Proving Continuity of f(x) = x Using Deltas and Epsilons

Okay wise guy, you say L is the limit. Prove it! You have to show me why you think that L is the limit."The wise guy..."Okay, let me give it a shot. I think that L is the limit because for any epsilon that you choose, I can find a delta that works."The doubter..."Okay, prove it. Show me that for every epsilon I can find a delta that works."The wise guy..."Sure thing! Let's start by choosing an epsilon. I'll call it epsilon. Now, I'm going to find a delta that will work for this epsilon. I'll call it delta. So, for any x that satisfies |x-a|
  • #1
Moogie
168
1
Hi

I'm new to calculus and I'm teaching myself so please be kind to me :)

How do you prove that f(x) = x is continuous at all points? I know a little bit about deltas and epsilons. I know that for a positive epsilon it is possible to get a delta such that

|(fx) - L| < epsilon for all x that satisfy 0 < |x-a| < delta

but i don't know if that can be applied here

I know that for f(x) = x then if it is continuous then you have to prove

lim (x->a) (fx) = f(a) for all x (i know the definition is more precise)

You can rewrite
lim (x->a) (fx) = f(a)

as

lim (x->a) x= a

but this makes sense intuitively but is it a proof? How could you show this with deltas and epsilons.

I hope this isn't asking too much as I don't think its a hard answer for someone who knows what they are talking about

thanks
 
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  • #2
This is one of those problems where the answer comes so fast from the definition that it's hard to see that you actually found it

The basic definition: For some value a, given [tex]\epsilon[/tex], we need to prove there exists [tex]\delta[/tex] such that if [tex]|x-a|<\delta[/tex], then [tex]|f(x)-f(a)|<\epsilon[/tex]. The first step is to substitute f(x) into this: f(x) is just x, and f(a) is just a.

For some value a, given [tex]\epsilon[/tex], we need to prove there exists [tex]\delta[/tex] such that if [tex]|x-a|<\delta[/tex], then [tex]|x-a|<\epsilon[/tex]

So if I tell you that [tex]|x-a|<\epsilon[/tex] is required, what value of [tex] \delta[/tex] should you pick?
 
  • #3
I think this is where i got stuck when i tried to get the answer myself...

Why did you write |f(x) - f(a)| instead of |f(x) - L|

I get the feeling I'm not seeing the wood for the trees here. Is it because if
f(x) is continuous, then f(x) goes to f(a) as x goes to a, so the limit at a is f(a)?

But how can you say the limit at a is f(a)? Isn't that what you are trying to prove?

Or are you going to assert it and then prove it by saying you can get a delta to satisfy the epsilon for it, if that makes sense
 
  • #4
Good question. You are trying to prove that the limit of f(x) as x goes to a is f(a), because that is the condition for continuity. The actual definition says that L is a limit if ... epsilons and deltas ... If you substitute f(a) (which exists independent of what the limit is) for L, you get that f(a) is a limit if ... epsilons and deltas ..., which is what you want to show.
 
  • #5
Is that how you prove a limit then? Or at least one way to prove a limit.

You assert what the limit is and if you can show that for every positive epsilon there is a delta such that |f(x)-L| < epsilon for |x -a| < delta?

That seems backwards to me, or perhaps that is the way mathematical proofs are done i.e. you state the answer first and show it is true rather than 'deriving' the answer at the end from a series of steos.
 
  • #6
Moogie said:
Is that how you prove a limit then? Or at least one way to prove a limit.

You assert what the limit is and if you can show that for every positive epsilon there is a delta such that |f(x)-L| < epsilon for |x -a| < delta?
Yes, that's right.
Moogie said:
That seems backwards to me, or perhaps that is the way mathematical proofs are done i.e. you state the answer first and show it is true rather than 'deriving' the answer at the end from a series of steos.

It's not really backward if you think about it. When you prove that the limit of a function is L, you have to already know what the limit is. You can think of this as being two parts: determining the limit, and then proving beyond doubt that the value you found is correct.
 
