2. The laws of algebra

Author(s):  
Peter M. Higgins

‘The laws of algebra’ explores the three laws that govern arithmetic operations and explains how these rules are extended so that they continue to be respected as we pass from one number system to a greater one that subsumes the former. The associative law of addition shows that that (a + b) + c = a + (b + c), and the associative law of multiplication is a(bc) = (ab)c. The distributive law tells us how to multiply out the brackets: a(b + c) = ab + ac. The commutative law of addition is a + b = b + a, a law that holds equally well for multiplication: ab = ba.

2022 ◽  
Vol 14 (1) ◽  
pp. 55
Author(s):  
Shaimaa said soltan

In this document, we will present a new way to visualize the distribution of Prime Numbers in the number system to spot Prime numbers in a subset of numbers using a simpler algorithm. Then we will look throw a classification algorithm to check if a number is prime using only 7 simple arithmetic operations with an algorithm complexity less than or equal to O (7) operations for any number.


2013 ◽  
Vol 2 (2) ◽  
pp. 108
Author(s):  
Imelda Fauziah ◽  
Noza Noliza Bakar ◽  
Zulakmal .

A nonempty set R is said to be a ring if we can dene two binary operationsin R, denoted by + and respectively, such that for all a; b; c 2 R, R is an Abelian groupunder addition, closed under multiplication, and satisfy the associative law under multi-plication and distributive law. Let R be a ring. R is an Artin ring if every nonempty setof ideals has the minimal element. In this paper, the Artin ring and some characteristicsof it will be discussed.


2020 ◽  
pp. 127-139
Author(s):  
Ellen Peters

This chapter, “The Approximate Number System (ANS) and Discriminating Magnitudes,” discusses our intuitive, rather than deliberative, understanding of numbers. Humans are born with an innate sense of number and an ability to perform simple arithmetic operations with sets of objects without counting. We share this intuitive sense of numeric magnitude (how big one quantity is relative to another) with other species. Non-human animals cannot count as humans do. However, they have a keen sense of quantity that allows them to tell quickly and efficiently which quantity is bigger so that they can make better choices about food, mates, and safety. In humans, this intuitive sense of numbers develops from infancy to adulthood, and it appears to underlie the emergence of symbolic math ability (objective numeracy) in children.


2003 ◽  
Vol 9 (6) ◽  
pp. 294-299 ◽  
Author(s):  
Rusty Bresser

Students who are computationally fluent can solve problems accurately, efficiently, and with flexibility. These students draw on a repertoire of strategies when solving problems, and their choice of strategies often depends on the type of problem they are solving and the numbers involved. Computational fluency is rooted in an understanding of arithmetic operations, the base-ten number system, and number relationships. Communicating mathematical ideas is fundamental to developing computational fluency. When students share their solution strategies with others, they learn that there are many ways to solve problems and that some strategies are more efficient than others.


Sign in / Sign up

Export Citation Format

Share Document