Sequences and Series A sequence is an ordered list of numbers. A series is the sum of the terms of a sequence.
Geometric Series Convergence
Adjust the parameters in the graph above to explore the relationships between variables.
Notation u n u_n u n or a n a_n a n : the n n n -th term of a sequenceu 1 u_1 u 1 : the first termd d d : common difference (arithmetic)r r r : common ratio (geometric)n n n : number of termsS n S_n S n : sum of the first n n n termsArithmetic Sequences An arithmetic sequence has a constant difference between consecutive terms:
U n + 1 − u n = d U_{n+1} - u_n = d U n + 1 − u n = d General Term U n = u 1 + ( n − 1 ) d U_n = u_1 + (n-1)d U n = u 1 + ( n − 1 ) d Sum of the First n n n Terms S n = n 2 ( u 1 + u n ) = n 2 [ 2 u 1 + ( n − 1 ) d ] S_n = \frac{n}{2}(u_1 + u_n) = \frac{n}{2}[2u_1 + (n-1)d] S n = 2 n ( u 1 + u n ) = 2 n [ 2 u 1 + ( n − 1 ) d ] Example
Find the 20th term and the sum of the first 20 terms of the sequence 3 , 7 , 11 , 15 , … 3, 7, 11, 15, \ldots 3 , 7 , 11 , 15 , … .
u 1 = 3 u_1 = 3 u 1 = 3 , d = 4 d = 4 d = 4 .
U 20 = 3 + 19 × 4 = 79 U_{20} = 3 + 19 \times 4 = 79 U 20 = 3 + 19 × 4 = 79 S 20 = 20 2 ( 3 + 79 ) = 10 × 82 = 820 S_{20} = \frac{20}{2}(3 + 79) = 10 \times 82 = 820 S 20 = 2 20 ( 3 + 79 ) = 10 × 82 = 820 Properties of Arithmetic Sequences The arithmetic mean of a a a and b b b is a + b 2 \dfrac{a+b}{2} 2 a + b .
If a , b , c a, b, c a , b , c are consecutive terms of an arithmetic sequence, then 2 b = a + c 2b = a + c 2 b = a + c .
Example
The 5th term of an arithmetic sequence is 17 17 17 and the 12th term is 38 38 38 . Find the first term and The common difference.
U 5 = u 1 + 4 d = 17 ( 1 ) U_5 = u_1 + 4d = 17 \quad \mathrm{(1)} U 5 = u 1 + 4 d = 17 ( 1 ) U 12 = u 1 + 11 d = 38 ( 2 ) U_{12} = u_1 + 11d = 38 \quad \mathrm{(2)} U 12 = u 1 + 11 d = 38 ( 2 ) (2) − - − (1): 7 d = 21 ⟹ d = 3 7d = 21 \implies d = 3 7 d = 21 ⟹ d = 3 .
From (1): u 1 + 12 = 17 ⟹ u 1 = 5 u_1 + 12 = 17 \implies u_1 = 5 u 1 + 12 = 17 ⟹ u 1 = 5 .
Geometric Sequences A geometric sequence has a constant ratio between consecutive terms:
u n + 1 u n = r \frac{u_{n+1}}{u_n} = r u n u n + 1 = r General Term U n = u 1 r n − 1 U_n = u_1 r^{n-1} U n = u 1 r n − 1 Sum of the First n n n Terms S n = u 1 ( r n − 1 ) r − 1 = u 1 ( 1 − r n ) 1 − r ( r ≠ 1 ) S_n = \frac{u_1(r^n - 1)}{r - 1} = \frac{u_1(1 - r^n)}{1 - r} \quad (r \neq 1) S n = r − 1 u 1 ( r n − 1 ) = 1 − r u 1 ( 1 − r n ) ( r = 1 ) When r = 1 r = 1 r = 1 : S n = n u 1 S_n = nu_1 S n = n u 1 .
Example
Find the 8th term and the sum of the first 8 terms of 2 , 6 , 18 , 54 , … 2, 6, 18, 54, \ldots 2 , 6 , 18 , 54 , … .
u 1 = 2 u_1 = 2 u 1 = 2 , r = 3 r = 3 r = 3 .
U 8 = 2 × 3 7 = 2 × 2187 = 4374 U_8 = 2 \times 3^7 = 2 \times 2187 = 4374 U 8 = 2 × 3 7 = 2 × 2187 = 4374 S 8 = 2 ( 3 8 − 1 ) 3 − 1 = 2 ( 6561 − 1 ) 2 = 6560 S_8 = \frac{2(3^8 - 1)}{3 - 1} = \frac{2(6561 - 1)}{2} = 6560 S 8 = 3 − 1 2 ( 3 8 − 1 ) = 2 2 ( 6561 − 1 ) = 6560 Geometric Mean The geometric mean of a a a and b b b is a b \sqrt{ab} ab (for positive a , b a, b a , b ).
If a , b , c a, b, c a , b , c are consecutive terms of a geometric sequence, then b 2 = a c b^2 = ac b 2 = a c .
Convergence of Geometric Series Sum to Infinity If ∣ r ∣ < 1 |r| \lt 1 ∣ r ∣ < 1 The geometric series converges and the sum to infinity is:
S ∞ = u 1 1 − r S_{\infty} = \frac{u_1}{1 - r} S ∞ = 1 − r u 1 If ∣ r ∣ ≥ 1 |r| \ge 1 ∣ r ∣ ≥ 1 The series diverges (the sum to infinity does not exist).
Example
Find the sum to infinity of 1 + 1 2 + 1 4 + 1 8 + ⋯ 1 + \dfrac{1}{2} + \dfrac{1}{4} + \dfrac{1}{8} + \cdots 1 + 2 1 + 4 1 + 8 1 + ⋯ .
u 1 = 1 u_1 = 1 u 1 = 1 , r = 1 2 r = \dfrac{1}{2} r = 2 1 . Since ∣ r ∣ < 1 |r| \lt 1 ∣ r ∣ < 1 :
S ∞ = 1 1 − 1 2 = 2 S_{\infty} = \frac{1}{1 - \frac{1}{2}} = 2 S ∞ = 1 − 2 1 1 = 2 Example
Express 0. 7 ˙ 0.\dot{7} 0. 7 ˙ (recurring decimal) as a fraction.
