Summary

This document provides a detailed explanation of the binomial theorem, including its definition, theorem for a positive integral index, expansions, general terms, and middle term problems. Examples and solutions are also included.

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240 60 240 Binomial Theorem 6.1.1 Binomial Expression. E3 An algebraic expression consisting of two terms with +ve or – ve sign between them is called a binomial expression. q  1 4   p For example : (a  b), (2 x  3 y ),  2  4  ,   3  etc. x  x y  x 6.1.2 Binomial Theorem for Positi...

240 60 240 Binomial Theorem 6.1.1 Binomial Expression. E3 An algebraic expression consisting of two terms with +ve or – ve sign between them is called a binomial expression. q  1 4   p For example : (a  b), (2 x  3 y ),  2  4  ,   3  etc. x  x y  x 6.1.2 Binomial Theorem for Positive Integral Index. ID The rule by which any power of binomial can be expanded is called the binomial theorem. If n is a positive integer and x, y  C then (x  y)n  n C 0 x n 0 y 0  n C1 x n 1 y 1  n C 2 x n  2 y 2 ........  n C r x n r y r ......  n C n 1 xy n 1  n C n x 0 y n (x  y )n  n  n C r. x n  r.y r U i.e.,.....(i) r 0 D YG Here n C 0 , n C1 , n C 2 ,...... n C n are called binomial coefficients and n C r  n! for 0  r  n. r !(n  r)! Important Tips The number of terms in the expansion of (x  y)n are (n + 1).  The expansion contains decreasing power of x and increasing power of y. The sum of the powers of x and y in each term is equal to n.  The binomial coefficients n C0 , n C1 , n C 2........ equidistant from beginning and end are equal i.e., n Cr  n Cn  r.  (x  y)n  Sum of odd terms + sum of even terms. U  6.1.3 Some Important Expansions. (1) Replacing (x  y )  C 0 x n n 0 y.y  C1 x ST n 0 n by n 1.y  C 2 x 1 n n2 –. y....  (1) 2 y r n Cr x in n r (i),.y ....  (1) r n n we 0 C n x.y get,  n i.e., (x  y )n   (1)r n C r x n r.y r.....(ii) r 0 The terms in the expansion of (x  y )n are alternatively positive and negative, the last term is positive or negative according as n is even or odd. (2) Replacing x by 1 and y by x in equation (i) we get, (1  x )n  n C 0 x 0  n C1 x 1  n C 2 x 2 ......  n C r x r ......  n C n x n i.e., (1  x )n  n  r 0 This is expansion of (1  x) in ascending power of x. n n Cr x r Binomial Theorem 241 (3) Replacing x by 1 and y by – x in (i) (1  x )n  n C 0 x 0  n C1 x 1  n C 2 x 2 ......  (1)r n C r x r ....  (1)n n C n x n i.e., (1  x )n  we get, n  (1) r n Cr x r r 0 (4) (x  y)  (x  y)  2 [ C 0 x y  C 2 x n n n n 0 n n2 y  C4 x 2 n n 4 y .......] and 4 60 (x  y)n  (x  y)n  2 [n C1 x n 1 y 1  n C 3 x n 3 y 3  n C 5 x n 5 y 5 .......] (5) The coefficient of (r  1)th term in the expansion of (1  x)n is n Cr. (6) The coefficient of x r in the expansion of (1  x)n is n Cr. Note :  If n is odd, then (x  y)n  (x  y)n and (x  y)n  (x  y)n , both have the same number of E3 n 1 .  2  terms equal to  n n   If n is even, then (x  y)n  (x  y)n has   1  terms and (x  y)n  (x  y)n has terms. 2 2  x 5  10 x 4 a  40 x 3 a 2  80 x 2 a 3  80 xa 4  32 a 5  (b) (3 x  a)5 (a) (x  a)5 Solution: (c) ID Example: 1 (c) (x  2a)5 (d) (x  2a)3 Conversely (x  y )n n C0 n C1 x n 1 y 1 n C 2 x n  2 y 2 ....  n Cn x 0 y n U (x  2a)5 = 5 C0 x 5  5 C1 x 4 (2a)1  5 C 2 x 3 (2a)2  5 C 3 x 2 (2a)3  5 C 4 x 1 (2a)4  5 C5 x 0 (2a)5 = x 5  10 x 4 a  40 x 3 a 2  80 x 2 a 3  80 xa 4  32 a5. Example: 2 The value of ( 2  1)6  ( 2  1)6 will be (b) 198 (c) 98 D YG (a) – 198 Solution: (b) (d) – 99 We know that, (x  y )n  (x  y )n  2[ x n n C 2 x n  2 y 2 n C4 x n  4 y 4 .....] ( 2  1)6  ( 2  1)6  2[( 2 )6 6 C2 ( 2 )4 (1)2 6 C4 ( 2 )2 (1)4 6 C6 ( 2 )0 (1)6 ] = 2[8  15  4  30  1]  198 Example: 3 The larger of 99 50  100 50 and 101 50 is  100 50 We have, 101 50 (a) 99 Solution: (c) 50 [IIT 1980] 50 (b) Both are equal  (100  1) 50  100 50  50.100 49 (c) 101 50.49  100 48  2.1 (d) None of these.....(i) 50. 49 100 48 ............ (ii) 2.1 50.49.48  2. 100 47 .....  100 50. Hence 101 50  100 50  99 50. 3.2.1 U and 99 50  (100  1)50  100 50  50.100 49  Subtracting, 101 50  99 50  100 50 Sum of odd terms is A and sum of even terms is B in the expansion of (x  a)n , then ST Example: 4 (a) AB  1 (x  a)2 n  (x  a) 2 n 4 (b) 2 AB  (x  a)2n  (x  a)2n (c) 4 AB  (x  a)2n  (x  a)2n Solution: (c) (x  a)  C0 x  C1 x n n n n n 1 1 a  C2 x n (d) None of these n2 2 a ...  Cn x n n n.a  (x  n C 2 x n  2 a 2 ..)  (n C1 x n 1a1  n C3 x n  3 a 3 ....)  A  B.....(i) n n Similarly, (x  a)n  A  B.....(ii) From (i) and (ii), we get 4 AB  (x  a) 2n  (x  a) 2n Trick: Put n  1 in (x  a). Then, x  a  A  B. Comparing both sides A  x, B  a. n Option (c) L.H.S. 4 AB  4 xa , R.H.S. (x  a)2  (x  a)2  4 ax. i.e., L.H.S. = R.H.S 6.1.4 General Term. (x  y)n  n C 0 x n y 0  n C1 x n 1 y 1  n C 2 x n  2 y 2 .....  n C r x n r y r ....  n C n x 0 y n 242 Binomial Theorem The first term = n C 0 x n y 0 The third term = n C 2 x n  2 y 2 and so on The second term = n C1 x n 1 y 1. The term n C r x n r y r is the (r  1)th term from beginning in the expansion of (x  y)n. 60 Let Tr  1 denote the (r + 1)th term  Tr 1  n C r x n r y r This is called general term, because by giving different values to r, we can determine all terms of the expansion. In the binomial expansion of (x  y)n , Tr 1  (1)r n C r x n r y r In the binomial expansion of (1  x )n , Tr 1 n Cr x r Note :  In the binomial expansion of E3 In the binomial expansion of (1  x )n , Tr 1  (1)r nCr x r (x  y)n , the pth term from the end is (n  p  2)th term from beginning. Important Tips In the expansion of (x  y )n , n  N ID  Tr 1  n  r  1  y   Tr r  x n(n  1) 2 n(n  1) in the expansion of (x  1)(x  2).....