Calculus: Rates of Change, Related Rates, Linear Approximations, Hyperbolic Functions, and the Mean Value Theorem

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Comprehensive vocabulary flashcards covering rates of change, related rates, linear approximations, differentials, hyperbolic functions and identities, inverse hyperbolic functions, Rolle's Theorem, and the Mean Value Theorem.

29 Terms

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Difference Quotient

The ratio ΔyΔx=f(x2)−f(x1)x2−x1\frac{\Delta y}{\Delta x} = \frac{f(x_2) - f(x_1)}{x_2 - x_1}, which represents the average rate of change of yy with respect to xx over the interval [x1,x2][x_1, x_2] and corresponds geometrically to the slope of the secant line PQPQ.

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Instantaneous Rate of Change

The limit of the average rate of change as Δx→0\Delta x \to 0, given by f′(x)=lim⁡Δx→0ΔyΔx=dydxf'(x) = \lim_{\Delta x \to 0} \frac{\Delta y}{\Delta x} = \frac{dy}{dx}, which represents the slope of the tangent line at P(x1,f(x1))P(x_1, f(x_1)).

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Instantaneous Velocity

For a particle moving in a straight line with position function s=f(t)s = f(t), the derivative of position with respect to time, defined as v(t)=dsdtv(t) = \frac{ds}{dt}, which represents the rate of change of displacement with respect to time.

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Acceleration

The derivative of velocity with respect to time, given by a(t)=v′(t)=s′′(t)a(t) = v'(t) = s''(t).

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Particle at Rest

The condition of a moving particle when its instantaneous velocity is zero, that is, v(t)=0v(t) = 0.

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Related Rates Problem

A problem where the idea is to compute the rate of change of one quantity in terms of the rate of change of another quantity.

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Linear Approximation (Tangent Line Approximation)

The approximation of a curve y=f(x)y = f(x) when xx is near aa using the tangent line at (a,f(a))(a, f(a)), written as f(x)≈f(a)+f′(a)(x−a)f(x) \approx f(a) + f'(a)(x - a).

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Linearization

The linear function whose graph is the tangent line to ff at aa, defined by L(x)=f(a)+f′(a)(x−a)L(x) = f(a) + f'(a)(x - a).

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Differential dxdx

For a differentiable function y=f(x)y = f(x), an independent variable that can be assigned any given real number value.

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Differential dydy

The dependent differential defined in terms of dxdx and the derivative of ff by the equation dy=f′(x) dxdy = f'(x)\,dx.

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Hyperbolic Sine Function (sinh⁡(x)\sinh(x))

The hyperbolic function defined by sinh⁡(x)=ex−e−x2\sinh(x) = \frac{e^x - e^{-x}}{2}, with domain (−∞,∞)(-\infty, \infty) and range (−∞,∞)(-\infty, \infty).

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Hyperbolic Cosine Function (cosh⁡(x)\cosh(x))

The hyperbolic function defined by cosh⁡(x)=ex+e−x2\cosh(x) = \frac{e^x + e^{-x}}{2}, with domain (−∞,∞)(-\infty, \infty) and range [1,∞)[1, \infty).

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Hyperbolic Tangent Function (tanh⁡(x)\tanh(x))

The hyperbolic function defined by tanh⁡(x)=sinh⁡(x)cosh⁡(x)=ex−e−xex+e−x\tanh(x) = \frac{\sinh(x)}{\cosh(x)} = \frac{e^x - e^{-x}}{e^x + e^{-x}}, with domain (−∞,∞)(-\infty, \infty) and range (−1,1)(-1, 1).

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Reciprocal Hyperbolic Functions

The functions defined as csch(x)=1sinh⁡(x)\text{csch}(x) = \frac{1}{\sinh(x)}, sech(x)=1cosh⁡(x)\text{sech}(x) = \frac{1}{\cosh(x)}, and coth⁡(x)=cosh⁡(x)sinh⁡(x)\coth(x) = \frac{\cosh(x)}{\sinh(x)}.

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Fundamental Hyperbolic Identity

The identity cosh⁡2(x)−sinh⁡2(x)=1\cosh^2(x) - \sinh^2(x) = 1.

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Hyperbolic Tangent-Secant Identity

The identity obtained by dividing cosh⁡2(x)−sinh⁡2(x)=1\cosh^2(x) - \sinh^2(x) = 1 by cosh⁡2(x)\cosh^2(x), given by 1−tanh⁡2(x)=sech2(x)1 - \tanh^2(x) = \text{sech}^2(x).

