chapter 3 - Bentham Science
chapter 3 - Bentham Science
chapter 3 - Bentham Science
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Spreadsheet Conditional Formatting Applications of Spreadsheets in Education The Amazing Power of a Simple Tool 65<br />
be included in the school curriculum is long overdue. With just a little effort, this material may be<br />
made accessible and, hopefully, appealing to secondary school mathematics students.<br />
In this <strong>chapter</strong> we show that informative investigations may be carried out using spreadsheets[2]<br />
and present new spreadsheet-based approaches for computing and illustrating multiplication tables<br />
for modular arithmetic. The modular arithmetic spreadsheet described in this <strong>chapter</strong> allows investigation<br />
of a variety of properties and concepts in modular arithmetic, including that of modular<br />
inverse, which is essential for understanding of public-key cryptosystems such as RSA.<br />
4.2 Modular Arithmetic<br />
Due in significant part to its widespread application to cryptography and coding theory, basic knowledge<br />
of this important branch of mathematics is now considered almost essential for IT professionals,<br />
and others. However, in the experience of the authors, relatively few IT graduates seem to<br />
appreciate that integer arithmetic on a digital computer is none other than modular arithmetic. This<br />
is so, as all integer operations are performed modulo some power of 2 – it is the nature of a digital,<br />
binary CPU. All integer arithmetic done on a digital computer is with respect to a maximum word<br />
size, and therefore is modulo some positive integer. For example, on a contemporary desktop machine,<br />
an integer may be represented by 32 bits. This means that additions and multiplications will<br />
be modulo 2 32 (for cardinals), or 2 31 (for signed integers). When two integers are added on such<br />
a machine, and the sum exceeds the maximum value representable with 32 bits, e.g., 2 32 − 1 for a<br />
cardinal, then the processor overflow flag will be set, and the sum will only be correct modulo 2 32 .<br />
In many instances, this situation corresponds to a serious run-time error. However, if we are doing<br />
arithmetic modulo 2 32 , then we may legitimately ignore the overflow flag, as this is just the result<br />
we want.<br />
4.2.1 Rules of the Game<br />
What is modular arithmetic and how does it work? What are the basic rules? For the most part,<br />
these are very simple. The first concept we need is that of remainder or residue. Suppose we wish to<br />
divide 38 by 9. We have 38=(4×9)+2. In this equation, 38 is the dividend, 9 is the divisor, 4 is the<br />
quotient, and 2 called the remainder or residue. The word residue means “something left over”. By<br />
definition, it is non-negative and less than the divisor, so it could be zero. In other words, residues<br />
run from 0 up to one less than the divisor. In some contexts the divisor is called the modulus (plural<br />
moduli), and we consider this very soon. Given any dividend and a non-zero divisor, the quotient<br />
and remainder are unique. This is guaranteed by the so-called division algorithm.<br />
Theorem 4.1 (The division algorithm) Given integers n and d = 0, there exist unique integers q<br />
(quotient) and r (residue or remainder) such that n=qd+ r and 0≤r≤d− 1.<br />
Definition 4.1 In Theorem 4.1, the residue r is also written as n mod d.<br />
Example 4.1 We have 38=(4×9)+2, so 38 mod 9=2.<br />
Example 4.2 We have−38=(−5×9)+7, so−38 mod 9=7.