Tuesday, December 26, 2023

17.12 - Miscellaneous Examples

In the previous section, we saw identity element and inverse element. In this section, we will see some miscellaneous examples.

Solved example 17.41
If R1 and R2 are equivalence relations in a set A, show that R1∩R2 is also an equivalence relation.
Solution:
Let us assume that, the set A = {a1, a2, a3, a4, . . . , an}
Part (i): Proving that, the intersection is reflexive.
1. R1 is an equivalence relation in set A.
• So all reflexive pairs like (a1,a1), (a2,a2), (a3,a3), . . .(an,an) will be present in the set R1.
2. R2 is also an equivalence relation in set A.
• So all reflexive pairs like (a1,a1), (a2,a2), (a3,a3), . . .(an,an) will be present in the set R2 also.
3. The same reflexive pairs are present in both R1 and R2.
• So those reflexive pairs will be present in R1∩R2 also.
Therefore, R1∩R2 is reflexive.

Part (ii): Proving  that, the intersection is symmetric.
1. Suppose that, a random pair (a3,a7) is present in the intersection.
   ♦ Then this (a3,a7) will be present in the set R1.
   ♦ This (a3,a7) will be present in the set R2 also.
2. (a3,a7) is present in R1.
• But R1 is an equivalence relation. So the symmetric pair (a7,a3) will be present in R1.
3. (a3,a7) is present in R2.
• But R2 is an equivalence relation. So the symmetric pair (a7,a3) will be present in R2.
4. From (2) and (3), we see that:
(a7,a3) is present in both R1 and R2.
5. From (1) and (4) we see that:
The symmetric pairs (a3,a7) and (a7,a3) are present in the intersection.
6. In this way, all symmetric pairs will be present in the intersection.
So the intersection is a symmetric relation.

Part (iii): Proving that, the intersection is transitive.
1. Suppose that, two random pairs (a3,a7) and (a7,a2) are present in the intersection.
   ♦ Then these two pairs will be present in R1.
   ♦ These two pairs will be present in R2 also.
2. (a3,a7) and (a7,a2) are present in R1.
• But R1 is a symmetric relation. So the transitive pair (a3,a2) will be present in R1.   
3. (a3,a7) and (a7,a2) are present in R2.
• But R2 is a symmetric relation. So the transitive pair (a3,a2) will be present in R2.
4. From (2) and (3), we see that:
• (a3,a2) will be present in both R1 and R2.
• So it will be present in the intersection also.
5. From (1) and (4),we see that:
• The intersection contains (a3,a7), (a7,a2) and (a3,a2)
Therefore, the intersection is transitive.     
◼ From parts (i), (ii) and (iii), we see that, the intersection is reflexive, symmetric and transitive. So the intersection is an equivalence relation.

Solved example 17.42
Let R be the relation on set A of ordered pairs of positive integers defined by (x,y)R(u,v) if and only if xv = yu. Show that R is an equivalence relation.
Solution:
1. Set A is a set of ordered pairs.
• Each of those ordered pairs will contain +ve integers.
For example: (3,5), (1,2), (7,11) etc.,

2. The given relation is on A.
• That means, we need to consider the set A × A
• Each element in A × A will be a pair of ordered pairs.
For example: [(11,3),(5,4)], [(7,5),(8,2)], [(14,8),(9,3)] etc.,
• In general, we can write:
Each element in A × A will be a pair of ordered pairs in the form [(x,y),(u,v)]

3. The set R will contain those elements from A × A, which satisfy the condition: xv = yu.
• We need to prove that R is an equivalence relation.

4. First we check whether R is reflexive.
(i) If R is reflexive, then a possible random element in R is: [(a3,a7),(a3,a7)].
(ii) Let us check whether this element satisfies the condition xv = yu.
• Here, x = u = a3 and y = v = a7
• We can write:
xv = a3 a7  and  yu = a7 a3 = a3 a7
(iii) We see that xv = yu.
• So all reflexive elements are eligible to be included in R.
Therefore, R is a reflexive relation.   

5. Next we check whether R is symmetric.
(i) Suppose that a random element [(a3,a7),(a2,a9)] is present in R.
• It's symmetric element is [(a2,a9),(a3,a7)]. Is this symmetric element present in R? Let us check.
(ii) [(a3,a7),(a2,a9)] is present in R.
• That means, this element satisfies the condition: xv = yu
• That means, a3 a9 = a7 a2.
(iii) If the symmetric element is to be present in R, it must also satisfy the condition xv = yu.
• That means, a2 a7 must be equal to a9 a3.
• From (ii), we see that, they are indeed equal.
(iv) So we can write:
• If [(a3,a7),(a2,a9)] is present in R, then the symmetric element [(a2,a9),(a3,a7)] will also be present in R.
• So all symmetric elements are eligible to be included in R.
Therefore, R is a symmetric relation.