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Derivatives of sinh⁡(x)\sinh(x) and cosh⁡(x)\cosh(x)

The differentiation rules ddx(sinh⁡(x))=cosh⁡(x)\frac{d}{dx}(\sinh(x)) = \cosh(x) and ddx(cosh⁡(x))=sinh⁡(x)\frac{d}{dx}(\cosh(x)) = \sinh(x).

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Inverse Hyperbolic Sine Function (sinh⁡−1(x)\sinh^{-1}(x))

The inverse function defined by y=sinh⁡−1(x)  ⟺  sinh⁡(y)=xy = \sinh^{-1}(x) \iff \sinh(y) = x, having domain (−∞,∞)(-\infty, \infty) and range (−∞,∞)(-\infty, \infty), with logarithmic formula sinh⁡−1(x)=ln⁡(x+x2+1)\sinh^{-1}(x) = \ln(x + \sqrt{x^2 + 1}) for all x∈Rx \in \mathbb{R}.

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Inverse Hyperbolic Cosine Function (cosh⁡−1(x)\cosh^{-1}(x))

The inverse function defined by y=cosh⁡−1(x)  ⟺  cosh⁡(y)=xy = \cosh^{-1}(x) \iff \cosh(y) = x, having domain [1,∞)[1, \infty) and range [0,∞)[0, \infty), with logarithmic formula cosh⁡−1(x)=ln⁡(x+x2−1)\cosh^{-1}(x) = \ln(x + \sqrt{x^2 - 1}) for x≥1x \ge 1.

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Inverse Hyperbolic Tangent Function (tanh⁡−1(x)\tanh^{-1}(x))

The inverse function defined by y=tanh⁡−1(x)  ⟺  tanh⁡(y)=xy = \tanh^{-1}(x) \iff \tanh(y) = x, having domain (−1,1)(-1, 1) and range (−∞,∞)(-\infty, \infty), with logarithmic formula tanh⁡−1(x)=12ln⁡(1+x1−x)\tanh^{-1}(x) = \frac{1}{2}\ln\left(\frac{1 + x}{1 - x}\right) for −1<x<1-1 < x < 1.

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Derivative of sinh⁡−1(x)\sinh^{-1}(x)

The formula ddx(sinh⁡−1(x))=11+x2\frac{d}{dx}(\sinh^{-1}(x)) = \frac{1}{\sqrt{1 + x^2}}.

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Derivative of cosh⁡−1(x)\cosh^{-1}(x)

The formula ddx(cosh⁡−1(x))=1x2−1\frac{d}{dx}(\cosh^{-1}(x)) = \frac{1}{\sqrt{x^2 - 1}}.

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Derivative of tanh⁡−1(x)\tanh^{-1}(x)

The formula ddx(tanh⁡−1(x))=11−x2\frac{d}{dx}(\tanh^{-1}(x)) = \frac{1}{1 - x^2}.

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Rolle's Theorem

Let ff be a function that satisfies three hypotheses: (1) ff is continuous on the closed interval [a,b][a, b], (2) ff is differentiable on the open interval (a,b)(a, b), and (3) f(a)=f(b)f(a) = f(b). Then there exists a number cc in (a,b)(a, b) such that f′(c)=0f'(c) = 0.

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The Mean Value Theorem

Let ff be a function that satisfies: (1) ff is continuous on the closed interval [a,b][a, b], and (2) ff is differentiable on the open interval (a,b)(a, b). Then there exists a number cc in (a,b)(a, b) such that f′(c)=f(b)−f(a)b−af'(c) = \frac{f(b) - f(a)}{b - a}, or equivalently f(b)−f(a)=f′(c)(b−a)f(b) - f(a) = f'(c)(b - a).

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Geometric Interpretation of the Mean Value Theorem

There is at least one point (c,f(c))(c, f(c)) on the graph of ff where the slope of the tangent line is the same as the slope of the secant line passing through points A(a,f(a))A(a, f(a)) and B(b,f(b))B(b, f(b)).

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Main Significance of the Mean Value Theorem

It enables us to obtain information about a function from information about its derivative.

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Zero-Derivative Theorem (Section 4.2)

If f′(x)=0f'(x) = 0 for all xx in an interval (a,b)(a, b), then ff is constant on (a,b)(a, b).

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Equal Derivatives Corollary (Section 4.2)

If f′(x)=g′(x)f'(x) = g'(x) for all xx in an interval (a,b)(a, b), then f−gf - g is constant on (a,b)(a, b); that is, f(x)=g(x)+cf(x) = g(x) + c where cc is a constant.