( x  n)  2 The coefficient of x n 1 in the expansion of (x  1)(x  2).......( x  n)    The coefficient of x n 1 D YG Example: 5 U  If the 4th term in the expansion of ( px  x 1 )m is 2.5 for all x  R then (a) p  5 / 2, m  3 Solution: (b) We have T4  (b) p  5 5  T3 1   2 2 1 ,m  6 2 (c) p   1 ,m  6 2 (d) None of these 3 m 5 5 1 C3 ( px )m  3    m C3 p m  3 x m  6  2 2 x.......(i) U Clearly, R.H.S. of the above equality is independent of x  m 6  0 , m  6 5 1 Putting m  6 in (i) we get 6 C 3 p 3   p . Hence p  1 / 2, m  6. 2 2 ST Example: 6 If the second, third and fourth term in the expansion of (x  a)n are 240, 720 and 1080 respectively, then the value of n is Solution: (d) [Kurukshetra CEE 1991; DCE 1995, 2001] (a) 15 (b) 20 It is given that T2  240 , T3  720 , T4  1080 (c) 10 (d) 5 Now, T2  240  T2  n C1 x n 1 a1  240.....(i) and T3  720  T3 n C 2 x n  2 a 2  720 T4  1080  T4  C 3 x To eliminate x, Now Example: 7 n T2.T4 T32 n 3 3 a  1080 .....(ii).....(iii) T T 240. 1080 1 1   2. 4 . 720. 720 2 T3 T3 2 n Tr 1 C n2 2 1 n r 1.   n r . Putting r  3 and 2 in above expression, we get  n5 Tr r 3 n 1 2 C r 1  x3 2  3 The 5th term from the end in the expansion of  x  2 9   is   Binomial Theorem 243 (b)  (a) 63 x 3 252 x3 672 x 18 (c) (d) None of these 9 Solution: (b)  x3 2  5th term from the end = (9  5  2)th term from the beginning in the expansion of   3  = T6 2 x   4 60 Example: 8  x 3   2 5 1 252    T6  T5 1 9 C5    9 C4.2. 3   3. 3  x x  2   x  T T If 2 in the expansion of (a  b)n and 3 in the expansion of (a  b)n  3 are equal, then n  T4 T3 [Rajasthan PET 1987, 96] T2 T3  T3 T4 E3  (d) 6 2 b 3 b      2n  2  3n  3  n  5 n 1  a  n 1  a  (given) ;  6.1.5 Independent Term or Constant Term. ID Solution: (c) (a) 3 (b) 4 (c) 5 T 2 b 2 b T 3 3 b b. .     and 3     2  T3 n  2  1 a n  1  a  T4 n  3  3  1  a  n  1  a  Independent term or constant term of a binomial expansion is the term in which exponent of the variable is zero. Example: 9 U Condition : (n  r) [Power of x] + r. [Power of y] = 0, in the expansion of [ x  y]n.  x 3 The term independent of x in the expansion of    3 2x 2      10 will be D YG [IIT 1965; BIT Ranchi 1993; Karnataka CET 2000; UPSEAT 2001] 3 (a) 2 5 (b) 4 8/2 5 2 (c) (d) None of these 2 Solution: (b) 1 1 (10  r)    r(2)  0  r  2  T3 10 C 2   2 3 Example: 10 1  The term independent of x in the expansion of (1  x )n 1   x  5 3    4 2 (a) C02  2C12 ......  (n  1) Cn2 (b) (C0  C1 ......  Cn )2 We know that, (1  x )  C0  C1 x  C 2 x ..........  Cn x n n 1 n 2 is n [EAMCET 1989] (c) C02  C12 ......  Cn2 n U Solution: (c) n n n 1 1 1 1   1   n C0  n C1 1  n C 2 2 .....  n Cn n x x x x  ST Obviously, the term independent of x will be nC0.nC0 nC1nC1 .....  nCn.nCn  C02  C12 .......  Cn2 1 1 1 1  Trick : Put n  1 in the expansion of (1  x )1 1    1  x   1  2  x .....(i) x x x  We want coefficient of x 0. Comparing to equation (i). Then, we get 2 i.e., independent of x. Option (c) : C 02  C12 ..... C n2 ; Put n  1 ; Then 1 C 02  1 C12  1  1  2. Example: 11 1   The coefficient of x 7 in the expansion of  ax  2  bx   11 will be [IIT 1967; Rajasthan PET 1996] (a) 462 a 6 b5 (b) 462 a 5 b 6 (c)  462 a 5 b 6 (d)  462 a 6 b5 6 Solution: (b) 462 a5  1 For coefficient of x 7 , (11  r)(1)  (2). r  7  11  r  2r  7  r  6 ; T7 11 C6 (a)5     b6  b (d) 244 Binomial Theorem Example: 12 If the coefficients of second, third and fourth term in the expansion of (1  x )2n are in A.P., then 2n 2  9n  7 is equal to [AMU 2001] (a) –1 (c) 1 (d) 3/2 T2  2 n C1 , T3  2 n C 2 , T4  2 n C 3 are in A.P. then, 2. 2 n C 2  2 n C1  2 n C 3 2. 2n(.2n  1) 2n 2n(2n  1)(2n  2)   2.1 1 3.2.1 60 Solution: (b) (b) 0 On solving, 2n 2  9n  7  0 Example: 13 The coefficient of x 5 in the expansion of (1  x 2 )5 (1  x )4 is (a) 30 Solution: (b) (b) 60 (c) 40 4 5 5 2 5 (b) A  2B 4 1 4 2 C 2. 4 C1  4 C 3. 5 C1  60 Cn  (d) None of these.....(i) (2n  1)! n!(n  1)! U 2 n 1 ID A  coefficient of x n in (1  x )2n By (i) and (ii) we get, A  2 B.....(ii) The coefficient of x n in the expansion of (1  x )(1  x )n is (a) (1)n 1 n (b) (1)n (1  n) D YG Solution: (b) 5 4 (c) 2 A  B ( 2 n ) ! 2.( 2n  1)! = 2 n Cn  = (n  1)!n! n!n! B  coefficient of x n in (1  x ) 2n 1  Example: 15 4 If A and B are the coefficient of x n in the expansions of (1  x )2n and (1  x )2n1 respectively, then[MP PET 1999 (a) A  B Solution: (b) (d) None of these We have (1  x ) (1  x ) = ( C 0  C1 x  C 2 x .....) ( C 0  C1 x  C 2 x .......) 2 5 So coefficient of x 5 in [(1  x 2 )5 (1  x )4 ] = Example: 14 [EAMCET 1996; E3 UPSEAT 2001; Pb. CET 2002] Coefficient of x n (c) (1)n 1 (n  1)2 in (1  x )(1  x ) = Coefficient of x n n (d) (n  1) in (1  x)  coefficient of x n 1 in (1  x )n n = Coefficient of x n in [n Cn ( x )n  x.n Cn 1 ( x )n 1 ] = (1)n n Cn  (1)n 1.n C1 = (1)n  (1)n.(n)  (1)n [1  n]. 6.1.6 Number of Terms in the Expansion of (a + b + c) n and (a + b + c + d) n. (a  b  c)n can be expanded as : (a  b  c)n  {(a  b)  c}n  (a  b)n  n C1 (a  b)n 1 (c)1  n C 2 (a  b)n  2 (c)2 .....  n C n c n  (n  1) term  n term  (n  1)term ...  1term (n  1)(n  2). 2 (n  1)(n  2)(n  3) Similarly, Number of terms in the expansion of (a  b  c  d )n . 6 ST U  Total number of terms = (n  1)  (n)  (n  1) ......  