University Notes: Binary Operations, Set Theory, and Binomial Theorem

Foundations and Applications of Binary Operations

  • Definition: A binary operation is a mathematical rule that combines two elements from a non-empty set (typically the set of real numbers R\mathbb{R}) to produce a specific third element. It is considered the foundation of digital logic circuits.

  • General Notations: Besides the standard arithmetic operators (++, −-, ×\times, ÷\div), binary operations are often represented by symbols such as ⊗\otimes, ⊕\oplus, ⨄\biguplus, ∗\ast, ⋄\diamond, Δ\Delta, \ǝ, or ω\omega.

  • Algebraic Interpretation: An operation can be defined by a specific rule. For instance, the statement "the result is the difference of the product of two numbers and the sum of the same two numbers" is expressed as a∗b=(a×b)−(a+b)a \ast b = (a \times b) - (a + b).

  • Fields of Application:

    • Computer Programming: Used for digital logic and computer arithmetic.

    • Electrical Engineering: Applied in coding theory.

    • Number Theory: Defines properties like divisibility and prime factorization.

    • Logic: Interprets the truth or falsehood of statements.

    • Finance: Models complex calculations such as compound interest.

  • Evaluation via Substitution: To solve a binary operation expression, the given numerical values are substituted into the defined variables.

    • Example 1: If pΔq=p+q+pqp \Delta q = p + q + pq, then for 3Δ43 \Delta 4, substitute p=3p = 3 and q=4q = 4 to get 3+4+(3×4)=193 + 4 + (3 \times 4) = 19.

    • Example 2: Complex rational operations such as x \ǝ y = \frac{4x + 5y + 2xy}{3y + 2x} involve substituting values for xx and yy and simplifying the resulting fraction.

    • Example 3: Finding an unknown member. If m∗n=m−nnm \ast n = \frac{m - n}{n} and 3∗q=123 \ast q = \frac{1}{2}, then 12=3−qq\frac{1}{2} = \frac{3 - q}{q}. Solving for qq yields q=2(3−q)q = 2(3 - q), resulting in 3q=63q = 6 and q=2q = 2.

Properties of Binary Operations

  • Closure: A binary operation Δ\Delta is closed under a set AA if, for every element xx and yy in set AA, the result xΔyx \Delta y is also a member of set AA.

    • Addition and Multiplication: These are closed under the set of Natural numbers (N\mathbb{N}) and Integers (Z\mathbb{Z}).

    • Subtraction and Division: Subtraction is closed under the set of Integers but not Natural numbers (e.g., 2−4=−22 - 4 = -2, which is not in N\mathbb{N}). Division is generally not closed under these sets as the result may be a fraction.

    • Testing for Closure: On a finite set S={0,2,3,4}S = \{0, 2, 3, 4\}, an operation is tested by applying the rule to every possible pair. If any result (such as −7-7 or −10-10) falls outside the set SS, the operation is not closed.

  • Commutativity: An operation ⋄\diamond is commutative if the order of elements does not change the result: a⋄b=b⋄aa \diamond b = b \diamond a.

    • Symmetry in Tables: In a binary operation table, commutativity is confirmed if the results are symmetrical about the principal (leading) diagonal.

    • Verification: For a∗b=a+2aba \ast b = a + 2ab, testing 5∗75 \ast 7 gives 7575, while 7∗57 \ast 5 gives 7777. Since 75≠7775 \neq 77, this operation is not commutative.

  • Associativity: An operation ⋄\diamond is associative if the grouping of elements does not affect the outcome: a⋄(b⋄c)=(a⋄b)⋄ca \diamond (b \diamond c) = (a \diamond b) \diamond c.

    • Addtion and Multiplication: Both are associative.

    • Verification Method: To check if m∗n=2m+3n−mnm \ast n = 2m + 3n - mn is associative, one must compare the expansion of (m∗n)∗p(m \ast n) \ast p and m∗(n∗p)m \ast (n \ast p). If the final algebraic expressions differ, the operation is not associative.

  • Distributivity: An operation ∗\ast is distributive over another operation ⊗\otimes if a∗(b⊗c)=(a∗b)⊗(a∗c)a \ast (b \otimes c) = (a \ast b) \otimes (a \ast c).

    • Common Usage: This property is frequently used when expanding brackets in algebra, such as 2(x+y)=2x+2y2(x + y) = 2x + 2y.