0. 7 ˙ = 0.7777 … = 7 10 + 7 100 + 7 1000 + ⋯ 0.\dot{7} = 0.7777\ldots = \frac{7}{10} + \frac{7}{100} + \frac{7}{1000} + \cdots 0. 7 ˙ = 0.7777 … = 10 7 + 100 7 + 1000 7 + ⋯ This is a geometric series with u 1 = 7 10 u_1 = \dfrac{7}{10} u 1 = 10 7 and r = 1 10 r = \dfrac{1}{10} r = 10 1 .
S ∞ = 7 10 1 − 1 10 = 7 10 9 10 = 7 9 S_{\infty} = \frac{\frac{7}{10}}{1 - \frac{1}{10}} = \frac{\frac{7}{10}}{\frac{9}{10}} = \frac{7}{9} S ∞ = 1 − 10 1 10 7 = 10 9 10 7 = 9 7 Example
Express 0. 2 ˙ 7 ˙ 0.\dot{2}\dot{7} 0. 2 ˙ 7 ˙ (i.e., 0.272727 … 0.272727\ldots 0.272727 … ) as a fraction.
0. 2 ˙ 7 ˙ = 27 100 + 27 10000 + ⋯ 0.\dot{2}\dot{7} = \frac{27}{100} + \frac{27}{10000} + \cdots 0. 2 ˙ 7 ˙ = 100 27 + 10000 27 + ⋯ u 1 = 27 100 u_1 = \dfrac{27}{100} u 1 = 100 27 , r = 1 100 r = \dfrac{1}{100} r = 100 1 .
S ∞ = 27 100 1 − 1 100 = 27 100 99 100 = 27 99 = 3 11 S_{\infty} = \frac{\frac{27}{100}}{1 - \frac{1}{100}} = \frac{\frac{27}{100}}{\frac{99}{100}} = \frac{27}{99} = \frac{3}{11} S ∞ = 1 − 100 1 100 27 = 100 99 100 27 = 99 27 = 11 3 Conditions for Convergence | Condition | Behaviour | | --------- | ----------------------------- | ------ | ------------------------------- | | ∣ r ∣ < 1 | r | \lt 1 ∣ r ∣ < 1 | Converges to u 1 1 − r \dfrac{u_1}{1-r} 1 − r u 1 | | r = 1 r = 1 r = 1 | Diverges (grows linearly) | | | | r = − 1 r = -1 r = − 1 | Oscillates, does not converge | | | | ∣ r ∣ > 1 | r | \gt 1 ∣ r ∣ > 1 | Diverges (grows exponentially) |
Sigma Notation Definition ∑ i = 1 n u i = u 1 + u 2 + u 3 + ⋯ + u n \sum_{i=1}^{n} u_i = u_1 + u_2 + u_3 + \cdots + u_n i = 1 ∑ n u i = u 1 + u 2 + u 3 + ⋯ + u n Properties ∑ i = 1 n k = k n \displaystyle\sum_{i=1}^{n} k = kn i = 1 ∑ n k = k n ∑ i = 1 n k u i = k ∑ i = 1 n u i \displaystyle\sum_{i=1}^{n} k u_i = k\sum_{i=1}^{n} u_i i = 1 ∑ n k u i = k i = 1 ∑ n u i ∑ i = 1 n ( u i ± v i ) = ∑ i = 1 n u i ± ∑ i = 1 n v i \displaystyle\sum_{i=1}^{n} (u_i \pm v_i) = \sum_{i=1}^{n} u_i \pm \sum_{i=1}^{n} v_i i = 1 ∑ n ( u i ± v i ) = i = 1 ∑ n u i ± i = 1 ∑ n v i Useful Sigma Summations ∑ i = 1 n i = n ( n + 1 ) 2 \sum_{i=1}^{n} i = \frac{n(n+1)}{2} i = 1 ∑ n i = 2 n ( n + 1 ) ∑ i = 1 n i 2 = n ( n + 1 ) ( 2 n + 1 ) 6 \sum_{i=1}^{n} i^2 = \frac{n(n+1)(2n+1)}{6} i = 1 ∑ n i 2 = 6 n ( n + 1 ) ( 2 n + 1 ) ∑ i = 1 n i 3 = [ n ( n + 1 ) 2 ] 2 \sum_{i=1}^{n} i^3 = \left[\frac{n(n+1)}{2}\right]^2 i = 1 ∑ n i 3 = [ 2 n ( n + 1 ) ] 2 Example
Evaluate ∑ k = 1 10 ( 3 k − 1 ) \displaystyle\sum_{k=1}^{10} (3k - 1) k = 1 ∑ 10 ( 3 k − 1 ) .
∑ k = 1 10 ( 3 k − 1 ) = 3 ∑ k = 1 10 k − ∑ k = 1 10 1 = 3 ⋅ 10 × 11 2 − 10 = 165 − 10 = 155 \sum_{k=1}^{10}(3k-1) = 3\sum_{k=1}^{10}k - \sum_{k=1}^{10}1 = 3 \cdot \frac{10 \times 11}{2} - 10 = 165 - 10 = 155 k = 1 ∑ 10 ( 3 k − 1 ) = 3 k = 1 ∑ 10 k − k = 1 ∑ 10 1 = 3 ⋅ 2 10 × 11 − 10 = 165 − 10 = 155 Example
Evaluate ∑ r = 1 n r ( r + 1 ) \displaystyle\sum_{r=1}^{n} r(r+1) r = 1 ∑ n r ( r + 1 ) .
∑ r = 1 n ( r 2 + r ) = ∑ r = 1 n r 2 + ∑ r = 1 n r = n ( n + 1 ) ( 2 n + 1 ) 6 + n ( n + 1 ) 2 \sum_{r=1}^{n}(r^2 + r) = \sum_{r=1}^{n}r^2 + \sum_{r=1}^{n}r = \frac{n(n+1)(2n+1)}{6} + \frac{n(n+1)}{2} r = 1 ∑ n ( r 2 + r ) = r = 1 ∑ n r 2 + r = 1 ∑ n r = 6 n ( n + 1 ) ( 2 n + 1 ) + 2 n ( n + 1 ) = n ( n + 1 ) 6 [ ( 2 n + 1 ) + 3 ] = n ( n + 1 ) ( 2 n + 4 ) 6 = n ( n + 1 ) ( n + 2 ) 3 = \frac{n(n+1)}{6}\big[(2n+1) + 3\big] = \frac{n(n+1)(2n+4)}{6} = \frac{n(n+1)(n+2)}{3} = 6 n ( n + 1 ) [ ( 2 n + 1 ) + 3 ] = 6 n ( n + 1 ) ( 2 n + 4 ) = 3 n ( n + 1 ) ( n + 2 ) Applications Compound Interest If a principal P P P is invested at a rate of r r r per period, compounded for n n n periods:
A = P ( 1 + r ) n A = P(1 + r)^n A = P ( 1 + r ) n Population Growth If a population P 0 P_0 P 0 grows at a rate of r % r\% r % per year:
P n = P 0 ( 1 + r 100 ) n P_n = P_0\left(1 + \frac{r}{100}\right)^n P n = P 0 ( 1 + 100 r ) n Depreciation For depreciation at rate r % r\% r % per year:
V n = V 0 ( 1 − r 100 ) n V_n = V_0\left(1 - \frac{r}{100}\right)^n V n = V 0 ( 1 − 100 r ) n Example
USD 5000 is invested at 6% per year, compounded annually. Find the value after 10 years.