1  Example: 16 If the number of terms in the expansion of (x  2y  3 z)n is 45, then n  (a) 7 Solution: (b) Example: 17 (c) 9 (d) None of these (n  1) (n  2)  45  (n  1)(n  2)  90  n  8. Given, total number of terms = 2 The number of terms in the expansion of [(x  3 y) 2 (3 x  y) 2 ]3 is (a) 14 Solution: (b) (b) 8 (b) 28 (d) 56 ( 6  1 ) ( 6  2 )  28 We have [(x  3 y)(3 x  y)]6 = [3 x 2  8 xy  3 y 2 ]6 ; Number of terms = 2 6.1.7 Middle Term. The middle term depends upon the value of n. (c) 32 [Rajasthan PET 1986] Binomial Theorem 245 (1) When n is even, then total number of terms in the expansion of (x  y )n is n  1 (odd). So n  there is only one middle term i.e.,   1  2  th term is the middle term. T n   2 1    n Cn / 2 x n / 2 y n / 2 (2) When n is odd, then total number of terms in the expansion of (x  y )n is n  1 (even). So, and T n  3   n C n 1 x    2  n3 and    2  th are two middle terms. T n 1   n C n 1 x    2  n 1 n 1 2 y 2 2 n 1 n 1 2 y 2 2 E3 Note th 60 n 1 there are two middle terms i.e.,    2  :  When there are two middle terms in the expansion then their binomial coefficients are equal. Example: 18 ID  Binomial coefficient of middle term is the greatest binomial coefficient. 1  The middle term in the expansion of  x   x  1991] 10 C4 1 x (b) 10 is (c) C5 Solution: (b) ∵ n is even so middle term T 10 Example: 19 The middle term in the expansion of (1  x ) 2 n is Solution: (d) 10 C5 x  T6  T6  T5 1  10 C 5 x 5. D YG   1   2  1.3.5......( 2n  1) 2 n 1 x (a) n! [BIT Ranchi 1991; Rajasthan PET 2002; Pb. CET U (a) 10 2.4.6...... 2n 2n 1 x (b) n! Since 2n is even, so middle term = T 2 n 2 1 1 (d) 10 C7 x 4  10 C 5 x5 [Pb. CET 1998] 1.3.5......( 2n  1) n x (c) n!  Tn 1  Tn 1  2n Cn x n  1. 3.5......( 2n  1) n n x.2 (d) n! (2n)! n 1.3. 5........( 2n  1) n n x =.2 x. n! n!. n! 6.1.8 To Determine a Particular Term in the Expansion. n ST U 1   In the expansion of  x     , if x m occurs in Tr 1 , then r is given by n   r(   )  m  x   n  m r  Thus in above expansion if constant term which is independent of x, occurs in Tr 1 then r is determined by n n   r(   )  0  r   Example: 20 9  3x 2 1   The term independent of x in the expansion of  is 2 3 x   (a) 7/12 (b) 7/18 (c) – 7/12 3 (d) – 7/16 6 9 8 7 1 7 9(2) 3  1.   6. Hence, T7 9 C6      . 12 3  2  1 2 3.3 3 18 2  3 Solution: (b) n =9,   2 ,   1. Then r  Example: 21 1   If the coefficient of x 7 in  ax 2   bx   11 11 1   is equal to the coefficient of x 7 in  ax  2  bx   then ab = [MP PET 1999; AMU 2001; Pb. CET 2002] 246 Binomial Theorem (a) 1 (b) 1/2 (c) 2 (d) 3 Solution: (a) 1   For coefficient of x 7 in  ax 2   ; n = 11,   2,   1 , m  7 bx   11. 2  7 15 r  5 2 1 3 1 Coefficient of x 7 in T6  11 C 5 a 6. 5......(i) b 11 60 11 E3 1  11. 1  7  and for coefficient of x 7 in  ax  6  ; n  11,   1,   2 , m  7 ; r  2 3 bx   1 Coefficient of x 7 in T7 11 C 6.a 5. 6.....(ii) b From equation (i) and (ii), we get ab  1 6.1.9 Greatest Term and Greatest Coefficient. (1) Greatest term : If Tr and Tr 1 be the rth and (r  1)th terms in the expansion of (1  x)n , then ID n Tr 1 C xr n r 1  n r r 1  x Tr r C r 1 x  n r 1 | x| 1 r or r  U Let numerically, Tr 1 be the greatest term in the above expansion. Then Tr 1  Tr or (n  1) | x| (1 | x |) Tr 1 1 Tr......(i) D YG Now substituting values of n and x in (i), we get r  m  f or r  m where m is a positive integer and f is a fraction such that 0  f  1. When n is even Tm 1 is the greatest term, when n is odd Tm and Tm 1 are the greatest terms and both are equal. Short cut method : To find the greatest term (numerically) in the expansion of (1  x)n. x (n  1) x 1 U (i) Calculate m = (ii) If m is integer, then Tm and Tm 1 are equal and both are greatest term. ST (iii) If m is not integer, there T[m ]1 is the greatest term, where [.] denotes the greatest integral part. (2) Greatest coefficient (i) If n is even, then greatest coefficient is n Cn / 2 (ii) If n is odd, then greatest coefficient are n C n 1 and n C n  3 2 2 Important Tips  For finding the greatest term in the expansion of n y  (x  y )n  x n 1  . x  (x  y )n. we rewrite the expansion in this form Binomial Theorem 247 y  Greatest term in (x + y) n  x n. Greatest term in 1   x  The largest term in the expansion of (3  2 x )50 , where x  2x   Solution: (c,d) (3  2 x )50  3 50 1  3   (b) 8th 50 (c) 7th 2x   , Now greatest term in  1   3   1 2. 2x 5 (51) (50  1) x (n  1) r  3  3  6 (an integer) 2x 2 1 x 1 1 3 15 (d) 6th 50 60 (a) 5th 1 is 5 E3 Example: 22 n  Tr and T[r]1  T6 and T[6 ]1  T6 and T7 are numerically greatest terms The greatest coefficient in the expansion of (1  x ) 2n  2 is (2 n ) ! n!2 (a) (b) (2n  2)! [(n  1)!]2 (2n  2)! n!(n  1)! (c) (d) (2n)! n!. (n  1)! (2n  2)! [(n  1)!]2 ID Example: 23 Solution: (b)  n is even so greatest coefficient in (1  x ) 2n  2 is = Example: 24 coefficient is The interval in which x must lie so that the greatest term in the expansion of (1  x )2n has the greatest Here the greatest coefficient is   n n2 , (c)   n 2 n  2n 2n C n x n  2 n C n  1 x n 1  x  (d) None of these Cn D YG Solution: (b)  n n 1  , (b)    n 1 n  Cn 1  U n   n 1 , (a)   n 1   n 2n  2 n and n 1 2n C n x n  2 n C n 1 x n  1  x  n 1. Hence the result is (b) n 6.1.10 Properties of Binomial Coefficients. In the binomial expansion of (1  x )n , (1  x )n  n C 0  n C1 x  n C 2 x 2 .....  n C r x r ....  n C n x n. where n C 0 , n C1 , n C 2 ,......, n C n are the coefficients of various powers of x and called binomial coefficients, and they are written as C 0 , C 1 , C 2 ,.....C n. U Hence, (1  x )n  C 0  C1 x  C 2 x 2 .....  C r x r .....  C n x n.....(i) (1) The sum of binomial coefficients in the expansion of (1  x)n is 2 n......(ii) ST Putting x  1 in (i), we get 2 n  C 0  C1  C 2 .....  