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Combinatorics

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These are the solutions to questions on the topics in Combinatorics.
When applicable, the TI-84 Plus CE calculator (also applicable to TI-84 Plus calculator) solutions are provided for some questions.
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Please NOTE: For applicable questions involving factorials, permutation, and/or combinations, these are the steps to use the functions:

Calculator Combinatorics

Formulas

Say:

n is the number of items (n items)

c and d are the number of duplicate items

n! is read as n-factorial

The number of permutations of nitems is n!

The number of permutations of duplicate items is $\dfrac{n!}{c! * d!}$

The number of permutations of $n$ total items taking $r$ items at a time is $^nP_r \;\;\;or\;\;\; _nP_r \;\;\;or\;\;\; P(n, r)$

The number of combinations of $n$ total items taking $r$ items at a time is $^nC_r \;\;\;or\;\;\; _nC_r \;\;\;or\;\;\; C(n, r) \;\;\;or\;\;\; \displaystyle{\binom{n}{r}}$

$ (1.)\:\: 0! = 1 \\[4ex] (2.)\:\: n! = n * (n - 1) * (n - 2) * (n - 3) * ... * 1 \\[4ex] (3.)\;\; n! = n * (n - 1)! \\[4ex] (4.)\;\; n! = n * (n - 1) * (n - 2)!\quad\dots\text{and so on and so forth} \\[4ex] (5.)\;\; (n - 1)! = (n - 1) * (n - 2)!\quad\dots\text{and so on and so forth} \\[4ex] (6.)\;\; (n - 2)! = (n - 2) * (n - 3) * (n - 4)!\quad\dots\text{and so on and so forth} \\[4ex] (7.)\;\; (n - 3)! = (n - 3) * (n - 4) * (n - 5)!\quad\dots\text{and so on and so forth} \\[4ex] (8.)\;\; (n + 1)! = (n + 1) * n!\quad\dots\text{and so on and so forth} \\[4ex] (9.)\;\; (n + 2)! = (n + 2) * (n + 1) * n!\quad\dots\text{and so on and so forth} \\[4ex] (10.)\;\; (n + 3)! = (n + 3) * (n + 2) * (n + 1) * n!\quad\dots\text{and so on and so forth} \\[4ex] (11.)\:\: P(n, r) = \dfrac{n!}{(n - r)!} \\[7ex] (12.)\:\: C(n, r) = \dfrac{n!}{(n - r)!r!} \\[7ex] (13.)\;\; P(n, r) = n! * C(n, r) \\[4ex] (14.)\;\; C(n, r) = C(n, n - r) \\[4ex] (15.)\;\; (n - r) * P(n, r) = P(n, r + 1) \\[4ex] (16.)\;\; Number\;\;of\;\;circular\;\;permutations = (n - 1)! \\[4ex] $ Case 1:
Given: a certain number of digits/letters say p
(14.) The number of unique number of digits/letters say c digits/letters that can be formed if the digits/letters may be repeated is $p^c$ digits/letters.

(15.) The number of unique number of digits/letters say c digits/letters that can be formed if the digits/letters may not be repeated is $P(p, c)$ digits/letters.

Case 2:
Given: a certain number of people or items in a linear random order say $n$
(16.) The number of ways in which two people or two items must be close together is $2 * (n - 1) * (n - 2)!$ ways

Binomial Theorem

$ (x + y)^n \\[3ex] = C(n, 0)(x^n)(y^0) + C(n, 1)(x^{n - 1})(y) + C(n, 2)(x^{n - 2})(y^2) + ... + C(n, r)(x^{n - r})(y^r) + ... + C(n, n)(x^0)(y^n) \\[4ex] = x^n + C(n, 1)(x^{n - 1})(y) + C(n, 2)(x^{n - 2})(y^2) + ... + C(n, r)(x^{n - r})(y^r) + ... + y^n \\[5ex] $ Generalized Binomial Series
Recommended for negative values of the outside exponent (negative values of n)

$ (1 + x)^n = 1 + nx + \dfrac{n(n - 1)}{2!}x^2 + \dfrac{n(n - 1)(n - 2)}{3!}x^3 + O(x^4) \\[3ex] $ where $O(x^4)$ is the Big-O Notation representing the remainder of the series, and indicating that the omitted terms are of the order of $x^4$ as x approaches zero.

The binomial expansion of $(1 + ax)^n$ is valid when $|ax| \lt 1$

(1.) The ratio of the number of arrangements of $(2n + 2)$ different objects taken n objects at a time to the number of arrangements of $2n$ different objects taken n objects at a time is 14:5.
Find the value of n


Numerator: The number of arrangements of $(2n + 2)$ different objects taken n objects at a time is: $P(2n + 2), n$
Denominator: The number of arrangements of $2n$ different objects taken n objects at a time is: $P(2n, n)$