6. Finally, we check whether R is transitive.
(i) Suppose that two random elements [(a3,a7),(a2,a9)] and [(a2,a9),(a8,a11)] are present in R.
• Then the transitive element is [(a3,a7),(a8,a11)]. Is this transitive element present in R? Let us check.
(ii) [(a3,a7),(a2,a9)] is present in R.
• That means, this element satisfies the condition: xv = yu
• That means, a3 a9 = a7 a2.
(iii) Similarly, [(a2,a9),(a8,a11)] is present in R.
• That means, this element satisfies the condition: xv = yu
• That means, a2 a11 = a9 a8.
(iv) If the transitive element written in (i) is to be present in R, then it should also satisfy the condition xv = yu.
• That means, a3 a11 must be equal to a7 a8
• That means, $\frac{a_3}{a_7}~\text{must be equal to}~\frac{a_8}{a_{11}}$
(v) From (ii) we get: $\frac{a_3}{a_7}~=~\frac{a_2}{a_9}$
(vi) From (iii) we get: $\frac{a_2}{a_9}~=~\frac{a_8}{a_{11}}$
(vii) Combining the results in (v) and (vi), we get:
$\frac{a_2}{a_9}~=~\frac{a_8}{a_{11}}~=~\frac{a_3}{a_7}$
• So the condition mentioned in (iv) is satisfied.
(vii) That means, all transitive elements will be present in R.
Therefore, R is a transitive relation.

◼ Based on the above 6 steps, we see that, R is reflexive, symmetric and transitive. So R is an equivalence relation.

Solved example 17.43
Let X = {1,2,3,4,5,6,7,8,9}. Let R1 be a relation in X given by R1 = {(x,y): x-y is divisible by 3} and R2 be another relation on X given by R2 ={(x,y): {x,y}⊂{1,4,7} or {x,y}⊂{2,5,8} or {x,y}⊂{3,6,9}}. Show that R1 = R2.
Solution:
1. We can write set R1 easily. Ordered pairs like (1,4), (4,1), (5,8), are some of the elements of R1.
• But in this problem, we do not have to write the elements of R1. We just need to know the nature of the elements. We see that, for all those elements, (x-y) will be divisible by 3.
2. Next we consider R2
(i) Any ordered pair (x,y) for which, {x,y} is a subset of {1,4,7}, will be an element of R2.
(ii) Any ordered pair (x,y) for which, {x,y} is a subset of {2,5,8}, will be an element of R2.
(iii) Any ordered pair (x,y) for which, {x,y} is a subset of {3,6,9}, will be an element of R2.
3. Consider the sets {1,4,7}.
• We can take any two elements from this set. The difference between those two elements will be divisible by 3.
• Similar is the case with the other two sets {2,5,8} and {3,6,9}
• Union of the three sets will give X.
• So R1 will be a subset of R2
4. While writing the ordered pairs of R2, we see that, difference between the members of each ordered pair is divisible by 3.
• So R2 will be a subset of R1.
5. Now we can compare the results.
   ♦ In (3), we see that: R1 ⊂ R2.
   ♦ In (4), we see that: R2 ⊂ R1.
• So we can write: R1 = R2

Solved example 17.44
Let f: X→Y be a function. Define a relation R in X given by R = {(a,b): f(a) = f(b)}. Examine whether R is an equivalence relation or not.
Solution:
1. Let X = {x1, x2, x3, . . . } and Y = {y1, y2, y3, . . .}
2. Then a possible example set for f is {(x1, y5), (x2, y8), (x3, y11), . . .}
• This means:
    ♦ When x1 is the input, the function f gives y5 as the output.
    ♦ When x2 is the input, the function f gives y8 as the output.
    ♦ When x3 is the input, the function f gives y11 as the output.
so on . . .
3. Now we can write the set R.
• Set R will contain ordered pairs of the form (a,b).
• Consider any one ordered pair (a,b). That ordered pair is eligible to be in R because, f(a) = f(b).
• So both a and b will be from set X. This is because, all inputs of f are taken from X.
4. So R is a relation on X.
• That means, the elements of R are taken from the set X×X.
• So a random ordered pair taken from R will be (x5,x9)
• This ordered pair is eligible to be in R because, f(x5) = f(x9)
5. Now we check whether R is reflexive.
• A possible random element in X×X is (x5,x5)
• This element will satisfy the condition f(a) = f(b).
This is because, f(x5) = f(x5)
• So all reflexive pairs will be present in R.
Therefore, R is reflexive.
6. Next we check whether R is symmetric.
• If a random pair (x5,x9) is present in R, then the symmetric pair (x9,x5) will also be present in R.
This is because:
f(x5) = f(x9) ⇒ f(x9) = f(x5)
• So all symmetric pairs will be present in R.
Therefore, R is symmetric.
7. Finally we check whether R is transitive.
• Consider two random pairs from R: (x5,x9) and (x9,x2)
• Will the transitive pair (x5,x2) be present in R?
• Since both (x5,x9) and (x9,x2) are present in R, we can write:
f(x5) = f(x9) = f(x2)
• So it is clear that, the transitive pair (x5,x2) will be present in R
Therefore, R is transitive.
◼ Since R is reflexive, symmetric and, transitive, it is an equivalence relation.


