Such formula by which any power of a binomial expression can be expanded in the form of a series is known as binomial theorem.

Size: px
Start display at page:

Download "Such formula by which any power of a binomial expression can be expanded in the form of a series is known as binomial theorem."

Transcription

1 Introduction To Binomial Theorem A Binomial Expression Any algebraic expression consisting of only two terms is known as a binomial expression. It's expansion in power of x is shown as the binomial expansion. For example: (i) a + x (ii) a 2 + 1/x 2 (iii) 4x - 6y Binomial Theorem Such formula by which any power of a binomial expression can be expanded in the form of a series is known as binomial theorem. It can be easily understood by examples. (a + x) 2 = a 2 + 2ax + x 2 (a + x) 2 = a 3 + 3a 2 x + 3ax 2 + x 3 Here, we see that the expression of (a + x) 2 is simple, we just multiply (a + x) by (a + x). Expansion of (a + x) 3 is little tougher, but what happens when the expansion is raised to the power of ten or more? So, we have to establish the formula for (a + x) n, where n is any integer. Let us define 'a' as the first term, 'x' as the second term and 'n' as the exponent. The total terms in the expansion of (a + x) 2 and (a + x) 3 are 3 and 4 respectively, which means that the number of terms in the expansion is one more than the exponent. So total number of terms in the expansion (a + x) n is (n + 1). Now, for n = 2 (a + x) 2 = a 2 x 0 + 2a 1 x 1 /1 + (2(2-1)/1*2)a 0 x 2 = (F.T.) n (S.T.) 0 + n/1! (F.T.) (n-1) (S.T.) 1 + (n(n-1)/2!) (F.T.) (n-2) (S.T.) 2 = a 2 + 2ax + x 2 Note: F.T. refers to first term i.e. 'a' and S.T. refers to second term i.e. 'x' Similarly, (a + x) 3 = a 3 + 3a 2 x + ((3(3-1)/(1*2))a 0 x 2 + ((3(3-1)(3-2))/(1*2*3))x 3 = a 3 + 3a 2 x + 3ax 2 + x 3 When n is a positive integer, then

2 (a + x) n = n C 0 a n + n C 1 a n-1 x + n C 2 a n-2 x n C r a n-r x r n C n x n, Where n C 0. n C 1. n C 2... n C n are called Binomial coefficients. Introduction To Binomial Theorem Proof of Binomial Theorem Proof of Binomial Theorem is very simple; we can prove it by using the mathematical induction. Proof: Step I: Let n = 1 L.H.S. = a + x R.H.S. = a + 1 C 1 x = a + x So, theorem is true for n = 1. Step II: Let the theorem be true for n = m, than P(m) : (a + x) m = m C 0 a m + m C 1 a m-1 x 1 + m C 2 a m m C m x m (i) Step III: We have to prove for n = m + 1 i.e. we have to prove that P(m + 1): (a + x) m+1 = m+1 C 0 a m+1 + m+1 C 1 a m x m+1 C m a x m + m+1 C m+1 x m+1...(ii) Multiplying by (a + x) on both sides in equation (i), we get, (a + x) m+1 = ( m C 0 a m+1 + m C 1 a m m C m-1 a 2 x m-1 + m C m a x m ) = ( m C 0 a m x + m C m 1 C 0 ) a m x m C m-1 a x m + m C m x m+1 ) Or, (a+x) m+1 = m C 0 a m+1 + ( m C 1 + m C 0 ) a m x ( m C m-1 + m C m-2 ) a 2 x m-1

3 + ( m C m + m C m-1 ) a x m + m C m x m+1 = m+1 C 0 a m+1 + m+1 C 1 a m x + m+1 C 2 a m-1 x m+1 C m-1 a 2 x m-1 + m+1 C m a x m + m+1 C m+1 x m+1. Hence, Proved. Expand (x + 1/x) 7. (x + 1/x)7 = 7 C 0 x C 1 x 6 (1/x) + 7 C 2 x 5 (1/x 2 ) + 7 C 3 x 4 + 1/x C 4 x 4 (1/x 3 ) + 7 C 5 x 2 + (1/x 5 ) + 7 C 6 x (1/x 6 ) + 7 C 7 (1/x 7 ) = x 7 + 7x x 3 + (35 x) + (35/x )+( 21/x 3 ) + (7/x 5 )+ (1/x 7 ). Properties Of Binomial Expansion 1. There are (n + 1) terms in the expansion of (a + b) n, the first and the last term being a n and b n respectively. If n C x = n C y, then either x = y or x + y = n => n C r = n C n-r = n!/r!(n-r)!. 2. The general term in the expansion of (a + x) n is (r + 1) th term given as T r+1 = n C r a n-r + x r. Similarly the general term in the expansion of (x + a) n is given as T r+1 = n C r x n-r a r. The terms are considered from the beginning. 3. The binomial coefficient in the expansion of (a + x) n which are equidistant from the beginning and the end are equal i.e. n C r = n C n-r.

4 Note: Here we are using n C r + n C r-1 = n+1 C r this concept will be discussed later in this chapter. Also, we have replace m C 0 by m+1 C 0 because numerical value of both is same i.e. 1. Similarly we replace m C m by m+1 C m+1. Find the expansion of (a-x) n. We know that (a + x) n = a n + na (n-1) x + (n(n-1)/2!) a (n-2) x x n. putting x = -x in the above expansion, we get, (a-x) n = [a + (-x)] n = a n + na (n-1) (-x) + (n(n-1)/2!) a (n-2) (-x) (-x) n. = a n - na (n-1) x + (n(n-1)/2!) a (n-2) x (-1) n x n. Find the value of (a+ (a 2-1)) 7 +(a- (a 2-1)) 7. Here, we have to find the sum of two expansions whose terms are numerically the same, but in the second expansion the second, fourth, sixth and eight terms are negative, and therefore cancel the corresponding terms of the first expansion. Hence, the given expression = 2 {a a 5 (a 2-1)+ 35 a 3 (a 2-1) 2 + 7a (a 2-1) 3 } = 2a (64 a a a 2-7)

5 Binomial Coefficients We know that, (a + x) n = n C 0 a n + n C 1 a n-1 x + n C 2 a n-2 x n C n x n... (i) Let us write equation (i) in particular form by putting a = 1. Now it becomes, (1 + x) n = n C 0 + n C 1 x + n C 2 x n C r x r n C n x n... (ii) Coefficients attached with different powers of x are called Binomial Coefficients. Now, again put a = 1 in the expression (a + x) n = a n + n a n-1 x + (n(n-1))/2! a n-2 x 2 + (n(n-1)(n-2))/3! a n-3 x (n(n-1)(n-2)...(n-r+1))/r! a n-r x r x n we get, x n (1+x) n = 1 + nx + (n(n-1))/2! x (n(n-1)(n-2)...(n-r+1))/r! x r (iii) If we compare coefficient of x r in expansions (ii) and (iii), we have, n C r = (n(n-1)(n-2)...(n-r+1))/r! = n!/r!(n-r)! What does it mean when we compare two expansions? Since expansion (ii) is valid for any value of x, we can replace x by 1/x, (x 0) in

6 it, we get, (1 + (1/x)) n = n C 0 + n C 1 1/x + n C 2 1/x n C r 1/x r n C n 1/x n Multiplying both sides by x n, it becomes, (1+x) n = n C 0 x n + n C 1 x n n C r x n-r n C n... (iv) Compare expansion (ii) and (iv). It will give us, that n C r = n C n-r, this is a beautiful result, which says that in the expansion of the equations of the like of (ii) the r th coefficient from the beginning is equal to the r th coefficient from the end. Sum Of Binomial Coefficients Putting x = 1 in the expansion (1+x) n = n C 0 + n C 1 x + n C 2 x n C x x n, we get, 2 n = n C 0 + n C 1 x + n C n C n. We kept x = 1, and got the desired result i.e. n r=0 C r = 2 n. Note: This one is very simple illustration of how we put some value of x and get the solution of the problem. It is very important how judiciously you exploit this property of binomial expansion. Find the value of C 0 + C 2 + C in the expansion of (1+x) n. We have, (1 + x) n = n C 0 + n C 1 x + n C 2 x n C n x n. Now put x = -x; (1-x) n = n C 0 - n C 1 x + n C 2 x (-1) n n C n x n. Now, adding both expansions, we get,

7 (1 + x) n + (1-x) n = 2[ n C 0 + n C 2 x 2 + n C 4 x ] Put x = 1 => (2 n +0)/2 = C 0 + C 2 + C or C 0 + C 2 + C = 2 n-1 We have found the sum of binomial coefficients. But if these coefficients are multiplied by some factors can we find the sum for such expressions? Yes, we can often find it by creatively applying what we have learnt. Let us see how differentiation and integration are useful in these situations. Suppose we want to calculate the value of n r=0 C r i.e. 0.C C 1 + 2C n n C n If we take a close look to the sum to be found, we find that coefficients are multiplied with respective powers of x. If we want to multiply the coefficient of x by its power differentiation is of help. Hence differentiate both sides of (1 + x) n = n C 0 + n C 1 x + n C 2 x 2 + n C 3 x n C n x n, with respect to x we get n(1 + x) n-1 = 1 C 1 x C 2 x n C n x n-1 Put x = 1, we get, n 2 n-1 = + 1 C C n C n. Or, n r=0 r C r = n 2 n-1, which is the answer. Now, think how to find the following sum C 0 /1 + C 1 /2 + C 2 / C n /n+1 =? In this sum coefficients are divided by the respective power of x + 1. This expression can be achieved by Integrating the expansion of (1 + x) n under proper limits.

