Continuous limited function, thus uniformly continuous

In summary: Thus, we have shown that for any ε > 0, there exists a δ > 0 such that for all x, y in [0,∞), if |x-y| < δ, then |f(x)-f(y)| < ε. This is the definition of uniform continuity, and therefore f is uniformly continuous on [0,∞).
  • #1
icantadd
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Homework Statement


suppose f : [0,infinity) -> R is continuous, and there is an L in R, s.t. f(x) -> L, as x -> infinity. Prove that f is uniformly continuous on [0,infinity).


Homework Equations


limit at xo: |x-xo| < delta then |f(x) -L| < epsilon

continuous |x-x0| < delta then |f(x) - f(xo) | < epsilon

uniformly continuous: |x-y| < delta then |f(x) - f(y)| < epsilon.


The Attempt at a Solution


Let A be a number s.t.
if |x - y| < delta1 , |f(x) - L | < epsilon for all x in [a,infinity).
b/c f is continuous then |x-xo| < delta1 |f(x) - f(y) | < epsilon.
Thus f is uniformly continuous on [a,infinity).

Then,
b/c f is continuous it is uniformly continuous on any compact domain, namely [0,a].
|x-y| < delta2 ...

Then pick delta = min{delta1,delta2}, then the rest should follow.

Does that seem sound?
 
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  • #2


Yes, your proof is sound. Here are some additional explanations for clarity:

First, we need to show that for any ε > 0, we can find a δ > 0 such that for all x, y in [0,∞), if |x-y| < δ, then |f(x)-f(y)| < ε. Since f is continuous on [0,∞), we know that for any x in [0,∞), there exists a δx > 0 such that if |x-y| < δx, then |f(x)-f(y)| < ε. This is the definition of continuity.

Next, we need to show that f is uniformly continuous on [0,∞), which means that for any ε > 0, we can find a δ > 0 such that for all x, y in [0,∞), if |x-y| < δ, then |f(x)-f(y)| < ε. Since f is continuous on [0,∞), we know that for any x in [0,∞), there exists a δx > 0 such that if |x-y| < δx, then |f(x)-f(y)| < ε. However, this δx may vary depending on the choice of x. We need to find a δ that works for all x in [0,∞). This is where the condition f(x) → L as x → ∞ comes in.

Since f(x) → L as x → ∞, we know that for any ε > 0, there exists a M > 0 such that if x > M, then |f(x)-L| < ε/2. Now, let δ = min{δx, M}. Then for any x, y in [0,∞), if |x-y| < δ, we have two cases:

1) If both x and y are greater than M, then |f(x)-f(y)| < ε since |f(x)-f(y)| ≤ |f(x)-L| + |L-f(y)| < ε/2 + ε/2 = ε.

2) If one of x or y is less than or equal to M, say x, then |f(x)-f(y)| < ε since |f(x)-f(y)| ≤ |f(x)-L| + |L-f(y)| < ε/2 +
 

What is meant by "continuous limited function"?

A continuous limited function is a function that is both continuous and bounded. This means that the function has no breaks or jumps in its graph and its output is always within a certain range of values.

What does "uniformly continuous" mean?

A function is uniformly continuous if, for any given tolerance level, there exists a corresponding interval of values in which the function's outputs will not differ by more than that tolerance. In other words, the function's rate of change remains consistent throughout its domain.

What is the difference between uniform continuity and continuity?

The main difference between uniform continuity and continuity is that uniform continuity considers the behavior of a function over its entire domain, while continuity only considers the behavior around a specific point. Uniform continuity requires that the function's outputs do not differ by more than a given tolerance level over any interval in its domain, whereas continuity only requires that the function's outputs do not differ by more than a given tolerance level around a specific point.

How can I determine if a function is uniformly continuous?

A function is uniformly continuous if it meets the definition of uniform continuity. This can be determined by checking if, for any given tolerance level, there exists a corresponding interval in which the function's outputs do not differ by more than that tolerance. This can also be verified by graphing the function and observing if there are any breaks or jumps in the graph.

Why is uniform continuity important in mathematics?

Uniform continuity is important because it guarantees that a function's behavior remains consistent over its entire domain, which allows for more precise mathematical analysis and calculations. It also helps to ensure that a function will behave in a predictable manner, making it easier to understand and work with in mathematical applications.

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