8 problems found
The sequence \(F_n\), for \(n = 0, 1, 2, \ldots\), is defined by \(F_0 = 0\), \(F_1 = 1\) and by \(F_{n+2} = F_{n+1} + F_n\) for \(n \geqslant 0\). Prove by induction that, for all positive integers \(n\), \[\begin{pmatrix} F_{n+1} & F_n \\ F_n & F_{n-1} \end{pmatrix} = \mathbf{Q}^n,\] where the matrix \(\mathbf{Q}\) is given by \[\mathbf{Q} = \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}.\]
Given an infinite sequence of numbers \(u_0\), \(u_1\), \(u_2\), \(\ldots\,\), we define the generating function, \(\f\), for the sequence by \[ \f(x) = u_0 + u_1x +u_2 x^2 +u_3 x^3 + \cdots \,. \] Issues of convergence can be ignored in this question.
Solution:
By considering the coefficient of \(x^r\) in the series for \((1+x)(1+x)^n\), or otherwise, obtain the following relation between binomial coefficients: \[ \binom n r + \binom n {r-1} = \binom {n+1} r \qquad (1\le r\le n). \] The sequence of numbers \(B_0\), \(B_1\), \(B_2\), \(\ldots\) is defined by \[ B_{2m} = \sum_{j=0}^m \binom{2m-j}j \text{ and } B_{2m+1} = \sum_{k=0}^m \binom{2m+1-k}k . \] Show that \(B_{n+2} - B_{n+1} = B_{n}\,\) (\(n=0\), \(1\), \(2\), \(\ldots\,\)). What is the relation between the sequence \(B_0\), \(B_1\), \(B_2\), \(\ldots\) and the Fibonacci sequence \(F_0\), \(F_1\), \(F_2\), \(\ldots\) defined by \(F_0=0\), \(F_1=1\) and \(F_n = F_{n-1}+F_{n-2}\) for \(n\ge2\)?
Solution: The coefficient of \(x^{r-1}\) in \((1+x)^n\) is \(\binom{n}{r-1}\) and the coefficient of \(x^r\) in \((1+x)^n\) is \(\binom{n}{r}\). The only ways to get \(x^r\) in the expansion of \((1+x)(1+x)^n\) is to either multiply the \(x^r\) term from the second expansion by \(1\) or the \(x^{r-1}\) term by \(x\). This is \(\binom{n}{r-1} + \binom{n}{r}\). However, the coefficient of \(x^r\) in \((1+x)^{n+1}\) is \(\binom{n+1}r\), so \(\binom{n}{r} + \binom{n}{n-1} = \binom{n+1}r\). Claim: \(B_{n+2} - B_{n+1} = B_{n}\). Proof: Consider \(n\) even, ie \(n = 2m\) \begin{align*} B_{n+2} - B_{n+1} &= \sum_{j=0}^{m+1} \binom{2(m+1)-j}{j} - \sum_{j=0}^m \binom{2m+1-j}{j} \\ &= \binom{2(m+1)-(m+1)}{m+1} +\sum_{j=0}^m \left ( \binom{2(m+1)-j}{j} - \binom{2m+1-j}{j} \right) \\ &= 1 + \sum_{j=1}^m \binom{2m+1-j}{j-1} \\ &= 1 + \sum_{j=0}^{m-1} \binom{2m-j}{j} \\ &= \binom{m}{m} + \sum_{j=0}^{m-1} \binom{2m-j}{j} \\ &= \sum_{j=0}^{m} \binom{2m-j}{j} \\ &= B_n \end{align*} Consider \(n\) even, ie \(n = 2m+1\) \begin{align*} B_{n+2} - B_{n+1} &= \sum_{j=0}^{m+1} \binom{2(m+1)+1-j}{j} - \sum_{j=0}^{m+1} \binom{2(m+1)-j}{j} \\ &= \sum_{j=0}^{m+1} \left (\binom{2(m+1)+1-j}{j} - \binom{2(m+1)-j}{j}\right)\\ &= \sum_{j=1}^{m+1} \binom{2(m+1)-j}{j-1} \\ &= \sum_{j=0}^{m} \binom{2m+1-j}{j} \\ &= B_n \end{align*} as required. \(B_0 = 1, B_1 = 2\), therefore \(B_n = F_{n+2}\)
The sequence \(F_0\), \(F_1\), \(F_2\), \(\ldots\,\) is defined by \(F_0=0\), \(F_1=1\) and, for \(n\ge0\), \[ F_{n+2} = F_{n+1} + F_n \,. \]
The first four terms of a sequence are given by \(F_0=0\), \(F_1=1\), \(F_2=1\) and \(F_3=2\). The general term is given by \[ F_n= a\lambda^n+b\mu^n\,, \tag{\(*\)} \] where \(a\), \(b\), \(\lambda\) and \(\mu\) are independent of \(n\), and \(a\) is positive.
Solution:
The Fibonacci sequence \(F_1\), \(F_2\), \(F_3\), \(\ldots\) is defined by \(F_1=1\), \(F_2= 1\) and \[ F_{n+1} = F_n+F_{n-1} \qquad\qquad (n\ge 2). \] Write down the values of \(F_3\), \(F_4\), \(\ldots\), \(F_{10}\). Let \(\displaystyle S=\sum_{i=1}^\infty \dfrac1 {F_i}\,\).