8 Important: It has said earlier in this chapter that we should use and exploit the property that x can take any value in the expansion of (1 + x) n. Now, let us try to find the value of C 0 - C 2 + C 4 -C Analysing the above, expression, we find that C 0, C 2, C 4 are all coefficients of even powers of x. Had it been like C 0 + C 2 + C we could have evaluated simply by the method described earlier or had it been like C 0 -C 1 + C 2 -C we could have put x = -1 in the expansion of (1 + x) n and find the sum. But here the case is different. The expression consists of coefficients of only even powers. In such cases when there is alternative sign charge for the coefficient, of same nature of powers (even or odd) use of I (iota) comes to our rescue. (1 + x) n = C 0 + C 1 x + C 2 x (1 - x) n = C 0 - C 1 x + C 2 x By adding (1 + x) n + (1 - x) n = 2[C 0 + C 2 x 2 + C 4 x ]. Clearly use of -1 (iota) will generate the given expression. ((1+i) n + (1-i) n )/2 ] [C 0 - C 2 + C ] Coefficient Of A Particular Term

9 In the expression of (a + x) n, the coefficient of second term is n C 1, of the third term is n C 2, of he fourth term is n C 3 and so on. The suffix in each term being one less than the number of the term to which it applies; hence n C r is the coefficient of the (r+1) th term. This is called the General Term, because by giving different numerical values to r any of the coefficients may be found. Also, the indices of a and x in the (r + 1) th term are expressable in terms of r. Thus, General term of the expansion (a + x) n is dented as T r+1 = n C r a n-r x r = ((n(n-1)(n-2)...(n-r+1))/r!) a n-r x r. Note :General term is useful in finding the following in Binomial expression. (a) (b) Particular term. Middle term (c) Term independent of x. (d) Term containing the greatest coefficient of x. Find the fifth term in the expansion of (a + 2x 3 ) 17. General term of the expansion (a + x) n is T r+1 = n C r a n-r x r. Now, for the given expression, required term is T 5 = 17 C 4 a 13 (2x 3 ) 4. = a 13 x 12. Find the term independent of x in (1 + x + 2x 3 ) ((3/2)x 2 - (1/3x)) 9. We want to find the term independent of x in product of (1 + x + 2x 3 ) and

10 ((3/2)x 2 - (1/3x)) 9. So, we should find the terms containing x 0, x -1 and x -3 in the expansion ((3/2)x 2 - (1/3x)) 9 and multiply them respectively with the appropriate term from (1 + x + 2x 3 ) i.e. constant term i.e. 1, term containing x i.e. 1 and the term containing x 3 i.e. 2. Now, T r+1 = n C r a n-r x r [this is general term in (a+x) n ] = 9 C r ((3/2)x 2 ) 9-r (-(1/3x)) r This is general term in [((3/2)x 2 - (1/3x)) 9 ] (i) to find the term containing x 0 we use 18-3r = 0, i.e. r = 6 so coefficient of x 0 we use (-1) 6 9 C = 9 C 6 (1/ ). (ii) to find the term containing x -1 we use 18-3r = -1 i.e. r = 19/3 ( I) which is impossible. (iii) to find the term containing x -3 we put 18-3r = -3 i.e. r = 7. So, coefficient of x -3 in ((3/2)x 2 - (1/3x)) 9 = (-1) 7 9 C = - 9 C 7 (1/ ). Therefore, required coefficient = 9 C 6 (1/ ) C 7 (1/ ) = 17/54. Find the coefficient of x 24 in (x 2 +3a/x) 15. The general term ((r + 1)th term) is (x 2 +3a/x) 15 = 15 C r (x 2 ) 15-r (3a/x) r = 15 C r x 30-2r (3 r a r /x r ) = 15 C r 3 r a r x 30-3r If this term contains x 24, then 30-3r = 24 => 3r = 6 => r = 2. Therefore, the coefficient of x 24 = 15 C 2 9a 2. If the binomial co-efficient of the (2r + 4) th term and the (r - 2) th term in the expansion of (1 + x) 18 are equal, find the value r. The coefficient of (2r + 4) th term in (1 + x) 18 = 18 C 2r+3 and the coefficient of (r-

11 2) th term = 18 C r-3, so that 18 C 2r+3 = 18 C r-3. Either 2r + 3 = r - 3, => r = -6, Or 2r r - 3 = 18 => 3r = 18 => r = 6. (Since r ε N) If the 4 th term in the expansion (px + 1/x) n is independent of x, find the value of n. Also calculate p if the 4 th term is 5/2. Here T 4 = T 3+1 = n C 3 (px) 3 (1/x) n-3 = n C 3 p 3 x 6-n. T 4 is independent of x => 6 - n = 0 or n = 6. Now given T 4 = 5/2 => 6 C 3. p 3 = 5/2 => p 3 = 5/2. = 1/8 => p = 1/2. If the expansion of (1 + x) 43 the coefficient of (2r + 1) th term is equal to the coefficient of (r + 2) th term find r. Given in the expansion of (1 + x) 43 the coefficient of (2r + 1) th term = the coefficient of (r + 1) th term. 43 C 2r = 43 C r+1. Either 2r = r + 1 => r = 1, or 2r + r + 1 = 43 => r = 14. Hence r =1, 14 Find the coefficient of x 3 in the expansion of (1 + x + 2x 2 ) (2x 2 - (1/3x)) 9. T r+1 in (2x 2 - (1/3x)) 9 is 9 C r (2x 2 ) 9-r (-1/3x) r = 9 C r 2 9-r (-1/3) r x 18-3r => coefficient of x 3 is 9 C 5.24 (-1/3) 5 = -224/7.

12 Middle Term (i) When n is even Middle term of the expansion is the (n/2 + 1) th term i.e. n C n/2 a n/2 in the expansion of (a + b)n. (ii) When n is odd Middle terms of the expansion are the (n/2 + 1) th term and the ((n+3)/2) th term. These are given by, n C ((n-1)/2) a ((n+1)/2) a ((n-1)/2) and n C ((n+1)/2) a ((n-1)/2) a ((n+1)/2) expansion of (a + b)n. in the e.g. middle term in the expansion of (1+x) 4 and (1+x) 5. Expansion of (1+x) 4 have 5 terms, so third term is the middle term which is the ((4/2)+1) th term. Expansion of (1+x) 5 have 6 terms, so 3 rd and 4 th both are the middle terms, which are the ((5+1)/2) th and ((5+3)/2) th terms. Note: * r th term from the end = (n - r + 2) th term from the beginning. * If there are two middle terms, then the binomial co-efficients of two middle terms will be equal and those two co-efficients will be greatest. Find the middle term in the expansion of (1-2x + x 2 ) n. We have (1-2x + x 2 ) n = [(1 -x) 2 ] n = (1 - x) 2n. Here 2n is an even integer =>((2n/2) + 1) th i.e. (n+1) th term will be the middle term. Now (n+1) th term in (1-x) 2n = 2n C n (1) 2n-n (-x) n = 2n C n (-x) n = (2n)!/n!n! (-x) n. Greatest Binomial Coefficient

13 To determine the greatest coefficient in the binomial expansion, (1+x) n, when n is a positive integer. Coefficient of (Tr+1/Tr) = Cr/Cr-1 = (n-r+1)/r = ((n+1)/r) - 1. Now the (r+1) th binomial coefficient will be greater than the rth binomial coefficient when, T r+1 > T r => ((n+1)/r)-1 > 1 => (n+1)/2 >r.... (1) But r must be an integer, and therefore when n is even, the greatest binomial coefficient is given by the greatest value of r, consistent with (1) i.e., r = n/2 and hence the greatest binomial coefficient is n C n/2. Similarly in n be odd, the greatest binomial coefficient is given when, r = (n-1)/2 or (n+1)/2 and the coefficient itself will be n C (n+1)/2 or n C (n-1)/2, both being are equal Note: The greatest binomial coefficient is the binomial coefficient of the middle term. Show that the greatest the coefficient in the expansion of (x + 1/x) 2n is ( (2n-1).2 n )/n!. Since middle term has the greatest coefficient. So, greatest coefficient = coefficient of middle term = 2n C n = ( n )/n!n! = ( (2n-1).2 n )/n!. Numerically greatest term To determine the numerically greatest term in the expansion of (a + x) n, where n is a positive integer.

