Discrete Mathematics with Applications 4th Edition

Published by Cengage Learning
ISBN 10: 0-49539-132-8
ISBN 13: 978-0-49539-132-6

Chapter 5 - Sequences, Mathematical Induction, and Recursion - Exercise Set 5.7 - Page 316: 47

Answer

\[ \boxed{t_k = \left\lfloor \frac{k+1}{2} \right\rfloor.} \] Equivalently, for even \(k=2n\), \(t_k = n\); for odd \(k=2n+1\), \(t_k = n+1\).

Work Step by Step

**Solution Explanation** We have the recurrence \[ \begin{cases} t_0 = 0,\\[4pt] t_k = k \;-\; t_{k-1}, \quad \text{for all integers } k \ge 1. \end{cases} \] --- ## (a) Use Iteration to Guess an Explicit Formula Let us compute the first several terms: \(t_0 = 0\) (given). \(t_1 = 1 - t_0 = 1 - 0 = 1.\) \(t_2 = 2 - t_1 = 2 - 1 = 1.\) \(t_3 = 3 - t_2 = 3 - 1 = 2.\) \(t_4 = 4 - t_3 = 4 - 2 = 2.\) \(t_5 = 5 - t_4 = 5 - 2 = 3.\) \(t_6 = 6 - t_5 = 6 - 3 = 3.\) \(t_7 = 7 - t_6 = 7 - 3 = 4.\) \(t_8 = 8 - t_7 = 8 - 4 = 4.\) \(t_9 = 9 - t_8 = 9 - 4 = 5.\) We see a pattern where \(t_k\) increases by 1 every two steps: \[ \begin{aligned} k &= 0,1,2,3,4,5,6,7,8,9,\dots \\ t_k &= 0,1,1,2,2,3,3,4,4,5,\dots \end{aligned} \] More precisely: - For even \(k = 2n\), it looks like \(t_{2n} = n\). - For odd \(k = 2n+1\), it looks like \(t_{2n+1} = n + 1\). One succinct way to combine these cases is to observe: \[ t_k = \left\lfloor \frac{k+1}{2} \right\rfloor. \] Indeed, if \(k\) is even \(\bigl(k=2n\bigr)\), then \(\lfloor (k+1)/2 \rfloor = \lfloor (2n+1)/2 \rfloor = \lfloor n + 0.5 \rfloor = n.\) If \(k\) is odd \(\bigl(k=2n+1\bigr)\), then \(\lfloor (k+1)/2 \rfloor = \lfloor (2n+2)/2 \rfloor = \lfloor n+1 \rfloor = n+1.\) Hence our “guess” for an explicit formula is: \[ \boxed{ t_k = \left\lfloor \frac{k+1}{2} \right\rfloor, \quad k \ge 0. } \] Alternatively, one can write it as a piecewise function: \[ t_k = \begin{cases} \dfrac{k}{2}, & \text{if \(k\) is even},\\[4pt] \dfrac{k+1}{2}, & \text{if \(k\) is odd}. \end{cases} \] Either form is correct. --- ## (b) Verification by Strong (or Simple) Induction We prove the closed‐form \[ t_k = \left\lfloor \frac{k+1}{2} \right\rfloor \] satisfies the recurrence \(t_k = k - t_{k-1}\) with \(t_0 = 0\). ### Base Case - For \(k=0\): The formula gives \(\lfloor (0+1)/2 \rfloor = \lfloor 1/2 \rfloor = 0\), which matches \(t_0 = 0\). ### Inductive Step Assume for some integer \(k \ge 1\) that \(t_{k-1} = \lfloor k/2 \rfloor\). We need to show \(t_k = \lfloor (k+1)/2 \rfloor\). From the recurrence: \[ t_k = k \;-\; t_{k-1} = k \;-\; \left\lfloor \frac{k}{2} \right\rfloor. \] Now consider whether \(k\) is even or odd: - If \(k\) is **even**, say \(k = 2n\). Then \(\lfloor k/2 \rfloor = \lfloor 2n/2 \rfloor = n\). Hence \[ t_k = 2n - n = n = \left\lfloor \frac{2n+1}{2} \right\rfloor = \left\lfloor \frac{k+1}{2} \right\rfloor. \] - If \(k\) is **odd**, say \(k = 2n+1\). Then \(\lfloor k/2 \rfloor = \lfloor (2n+1)/2 \rfloor = n\). So \[ t_k = (2n+1) - n = n+1 = \left\lfloor \frac{(2n+1)+1}{2} \right\rfloor = \left\lfloor \frac{k+1}{2} \right\rfloor. \] In both cases, \(t_k\) indeed equals \(\lfloor (k+1)/2 \rfloor\). This completes the inductive step.
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