A = 5000 ( 1.06 ) 10 ≈ 5000 × 1.7908 = 8954.24 A = 5000(1.06)^{10} \approx 5000 \times 1.7908 = 8954.24 A = 5000 ( 1.06 ) 10 ≈ 5000 × 1.7908 = 8954.24 The investment is worth approximately USD 8954.24.
Example
A car bought for USD 25000 depreciates at 15% per year. Find its value after 5 years.
V 5 = 25000 ( 0.85 ) 5 ≈ 25000 × 0.4437 = 11092.50 V_5 = 25000(0.85)^5 \approx 25000 \times 0.4437 = 11092.50 V 5 = 25000 ( 0.85 ) 5 ≈ 25000 × 0.4437 = 11092.50 The car is worth approximately USD 11092.50 after 5 years.
Loan Repayments For a loan of L L L with monthly repayment R R R at monthly interest rate i i i over n n n months:
L = R [ 1 − ( 1 + i ) − n ] i L = \frac{R[1 - (1+i)^{-n}]}{i} L = i R [ 1 − ( 1 + i ) − n ] The Binomial Theorem Expansion of ( a + b ) n (a + b)^n ( a + b ) n For positive integer n n n :
( a + b ) n = ∑ k = 0 n ( n k ) a n − k b k (a + b)^n = \sum_{k=0}^{n} \binom{n}{k} a^{n-k} b^k ( a + b ) n = k = 0 ∑ n ( k n ) a n − k b k Where the binomial coefficient is:
( n k ) = n ! k ! ( n − k ) ! = n C k \binom{n}{k} = \frac{n!}{k!(n-k)!} = ^nC_k ( k n ) = k ! ( n − k )! n ! = n C k Special Cases ( 1 + x ) n = ∑ k = 0 n ( n k ) x k = 1 + n x + n ( n − 1 ) 2 ! x 2 + n ( n − 1 ) ( n − 2 ) 3 ! x 3 + ⋯ (1 + x)^n = \sum_{k=0}^{n} \binom{n}{k} x^k = 1 + nx + \frac{n(n-1)}{2!}x^2 + \frac{n(n-1)(n-2)}{3!}x^3 + \cdots ( 1 + x ) n = ∑ k = 0 n ( k n ) x k = 1 + n x + 2 ! n ( n − 1 ) x 2 + 3 ! n ( n − 1 ) ( n − 2 ) x 3 + ⋯
Pascal’s Triangle Each entry is the sum of the two entries above it:
\begin`\{array}``\{cccccccc}` & & & 1 & & & \\ & & 1 & & 1 & & \\ & 1 & & 2 & & 1 & \\ 1 & & 3 & & 3 & & 1 \\ & 1 & & 4 & & 6 & & 4 & & 1 \end`\{array}` Row n n n (starting from row 0) gives the coefficients of ( a + b ) n (a + b)^n ( a + b ) n .
Example
Expand ( 2 x − 3 ) 4 (2x - 3)^4 ( 2 x − 3 ) 4 .
Using the binomial theorem:
( 2 x − 3 ) 4 = ∑ k = 0 4 ( 4 k ) ( 2 x ) 4 − k ( − 3 ) k (2x - 3)^4 = \sum_{k=0}^{4}\binom{4}{k}(2x)^{4-k}(-3)^k ( 2 x − 3 ) 4 = k = 0 ∑ 4 ( k 4 ) ( 2 x ) 4 − k ( − 3 ) k = 1 ⋅ ( 2 x ) 4 ⋅ 1 + 4 ⋅ ( 2 x ) 3 ⋅ ( − 3 ) + 6 ⋅ ( 2 x ) 2 ⋅ 9 + 4 ⋅ ( 2 x ) ⋅ ( − 27 ) + 1 ⋅ 81 = 1 \cdot (2x)^4 \cdot 1 + 4 \cdot (2x)^3 \cdot (-3) + 6 \cdot (2x)^2 \cdot 9 + 4 \cdot (2x) \cdot (-27) + 1 \cdot 81 = 1 ⋅ ( 2 x ) 4 ⋅ 1 + 4 ⋅ ( 2 x ) 3 ⋅ ( − 3 ) + 6 ⋅ ( 2 x ) 2 ⋅ 9 + 4 ⋅ ( 2 x ) ⋅ ( − 27 ) + 1 ⋅ 81 = 16 x 4 − 96 x 3 + 216 x 2 − 216 x + 81 = 16x^4 - 96x^3 + 216x^2 - 216x + 81 = 16 x 4 − 96 x 3 + 216 x 2 − 216 x + 81 Finding Specific Terms To find the term containing x r x^r x r in the expansion of ( a + b x ) n (a + bx)^n ( a + b x ) n :
The general term is ( n k ) a n − k b k x k \dbinom{n}{k}a^{n-k}b^k x^k ( k n ) a n − k b k x k .
Set k = r k = r k = r to find the coefficient of x r x^r x r .
Example
Find the coefficient of x 3 x^3 x 3 in the expansion of ( 2 + 3 x ) 7 (2 + 3x)^7 ( 2 + 3 x ) 7 .
The general term is ( 7 k ) 2 7 − k ( 3 x ) k \dbinom{7}{k} 2^{7-k}(3x)^k ( k 7 ) 2 7 − k ( 3 x ) k .
For x 3 x^3 x 3 : k = 3 k = 3 k = 3 .
Coefficient = ( 7 3 ) ⋅ 2 4 ⋅ 3 3 = 35 × 16 × 27 = 15120 = \dbinom{7}{3} \cdot 2^4 \cdot 3^3 = 35 \times 16 \times 27 = 15120 = ( 3 7 ) ⋅ 2 4 ⋅ 3 3 = 35 × 16 × 27 = 15120 .