Solution: \begin{array}{c|r} n & F_n \\ \hline 1 & 1 \\ 2 & 1 \\ 3 & 2 \\ 4 & 3 \\ 5 & 5 \\ 6 & 8 \\ 7 & 13 \\ 8 & 21 \\ 9 & 34 \\ 10 & 55 \end{array} \begin{questionparts} \item Claim: \(\frac1{F_i} > \frac1{2F_{i-1}}\) for \(i \geq 4\). Proof: Since \(F_i = F_{i-1}+F_{i-2}\) and \(F_i > 1\) for \(i \geq 1\) we have \(F_i > F_{i-1}\) for \(i \geq 3\). In particular we have \(F_i = F_{i-1}+F_{i-2} < 2F_{i-1}\) for \(i -1 \geq 3\) or \(i \geq 4\). Therefore \(\frac{1}{F_i} > \frac1{2F_{i-1}}\)
A sequence of numbers, \(F_1, F_2, \ldots\), is defined by \(F_1=1, F_2=1\), and \[ F_n=F_{n-1}+F_{n-2}\, \quad \text{for \(n\ge 3\)}. \]
The sequence \(u_0\), \(u_1\), \(u_2\), ... is defined by $$ u_0=1,\hspace{0.2in} u_1=1, \quad u_{n+1}=u_n+u_{n-1} \hspace{0.2in}{\rm for}\hspace{0.1in}n \ge 1\,. $$ Prove that $$ u^2_{n+2} + u^2_{n-1} = 2( u^2_{n+1} + u^2_n ) \,. $$ Using induction, or otherwise, prove the following result: \[ u_{2n} = u^2_n + u^2_{n-1} \quad \mbox{ and }\quad u_{2n+1} = u^2_{n+1} - u^2_{n-1} \] for any positive integer \(n\).
Solution: Claim: \(u^2_{n+2} + u^2_{n-1} = 2( u^2_{n+1} + u^2_n )\) Proof: (By Induction). (Base Case): \(n = 1\) \begin{align*} && LHS &= u_{n+2}^2 + u_{n-1}^2 \\ &&&= u_3^2 + u_0^2 \\ &&&= 3^2 + 1^2 = 10\\ && RHS &= 2(u_{n+1}^2+u_n^2) \\ &&&= 2(2^2 + 1^2) \\ &&&= 10 \end{align*} Therefore the base case is true. (Inductive hypothesis) Suppose \(u^2_{n+2} + u^2_{n-1} = 2( u^2_{n+1} + u^2_n )\) is true for some \(n = k\), ie \(u^2_{k+2} + u^2_{k-1} = 2( u^2_{k+1} + u^2_k )\), the consider \(n = k+1\) \begin{align*} && LHS &= u_{k+1+2}^2 + u_{k+1-1}^2 \\ &&&= (u_{k+1}+u_{k+2})^2+u_k^2 \\ &&&= u_{k+2}^2+u_{k+1}^2+ u_k^2 + 2u_{k+1}u_{k+2} \\ &&&= u_{k+2}^2+u_{k+1}^2+ u_k^2 + 2u_{k+1}(u_{k+1}+u_k) \\ &&&= u_{k+2}^2 + u_{k+1}^2+u_k^2+2u_{k+1}^2+2u_{k+1}u_k \\ &&&= u_{k+1}^2+2u_{k+1}^2+ u_{k+1}^2+u_k^2+2u_{k+1}u_k \\ &&&= u_{k+2}^2+2u_{k+1}^2+ (u_{k+1}+u_k)^2 \\ &&&= u_{k+2}^2+2u_{k+1}^2+ u_{k+2}^2 \\ &&&=2(u_{k+2}^2+u_{k+1}^2) \\ &&&= RHS \end{align*} Therefore it is true for \(n = k+1\). Therefore by the principle of mathematical induction it is true for all \(n \geq 1\) Claim: $ u_{2n} = u^2_n + u^2_{n-1} \quad \mbox{ and }\quad u_{2n+1} = u^2_{n+1} - u^2_{n-1} $ Proof: Notice that \(\begin{pmatrix}u_{n+1} \\ u_n \end{pmatrix}= \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}^n \begin{pmatrix}1 \\1 \end{pmatrix}\), in particular \begin{align*} && \begin{pmatrix}u_{n}& u_{n-1} \\ u_{n-1} & u_{n-2} \end{pmatrix}&= \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}^{n} \\ \Rightarrow && \begin{pmatrix}u_{2n}& u_{2n-1} \\ u_{2n-1} & u_{2n-2} \end{pmatrix}&= \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}^{2n} \\ &&&= \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}^{n} \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix}^{n} \\ &&&=\begin{pmatrix}u_{n}& u_{n-1} \\ u_{n-1} & u_{n-2} \end{pmatrix}\begin{pmatrix}u_{n}& u_{n-1} \\ u_{n-1} & u_{n-2} \end{pmatrix}\\ &&&= \begin{pmatrix}u_{n}^2+u_{n-1}^2& u_{n-1}(u_n+u_{n-2}) \\ u_{n-1}(u_n+u_{n-2}) & u_{n-1}^2+u_{n-2}^2 \end{pmatrix} \end{align*} Therefore \(u_{2n} = u_{n}^2+u_{n-1}^2\) and \(u_{2n+1} = u_n(u_{n+1}+u_{n-1}) =(u_{n+1}-u_{n-1})(u_{n+1}-u_{n-1}) = u_{n+1}^2-u_{n-1}^2\)