C n (2) Sum of binomial coefficients with alternate signs : Putting x  1 in (i) We get, 0  C 0  C1  C 2  C 3 ...... …..(iii) (3) Sum of the coefficients of the odd terms in the expansion of (1  x)n is equal to sum of the coefficients of even terms and each is equal to 2n 1. From (iii), we have C 0  C 2  C 4 .....  C1  C 3  C 5 ..............(iv) i.e., sum of coefficients of even and odd terms are equal. From (ii) and (iv), C0  C2  C4 .....  C1  C3  C5 .....  2n 1......(v) (4) n Cr  n r n 1 n n  1 n2 Cr 1 . Cr  2 and so on. r r 1 248 Binomial Theorem (5) Sum of product of coefficients : Replacing x 1 x by in (i) we get n 1 C C C   1    C0  1  22 ... nn .... (vi) x x x x  (1  x )2 n C C    (C0  C1 x  C 2 x 2 ......)  C0  1  22 .....  n x x x   Now comparing coefficient of x r on both sides. 2n.....(vii) Cn  r  C0 Cr  C1Cr 1 ......Cn  r.Cn 60 Multiplying (i) by (vi), we get We (6) Sum of squares of coefficients : Putting r  0 in (vii), we get 2n  1 n 1 (a) We have = (b) n.2 n (d) 2n  1 n 1  1  (n  1)n (n  1)(n)(n  1)(n  2) 1 2n  1  .....  = [2 (n 1)1  1]   n 1 n 1 n  1  2! 4!  D YG C1 1 C1 1   2 2 2 Which is given by option (a) 2 n  1 21  1 1  . n 1 1 1 2 The value of C0  3C1  5C2 .....  (2n  1)Cn is equal to (b) 2 n  n. 2 n 1 (a) 2 n (c) 2 n (n  1) n Solution: (c) 2n n (c) n n(n  1)(n  2) n(n  1)(n  2)(n  3)(n  4 ) C1 C 3 C 5   .....   ...... = 2.1 4.3.2.1 6.5.4.3.2.1 2 4 6 Trick: For n  1 , = Example: 26 [Karnataka CET 2000] U Solution: (a) C1 C 3 C 5   ..... is equal to 2 4 6 ID The value of Cn  C02  C12 ......Cn2 E3 (7) nCr nCr 1 n 1Cr Example: 25 2n We have C0  3C1  5C2 .....  (2n  1) Cn =  n U  n r.. n 1Cr 1  r r 1 n n  n Cr = 2n r 0  n 1 (2r  1) C r  r 1  (2r  1) n C r = r 0 n Cr 1  (d) None of these n n r 0 = 2.  n  n 2r n Cr  r 0  n Cr r 0 Cr = 2n [(1  1)n 1 ]  [1  1]n = 2n. 2 n 1  2 n  2 n.[n  1]. r 0 ST Trick: Put n  1 in given expansion C 0  3.1 C1  1  3  4. 1 Which is given by option (c) 2 n.(n  1)  2 1 (1  1)  4. n Example: 27 If S n   r 0 1 and t n  n Cr n  r 0 2n  1 (a) 2 Solution: (d) n  r 0 r  n Cr t r. Then n is equal to Sn Cr 1 n 1 2 (b) Take n  2m , then, S n  tn  n 2m  r 0 r  Cr 2m 1  C0 2m 1  C1 2m (c) n  1 1 ......  C1 2m 2 ......  C2 2m get, 2m  1 1  = 2  2m C2m  C0 2m C2 m 2m (d) 1 ......  C1 2m 2m n 2  1  Cm 1  1 Cm 2m Binomial Theorem 249 1 2m  1     C1 2 m C 2 m 1   2m  1  = 2m  2 m  C1 tn  mS n  Example: 28  1 .....   C2  2m 2 2m  2  C2 2m C2m  2 2m   m 1 m 1   ......     2m   2m C Cm 1  m 1    1 m  2 m = 2m  2 m  Cm  C0 2m 1 ...  C1 2m 2m m  Cm 2m  1  Cm 1  tn n m  Sn 2 2m C2m 2m  m  m S n  Cm  2m 1   Cm  2m m  mSn Cm 2m 60  tn    If (1  x  x 2 )n  a0  a1 x  a2 x 2 ......  a2 n x 2 n. Then a0  a 2  a4 ......  a 2n = [MNR 1992; DCE 1996; AMU 1998; Rajasthan PET 1999; Karnataka CET 1999; UPSEAT 1999] 3n  1 (a) 2 (c) (1  x  x 2 )n  a 0  a1 x  a 2 x 2 ......  a 2 n x 2 n 1  3n 2 (d) 3 n  1 2 E3 Solution: (a) 3n  1 2 (b) Putting x  1, we get (1  1  1)n  a 0  a1  a 2 ....  a 2 n ; 1  a0  a1  a 2 .....  a 2n Again putting x  1 , we get 3  a0  a1  a2 ......  a2 n n.....(i)......(ii) Adding (i) and (ii), we get, 3  1  2[a 0  a 2  a 4 ......  a 2 n ] 3n  1  a 0  a 2  a 4 .......  a 2n 2 If (1  x )n  C x r r r 0   C  C  C , then 1  1  1  2 ...... 1  n C C C 0 1 n 1     n 1 (a) (b) (n  1)n 1 (n  1) ! (c) (n  1)n n! (d) (n  1)n1 n!   n  n(n  1) / 2 !  1 C  C  C    We have  1  1   1  2 ........  1  n  =  1    1  ......  1   1 n n C C C      0  1  n 1    D YG Solution: (c) n (n  1) !     U n Example: 29 ID n 1n 1n 1n   1  n  (n  1)n =    .......   n!  1  2  3   n  Trick : Put n  1, 2, 3......., S 1  1  2 2    C1  1  C1   1  C 2   9 2 ,  S  2 1 2 2    C0 C1   C1  2  1 Which is given by option (c) n  1 , In the expansion of (1  x )5 , the sum of the coefficient of the terms is [Rajasthan PET 1992, 97; Kurukshetra CEE U Example: 30 (2  1)2 (1  1)1 9  2 ; For n  2 ,  1! 2! 2 (a) 80 (b) 16 (c) 32 (d) 64 Putting x  1 in (1  x ) , the required sum of coefficient = (1  1)  2  32 Example: 31 If the sum of coefficient in the expansion of ( 2 x 2  2 x  1)51 vanishes, then the value of  is [IIT ST Solution: (c) 5 5 5 1991; Pb. CET 1988] (a) 2 Solution: (c) (b) –1 (c) 1 (d) – 2 The sum of coefficient of polynomial ( 2 x 2  2 x  1)51 is obtained by putting x  1 in ( 2 x 2  2 x  1)51. Therefore by hypothesis ( 2  2  1)51 = 0    1 Example: 32 If Cr stands for n C r , the sum of given series 2(n / 2)!(n / 2)! 2 [C0  2C12  3 C22 ......  (1)n (n  1)Cn2 ] where n is n! an even positive integer, is (a) 0 Solution: (d) (b) (1)n / 2 (n  1) (c) (1)n (n  2) (d) (1)n / 2 (n  2) We have C02  2C12  3 C 22 ........  (1)n (n  1)Cn2 = [C02  C12  C22 .......  (1)n Cn2 ]  [C12  2C22  3 C32......  (1)n n.Cn2 ] n 1  = (1)n / 2.n Cn / 2  (1)n / 2 1. n.n Cn / 2 = (1)n / 2 1   n C n / 2 2 2  250 Binomial Theorem 2. Therefore the value of given expression  Example: 33 n n   ! ! 2 2 (1)n / 2. 1  n  n!   (1)n / 2 (n  2)   n! 2 n n    ! !  2 2  If (1  x )n  C0  C1 x  C 2 x 2 .......  Cn x n , then the value of C0  2C1  3C2 ......  (n  1)Cn will be [MP PET 1996; Rajasthan PET 1997; DCE 1995; IIT 1971; AMU 1995; EAMCET 2001] Solution: (a) (c) (n  1) 2 n 1 (b) (n  1)2n (d) (n  2) 2 n 60 (a) (n  2) 2 n 1 Trick: Put n  1 the expansion is equivalent to 1C0  2.1 C1  1  2  3. Which is given by option (a) = (n  2)2n 1 = (1  2) 2 0  3 E3 (1) Use of Differentiation : This method applied only when the numericals occur as the product of binomial coefficients. Solution process : (i) If last term of the series leaving the plus or minus sign be m, then divide m by n if q be the quotient and r be the remainder. i.e., m  nq  r Example: 34 C1  2C 2  3 C 3 ..... n C n  2002] Solution: (c) [Rajasthan PET 1995; MP PET (c) n. 2 n  1 (b) n. 2 n D YG (a) 2 n U ID Then replace x by x q in the given series and multiplying both sides of expansion by x r. (ii) After process (i), differentiate both sides, w.r.t. x and put x  1 or  1 or i or – i etc. according to given series. (iii) If product of two numericals (or square of numericals) or three numericals (or cube of numerical) then differentiate twice or thrice. (d) n. 2 n  1 We know that, (1  x )n  C0  C1 x  C 2 x 2 ......  Cn x n......(i) n 1 Differentiating both sides w.r.t. x, we get n(1  x ) = 0 + C1  2. C 2 x  3 C3 x .......  nC n x n 1 2 Putting x  1, we get, n. 2n 1  C1  2C2  3 C3 ......  n Cn. Example: 35 If n is an integer greater than 1, then a n C1 (a  1)  n C 2 (a  2) ........  (1)n (a  n)  Solution: (b) (a) a (b) 0 (c) a 2 (d) 2 n We have a[C0  C1  C 2......]  [C1  2C 2  3C 3.....] = a[C0  C1  C 2......]  [C1  2C 2  3C 3 ......] U We know that (1  x )n  C0  C1 x  C 2 x 2......  (1)n Cn x n ; Put x  1 , 0  C0  C1  C2 ....... Then differentiating both sides w.r.t. to x , we get n(1  x )n 1  0  C 1  2C 2 x  3 C 3 x 2 ..... Put x  1 , 0  C1  2C 2  3C 3 .... = a[0 ]  [0 ]  0. ST (2) Use of Integration : This method is applied only when the numericals occur as the denominator of the binomial coefficients. Solution process : If (1  x )n  C 0  C1 x  C 2 x 2 .....  C n x n , then we integrate both sides between the suitable limits which gives the required series. (i) If the sum contains C 0 , C1 , C 2 ,....... C n with all positive signs, then integrate between limit 0 to 1. (ii) If the sum contains alternate signs (i.e. +, –) then integrate between limit – 1 to 0. (iii) If the sum contains odd coefficients i.e., (C0, C2, C4.....) then integrate between –1 to 1. (iv) If the sum contains even coefficients (i.e., C1 , C 3 , C 5.....) then subtracting (ii) from (i) and then dividing by 2. (v) If in denominator of binomial coefficients is product of two numericals then integrate two times, first taking limit between 0 to x and second time take suitable limits. Binomial Theorem 251 C0 C1 C 2 C   .....  n  1 2 3 n 1 (a) Solution: (c) 2n n 1 [Rajasthan PET 1996] 2n  1 n 1 (b) 2 n 1  1 n 1 (c) (d) None of these Consider the expansion (1  x )n  C0  C1 x  C 2 x 2 ....  Cn x n Integrating both sides  (1  x) dx   C   C x   C x 1 1 n 0 0 1 0 0 1 1 (i) within.....(i) limits  0 to 1 we get, 1 .......  Cn x ndx 2 2 0 1 of 60 Example: 36 0 1 1  (1  x )n 1   x2   x n 1  1    C0 [ x ]0  C1   ........  Cn    n  1  0  2  0  n  1  0 Example: 37 2C0  E3 C C C 2n 1 1 1 1 2n 1  1 1 ; C0  1  2 ....  n .   C0  C1  C2 .......  Cn. n 1 n 1 n 1 n 1 2 3 2 3 n 1 22 23 211 C1  C 2 ......  C10  2 3 11 [MP 1992] Solution: (a) 3 11  1 11 (b) 211  1 11 (c) 11 3  1 11 (d) ID (a) PET 1999; EAMCET 11 2  1 11 It is clear that it is a expansion of (1  x )10  C0  C1 x  C 2 x 2 .....  C10 x 10 Integrating w.r.t. x both sides between the limit 0 to 2. 2 2 2 2 The sum to (n  1) terms of the following series (a) Solution: (d) D YG Example: 38 U  (1  x )11   x2   x3   x 11  311  1 22 23 211 2  2 C0 .C1 .C2 ......  C10.    C0 [ x ]0  C1    C 2   ......  C10    11 2 2 11  11  0  2  0  3  0  11  0 1 n 1 (b) 1 n2 C 0 C1 C 2 C 3    ..... is 2 3 4 5 (c) 1 n(n  1) (d) None of these (1  x )n  C 0  C1 x  C 2 x 2  C 3 x 3 .......  x (1  x )n  C 0 x  C1 x 2  C 2 x 3  C 3 x 4 .....    0 The integral on L.H.S. of (i) = (1  t) t n (dt ) by putting 1  x  t ,  U 1 1 1 x2  x3  x4  x (1  x )n dx  C 0    C1    C 2   ....... (i) 0  2  0  3  0  4  0 1 1  (t 1 n  t n 1 ) dt  0 1 1  n 1 n  2 Whereas the integral on the R.H.S. of (i) ST 1 1 1 C C C 1  1  C   = C0    C1    2 ....... = 0  1  2 ....... to (n  1) terms = n  1 n  2 (n  1)(n  2) 2 3 4 2 3  4 Trick : Put n  1 in given series = 1 C0 1 C1 1  . Which is given by option (d). 2 3 6 6.1.11 An Important Theorem. If ( A  B)n = I  f where I and n are positive integers, n being odd and 0  f  1 then (I  f ). f  K n where A  B 2 = K  0 and Note :  If n is even integer then ( A  B  1. A  B)n  ( A  B)n  I  f  f  Hence L.H.S. and I are integers.  f  f  is also integer;  f  f   1 ;  f   (1  f ) 252 Binomial Theorem Hence (I  f ) (1  f )  (I  f ) f  = ( A  B)n ( A  B)n = ( A  B 2 )n = K n. Example: 39 Let R  (5 5  11)2 n 1 and f  R  [R ] where [.] denotes the greatest integer function. The value of R.f is [IIT 19 (a) 4 2 n 1 Solution: (a) (d) 4 2 n (c) 4 2 n 1 (b) 4 2 n Since f  R  [R ] , R  f  [R ] Now let f '  [5 5  11]2n1 , 0  f '  1 f  [R]  f '  [5 5  11]2 n 1  [5 5  11]2 n 1 = 2  2 n 1 60 [5 5  11]2 n 1  f  [R] , where [R] is integer C1 (5 5 )2n (11)1  2n 1 C 3 (5 5 )2n 2 (11)3 ....... E3 = 2.(Integer ) = 2 K (K  N ) = Even integer  Hence f  f ' = even integer – [R], but 1  f  f '  1. Therefore, f  f '  0  f  f ' Hence R.f = R. f '  (5 5  11)2n 1 (5 5  11)2n 1  4 2n 1. 6.1.12 Multinomial Theorem (For positive integral index). is (a1  a 2  a 3 ...  am )n   positive integer n! a n1 a n2...amnm n1 !n 2 !n 3 !...nm ! 1 2 Where n1 , n 2 , n 3 ,.....n m n1  n2  n3 .....nm  n. are and ID n all non-negative integers U If a1 , a 2 , a 3 ,....a n  C subject to D YG (1) The coefficient of a1n1.a 2n 2.....a mnm in the expansion of (a1  a2  a3 ....am )n is (2) The greatest coefficient in the expansion of (a1  a 2  a3 ....am )n is m r the then condition, n! n1 ! n2 ! n3 !....nm ! n! [(q  1)!]r (q!) Where q is the quotient and r is the remainder when n is divided by m. (3) If n is +ve integer and a1 , a 2 ,.....a m  C, a1n1. a 2n 2......... a mnm then coefficient of x r in the expansion of (a1  a2 x .....am x m 1 )n is  n !n !n !.....n n! 1 2 3 m! U Where n1 , n 2.....n m are all non-negative integers subject to the condition: n1  n 2 .....n m  n and n 2  2n 3  3n 4 ....  (m  1)n m  r. ST (4) The number of distinct (a1  a 2  a3 ....am )n is n m 1 C m 1. Example: 40 dissimilar terms in the multinomial expansion The coefficient of x 5 in the expansion of (x 2  x  2)5 is (a) – 83 Solution: (c) or (b) – 82 (c) – 81 Coefficient of x 5 in the expansion of (x 2  x  2)5 is  (d) 0 5! (1)n1 (1)n 2 (2)n3. n1 !. n 2 ! n 3 ! where n1  n2  n3  5 and n2  2n3  5. The possible value of n1 , n2 and n3 are shown in margin n1 1 2 0 n2 3 1 5 n3 1 2 0  The coefficient of x 5 = 5! 5! 5! (1)1 (1)3 (2)1  (1)2 (1)1 (2)2 + (1)0 (1)5 (2)0 = 40  120  1  81 1! 3!1! 2!1!2! 0!5!0! Binomial Theorem 253 Find the coefficient of a 3 b 4 c 5 in the expansion of (bc  ca  ab)6 (a) 0 (b) 60 (c) – 60 (d) None of these In this case, a3b 4 c 5  (ab)x (bc )y (ca)z  a x  z.b x  y.c y  z z + x = 3, x  y  4, y  z  5 ; 2(x  y  z )  12 ; x  y  z  6. Then x  1, y  3, z  2 Example: 41 Solution: (b) Therefore the coefficient of a 3 b 4 c 5 in the expansion of (bc  ca  ab)6 = 60 6.1.13 Binomial Theorem for any Index. 6!  60. 1! 3! 2! n(n  1)x 2 n(n  1) (n  2) 3 n(n  1)......(n  r  1) r  x ....  x ... terms up to  2! 3! r! When n is a negative integer or a fraction, where  1  x  1 , otherwise expansion will not be possible. If x  1 , the terms of the above expansion go on decreasing and if x be very small a stage may be reached when we may neglect the terms containing higher power of x in the expansion, then (1  x )n  1  nx. Important Tips  Expansion is valid only when 1  x  1. n ID  E3 Statement : (1  x )n  1  nx  C r can not be used because it is defined only for natural number, so n C r will be written as The number of terms in the series is infinite.  y  If first term is not 1, then make first term unity in the following way, (x  y )n  x n 1   , if x  U  n (n) (n  1)......( n  r  1) r! y 1. x n(n  1)(n  2)......(n  r  1) r x r! Some important expansions: n(n  1)(n  2)......(n  r  1) r n(n  1) 2 (i) (1  x )n  1  nx  x .......  x ...... 2! r! n(n  1) 2 n(n  1)(n  2).....(n  r  1) (ii) (1  x )n  1  nx  x .......  ( x )r ....... 2! r! n(n  1) 2 n(n  1) (n  2) 3 n(n  1)......(n  r  1) r (iii) (1  x )n  1  nx  x  x .....  x ..... 2! 3! r! n(n  1) 2 n(n  1)(n  2) 3 n(n  1)......(n  r  1) (iv) (1  x )n  1  nx  x  x .....  ( x )r ...... 2! 3! r! U D YG General term : Tr 1  ST (a) Replace n by 1 in (iii) : (1  x )1  1  x  x 2 .....  x r ...... , General term, Tr 1  x r (b) Replace n by 1 in (iv) : (1  x )1  1  x  x 2  x 3 .....  ( x )r ...... , General term, Tr 1  ( x ). r (c) Replace n by 2 in (iii) : (1  x )2  1  2 x  3 x 2 .....  (r  1)x r ..... , General term, Tr 1  (r  1)x. r (d) Replace n by 2 in (iv) : (1  x )2  1  2 x  3 x 2  4 x 3 ......  (r  1)( x )r ..... General term, Tr 1  (r  1) ( x )r. (e) Replace n by 3 in (iii) : (1  x )  3  1  3 x  6 x 2  10 x 3 .....  General term, Tr 1  (r  1) (r  2) / 2!. x r (r  1) (r  2) r x .......... 2! 254 Binomial Theorem (f) Replace n by 3 in (iv) : (1  x ) 3  1  3 x  6 x 2  10 x 3 .....  General term, Tr 1  (r  1)(r  2) ( x )r 2! To expand (1  2 x ) 1 / 2 as an infinite series, the range of x should be  1 1 (a)   ,   2 2  1 1 (b)   ,   2 2 (c) [2, 2] [AMU 2002] 60 Example: 42 (r  1) (r  2) ( x )r ..... 2! (d) (– 2, 2) 1 1 1  1 1 i.e., if   x  i.e., if x    , . 2 2 2  2 2 (1  2 x ) 1 / 2 can be expanded if | 2 x |  1 i.e., if | x |  Example: 43 If the value of x is so small that x 2 and higher power can be neglected, then equal to 5 (b) 1  x 6 Solution: (b) Given expression can be written as is [Roorkee 1962] (1  x )1 / 2  (1  x ) 2 / 3 1  x  (1  x )1 / 2 = D YG U    1 2 1  1   1  x     x 2 .....    1  x  x 2 ....  2 3 9  8     1 1   1  x  1  x  x 2 .....  2 8   = 1 x  1 x 2 (d) 1  x 3 2 (c) 1  x 3 ID 5 (a) 1  x 6 1  x  3 (1  x ) 2 E3 Solution: (b) 1 1 x x 2 ..... 5 5 12 144  1  x ..... = 1  x , when x 2 , x 3.... are neglected. 3 1 2 6 6 1 x  x ..... 4 16 1 = Example: 44 Solution: (a) If (1  ax )n  1  8 x  24 x 2 ..... then the value of a and n is (a) 2, 4 (b) 2, 3 We know that (1  x )n  1  nx n(n  1)x 2  ..... 1! 2! ST Comparing coefficients of both sides we get, na  8, and Example: 45 n(n  1)a 2  24 on solving, a  2 , b = 4. 2! Coefficient of x r in the expansion of (1  2 x )1 / 2 (a) Solution: (b) (d) 1, 2 n (ax ) n(n  1)(ax )2 n(ax ) n(n  1)(ax )2  ....  ......  1  8 x  24 x 2 ......  1  1! 2! 1! 2! U (1  ax )n  1  (c) 3, 6 (2 r)! (b) (r! ) 2 (2r)! 2 r.(r!)2 [Kurukshetra CEE 2001] (c) (2r)! (r! )2.2 2r (d) (2r)! 2 r.(r  1)!(r  1)! Coefficient of  1  1  1   1        1     2 ....    r  1  r r r 2  2  2   2  (2)r  1.3.5...( 2r  1). (1).(1).2  1.3.5...( 2r  1)  (2r)! xr   r! r! 2r r! r! r!2r Example: 46 The coefficient of x 25 in (1  x  x 2  x 3  x 4 )1 is (a) 25 Solution: (c) Coefficient of x (b) – 25 25 (c) 1 4 1 in (1  x  x  x  x ) 2 3 (d) – 1 Binomial Theorem 255  1 (1  x 5 )  = Coefficient of x 25 in    1  x  1 = Coefficient of x 25 in (1  x 5 )1. (1  x ) = Coefficient of x 25 in [ (1  x 5 )1  x (1  x 5 )1 ] = [1  (x 5 )1  (x 5 )2 ......]  x[1  (x 5 )1  (x 5 )2 ] ......] = Coefficient of x 25 in [1  x 5  x 10  x 15 .....] – Coefficient of x 24 in [1  x 5  x 10  x 15 .....] = 1  0  1. (a) Solution: (c) 1 1 3 . .........  