Binomial Expansion for Negative or Fractional Powers For ∣ x ∣ < 1 |x| \lt 1 ∣ x ∣ < 1 and n ∈ Q n \in \mathbb{Q} n ∈ Q :
( 1 + x ) n = 1 + n x + n ( n − 1 ) 2 ! x 2 + n ( n − 1 ) ( n − 2 ) 3 ! x 3 + ⋯ (1 + x)^n = 1 + nx + \frac{n(n-1)}{2!}x^2 + \frac{n(n-1)(n-2)}{3!}x^3 + \cdots ( 1 + x ) n = 1 + n x + 2 ! n ( n − 1 ) x 2 + 3 ! n ( n − 1 ) ( n − 2 ) x 3 + ⋯ This is an infinite series that converges for ∣ x ∣ < 1 |x| \lt 1 ∣ x ∣ < 1 .
Example
Find the expansion of ( 1 + x ) − 2 (1 + x)^{-2} ( 1 + x ) − 2 up to the term in x 3 x^3 x 3 .
( 1 + x ) − 2 = 1 + ( − 2 ) x + ( − 2 ) ( − 3 ) 2 x 2 + ( − 2 ) ( − 3 ) ( − 4 ) 6 x 3 (1+x)^{-2} = 1 + (-2)x + \frac{(-2)(-3)}{2}x^2 + \frac{(-2)(-3)(-4)}{6}x^3 ( 1 + x ) − 2 = 1 + ( − 2 ) x + 2 ( − 2 ) ( − 3 ) x 2 + 6 ( − 2 ) ( − 3 ) ( − 4 ) x 3 = 1 − 2 x + 3 x 2 − 4 x 3 = 1 - 2x + 3x^2 - 4x^3 = 1 − 2 x + 3 x 2 − 4 x 3 Example
Find the expansion of 1 1 + x \dfrac{1}{\sqrt{1+x}} 1 + x 1 up to the term in x 2 x^2 x 2 .
( 1 + x ) − 1 / 2 = 1 + ( − 1 2 ) x + ( − 1 2 ) ( − 3 2 ) 2 x 2 (1+x)^{-1/2} = 1 + \left(-\frac{1}{2}\right)x + \frac{\left(-\frac{1}{2}\right)\left(-\frac{3}{2}\right)}{2}x^2 ( 1 + x ) − 1/2 = 1 + ( − 2 1 ) x + 2 ( − 2 1 ) ( − 2 3 ) x 2 = 1 − x 2 + 3 x 2 8 = 1 - \frac{x}{2} + \frac{3x^2}{8} = 1 − 2 x + 8 3 x 2 Validity of Expansion The expansion ( 1 + x ) n (1+x)^n ( 1 + x ) n for non-integer n n n converges when ∣ x ∣ < 1 |x| \lt 1 ∣ x ∣ < 1 .
To use this for expressions like ( 2 + 3 x ) − 1 / 2 (2 + 3x)^{-1/2} ( 2 + 3 x ) − 1/2 Factor out the constant:
( 2 + 3 x ) − 1 / 2 = 2 − 1 / 2 ( 1 + 3 x 2 ) − 1 / 2 (2+3x)^{-1/2} = 2^{-1/2}\left(1 + \frac{3x}{2}\right)^{-1/2} ( 2 + 3 x ) − 1/2 = 2 − 1/2 ( 1 + 2 3 x ) − 1/2 This converges when ∣ 3 x 2 ∣ < 1 \left|\dfrac{3x}{2}\right| \lt 1 2 3 x < 1 I.e., ∣ x ∣ < 2 3 |x| \lt \dfrac{2}{3} ∣ x ∣ < 3 2 .
Mixed Arithmetic-Geometric Sequences Recurrence Relations A sequence defined by a recurrence relation gives each term in terms of previous terms.
U n + 1 = a u n + b U_{n+1} = au_n + b U n + 1 = a u n + b Solving First-Order Linear Recurrence Relations For u n + 1 = r u n + d u_{n+1} = ru_n + d u n + 1 = r u n + d with u 1 u_1 u 1 given:
If r ≠ 1 r \neq 1 r = 1 The solution is:
U n = r n − 1 u 1 + d r n − 1 − 1 r − 1 U_n = r^{n-1}u_1 + d\frac{r^{n-1} - 1}{r - 1} U n = r n − 1 u 1 + d r − 1 r n − 1 − 1 Example
A sequence is defined by u n + 1 = 3 u n + 2 u_{n+1} = 3u_n + 2 u n + 1 = 3 u n + 2 with u 1 = 1 u_1 = 1 u 1 = 1 . Find u n u_n u n .
r = 3 r = 3 r = 3 , d = 2 d = 2 d = 2 .
U n = 3 n − 1 ⋅ 1 + 2 ⋅ 3 n − 1 − 1 3 − 1 = 3 n − 1 + 3 n − 1 − 1 = 2 ⋅ 3 n − 1 − 1 U_n = 3^{n-1} \cdot 1 + 2 \cdot \frac{3^{n-1} - 1}{3 - 1} = 3^{n-1} + 3^{n-1} - 1 = 2 \cdot 3^{n-1} - 1 U n = 3 n − 1 ⋅ 1 + 2 ⋅ 3 − 1 3 n − 1 − 1 = 3 n − 1 + 3 n − 1 − 1 = 2 ⋅ 3 n − 1 − 1 Verify: u 1 = 2 ⋅ 1 − 1 = 1 u_1 = 2 \cdot 1 - 1 = 1 u 1 = 2 ⋅ 1 − 1 = 1 . u 2 = 2 ⋅ 3 − 1 = 5 u_2 = 2 \cdot 3 - 1 = 5 u 2 = 2 ⋅ 3 − 1 = 5 . Check: u 2 = 3 ( 1 ) + 2 = 5 u_2 = 3(1) + 2 = 5 u 2 = 3 ( 1 ) + 2 = 5 .
IB Exam-Style Questions Question 1 (Paper 1 style) An arithmetic sequence has first term 5 5 5 and common difference 3 3 3 . A geometric sequence has first Term 3 3 3 and common ratio 2 2 2 . Find the value of n n n for which the n n n -th terms are equal.