Identity and Inverse of an Element

  • Identity (Neutral) Element (ee): An element ee in set SS is an identity element for operation Δ\Delta if aΔe=eΔa=aa \Delta e = e \Delta a = a for all members of SS.

    • Existence Condition: A non-commutative operation cannot have an identity element.

    • Additive Identity: The number 00 (e.g., 6+0=66 + 0 = 6).

    • Multiplicative Identity: The number 11 (e.g., 100×1=100100 \times 1 = 100).

    • Finding the Identity: For p∇q=p+q−pqp \nabla q = p + q - pq, setting p∇e=pp \nabla e = p leads to p+e−pe=pp + e - pe = p. Solving for ee: e(1−p)=0e(1 - p) = 0, so e=0e = 0.

  • Inverse Element (a−1a^{-1}): An element a−1a^{-1} is the inverse of aa for operation Δ\Delta if it results in the identity element: aΔa−1=a−1Δa=ea \Delta a^{-1} = a^{-1} \Delta a = e.

    • General Rule: If an operation has no identity element, it cannot have inverses for its elements.

    • Additive Inverse: For an element 22, the inverse is −2-2 because 2+(−2)=02 + (-2) = 0.

    • Multiplicative Inverse: For an element 22, the inverse is 12\frac{1}{2} because 2×12=12 \times \frac{1}{2} = 1.

    • Finding the Inverse: Given a∇b=a+b+2aba \nabla b = a + b + 2ab where e=0e = 0, find the inverse by setting a∇a−1=0a \nabla a^{-1} = 0. This results in a+a−1+2aa−1=0a + a^{-1} + 2aa^{-1} = 0, which simplifies to a−1=−a1+2aa^{-1} = -\frac{a}{1 + 2a}. For the value 44, the inverse is −41+2(4)=−49\frac{-4}{1 + 2(4)} = -\frac{4}{9}.

Set Theory: Definitions and Representations

  • Definition: A set is a well-defined collection of objects with common features. Sets are denoted by capital letters (e.g., AA, BB, CC).

  • Representations:

    1. Statement Form: Verbal description, e.g., {even numbers less than 8}\{\text{even numbers less than 8}\}.

    2. Tabular or Roster Form: Listing individual members within curly brackets, e.g., M={January, June, July}M = \{\text{January, June, July}\}.

    3. Rule or Set Builder Form: Uses a variable and a colon (meaning "such that") to describe properties, e.g., A={x:x is even, 6<x<14}A = \{x : x \text{ is even, } 6 < x < 14\}.

  • Types of Sets:

    • Null (Empty) Set (∅\emptyset or { }): Contains no elements. The cardinality is 00. Note that ∅≠{0}\emptyset \neq \{0\}.

    • Unit (Singleton) Set: Contains exactly one element, such as the set of even prime numbers: {2}\{2\}.

    • Finite Set: Contains a specific, countable number of elements (e.g., days of the week).

    • Infinite Set: Elements cannot be listed completely (e.g., the set of all prime numbers).

  • Cardinality (n(P)n(P)): Represents the total number of elements in set PP. For the word "MATHEMATICS", n(B)=11n(B) = 11.

Operations on Sets and Properties

  • Intersection (∩\cap): The set containing elements common to two or more sets. For athletes selecting fruits, if all select pawpaw, then K∩A∩J={pawpaw}K \cap A \cap J = \{\text{pawpaw}\}.

  • Union (∪\cup): The set containing all elements from participating sets, with common elements listed only once.

  • Complement (A′A' or Aˉ\bar{A}): The set of all elements in the Universal set (UU) that are not present in set AA.

  • Venn Diagrams: Graphical representations of set relationships.

    • Common regions in a three-set diagram include P∩Q∩RP \cap Q \cap R (all three) and P∩Q∩R′P \cap Q \cap R' (P and Q only).

  • Set Algebra Properties:

    • Commutative: A∪B=B∪AA \cup B = B \cup A and A∩B=B∩AA \cap B = B \cap A.

    • Associative: (A∩B)∩C=A∩(B∩C)(A \cap B) \cap C = A \cap (B \cap C).

    • Distributive: A∩(B∪C)=(A∩B)∪(A∩C)A \cap (B \cup C) = (A \cap B) \cup (A \cap C).