  • #7
@officeshredder (or anyone)

so we assert that the limit is f(a). For this to be true we have to show that for every positive epsilon there is a delta such that |f(x)-L| < epsilon for |x -a| < delta?

so |f(x) - f(a)| < epsilon for all |x-a| < delta
or |x-a| < epsilon for |x-a| < delta

How do i start picking deltas and epsilons? This is my thought process:

Lets say i pick an epsilon greater than 0. This means the output of the function lies in the range (a-epsilon, a + epsilon). This means i have to pick a delta such that if |x-a| < delta, the outputs lie in that range.

I have no idea how to show this or test this
 
  • #8
You are looking for a way to choose delta based on what epsilon is. For example, suppose that δ = g(ε). Then, if your choice of g(ε) is appropriate, you would have |x-a| < ε whenever |x-a| < g(ε).
 
  • #9
If delta is less than epsilon then every input in the range (a-delta, a+delta) gives and output less than (a-epsilon, a+epsilon)?
 
  • #10
Yes, that's right. Common practice is to do the least amount of work as possible, so people will often just choose one delta from the range of possible deltas you mentioned, e.g. δ = ε/2. But this problem is simple enough that your answer is perfectly all right, even better.
 
  • #11
It's delta less than or equal to epsilon?

My brain keeps confusing me and saying to me 'how do i know |x-a| < epsilon and then i get muddled.

Is this a common source of confusion? Presumbaly the answer is because i set epsilon such that |x-a| < epsilon but that's where i keep wandering off track and losing focus
 
  • #12
Moogie said:
If delta is less than epsilon then every input in the range (a-delta, a+delta) gives and output less than (a-epsilon, a+epsilon)?
For this function, you can take delta to be equal to epsilon.

A delta epsilon proof can be thought of as a dialog between someone who doubts that L is the limit and someone who intends to prove that L is the limit.

The doubter says, "Well can you get f(x) within .05 of L?"
You say, "Sure, if x is within delta of a, then f(x) will be within .05 of L.

The doubter then says, "But can you get f(x) within .001 of L?"
You say, "Sure, I'll just choose a smaller delta, then f(x) will be within .001 of L.

and so on. Eventually, the doubter realizes that no matter how small an epsilon he tells you, you are able to find a number delta so that for any x within delta of a, f(x) will be within epsilon of L. On making this realization, the doubter gives up, and cedes the argument to you.

The real power of this technique is that it can be used even when the function isn't defined at a; i.e., f(a) doesn't exist.
 
  • #13
Oh, I confused myself there. You can set delta less than or equal to epsilon (so actually δ = ε works just fine even though δ = ε/2 works as well).

This is a common point of confusion. Think about what it means to set δ = ε. We want to ascertain that for every ε > 0 there exists δ such that ... So, is this true if we set δ = ε? Yes, since setting δ = ε we get whenever |x - a| < δ = ε, |x - a| < ε.
 
  • #14
Tedjn said:
You are looking for a way to choose delta based on what epsilon is. For example, suppose that δ = g(ε). Then, if your choice of g(ε) is appropriate, you would have |x-a| < ε whenever |x-a| < g(ε).

This made a lot of sense to me - thank you

But the bit that kept confusing me when I was trying to work this out was

"how do i know |x-a| < epsilon. I don't even know what epsilon is so how do I know |x-a| is less than is"

Does that make sense? That's where i kept losing focus and going round in circles. If you could share some gem of wisdom that would stop me thinking that annoying thought it would be much appreciated
 
  • #15
Somebody gives you epsilon, and says they want |f(x) - f(a)| < epsilon. Your job is to find a delta so that for any x such that |x - a| < delta, then |f(x) - f(a)| < epsilon.

This is especially easy to do for this function, since f(x) = x and f(a) = a. The only simpler problem is f(x) = c, a constant. Any delta will work, no matter how small epsilon is chosen.
 
  • #16
Is it because I've got so much freedom i don't know what to do with it?

