Math 110.109, Calculus II (Physical Science and Engineering)
Spring 2011 Course Lecture Synopses
Week
1: January 31 February 4,
2011
http://www.mathematics.jhu.edu/brown/courses/s11/109.htm
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Below is some basic information pertaining to the lectures of this course. I will update this page after each lecture or two to benefit both the students in their attempts to organize the material for the course, and the TAs so that they know what material I covered and how it was covered. Please direct any comments about this page to me at the above contact information. |
· Monday,
January 31: Welcome to the course!
After a not-so-brief introduction to the purpose and focus of this
course, as well as where it sits in your mathematical present and future, and
how I will run it and such, I started on the content. Starting in Chapter 7, Techniques of
Integration, I used the idea that integration is the opposite of
differentiation to establish the central focus of this chapter; that integration, or anti-differentiation, in
general is much more difficult, if even possible at times, to do. But the patterns found in the differentiation
rules we already have studied can lead to techniques of integration that are
remarkably powerful in those cases where the pattern can be recognized. Undoing the Power Rule (Section 3.1) , which works for all real numbers
, is solely a matter of recognizing the pattern:
. Sometimes
this rule is referred to as the Anti-Power Rule, and works for almost all real
numbers
(can you see
where it doesn’t? Do you know why it
doesn’t?) I started the discussion by
bringing this up and then rehashing the Substitution Method, which I call the
Anti-chain Rule. The reason is that the
pattern one looks for in an integrand to use this method, is
; the integrand
is a product of functions, one factor of which is a composition of two
functions and the other factor is the derivative of the “inside” function. This pattern of the integrand is precisely
the derivative of a composition of two functions
, where
is the
anti-derivative of
. Thus, we get
, where
and
. I used the
example of
to
illustrate. This leads to the next
step. Another integration technique
derived from a rule of differentiation is the technique called “Integration by
Parts”. Recall the Product Rulein
differentiation:
(Note that this
implies that the derivative of a product is NOT the product of the
derivatives!) Since each side of the
equality is a function of
, the respective anti-derivatives will also be equal
(up to a constant!) Thus we get a new
relationship by integrating:
. We can use
the Fundamental Theorem of Calculus on the left hand side, and solve for one of
the right hand side elements to get what is commonly called Integration by
Parts rule, or what I call the Anti-product Rule:
. Why this may
create an advantage can almost be immediately seen. Suppose you had a product of functions as an
integrand. Since it is obvious that the
anti-derivative of a product will not in general be a product of the anti-derivatives,
often it is not easy to see the anti-derivative readily. But if the two factors are such that 1) the
antiderivative of
is easy to
calculate, while the derivative of
is easier to
work with in an integral, then the right-hand side would be easier to calculate
than the original problem. I ended the
lecture with the example
, and a quick idea of just how this technique would
work well here.
· Wednesday,
February 2: I started this
lecture with a review of the last lecture, noting that there is another
notational way to see the Anti-Product Rule:
Namely, let
and
, so
and
. Then we can
write the rule as
. This makes
the rule more of a double substitution.
However, I caution that it is not really a double substitution in the
same way as that of the Substitution Rule, since one would not use this double
sub to change the limits. The limits
stay the same in a definite integral under this new rule. For examples, I did in detail the example I
ended with last time, that of
. Then I did an
example of a definite integral;
. This last
example provides another use for this technique: When you find yourself with an integrand that
is only a single function, and is one whose derivative you know and can work
with in an integral. In this case, let
be the entire
integrand, and
. Then the
right hand side, in many cases, becomes a readily computable integral. In the case of the last example, we got
. You can
finish this one, no? I then detailed the
example of
. In this case,
again let
and
. One can
calculate
using a
triangle and implicit differentiation (I did this in class). Then using Integration by Parts, one gets
, which can now be solved using the substitution
(do this in
your notes!). I also talked about the
notion that sometimes you have to do this technique more than once, like in the
example
. Here, let
and
. Then
. The
right-hand-side integral requires another dose of Integration by parts. The full calculation is
. I then talked
about how sometimes, the purpose is not completely to “solve” an integral by
integration, really. It is more to
“process” the integral to a point where one can “solve” for it
algebraically. I ended the lecture with
the example of
. It is in the
book, and I did the first part explicitly in class. I chose my functions in class differently
from the book, however, to give you an idea that one can perform these
calculations differently from other people.
As long as it is done correctly, it does not matter. For class, I chose
and
(compare with
the example of the book). I got
. While this
seems to take us back to where we started from, we can now take the last
equation and solve for
, and wind up with
, so that
. You should
check that the derivative of this right hand side gives you the original
integrand.
· Friday,
February 4: Today,
I finished the discussion on the Integration by Parts section with the example
of , where of course
is an
integer. Letting, in this case,
and
, one can use the IbP technique to show that the
following formula holds:
, which I did in detail. This is an example of a “reduction” formula,
as an application of this technique reduces the degree of the resulting
integral by 2. One can see immediately
that it would allow for the calculation of any positive power
, although large powers would result in long
calculations. See the Extra Problem from
Section 7.2 on the course webpage for an example. Now, as an alternative, if
is odd, one
could strip off a single factor
, rewrite the other even powered
, and with the substitution
, we get
. While this
does not look any easier, the integrand is really only a polynomial. Multiply it out and the integration is
easy. Now, for many integrals involving trigonometric
functions, a clever substitution or the use of a identity can be vital. Section 7.2 is simply a section devoted to
some patterns found in many integrals involving trigonometric functions, and
some techniques for exposing their structure and solving them. One pattern is
. If one of the
powers is odd, then a quick substitution is very useful. For example, if
is odd, then
. The last is
simply a polynomial which can be multiplied out and integrated nicely. A similar situation would hold if
were odd. If they are both even, then the situation is
less straightforward. However, the
Example for Section 7.2 that I drew up here is a nice example of what happens
in this case. I also talked about other
patterns with some examples, like
, or
, where
and
are different
(use an identity like
). This section is really just a collection of
things like this. Next class, we will
move on to a more coherent technique involving integrals that are not
trigonometric until AFTER the substitution.