8 8 16 2 5 (b) We know that (1  x )n  1  nx  Here nx   Example: 48 [EAMCET 1990] 2 5 (c) 2 (d) None of these 5 n(n  1) 2 x ......  2! 1 1 1 3 1 n(n  1) 2 1 1 3   x  ,n    1  . , x  ......   1   4 8 8 16 8 4 2 8.16 2  1 / 2  2. 5 If x is so small that its two and higher power can be neglected and (1  2 x )1 / 2 (1  4 x )5 / 2 = 1  kx then k (a) 1 [Rajasthan PET 1993] ID = Solution: (d) 60 1 E3 Example: 47 (b) – 2 (c) 10 (1  2 x )1 / 2 (1  4 x )5 / 2  1  kx (d) 11 U    5 / 2  4 x    5 / 2  7 / 2 (4 x )2 ......   1  kx (1 / 2)  2 x   1 / 2  3 / 2 (2 x )2  ......  1   1  1! 2! 1! 2!     Example: 49 D YG x 10 x    1  kx ; 1  10 x  x  1  kx ; k  11 Higher power can be neglected. Then 1   1  1!   1!   The cube root of 1  3 x  6 x 2  10 x 3 ..... is (a) 1  x  x 2  x 3 .....  Solution: (c) 1 (1  x ) (b) 1  x 3  x 6  x 9 ...... (c) 1  x  x 2  x 3 .... We have (1  3 x  6 x  10 x .....) 2 3 1/3 3 1 / 3 = [(1  x ) ] 3 ; [ (1  x ) (d) None of these   1  3 x  6 x ... ] 2  1  x  x ...  2 Example: 50  1  1  The coefficient of x n in the expansion of    is 1  x  3  x  3 n 1  1 2.3 (b) n 1 3 n 1 1 x   (1  x ) 1 (3  x ) 1 = 3 1 (1  x ) 1 1   (1  x ) (3  x ) 3  ST Solution: (a)  3 n 1  1   (c) 2  n 1    3 3 n 1  1 U (a) Coefficient of x n  1 3 n 1  1 = (d) None of these  1 x x2 x n 1 xn  [1  x  x 2 ..... x n ] 1   2 .....  n 1  n  3 3 3 3 3   1 [3 n 1  1] 3 n 1  1 1 1  n 1 .....( n  1) terms = n 1 . n 3 1 3 3 3 2. 3 n 1 Trick: Put n  1, 2, 3...... and find the coefficients of x , x 2 , x 3...... and comparing with the given option as : Coefficient 3 n 1  1 2. (3 n 1 )  33 1 2.3 3  of x2 is = 1 3 3  1 3 2  1 3 1 = 1 [3 3  1] 13  ; 27 33 3 1 Which is given by option (a) 13. 27 6.1.14 Three / Four Consecutive terms or Coefficients. (1) If consecutive coefficients are given: In this case divide consecutive coefficients pair wise. We get equations and then solve them. 256 Binomial Theorem (2) If consecutive terms are given : In this case divide consecutive terms pair wise i.e. if four Tr Tr 1 Tr  2 consecutive terms be Tr , Tr 1 , Tr  2 , Tr  3 then find  1 ,  2 ,  3 (say) then divide 1 , , Tr 1 Tr  2 Tr 3 by  2 and  2 by  3 and solve. 60 If a1 , a 2 , a 3 , a 4 are the coefficients of any four consecutive terms in the expansion of (1  x)n , then Example: 51 a1 a3   a1  a 2 a 3  a 4 [IIT 1975] a2 a2  a3 (b) a2 1 2 a2  a3 2a 2 a2  a3 2a 3 a2  a3 E3 (a) (c) (d) Let a1 , a 2 , a 3 , a 4 be respectively the coefficients of (r  1) th , (r  2) th , (r  3) th , (r  4 ) th terms in the expansion Solution: (c) of (1  x)n. Then a1  n C r , a 2  n C r 1 , a 3  n C r  2 , a 4  n C r  3. = 6.1.15 Some Important Points. (1) Pascal's Triangle : 1 1 5 Cr  n Cr2 C r2  n C r3 r  1 r  3 2(r  2)   = 2. n 1 n 1 n 1 n 1 n C r 1 n 1 C r3 n = n Cr Cr2  n 1 n n 1 n Cr Cr2 r 1 r3 n Cr 1 Cr 1 2a2  2. n  Cr  2 Cr 1 nCr  2 a2  a3 n 1 2 (x  y )2 1 3 6 10 (x  y )1 1 3 4 n = D YG 1 1 n Cr2 (x  y)0 1 1 n ID n a1 a3 Cr   n  a1  a 2 a 3  a 4 C r  n C r 1 U Now, (x  y)3 1 4 10 (x  y)4 1 5 1 (x  y )5 U Pascal's triangle gives the direct binomial coefficients. Example : (x  y)4  1 x 4  4 x 3 y  6 x 2 y 2  4 xy 3  y 4 ST (2) Method for finding terms free from radical or rational terms in the expansion of (a 1/ p b )  a, b  prime numbers : Find the general term Tr 1  C r (a N 1/q N 1 / p N r ) (b )  Cr a 1/q r N N r p.b r q Putting the values of 0  r  N , when indices of a and b are integers. Note :  Example: 52 Number of irrational terms = Total terms – Number of rational terms. The number of integral terms in the expansion of ( 3  8 5 )256 is (a) 32 Solution: (b) Tr 1  256 C r (b) 33 256 r.3 2 First term = 256 [AIEEE 2003] (c) 34 (d) 35 r.5 8 C 0 3 128 5 0  integer and after eight terms, i.e., 9th term = 256 C 8 3 124.5 1  integer Continuing like this, we get an A.P., 1 st , 9 th....... 257 th ; Tn  a  (n  1) d  257  1  (n  1) 8  n  33 Binomial Theorem 257 Example: 53 The number of irrational terms in the expansion of (a) 97 Solution: (a) Tr 1 100 C r (b) 98  5  2 8 6 100 is (c) 96 (d) 99 100 r r 5 8.2 6 As 2 and 5 are co-prime. Tr 1 will be rational if 100  r is multiple of 8 and r is multiple of 6 also r  0, 6, 12....... 96 ; 100  r  4, 10, 16..... 100......(i) But 100  r is to be multiple of 8. So, 100  r = 0, 8, 16, 24,......96.....(ii) Common terms in (i) and (ii) are 16, 40, 64, 88. 60 0  r  100 ST U D YG U ID *** E3  r = 84, 60, 36, 12 give rational terms  The number of irrational terms = 101 – 4 = 97. 276 60 276 Mathematical Induction 6.2.1 First Principle of Mathematical Induction. E3 The proof of proposition by mathematical induction consists of the following three steps : Step I : (Verification step) : Actual verification of the proposition for the starting value “i” Step II : (Induction step) : Assuming the proposition to be true for “k”, k  i and proving that it is true for the value (k + 1) which is next higher integer. ID Step III : (Generalization step) : To combine the above two steps Let p(n) be a statement involving the natural number n such that (i) p(1) is true i.e. p(n) is true for n = 1. U (ii) p(m + 1) is true, whenever p(m) is true i.e. p(m) is true  p(m + 1) is true. Then p(n) is true for all natural numbers n. D YG 6.2.2 Second Principle of Mathematical Induction. The proof of proposition by mathematical induction consists of following steps : Step I : (Verification step) : Actual verification of the proposition for the starting value i and (i + 1). Step II : (Induction step) : Assuming the proposition to be true for k – 1 and k and then proving that it is true for the value k + 1; k  i + 1. Step III : (Generalization step) : Combining the above two steps. Let p(n) be a statement involving the natural number n such that U (i) p(1) is true i.e. p(n) is true for n = 1 and (ii) p(m + 1) is true, whenever p(n) is true for all n, where i  n  m ST Then p(n) is true for all natural numbers. For a  b, The expression a n  b n is divisible by (a) a + b if n is even. (b) a – b is n if odd or even. 6.2.3 Some Formulae based on Principle of Induction. For any natural number n n(n  1) 2 n(n  1)(2n  1) n 2  1 2  2 2  3 2 .......  