14 Consider Thus Note : {((n+1)/r) - 1} must be positive since n > r. Thus T r+1 will be the greatest term if, r has the greatest value as per the equation (1). Find the greatest term in the expansion of (3-2x) 9 when x = 1. T r+1 /T r = ((9-r+1)/r). (2x/3) >1 i.e. 20 > 5r If r = 4, then T r+1 = T r and these are the greatest terms. Thus 4 th and 5 th terms are numerically equal and greater than any other term and their value is equal C 3 (2/3) 3 = Find the greatest term in the expansion of (2 + 3x) 9 if x = 3/2. Here T r+1 /T r = ((n-r+1)/r)(3x/2) = ((10-r)/r)(3x/2), (where x = 3/2) = ((10-r)/r)(3x/2)(3/2) = ((10-r)/r).9/4 = (90-9r)/4r Therefore T r+1 > T r, if 90-9r > 4r.

15 => 90 > 13r => r < 90/13 and r being an integer, r = 6. Hence T r+1 = T 7 = T 6+1 = 9 C 6 (2) 3 (3x) 6 = /2. Given that the 4 th term in the expansion of (2 + (3/8)x) 10 has the maximum numerical value, find the range of values of x for which this will be true. Given 4 th term in (2 + (3/8)x) 10 = 2 10 (1 + (3/16)x) 10, is numerically greatest => T4/T3 > 1 and T5/T4 < 1 => => x > 2 and x < 64/21 => x ε [-(64/21),-2]U[2,(64/21)]. Find the greatest term in the expansion of 3(1 + (1/ 3)) 20. Let r th term be the greatest Since T r /T r+1 = (r/(21-r)). 3. Now T r /T r+1 > 1 => r > 21/( 3+1)... (1) Now again T r /T r+1 = (r/(21-r)) 3 < 1 => r < (22+ 3)/( 3+1)... (2) from (1) and (2) 22/( 3+1) < r < (22+ 3)/( 3+1) => r = 8 is the greatest term and its value is C 7 (1/ 3) 7 = 20 C 7 (1/27).

16 Particular Cases We have (a + x) n = a n + n C 1 a n-1 x + n C 2 a n-2 x r x n.... (1) (i) Putting x = -x in (1), we get (a-x) n = a n - n C 1 a n-1 x + n C 2 a n-2 x 2 - n C 2 a n-3 x (-1) r n C r a n-r x r (-1) n x n. (ii) Putting a = 1 in (1), we get, (1+x) n = n C 0 + n C 1 x + n C 2 x n C r x r n C n x n.... (A) (iii) Putting a = 1, x = -x in (1), we get (1-x) n = n C 0 - n C 1 x + n C 2 x 2 - n C 3 x (-1) r n C r x r +... (-1) n nc n x n... (B) Tips to Remember (a) T r /T r+1 = ((n-r+1)/r ).(x/a) for the binomial expansion of (a + x) n. (b) (n+1) C r = n C r + n C r-1. (c) r n C r = n n-1 C r-1 (d) (e) When n is even, (x + a) n + (x - a) n = 2(x n + n C 2 x n-2 a 2 + n C 4 x n-4 a n C n a n ). When n is odd, (x + a) n + (x - a) n = 2(x n + n C 2 x n-2 a n C n-1 x a n-1 ). When n is even (x + a) n - (x - a) n = 2( n C 1 x n-1 a + n C 3 x n-3 a n C n-1 x a n-1 ). When n is odd (x + a) n - (x - a) n = 2( n C 1 x n-1 a + n C 3 x n-3 a n C n a n ). Properties of Binomial Coefficients

17 For the sake of convenience, the coefficients n C o, n C 1,..., n C r,..., n C n are usually denoted by C o, C 1,..., C r,..., C n respectively Put x = 1 in (A) and get, 2n = C o + C C n... (D) Also putting x = -1 in (A) we get, 0 = C o - C 1 + C 2 - C => C 0 + C 2 + C C 1 + C 3 + C = 2 n. Hence C o + C 2 + C = C 1 + C 3 + C = 2 n-1. If (1 + x) n = C 0 + C 1 x + C 2 x C n x n, then prove that C 0 + (C o + C 1 ) + (C 0 + C 1 + C 2 ) +... (C 0 + C 1 + C C n-1 ) = n2 n-1 (where n is an even integer. C 0 + (C 0 + C 1 ) + (C 0 + C 1 + C 2 ) +... (C 0 + C 1 + C C n-1 ) = C 0 +(C 0 + C 1 + C C n-1 )+(C 0 + C 1 )+(C 0 + C 1 + C C n-2 )+... = (C 0 + C 1 + C C n )+ (C 0 + C 1 + C C n )+... n/2 times = (n/2)2 n = n. 2 n-1 Some Important Results 1. Differentiating (1+x) n = C 0 + C 1 x + C 2 x C n x n of both sides we have, n(1 + x) n-1 = C 1 + 2C 2 x + 3C 3 x n C n x n (E) Put x = 1 in (E) so that n2 n+1 = C 1 + 2C 2 + 3C nc n. Put x = -1 in (E) so that 0 = C 1-2C (-1) n-1 n C n. Differentiating (E) again and again we will have different results. 2. Integrating (1 + x) n, we have, ((1+x) n+1 )/(n+1) + C = C 0 x + C 1 x 2 /2 + C 2 x 3 / C n x n+1 /(n+1) is a constant) (where C

18 For x = 0, we get C = -1/(n+1). (F) Therefore ((1+x) n+1-1)/(n+1) = C 0 x + C 1 x 2 /2 + C 2 x 3 / C n x n+1 /(n+1)... Put x = 1 in (F) and get (2 n+1-1)/n+1= C 0 + C 1 /2 +...C n /n+1. Put x = -1 in (F) and get, 1/n+1 = C0 - C 1 /2 + C 2 / C n. Put x = 2 in (F) and get, (3 n+1-1)/n+1 = 2 C /2 C /3 C n+1 /n+1 = Problems Related to Series of Binomial Coefficients in Which Each Term is a Product of an Integer and a Binomial Coefficient, i.e. In the Form k. n C r. If (1+x)n = x r then prove that C 1 + 2C 2 + 3C nc n = n2 n-1. Method (i) : r th term of the given series r th term of the given series, t r = nc r => t r = r n/r n-1 C r-1 = n n-1 C r-1 (because n C r =n/r. n-1 C r-1 ) Sum of the series = Put x = 1 in the expansion of (1 + x) n-1, so that ( n-1 C 0 + n-1 C n-1 C n-1 ) = 2n-1 => = n.2n-1. Method (ii) : By Calculus We have (1 + x) n = C 0 + C 1 x + C 2 x C n x n.... (1) Differentiating (1) w.r.t. x, we get

19 n(1 + x) n-1 = C 1 + 2C 2 x + 3C 3 x n C n x n (2) Putting x = 1 in (2), we have, n 2 n-1 = C 1 + 2C nc n.... (3) If (1+ x) n = x r then prove that C C C (n+1)c n = 2n-1 (n+2). Method (i): r th term of the given series rth term of the given series t r = n C r-1 = [(r-1) + 1]. n C r-1 = (r-1) n C r-1 + n C r-1 = n. n-1 C r-2 + n C r-1 (because n C r-1 =n/(r-1). n-1 C r-2 ) Sum of the series = = n[ n-1 C 0 + n-1 C n-1 C n-1 ]+[ n C 0 + n C n C n ] = n.2 n-1 + 2n = 2 n-1 (n+2). Method (ii) by Calculus. We have (1 + x) n = C 0 + C 1 x + C 2 x C n x n.... (1) Multiplying (1) with x, we get x(1+x) n = C 0 x + C 1 x 2 + C 2 x C n x n (2) Differentiating (2) w.r.t. x, we have (1 + x) n + n(1 + x) n-1 x = C 0 x + 2C 1 x (n+1)c n x n... (3) Putting x = 1 in (3), we get 2n + n.2 n-1 = C 0 + 2C 1 + 3C (n+1)c n => C 0 + 2C 1 + 3C (n+1)c n = 2 n-1 (n+2).