Binomial Theorem and Pascal's Triangle

  • Binomial Definition: A simplified polynomial containing exactly two terms, such as (p+q)(p + q) or (2x2+3)(2x^2 + 3).

  • Expanding Binomials: The process of writing (p+q)n(p + q)^n as a sum of terms.

  • Pascal's Triangle: A triangular array of numbers representing coefficients for binomial expansions. Each row starts and ends with 11, and each interior number is the sum of the two numbers directly above it.

    • Row 0: 11

    • Row 1: 1,11, 1

    • Row 2: 1,2,11, 2, 1

    • Row 3: 1,3,3,11, 3, 3, 1

    • Row 4: 1,4,6,4,11, 4, 6, 4, 1

    • Row 5: 1,5,10,10,5,11, 5, 10, 10, 5, 1

  • Expansion Characteristics for (a+b)n(a + b)^n:

    • There are n+1n + 1 total terms.

    • The degree of each term is always nn.

    • The exponent of the first term (aa) decreases from nn to 00.

    • The exponent of the second term (bb) increases from 00 to nn.

The Combination Approach (nCrnCr)

  • Combinations: Used for selecting items where order is not important. For larger (n)(n) values where Pascal's Triangle is impractical, the coefficient of each term is generated using combinations.

  • Factorials (n!n!): Defined as n!=n×(n−1)×(n−2)×⋯×1n! = n \times (n - 1) \times (n - 2) \times \dots \times 1. By definition, 0!=10! = 1.

  • Formula: (nr)=nCr=n!(n−r)!r!\binom{n}{r} = nC_r = \frac{n!}{(n - r)!r!}.

  • Binomial Expansion Formula: (a+b)n=(n0)anb0+(n1)an−1b1+⋯+(nn)a0bn(a + b)^n = \binom{n}{0} a^n b^0 + \binom{n}{1} a^{n-1} b^1 + \dots + \binom{n}{n} a^0 b^n.

  • Worked Application: To find the numerical coefficient of x17x^{17} in (x+y)20(x + y)^{20}, compute (20r)\binom{20}{r} where the exponent of xx is 1717. This corresponds to r=3r = 3 (since 20−3=1720 - 3 = 17). (203)=20×19×183×2×1=1140\binom{20}{3} = \frac{20 \times 19 \times 18}{3 \times 2 \times 1} = 1140.

Practical Calculations and Modelling

  • Mental Arithmetic: Binomial expansions allow for calculations without calculators.

    • Example: (1.01)3=(1+0.01)3(1.01)^3 = (1 + 0.01)^3. Expanding gives 13+3(12)(0.01)+3(1)(0.012)+0.013=1+0.03+0.0003+0.000001=1.0303011^3 + 3(1^2)(0.01) + 3(1)(0.01^2) + 0.01^3 = 1 + 0.03 + 0.0003 + 0.000001 = 1.030301.

    • Example: (1.97)4=(2−0.03)4(1.97)^4 = (2 - 0.03)^4. Substitute into the expansion of (2+x)4(2 + x)^4 where x=−0.03x = -0.03.

  • Finance and Growth Modelling:

    • Compound Interest: CI=P(1+r%)nCI = P(1 + r\%)^{n}.

    • Population Growth: N=P(1+0.025)tN = P(1 + 0.025)^{t}, where tt is time in years and PP is the initial population.

Questions & Discussion

  • Binary Operation Profit Analysis: A baker produces wheat bread (cost GHc 250.00GH\text{c } 250.00, sell GHc 6.00GH\text{c } 6.00) and potato bread (cost GHc 300.00GH\text{c } 300.00, sell GHc 7.50GH\text{c } 7.50). Revenue and profit are determined by calculating the sum of products: (500×6.00)+(300×7.50)−(250.00+300.00)(500 \times 6.00) + (300 \times 7.50) - (250.00 + 300.00).

  • Set Theory Survey Logic: In a survey of 115115 pet owners where 2626 own dogs and 6464 own cats, and 55 own both, calculate those owning neither by subtracting the union from the total: 115−(26+64−5)=115−85=30115 - (26 + 64 - 5) = 115 - 85 = 30.

  • Tourism Data Visualization: A survey of 8585 students regarding visits to Kakum, Cape Coast, and Mole National Parks. Detailed analysis involves using the intersection (2424 visited all three) to find those who visited "only one" or "exactly two" sites.