
Prove:
$$ \int_{0}^{1} e^{x} \sqrt{2 x+1}\left(1+x+x^{2}\right)^{100} d x \leq \sqrt{\frac{\left(e^{2}-1\right)\left(3^{201}-1\right)}{402}} $$
You may not use any integral computation tools such as Wolfram Alpha for this question. HINT: Think about inner products.
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\(\frac{\mathscr{L}}{\frac{\rho_{\infty} V_{\infty}^{2} c}{2}}=\int_{0}^{\frac{b}{2}}\left(\frac{\partial C_{l}}{\partial \alpha}\left(\alpha-\alpha_{C_{l}=0}\right)+\frac{\partial C_{l}}{\partial \alpha} \varphi(v)-\frac{\partial C_{l}}{\partial \alpha} \frac{\dot{p} v}{V_{\infty}}+\frac{\partial C_{l}}{\partial \beta} \beta \mathscr{U}_{b_{2}}(v)\right) v d v\)substitute this value in the integral and solve:
1-Given the function: \(y=\frac{x^{2}-3 x-4}{x^{2}-5 x+4}\), decide if \(f(x)=y\) is continuous or has a removable discontinuity, and find horizontal tond vertical asymptotes.2 A-Use the definition \(\lim _{h \rightarrow 0} \frac{f(x+h)-f(x)}{h}\) to prove that derivative of \(f(x)=\sqrt{4-x}\) is \(\frac{-1}{2 \sqrt{4-x}}\)2 B- Evaluate the limit \(\lim _{h \rightarrow 0} \frac{f(x+h) - f(x)}{h}\) for the given value of \(x\) and function \(f(x) .\)$$ f(x)=\sin x, \quad x=\frac{\pi}{4} $$3-Given the function: \(y=(x+4)^{3}(x-2)^{2}\), find y' and classify critical numbers very carefully using first derivative tess...
3) Find the mean value of \(y=\frac{x}{x^{2}}+\frac{x^{4}}{\sqrt{2} x^{2}}-\frac{x}{2} e^{x^{2}}\) for \(0.5 \leq x \leq 1\).4) Find the general solution of the following differential equation. $$ \frac{d y}{d x}=\frac{x^{2}}{49 y^{3}+x^{2} y^{3}} $$5) Solve the following differential equation. $$ \frac{d^{2} y}{d x^{2}}=\frac{x}{(16+x)^{2}} $$
Round your answers to two decimal places. a. Using the following equation:\(S_{\hat{y}},=s \sqrt{\frac{1}{n}+\frac{\left(x^{*}-\bar{x}\right)^{2}}{\sum\left(x_{i}-\bar{x}\right)^{2}}}\) Estimate the standard deviation of \(\hat{y}^{*}\) when \(x=3 .\)b. Using the following expression:\(\hat{y} * \pm t_{\alpha / 2} s_{\hat{y}}\)Develop a \(95 \%\) confidence interval for the expected value of \(y\) when \(x=3\). toc. Using the following equation:$$ s_{\text {pred }}=s \sqrt{1+\frac{1}{n}+\frac{\left(x^{*}-\bar{x}\right)^{2}}{\sum\left(x_{i}-\bar{x}\right)^{2}}} $$Estimate the standard deviation of an individual value of \(y\) when \(x=3\).d. Using the following expression:\(\hat{y}^{*} \pm t_{\alpha / 2} s_{\text {pred }}\)Develop a \(95 \%\) prediction...