Solved example 17.45
Determine which of the following binary operations on the set N are associative and which are commutative.
$(a)~a * b = 1 ~ \forall ~ a,b \in N~~~~~(b)~a * b = \frac{a+b}{2} ~ \forall ~ a,b \in N$
Solution
:
Part (i):
1. Checking whether commutative or not.
• For an operation to be commutative, the condition which should be satisfied is:
(a∗b) = (b∗a)
• For our present case, a and b should be natural numbers.
• It is given that, if we perform the operation '*' between any two natural numbers a and b, then the result will be 1.
• So the same operation between b and a will also give 1.
• That means, (a∗b) = (b∗a)
• So the given ∗ is a commutative binary operation.
2. Checking whether associative or not.
• For an operation to be associative, the condition which should be satisfied is:
(a∗b)∗c = a∗(b∗c)
• For our present case, a, b and c should be natural numbers.
• First we calculate (a∗b)∗c:
(a ∗ b) = 1
So (a∗b)∗c = (1∗c) = 1
• Next we calculate a∗(b∗c):
(b ∗ c) = 1
So a∗(b∗c) = (a∗1) = 1
• We see that: (a∗b)∗c = a∗(b∗c)
So the given ∗ is an associative binary operation.
◼ Based on the above 2 steps, we can write:
The given ∗ is both commutative and associative.

Part (ii):
1. Checking whether commutative or not.
• For an operation to be commutative, the condition which should be satisfied is:
(a∗b) = (b∗a)
• For our present case, a and b should be natural numbers.
• For any two natural numbers, $\frac{a+b}{2}$ will be equal to $\frac{b+a}{2}$ .
• That means, (a∗b) = (b∗a)
• So the given ∗ is a commutative binary operation.
2. Checking whether associative or not.
• For an operation to be associative, the condition which should be satisfied is:
(a∗b)∗c = a∗(b∗c)
• For our present case, a, b and c should be natural numbers.
• First we calculate (a∗b)∗c:
$(a*b)~=~\frac{a+b}{2}$
$\text{So}~(a*b)*c~=~\left(\frac{a+b}{2}\right) * c~=~\frac{\frac{a+b}{2}~+~c}{2}~=~\frac{a+b+2c}{4}$
• Next we calculate a∗(b∗c):
$(b*c)~=~\frac{b+c}{2}$
$\text{So}~a*(b*c)~=~a * \left(\frac{b+c}{2}\right)~=~\frac{a~+~\frac{b+c}{2}}{2}~=~\frac{2a+b+c}{4}$
• We see that: (a∗b)∗c ≠ a∗(b∗c)
So the given ∗ is not an associative binary operation.
◼ Based on the above 2 steps, we can write:
The given ∗ is commutative but not associative.

Solved example 17.46
Find the number of all one-one functions from set A = {1,2,3} to itself.
Solution:
1. Take any one element from the domain. It can be mapped to the codomain in 3 different ways.
2. Take a second element from the domain. It can be mapped to the codomain in 2 ways. This is because, the way chosen in step 1 should not be repeated. For example, (1,2) and (2,2) cannot be selected. Then it would not be a one-one function.
3. Take the third element from the domain. It can be mapped to the codomain in one way.
4. So the total number of ways = 3 × 2 × 1 = 3! = 6


In the next section,we will see a few more solved examples.


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Sunday, December 10, 2023

17.11 - Identity Element and Inverse Element

In the previous section, we saw commutative property and associative property. We saw some solved examples also. In this section, we will see identity element and inverse element for binary operations.

Identity element

This can be explained in 6 steps:
1. We know that, any number 'a' can be added to the number zero in any order. We can write (a+0) or (0+a). Both will give the same answer.
• For example: (8+0) = (0+8) = 8
2. But for subtraction, 'any order' is not possible. (a-0) need not be equal to (0-a).
• For example: (8-0) ≠ (0-8)     
3. We know that, any number 'a' can be multiplied to the number 1 in any order. We can write (a × 1) or (1 × a). Both will give the same answer.
• For example: (8 × 1) = (1 × 8) = 8
4. But for division, 'any order' is not possible. (a÷1) need not be equal to (1÷a).
• For example: (8÷1) ≠ (1÷8)
5. We can write a summary:
• For binary addition involving any number 'a' and zero, order is not important.    
• For binary subtraction involving any number 'a' and zero, order is important.    
    ♦ We must write:
        ✰ Subtract 0 from a. 
        ✰ or   
        ✰ Subtract a from 0.    