In other words, it's up to me what epsilon and x and a are. But if i pick a value of epsilon then I can pick a value for x and a such that |x-a| < epsilon. Doesn't matter what they are. But then if delta is less than or equal to epsilon, keeping the same values for x and a, |x-a| < delta <= epsilon?

In other words a and x are arbitary?
 
  • #17
I don't think you get it yet.

a is fixed, and f(a) is fixed. Somebody else challenges you by picking an epsilon. You pick a delta based on that epsilon.

Now, any x you choose has to be within delta of a (i.e., 0 < |x - a| < delta) and if you have chosen delta correctly, f(x) will be within epsilon of L = f(a) (i.e., |f(x) - L| < epsilon.

Think about it in terms of a bow and arrow and the bull's eye on an archery target. Under ideal conditions you could hold the bow just right and the arrow would fly to the exact center of the bull's eye, which is analogous to L.

If you only need to get within, say, a circle of radius epsilon around the exact center, you have some freedom in how you point the arrow when you release the bowstring (analogous to delta). The smaller the target circle, the more precise you have to be on the initial position of the arrow.
 
  • #18
I think you now have the right idea, although I'm not sure what you mean by a and x arbitrary.

Let's try to break this problem down a little more. A function is continuous by definition at a point a if the limit as x tends to a of f(x) is f(a). To prove a function is continuous at all points, you need to prove it for all a. So yes, to do this, we pick an arbitrary a, prove it is true for this a. Convince yourself that this proves it for all a.

Once we have chosen this arbitrary a, we can begin to look at the ε-δ limit definition. We need to show that for all ε > 0, there exists δ > 0, perhaps dependent on ε, such that (insert the rest). To prove this for every ε, we choose an arbitrary ε and prove it for this arbitrary ε. Convince yourself as above that this proves it for all ε.

In the end, what we want to show is that, given some fixed (but arbitrary) a and ε > 0, there exists this δ we have both been talking about such that whenever x is within some δ range of a, f(x) is within some ε range of f(a). In this part, to find δ, thinking in terms of a conversation as Mark44 suggested might help.

Does this clarify things a little more? There are a lot of variables in the limit definition, which can be confusing.
 
  • #19
Isn't it a bit easier to just apply the definition for continuity? Delta epsilon is a lot more work and it's quite arbitrary/subjective since you can "manipulate" it. I find delta epsilon more useful for proving continuity at a particular given point
 
  • #20
The OP had some questions specifically about delta-epsilon proofs. The definition of continuity at a point is a limit, so underlying it is the whole delta-epsilon business.

What makes it seem arbitrary or subjective?
 
  • #21
Mark44 said:
The OP had some questions specifically about delta-epsilon proofs. The definition of continuity at a point is a limit, so underlying it is the whole delta-epsilon business.

What makes it seem arbitrary or subjective?

Ah I see, my apologies. I never really enjoyed delta-epsilon proofs when I did them. The way my prof taught it, he basically said to pick a delta that works and if it doesn't, change the delta so that it works. I never really liked the concept of how we manipulate the proof just to get what we want but that's just my opinion.
 
  • #22
Hi

I don't think I worded my last comment very well. I need to be more precise.

I should have said that variable a is arbitary but once you have chosen it, it is fixed. The same applies to x.

By this I mean, providing delta is not zero, then you can be sure than there exists numbers between a and a+delta (or a-delta) as you could always take the average of a and a+delta between them to get a number in the middle. Any of the numbers in this range could be x. Providing that delta is less than or equal to epsilon then the absolute value of the difference between any of the x's you pick in this range and this a will always be less than epsilon.

And this relationship would hold for any variable a you started with.
 
  • #23
Or in other words I know that the interval of x is |x-a| < delta because that's part of the definition and if delta is less than or equal to epsilon then any x in this interval is also less than or equal to epsilon
 
  • #24
Moogie said:
Hi

I don't think I worded my last comment very well. I need to be more precise.

