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Binomial Identities.

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Presentation on theme: "Binomial Identities."— Presentation transcript:

1 Binomial Identities

2 Expansion of (a + x)n (a + x) = a + x = 1C0a + 1C1x
(a + x)(a + x) = aa + ax + xa + xx = x2 + 2ax + a2 = 2C0x2 + 2C1ax + 2C2a2 The 4 red terms are the “formal” expansion of (a+x)2 The 3 blue terms are the “simplified” expansion of (a+x)2 (a + x)(a + x)(a + x) = aaa + aax + axa + axx + xaa + xax + xxa + xxx = x3 + 3a2x + 3ax2 + a3 = 3C0x3 + 3C1a2x + 3C2ax2 + 3C3a3

3 Generalizing . . . In (a + x)4, how many terms does the:
formal expansion have? simplified expansion have? In (a + x)n, how many terms does the:

4 The Coefficient on akxn-k
The coefficient on akxn-k is the number of terms in the formal expansion that have exactly k as (and hence exactly n-k xs). It is equal to the number of ways of choosing an a from exactly k of the n binomial factors: nCk.

5 Binomial Theorem (1 + x)n = nC0x0 + nC1x1 + nC2x2 + . . . nCnxn
In addition to the combinatorial argument that the coefficient of xi is nCi, we can prove this theorem by induction on n.

6 Binomial Identities nCk = n!/[k!(n-k)!] = nCn-k
The number of ways to pick k objects from n = the ways to pick not pick k (i.e., to pick n-k). Pascal’s identity: nCk = n-1Ck + n-1Ck-1 The number of ways to pick k objects from n can be partitioned into 2 parts: Those that exclude a particular object i: n-1Ck Those that include object i: n-1Ck-1 Give an algebraic proof of this identity.

7 nCk kCm = nCm n-mCk-m Each side of the equation counts the number of k-subsets with an m-subsubset. The LHS counts: 1. Pick k objects from n: nCk 2. Pick m special objects from the k: kCm The RHS counts: 1. Pick m special objects that will be part of the k-subset: nCm 2. Pick the k-m non-special objects: n-mCk-m

8 Pascal’s Triangle kth number in row n is nCk: k = 0 1 n = 0 k = 1
2 1 k = 4 1 3 3 1 n = 3 n = 4 1 4 6 4 1

9 Displaying Pascal’s Identity
k = 0 0C0 n = 0 k = 1 1C0 1C1 k = 2 n = 1 2C0 2C1 2C2 k = 3 n = 2 k = 4 3C0 3C1 3C2 3C3 n = 3 4C0 4C1 4C2 4C3 4C4 n = 4

10 Block-walking Interpretation
nCk = # strings of n Ls & Rs with k Rs. nCk = # ways to get to corner n,k starting from 0,0 k = 0 0C0 n = 0 k = 1 1C0 1C1 k = 2 n = 1 2C0 2C1 2C2 k = 3 n = 2 k = 4 3C0 3C1 3C2 3C3 n = 3 4C0 4C1 4C2 4C3 4C4 n = 4

11 Pascal’s Identity via Block-walking
# routes to corner n,k = # routes thru corner n-1,k + # routes thru corner n-1,k-1 k = 0 0C0 n = 0 k = 1 1C0 1C1 k = 2 n = 1 2C0 2C1 2C2 k = 3 n = 2 k = 4 3C0 3C1 3C2 3C3 n = 3 4C0 4C1 4C2 4C3 4C4 n = 4

12 nC0 + nC1 + nC nCn = 2n LHS counts # subsets of n elements using the sum rule: partitioning the subsets according to their size (k value). RHS counts # subsets of n elements using the product rule: Is element 1 in subset? (2 choices) Is element 2 in subset? (2 choices) … Is element n in subset? (2 choices)

13 rCr + r+1Cr + r+2Cr + . . . + nCr = n+1Cr+1
k = 0 0C0 n = 0 k = 1 1C0 1C1 k = 2 n = 1 2C0 2C1 2C2 k = 3 n = 2 k = 4 3C0 3C1 3C2 3C3 n = 3 4C0 4C1 4C2 4C3 4C4 n = 4

14 rCr + r+1Cr + r+2Cr + . . . + nCr = n+1Cr+1
RHS = routes to corner 4,2 LHS: Partition the routes to 4,2 into those: whose last right branch is at corner 1,1: 1C1 whose last right branch is at corner 2,1: 2C1 whose last right branch is at corner 3,1: 3C1 For each subset of routes, there is only 1 way to complete the route from that corner to 4,2: RLL, RL, & R respectively. The identity generalizes this argument.

15 nC02 + nC12 + nC22 + … + nCn2 = 2nCn k = 0 0C0 n = 0 k = 1 1C0 1C1

16 nC02 + nC12 + nC22 + … + nCn2 = 2nCn RHS = all routes to corner 4,2
LHS partitions routes to 4,2 into those that: go thru corner 2,0: 2C0  2C2 go thru corner 2,1: 2C1  2C1 go thru corner 2,2: 2C2  2C0 The identity generalizes this argument: # routes to 2n, n that go thru n,k = nCk  nCn-k Sum over k = 0 to n

17 123 + 234 + 345 +…+ (n-2)(n-1)n = ?
The general term = (k-2)(k-1)k = P(k,3) = k!/(k-3)! = 3!  kC3 Sum = 3!3C3 + 3!4C3 + 3!5C !nC3 = 3! [3C3 + 4C3 + 5C nC3 ] = 3!  n+1C4

18 A Strategy When the general term of a sum is not a binomial coefficient: break it into a sum of P(n, k) terms, if possible; rewrite these terms using binomial coefficients

19 12 + 22 + 32 +. . . + n2 = ? General term: = k2 = k(k-1) + k
= P(k, 2) + k = 2! kC2 + k

20 Sum Σk=1,n (2! kC2 + k ) = 2! Σk=1,n kC2 + Σk=1,n k = 2! n+1C3 + n+1C2

21 Another Strategy: Manipulate the Binomial Theorem
(1 + 1)n = 2n = nC0 + nC nCn (1 - 1)n = 0 = nC0 - nC1 + nC (-1)n nCn or nC0 + nC = nC1 + nC = 2n-1 Differentiate the Binomial theorem, n(1 + x)n-1 = 1nC1x0 + 2nC2x1 + 3nC3x2 + … + nnCnxn-1 n(1 + 1)n-1 = 1nC1 + 2nC2 + 3nC3 + … + nnCn


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