, |f(x)− p(x)| < ε.
Copyright 2011 Josh Engwer
2
References[1] R. G. Bartle, D. R. Sherbert, Introduction to Real Analysis. John Wiley & Sons, New York, NY, 2000.
[2] S. R. Lay, Analysis with an Introduction to Proof. Prentice Hall, Upper Saddle River, NJ, 2005.
[3] A. Mattuck, Introduction to Analysis. Prentice Hall, Upper Saddle River, NJ, 1999.
Copyright 2011 Josh Engwer
3