Prove Continuity From Precise Definition of Limit

  • #1
toslowtogofast2a
11
4
Homework Statement
The problem tells us f is continuous at 0 and that if f(a+b) = f(a)+f(b) then prove f is continuous at every number.
Relevant Equations
The solution in the book used a different approach but I am trying to start with the precise definition of continuity and prove from there.

For all epsilon >0 there exists delta >0 ST
|f(x)-f(c)|<epsilon. When. 0<|x-c|<delta
I attached my attemp at the solution. I am trying to start with continuity at 0 and end up with limit of f(x) equals f(c) as x goes to c.

Could someone take a look at the attached image and let me know if I am on the right track or where I went astray

Sorry picture is rotated I tried but can’t get it to come in right.
9C92438B-13E6-48B1-A4DF-B22690442080.jpeg
 
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  • #2
Although your description of your proof is straightforward, the organization of your proof is confusing. It's hard to see if it is correct.
It's not clear that it is following your description: "I am trying to start with continuity at 0 and end up with limit of f(x) equals f(c) as x goes to c."
1) You should start in a way that briefly makes it clear which point continuity is being established (i.e. define ##c\in\mathbb{R}##). Also define ##\epsilon\gt 0##.
2) Use the continuity of ##f()## at 0 to get ##\delta##:
3) Use that ##\delta## to prove continuity at ##c##:
 
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  • #3
Note that there is an alternative, equivalent formulation of continuity using sequences, which is often useful for proofs. It's fairly to simple to show that ##f## is continuous at ##x## iff for every sequence ##x_n## that converges to ##x##, the sequence ##f(x_n)## converges to ##f(x)##. I'm not sure why this is not taught more widely.

Anyway, in this case, you could use that alternative definition for a nice, simple proof.
 
  • #4
FactChecker said:
Although your description of your proof is straightforward, the organization of your proof is confusing. It's hard to see if it is correct.
It's not clear that it is following your description: "I am trying to start with continuity at 0 and end up with limit of f(x) equals f(c) as x goes to c."
1) You should start in a way that briefly makes it clear which point continuity is being established (i.e. define ##c\in\mathbb{R}##). Also define ##\epsilon\gt 0##.
2) Use the continuity of ##f()## at 0 to get ##\delta##:
3) Use that ##\delta## to prove continuity at ##c##:
@FactChecker Thanks for the reply. I agree I let out details and was unclear. I tried to be more detailed and clear about my structure in image below. Is this better.
20241015_131512.jpg
 
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  • #5
That looks good to me. I might quibble about some "wordsmithing" things, but the logic and flow seems fine.
 
  • #6
FactChecker said:
That looks good to me. I might quibble about some "wordsmithing" things, but the logic and flow seems fine.
Thanks for taking the time to help me with this
 
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  • #7
Just to show the alternative proof. Let ##x \in \mathbb R##.

Let ##x_n## be a sequence that converges to ##x##. Then, ##x_n - x## is a sequence that converges to ##0##. As ##f## is continuous at ##0##, ##f(x_n - x)## converges to ##f(0)##. Using the linear property of ##f##, we have ##f(x_n - x) = f(x_n) - f(x)##. Hence ##f(x_n)## converges to ##f(0) + f(x) = f(0 + x) = f(x)##.

This shows that ##f(x_n)## converges to ##f(x)##, hence ##f## is continuous at ##x##.
 
  • #8
PeroK said:
Just to show the alternative proof. Let ##x \in \mathbb R##.

Let ##x_n## be a sequence that converges to ##x##. Then, ##x_n - x## is a sequence that converges to ##0##. As ##f## is continuous at ##0##, ##f(x_n - x)## converges to ##f(0)##. Using the linear property of ##f##, we have ##f(x_n - x) = f(x_n) - f(x)##. Hence ##f(x_n)## converges to ##f(0) + f(x) = f(0 + x) = f(x)##.

This shows that ##f(x_n)## converges to ##f(x)##, hence ##f## is continuous at ##x##.
Thanks for posting that. I have not learned that way yet but it is a good tool to have in my bag. It is a nice solution to the problem and pretty concise
 
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FAQ: Prove Continuity From Precise Definition of Limit

What is the precise definition of continuity at a point?

The precise definition of continuity at a point states that a function f(x) is continuous at a point c if the following three conditions are satisfied: 1) f(c) is defined, 2) the limit of f(x) as x approaches c exists, and 3) the limit of f(x) as x approaches c equals f(c). In symbolic terms, this can be expressed as: if lim (x → c) f(x) = f(c), then f is continuous at c.

How do you prove continuity using the epsilon-delta definition?

To prove continuity using the epsilon-delta definition, you need to show that for every ε > 0 (epsilon), there exists a δ > 0 (delta) such that if |x - c| < δ, then |f(x) - f(c)| < ε. This involves manipulating the expression |f(x) - f(c)| to find a suitable δ that works for any given ε.

What is the relationship between limits and continuity?

The relationship between limits and continuity is foundational in calculus. A function is continuous at a point if the limit of the function as it approaches that point is equal to the function's value at that point. If the limit does not exist or is not equal to the function's value, the function is considered discontinuous at that point.

Can you provide an example of proving continuity using the precise definition?

Certainly! To prove that the function f(x) = 2x + 3 is continuous at c = 1, we first find f(1) = 5. Next, we calculate the limit: lim (x → 1) f(x) = 2(1) + 3 = 5. Since both f(1) and the limit equal 5, we then show that for any ε > 0, we can choose δ = ε/2. This ensures that if |x - 1| < δ, then |f(x) - 5| = |2x + 3 - 5| = |2x - 2| = 2|x - 1| < 2(ε/2) = ε, thus proving continuity at x = 1.

What are common types of discontinuities?

Common types of discontinuities include removable discontinuities, where a function is not defined at a point but could be made continuous by defining it appropriately; jump discontinuities, where the function has two different limits from either side of the point; and infinite discontinuities, where the function approaches infinity as it approaches the point. Understanding these types helps in analyzing the behavior of functions and their continuity.

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