• For binary multiplication involving any number 'a' and 1, order is not important.    
• For binary division involving any number 'a' and one, order is important.    
    ♦ We must write:
        ✰ Divide 8 by 1. 
        ✰ or   
        ✰ Divide 1 by 8.

6. Based on the above steps, we can write:
Given a binary operation ∗: A × A → A,
an element e ∈ A, if it exists, is called identity for the operation ∗, if:
a ∗ e = a = e ∗ a, ∀ a ∈ A.    


Let us see a solved example:
Solved example 17.38
Show that zero is the identity for addition on R and 1 is the identity for multiplication on R. But there is no identity element for the operations
–: R × R → R and ÷: R × R → R.
Solution:
Part (i)
1. If a number e has to qualify as the identity element, it must satisfy two conditions:
(i) a ∗ e = a, ∀ a ∈ R.
(ii) e ∗ a = a, ∀ a ∈ R.
2. We want to prove that zero is the identity for addition on R.
• We see that, zero satisfies both conditions because:
(i) a + 0 = a, ∀ a ∈ R.
(ii) 0 + a = a, ∀ a ∈ R.
• So zero is the identity for addition on R.
3. Next we want to prove that 1 is the identity for multiplication on R.
• We see that, 1 satisfies both conditions because:
(i) a × 1 = a, ∀ a ∈ R.
(ii) 1  ×  a = a, ∀ a ∈ R.
• So 1 is the identity for multiplication on R.

Part (ii)
1. We want to prove that, there is no identity element for subtraction on R.
• Let us check whether the element ‘x’ satisfies the two conditions:
(i) a - x = a, ∀ a ∈ R.
(ii) x - a = a, ∀ a ∈ R.
• No real number x can simultaneously satisfy the two conditions.
• So there is no identity element for subtraction on R.
2. Next we want to prove that, there is no identity element for division on R.
• Let us check whether the element ‘x’ satisfies the two conditions:
(i) a ÷ x = a, ∀ a ∈ R.
(ii) x ÷ a = a, ∀ a ∈ R.
• No real number x can simultaneously satisfy the two conditions.
• So there is no identity element for division on R.


We saw that, zero is the identity for the addition operation on R. But instead of R, if the set is N, then we cannot consider zero as the identity. This is because, set N does not contain element zero. In fact, the addition operation on N does not have any identity.


Inverse element

This can be explained in 6 steps:
1. We know that, any number 'a' can be added to the number (-a) in any order. We can write (a+ -a) or (-a+a). Both will give the same answer zero.
• For example: (8+ -8) = (-8+8) = 0
   ♦ Zero is the identity for addition.
2. But for subtraction, 'any order' is not possible. (a- -a) need not be equal to (-a-a).
• For example: (8- -8) ≠ (-8-8)
• Recall that, subtraction does not have identity element.
• Since there is no identity element, we can exclude subtraction from our present discussion on inverse element.       
3. We know that, any number 'a' can be multiplied by the number '1/a' in any order. We can write (a × 1/a) or (1/a × a). Both will give the same answer 1.
• For example: (8 × 1/8) = (1/8 × 8) = 1
   ♦ 1 is the identity for multiplication.
4. But for division, 'any order' is not possible. (a ÷ 1/a) need not be equal to (1/a ÷ a).
• For example: (8 ÷ 1/8) ≠ (1/8 ÷ 8)
• Recall that, division does not have identity element.
• Since there is no identity element, we can exclude division from our present discussion on inverse element.       
5. We can write a summary:
• For binary addition involving any two numbers 'a' and (-a), order is not important. The result will be the addition identity zero.    
• We exclude binary subtraction from our present discussion. This is because, there is no subtraction identity.

• For binary multiplication involving any two numbers 'a' and '1/a', order is not important. The result will be the multiplication identity 1.
• We exclude binary division from our present discussion. This is because, there is no division identity.

6. Based on the above steps, we can write:
• Given a binary operation ∗: A × A → A, with the identity element e in A.
• An element a is said to be invertible with respect to the operation ∗, if there exists an element b in a such that a∗b = e = b∗a.
• b is called the inverse of a and is denoted by a-1.


