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## Introduction

*This is just a short note to provide an alternative way of proving and using De Moivre’s Theorem. It is inspired by the fact that the geometric multiplication of complex numbers appeared on the Leaving Cert Project Maths paper (even though it isn’t on the syllabus — lol). It assumes familiarity with the basic properties of the complex numbers.*

## Complex Numbers

Arguably, the complex numbers arose as a way to find the roots of *all* polynomial functions. A polynomial function is a function that is a sum of powers of . For example, is a polynomial. The highest non-zero power of a polynomial is called it’s *degree*. Ordinarily at LC level we consider polynomials where the multiples of — the coefficients — are real numbers, but a lot of the theory holds when the coefficients are complex numbers (note that the Conjugate Root Theorem only holds when the coefficients are real). Here we won’t say anything about the coefficients and just call them numbers.

### Definition

Let be numbers such that . Then

,

is a *polynomial of degree .*

In many instances, the first thing we want to know about a polynomial is what are its *roots. *The roots of a polynomial are the inputs such that the output .

**Made a slip somewhere in the tutorial and rather looking for it I said I’d put it up here — the point is that the term disappears so we have a differential equation in and — in other words a function and it’s derivative. This can then be integrated in the usual way.**

*Verify that is a solution to the second order ODE*

* (*)*

**Solution**

We have that and . Hence

as required. That is is a solution.

# The Question

*The pressure, volume, and temperature of an ideal gas are related by the equation (*when pressure is measured in kilopascals*). Find the rate at which the pressure is changing when the temperature is 300 K and increasing at a rate of 0.1 K s**, and the volume is 100 L and increasing at a rate of 0.2 L s**.*

# Solution

First of all, solving for *:*

*.*

Now we can go further and say that both and are functions of time, . So we have:

.

*Express every solution of the given system as the sum of a specific solution plus a solution of the associated homogeneous system:*

**Solution: **This question essentially asks you to use Theorem 3.4. Theorem 3.4 states that to solve the linear system of equations;

(*)

it is sufficient to find *some/ any *(among all the solutions – if one exists) solution , find the solution to the homogeneous system, :

,

and that the general solution to (*) will be .

Realistically you wouldn’t use this method to solve this problem (Q.4 (ii)) – we are more seeing how this theorem works as ye will be using it later in solving linear differential equations.

**This question was asked at Monday’s tutorial (10/01/11) but the fire alarm went off mid-solution**

**Section 6.4, Q. 5**

*Evaluate the following integral:*

**Solution**

*(Remarks in italics are by me and would not be required in an exam situation)*

*Simplify the integrand to get it into a usable form:*

*Rule 1 (Section 6.4)*

*Given a rational function with , such that factors into non-repeated linear terms:*

*(non-repeated means that no linear term is equal to a constant multiple of another; e.g. for , )*

*Then*

*for some constants .*

**Section 8.8, Q. 4**

*Find the Taylor series expansion of the function ** about the point **.*

(This question was asked at Friday’ tutorial but, with one eye on the answer given, I was unable to do it. Having looked at the problem again I’m sure that the question should have been:)

*Find the Taylor series expansion of the function ** about the point **.*

(I have indicated this issue to Prof. Stynes)

**Solution**

The Taylor series of any infinitely differentiable function about a point is given by the power series:

Computing the first few derivatives of :

This is valid for . At , . Hence we have;

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.)**

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*

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