Antiderivative as Area under Curve

In summary: The statement that any set contains the empty set is, by convention, true. This is an example of a vacuous truth. @HallsofIvy: I don't believe content zero (as I've defined it) is equivalent to Lebesgue measure zero. The latter does not require a finite cover, merely a countable one.In summary, the conversation discusses the relationship between the antiderivative and the area under a curve, and the conditions for integration to be valid. It is determined that continuity of the curve on the given domain is sufficient for integrability, but not necessary. The concept of "zero content" or "measure 0" is also introduced, with
  • #1
Gear300
1,213
9
The proof I'm familiar with for relating the antiderivative to the area under a curve involves usage of the mean value theorem, which for that particular case, implies continuity for the curve. Thus, integration as a process for finding the area under a curve should be valid under the conditions that the curve is continuous for the given domain, right?
 
Physics news on Phys.org
  • #2
The definition for the area under a bounded curve y=f(x) over some interval [a,b] is the value of the integral:
[tex]\int_a^b \! f(x) \, dx[/tex]
Of course f must be nonnegative on [a,b] to yield the area - otherwise the integral calculates the signed area.
The question remaining is of the existence of this integral. Continuity of f on [a,b] is certainly sufficient for existence, however it is not necessary. More generally, integrability is guaranteed if the set S of discontinuities of f on [a,b] has zero content; that is, if, for every e>0, S can be covered by finite collection of closed intervals whose total length is less than e. In particular, if f is continuous on [a,b] then S is the empty set, which has zero content.
 
  • #3
elemental09 said:
Continuity of f on [a,b] is certainly sufficient for existence...

elemental09 said:
More generally, integrability is guaranteed if the set S of discontinuities of f on [a,b] has zero content...In particular, if f is continuous on [a,b] then S is the empty set, which has zero content.

This may be a bit obvious...but what is the difference in the 2 claims?
 
  • #4
Gear300 said:
The proof I'm familiar with for relating the antiderivative to the area under a curve involves usage of the mean value theorem, which for that particular case, implies continuity for the curve. Thus, integration as a process for finding the area under a curve should be valid under the conditions that the curve is continuous for the given domain, right?
I'm not sure what your question is. Yes, if a function is continuous on a given domain, and bounded (which, if the domain is closed and bounded, follows from continuity, then it is certainly integrable. You seem to asking if the other way is true: does integrability imply continuity. The answer to that is "no". If the function has isolated points of discontinuity, apply the proof you are familiar with to the intervals between the points of discontinuity. Whatever partition of the interval you are using, you can always add the points of discontinuity as endpoints, getting a "refinement" of your partition. Now whether you can do that in a way that guarentees integrability depends on the function.

Note that if a function is continuous on a closed and bounded interval, then it is integrable there. If the function is not continuous then it MAY be integrable.
 
  • #5
Gear300 said:
This may be a bit obvious...but what is the difference in the 2 claims?
"zero content" means "measure 0" as defined in Lebesque measure. In addition to the empty set any finite or countable set has measure 0. And there exist uncountable sets that have measure 0.
 
  • #6
HallsofIvy said:
I'm not sure what your question is. Yes, if a function is continuous on a given domain, and bounded (which, if the domain is closed and bounded, follows from continuity, then it is certainly integrable. You seem to asking if the other way is true: does integrability imply continuity. The answer to that is "no". If the function has isolated points of discontinuity, apply the proof you are familiar with to the intervals between the points of discontinuity. Whatever partition of the interval you are using, you can always add the points of discontinuity as endpoints, getting a "refinement" of your partition. Now whether you can do that in a way that guarentees integrability depends on the function.

Note that if a function is continuous on a closed and bounded interval, then it is integrable there. If the function is not continuous then it MAY be integrable.

I see...so essentially, points of discontinuity may be taken as endpoints of continuous partitions of the domain, right?

HallsofIvy said:
In addition to the empty set any finite or countable set has measure 0. And there exist uncountable sets that have measure 0.

By this, do you mean that every set contains the null set?
 
  • #7
Gear300 said:
By this, do you mean that every set contains the null set?

"Null set" has two meanings.

THE null set, [tex]\varnothing[/tex] is the set that has no elements.

A null set, on the other hand, is a set that has no "width" to it. It's also called a "set of measure zero."

A null set is roughly a set that doesn't contain some real interval, [a, b]. A single point has no width to it. Neither does two points. Even if you have several million points, together they have no width. Even if you choose a countably infinite number of points (such as the set of all integers or the set of all rationals), it STILL doesn't have any width to it.

THE null set is just one example of A null set. Be careful to distinguish between them!
 
  • #8
The statement that any set contains the empty set is, by convention, true. This is an example of a vacuous truth.

@HallsofIvy: I don't believe content zero (as I've defined it) is equivalent to Lebesgue measure zero. The latter does not require a finite cover, merely a countable one.
 
  • #9
Tac-Tics said:
"Null set" has two meanings.

THE null set, [tex]\varnothing[/tex] is the set that has no elements.

A null set, on the other hand, is a set that has no "width" to it. It's also called a "set of measure zero."

A null set is roughly a set that doesn't contain some real interval, [a, b]. A single point has no width to it. Neither does two points. Even if you have several million points, together they have no width. Even if you choose a countably infinite number of points (such as the set of all integers or the set of all rationals), it STILL doesn't have any width to it.

THE null set is just one example of A null set. Be careful to distinguish between them!


I suppose this falls under measure theory...interesting, though I'm not really aware of its content. The only null set I knew of is THE null set. What branch of mathematics does measure theory fall under?

elemental09 said:
The statement that any set contains the empty set is, by convention, true. This is an example of a vacuous truth.

What meaning does a vacuous truth have (mathematically)?
 