Let us see a solved example:
Solved example 17.39
Show that –a is the inverse of a for the addition operation ‘+’ on R and 1/a is the inverse of a ≠ 0 for the multiplication operation ‘×’ on R.
Solution:
1. If a number b has to qualify as the inverse element of a, it must satisfy two conditions:
(i) a ∗ b = e, ∀ a,b ∈ R.
(ii) b ∗ a = e, ∀ a,b ∈ R.
• In the above two conditions, we specify set R because, it is given that: the operation is on R.
2. We want to prove that '-a' is the inverse of 'a' for addition on R.
• We see that, '-a' satisfies both conditions because:
(i) a + -a = 0, ∀ a, -a ∈ R.
(ii) -a + a = 0, ∀ a, -a ∈ R.
(0 is the e for addition)
• So '-a' is the inverse of 'a' for addition on R.
3. Next we want to prove that '1/a' is the inverse of 'a' for multiplication on R.
• We see that, '1/a' satisfies both conditions because:
(i) a × 1/a = 1, ∀ a, 1/a ∈ R.
(ii) 1/a  ×  a = 1, ∀ a, 1/a ∈ R.
(1 is the e for multiplication)
• So '1/a' is the inverse of 'a' for multiplication on R.

Solved example 17.40
Show that '–a' is not the inverse of a ∈ N for the addition operation + on N and '1/a' is not the inverse of a ∈ N for multiplication operation × on N, for a ≠ 1.
Solution:
1. If a number b has to qualify as the inverse element of a, it must satisfy two conditions:
(i) a ∗ b = e, ∀ a,b ∈ N.
(ii) b ∗ a = e, ∀ a,b ∈ N.
• In the above two conditions, we specify set N because, it is given that: the operation is on N.
2. Consider addition.
• We see that, '-a' can be substituted in the place of b. The two equations will be satisfied.
• But '-a' is not an element of N. So we cannot use '-a'.
3. Consider multiplication.
• We see that, '1/a' can be substituted in the place of b. The two equations will be satisfied.
• But '1/a' is not an element of N. So we cannot use '1/a'


The link below gives a few more solved examples

Exercise 17.4 



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Saturday, December 9, 2023

17.10 - Commutative and Associative Properties

In the previous section, we saw the basics of binary operations. We saw some solved examples also. In this section, we will see a few more solved examples. We will also see some properties of binary operations.

Solved example 17.33
Show that the ∨: R × R → R given by (a,b) → max {a,b} and the ∧: R × R → R given by (a,b) → min {a,b} are binary operations.
Solution:
Part (i): ∨: R × R → R given by (a,b) → max {a,b}
1. R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers.
2. (a,b) is the input. Output will be the largest among a and b.
• So the output will be a real number. It will be a unique number in the codomain R.
3. So we can write:
    ♦ The given operation,
    ♦ carries the element (a,b) of the domain R×R,
    ♦ to an unique element of the codomain R
• Therefore, the given operation is a binary operation.

Part (ii): ∨: R × R → R given by (a,b) → min {a,b}
1. R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers.
2. (a,b) is the input. Output will be the smallest among a and b.
• So the output will be a real number. It will be a unique number in the codomain R.
3. So we can write:
    ♦ The given operation,
    ♦ carries the element (a,b) of the domain R×R,
    ♦ to an unique element of the codomain R
• Therefore, the given operation is a binary operation.


• Let us write some examples related to the above solved example:
    ♦ ∨(5,9) = 9
    ♦ ∧(5,9) = 5
    ♦ ∨(5,-9) = 5
    ♦ ∧(5,-9) = -9
• The above examples help us to get a better understanding about the max and min functions.


Now we will learn about operation table. We will learn it by analyzing an example. It can be written in 7 steps:
1. Consider the following function:
∨: A × A → A given by ∨(a,b) → max {a,b}
    ♦ Where A = {1,2,3}
2. At the top of the table, in the red cell, we write the function.
3. In the magenta cell, we write the symbol of the binary operation. In our present case, it is ‘∨’.
• This is shown in the fig.17.11(I) below:

Fig.17.11

4. Next we fill up the yellow row and yellow column.
• In the yellow column, we fill up the elements of A. They are filled from top to bottom.
    ♦ These elements are taken as ‘a’ of the function.
    ♦ In the table, these elements are denoted as ‘ai’.
• In the yellow row also, we fill up the elements of A. They are filled from left to right.
    ♦ These elements are taken as ‘b’ of the function.
    ♦ In the table, these elements are denoted as ‘aj’.
5. Now we fill up the green rows and columns.
    ♦ The row numbers are denoted by the letter i.  
    ♦ The column numbers are denoted by the letter j.
• Let us see an example: We want to fill the green cell with i = 1 and j = 2.
    ♦ When the row number i is 1, we see that, ai = a1 = 1.
    ♦ When the column number j is 2, we see that, aj = a2 = 2.
    ♦ When we have both ai and aj, we can find the largest among them. It is 2.
    ♦ So the cell should be filled with 2.
This is shown in fig.17.11(II) above. In this way, all green cells can be filled.
6. Note that, if set A has n elements, then the green cells will be arranged in n rows and n columns.
7. Now we will write about the general case. It can be written in 3 steps:
(i) Consider the binary operation *: A × A → A
where A = {a1, a2, a3, . . . an}
(ii) Since there are n elements in A, the green cells will be arranged in n rows and n columns.
(iii) The green cell at the intersection of the ith row and jth column will have the value: (ai * aj)

• The converse can be written in 3 steps:
(i) Given any binary operation table with n rows and n columns.
(ii) Based on that operation table, we can define a binary operation as follows:
*: A × A → A given by: (ai * aj) = value in the ith row and jth column.
(iii) Set A will have n elements.