U n = 5 + ( n − 1 ) × 3 = 3 n + 2 U_n = 5 + (n-1) \times 3 = 3n + 2 U n = 5 + ( n − 1 ) × 3 = 3 n + 2 V n = 3 × 2 n − 1 V_n = 3 \times 2^{n-1} V n = 3 × 2 n − 1 3 n + 2 = 3 × 2 n − 1 3n + 2 = 3 \times 2^{n-1} 3 n + 2 = 3 × 2 n − 1 Testing values:
n = 1 n = 1 n = 1 : 5 ≠ 3 5 \neq 3 5 = 3 .
n = 2 n = 2 n = 2 : 8 ≠ 6 8 \neq 6 8 = 6 .
n = 3 n = 3 n = 3 : 11 ≠ 12 11 \neq 12 11 = 12 .
n = 4 n = 4 n = 4 : 14 ≠ 24 14 \neq 24 14 = 24 .
n = 5 n = 5 n = 5 : 17 ≠ 48 17 \neq 48 17 = 48 .
The sequences do not have equal terms for small n n n . The geometric sequence grows much faster. The Only possible solution is n = 3 n = 3 n = 3 approximately (left = 11 = 11 = 11 Right = 12 = 12 = 12 ), so there is no exact Integer solution.
Question 2 (Paper 2 style) The sum of the first three terms of a geometric sequence is 52 52 52 . The sum of the first six terms is 4732 4732 4732 . Find the common ratio and the first term.
S 3 = u 1 ( r 3 − 1 ) r − 1 = 52 ( 1 ) S_3 = \frac{u_1(r^3 - 1)}{r - 1} = 52 \quad \mathrm{(1)} S 3 = r − 1 u 1 ( r 3 − 1 ) = 52 ( 1 ) S 6 = u 1 ( r 6 − 1 ) r − 1 = 4732 ( 2 ) S_6 = \frac{u_1(r^6 - 1)}{r - 1} = 4732 \quad \mathrm{(2)} S 6 = r − 1 u 1 ( r 6 − 1 ) = 4732 ( 2 ) Dividing (2) by (1):
r 6 − 1 r 3 − 1 = 4732 52 = 91 \frac{r^6 - 1}{r^3 - 1} = \frac{4732}{52} = 91 r 3 − 1 r 6 − 1 = 52 4732 = 91 R 3 + 1 = 91 ⟹ r 3 = 90 R^3 + 1 = 91 \implies r^3 = 90 R 3 + 1 = 91 ⟹ r 3 = 90 Since 90 = 9 × 10 90 = 9 \times 10 90 = 9 × 10 is not a perfect cube, this suggests the ratio might not be exact. Let us Reconsider with r 3 − 1 ≠ 0 r^3 - 1 \neq 0 r 3 − 1 = 0 :
( r 3 − 1 ) ( r 3 + 1 ) r 3 − 1 = r 3 + 1 = 91 \frac{(r^3 - 1)(r^3 + 1)}{r^3 - 1} = r^3 + 1 = 91 r 3 − 1 ( r 3 − 1 ) ( r 3 + 1 ) = r 3 + 1 = 91 R 3 = 90 , r = 90 3 R^3 = 90, \quad r = \sqrt[3]{90} R 3 = 90 , r = 3 90 From (1): u 1 = 52 ( r − 1 ) r 3 − 1 = 52 ( r − 1 ) 89 u_1 = \dfrac{52(r-1)}{r^3 - 1} = \dfrac{52(r-1)}{89} u 1 = r 3 − 1 52 ( r − 1 ) = 89 52 ( r − 1 ) .
Question 3 (Paper 1 style) Expand ( 1 − 2 x ) 5 (1 - 2x)^5 ( 1 − 2 x ) 5 in ascending powers of x x x up to and including the term in x 3 x^3 x 3 .
( 1 − 2 x ) 5 = 1 + 5 ( − 2 x ) + 10 ( − 2 x ) 2 + 10 ( − 2 x ) 3 + 5 ( − 2 x ) 4 + ( − 2 x ) 5 (1-2x)^5 = 1 + 5(-2x) + 10(-2x)^2 + 10(-2x)^3 + 5(-2x)^4 + (-2x)^5 ( 1 − 2 x ) 5 = 1 + 5 ( − 2 x ) + 10 ( − 2 x ) 2 + 10 ( − 2 x ) 3 + 5 ( − 2 x ) 4 + ( − 2 x ) 5 = 1 − 10 x + 40 x 2 − 80 x 3 + 80 x 4 − 32 x 5 = 1 - 10x + 40x^2 - 80x^3 + 80x^4 - 32x^5 = 1 − 10 x + 40 x 2 − 80 x 3 + 80 x 4 − 32 x 5 Question 4 (Paper 2 style) The first three terms of a geometric sequence are sin θ \sin\theta sin θ , cos θ \cos\theta cos θ And 1 3 \dfrac{1}{\sqrt{3}} 3 1 Where 0 < θ < π 2 0 \lt \theta \lt \dfrac{\pi}{2} 0 < θ < 2 π .
Find the value of θ \theta θ .
Common ratio: r = cos θ sin θ = cot θ r = \dfrac{\cos\theta}{\sin\theta} = \cot\theta r = sin θ cos θ = cot θ .
Also: r = 1 / 3 cos θ r = \dfrac{1/\sqrt{3}}{\cos\theta} r = cos θ 1/ 3 .
cot θ = 1 3 cos θ \cot\theta = \frac{1}{\sqrt{3}\cos\theta} cot θ = 3 cos θ 1 cos θ sin θ = 1 3 cos θ \frac{\cos\theta}{\sin\theta} = \frac{1}{\sqrt{3}\cos\theta} sin θ cos θ = 3 cos θ 1 cos 2 θ = sin θ 3 \cos^2\theta = \frac{\sin\theta}{\sqrt{3}} cos 2 θ = 3 sin θ Since cos 2 θ = 1 − sin 2 θ \cos^2\theta = 1 - \sin^2\theta cos 2 θ = 1 − sin 2 θ :
1 − sin 2 θ = sin θ 3 1 - \sin^2\theta = \frac{\sin\theta}{\sqrt{3}} 1 − sin 2 θ = 3 sin θ 3 sin 2 θ + sin θ − 3 = 0 \sqrt{3}\sin^2\theta + \sin\theta - \sqrt{3} = 0 3 sin 2 θ + sin θ − 3 = 0 Let u = sin θ u = \sin\theta u = sin θ :
3 u 2 + u − 3 = 0 \sqrt{3}u^2 + u - \sqrt{3} = 0 3 u 2 + u − 3 = 0 U = − 1 ± 1 + 12 2 3 = − 1 ± 13 2 3 U = \frac{-1 \pm \sqrt{1 + 12}}{2\sqrt{3}} = \frac{-1 \pm \sqrt{13}}{2\sqrt{3}} U = 2 3 − 1 ± 1 + 12 = 2 3 − 1 ± 13 Since 0 < θ < π 2 0 \lt \theta \lt \dfrac{\pi}{2} 0 < θ < 2 π , sin θ > 0 \sin\theta \gt 0 sin θ > 0 :
sin θ = − 1 + 13 2 3 \sin\theta = \frac{-1 + \sqrt{13}}{2\sqrt{3}} sin θ = 2 3 − 1 + 13 Question 5 (Paper 1 style) Evaluate ∑ k = 1 50 ( 2 k + 1 ) \displaystyle\sum_{k=1}^{50} (2k + 1) k = 1 ∑ 50 ( 2 k + 1 ) .