20 Problems Related to Series of Binomial Coefficient in Which Each Term is Binomial Coefficient divided by an Integer, i.e. in the Form of n C r /k. If (1+x) n = Method (i) : r th term of the given series Method (ii): By Calculus (1+x) n = C 0 + C 1 x + C 2 x C n x n... (1) Integrating both the sides of (1) w.r.t. x between the limits 0 to x, we get... (2) Substituting x = 1 in (2), we get 2 n+1 /n+1 = C 0 + c 1 /2 + c 2 / c n/n+1. If (1+x)n = x r,show that Method I : r th term of the given series T r =

21 Method II : (By Calculus) (1 + x) n = C 0 + C 1 x + C 2 x C n x n => x(1+x) n = C 0 x + C 1 x 2 + C 2 x C n x n+1... (1) Integrating both the sides of (1) with respect to x Put x = 0, => k = 1/((n+1)(n+2)) Put x = 1, Problem Related to Series of Binomial Coefficients in Which Each Term is a Product of two Binomial Coefficients.. (a) If sum of lower suffices of binomial expansion in each term is the same i.e. n C 0 n C n + n C 1 n C n-1 + n C n n C n n C 0 i.e. 0 + n = 1 + (n-1) = 2 + (n-2) = n + 0. Then the series represents the coefficients of xn in the multiplication of the following two series

22 (1+x) n = C 0 + C 1 x + C 2 x C n x n and (1+x) n = C 0 + C 1 x + C 2 x C n x n. Prove that C 0 C r + C 1 C r+1 + C 2 C r C n-r C n = (2n)!/((n-r)!(n+r)!). We have, C 0 + C 1 x + C 2 x C n x n = (1+x) n... (1) Also C 0 x n + C 2 x n C n = (x+1) n... (2) Multiplying (1) and (2), we get (C 0 + C 1 x C n x n )(C 0 x n + C 1 x n-2 + C 2 x n C n ) = (1+x) 2n... (3) Equating coefficient of x n-r from both sides of (3), we get C 0 C r + C 1 C r+1 + C 2 C r C n-r C n = 2 n C n-r = (2n)/((n-r)!(n+r)!). Prove that C 2 o + C C 2 n = (2n)!/n!n!. Since (1 + x) n = C 0 + C 1 x + C 2 x C n x n,... (1) (x + 1) n = C 0 x n + C 1 x n C n,... (2) (C 0 + C 1 x + C 2 x C n x n )(C 0 x n + C 1 x n-1 + C 2 x n C n )=(1+x) 2n. Equating coefficient of x n, we get C C C C 2 n = 2n C n = (2n)!/n!n!.

23 If (1+x) n =, then prove that m C r n C 0 + m C r-1 n C 1 + m C r-2 n C m C 1 n C r-1 + m C 0 n C r = m+n C r where m, n, r are positive integers and r < m and r < n. (1+x) n = n C 0 + n C 1 x + n C 2 x n C r x r n C n x n... (1) and also (1+x) m = m C 0 + m C 1 x + m C 2 x m C r x r m C m x m... (2) Multiplying (1) and (2), we get ( n C 0 + n C 1 x + n C 2 x n C r x r n C n x n )x ( m C 0 + m C 1 x + m C 2 x m C r x r m C m x m ) = (1+x) m+n = m+n C 0 + m+2 C 1 x + m+n C 2 x m+n C r x r m+n C m+n x m+n Equating the coefficient of x r, we get m C r n C 0 + m C r-1 n C 1 + m C r-2 n C m C 1 n C r-1 + m C 0 n C r = m+n C r (b) If one series has constant lower suffices and other has varying lower suffices Prove that n C 0. 2n C n - n C 2n-2 1 C n + n C 2 / 2n-4 C n -...= 2 n. n C 0. 2n C n - n C 2n-2 1 C n + n C 2 / 2n-4 C n -... = coefficient of x n in[ n C 0 (1+x) 2n - n C 1 (1+x) 2n-2 + n C 2 (1+x) 2n ] = coefficient of x n in [ n C 0 ((1+x) 2 ) n - n C 1 ((1+x) 2 ) n-1 + n C 2 ((1+x) 2 ) n ]

24 = coefficient of x n in [(1+x) 2-1] n = coefficient of x n in (2x+x 2 ) n = co-efficient of x n in x n (2+x) n = 2 n. 1. Divisibility problems: Let (1 + x) n = 1 + n C 1 x + n C 2 x n C n x n. In any divisibility problem, we have to identify x and n. The number by which division is to be made can be, x, x 2 or x 3, but the number in the base is always expressed in form of (1+x). Find the remainder when is divided by = 7(50-1) 51 = 7( C C ) = 7( C C 50 50) = 7( C C 50 50) => remainder is Questions involving the greatest integer function. The questions generally involves working with binomial expression on surds. If I is the integral part and f is the fraction part of (2 + 3 ) n then prove that (l + f)(1- f) = 1. Also prove that I is an odd integer. (2 + 3) n, l + f where I is an integer and 0, f < 1. We have to show that I is odd and that (l + f)(1 - f) = 1 Here note that (2 + 3) n (2 + 3) n =(4-3) n = 1..(2 + 3) n (2 + 3) n =1. It is thus required to prove that (2 + 3) n =1-f

25 But, (2 + 3) n + (2 + 3) n = [2 n - C 1.2 n C 2 2 n-2.( 3) ] + [2 n - C 1.2 n C 2 2 n-2.( 3) ] =2[2 n - C 2.2 n C 4 2 n ] = even integer.. Now 0 < (2-3) < < (2-3) n < 1.. If (2-3)n = f' then l + f + f' = Even Now ) < f < 1 and 0 < f' < 1... (1).. f + f' = integer (1) and (2) imply that f + f' = 1(. 0 < f + f' < 2).. I is odd and f' = 1 - f => (I + f)(1 - f) = 1. Binomial expression with non- positive exponent The characteristics discussed hitherto were confined to positive integer n. If n takes any other value, then binomial theorem is written as: Say, we have to find out (x+a) n n I + If a > 1 then it is written as a n (a + (x/a)) n. This is expanded as a n (1+(x/n)) n = a n [1+n(x/a) + (n(n-1)/a) (x/a) 2 + (n(n-1)(n-2))/3! (x/a) ] Since n is not positive integer therefore the series on the right hand side will converge only for x/a < 1. Moreover, there are infinite terms in the expansion contrary to the binomial expansion for a positive integer n. Multinomial Expression If such a case arises, then it is not called Binomial Expansion, it is called Multinomial Expansion. If n ε N, then the general term of the multinomial expansion (x 1 + x 2 + x x k ) n is (n!/a 1!a 2!...a k!) (x 1 a1,x 2 a2,.. x k ak ), where a 1 + a 2 + a a k = n and a < a i < n, I = 1, 2, 3,... k and the total number of terms in the expansion is n+k-1 C n-1.

26 Solved Examples Example 1: Find the coefficient of the independent term of x in expansion of (3x - (2/x 2 )) 15. The general term of (3x - (2/x 2 )) 15 is written, as T r+1 = 15 C r (3x) 15-r (-2/x 2 ) r. It is independent of x if, 15 - r - 2r = 0 => r = 5.. T 6 = 15 C 5 (3) 10 (-2) 5 = - 16 C Example 2: If the coefficient of (2r + 4) th and (r - 2) th terms in the expansion of (1+x) 18 are equal then find the value of r. The general term of (1 + x) n is T r+1 = C r x r Hence coefficient of (2r + 4) th term will be T 2r+4 = T 2r+3+1 = 18 C 2r+3 and coefficient or (r - 2) th term will be T r-2 = T r-3+1 = 18 C r-3. => 18 C 2r+3 = 18 C r-3. => (2r + 3) + (r-3) = 18 (. n C r = n C K => r = k or r + k = n).. r = 6 Example 3: If a 1, a 2, a 3 and a 4 are the coefficients of any four consecutive terms in the expansion of (1+x) n then prove that:

27 a 1 /(a 1 +a 2 ) + a 2 /(a 3 +a 4 ) = 2a 2 /(a 2 +a 3 ) As a 1, a 2, a 3 and a 4 are coefficients of consecutive terms, then Let a 1 = n C r a 2 = n C r+1 a 3 = n C r+2 and a4 = n C r+3 Now a 1 /(a 1 +a 2 ) = n C r /( n C n r+ C r+1 ) = 1/(1+((n-r)/(r+1))) = (r+1)/(n+1) Similarly, a 2 /(a 2 +a 3 ) = (r+3)/(n+1) Now a 3 /(a 3 +a 4 ) + a 1 /(a 1 +a 2 ) = (2r+4)/(n+1) = 2(r+1)/(n+1) = 2a 2 /(a 2 +a 3 ) (Hence, proved) Example 4: Find out which one is larger or Let's try to find out in terms of remaining term i.e = (100+1) 50 - (100-1) 50 = (C C C ) = (C C C ) = 2[C C ] = 2[ C ] = [C ] > => >

28 Example 5: Find the value of the greatest term in the expansion of 3(1+(1/ 3)) 20. Let T r+1 be the greatest term, then T r < T r+1 > T r+2 Consider : T r+1 > T r => 20 C r (1/ 3) r > 20C r-1 (1/ 3) r-1 => ((20)!/(20-r)!r!) (1/( 3) r ) > ((20)!/(21-r)!(r-1)!) (1/( 3) r-1 ) => r < 21/( 3+1) => r < (i) Similarly, considering T r+1 > T r+2 => r > (ii) From (i) and (ii), we get r = 7 Hence greatest term = T 8 = 25840/9 Example 6: Find the coefficient of x 50 in the expansion of (1+x) x(1+x) x 2 (1+x) x Let S = (1 + x) x(1+x) x 999 (1+x) x 1000 This is an Arithmetic Geometric Series with r = x/(1+x) and d = 1. Now (x/(1+x)) S = x(1 + x) x 2 (1 + x) x x 1001 /(1+x) Subtracting we get, (1 - (x/(x+1))) S =(1+x) x(1+x) x x 1000 /(1+x)

