1 / 28

Applied Combinatorics, 4th Ed. Alan Tucker

Applied Combinatorics, 4th Ed. Alan Tucker. Section 5.5 Binomial Identities Prepared by Jess Scheld and Amanda Dargie. Binomial Theorem. The coefficients represent choosing k x’s out of n choices. Properties of Binomial Coefficients.

adolph
Download Presentation

Applied Combinatorics, 4th Ed. Alan Tucker

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Applied Combinatorics, 4th Ed.Alan Tucker Section 5.5 Binomial Identities Prepared by Jess Scheld and Amanda Dargie Tucker, Sec. 5.5

  2. Binomial Theorem • The coefficients represent choosing k x’s out of n choices Tucker, Sec. 5.5

  3. Properties of Binomial Coefficients • This says that the number of ways to select a subset of k objects out of a set of n objects is equal to the number of ways to select a group of (n-k) of the objects to set aside (the objects not in the subset). Tucker, Sec. 5.5

  4. Binomial Properties • One Proof: • Committee of n people and you need to choose k, based on whether person P is there or not. • If P is not part of the committee, there are C(n-1, k) ways to form the committee from the other n-1 people • If P is part of the committee, then we choose k-1 remaining members from the other n-1 people. Thus, we get the identity above. Tucker, Sec. 5.5

  5. Binomial Properties • Another Proof: Tucker, Sec. 5.5

  6. Example 1 • The left side counts the ways to select a group of k from a group of n, and to then select a group of m leaders from the group k. • The right side selects the m leaders from n people first, and then selects the k - m people from the n -m group Tucker, Sec. 5.5

  7. Example 1 Algebraically Tucker, Sec. 5.5

  8. Example 1 cont. • When m=1, there is a special form of the equation Tucker, Sec. 5.5

  9. Behavior of Binomial Coefficients • For a fixed integer n, the values of the binomial coefficients C(n,k): • Increase as k increases as long as k ≤ n/2 • Decrease as k increases as long as k ≥ n/2 + 1 Tucker, Sec. 5.5

  10. k=0 1 1 1 1 2 1 1 3 3 1 1 4 6 4 1 1 5 10 10 5 1 k=1 n=0 k=2 n=1 k=3 n=2 k=4 n=3 n=4 Pascal’s Triangle • Each number in the table except the first and last numbers in a row, is the sum of the two neighboring numbers in the preceding row. The n’s represent how far down you are, and the k’s are how many rights you have taken. n=n Tucker, Sec. 5.5

  11. Block-Walking using Pascal’s Triangle • Begin at point (0,0), move down the page. • Label each street corner in the network with a pair of numbers (n,k), where n indicates the number of blocks traversed from (0,0) and k the number of times the person chose the right branch at intersections. • Write the route taken by a sequences of R’s (right branches) and L’s (left branches). • s(n,k) = number of possible routes from (0,0) to corner (n,k) • s(n,k)=C(n,k) Tucker, Sec. 5.5

  12. Block-walking Start (0,0) (4,2) Tucker, Sec. 5.5

  13. Binomial Identities Tucker, Sec. 5.5

  14. Binomial Identities cont. Tucker, Sec. 5.5

  15. Proof (Identity 6) • Committee argument: • 2 ways to count all subsets of any size of n people • Summing number of subsets of size 0, 1, 2… (left side of equation) • Counting all subsets by whether or not the first person is in the subset, whether the second person was in the subset, and so on, which gives Tucker, Sec. 5.5

  16. Example 2 Verify identity (8) by block-walking and committee-selection arguments. (8) • Consider the case where r = 2 and n = 6. Tucker, Sec. 5.5

  17. Example 2 • the corners (k, 2), k = 2,3,4,5,6 are marked with a * and corner (7,3) is marked with an o • Observe that the right branches at each starred corner are the locations of last possible right branches on routes from (0,0) to (7,3) • In general, if we break all routes from (0,0) to (n+1, r +1) into subcases based on the corner where the last right branch is taken, we obtain identity (8) * * * * * o Tucker, Sec. 5.5

  18. Example 2 • Restate the block-walking model as a committee selection: if the kth turn is right, this corresponds to selecting the kth person to be on the committee; if the kth turn is left, the kth person is not chosen • Break the ways to pick r +1 members of a committee from n +1people into cases depending on who is the last person chosen: the (r +1)st, the (r +2)nd,…, the (n +1)st • If the (r + k + 1)st person is the last chosen, then there are C(r + k, r) ways to pick the first r members of the committee • Identity (8) now follows. (0,0) * * * * * o (7,3) Tucker, Sec. 5.5

  19. Example 3 Verify identity (9) by a block-walking argument. (9) Tucker, Sec. 5.5

  20. Example 3 • The number of routes from (n, k) to (2n, n) = number of routes from (0, 0) to (n, n – k) [since both trips go a total of n blocks with n – k to the right (and k to the left)] • So number of ways to go from (0, 0) to (n, k) and then on to (2n, n) is C(n, k) x C(n, n –k) • By theorem (2), C(n, n- k) = C(n, k) • Thus, the number of routes from (0, 0) to (2n, n) via (n, k) is • Summing over all k – that is, over all • intermediate corners n blocks from the • start – we count all routes from (0, 0) to • (2n, n) • So this sum equals C(2n, n) and • identity (9) follows. n 2n Tucker, Sec. 5.5

  21. Example 4 Evaluate the sum + + …+ • The general term in this sum, (k – 2)(k – 1)k, is equal to • Recall that the numbers of r-permutations and of r-selections differ by a factor of r! Tucker, Sec. 5.5

  22. Example 4 • So the given sum can be rewritten as By identity (8) this sum equals Tucker, Sec. 5.5

  23. Example 5 Evaluate the sum • A strategy for problems whose general term is not a multiple of C(n, k) or P(n, k) is to decompose the term algebraically into a sum of P(n, k) or C(n, k)-type terms. • In this case, the general term can be written as Tucker, Sec. 5.5

  24. Example 5 cont. So the given sum can be rewritten as by identity (8). Tucker, Sec. 5.5

  25. Example • By setting x equal to the appropriate values in the binomial expansion (or one of its derivatives, etc.) evaluate: Tucker, Sec. 5.5

  26. Solution • Take 2nd derivitive: • So x =1 Tucker, Sec. 5.5

  27. For the class to try… • By setting x equal to the appropriate values in the binomial expansion (or one of its derivatives, etc.) evaluate: Tucker, Sec. 5.5

  28. Solution So, letting .. Tucker, Sec. 5.5

More Related