Commutative binary operation

This can be explained in 6 steps:
1. We know that, two numbers a and b can be added in any order. We can write (a+b) or (b+a). Both will give the same answer.
• For example: (5+7) = (7+5) = 12
2. But for subtraction, order is important. (a-b) need not be equal to (b-a).
• For example: (5-7) ≠ (7-5)     
3. We know that, two numbers a and b can be multiplied in any order. We can write (ab) or (ba). Both will give the same answer.
• For example: (5 × 7) = (7 × 5) = 35
4. But for division, order is important. (a÷b) need not be equal to (b÷a).
• For example: (5÷7) ≠ (7÷5)
5. We can write a summary:
• ‘Addition of 5 and 7’ is meaningful.     
• ‘Subtraction of 5 and 7’ is meaningless.
    ♦ We must write:
        ✰ Subtract 7 from 5. 
        ✰ or   
        ✰ Subtract 5 from 7.    

• ‘Multiplication of 5 and 7’ is meaningful.     
• ‘Division of 5 and 7’ is meaningless.
    ♦ We must write:
        ✰ Divide 7 by 5. 
        ✰ or   
        ✰ Divide 5 by 7.

6.Based on the above steps, we can write:
A binary operation ∗ on the set X is called commutative, if a ∗ b = b ∗ a, for every a, b ∈ X


Let us see some solved examples:
Solved example 17.34
Show that +: R × R → R and ×: R × R → R are commutative binary operations, but –: R × R → R and ÷: R × R  → R are not commutative.
Solution:
Part (i):
1. Let (a,b) ∈ R × R
We can write: (a+b) = (b+a) for all a, b ∈ R.
So ‘+’ is a commutative binary operation.
2. Let (a,b) ∈ R × R
We can write: (a × b) = (b × a) for all a, b ∈ R.
So ‘×’ is a commutative binary operation.
Part (ii):
1. Consider (5,7) ∈ R × R
We have: (5 - 7) ≠ (7 – 5).
So ‘-’ is not a commutative binary operation.
2. Consider (5,7) ∈ R × R
We have: (5÷7) ≠ (7÷5).
So ‘÷’ is not a commutative binary operation.

Solved example 17.35
Show that ∗ : R × R → R defined by a ∗ b = a + 2b is not commutative.
Solution:
1. Consider (5,7) ∈ R × R
2. We are going to calculate (a∗b). We get:
(a∗b) = (5∗7) = [5 + (2×7)] = [5 + 14] = 19
3. Next, we are going to calculate (b∗a). We get:
(b∗a) = (7∗5) = [7 + (2×5)] = [7 + 10] = 17
4. From (2) and (3), we see that: (a∗b) ≠ (b∗a).
So the given ‘∗’ is not a commutative binary operation.


Associative binary operation

This can be explained in 6 steps:
1. We know that, three numbers a, b and c can be added in any convenient groups.
• We can write (a+b) +c or a + (b+c). Both will give the same result. Rearranging the parentheses will not change the result.
• For example: (5+7) + 2 = 5 + (7+2) = 14
2. But for subtraction, we cannot rearrange the parentheses.
(a-b) - c need not be equal to a - (b-c).
• For example: (5-7) - 2 ≠ 5 - (7-2)     
3. We know that, three numbers a, b and c can be multiplied in any convenient groups.
• We can write (ab)c or a(bc). Both will give the same result. Rearranging the parentheses will not change the result.
• For example: (5 × 7) × 2 = 5 × (7 × 2) = 70
4. But for division, we cannot rearrange the parentheses.
(a÷b) ÷ c need not be equal to a ÷ (b÷c).
• For example: (5÷7)÷2 ≠ 5÷(7÷2)    
5. We can write a summary:
• For addition and multiplication, rearranging the parentheses will not change the result.
• For subtraction and division, rearranging the parentheses will change the result.
6. Based on the above steps, we can write:
A binary operation ∗ on the set X is called associative,
if (a ∗ b) ∗ c = a ∗ (b ∗ c), for all a, b, c ∈ X


Let us see some solved examples:
Solved example 17.36
Show that +: R × R → R and ×: R × R → R are associative binary operations, but – : R × R → R and ÷ : R × R → R are not associative.
Solution:
Part (i):
1. Let a, b, c ∈ R
We can write: (a+b) + c = a + (b+c) for all a, b, c ∈ R.
So ‘+’ is an associative binary operation.
2. Let (a,b) ∈ R × R
We can write: (ab)c = a(bc) for all a, b, c ∈ R.
So ‘×’ is an associative binary operation.
Part (ii):
1. Consider 5,7,2 ∈ R
We have: (5 - 7) - 2 ≠ 5 - (7 – 2).
So ‘-’ is not an associative binary operation.
2. Consider 5,7,2 ∈ R
We have: (5÷7)÷2 ≠ 5÷(7÷2).
So ‘÷’ is not an associative binary operation.