29 or S = (1+x) x(1+x) x 2 (1+x) x 1000 (1+x)-1001x 1001 This is G.P. and sum is S = (1+x) x x 1001 So the coeff. of x 50 is = 1002 C 50 Example 7: Show that n C k (sin kx) cos (n-k)x = 2 n-1 sin(nx) We have n C k sin kx cos (n-k)x =1/2 n C k [sin (k x + nx - kx) + sin (kx - nx + kx)] =1/2 n C k sin n x + 1/2 n C k sin (2kx - nx) = 1/2 sin n x n C k 1/2 [ n C 0 sin (-nx) + n C 1 sin (2-n)x n C n-1 sin (n-2)x + n C n sin nx] = 2 n-1 sin nx + 0 (as terms in bracket, which are equidistant, from end and beginning will cancel each other). (Hence, proved) Example 8: If (15+6 6) 2n+1 = P, then prove that P(1 - F) = 9 2n+1 (where F is the fractional part of P). We can write P = (15+6 6) 2n+1 = I + F (Where I is integral and F is the fractional part of P) Let F' = (15+6 6) 2n+1

30 Note: 6 6 = => 0 < < 1 => 0 < (15+6 6) 2n+1 < 1 => 0 < F' < 1 Now, I + F = C 0 (15) 2n+1 + C 1 (15) 2n C 2 (15) 2n (6 6 ) F' = C 0 (15) 2n+1 - C 1 (15) 2n C 2 (15) 2n-1 (6 6 ) I + F + F' = 2[C 0 (15) 2n+1 + C 2 (15) 2n-1 (6 6 ) ] Term on R.H.S. is an even integer. => I + F + F' = Even integer => F + F' = Integer But, 0 < F < 1 and (F is fraction part) 0 < F' < 1 => 0 < F + F' < 2 Hence F + F' = 1 F' = (1-f).. P(1-F) = ( ) 2n+1 ( ) 2n+1 = (9) 2n+1 (Hence, proved) Example 9: Using 1 0 (tx+a-x) n dx,prove that 1 0 x k (1-x) (n-k) dx=[ n C k (n+1)] (-1) The given integral can easily be evaluated, as follows:

31 I = 0 1 (tx+a-x) n dx = 0 1 ((t-1)x+1) n dx = [((t-1)x+1) (n+1) /((n+1)(t-1))] 0 1 =(t (n+1) -1)/(n+1)(t-1)=1/(1+n) [1 + t + t t k t n ]... (i) Also, I = 0 1 (tx+(1-x)) n dx = 0 1 n C k (1-x) (n-k) t k x k dx... (ii) Comparing the coefficient of t k from (i) and (ii), we get, 0 1 n C k. x k (1-x) n-k dx=1/(n+1) => 0 1 x k (1-x) n-k dx = 1/( n C k (n+1)) (Hence, proved) Example 10: Prove that (-3) r-1 3n C 2r-1 = where k = 3n/2 and n is an even positive integer. Since n is even integer, let n = 2m, k = 3n/2 = 6m/2 =3m The summation becomes, S = Now, (1+x) 6m = 6m C 0 + 6m C 1 x + 6m C 2 x m C 6m-1 x 6m-1 + 6m C 6m x 6m... (i) (1-x) 6m = 6m C 0 + 6m C 1 (-x) + 6m C 2 (-x) m C 6m-1 (-x) 6m-1 + 6m C 6m (-x) 6m... (ii) => (1+x) 6m - (1-x) 6m = 2[ 6m C 1 x + 6m C 3 x m C 6m-1 x 6m-2 ]

32 ((1+x) 6m - (1-x) 6m )/2x = 6m C 1 + 6m C 3 x m C 6m-1 x 6m - 2 Let x 2 = y =>((1 + y)6m-(1- y)6m)/2 y= 6m C 1 + 6m C 3 y + 6m C 3 y+... 6m C 6m-1 y 3m-1 With y = -3, RHS becomes = S. LHS = (Hence, proved) Example 11: If k and n are two positive integers and S k = 1 k + 2 k n k Then show that m+ 1 C 1 S 1 + m+ 1 C 2 S m+ 1 C m S m = (1+n) m+1 - (1+n) We have, (1 + p) m+1 = m+1 C 0 + m+1 C 1 p + m+1 C 2 p 2 + m+1 C m+1 p m+1 Putting p = 1, 2, 3,..., n =>2 m+1-1 = m+1 C 0 + m+1 C 1 (1) + m+1 C 2 (1) m+1 C m (1) m 3 m+1-2 m+1 = m+1 C 0 + m+1 C 1 (2) + m+1 C 2 (2) m+1 C m (2) m 4 m+1-3 m+1 = m+1 C 0 + m+1 C 1 (3) + m+1 C 2 (3) m+1 C m (3) m

33 (1+n) m+1 -n m+1 = m+1 C 0 (n) + m+1 C 2 Σn + m+1 C 2 Σ(n) m+1 C m (n) m. Adding all these terms, we get (1+n) m+1-1 = m+1 C 0 (n) + m+1 C 1 S 1 + m+1 C 2 S m+1 C m S m => m+1 C 1 S 1 + m+1 C 2 S m+1 C m S m = (1+n) m+1 - (1+n) (Hence, proved) Example 12: Given that S n = 1 + q + q q n and P n = 1 + ((q+1)/2) + ((q+1)/2) ((q+1)/2) n show that n+1 C 1 + n+1 C 2 S 1 + n+1 C 2 S n+1 C n+1 S n = 2 n p n. Both S n and P n are geometric series S n = 1 + q + q q n = 1-q n-1 /1-q... (i) P n = 1 + ((q+1)/2) + ((q+1)/2) ((q+1)/2) n =(1-((q+1)/2) n+1 )/(1-(q+1)/2)=1/2 n (2 n+1 -(q+1) n+1 )/(1-q)... (ii) n+1 C r+1 S r = n+1 C r+1 ((1-q r+1 )/(1-q)) = n+1 C r+1 ((1/(1-q)) - (q r+1 /(1-q))) = (1/(1-q)) n+1 C r+1 - (1/(1-q)) n+1 C r+1 q r+1 => n+1 C r+1 S r =(1/(1-q)) n+1 C r+1 - (1/(1-q)) n+1 C r+1 q r+1 => n+1 C r+1 S r = 2 n p n (Hence, proved) Example 13: Show that if C r is the coefficient of x r in (1+x) n, then C r 3 = Coefficient of xn yn in the expression of ((1+x)(1+y)(x+y))n

34 (1+x) n = n C 0 + n C 1 x + n C 2 x n C n x n... (1) (1+y) n = n C 0 + n C 1 y + n C 2 y n C n y n... (2) (x+y) n = n C 0 x n + n C 1 x n-1 y + n C 2 x n n C n y n... (3) writing (1+y) n as (y+1) n and expanding it in decreasing powers of y. (y+1) n = n C 0 y n + n C 1 y n-1 + n C 2 y n n C n... (4) multiplying (1), (3) and (4) we get, (1+x) n (y+1) n (x+y) n = ( n C 0 + n C 1 x + n C 2 x n C n x n ) ( n C 0 y n + n C 1 y n n C n ) ( n C 0 x n + n C 1 x n-1 y n C n y n ) Now, coefficient of x n y n in RHS = n C n C n C n 3 C n = coefficient of x n y n in LHS = coefficient of x n y n in {(1+x)(1+y)(x+y)} n (Hence, proved) Example 14: If (1+x) n = C 0 + C 1 x + C 2 x C n x n (nεn) Then show that k 3 [C k /C k-1 ] = 1/12 (n)(n+1) 2 (n+2) C r /C r -1 = (n!/(n-r)!r!) (((r-1)!(n-r+1)!)/n!) = (((n+1)/r)-1) r 3 (C r /C r -1) = ((n+1)/r-1) r 3 = (n+1)r 2 - r 3 = (n+1)n(n+1)(2n+1)/6-(n 2 (n+1) 2 )/4

35 = n(n+1)/12 [4n 2 + 6n + 2-3n 2-3n] = n(n+1)(n 2 +3n+2)/12 n(n+1)(n+1)(n+2)/12=(n(n+1) 2 (n+2))/12 (Hence, proved) Example 15: If (1+x) n = C 0 + C 1 x + C 2 x C n x n then show that (i) 0 i<j n C i C j = 2 2n-1 - (ii) 0 i<j n (C i + C 2 j) = (n - 1) 2n C n + 2 2n (iii) 0 i<j n C i C j = n (2 2n-1-1/2 2n C n ) (i) We have (C 0 + C 1 + C C n ) 2 = C C C n i<j n C i C j we get, (2n) 2 = 2n C n i<j n C i C j therefore 0 i<j n C i C j = 2 2n-1 - (2n)!/2(n!) 2 (Hence, proved) (ii) 0 i<j n C i C j n(c C C C n2 ) i<j n C i C j = n 2n C n + 2{2 2n-1 - (2n)!/2(n!) 2 } [from part (i)] = n 2n C n + 2 2n - 2n C n = (n-1) 2n C n + 2 2n (Hence, proved) (iii) Let 0 i<j n C i C j replace i by (n - i) and j by (n - j), we have P = 0 i<j n (2n-i0j) C n-i C n-j = 0 i<j n (2n-(i+j)) C i C j [. n C n = n C n-r ]

