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This note is primarily about LC Project Maths but also contains details on the Old Syllabus
The Leaving Cert mocks are coming up very fast but don’t fret. There is a lot of time in between February and June to learn maths – but there will be no more chances to test your skills as an examinee. This short note will focus on five areas which you must address to get the maximum benefit from your mocks.
A short note covering integration for Leaving Cert maths.
(Please note that the proof of the Fundamental Theorem of Calculus inside isn’t quite correct. We need the Mean Value Theorem to prove it but the one in here is just for illustrative purposes.)
The Binomial Theorem is easier and more naturally proven in a combinatorics context but can be proven by induction.
Problem: Prove the Binomial Theorem by Induction.
Solution: Let be the proposition that for
,
(Binomial Theorem)
:
( is true)
Now assume is true; that is:
Now
Now all terms are of the form as
runs from
. Let
. Now the
term has constant from
and
:
It is a straightforward exercise to show:
Hence
( is true)
is true.
. Hence
is true for all
; i.e. the Binomial Theorem is true
For those doing Project Maths at Leaving Cert, an initial stumbling block will be on how to revise. The best way to revise mathematics is by doing exercises and a ready supply of these is traditionally found in past exam papers:
http://examinations.ie/index.php?l=en&mc=en&sc=ep&formAction=agree
However you might be under the impression that these past papers are useless with the new syllabus: not necessarily. For those doing Project Maths in 2011, the syllabus is to be found at:
Strand 5, “Functions”, doesn’t become examinable until 2012. However this topic includes differentiation and integration, which will certainly be examinable as per the old syllabus.
Essentially the past papers may be done partially. Paper 1, Q. 6-8 is definitely fair game. Figuring out which of the other questions on past papers are still relevant involves cross-checking the new syllabus with the old.
Here we present the proof of the following theorem:
Let be functions that are differentiable at some
. If
, then
is differentiable at
with
Quotient Rule
Remark: In the Leibniz notation,
Proof: Let :
Letting on both sides:
Hopefully. The following note (in progress) might help you understand the power and proper functioning of basic real algebra Short_note_on_algebra
MATH6037 please skip to the end of this entry.
The sum, product and quotient rules show us how to differentiate a great many different functions from the reals to the reals. However some functions, such as are a composition of functions, and these rules don’t tell us what the derivative of
is. There is, however, a theorem called the chain rule that tells us how to differentiate these functions. Here we present the proof. In class we won’t prove this assertion but we will make one attempt to explain why it takes the form it does. In general only practise can make you proficient in the use of the chain rule. See http://euclid.ucc.ie/pages/staff/wills/teaching/ms2001/exercise3.pdf or any other textbook (such as a LC text book) with exercises.
Proposition 4.1.8 (Chain Rule)
Let be functions, and let
denote the composition
(that is
for each
). If
such that
is differentiable at
and
is differentiable at
, then
is differentiable at
with
Here we present the proof of assertions 3. and 4. of the following proposition. The proofs of 1. and 2. will be presented in class and here they are assumed. The proofs presented here will not be presented in class.
Proposition 3.1.4 (Calculus of Limits)
Suppose that and
are two functions
, and that for some
we have
, and
.
for some . Then
-
.
- If
,
.
.
- If
,
.
- If
, and
then
.
- Read the rest of this entry »
At Leaving Cert you are only required to prove the Factor Theorem for cubics. This is a more general proof.
The Factor Theorem is an important theorem in the factorisation of polynomials. When is a factor of a polynomial
then
for some polynomial
and clearly
is a root. In fact the converse is also true. Most proofs rely on the division algorithm and the remainder theorem; here a proof using strong induction on the degree of the polynomial is used. See Hungerford, T.W., (1997), Abstract Algebra: An Introduction. Brooks-Cole: U.S.A for the standard proof (this reference also describes strong induction).
Factor Theorem
is a root of a polynomial
if and only if
is a factor:
where
is a polynomial.
Proof:
Suppose deg . Then
and
. Clearly
and
is a polynomial (of degree 0).
Suppose for all polynomials of degree less than or equal to , that
a root implies
a factor. Let
be a polynomial of degree
and assume
a root. Now
Now each for
is a polynomial of degree less than or equal to
, with a root
, hence
is a factor of each. Thence
where
is a polynomial:
Now but
is a polynomial of degree
with root
and hence
is a factor:
Hence
Hence a factor

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