I should have said that variable a is arbitary but once you have chosen it, it is fixed. The same applies to x.
No, the same does not apply to x. To show that f is continuous at a number a in its domain, you have to show that for any positive number epsilon that someone else gives you, there is a positive number delta such that, for any x in (a - delta, a + delta), f(a) - epsilon < f(x) < f(a) + epsilon.

Using somewhat more mathematical notation, you can say
[tex]\forall \epsilon > 0, \exists \delta > 0 \ni |x - a| < \delta \Rightarrow |f(x) - f(a)| < \epsilon[/tex]
Moogie said:
By this I mean, providing delta is not zero, then you can be sure than there exists numbers between a and a+delta (or a-delta) as you could always take the average of a and a+delta between them to get a number in the middle. Any of the numbers in this range could be x. Providing that delta is less than or equal to epsilon then the absolute value of the difference between any of the x's you pick in this range and this a will always be less than epsilon.

And this relationship would hold for any variable a you started with.
 
  • #25
Isn't that what i said? So long as x is in that interval?

I didn't say x could be anywhere, so long as it is in the interval defined
 
  • #26
Yes, as long as x is in that interval. That's not the same as saying that x is fixed, which I infer from this:
Moogie said:
I should have said that variable a is arbitary but once you have chosen it, it is fixed. The same applies to x.
 
  • #27
Let's look at a similar proof that is almost as easy. Prove that the function f(x) = 2x is continuous at (2, 4).

If I give you epsilon = 0.05, what delta do you choose so that for every x in (2 - delta, 2 + delta), f(x) is in (4 - epsilon, 4 + epsilon)?

Same question with epsilon = 0.001.
Same question with an arbitrary epsilon.
 
  • #28
I'm thinking...not gone
 
  • #29
If delta < epsilon/2?
 
  • #30
If that is right, how would you write it out to show it? I'm self teaching so I will never have to answer exam questions or homework questions, all i care about is getting the general principles (though i think I'm in the homework section by accident) but it would be helpful to know (if it doesn't take you or anyone a long time to type it out)
 
  • #31
Moogie said:
If delta < epsilon/2?
Yes.

Here's the proof that f(x) = 2x is continuous at (2, 4).
Let epsilon > 0 be chosen.

|f(x) - 4| < epsilon
==> |2x - 4| < epsilon
==> 2|x - 2| < epsilon
==> |x - 2| < epsilon/2

Take delta = epsilon/2

Since each of the steps above is reversible, if |x - 2| < delta, then |2x - 4| < epsilon, as required.

This example and your other example (f(x) = x) are very simple, since both functions represent straight lines. As soon as you increase the complexity to nonlinear functions, the proofs get quite a bit trickier.
 
  • #32
Hi

I don't think I'll go on to trickier problems :)

I just want to learn a bit of the proof behind some of the calculus I am learning as I feel a bit uncomfortable applying things without knowing where they come from. If I understand how the basic examples are done, I can feel comfortable the more complex examples can be prooved without knowing how to do them myself.

I'm from the UK and even in the calculus books i have for school/college level (up to 18 years old) they don't mention really touch on the theory of limits; they give an intuitive idea of what a limit is and then just dive straight in with differentiation and integration. The books I have now are american and have quite a different approach. Do you study this sort of thing at school/college in america? It seems in the UK you don't do it until university.
 
  • #33
If its not too much trouble, could i kindly ask you to show mw how to write out a quick proof that f(x) = x is continuous then I can write it up and put it with my notes so I can refer to it this time next week when I've forgotten it again.

I appreciate you have already spent more than enough time helping me on this question; your help it truly valued
 
  • #34
Here's the proof that f(x) = x is continuous at (a, f(a)) = (a, a).
Let epsilon > 0 be chosen.

|f(x) - f(a)| < epsilon
==> |x - a| < epsilon

Take delta = epsilon

Since each of the steps above is reversible, if |x - a| < delta, then |f(x) - f(a)| = |x - a| < epsilon, as required.
 
