Processing math: 2%

[Calculus] III. Derivatives

2019. 1. 16. 18:37








Derivatives


Definition 3.1.1.  The derivative of a function f at a number a, denoted by f(a), is


f(a)=lim


If x = a + h , then


\displaystyle f'(a) = \lim_{x \to a}\frac{f(x) - f(a)}{x - a}



Definition 3.1.2.  If we replace a by a variable x in Definition 3.1.1, we obtain


\displaystyle f'(x) = \lim_{h \to 0}\frac{f(x + h) - f(x)}{h}


Given any number x for which this limit exists, we assign to x the number f'(x) . So we can regard f' as a new function, called the derivative of f .


Remark 3.1.3.  If we use the traditional notation y = f(x) to indicate that the independent variable is x and the dependent variable is y , then some common alternative notations for the derivative are as follows:


\displaystyle f'(x) = y' = {\operatorname{d}\!y\over\operatorname{d}\!x} = {\operatorname{d}\!f\over\operatorname{d}\!x} = {\operatorname{d}\over\operatorname{d}\!x}f(x) = Df(x) = D_{x}f(x)


The symbols D and \displaystyle {\operatorname{d}\over\operatorname{d}\!x} are called differentiation operators because they indicate the operation of differentiation, which is the process of calculating a derivative. The symbol \displaystyle {\operatorname{d}\!y\over\operatorname{d}\!x} , which was introduced by Leibniz, should not be regarded as a ratio (for the time being); it is simply a synonym for f'(x) .

If we want to indicate the value of a derivative \displaystyle {\operatorname{d}\!y\over\operatorname{d}\!x} at a specific number a , we use the notation


\displaystyle {\operatorname{d}\!y\over\operatorname{d}\!x} \Bigg\vert_{\ x = a} \qquad \text{or} \qquad {\operatorname{d}\!y\over\operatorname{d}\!x} \Bigg]_{x = a}


which is a synonym for f'(a) .


Example 3.1.4.  If f(x) = x^{3} - x , find a formula for f'(x) .

Solution.

\displaystyle \begin{align} f'(x) &= \lim_{h \to 0}\frac{f(x + h) - f(x)}{h} = \lim_{h \to 0}\frac{[(x + h)^{3} - (x + h)] - [x^{3} - x]}{h} \\[7pt] &= \lim_{h \to 0}\frac{x^{3} + 3x^{2}h + 3xh^{2} + h^{3} - x - h - x^{3} + x}{h} \\[7pt] &= \lim_{h \to 0}\frac{3x^{2}h + 3xh^{2} + h^{3} - h}{h} \\[7pt] &= \lim_{h \to 0}(3x^{2} + 3xh + h^{2} - 1) = 3x^{2} - 1 \end{align}

\Box



Theorem 3.1.5.  The tangent line to the curve y = f(x) at the point P(a, f(a)) is the line through P with slope


\displaystyle m = \lim_{x \to a} \frac{f(x) - f(a)}{x - a}


provided that this limit exists. And if x = a + h , the slope of the tangent line is


\displaystyle m = \lim_{h \to 0} \frac{f(a + h) - f(a)}{h}



Figure 1


Remark 3.1.6.  We can now say that the tangent line to y = f(x) at (a, f(a)) is the line through (a, f(a)) whose slope is equal to f'(a) , the derivative of f at a . In other words,


\displaystyle m = \lim_{x \to a} \frac{f(x) - f(a)}{x - a} = f'(a)


Therefore, if we use the point-slope form of the equation of a line, we can write an equation of the tangent line to the curve y = f(x) at the point (a, f(a)) :


\displaystyle y - f(a) = f'(a)(x - a)



Definition 3.1.7.  A function f is differentiable at a if \displaystyle f'(a) = \lim_{x \to a}\frac{f(x) - f(a)}{x - a} exists. It is differentiable on an open interval (a,\ b) if it is differentiable at every number in the interval.



Theorem 3.1.8.  If f is differentiable at a , then f is continuous at a .


Proof.  To prove that f is continuous at a , we have to show that \displaystyle \lim_{x \to a}f(x) = f(a) . We do this by showing that the difference f(x) - f(a) approaches 0 .