36 = 2n 0 i<j n C i C j - P.. 0 i<j n (i+j) C i C j = n[2 2n-1 - (2n)!/2(n!) 2 ] (Hence, proved)

Jacobi s four squares identity Martin Klazar

Jacobi s four squares identity Martin Klazar Jacobi s four squares identity Martin Klazar (lecture on the 7-th PhD conference) Ostrava, September 10, 013 C. Jacobi [] in 189 proved that for any integer n 1, r (n) = #{(x 1, x, x 3, x ) Z ( i=1 x i

More information

Taylor and Maclaurin Series

Taylor and Maclaurin Series Taylor and Maclaurin Series In the preceding section we were able to find power series representations for a certain restricted class of functions. Here we investigate more general problems: Which functions

More information

k, then n = p2α 1 1 pα k

k, then n = p2α 1 1 pα k Powers of Integers An integer n is a perfect square if n = m for some integer m. Taking into account the prime factorization, if m = p α 1 1 pα k k, then n = pα 1 1 p α k k. That is, n is a perfect square

More information

Math 115 Spring 2011 Written Homework 5 Solutions

Math 115 Spring 2011 Written Homework 5 Solutions . Evaluate each series. a) 4 7 0... 55 Math 5 Spring 0 Written Homework 5 Solutions Solution: We note that the associated sequence, 4, 7, 0,..., 55 appears to be an arithmetic sequence. If the sequence

More information

4. Binomial Expansions

4. Binomial Expansions 4. Binomial Expansions 4.. Pascal's Triangle The expansion of (a + x) 2 is (a + x) 2 = a 2 + 2ax + x 2 Hence, (a + x) 3 = (a + x)(a + x) 2 = (a + x)(a 2 + 2ax + x 2 ) = a 3 + ( + 2)a 2 x + (2 + )ax 2 +

More information

9.2 Summation Notation

9.2 Summation Notation 9. Summation Notation 66 9. Summation Notation In the previous section, we introduced sequences and now we shall present notation and theorems concerning the sum of terms of a sequence. We begin with a

More information

Mathematical Induction. Mary Barnes Sue Gordon

Mathematical Induction. Mary Barnes Sue Gordon Mathematics Learning Centre Mathematical Induction Mary Barnes Sue Gordon c 1987 University of Sydney Contents 1 Mathematical Induction 1 1.1 Why do we need proof by induction?.... 1 1. What is proof by

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a

More information

MATH 289 PROBLEM SET 4: NUMBER THEORY

MATH 289 PROBLEM SET 4: NUMBER THEORY MATH 289 PROBLEM SET 4: NUMBER THEORY 1. The greatest common divisor If d and n are integers, then we say that d divides n if and only if there exists an integer q such that n = qd. Notice that if d divides

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +

More information

SECTION 10-2 Mathematical Induction

SECTION 10-2 Mathematical Induction 73 0 Sequences and Series 6. Approximate e 0. using the first five terms of the series. Compare this approximation with your calculator evaluation of e 0.. 6. Approximate e 0.5 using the first five terms

More information

QUADRATIC EQUATIONS EXPECTED BACKGROUND KNOWLEDGE

QUADRATIC EQUATIONS EXPECTED BACKGROUND KNOWLEDGE MODULE - 1 Quadratic Equations 6 QUADRATIC EQUATIONS In this lesson, you will study aout quadratic equations. You will learn to identify quadratic equations from a collection of given equations and write

More information

1.3 Polynomials and Factoring

1.3 Polynomials and Factoring 1.3 Polynomials and Factoring Polynomials Constant: a number, such as 5 or 27 Variable: a letter or symbol that represents a value. Term: a constant, variable, or the product or a constant and variable.

More information

Student Outcomes. Lesson Notes. Classwork. Discussion (10 minutes)

Student Outcomes. Lesson Notes. Classwork. Discussion (10 minutes) NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 5 8 Student Outcomes Students know the definition of a number raised to a negative exponent. Students simplify and write equivalent expressions that contain

More information

Representation of functions as power series

Representation of functions as power series Representation of functions as power series Dr. Philippe B. Laval Kennesaw State University November 9, 008 Abstract This document is a summary of the theory and techniques used to represent functions

More information

3.1. Solving linear equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

3.1. Solving linear equations. Introduction. Prerequisites. Learning Outcomes. Learning Style Solving linear equations 3.1 Introduction Many problems in engineering reduce to the solution of an equation or a set of equations. An equation is a type of mathematical expression which contains one or

More information

Factoring Quadratic Expressions

Factoring Quadratic Expressions Factoring the trinomial ax 2 + bx + c when a = 1 A trinomial in the form x 2 + bx + c can be factored to equal (x + m)(x + n) when the product of m x n equals c and the sum of m + n equals b. (Note: the

More information

Introduction. Appendix D Mathematical Induction D1

Introduction. Appendix D Mathematical Induction D1 Appendix D Mathematical Induction D D Mathematical Induction Use mathematical induction to prove a formula. Find a sum of powers of integers. Find a formula for a finite sum. Use finite differences to

More information

Basic Proof Techniques

Basic Proof Techniques Basic Proof Techniques David Ferry dsf43@truman.edu September 13, 010 1 Four Fundamental Proof Techniques When one wishes to prove the statement P Q there are four fundamental approaches. This document

More information

Core Maths C1. Revision Notes

Core Maths C1. Revision Notes Core Maths C Revision Notes November 0 Core Maths C Algebra... Indices... Rules of indices... Surds... 4 Simplifying surds... 4 Rationalising the denominator... 4 Quadratic functions... 4 Completing the

More information

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4) ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x

More information

Factoring Trinomials of the Form x 2 bx c

Factoring Trinomials of the Form x 2 bx c 4.2 Factoring Trinomials of the Form x 2 bx c 4.2 OBJECTIVES 1. Factor a trinomial of the form x 2 bx c 2. Factor a trinomial containing a common factor NOTE The process used to factor here is frequently

More information

LS.6 Solution Matrices

LS.6 Solution Matrices LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions

More information

CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation

CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation CM2202: Scientific Computing and Multimedia Applications General Maths: 2. Algebra - Factorisation Prof. David Marshall School of Computer Science & Informatics Factorisation Factorisation is a way of

More information

DIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents

DIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents DIFFERENTIABILITY OF COMPLEX FUNCTIONS Contents 1. Limit definition of a derivative 1 2. Holomorphic functions, the Cauchy-Riemann equations 3 3. Differentiability of real functions 5 4. A sufficient condition

More information

Indices and Surds. The Laws on Indices. 1. Multiplication: Mgr. ubomíra Tomková

Indices and Surds. The Laws on Indices. 1. Multiplication: Mgr. ubomíra Tomková Indices and Surds The term indices refers to the power to which a number is raised. Thus x is a number with an index of. People prefer the phrase "x to the power of ". Term surds is not often used, instead

More information

3.1. RATIONAL EXPRESSIONS

3.1. RATIONAL EXPRESSIONS 3.1. RATIONAL EXPRESSIONS RATIONAL NUMBERS In previous courses you have learned how to operate (do addition, subtraction, multiplication, and division) on rational numbers (fractions). Rational numbers

More information

6 EXTENDING ALGEBRA. 6.0 Introduction. 6.1 The cubic equation. Objectives

6 EXTENDING ALGEBRA. 6.0 Introduction. 6.1 The cubic equation. Objectives 6 EXTENDING ALGEBRA Chapter 6 Extending Algebra Objectives After studying this chapter you should understand techniques whereby equations of cubic degree and higher can be solved; be able to factorise

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

The thing that started it 8.6 THE BINOMIAL THEOREM

The thing that started it 8.6 THE BINOMIAL THEOREM 476 Chapter 8 Discrete Mathematics: Functions on the Set of Natural Numbers (b) Based on your results for (a), guess the minimum number of moves required if you start with an arbitrary number of n disks.

More information

LINEAR INEQUALITIES. Mathematics is the art of saying many things in many different ways. MAXWELL

LINEAR INEQUALITIES. Mathematics is the art of saying many things in many different ways. MAXWELL Chapter 6 LINEAR INEQUALITIES 6.1 Introduction Mathematics is the art of saying many things in many different ways. MAXWELL In earlier classes, we have studied equations in one variable and two variables

More information

Equations, Inequalities & Partial Fractions

Equations, Inequalities & Partial Fractions Contents Equations, Inequalities & Partial Fractions.1 Solving Linear Equations 2.2 Solving Quadratic Equations 1. Solving Polynomial Equations 1.4 Solving Simultaneous Linear Equations 42.5 Solving Inequalities

More information

MATH 10034 Fundamental Mathematics IV

MATH 10034 Fundamental Mathematics IV MATH 0034 Fundamental Mathematics IV http://www.math.kent.edu/ebooks/0034/funmath4.pdf Department of Mathematical Sciences Kent State University January 2, 2009 ii Contents To the Instructor v Polynomials.