∑ k = 1 50 ( 2 k + 1 ) = 2 ∑ k = 1 50 k + ∑ k = 1 50 1 = 2 ⋅ 50 × 51 2 + 50 = 2550 + 50 = 2600 \sum_{k=1}^{50}(2k+1) = 2\sum_{k=1}^{50}k + \sum_{k=1}^{50}1 = 2 \cdot \frac{50 \times 51}{2} + 50 = 2550 + 50 = 2600 k = 1 ∑ 50 ( 2 k + 1 ) = 2 k = 1 ∑ 50 k + k = 1 ∑ 50 1 = 2 ⋅ 2 50 × 51 + 50 = 2550 + 50 = 2600 Question 6 (Paper 2 style) The series 1 + 2 x + 3 x 2 + 4 x 3 + ⋯ 1 + 2x + 3x^2 + 4x^3 + \cdots 1 + 2 x + 3 x 2 + 4 x 3 + ⋯ can be written as ∑ n = 1 ∞ n x n − 1 \displaystyle\sum_{n=1}^{\infty} nx^{n-1} n = 1 ∑ ∞ n x n − 1 .
(a) Find the sum to infinity in terms of x x x for ∣ x ∣ < 1 |x| \lt 1 ∣ x ∣ < 1 .
We know ∑ n = 0 ∞ x n = 1 1 − x \displaystyle\sum_{n=0}^{\infty}x^n = \frac{1}{1-x} n = 0 ∑ ∞ x n = 1 − x 1 for ∣ x ∣ < 1 |x| \lt 1 ∣ x ∣ < 1 .
Differentiating both sides with respect to x x x :
∑ n = 1 ∞ n x n − 1 = 1 ( 1 − x ) 2 \sum_{n=1}^{\infty}nx^{n-1} = \frac{1}{(1-x)^2} n = 1 ∑ ∞ n x n − 1 = ( 1 − x ) 2 1 (b) Hence find the sum to infinity of ∑ n = 1 ∞ n 3 n \displaystyle\sum_{n=1}^{\infty}\frac{n}{3^n} n = 1 ∑ ∞ 3 n n .
Setting x = 1 3 x = \dfrac{1}{3} x = 3 1 :
∑ n = 1 ∞ n ( 1 3 ) n − 1 = 1 ( 1 − 1 / 3 ) 2 = 1 ( 2 / 3 ) 2 = 9 4 \sum_{n=1}^{\infty}n\left(\frac{1}{3}\right)^{n-1} = \frac{1}{(1 - 1/3)^2} = \frac{1}{(2/3)^2} = \frac{9}{4} n = 1 ∑ ∞ n ( 3 1 ) n − 1 = ( 1 − 1/3 ) 2 1 = ( 2/3 ) 2 1 = 4 9 Therefore:
∑ n = 1 ∞ n 3 n = 1 3 ∑ n = 1 ∞ n ( 1 3 ) n − 1 = 1 3 ⋅ 9 4 = 3 4 \sum_{n=1}^{\infty}\frac{n}{3^n} = \frac{1}{3}\sum_{n=1}^{\infty}n\left(\frac{1}{3}\right)^{n-1} = \frac{1}{3} \cdot \frac{9}{4} = \frac{3}{4} n = 1 ∑ ∞ 3 n n = 3 1 n = 1 ∑ ∞ n ( 3 1 ) n − 1 = 3 1 ⋅ 4 9 = 4 3 Summary | Topic | Key Formula | | ---------------------- | ------------------------------------------------------------- | --- | ------ | | Arithmetic n n n -th term | u n = u 1 + ( n − 1 ) d u_n = u_1 + (n-1)d u n = u 1 + ( n − 1 ) d | | | | Arithmetic sum | S n = n 2 [ 2 u 1 + ( n − 1 ) d ] S_n = \dfrac{n}{2}[2u_1 + (n-1)d] S n = 2 n [ 2 u 1 + ( n − 1 ) d ] | | | | Geometric n n n -th term | u n = u 1 r n − 1 u_n = u_1 r^{n-1} u n = u 1 r n − 1 | | | | Geometric sum | S n = u 1 ( 1 − r n ) 1 − r S_n = \dfrac{u_1(1-r^n)}{1-r} S n = 1 − r u 1 ( 1 − r n ) | | | | Sum to infinity | S ∞ = u 1 1 − r S_{\infty} = \dfrac{u_1}{1-r} S ∞ = 1 − r u 1 for ∣ r ∣ < 1 | r | \lt 1 ∣ r ∣ < 1 | | Binomial theorem | ( a + b ) n = ∑ k = 0 n ( n k ) a n − k b k (a+b)^n = \displaystyle\sum_{k=0}^{n}\binom{n}{k}a^{n-k}b^k ( a + b ) n = k = 0 ∑ n ( k n ) a n − k b k | | | | Sigma of i i i | ∑ i = 1 n i = n ( n + 1 ) 2 \displaystyle\sum_{i=1}^{n}i = \dfrac{n(n+1)}{2} i = 1 ∑ n i = 2 n ( n + 1 ) | | | | Sigma of i 2 i^2 i 2 | ∑ i = 1 n i 2 = n ( n + 1 ) ( 2 n + 1 ) 6 \displaystyle\sum_{i=1}^{n}i^2 = \dfrac{n(n+1)(2n+1)}{6} i = 1 ∑ n i 2 = 6 n ( n + 1 ) ( 2 n + 1 ) | | |
Exam Strategy
For binomial expansion questions, always check the validity condition when n n n is not a positive Integer. For geometric series, always verify that ∣ r ∣ < 1 |r| \lt 1 ∣ r ∣ < 1 before computing S ∞ S_{\infty} S ∞ . In Paper 2, show all steps of sigma notation manipulations.
