Proving of continuous functions

In summary, the conversation discusses the conditions for a function to be continuous at a rational point. It is stated that for any \epsilon>0, there must exist a \delta>0 such that f(x) is within a certain range. However, Evgeny Makarov shows that this is not possible by choosing \epsilon=1/2 and proving that there is no \delta that satisfies the condition. This also applies to irrational points.
  • #1
Joe20
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Appreciate the help needed for the attached question. Thanks!
 

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  • #2
Suppose that $f$ is continuous at some rational point $x_0\in\mathbb{Q}$. Then for $\varepsilon=1/2$ there exists a $\delta>0$ such that for an open interval $U=(x_0-\delta,x_0+\delta)$ we have $f(U)\subseteq(1/2,3/2)=(f(x_0)-1/2,f(x_0)+1/2)$. But this is impossible since every neighborhood of $x_0$, including $U$, contains an irrational point that is mapped to $0$ by $f$. The case of irrational $x_0$ is considered similarly.
 
  • #3
Evgeny.Makarov said:
Suppose that $f$ is continuous at some rational point $x_0\in\mathbb{Q}$. Then for $\varepsilon=1/2$ there exists a $\delta>0$ such that for an open interval $U=(x_0-\delta,x_0+\delta)$ we have $f(U)\subseteq(1/2,3/2)=(f(x_0)-1/2,f(x_0)+1/2)$. But this is impossible since every neighborhood of $x_0$, including $U$, contains an irrational point that is mapped to $0$ by $f$. The case of irrational $x_0$ is considered similarly.

Hi, may I ask how do you know that f(U)⊆(1/2,3/2) and how do u know ε=1/2? How do I answer to the f(x) = 1 and 0? I am confused.
 
  • #4
He doesn't "know" that [tex]\epsilon= \frac{1}{2}[/tex], he gave it that value. To prove that a function is continuous at x= a you must show that [tex]\lim_{x\to a}f(x)= f(a)[/tex]. And to show that you must show that "given any [tex]\epsilon> 0[/tex] there exist [tex]\delta> 0[/tex] such that …". This must be true for any [tex]\epsilon[/tex].

But Evgeny Makarov was showing that this is not true. It was sufficient to show there there is some value of [tex]\epsilon[/tex] for which this is not true. He showed it was not true for [tex]\epsilon= \frac{1}{2}[/tex] and that is sufficient to show that the function is not continuous.
 

Related to Proving of continuous functions

1. What is the definition of a continuous function?

A continuous function is one where the limit of the function as the input approaches a certain point is equal to the value of the function at that point. In simpler terms, this means that there are no sudden jumps or breaks in the graph of the function.

2. How do you prove that a function is continuous at a specific point?

To prove that a function is continuous at a specific point, you need to show that the limit of the function as the input approaches that point exists and is equal to the value of the function at that point. This can be done using the definition of continuity or by using the intermediate value theorem.

3. What is the difference between pointwise continuity and uniform continuity?

Pointwise continuity refers to the continuity of a function at every individual point in its domain. On the other hand, uniform continuity refers to the continuity of a function over an entire interval. In other words, a function can be pointwise continuous but not uniformly continuous if there are sudden jumps or breaks in the graph over the interval.

4. Can a function be continuous but not differentiable?

Yes, a function can be continuous but not differentiable. Continuous functions are defined by the behavior of the graph, while differentiability is determined by the behavior of the slope of the graph. A function can have a continuous graph but have a slope that changes suddenly, making it not differentiable at certain points.

5. How is the concept of continuity used in real-world applications?

The concept of continuity is used in many real-world applications, such as in physics, engineering, and economics. In physics, it is used to model the motion of objects and the flow of fluids. In engineering, it is used to design structures and predict their behavior. In economics, it is used to analyze supply and demand and make predictions about market trends.

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