More information

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03

Discrete Mathematics: Homework 7 solution. Due: 2011.6.03 EE 2060 Discrete Mathematics spring 2011 Discrete Mathematics: Homework 7 solution Due: 2011.6.03 1. Let a n = 2 n + 5 3 n for n = 0, 1, 2,... (a) (2%) Find a 0, a 1, a 2, a 3 and a 4. (b) (2%) Show that

More information

Lies My Calculator and Computer Told Me

Lies My Calculator and Computer Told Me Lies My Calculator and Computer Told Me 2 LIES MY CALCULATOR AND COMPUTER TOLD ME Lies My Calculator and Computer Told Me See Section.4 for a discussion of graphing calculators and computers with graphing

More information

SOLVING POLYNOMIAL EQUATIONS

SOLVING POLYNOMIAL EQUATIONS C SOLVING POLYNOMIAL EQUATIONS We will assume in this appendix that you know how to divide polynomials using long division and synthetic division. If you need to review those techniques, refer to an algebra

More information

3. INNER PRODUCT SPACES

3. INNER PRODUCT SPACES . INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.

More information

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12 CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.

More information

Partial Fractions. p(x) q(x)

Partial Fractions. p(x) q(x) Partial Fractions Introduction to Partial Fractions Given a rational function of the form p(x) q(x) where the degree of p(x) is less than the degree of q(x), the method of partial fractions seeks to break

More information

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish

More information

Matrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws.

Matrix Algebra. Some Basic Matrix Laws. Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Matrix Algebra A. Doerr Before reading the text or the following notes glance at the following list of basic matrix algebra laws. Some Basic Matrix Laws Assume the orders of the matrices are such that

More information

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year.

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year. This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Algebra

More information

Differentiation and Integration

Differentiation and Integration This material is a supplement to Appendix G of Stewart. You should read the appendix, except the last section on complex exponentials, before this material. Differentiation and Integration Suppose we have

More information

Chapter 9. Systems of Linear Equations

Chapter 9. Systems of Linear Equations Chapter 9. Systems of Linear Equations 9.1. Solve Systems of Linear Equations by Graphing KYOTE Standards: CR 21; CA 13 In this section we discuss how to solve systems of two linear equations in two variables

More information

Inner Product Spaces

Inner Product Spaces Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and

More information

SYSTEMS OF PYTHAGOREAN TRIPLES. Acknowledgements. I would like to thank Professor Laura Schueller for advising and guiding me

SYSTEMS OF PYTHAGOREAN TRIPLES. Acknowledgements. I would like to thank Professor Laura Schueller for advising and guiding me SYSTEMS OF PYTHAGOREAN TRIPLES CHRISTOPHER TOBIN-CAMPBELL Abstract. This paper explores systems of Pythagorean triples. It describes the generating formulas for primitive Pythagorean triples, determines

More information

1. Prove that the empty set is a subset of every set.

1. Prove that the empty set is a subset of every set. 1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since

More information

Every Positive Integer is the Sum of Four Squares! (and other exciting problems)

Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Every Positive Integer is the Sum of Four Squares! (and other exciting problems) Sophex University of Texas at Austin October 18th, 00 Matilde N. Lalín 1. Lagrange s Theorem Theorem 1 Every positive integer

More information

Real Roots of Univariate Polynomials with Real Coefficients

Real Roots of Univariate Polynomials with Real Coefficients Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials

More information

I remember that when I

I remember that when I 8. Airthmetic and Geometric Sequences 45 8. ARITHMETIC AND GEOMETRIC SEQUENCES Whenever you tell me that mathematics is just a human invention like the game of chess I would like to believe you. But I

More information

Homework until Test #2

Homework until Test #2 MATH31: Number Theory Homework until Test # Philipp BRAUN Section 3.1 page 43, 1. It has been conjectured that there are infinitely many primes of the form n. Exhibit five such primes. Solution. Five such

More information

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5. PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include

More information

Continued Fractions and the Euclidean Algorithm

Continued Fractions and the Euclidean Algorithm Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction

More information

MISS. INDUCTION SEQUENCES and SERIES. J J O'Connor MT1002 2009/10

MISS. INDUCTION SEQUENCES and SERIES. J J O'Connor MT1002 2009/10 MISS MATHEMATICAL INDUCTION SEQUENCES and SERIES J J O'Connor MT002 2009/0 Contents This booklet contains eleven lectures on the topics: Mathematical Induction 2 Sequences 9 Series 3 Power Series 22 Taylor

More information

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson JUST THE MATHS UNIT NUMBER 1.8 ALGEBRA 8 (Polynomials) by A.J.Hobson 1.8.1 The factor theorem 1.8.2 Application to quadratic and cubic expressions 1.8.3 Cubic equations 1.8.4 Long division of polynomials

More information

1.4. Arithmetic of Algebraic Fractions. Introduction. Prerequisites. Learning Outcomes

1.4. Arithmetic of Algebraic Fractions. Introduction. Prerequisites. Learning Outcomes Arithmetic of Algebraic Fractions 1.4 Introduction Just as one whole number divided by another is called a numerical fraction, so one algebraic expression divided by another is known as an algebraic fraction.

More information

GEOMETRIC SEQUENCES AND SERIES

GEOMETRIC SEQUENCES AND SERIES 4.4 Geometric Sequences and Series (4 7) 757 of a novel and every day thereafter increase their daily reading by two pages. If his students follow this suggestion, then how many pages will they read during

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

The Method of Partial Fractions Math 121 Calculus II Spring 2015

The Method of Partial Fractions Math 121 Calculus II Spring 2015 Rational functions. as The Method of Partial Fractions Math 11 Calculus II Spring 015 Recall that a rational function is a quotient of two polynomials such f(x) g(x) = 3x5 + x 3 + 16x x 60. The method

More information

UNIT 5 VOCABULARY: POLYNOMIALS

UNIT 5 VOCABULARY: POLYNOMIALS 2º ESO Bilingüe Page 1 UNIT 5 VOCABULARY: POLYNOMIALS 1.1. Algebraic Language Algebra is a part of mathematics in which symbols, usually letters of the alphabet, represent numbers. Letters are used to

More information

Sequences and Series

Sequences and Series Sequences and Series Consider the following sum: 2 + 4 + 8 + 6 + + 2 i + The dots at the end indicate that the sum goes on forever. Does this make sense? Can we assign a numerical value to an infinite

More information

0.8 Rational Expressions and Equations

0.8 Rational Expressions and Equations 96 Prerequisites 0.8 Rational Expressions and Equations We now turn our attention to rational expressions - that is, algebraic fractions - and equations which contain them. The reader is encouraged to

More information

( ) FACTORING. x In this polynomial the only variable in common to all is x.

( ) FACTORING. x In this polynomial the only variable in common to all is x. FACTORING Factoring is similar to breaking up a number into its multiples. For example, 10=5*. The multiples are 5 and. In a polynomial it is the same way, however, the procedure is somewhat more complicated

More information

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion

CHAPTER 5. Number Theory. 1. Integers and Division. Discussion CHAPTER 5 Number Theory 1. Integers and Division 1.1. Divisibility. Definition 1.1.1. Given two integers a and b we say a divides b if there is an integer c such that b = ac. If a divides b, we write a

More information

Zero: If P is a polynomial and if c is a number such that P (c) = 0 then c is a zero of P.

Zero: If P is a polynomial and if c is a number such that P (c) = 0 then c is a zero of P. MATH 11011 FINDING REAL ZEROS KSU OF A POLYNOMIAL Definitions: Polynomial: is a function of the form P (x) = a n x n + a n 1 x n 1 + + a x + a 1 x + a 0. The numbers a n, a n 1,..., a 1, a 0 are called

More information

Tim Kerins. Leaving Certificate Honours Maths - Algebra. Tim Kerins. the date

Tim Kerins. Leaving Certificate Honours Maths - Algebra. Tim Kerins. the date Leaving Certificate Honours Maths - Algebra the date Chapter 1 Algebra This is an important portion of the course. As well as generally accounting for 2 3 questions in examination it is the basis for many

More information

Systems of Linear Equations

Systems of Linear Equations Systems of Linear Equations Beifang Chen Systems of linear equations Linear systems A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where a, a,, a n and

More information

PYTHAGOREAN TRIPLES KEITH CONRAD

PYTHAGOREAN TRIPLES KEITH CONRAD PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient

More information

Chapter 7 - Roots, Radicals, and Complex Numbers

Chapter 7 - Roots, Radicals, and Complex Numbers Math 233 - Spring 2009 Chapter 7 - Roots, Radicals, and Complex Numbers 7.1 Roots and Radicals 7.1.1 Notation and Terminology In the expression x the is called the radical sign. The expression under the

More information

A Systematic Approach to Factoring

A Systematic Approach to Factoring A Systematic Approach to Factoring Step 1 Count the number of terms. (Remember****Knowing the number of terms will allow you to eliminate unnecessary tools.) Step 2 Is there a greatest common factor? Tool

More information

1.5. Factorisation. Introduction. Prerequisites. Learning Outcomes. Learning Style

1.5. Factorisation. Introduction. Prerequisites. Learning Outcomes. Learning Style Factorisation 1.5 Introduction In Block 4 we showed the way in which brackets were removed from algebraic expressions. Factorisation, which can be considered as the reverse of this process, is dealt with

More information

15. Symmetric polynomials

15. Symmetric polynomials 15. Symmetric polynomials 15.1 The theorem 15.2 First examples 15.3 A variant: discriminants 1. The theorem Let S n be the group of permutations of {1,, n}, also called the symmetric group on n things.

