Lecture One In Integral
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Lecture One In Integral
* partition of an interval
In mathematics, a partition of an interval [a, b] on the real line is a finite sequence of the form
a = x0 < x1 < x2 < ... < xn = b.
Such partitions are used in the theory of the Riemann integral, the Riemann-Stieltjes integral and the regulated integral.
The norm (or mesh) of the partition
x0 < x1 < x2 < ... < xn
is the length of the longest of these subintervals; it is
max{ |xi − xi−1| : i = 1, ..., n }.
As the mesh approaches zero, a Riemann sum based on the partition approaches the Riemann integral.
A tagged partition is a partition of an interval together with a finite sequence of numbers t0, ..., tn−1 subject to the conditions that for each i,
xi
ti
xi+1.In other words, it is a partition together with a distinguished
point of every subinterval. The mesh of a tagged partition is defined
the same as for an ordinary partition. We can define a partial order
on the set of all tagged partitions by saying that one tagged partition
is bigger than another if the bigger one is a refinement of the smaller
one.
Suppose that
together with
are a tagged partition of [a,b], and that
together with
are another tagged partition of [a,b]. We say that
and
together are a refinement of
together with
if for each integer i with
, there is an integer r(i) such that xi = yr(i) and such that ti = sj for some j with
.Said more simply, a refinement of a tagged partition takes the starting
partition and adds more tags, but does not take any away.
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*Darboux integral
Definition
A partition of an interval [a,b] is a finite sequence of values xi such that

Each interval [xi−1,xi] is called a subinterval of the partition. A refinement of the partition

is a partition

such that for every i with

there is an integer r(i) such that

In other words, to make a refinement, cut the subintervals into smaller pieces and do not remove any existing cuts.
Let ƒ:[a,b]→R be a bounded function, and let

be a partition of [a,b]. Let


Lower (green) and upper (green plus lavender) Darboux sums for four subintervals
The upper Darboux sum of ƒ with respect to P is

The lower Darboux sum of ƒ with respect to P is

The upper Darboux integral of ƒ is

The lower Darboux integral of ƒ is

If Uƒ = Lƒ, then we say that ƒ is Darboux-integrable and set

the common value of the upper and lower Darboux integrals.
Facts about the Darboux integral

When passing to a refinement, the lower sum increases and the upper sum decreases.
If

is a refinement of

then

and

If P1, P2 are two partitions of the same interval (one need not be a refinement of the other), then
.It follows that

Riemann sums always lie between the corresponding lower and upper Darboux sums. Formally, if

and

together make a tagged partition

(as in the definition of the Riemann integral), and if the Riemann sum of ƒ corresponding to P and T is R, then
.From the previous fact, Riemann integrals are at least as strong as
Darboux integrals: If the Darboux integral exists, then the upper and
lower Darboux sums corresponding to a sufficiently fine partition will
be close to the value of the integral, so any Riemann sum over the same
partition will also be close to the value of the integral. It is not
hard to see that there is a tagged partition that comes arbitrarily
close to the value of the upper Darboux integral or lower Darboux
integral, and consequently, if the Riemann integral exists, then the
Darboux integral must exist as well.
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عدل سابقا من قبل Ahmed في الأحد مارس 09, 2008 9:42 pm عدل 1 مرات
Other referent(source)
Other referent(source) and more
The Riemann Darboux Sums
We're getting one step closer here, and we can finally define the
Riemann-Darboux Upper and Lower Sums. This is essentially the integral
only it's missing a key property which will be disclosed in the next
lecture.
As an example of the concept of what we're doing here, at least for
the upper sum, before showing the jumble of symbols, is we take a
partition's subinterval, and find the highest value of the function on
that interval, multiply it by the subinterval's length, get the
rectangle, and sum like crazy. The lower sum is similar only taking the
lowest value of the function.
The idea of this is similar to figure 5 in the textbook:

But let's reformat the image a bit:

Now, the GENERAL definition of an integral, in case your curiosity
peaks your interest, picks a RANDOM value of the function on the
subinterval, which is what is shown in figure 5.
Either way, here it is in it's glory:
U(P,f) =
L(P,f) =
For now I'll leave you a small exercise with the upper and lower sums, but this won't be the end of this lecture.
Summing Exercise
Let f: [0,1]
be f(x) = x, and let
to form a uniform partition P = {i/n | 0,...,n} for i from 1 to n. Find U(P,f) and L(P,f) explicitly.
Solution
1.(n+m)/2n.
More Details about the Partition: The point refinment
There is a very intimate connection that is made between the
partition, it's refinement, and the upper and lower sums that will
bring about the integral.
For now, let's examine some properties of the refinement of a
partition and its upper and lower sums. Intuitively, it makes sense
that the lower sum should be lower than the upper sum. Also, if we make
the intervals smaller by creating a more refined partition, intuitively
we should have a smaller upper sum than before (because we aren't
overestimating the upper sums), and a higher lower sum than before.
So, say we have a partition P of [a,b] and a refined partition P with ONE extra point P'=P ∪ {z}, and if
is any bounded function, then by our intuition we stated that
.
Exercise
The actual proof I'm going to leave up to you. The following might
be helpful (but if you want to be entirely creative, that's fine too):
-Working with the subinterval containing the point z separately,
comparing the sums around that point, and citing the rest by similarity.
-Noting that the proof that
is similar to the proof of
.
-You may have to cite what you've proven before in The Supremum/infimum of a function_A Small Exercise
The main idea about partitions is just that they're an ordered set of a collection of intervals.
More about partition refinements: using point refinement
We're now going to generalize what was just proven, what was proven
above could be said to be a 'weak statement' while this is a 'strong
statment'. In fact, it is not just point-refinement that share this
quality, but ANY refinement of a partition follows this!
So, if
is a bounded function and P and Q are partitions of [a,b] where Q is a refinement of P then:

Proof. For
let J(r) (in English for simplicity) be "if the Q - P has r elements,
then our statement above is satisfied." We will prove that J(r) is true
for all
by induction.
J(1), the base case, is the point-refinement proof exercise.
For the induction step assume J(r) for
.
We prove J(r + 1). Assume Q - P has r + 1 element. Let Q' be the
partition such that Q' - P has r elements. By the induction assumption:

And since Q is a one-point refinement of Q', by the exercise proof again:

And with these two inequalities we show:

Which is what we were trying to prove. Q. E. D..
Another property of the supremum
At least in my local area, we call this "the approxiamation property
of the supremum." However, local lingo might be different elsewhere,
and most of the time it isn't brought up, however, it's important for
the integrability criterion later on.
If we have a subset of the real number system
and b = sup E, then we have the following theorem:
b = sup E iff for all ε > 0 there exists
such that x > b - ε.
It has properties similar to a limit definition.
I'll go ahead and prove the converse of the biconditional:
if for all ε > 0 there exists
such that x > b - ε then b=sup E.
We'll prove this by contradiction, so assume
,
and let c be an arbitrary upper bound of E and assume c < b and let
ε = b - c then by some algebra x > c. However, this can't be, since
c is an upper bound of E, therefore
by trichotomy, which by the definition of the supremum shows that b = sup E. Contradiction, reductio ad absurdum.
Approxiamation Property Proof exercise
You do the forward. It might help to do a proof by contrapositive, and just use the definition of the supremum.
A final quantity
With all this talk about partitions and refinement we can show a last little definition:
L(f) = supPL(P,f)
U(f) = infPU(P,f)
Intuitively we can think of this as (for the first) the partition
that gives the highest lower sum value, and (for the second) the
partition that gives the lowest upper sum value. What these actually
are we'll leave as a mystery for now.
The Riemann Darboux Sums
We're getting one step closer here, and we can finally define the
Riemann-Darboux Upper and Lower Sums. This is essentially the integral
only it's missing a key property which will be disclosed in the next
lecture.
As an example of the concept of what we're doing here, at least for
the upper sum, before showing the jumble of symbols, is we take a
partition's subinterval, and find the highest value of the function on
that interval, multiply it by the subinterval's length, get the
rectangle, and sum like crazy. The lower sum is similar only taking the
lowest value of the function.
The idea of this is similar to figure 5 in the textbook:

But let's reformat the image a bit:
Now, the GENERAL definition of an integral, in case your curiosity
peaks your interest, picks a RANDOM value of the function on the
subinterval, which is what is shown in figure 5.
Either way, here it is in it's glory:
U(P,f) =

L(P,f) =

For now I'll leave you a small exercise with the upper and lower sums, but this won't be the end of this lecture.
Summing Exercise
Let f: [0,1]
be f(x) = x, and let
to form a uniform partition P = {i/n | 0,...,n} for i from 1 to n. Find U(P,f) and L(P,f) explicitly.Solution
1.(n+m)/2n.
More Details about the Partition: The point refinment
There is a very intimate connection that is made between the
partition, it's refinement, and the upper and lower sums that will
bring about the integral.
For now, let's examine some properties of the refinement of a
partition and its upper and lower sums. Intuitively, it makes sense
that the lower sum should be lower than the upper sum. Also, if we make
the intervals smaller by creating a more refined partition, intuitively
we should have a smaller upper sum than before (because we aren't
overestimating the upper sums), and a higher lower sum than before.
So, say we have a partition P of [a,b] and a refined partition P with ONE extra point P'=P ∪ {z}, and if
is any bounded function, then by our intuition we stated that
.Exercise
The actual proof I'm going to leave up to you. The following might
be helpful (but if you want to be entirely creative, that's fine too):
-Working with the subinterval containing the point z separately,
comparing the sums around that point, and citing the rest by similarity.
-Noting that the proof that
is similar to the proof of
.-You may have to cite what you've proven before in The Supremum/infimum of a function_A Small Exercise
The main idea about partitions is just that they're an ordered set of a collection of intervals.
More about partition refinements: using point refinement
We're now going to generalize what was just proven, what was proven
above could be said to be a 'weak statement' while this is a 'strong
statment'. In fact, it is not just point-refinement that share this
quality, but ANY refinement of a partition follows this!
So, if
is a bounded function and P and Q are partitions of [a,b] where Q is a refinement of P then:
Proof. For

let J(r) (in English for simplicity) be "if the Q - P has r elements,
then our statement above is satisfied." We will prove that J(r) is true
for all
by induction.J(1), the base case, is the point-refinement proof exercise.
For the induction step assume J(r) for
.We prove J(r + 1). Assume Q - P has r + 1 element. Let Q' be the
partition such that Q' - P has r elements. By the induction assumption:

And since Q is a one-point refinement of Q', by the exercise proof again:

And with these two inequalities we show:

Which is what we were trying to prove. Q. E. D..
Another property of the supremum
At least in my local area, we call this "the approxiamation property
of the supremum." However, local lingo might be different elsewhere,
and most of the time it isn't brought up, however, it's important for
the integrability criterion later on.
If we have a subset of the real number system
and b = sup E, then we have the following theorem:b = sup E iff for all ε > 0 there exists
such that x > b - ε.It has properties similar to a limit definition.
I'll go ahead and prove the converse of the biconditional:
if for all ε > 0 there exists
such that x > b - ε then b=sup E.We'll prove this by contradiction, so assume
,and let c be an arbitrary upper bound of E and assume c < b and let
ε = b - c then by some algebra x > c. However, this can't be, since
c is an upper bound of E, therefore
by trichotomy, which by the definition of the supremum shows that b = sup E. Contradiction, reductio ad absurdum.Approxiamation Property Proof exercise
You do the forward. It might help to do a proof by contrapositive, and just use the definition of the supremum.
A final quantity
With all this talk about partitions and refinement we can show a last little definition:
L(f) = supPL(P,f)
U(f) = infPU(P,f)
Intuitively we can think of this as (for the first) the partition
that gives the highest lower sum value, and (for the second) the
partition that gives the lowest upper sum value. What these actually
are we'll leave as a mystery for now.
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رد: Lecture One In Integral
the main lecture
for Prof Mohammed Zedan
in the following link
http://petroscience.yoo7.com/montada-f5/topic-t17.htm
for Prof Mohammed Zedan
in the following link
http://petroscience.yoo7.com/montada-f5/topic-t17.htm
انتظر حتى يتم تحميل الفلاش واضغط بعدها بداية العرض وستستمتع كثيرا كثيرا كثيرا
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ايميلى على الياهو : mansy2@yahoo.com
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