Mathematical Induction Principle Mathematical induction is a …/1-number-and-algebra/3_proof-and-logic technique used to prove statements about natural numbers.
Steps Base case : Prove the statement is true for n = 1 n = 1 n = 1 (or the starting value).Inductive hypothesis : Assume the statement is true for n = k n = k n = k .Inductive step : Prove that if it is true for n = k n = k n = k Then it is true for n = k + 1 n = k + 1 n = k + 1 .Conclusion : By the principle of mathematical induction, the statement is true for all n ≥ 1 n \ge 1 n ≥ 1 .Example
Prove that ∑ i = 1 n i 2 = n ( n + 1 ) ( 2 n + 1 ) 6 \displaystyle\sum_{i=1}^{n} i^2 = \frac{n(n+1)(2n+1)}{6} i = 1 ∑ n i 2 = 6 n ( n + 1 ) ( 2 n + 1 ) for all n ≥ 1 n \ge 1 n ≥ 1 .
Base case (n = 1 n = 1 n = 1 ): ∑ i = 1 1 i 2 = 1 \displaystyle\sum_{i=1}^{1} i^2 = 1 i = 1 ∑ 1 i 2 = 1 and 1 × 2 × 3 6 = 1 \dfrac{1 \times 2 \times 3}{6} = 1 6 1 × 2 × 3 = 1 . True.
Inductive hypothesis : Assume ∑ i = 1 k i 2 = k ( k + 1 ) ( 2 k + 1 ) 6 \displaystyle\sum_{i=1}^{k} i^2 = \frac{k(k+1)(2k+1)}{6} i = 1 ∑ k i 2 = 6 k ( k + 1 ) ( 2 k + 1 ) .
Inductive step : Show for n = k + 1 n = k + 1 n = k + 1 :
∑ i = 1 k + 1 i 2 = ∑ i = 1 k i 2 + ( k + 1 ) 2 = k ( k + 1 ) ( 2 k + 1 ) 6 + ( k + 1 ) 2 \sum_{i=1}^{k+1} i^2 = \sum_{i=1}^{k} i^2 + (k+1)^2 = \frac{k(k+1)(2k+1)}{6} + (k+1)^2 i = 1 ∑ k + 1 i 2 = i = 1 ∑ k i 2 + ( k + 1 ) 2 = 6 k ( k + 1 ) ( 2 k + 1 ) + ( k + 1 ) 2 = k ( k + 1 ) ( 2 k + 1 ) + 6 ( k + 1 ) 2 6 = ( k + 1 ) [ k ( 2 k + 1 ) + 6 ( k + 1 ) ] 6 = \frac{k(k+1)(2k+1) + 6(k+1)^2}{6} = \frac{(k+1)[k(2k+1) + 6(k+1)]}{6} = 6 k ( k + 1 ) ( 2 k + 1 ) + 6 ( k + 1 ) 2 = 6 ( k + 1 ) [ k ( 2 k + 1 ) + 6 ( k + 1 )] = ( k + 1 ) ( 2 k 2 + k + 6 k + 6 ) 6 = ( k + 1 ) ( 2 k 2 + 7 k + 6 ) 6 = \frac{(k+1)(2k^2 + k + 6k + 6)}{6} = \frac{(k+1)(2k^2 + 7k + 6)}{6} = 6 ( k + 1 ) ( 2 k 2 + k + 6 k + 6 ) = 6 ( k + 1 ) ( 2 k 2 + 7 k + 6 ) = ( k + 1 ) ( k + 2 ) ( 2 k + 3 ) 6 = ( k + 1 ) ( ( k + 1 ) + 1 ) ( 2 ( k + 1 ) + 1 ) 6 = \frac{(k+1)(k+2)(2k+3)}{6} = \frac{(k+1)((k+1)+1)(2(k+1)+1)}{6} = 6 ( k + 1 ) ( k + 2 ) ( 2 k + 3 ) = 6 ( k + 1 ) (( k + 1 ) + 1 ) ( 2 ( k + 1 ) + 1 ) This is the required formula with n = k + 1 n = k + 1 n = k + 1 . The statement is true by induction.
Additional Sigma Notation Problems Changing the Index Sometimes it is useful to change the index of summation:
∑ i = 1 n a i = ∑ j = 0 n − 1 a j + 1 = ∑ k = 2 n + 1 a k − 1 \sum_{i=1}^{n} a_i = \sum_{j=0}^{n-1} a_{j+1} = \sum_{k=2}^{n+1} a_{k-1} i = 1 ∑ n a i = j = 0 ∑ n − 1 a j + 1 = k = 2 ∑ n + 1 a k − 1 Telescoping Series A telescoping series is one where many terms cancel:
∑ k = 1 n 1 k ( k + 1 ) = ∑ k = 1 n ( 1 k − 1 k + 1 ) = 1 − 1 n + 1 = n n + 1 \sum_{k=1}^{n} \frac{1}{k(k+1)} = \sum_{k=1}^{n}\left(\frac{1}{k} - \frac{1}{k+1}\right) = 1 - \frac{1}{n+1} = \frac{n}{n+1} k = 1 ∑ n k ( k + 1 ) 1 = k = 1 ∑ n ( k 1 − k + 1 1 ) = 1 − n + 1 1 = n + 1 n Example
Evaluate ∑ k = 1 n 1 k ( k + 2 ) \displaystyle\sum_{k=1}^{n} \frac{1}{k(k+2)} k = 1 ∑ n k ( k + 2 ) 1 .
Using partial fractions:
1 k ( k + 2 ) = 1 2 ( 1 k − 1 k + 2 ) \frac{1}{k(k+2)} = \frac{1}{2}\left(\frac{1}{k} - \frac{1}{k+2}\right) k ( k + 2 ) 1 = 2 1 ( k 1 − k + 2 1 ) ∑ k = 1 n 1 k ( k + 2 ) = 1 2 ( 1 + 1 2 − 1 n + 1 − 1 n + 2 ) = 1 2 ( 3 2 − 2 n + 3 ( n + 1 ) ( n + 2 ) ) \sum_{k=1}^{n} \frac{1}{k(k+2)} = \frac{1}{2}\left(1 + \frac{1}{2} - \frac{1}{n+1} - \frac{1}{n+2}\right) = \frac{1}{2}\left(\frac{3}{2} - \frac{2n+3}{(n+1)(n+2)}\right) k = 1 ∑ n k ( k + 2 ) 1 = 2 1 ( 1 + 2 1 − n + 1 1 − n + 2 1 ) = 2 1 ( 2 3 − ( n + 1 ) ( n + 2 ) 2 n + 3 ) Arithmetic-Geometric Mean Inequality Statement For positive real numbers a a a and b b b :
\frac{a + b}{2} \ge \sqrt`\{ab}` Equality holds if and only if a = b a = b a = b .