More information

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.

Elementary Number Theory and Methods of Proof. CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook. Elementary Number Theory and Methods of Proof CSE 215, Foundations of Computer Science Stony Brook University http://www.cs.stonybrook.edu/~cse215 1 Number theory Properties: 2 Properties of integers (whole

More information

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style Solving quadratic equations 3.2 Introduction A quadratic equation is one which can be written in the form ax 2 + bx + c = 0 where a, b and c are numbers and x is the unknown whose value(s) we wish to find.

More information

Factoring Polynomials

Factoring Polynomials UNIT 11 Factoring Polynomials You can use polynomials to describe framing for art. 396 Unit 11 factoring polynomials A polynomial is an expression that has variables that represent numbers. A number can

More information

Tool 1. Greatest Common Factor (GCF)

Tool 1. Greatest Common Factor (GCF) Chapter 4: Factoring Review Tool 1 Greatest Common Factor (GCF) This is a very important tool. You must try to factor out the GCF first in every problem. Some problems do not have a GCF but many do. When

More information

Partial Fractions Examples

Partial Fractions Examples Partial Fractions Examples Partial fractions is the name given to a technique of integration that may be used to integrate any ratio of polynomials. A ratio of polynomials is called a rational function.

More information

arxiv:0909.4913v2 [math.ho] 4 Nov 2009

arxiv:0909.4913v2 [math.ho] 4 Nov 2009 IRRATIONALITY FROM THE BOOK STEVEN J. MILLER AND DAVID MONTAGUE arxiv:0909.4913v2 [math.ho] 4 Nov 2009 A right of passage to theoretical mathematics is often a proof of the irrationality of 2, or at least

More information

1. First-order Ordinary Differential Equations

1. First-order Ordinary Differential Equations Advanced Engineering Mathematics 1. First-order ODEs 1 1. First-order Ordinary Differential Equations 1.1 Basic concept and ideas 1.2 Geometrical meaning of direction fields 1.3 Separable differential

More information

Application. Outline. 3-1 Polynomial Functions 3-2 Finding Rational Zeros of. Polynomial. 3-3 Approximating Real Zeros of.

Application. Outline. 3-1 Polynomial Functions 3-2 Finding Rational Zeros of. Polynomial. 3-3 Approximating Real Zeros of. Polynomial and Rational Functions Outline 3-1 Polynomial Functions 3-2 Finding Rational Zeros of Polynomials 3-3 Approximating Real Zeros of Polynomials 3-4 Rational Functions Chapter 3 Group Activity:

More information

God created the integers and the rest is the work of man. (Leopold Kronecker, in an after-dinner speech at a conference, Berlin, 1886)

God created the integers and the rest is the work of man. (Leopold Kronecker, in an after-dinner speech at a conference, Berlin, 1886) Chapter 2 Numbers God created the integers and the rest is the work of man. (Leopold Kronecker, in an after-dinner speech at a conference, Berlin, 1886) God created the integers and the rest is the work

More information

1.2. Successive Differences

1.2. Successive Differences 1. An Application of Inductive Reasoning: Number Patterns In the previous section we introduced inductive reasoning, and we showed how it can be applied in predicting what comes next in a list of numbers

More information

Click on the links below to jump directly to the relevant section

Click on the links below to jump directly to the relevant section Click on the links below to jump directly to the relevant section What is algebra? Operations with algebraic terms Mathematical properties of real numbers Order of operations What is Algebra? Algebra is

More information

Click here for answers. f x CD 1 2 ( BC AC AB ) 1 2 C. (b) Express da dt in terms of the quantities in part (a). can be greater than.

Click here for answers. f x CD 1 2 ( BC AC AB ) 1 2 C. (b) Express da dt in terms of the quantities in part (a). can be greater than. CHALLENGE PROBLEM CHAPTER 3 A Click here for answers. Click here for solutions.. (a) Find the domain of the function f x s s s3 x. (b) Find f x. ; (c) Check your work in parts (a) and (b) by graphing f

More information

Polynomial Expression

Polynomial Expression DETAILED SOLUTIONS AND CONCEPTS - POLYNOMIAL EXPRESSIONS Prepared by Ingrid Stewart, Ph.D., College of Southern Nevada Please Send Questions and Comments to ingrid.stewart@csn.edu. Thank you! PLEASE NOTE

More information

5.1 FACTORING OUT COMMON FACTORS

5.1 FACTORING OUT COMMON FACTORS C H A P T E R 5 Factoring he sport of skydiving was born in the 1930s soon after the military began using parachutes as a means of deploying troops. T Today, skydiving is a popular sport around the world.

More information

A.2. Exponents and Radicals. Integer Exponents. What you should learn. Exponential Notation. Why you should learn it. Properties of Exponents

A.2. Exponents and Radicals. Integer Exponents. What you should learn. Exponential Notation. Why you should learn it. Properties of Exponents Appendix A. Exponents and Radicals A11 A. Exponents and Radicals What you should learn Use properties of exponents. Use scientific notation to represent real numbers. Use properties of radicals. Simplify

More information

Factoring Special Polynomials

Factoring Special Polynomials 6.6 Factoring Special Polynomials 6.6 OBJECTIVES 1. Factor the difference of two squares 2. Factor the sum or difference of two cubes In this section, we will look at several special polynomials. These

More information

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a 88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small

More information

Precalculus with Geometry and Trigonometry

Precalculus with Geometry and Trigonometry Precalculus with Geometry and Trigonometry by Avinash Sathaye, Professor of Mathematics 1 Department of Mathematics, University of Kentucky Āryabhaṭa This book may be freely downloaded for personal use

More information

Sample Induction Proofs

Sample Induction Proofs Math 3 Worksheet: Induction Proofs III, Sample Proofs A.J. Hildebrand Sample Induction Proofs Below are model solutions to some of the practice problems on the induction worksheets. The solutions given

More information

Algebra Cheat Sheets

Algebra Cheat Sheets Sheets Algebra Cheat Sheets provide you with a tool for teaching your students note-taking, problem-solving, and organizational skills in the context of algebra lessons. These sheets teach the concepts

More information

Second Order Linear Partial Differential Equations. Part I

Second Order Linear Partial Differential Equations. Part I Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction

More information

Polynomials. Key Terms. quadratic equation parabola conjugates trinomial. polynomial coefficient degree monomial binomial GCF

Polynomials. Key Terms. quadratic equation parabola conjugates trinomial. polynomial coefficient degree monomial binomial GCF Polynomials 5 5.1 Addition and Subtraction of Polynomials and Polynomial Functions 5.2 Multiplication of Polynomials 5.3 Division of Polynomials Problem Recognition Exercises Operations on Polynomials

More information

WRITING PROOFS. Christopher Heil Georgia Institute of Technology

WRITING PROOFS. Christopher Heil Georgia Institute of Technology WRITING PROOFS Christopher Heil Georgia Institute of Technology A theorem is just a statement of fact A proof of the theorem is a logical explanation of why the theorem is true Many theorems have this

More information

1.3 Algebraic Expressions

1.3 Algebraic Expressions 1.3 Algebraic Expressions A polynomial is an expression of the form: a n x n + a n 1 x n 1 +... + a 2 x 2 + a 1 x + a 0 The numbers a 1, a 2,..., a n are called coefficients. Each of the separate parts,

More information

is identically equal to x 2 +3x +2

is identically equal to x 2 +3x +2 Partial fractions 3.6 Introduction It is often helpful to break down a complicated algebraic fraction into a sum of simpler fractions. 4x+7 For example it can be shown that has the same value as 1 + 3

More information

Polynomials. Dr. philippe B. laval Kennesaw State University. April 3, 2005

Polynomials. Dr. philippe B. laval Kennesaw State University. April 3, 2005 Polynomials Dr. philippe B. laval Kennesaw State University April 3, 2005 Abstract Handout on polynomials. The following topics are covered: Polynomial Functions End behavior Extrema Polynomial Division

More information