Let \(X\) be a normal random variable with mean \(\mu\), variance \(\sigma^{2}\), pdf$$ f(x)=\frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{(x-\mu)^{2}}{2 \sigma^{2}}} $$and mgf \(M(t)=e^{\mu t+\frac{1}{2} \sigma^{2} t^{2}}\)(a) Prove, by identifying the moment generating function of \(a+b X\), that \(a+b X \sim\) \(N\left(a+b \mu, b^{2} \sigma^{2}\right)\)(b) Prove, by identifying the pdf of \(a+b X\) (via the cdf), that \(a+b X \sim N(a+\) \(\left.b \mu, b^{2} \sigma^{2}\right)\)
My question relates to Example 2.4, Section 3 (The Harmonic Oscillator) in the textbook Introduction to Quantum Mechanics by DavidJ. Griffiths. My problem is with the normalization of of the following equation: |A|^2 \sqrt{\frac{m\omega}{\pi\hbar} (\frac{2m\omega}{\hbar})\int_{-infty}^\infty x^2 e^\frac{-m\omega x^2}{\hbar} dx. Integration by parts does not work because e^(-x^2) is not a n elementary function. I tried using the technique of improper integral - type 1 infinite integral - but I was not able to obtain the normalization factor of 1 given...
Let \(\left\{\varphi_{n}(x)\right\}\) be an orthogonal set of functions on \([a, b]\) such that \(\psi_{0}(x)=1\) and \(\varphi_{1}(x)=x\), Show that \(\int_{a}^{b}(\alpha x+\beta) \varphi_{n}(x) d x=0\) for \(n=2,3, \ldots\) and any constants \(\alpha\) and \(\beta\),First we note that \(\alpha x+\beta=(\square) \Phi_{1}(x)+(\square \quad) \Psi_{0}(x)\).Using this together with the fact that \(\varphi_{0}\) and \(\varphi_{1}\) are orthogonal to \(\varphi_{n}\) for \(n>1\), we have the following.$$ \begin{aligned} \int_{a}^{b}(\alpha x+\beta) \varphi_{n}(x) d x &=\int_{a}^{b} a x \psi_{n}(x) d x+\int_{a}^{b} \beta \varphi_{n}(x) d x \\ &=\int_{a}^{b}\left(\square_{0}\right) \varphi_{1}(x) \varphi_{n}(x) d...
(15 marks) Find the Fourier integral representation of \(f(x)=e^{-|x|}\) and hence show that$$ \int_{0}^{\infty} \frac{d t}{1+t^{2}}=\frac{\pi}{2} $$
Assess a subjective triangular probability distribution for the
random variable, X, where X is defined as the amount of snowfall
you think we will get in our next snowstorm in inches. Suppose that
you expect your commute to increase in minutes according to the
function . What is the expected increase in your
commute for the next snowstorm?
Estimate E[f(X)] by creating simple Monte Carlo
simulation in Excel.
Here are some equations for the triangular distribution that may
help you:...
5. If \(f(x)=\left\{\begin{array}{cc}0 & -2<x<0 \\ x & 0<x<2\end{array} \quad\right.\)is periodio of period 4 , and whose Fourier series is given by \(\frac{a_{0}}{2}+\sum_{n=1}^{2}\left[a_{n} \cos \left(\frac{n \pi}{2} x\right)+b_{n} \sin \left(\frac{n \pi}{2} x\right)\right], \quad\) find \(a_{n}\)A. \(\frac{2}{n^{2} \pi^{2}}\)B. \(\frac{(-1)^{n}-1}{n^{2} \pi^{2}}\)C. \(\frac{4}{n^{2} \pi^{2}}\)D. \(\frac{2}{n \pi}\)\(\mathbf{E}_{1} \frac{2\left((-1)^{n}-1\right)}{n^{2} \pi^{2}}\)F. \(\frac{4}{n \pi}\)6. Let \(f(x)-2 x-l\) on \([0,2]\). The Fourier sine series for \(f(x)\) is \(\sum_{w}^{n} b_{n} \sin \left(\frac{n \pi}{2} x\right)\), What is \(b, ?\)A. \(\frac{4}{3 \pi}\)B. \(\frac{2}{\pi}\)C. \(\frac{4}{\pi}\)D. \(\frac{-4}{3 \pi}\)E. \(\frac{-2}{\pi}\)F. \(\frac{-4}{\pi}\)7. Let \(f(x)\) be periodic...