Solved example 17.37
Show that ∗ : R × R → R defined by a ∗ b = a + 2b is not associative.
Solution:
1. Let a= 5, b = 7 and c = 3.
2. We are going to calculate (a∗b)∗c.We get:
(a∗b) = (5∗7) = [5 + (2×7)] = [5 + 14] = 19
So (a∗b)∗c = 19∗3 = [19 + (2×3)] = [19 + 6] = 25
3. Next, we are going to calculate a∗(b∗c). We get:
(b∗c) = (7∗3) = [7 + (2×3)] = [7 + 6] = 13
So a∗(b∗c) = (5∗13) = 5 + (2×13)] = [5 + 26] = 31
4. From (2) and (3), we see that: (a∗b)∗c ≠ a∗(b∗c).
So the given ‘∗’ is not an associative binary operation.


Importance of associative property of binary operation

This can be written in 3 steps:
1. Suppose that, we are given the following expression:
a1 ∗ a2 ∗ a3 ∗ . . . ∗ an.
2. We see that parentheses are not present.
• But no doubts will arise because, associative property is valid for ‘∗’.
• Since no parentheses are present, we can straight away evaluate the expression by substituting the appropriate symbol in the place of ‘∗’
3. Due to the validity of the associative property, all algebraic expressions will contain parentheses where ever they are required.
4. Parentheses are compulsory in the following two situations:
(i) When subtraction or division occur.
(ii) When more than one type of operation occur.


In the next section, we will see identity of a binary operation.

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Tuesday, December 5, 2023

17.9 - Binary Operations

In the previous section, we completed a discussion on composite functions and invertible functions. In this section, we will see binary operations.

Some basics can be written in 3 steps:
1. We are already familiar with the four fundamental operations:
addition, subtraction, multiplication and division.
2. Let us write the three main features of these operations:
(i) Given any two numbers a and b.
• We can find four new numbers:
   ♦ a+b
   ♦ a-b
   ♦ ab
   ♦ a/b where b ≠ 0.
(ii) Consider any of the four operations. That operation must be carried out between two numbers only.
(iii) If there is a third number, we must follow the procedure given below:
• If three numbers a, b and c are to be added, then we must first add a and b. To the sum of a and b, we can add c.
   ♦ That means: a+b+c = (a+b) + c.
• If three numbers a, b and c are to be multiplied, then we must first multiply a and b. The product (ab) can be multiplied by c.
   ♦ That means: abc = (ab)c.
3. The word ‘binary’ means two.
So addition, subtraction, multiplication and division are examples of binary operation.


Now we can write a general definition which is applicable to all binary operations. It can be written in 7 steps:

1. Let us denote any binary operation by one symbol ‘*’
• That is., the symbol ‘*’ can be:
'+' or '-' or '×' or '÷' or any other binary operation.

2. * can be considered as a function.
• This can be explained using an example.
   ♦ Consider the function f(x) = x2 + 3. This function tells us to square the input x and then add 3.
   ♦ In a similar way, the function * will tell us what to do when two numbers a and b are given.
• For the function f, the input is a single value x. So we write f(x)
• But for the function *, there will be two input values a and b. So we write *(a,b)

3. For the function f, we specify the domain. Input values for f are taken from the domain.
• In a similar way, we must specify the domain for function * also. This can be done in 4 steps:
(i) Let set A contain all the numbers which can be subjected to the binary operation *.
(ii) But for the function *, we cannot input individual numbers from A. We can input only pairs.
(iii) Recall that the set A × A will contain all the possible pairs that can be formed from the numbers in A.
(iv) So A × A can be taken as the domain.

4. The output of function * is not a pair. It is a single number. So set A can be taken as the codomain.

5. So we have the domain and codomain. We can write four of the many possible ways in which the function * can be defined:
(i) +: A × A →A is defined as +(a,b) = a+b   
(ii) -: A × A →A is defined as -(a,b) = a-b   
(iii) ×: A × A →A is defined as ×(a,b) = a × b   
(iv) ÷: A × A →A is defined as ÷(a,b) = a÷b

6. So it is clear that, * can be described as a function.
    ♦ It has input and output.
    ♦ It has domain and codomain.
• However, from now on wards, we will call '*' as a binary operation. We will not call '*' as a function.

7. It is important to note that, only one output must be present for each input.
• That means, in the Venn diagram, only one arrow must diverge from each element of the domain.
• So for every input (a,b), there will be a unique output.