  • #35
Moogie said:
Hi

I don't think I'll go on to trickier problems :)

I just want to learn a bit of the proof behind some of the calculus I am learning as I feel a bit uncomfortable applying things without knowing where they come from. If I understand how the basic examples are done, I can feel comfortable the more complex examples can be prooved without knowing how to do them myself.

I'm from the UK and even in the calculus books i have for school/college level (up to 18 years old) they don't mention really touch on the theory of limits; they give an intuitive idea of what a limit is and then just dive straight in with differentiation and integration. The books I have now are american and have quite a different approach. Do you study this sort of thing at school/college in america? It seems in the UK you don't do it until university.
I have been out of college math teaching for about 13 years now, so I haven't really been following calculus textbooks much. Different books seemed to take different approaches with regard to how rigorously limits were presented. I don't believe that high school texts do much in the way of epsilon-delta presentations of limits, but then I haven't seen any high school texts for a good long while.
 
<H2>1. How do you prove continuity of a function using deltas and epsilons?</H2><p>To prove continuity of a function using deltas and epsilons, we must show that for any given epsilon (ε), there exists a corresponding delta (δ) such that for all x within a certain distance of a given point, the difference between the function value at x and the function value at the given point is less than epsilon.</p><H2>2. What is the significance of deltas and epsilons in proving continuity?</H2><p>Deltas and epsilons are used in the formal definition of continuity, which states that a function is continuous at a point if for any given epsilon, there exists a corresponding delta that satisfies the definition of continuity. They are essential in proving that a function is continuous at a specific point.</p><H2>3. Can you explain the concept of "arbitrarily small" in the context of deltas and epsilons?</H2><p>In the context of deltas and epsilons, "arbitrarily small" means that for any given positive number (epsilon), we can find a corresponding positive number (delta) that satisfies the definition of continuity. This means that we can make the difference between the function value at a point and the function value at a given point as small as we want, by choosing a small enough delta.</p><H2>4. What is the role of limits in proving continuity using deltas and epsilons?</H2><p>Limits play a crucial role in proving continuity using deltas and epsilons. The definition of continuity involves the limit of a function as it approaches a given point. By using limits, we can determine the behavior of a function at a specific point and use that information to find a corresponding delta that satisfies the definition of continuity.</p><H2>5. Are there any alternative methods for proving continuity besides using deltas and epsilons?</H2><p>Yes, there are alternative methods for proving continuity, such as using the intermediate value theorem or the definition of continuity in terms of limits. However, the method of using deltas and epsilons is the most commonly used and accepted approach for proving continuity of a function.</p>

1. How do you prove continuity of a function using deltas and epsilons?

To prove continuity of a function using deltas and epsilons, we must show that for any given epsilon (ε), there exists a corresponding delta (δ) such that for all x within a certain distance of a given point, the difference between the function value at x and the function value at the given point is less than epsilon.

2. What is the significance of deltas and epsilons in proving continuity?

Deltas and epsilons are used in the formal definition of continuity, which states that a function is continuous at a point if for any given epsilon, there exists a corresponding delta that satisfies the definition of continuity. They are essential in proving that a function is continuous at a specific point.

3. Can you explain the concept of "arbitrarily small" in the context of deltas and epsilons?

In the context of deltas and epsilons, "arbitrarily small" means that for any given positive number (epsilon), we can find a corresponding positive number (delta) that satisfies the definition of continuity. This means that we can make the difference between the function value at a point and the function value at a given point as small as we want, by choosing a small enough delta.

4. What is the role of limits in proving continuity using deltas and epsilons?

Limits play a crucial role in proving continuity using deltas and epsilons. The definition of continuity involves the limit of a function as it approaches a given point. By using limits, we can determine the behavior of a function at a specific point and use that information to find a corresponding delta that satisfies the definition of continuity.

5. Are there any alternative methods for proving continuity besides using deltas and epsilons?

Yes, there are alternative methods for proving continuity, such as using the intermediate value theorem or the definition of continuity in terms of limits. However, the method of using deltas and epsilons is the most commonly used and accepted approach for proving continuity of a function.

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