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Lipschitz Functions: Definition, Properties, and Examples, Assignments of Mathematics

The concept of lipschitz functions, providing definitions, examples, and theorems related to their properties. Lipschitz conditions, the relationship between lipschitz functions and continuity, and the connection between lipschitz functions and differentiability.

Typology: Assignments

Pre 2010

Uploaded on 08/08/2009

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Lipschitz Functions
Lorianne Ricco
February 4, 2004
Definition 1 Let f(x)be defined on an interval Iand suppose we can find two
positive constants Mand αsuch that
|f(x1)f(x2)| M|x1x2|αfor all x1, x2I .
Then fis said to satisfy a Lipschitz Condition of order αand we say that
fLip(α).
Example 1 Take f(x) = xon the interval [a,b]. Then
|f(x1)f(x2)|=|x1x2|
That implies that fLip(1).
Now take f(x) = x2on the interval [a, b]. Then
|f(x1)f(x2)|=|x1
2x2
2|=|x1x2||x1+x2| M|x1x2|
with M= 2max(|a|,|b|). Hence, again fLip(1).
The function f(x) = 1/x on (0,1). Is it Lip(1) ? How about Lip(1/2)? How
about Lip(α)?
Theorem 1 Lip(α)is a linear space.
Proof We will look at a part of this proof. Let f, g Lip(α).
(f+g)(x)Lip(α)
Then,
|f(x) + g(x)f(y) + g(y)| M|xy|α
If fLip(α) it implies that
|f(x)f(y)| M1|xy|α
If gLip(α) it implies that
1
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Lipschitz Functions

Lorianne Ricco

February 4, 2004

Definition 1 Let f (x) be defined on an interval I and suppose we can find two positive constants M and α such that

|f (x 1 ) − f (x 2 )| ≤ M |x 1 − x 2 |α^ for all x 1 , x 2 ∈ I.

Then f is said to satisfy a Lipschitz Condition of order α and we say that f ∈ Lip(α).

Example 1 Take f (x) = x on the interval [a, b]. Then

|f (x 1 ) − f (x 2 )| = |x 1 − x 2 |

That implies that f ∈ Lip(1). Now take f (x) = x^2 on the interval [a, b]. Then

|f (x 1 ) − f (x 2 )| = |x 12 − x 22 | = |x 1 − x 2 ||x 1 + x 2 | ≤ M |x 1 − x 2 |

with M = 2max(|a|, |b|). Hence, again f ∈ Lip(1). The function f (x) = 1/x on (0, 1). Is it Lip(1)? How about Lip(1/2)? How about Lip(α)?

Theorem 1 Lip(α) is a linear space.

Proof We will look at a part of this proof. Let f, g ∈ Lip(α).

(f + g)(x) ∈ Lip(α)

Then,

|f (x) + g(x) − f (y) + g(y)| ≤ M |x − y|α

If f ∈ Lip(α) it implies that

|f (x) − f (y)| ≤ M 1 |x − y|α

If g ∈ Lip(α) it implies that

|g(x) − g(y)| ≤ M 2 |x − y|α If (f + g) ∈ Lip(α) it imples that

|(f + g)(x) − (f + g)(y)| ≤ M 3 |x − y|α

|f (x) + g(x) − f (y) − g(y)| =

|f (x) − f (y) + g(x) − g(y)| =

|f (x) − f (y)| + |g(x) − g(y)| =

By the triangle inequality,

|f (x) − f (y)| + |g(x) − g(y)| ≤

M 1 |x − y|α^ + M 2 |x − y|α^ = |M 1 + M 2 ||x − y|α

Theorem 2 If f ∈ Lip(α) with α > 1 then f = constant.

Proof Left as homework for everyone.

1 Lipschitz and Continuity

Theorem 3 If f ∈ Lip(α) on I, then f is continous; indeed, uniformly contiu- ous on I.

Last time we did continuity with  and δ. An alternative definition of con- tinuity familar from calculus is: f is continuous at x = c if:

  • f (c) exists
  • limx→cf (x) exists
  • limx→cf (x) = f (c)

In order to be continuous, if |x − x 0 | < δ, then |f (x) − f (x 0 )| < . Proof |f (x) − f (c)| ≤ M |x − c|α

limx→c|f (x) − f (c)| ≤ M limx→c|x − c|α^ = 0

This implies

limx→cf (x) = f (c)

How about continuous implies Lip(α)?