MATH 1226 - Test 2

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53 Terms

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00\frac00

Indeterminate

2
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±∞±∞\frac{\pm\infty}{\pm\infty}

Indeterminate

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1∞1^{\infty}

Indeterminate

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∞0\infty^0

Indeterminate

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0⋅∞0\cdot\infty

Indeterminate

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∞−∞\infty-\infty

Indeterminate

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000^0

Indeterminate

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∞\infty

Determinate

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∞+∞\infty+\infty

Determinate

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−∞−∞-\infty-\infty

Determinate

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C0[C≠0]\frac{C}{0}\left\lbrack C\ne0\right\rbrack

Determinate

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0C[C≠0]\frac{0}{C}\left\lbrack C\ne0\right\rbrack

Determinate

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MxM_{x} (Total Moment of the whole system about the x-axis)

Mx=m1y1+m2y2+⋯+mnynM_{x}=m_1y_1+m_2y_2+\cdots+m_{n}y_{n}

M_{x}=\frac{\rho}{2}\int_{a}^{b}f\left(x\right)^2\differentialD x

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MyM_{y} (Total Moment of the whole system about the y-axis)

My=m1x1+m2x2+⋯+mnxnM_{y}=m_1x_1+m_2x_2+\cdots+m_{n}x_{n}

M_{y}=\rho\int_{a}^{b}xf\left(x\right)\differentialD x

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M (Sum of masses)

M =m1+m2+⋯+mn=m_1+m_2+\cdots+m_{n}

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The centroid

(x‾,y‾)\left(\overline{x},\overline{y}\right)

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x‾\overline{x}

x‾=MyM\overline{x}=\frac{M_{y}}{\char"39C }

\overline{x}=\frac{\int_{a}^{b}\!xf\left(x\right)\,dx}{\int_{a}^{b}f\left(x\right)\differentialD x}

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y‾\overline{y}

y‾=MxM\overline{y}=\frac{M_{x}}{\char"39C }

\overline{y}=\frac{\int_{a}^{b}f\left(x\right)^2\differentialD x}{2\int_{a}^{b}f\left(x\right)\differentialD x}

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If f is continuous on [a, ∞), then

\int_{a}^{\infty}f\left(x\right)\differentialD x=\lim_{t\to\infty}\int_{a}^{t}f\left(x\right)\differentialD x

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If f is continuous on (-∞, b], then

\int_{-\infty}^{b}f\left(x\right)\differentialD x=\lim_{t\to\infty}\int_{t}^{b}f\left(x\right)\differentialD x

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If f is continuous on (-∞, ∞), then

\int_{-\infty}^{\infty}f\left(x\right)\differentialD x=\int_{-\infty}^{c}f\left(x\right)\differentialD x+\int_{c}^{\infty}f\left(x\right)\differentialD x

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For p > 1

CONVERGES

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For p ≤ 1

DIVERGES

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If f is continuous on (a, b], but not continuous at a, then:

\int_{a}^{b}f\left(x\right)\differentialD x=\lim_{t\to a^{+}}\int_{t}^{b}f\left(x\right)\differentialD x

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If f is continuous on [a, b), but not continuous on b, then:

\int_{a}^{b}f\left(x\right)\differentialD x=\lim_{t\to b^{-}}\int_{a}^{t}f\left(x\right)\differentialD x

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If f is continuous on [a, c) ∪ (c, b], but not continuous on c in (a, b), then:

\int_{a}^{b}f\left(x\right)\differentialD x=\int_{a}^{c}f\left(x\right)\differentialD x+\int_{c}^{b}f\left(x\right)\differentialD x

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Every continuous random variable has a probability density function, f(x), satisfying (2):

  1. f(x)≥0f\left(x\right)\ge0

  2. \int_{-\infty}^{\infty}f\left(x\right)\differentialD x=1


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The probability that a continous random variable X lies b/w x=a and x=b is given by:

P\left(a\le x\le b\right)=\int_{a}^{b}f\left(x\right)\differentialD x

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Big formula for probability density function

0\le\int_{a}^{b}f\left(x\right)\differentialD x\le\int_{-\infty}^{\infty}f\left(x\right)\differentialD x=1

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Direct Comparison Test

If f(x) ≥ g(x) ≥ 0, then:

\int_{a}^{b}f\left(x\right)\differentialD x\ge\int_{a}^{b}g\left(x\right)\differentialD x\ge0

∫1∞1xp\int_1^{\infty}\frac{1}{x^{p}}; CONVERGES if pp>1, DIVERGES if pp≤1

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Simpson’s Rule Formula

Sn=[f(x0)+4f(x1)+2f(x2)+4f(x3)+⋯+2f(xn−2)+4f(xn−1)+f(xn)]S_{n}=\left\lbrack f\left(x_0\right)+4f\left(x_1)+2f\left(x_2\right)+4f\left(x_3\right)+\cdots+2f\left(x_{n-2}\right)+4f\left(x_{n-1}\right)+f\left(x_{n}\right)\right\rbrack\right.

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∫dua2+u2\int^{}\frac{du}{a^2+u^2}

1aarctan⁡(ua)+C\frac{1}{a}\arctan\left(\frac{u}{a}\right)+C

aa = constant

uu = variable

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∫dua2−u2\int_{}^{}\frac{du}{\sqrt{a^2-u^2}}

arcsin⁡(ua)+C\arcsin\left(\frac{u}{a}\right)+C

aa = constant

uu = variable

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∫duuu2−a2\int_{}^{}\frac{du}{u\sqrt{u^2-a^2}}

1aarcsec⁡(∣u∣a)+C\frac{1}{a}\operatorname{arcsec}\left(\frac{\left\vert u\right\vert}{a}\right)+C

aa = constant

uu = variable

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Condition for balance

m1d1 = m2d2

m = weight of mass

d = distance from the fulcrum (point where bar is being balanced on)

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y = sinx (graph)

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y = cosx (graph)

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y = tanx (graph)

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y = cotx (graph)

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y = ln(x) (graph)

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y = ex (graph)

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y = e-x (graph)

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y = arctanx (graph)

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y = secx (graph)

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y = cscx (graph)

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y = arcsecx (graph)

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y = arccosx (graph)

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y = arcsinx (graph)

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Mean

μ=∫−∞∞ ⁣f(x)⋅x dx\mu=\int_{-\infty}^{\infty}\!f\left(x\right)\cdot x\,dx, where xx is the weight of each probability

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Median

\int_0^{M}f\left(x\right)\differentialD x=\frac12, where MM = MedianMedian

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\int_{}^{}\sqrt{a^2-x^2}\differentialD x

x=asin⁡(θ)x=a\sin\left(\theta\right)

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\int_{}^{}\sqrt{a^2+x^2}\differentialD x

x=atan⁡(θ)x=a\tan\left(\theta\right)

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\int_{}^{}\sqrt{x^2-a^2}\differentialD x

x=asec⁡(θ)x=a\sec\left(\theta\right)