Let us see a solved example:
Solved example 17.29
Show that addition, subtraction and multiplication are binary operations on R, but division is not a binary operation on R. Further, show that division is a binary operation on the set R* of nonzero real numbers.
Solution:
Part (i):
• Binary operation on R means:
Domain is R × R and codomain is R
• Let us check the four binary operations:
1. Is the following operation possible ?
+: R × R →R is defined as +(a,b) = a+b   
Answer:
R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers. It is possible to add any two real numbers. The sum will also be a real number. The sum will be a unique number in the codomain R. So this operation is possible.  

2. Is the following operation possible ?
-: R × R →R is defined as -(a,b) = a-b   
Answer:
R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers. It is possible to find the difference between any two real numbers. The difference will also be a real number. The difference will be a unique number in the codomain R. So this operation is possible.

3. Is the following operation possible ?
×: R × R →R is defined as  ×(a,b) = a × b   
Answer:
R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers. It is possible to find the product of any two real numbers. The product will also be a real number. The product will be a unique number in the codomain R. So this operation is possible. 

4. Is the following operation possible ?
÷: R × R →R is defined as  ÷(a,b) = a ÷ b   
Answer:
R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers. This operation is not defined when b = 0. So this operation is not possible when the domain is R × R.

Part (ii):
• Is the following operation possible ?
÷: R* × R* → R* is defined as  ÷(a,b) = a ÷ b   
Answer:
R* × R* will contain ordered pairs of the form (a,b), where a and b are two real numbers. But R* is the set of non-zero real numbers. This set will not contain zero. So there will not be any ordered pairs in which b is zero. That means, when this binary operation is carried out, there will not be any division by zero. The quotient will be a unique number in the codomain R*. So this operation is possible.

Solved example 17.30
Show that subtraction and division are not binary operations on N.
Solution:
• Binary operation on N means:
Domain is N × N and codomain is N.
• Let us check the binary operations of subtraction and division:
1. Is the following operation possible ?
-: N × N → N is defined as -(a,b) = a-b   
Answer:
N × N will contain ordered pairs of the form (a,b), where a and b are two natural numbers. It is possible to find the difference between any two natural numbers. But the difference need not be a natural number. For example, if a = 5 and b = 9, then (a-b) will be -4. This -4 is not a natural number. It will not be present in the codomain N. So this operation is not possible.

2. Is the following operation possible ?
÷: N × N → N is defined as  ÷(a,b) = a ÷ b
Answer:
N × N will contain ordered pairs of the form (a,b), where a and b are two natural numbers. It is possible to find the quotient when any natural number is divided by any natural number. But the quotient need not be a natural number. For example, if a = 5 and b = 9, then 5/9 is not a natural number. 5/9 is not present in the codomain N. So this operation is not possible.

Solved example 17.31
Show that *: R × R →R is defined as *(a,b) = a+4b2 is a binary operation.  
Solution:
1. R × R will contain ordered pairs of the form (a,b), where a and b are two real numbers.
2. First we find 4b2. Then we add it to a.
• The sum will be a real number. The sum will be a unique number in the codomain R.
3. So for any pair (a,b), the given operation is valid. That means, it is a binary operation.

Solved example 17.32
Let P be the set of all subsets of a given set X.
Show that:
(i) ∪: P × P → P given by (A, B) → A ∪ B
(ii) ∩ : P × P → P given by (A, B) → A ∩ B
are binary operations on the set P.
Solution:
• Note that, in the discussion so far in this section, we denoted the input as (a,b). Here a and b are numbers.
• But for the present problem, input is given as (A,B). This is because, A and B are sets. We are inputting sets.

Part (i):
1. (A,B) is an ordered pair. This pair is taken from the set P × P.
• When we are given the input (A,B), we can find the union of A and B.
• This A∪B will be a set.
• A∪B will be present in P. This is because, P is the set of all subsets.
• Also, A∪B will be unique. We will get only one set when we calculate the union.
2. So we can write:
    ♦ The given operation,
    ♦ carries the element (A,B) of the domain P×P,
    ♦ to an unique element A∪B of the codomain P
• Therefore, the given operation is a binary operation.

Part (ii):
1. (A,B) is an ordered pair. This pair is taken from the set P × P.
• When we are given the input (A,B), we can find the intersection of A and B.
• This A∩B will be a set.
• A∩B will be present in P. This is because, P is the set of all subsets.
• Also, A∩B will be unique. We will get only one set when we calculate the union.
2. So we can write:
    ♦ The given operation,
    ♦ carries the element (A,B) of the domain P×P,
    ♦ to an unique element A∩B of the codomain P
• Therefore, the given operation is a binary operation.


In the next section, we will see a few more solved examples. We will also see some properties of binary operations.

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