  • #10
Not sure how to precisely phrase it, but, roughly, a vacuous truth is a statement which only applies to elements of the empty set. For example, "every element of the empty set is an even number" is vacuously true. Wikipedia has a decent article on this.
My statement that any set S contains the empty set is vacuously true since, turning to the definition of set containment, every element of the empty set is in S. This is true because there are no elements in the empty set.
 
  • #11
elemental09 said:
Not sure how to precisely phrase it, but, roughly, a vacuous truth is a statement which only applies to elements of the empty set. For example, "every element of the empty set is an even number" is vacuously true. Wikipedia has a decent article on this.
My statement that any set S contains the empty set is vacuously true since, turning to the definition of set containment, every element of the empty set is in S. This is true because there are no elements in the empty set.

Heheh...the definition is slightly odd to me. Its sort of like saying that everything that has something also has nothing.
 
  • #12
It's not so much a definition as it is something that has to be true. By the definition of containment, the only way that the empty set cannot be contained in another set A is if there exists an element of the empty set that is in A, and this is clearly absurd. It's not so strange that the empty set is part of every set when you realize that you obtain the empty set by applying the axiom of specification to an arbitrary set A with the condition "x =/= x".
 
  • #13
Just to toss this in...

I believe this is correct:

A function defined on an interval [a, b] is Riemann integrable (on [a, b]) if and only if it of bounded variation.

The definition of bounded variation is a bit deep and any book on real analysis should contain it (lots of lim sups and lim infs).

--Elucidus
 
  • #14
snipez90 said:
It's not so much a definition as it is something that has to be true. By the definition of containment, the only way that the empty set cannot be contained in another set A is if there exists an element of the empty set that is in A, and this is clearly absurd. It's not so strange that the empty set is part of every set when you realize that you obtain the empty set by applying the axiom of specification to an arbitrary set A with the condition "x =/= x".

I see...I'm getting it bit by bit...but for clarity, what is in bold was supposed to be "is not in A," right?

Elucidus said:
Just to toss this in...

I believe this is correct:

A function defined on an interval [a, b] is Riemann integrable (on [a, b]) if and only if it of bounded variation.

The definition of bounded variation is a bit deep and any book on real analysis should contain it (lots of lim sups and lim infs).

--Elucidus

Interesting...I guess I'll have to look that up...but if I were to take a guess from a bit of what I just read, it would have something to do with asymptotic behavior?
 
  • #15
Gear300 said:
Interesting...I guess I'll have to look that up...but if I were to take a guess from a bit of what I just read, it would have something to do with asymptotic behavior?

Just to give a glimpse.

Let [itex]P=\{x_0,x_1,x_2, \dots,x_n\}[/tex] be a set of points so that [itex]a=x_0<x_1<x_2< \dots <x_n=b[/itex].

Given a function f defined on [a, b] we say the variation of f with respect to P is

[tex]var (f,P)=\sum_{k=1}^{n}\left| f(x_k)-f(x_{k-1}) \right|.[/tex]​

If a different list of points (say Q) is used then var(f, Q) may differ from var(f, P) (either more or less).

But if there exists a bound B so that var(f, P*) <= B for any list of points P* then f is said to be of bounded variation.

I believe that all functions that are piecewise continuous (and just continuous) are of bounded variation.

Now, there is a small chance I am slightly mistaken in my original claim (my analysis book is not handy so I can't look it up).

--Elucidus
 
  • #16
The characteristic function of the complement of the Cantor set on [0,1] is Riemann integrable and its set of discontinuities is uncountable. Measure zero is the correct criterion.

With Lebesgue integrals the set of discontinuities can have positive measure. e.g.the characteristic function of the irrationals on [0,1].

When the function is continuous, it integral is differentiable. Otherwise its integral is only continuous - I don't event think that is is piece wise differentiable in the case of the Cantor set example.

Interestingly, if you take the characteristc function of the complement of a Cantor set of positive measure then it can not be integrated. I wish I had an intuition for this.
 
Last edited:
  • #17
Elucidus said:
Just to toss this in...

I believe this is correct:

A function defined on an interval [a, b] is Riemann integrable (on [a, b]) if and only if it of bounded variation.

The definition of bounded variation is a bit deep and any book on real analysis should contain it (lots of lim sups and lim infs).

--Elucidus

A bounded function that is continuous almost everywhere is the condition you want. There are bounded continuous functions that are not of bounded variation.
 
Last edited:

Related to Antiderivative as Area under Curve

1. What is an antiderivative?

An antiderivative is the inverse operation of a derivative. It is a function that, when differentiated, produces the original function.

2. How is the antiderivative related to the area under a curve?

The antiderivative represents the total area under a curve between two points on a graph. This is known as the fundamental theorem of calculus.

3. Why is the antiderivative useful in science?

The antiderivative allows scientists to calculate the total change in a quantity over time, represented by the area under a curve. This is useful in many fields, including physics, economics, and engineering.

4. Can the antiderivative be calculated for any function?

Not all functions have an antiderivative that can be expressed in terms of elementary functions. In these cases, numerical methods or approximations must be used to find the antiderivative.

5. How can the antiderivative be applied to real-world problems?

The antiderivative is used in various scientific and mathematical fields to analyze and understand real-world phenomena. For example, it can be used to model population growth, predict future stock prices, and calculate the work done by a force over a distance.

Similar threads

Replies
2
Views
2K
Replies
3
Views
502
Replies
3
Views
1K
  • Calculus
Replies
2
Views
967
Replies
7
Views
2K
Replies
11
Views
1K
Replies
13
Views
2K
Replies
3
Views
1K
Replies
4
Views
3K
  • Introductory Physics Homework Help
Replies
5
Views
517
Back
Top