Chapter 1: Problem 11
Show $$ (1+t)^{n}=\sum_{j=0}^{n}\left(\begin{array}{l} n \\ j \end{array}\right) t^{j} $$
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Chapter 1: Problem 11
Show $$ (1+t)^{n}=\sum_{j=0}^{n}\left(\begin{array}{l} n \\ j \end{array}\right) t^{j} $$
These are the key concepts you need to understand to accurately answer the question.
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Define \(f(x)=\int_{0}^{x} \frac{\log (1+t)}{t} d t\) (a) Give a Taylor polynomial approximation to \(f(x)\) about \(x=0\). (b) Bound the error in the degree \(n\) approximation for \(|x| \leq 1 / 2\). (c) Find \(n\) so as to have a Taylor approximation with an error of at most \(10^{-7}\) on \(\left[-\frac{1}{2}, \frac{1}{2}\right]\)
Find the Taylor polynomial about \(x=0\) for
$$
f(x)=\log \left(\frac{1+x}{1-x}\right), \quad-1
Produce a general formula for the degree \(n\) Taylor polynomials for the following functions, all using \(a=0\) as the point of approximation. (a) \(1 /(1-x)\) (b) \(\sin (x)\) (c) \(\sqrt{1+x}\) (d) \(\cos (x)\) (e) \((1+x)^{1 / 3}\)
For \(f(x)=e^{x}\), construct a cubic polynomial \(q(x)\) for which $$ \begin{aligned} q(0) &=f(0), & & q(1)=f(1) \\ q^{\prime}(0) &=f^{\prime}(0), & & q^{\prime}(1) &=f^{\prime}(1) \end{aligned} $$ Numerically compare it to \(e^{x}\) and the Taylor polynomial \(p_{3}(x)\) of \((1.6)\) for \(0 \leq\) \(x \leq 1\).
Find linear and quadratic Taylor polynomial approximations to \(f(x)=\sqrt[3]{x}\) about the point \(a=8\). Bound the error in each of your approximations on the interval \(8 \leq x \leq 8+\delta\) with \(\delta>0\). Obtain an actual numerical bound on the interval \([8,8.1]\)
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