n 2  6 (i)   n  1  2  3 .......  n  (iii) n 3  1 3  2 3  3 3 ......  n 3  n 2 (n  1) 2  4 (ii)  n  2 Mathematical Induction 277 n Example: 1  n 1  The smallest positive integer n, for which n !    hold is  2  (a) 1 Solution: (b) (b) 2 n 1 Let P(n) : n !    2  (c) 3 (d) 4 n 2  2  2.25 which is true. Therefore, P(2) is true. k 2 P(k  1) : (k  1) !     2  k 2     k 1  (k  1)k 1 k 1 (k  1)k 1  k 1   k !    (k  1)k !  2k  2  k …..(i) 2k 1    2  1    k 1 (k  1)k 1  k  2    2k  2  and k 1 k 1  2  1  (k  1) 2 U  1   1  1  k 1 C 2   ......  2 k 1 Which is true, hence (ii) is true. …..(ii) 2 1  1   k 1 C 2   ........  2 k 1 k 1 ID  (k  1)! k 1 k E3  k 1  Step II : Assume that P(k) is true, then p(k) : k !     2  Step III : For n = k + 1, 60 9  2 1  2 !    2 4  2   Step I : For n = 2 k 1 k 1 (k  1)k 1  k  2  k 2  (k  1)!     2 2k  2    Hence P(k  1) is true. Hence by the principle of mathematical induction P(n) is true for all n  N D YG From (i) and (ii), (k  1)! Trick : By check option 1 2 1 1  (a) For n = 1, 1 !     1  1 which is wrong  2  9 3 (b) For n = 2, 2 !     2  which is correct 4 2   3  3 1  (c) For n = 3, 3 !     6 < 8 which is correct  2  4 4 U  4 1  5 (d) For n = 4, 4 !     24     24 < 39.0625 which is correct. 2   2 But smallest positive integer n is 2. Example: 2 Let S (k )  1  3  5 .......  (2k  1)  3  k 2. Then which of the following is true. [AIEEE 2004] ST (a) Principle of mathematical induction can be used to prove the formula (b) S (k )  S (k  1) (c) S (k )   S (k  1) (d) S(1) is correct Solution: (c) We have S (k )  1  3  5 ......  (2k  1)  3  k 2 , S (1)  1  4 , Which is not true and S (2)  3  7 , Which is not true. Hence induction cannot be applied and S (k )   S (k  1) Example: 3 When P is a natural number, then P n 1  (P  1) 2n 1 is divisible by Solution: (c) (a) P (b) P  P (c) P  P  1 n 1 2 n 1 2 1 2  (P  1)  P  (P  1)  P  P  1 , For n =1, we get, P 2 [IIT 1994] (d) P  1 2 2 Which is divisible by P 2  P  1 , so result is true for n =1 Let us assume that the given result is true for n  m  N i.e. P m 1  (P  1) 2m 1 is divisible by P 2  P  1 i.e. P m 1  (P  1) 2m 1  k (P 2  P  1)  k  N Now, P (m 1)1  (P  1) 2(m 1)1 P m 2  (P  1) 2 m 1 P m 2  (P  1) (P  1) 2 2 m 1 …..(i) 278 Mathematical Induction  P m  2  (P  1) 2 [k (P 2  P  1)  P m 1 ] P m 2 by using (i)  (P  1)  k (P  P  1)  (P  1) (P) 2 2 2 m 1 P m 1 [P  (P  1) 2 ]  (P  1) 2  k (P 2  P  1)  P m 1 [P  P 2  2 P  1]  (P  1)2  k (P 2  P  1)   P m 1 [P 2  P  1]  (P  1)2  k (P 2  P  1)  (P 2  P  1)[k  (P  1) 2  P m 1 ] Which is divisible by P 2  P  1. Given result is true for all n  N Given Un 1  3 Un  2Un 1 and U0  2 , U1  3 , the value of Un for all n  N is (a) 2n  1 Solution: (b)  Un1  3 Un  2 Un1 (b) 2n  1 (c) 0 …..(i) Step I : Given U1  3 For n =1, U11  3 U1  2 U0 , U2  3.3  2.2  5 ID Option (b) Un  2n  1 (d) None of these E3 Example: 4 60 Which is divisible by p 2  p  1 , so the result is true for n  m  1. Therefore, the given result is true for all n  N by induction. Trick : For n = 2, we get, P n 1  (P  1) 2n 1  P 3  (P  1)3  P 3  P 3  1  3 P 2  3 P  2 P 3  3 P 2  3 P  1 For n = 1, U1  21  1  3 which is true. For n = 2, U2  2 2  1  5 which is true Therefore, the result is true for n = 1 and n = 2 Then Uk  2 k  1 U Step II : Assume it is true for n = k then it is also true for n = k – 1 …..(ii) and Uk 1  2k 1  1 …..(iii) Step III : Putting n = k in (i), we get D YG U k 1  3 U k  2 U k 1  3[2 k  1]  2[2 k 1  1]  3.2 k  3  2.2 k 1  2  3.2 k  1  2.2 k 1  3. 2 k  2 k  1  2. 2 k  1  2 k 1  1  U k 1  2 k 1  1 This shows that the result is true for n  k  1 , by the principle of mathematical induction the result is true for all n  N. 6.2.4 Divisibility Problems. To show that an expression is divisible by an integer U (i) If a, p, n, r are positive integers, then first of all we write a pn r  a pn. ar  (a p )n. ar. (ii) If we have to show that the given expression is divisible by c.S ST Then express, a p  [1  (a p  1] , if some power of (a p  1) has c as a factor. a p  [2  (a p  2)] , if some power of (a p  2) has c as a factor. a p  [K  (a p  K)], if some power of (a p  K) has c as a factor. Example: 5 (1  x )n  nx  1 is divisible by (where n  N ) (a) 2 x Solution: (b) (b) x 2 (c) 2 x 3 (d) All of these n (n  1) 2 n(n  1)(n  2) 3  n(n  1) n(n  1)(n  3)   x .....  (1  x )n  1  nx  x  x .....  (1  x )n  nx  1  x 2  2 ! 3 ! 2! 3!   From above it is clear that (1  x )n  nx  1 is divisible by x 2. Trick : (1  x )n  nx  1. Put n  2 and x  3 ; Then 4 2  2.3  1  9 Is not divisible by 6, 54 but divisible by 9. Which is given by option (c) = x 2  9. Example: 6 The greatest integer which divides the number 101 100  1 is Mathematical Induction 279 (a) 100 Solution: (c) (1  100 )100  1  100. 100  (b) 1000 (c) 10000 (d) 100000 100.99  100.99 100.99. 98   100 .....  (100 ) 2 ....  101 100  1  100. 100 1  1.2 3.2.1 1.2   From above it is clear that, 101 100  1 is divisible by (100 )2  10000 ST U D YG U ID E3 60 ***

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