Generalisation For positive real numbers a 1 , a 2 , … , a n a_1, a_2, \ldots, a_n a 1 , a 2 , … , a n :
a 1 + a 2 + ⋯ + a n n ≥ a 1 a 2 ⋯ a n n \frac{a_1 + a_2 + \cdots + a_n}{n} \ge \sqrt[n]{a_1 a_2 \cdots a_n} n a 1 + a 2 + ⋯ + a n ≥ n a 1 a 2 ⋯ a n Additional Exam-Style Questions Question 7 (Paper 2 style) Use the binomial theorem to expand ( 1 + x ) 4 (1 + x)^4 ( 1 + x ) 4 and hence evaluate 1.01 4 1.01^4 1.0 1 4 to 5 decimal places.
( 1 + x ) 4 = 1 + 4 x + 6 x 2 + 4 x 3 + x 4 (1+x)^4 = 1 + 4x + 6x^2 + 4x^3 + x^4 ( 1 + x ) 4 = 1 + 4 x + 6 x 2 + 4 x 3 + x 4 Set x = 0.01 x = 0.01 x = 0.01 :
1.01 4 = 1 + 4 ( 0.01 ) + 6 ( 0.0001 ) + 4 ( 0.000001 ) + 0.00000001 1.01^4 = 1 + 4(0.01) + 6(0.0001) + 4(0.000001) + 0.00000001 1.0 1 4 = 1 + 4 ( 0.01 ) + 6 ( 0.0001 ) + 4 ( 0.000001 ) + 0.00000001 = 1 + 0.04 + 0.0006 + 0.000004 + 0.00000001 = 1.04060401 = 1 + 0.04 + 0.0006 + 0.000004 + 0.00000001 = 1.04060401 = 1 + 0.04 + 0.0006 + 0.000004 + 0.00000001 = 1.04060401 To 5 decimal places: 1.04060 1.04060 1.04060 .
Question 8 (Paper 2 style) The sum of the first n n n terms of a sequence is S n = n 2 + 2 n S_n = n^2 + 2n S n = n 2 + 2 n . Find an expression for the n n n -th Term u n u_n u n .
U n = S n − S n − 1 = ( n 2 + 2 n ) − ( ( n − 1 ) 2 + 2 ( n − 1 ) ) U_n = S_n - S_{n-1} = (n^2 + 2n) - ((n-1)^2 + 2(n-1)) U n = S n − S n − 1 = ( n 2 + 2 n ) − (( n − 1 ) 2 + 2 ( n − 1 )) = n 2 + 2 n − ( n 2 − 2 n + 1 + 2 n − 2 ) = n 2 + 2 n − n 2 + 1 = 2 n + 1 = n^2 + 2n - (n^2 - 2n + 1 + 2n - 2) = n^2 + 2n - n^2 + 1 = 2n + 1 = n 2 + 2 n − ( n 2 − 2 n + 1 + 2 n − 2 ) = n 2 + 2 n − n 2 + 1 = 2 n + 1 Check: u 1 = S 1 = 3 = 2 ( 1 ) + 1 u_1 = S_1 = 3 = 2(1) + 1 u 1 = S 1 = 3 = 2 ( 1 ) + 1 . Correct.
This is an arithmetic sequence with first term 3 and common difference 2.
Question 9 (Paper 2 style) Find the coefficient of x 4 x^4 x 4 in the expansion of ( 2 − 3 x ) 7 (2 - 3x)^7 ( 2 − 3 x ) 7 .
The general term is ( 7 k ) 2 7 − k ( − 3 x ) k \dbinom{7}{k}2^{7-k}(-3x)^k ( k 7 ) 2 7 − k ( − 3 x ) k .
For x 4 x^4 x 4 : k = 4 k = 4 k = 4 .
Coefficient = ( 7 4 ) ⋅ 2 3 ⋅ ( − 3 ) 4 = 35 × 8 × 81 = 22680 = \dbinom{7}{4} \cdot 2^3 \cdot (-3)^4 = 35 \times 8 \times 81 = 22680 = ( 4 7 ) ⋅ 2 3 ⋅ ( − 3 ) 4 = 35 × 8 × 81 = 22680 .
Question 10 (Paper 1 style) A geometric series has first term a a a and common ratio r r r . The sum of the first three terms is 28 28 28 And the sum to infinity is 32 32 32 . Find a a a and r r r .
A + a r + a r 2 = 28 ( 1 ) A + ar + ar^2 = 28 \quad \mathrm{(1)} A + a r + a r 2 = 28 ( 1 ) a 1 − r = 32 ⟹ a = 32 ( 1 − r ) ( 2 ) \frac{a}{1-r} = 32 \implies a = 32(1-r) \quad \mathrm{(2)} 1 − r a = 32 ⟹ a = 32 ( 1 − r ) ( 2 ) Substituting (2) into (1):
32 ( 1 − r ) ( 1 + r + r 2 ) = 28 32(1-r)(1 + r + r^2) = 28 32 ( 1 − r ) ( 1 + r + r 2 ) = 28 ( 1 − r ) ( 1 + r + r 2 ) = 1 − r 3 = 28 32 = 7 8 (1-r)(1+r+r^2) = 1 - r^3 = \frac{28}{32} = \frac{7}{8} ( 1 − r ) ( 1 + r + r 2 ) = 1 − r 3 = 32 28 = 8 7 R 3 = 1 − 7 8 = 1 8 ⟹ r = 1 2 R^3 = 1 - \frac{7}{8} = \frac{1}{8} \implies r = \frac{1}{2} R 3 = 1 − 8 7 = 8 1 ⟹ r = 2 1 A = 32 ( 1 − 1 2 ) = 16 A = 32\left(1 - \frac{1}{2}\right) = 16 A = 32 ( 1 − 2 1 ) = 16 Verify: 16 + 8 + 4 = 28 16 + 8 + 4 = 28 16 + 8 + 4 = 28 . And S ∞ = 16 / ( 1 − 1 / 2 ) = 32 S_\infty = 16/(1 - 1/2) = 32 S ∞ = 16/ ( 1 − 1/2 ) = 32 . Correct.
For the A-Level treatment of this topic, see Sequences and Series .
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