$ \underline{\text{Numerator}} \\[3ex] P(2n + 2, n) \\[3ex] = \dfrac{(2n + 2)!}{(2n + 2 - n)!} \\[5ex] = \dfrac{(2n + 2)!}{(n + 2)!} \\[5ex] (2n + 2)! \\[3ex] = (2n + 2)(2n + 2 - 1)(2n + 2 - 2)! \\[3ex] = (2n + 2)(2n + 1)(2n)! \\[5ex] (n + 2)! \\[3ex] = (n + 2)(n + 2 - 1)(n + 2 - 2)! \\[3ex] = (n + 2)(n + 1)(n)! \\[5ex] \implies \\[3ex] P(2n + 2, n) = \dfrac{(2n + 2)(2n + 1)(2n)!}{(n + 2)(n - 1)(n)!} \\[5ex] \underline{\text{Denominator}} \\[3ex] P(2n, n) \\[3ex] = \dfrac{(2n)!}{(2n -n)!} \\[5ex] = \dfrac{(2n)!}{n!} \\[5ex] \underline{\text{Ratio: }Numerator \div Denominator} \\[3ex] P(2n + 2, n) \div P(2n, n) \\[3ex] \dfrac{(2n + 2)(2n + 1)(2n)!}{(n + 2)(n + 1)(n)!} \div \dfrac{(2n)!}{n!} \\[5ex] \dfrac{2(n + 1)(2n + 1)(2n)!}{(n + 2)(n + 1)(n)!} * \dfrac{n!}{(2n)!} \\[5ex] \dfrac{2(2n + 1)}{(n + 2)} \\[5ex] \dfrac{4n + 2}{n + 2} \\[5ex] \text{This ratio } = \dfrac{14}{5} \\[5ex] \implies \\[3ex] \dfrac{4n + 2}{n + 2} = \dfrac{14}{5} \\[5ex] 5(4n + 2) = 14(n + 2) \\[3ex] 20n + 10 = 14n + 28 \\[3ex] 20n - 14n = 28 - 10 \\[3ex] 6n = 18 \\[3ex] n = 3 $

Calculator 1
(2.) Using Pascal's Triangle only, expand and simplify completely: $(2x - 2y)^6$


$$ \begin{array}{c} 1 \\[2ex] 1 \quad 1 \\[2ex] 1 \quad 2 \quad 1 \\[2ex] 1 \quad 3 \quad 3 \quad 1 \\[2ex] 1 \quad 4 \quad 6 \quad 4 \quad 1 \\[2ex] 1 \quad 5 \quad 10 \quad 10 \quad 5 \quad 1 \\[2ex] 1 \quad 6 \quad 15 \quad 20 \quad 15 \quad 6 \quad 1 \\[2ex] \end{array} $$ $ (2x - 2y)^6 \\[3ex] = 1(2x)^6(-2y)^0 + 6(2x)^5(-2y)^1 + 15(2x)^4(-2y)^2 + 20(2x)^3(-2y)^3 + 15(2x)^2(-2y)^4 + 6(2x)^1(-2y)^5 + 1(2x)^0(-2y)^6 \\[3ex] = 64x^6 + 6(32)(-2)(x^5y) + 15(16)(4)(x^4y^2) + 20(8)(-8)x^3y^3 + 15(4)(16)(x^2y^4) + 6(2)(-32)(xy^5) + 64y^6 \\[3ex] = 64x^6 - 384x^5y + 960x^4y^2 - 1280x^3y^3 + 960x^2y^4 - 384xy^5 + 64y^6 $
(3.) (a.) Determine the expansion of $(1 + x)^{-2}$, up and including the term in $x^3$.
(b.) Use part (a.) to find the expansion of $(1 + 2x)^{-2}$, up and including the term in $x^3$, stating the range of values of x for which this expansion is valid.


$ \underline{\text{Generalized Binomial Series}} \\[3ex] (1 + x)^n = 1 + nx + \dfrac{n(n - 1)}{2!}x^2 + \dfrac{n(n - 1)(n - 2)}{3!}x^3 + O(x^4) \\[3ex] (a.) \\[3ex] (1 + x)^{-2} \\[3ex] n = -2 \\[3ex] \implies \\[3ex] = 1 + (-2)(x) + \dfrac{-2(-2 - 1)}{2}x^2 + \dfrac{-2(-2 - 1)(-2 - 2)}{3 * 2}x^3 + O(x^4) \\[5ex] = 1 - 2x + \dfrac{-2(-3)x^2}{2} + \dfrac{-2(-3)(-4)x^3}{6} + O(x^4) \\[5ex] = 1 - 2x + 3x^2 - 4x^3 + O(x^4) \\[3ex] (b.) \\[3ex] (1 + 2x)^{-2} \\[3ex] x = 2x \\[3ex] \implies \\[3ex] = 1 - 2(2x) + 3[(2x)^2] - 4[(2x)^3] + O(x^4) \\[3ex] = 1 - 4x + 3(4x^2) - 4(8x^3) + O(x^4) \\[3ex] = 1 - 4x + 12x^2 - 32x^3 + O(x^4) \\[5ex] \underline{\text{Validity for }(1 + 2x)^{-2}} \\[3ex] |2x| \lt 1 \\[3ex] 2x \lt 1 \hspace{3em}OR\hspace{3em} -(2x) \lt 1 \\[3ex] x \lt \dfrac{1}{2} \hspace{3em}OR\hspace{3em} 2x \gt -1 \\[5ex] x \lt \dfrac{1}{2} \hspace{3em}OR\hspace{3em} x \gt -\dfrac{1}{2} \\[5ex] -\dfrac{1}{2} \lt x \lt \dfrac{1}{2} $
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