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Binary operations and their propertiesAQA A-Level Further Maths: Revision notes

Section 1

Binary operations and closure

A binary operation ∗\ast on a set SS combines any two elements aa and bb of SS to give a result a∗ba\ast b. It is closed on SS if a∗ba\ast b is always in SS.

  • Examples: addition on the integers, multiplication of real numbers, a∗b=2a+3ba\ast b=2a+3b on the reals, and multiplication of 2×22\times2 matrices.
  • To show a set is closed, show for general a,b∈Sa,b\in S that a∗b∈Sa\ast b\in S. To show it is not closed, give one pair whose result is outside SS (for example, subtraction on the natural numbers: 2−5=−32-5=-3).
  • Order matters: a∗ba\ast b means aa first, then bb.

Example: for a∗b=a+b−aba\ast b=a+b-ab, 3∗(−1)=3+(−1)−(3)(−1)=2+3=53\ast(-1)=3+(-1)-(3)(-1)=2+3=5.

Key termsbinary operationclosed
Common mistake

Substituting into the wrong places. Write a∗ba\ast b with aa and bb clearly replaced before you simplify.

Exam tip

Bracket negative numbers when substituting, for example a+b−aba+b-ab with b=−1b=-1.

Section 2

Modular arithmetic and matrices as operations

Modular arithmetic. On {0,1,…,n−1}\{0,1,\ldots,n-1\}, addition modulo nn (⊕\oplus) and multiplication modulo nn (⊗\otimes) are binary operations: add or multiply as usual, then take the remainder on division by nn. For example, 4⊗5=20≡2(mod6)4\otimes5=20\equiv2\pmod6 and 4⊕5=9≡3(mod6)4\oplus5=9\equiv3\pmod6.

Matrix multiplication. Multiplication of 2×22\times2 matrices is a binary operation on the set of all 2×22\times2 matrices. For a smaller set, check closure by multiplying general members. For matrices of the form (1a01)\begin{pmatrix} 1 & a \\ 0 & 1 \end{pmatrix}, the product of two of them is (1a+b01)\begin{pmatrix} 1 & a+b \\ 0 & 1 \end{pmatrix}, which is of the same form, so the set is closed.

Key termsmodular arithmeticremainder
Common mistake

Forgetting to reduce modulo nn, giving an answer outside the set.

Exam tip

Remember x⊗yx\otimes y is the remainder of xyxy, so an answer such as 1212 in the set modulo 6 becomes 00.

Section 3

Commutativity

An operation ∗\ast is commutative if a∗b=b∗aa\ast b=b\ast a for all a,ba,b in the set.

  • To prove it, take general aa and bb and show the two expressions are equal, using known laws. Example: a+b−ab=b+a−baa+b-ab=b+a-ba because addition and multiplication of reals are commutative.
  • To disprove it, one counter-example is enough. For a∗b=2a+3ba\ast b=2a+3b: 1∗2=81\ast2=8 but 2∗1=72\ast1=7.
  • Matrix multiplication is not commutative in general: AB≠BAAB\neq BA 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 (1a01)\begin{pmatrix} 1 & a \\ 0 & 1 \end{pmatrix} with product (1a+b01)\begin{pmatrix} 1 & a+b \\ 0 & 1 \end{pmatrix}.
Key termscommutativecounter-example
Common mistake

Testing a few numbers and concluding the operation is commutative. A proof needs general aa and bb.

Exam tip

Use unequal values, such as 1 and 2, for a counter-example, since equal values never show non-commutativity.

Section 4

Associativity

An operation ∗\ast is associative if (a∗b)∗c=a∗(b∗c)(a\ast b)\ast c=a\ast(b\ast c) for all a,b,ca,b,c.

  • To prove it, expand both sides separately and show they simplify to the same expression. For a∗b=a+b−aba\ast b=a+b-ab: (a∗b)∗c=a+b+c−ab−ac−bc+abc=a∗(b∗c)(a\ast b)\ast c=a+b+c-ab-ac-bc+abc=a\ast(b\ast c).
  • To disprove it, give one counter-example. For a∗b=2a+3ba\ast b=2a+3b: (1∗1)∗1=13(1\ast1)\ast1=13 but 1∗(1∗1)=171\ast(1\ast1)=17.
  • Addition and multiplication of integers, modular addition and multiplication, and matrix multiplication are all associative.

Associativity means that a chain such as a∗b∗ca\ast b\ast c is unambiguous without brackets.

Key termsassociative
Common mistake

Working out only one of (a∗b)∗c(a\ast b)\ast c and a∗(b∗c)a\ast(b\ast c). You must expand both.

Exam tip

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 a∘ba\circ b 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 a∘b=ab mod 5a\circ b=ab\bmod5 on {1,2,3,4}\{1,2,3,4\}: ∘123411234224133314244321\begin{array}{c|cccc} \circ & 1 & 2 & 3 & 4 \\ \hline 1 & 1 & 2 & 3 & 4 \\ 2 & 2 & 4 & 1 & 3 \\ 3 & 3 & 1 & 4 & 2 \\ 4 & 4 & 3 & 2 & 1 \end{array}

  • 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.

Key termsCayley tableleading diagonal
Common mistake

Reading a∘ba\circ b with the column first. The row element is the first element, which matters for operations that are not commutative.

Exam tip

Check symmetry in pairs: compare each entry with its mirror image across the leading diagonal.

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Exam questions on Binary operations and their properties

  1. The binary operation ∗\ast is defined on the set of real numbers by a∗b=2a+3ba\ast b=2a+3b.
    Show that ∗\ast is not associative.2 marks
  2. The binary operation ⊗\otimes is defined on the set {0,1,2,3,4,5}\{0,1,2,3,4,5\} by x⊗y=x\otimes y= the remainder when xyxy is divided by 6, that is multiplication modulo 6.
    Prove that ⊗\otimes is commutative.2 marks
  3. The binary operation ∘\circ is defined on the set S={1,2,3,4}S=\{1,2,3,4\} by a∘b=a\circ b= the remainder when abab is divided by 5.
    Construct the Cayley table for ∘\circ on SS, with the first element of a∘ba\circ b given by the row.3 marks
See the full worksheet

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).