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8. Let D be the set whose members are defined as follows. Basis Step: the number...
discrete math. Structural Induction: Please write and explain clearly. Thank you. Let S be the set of binary strings defined recursively as follows: Basis step: 0ES Recursive step: If r ES then 1rl E S and 0x0ES (I#x and y are binary strings then ry is the concatenation of and y. For instance, if 011 and y 101, then ry 011101.) (a) List the elements of S produced by te first 2 applications of the recursive definition. Find So, Si...
(10 points) Recall that the set of full binary trees is defined as follows: Basis: A single vertex with no edges is a full binary tree. The root is the only vertex in the tree. Recursive rule: If T1 and T2 are full binary trees, then a new tree T' can be constructed by first placing T1 to the left of T2, adding a new vertex v at the top and then adding an edge between v and the root...
1. (2 marks) Let S 2,3,4,5,6,7,8,9, 10, 11, 12). Let r be the relation on the set S defined as follows: Va,bE S, arb if and only if every prime number that divides a is a factor of b and a S b. The relation T is a partial order relation (you do not need to prove this). Draw the Hasse diagram for T 1. (2 marks) Let S 2,3,4,5,6,7,8,9, 10, 11, 12). Let r be the relation on the...
7.15. Let be a finite set on which a neighborhood structure is defined; that is, each x e X has a set of neighbors N(x). Let nx be the number of neighbors of x E 2. Consider a Metropolis-Hastings algorithm with proposal density q(y x)- I/n for all y E N(x). That is, from a current state x, the proposal state is drawn from the set of neighbors with equal probability. Let the acceptance probability be Assuming the chain is...
4. (10pts) Let S be the subset of the set of binary strings defined recursively by Basis: XES. Recursive rule: If ze S, then c0 € S, and 1.6 ES. List the elements of S produced by the recursive definition with length less than or equal to 3.
7.15· Let X be a finite set on which a neighborhood structure is defined: that is, each x E 2 has a set of neighbors N(x). Let n be the number of neighbors of x e 2. Consider a Metropolis-Hastings algorithm with proposal density q(y | x) l/nx for all y E N(x). That is, from a current state x, the proposal state is drawn from the set of neighbors with equal probability. Let the acceptance probability be Assuming the...
7.15. Let % be a finite set on which a neighborhood structure is defined; that is, each x E 2 has a set of neighbors N(x). Let nx be the number of neighbors of x E 2. Consider a Metropolis-Hastings algorithm with proposal density q(y |x)- 1/nx for all y є N(x). That is, from a current state x, the proposal state is drawn from the set of neighbors with equal probability. Let the acceptance probability be Assuming the chain...
(1,3), с %3D (2,1), d (3,4) (1,2), b (4,2), f (5,3) and (5,5). Let 5. Let a = е 3 - {a, b, c, d, e, f, g} be the set of these 7 points. We define the following partial order on S: We have (r, y)(', y) iff x< x and y < / Draw the Hasse diagram of S S 6. We consider the same partial order as in Problem 5, but it is now defined on R2....
8. On the set A = {1,2,3,4,...,20}, an equivalence relation R is defined as follows: For all x, y € A, xRy 4(x - y). For each of the following, circle TRUE or FALSE. [4 points) a. TRUE or FALSE: There are only 4 distinct equivalence classes for this relation. b. TRUE or FALSE: If you remove all the even numbers from A, the relation would still be an equivalence relation. C. TRUE or FALSE: In this equivalence relation, 2R5...
4. Let f be a differentiable function defined on (0, 1) whose derivative is f'(c) = 1 - cos (+) [Note that we can confidently say such an f exists by the FTC.) Prove that f is strictly increasing on (0,1). 5. Let f be defined on [0, 1] by the following formula: 1 x = 1/n (n € N) 0, otherwise (a) Prove that f has an infinite number of discontinuities in [0,1]. (b) Prove that f is nonetheless...