Binary operations and their propertiesAQA A-Level Further Maths: Revision notes
Section 1
Binary operations and closure
A binary operation on a set combines any two elements and of to give a result . It is closed on if is always in .
- Examples: addition on the integers, multiplication of real numbers, on the reals, and multiplication of matrices.
- To show a set is closed, show for general that . To show it is not closed, give one pair whose result is outside (for example, subtraction on the natural numbers: ).
- Order matters: means first, then .
Example: for , .
Substituting into the wrong places. Write with and clearly replaced before you simplify.
Bracket negative numbers when substituting, for example with .
Section 2
Modular arithmetic and matrices as operations
Modular arithmetic. On , addition modulo () and multiplication modulo () are binary operations: add or multiply as usual, then take the remainder on division by . For example, and .
Matrix multiplication. Multiplication of matrices is a binary operation on the set of all matrices. For a smaller set, check closure by multiplying general members. For matrices of the form , the product of two of them is , which is of the same form, so the set is closed.
Forgetting to reduce modulo , giving an answer outside the set.
Remember is the remainder of , so an answer such as in the set modulo 6 becomes .
Section 3
Commutativity
An operation is commutative if for all in the set.
- To prove it, take general and and show the two expressions are equal, using known laws. Example: because addition and multiplication of reals are commutative.
- To disprove it, one counter-example is enough. For : but .
- Matrix multiplication is not commutative in general: for most pairs, so a counter-example with two chosen matrices disproves it. It may still be commutative on a special set, such as matrices with product .
Testing a few numbers and concluding the operation is commutative. A proof needs general and .
Use unequal values, such as 1 and 2, for a counter-example, since equal values never show non-commutativity.
Section 4
Associativity
An operation is associative if for all .
- To prove it, expand both sides separately and show they simplify to the same expression. For : .
- To disprove it, give one counter-example. For : but .
- Addition and multiplication of integers, modular addition and multiplication, and matrix multiplication are all associative.
Associativity means that a chain such as is unambiguous without brackets.
Working out only one of and . You must expand both.
Expand each side to the same standard form, such as a sum of terms in alphabetical order, so they are easy to compare.
Section 5
Cayley tables
A Cayley table lists every product of a finite set: the element on the left (row) is the first element and the element along the top (column) is the second.
For on :
- Closed: every entry in the table is an element of the set.
- Commutative: the table is symmetric about the leading diagonal (top left to bottom right).
- Associativity cannot be read from the table easily, so it is proved separately, or known from the operation.
To construct a table, work out each entry carefully using the rule, row by row, and check that each entry is in the set.
Reading with the column first. The row element is the first element, which matters for operations that are not commutative.
Check symmetry in pairs: compare each entry with its mirror image across the leading diagonal.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on Binary operations and their properties
- The binary operation is defined on the set of real numbers by .Show that is not associative.2 marks
- The binary operation is defined on the set by the remainder when is divided by 6, that is multiplication modulo 6.Prove that is commutative.2 marks
- The binary operation is defined on the set by the remainder when is divided by 5.Construct the Cayley table for on , with the first element of given by the row.3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).