The given information is that f is differentiable at a , that is,


\displaystyle f'(a) = \lim_{x \to a}\frac{f(x) - f(a)}{x - a}


exists. To connect the given and the unknown, we divide and multiply f(x) - f(a) by x - a (which we can do when x \neq a ) :


\displaystyle f(x) - f(a) = \frac{f(x) - f(a)}{x - a}(x - a)


Thus, we can write


\displaystyle \begin{align} \lim_{x \to a}\left[ f(x) - f(a) \right] &= \lim_{x \to a}\frac{f(x) - f(a)}{x - a}(x - a) \\[7pt] &= \lim_{x \to a}\frac{f(x) - f(a)}{x - a} \cdot \lim_{x \to a}(x - a) \\[7pt] &= f'(a) \cdot 0 = 0 \end{align}


Therefore,


\displaystyle \begin{align} \lim_{x \to a}f(x) &= \lim_{x \to a}\left[ f(a) + f(x) - f(a) \right] \\[7pt] &= \lim_{x \to a}f(a) + \lim_{x \to a}\left[ f(x) - f(a) \right] \\[7pt] &= f(a) + 0 = f(a) \end{align}


Thus, f is continuous at a .

\Box



Definition 3.1.9.  The second derivative of y = f(x) is


\displaystyle f''(x) = {\operatorname{d}\over\operatorname{d}\!x} \left( {\operatorname{d}\!y\over\operatorname{d}\!x} \right) = {\operatorname{d}^{2}\!y\over\operatorname{d}\!x^{2}}


The third derivative of y = f(x) is


\displaystyle f'''(x) = {\operatorname{d}\over\operatorname{d}\!x} \left( {\operatorname{d}^{2}\!y\over\operatorname{d}\!x^{2}} \right) = {\operatorname{d}^{3}\!y\over\operatorname{d}\!x^{3}}


\begin{matrix} \vdots \\[7pt] \end{matrix}


The n th derivative of y = f(x) is


\displaystyle f^{(n)}(x) = {\operatorname{d}^{n}\!y\over\operatorname{d}\!x^{n}}








Rates of Change


Definition 3.2.1.  Suppose y is a quantity that depends on another quantity x . Thus y is a function of x and we write y = f(x) . If x changes from x_1 to x_2 , then the change in x (also called the increment of x ) is


\Delta x = x_{2} - x_{1}


and the corresponding change in y is


\Delta y = f(x_{2}) - f(x_{1})



Definition 3.2.2.  The difference quotient


\displaystyle \frac{\Delta y}{\Delta x} = \frac{f(x_{2}) - f(x_{1})}{x_{2} - x_{1}}


is called the average rate of change of y with respect to x over the interval \left[ x_{1},\ x_{2} \right] . And the limit of the average rate of change


\displaystyle \lim_{\Delta x \to 0}\! \frac{\Delta y}{\Delta x} = \lim_{x_{2} \to x_{1}}\! \frac{f(x_{2}) - f(x_{1})}{x_{2} - x_{1}}


is called the (instantaneous) rate of change of y with respect to x at x = x_{1} .



Definition 3.2.3.  If s = f(t) is the position function of a moving object, the average velocity of the object from t = t_{0} to t = t_{0} + \Delta t is


\displaystyle v_{\text{av}} = \frac{s(t_{0} + \Delta t) - s(t_{0})}{\Delta t}


and the velocity (or instantaneous velocity) at time t = t_{0} is


\displaystyle v(t_{0}) = {\operatorname{d}\!s\over\operatorname{d}\!t} \Bigg\vert_{\ t = t_{0}} = \lim_{\Delta t \to 0}\!\frac{s(t_{0} + \Delta t) - s(t_{0})}{\Delta t}


and the acceleration at time t = t_{0} is


\displaystyle a(t_{0}) = {\operatorname{d}^{2}\!s\over\operatorname{d}\!t^{2}} \Bigg\vert_{\ t = t_{0}} = \lim_{\Delta t \to 0}\!\frac{v(t_{0} + \Delta t) - v(t_{0})}{\Delta t}


and the jerk at time t = t_{0} is


\displaystyle j(t_{0}) = {\operatorname{d}^{3}\!s\over\operatorname{d}\!t^{3}} \Bigg\vert_{\ t = t_{0}} = \lim_{\Delta t \to 0}\!\frac{a(t_{0} + \Delta t) - a(t_{0})}{\Delta t}


Example 3.2.4.  The position of a particle is given by the equation

\displaystyle s = f(t) = t^{3} - 6t^{2} + 9t

where t is measured in seconds and s in meters. Find the velocity at time t .

Solution.  The velocity function is the derivative of the position function.


\displaystyle v(t) = {\operatorname{d}\!s\over\operatorname{d}\!t} = 3t^{2} - 12t + 9

\Box






The body text and the figures were excerpted from James Stewart, Calculus 8E.




'Calculus' 카테고리의 다른 글

[Calculus] VI. Applications of Differentiation  (0) 2019.01.29
[Calculus] V. Linear Approximations and Differentials  (0) 2019.01.27
[Calculus] IV. Differentiation  (0) 2019.01.18
[Calculus] II. Continuity  (0) 2019.01.15
[Calculus] I. Limits  (0) 2018.10.11

+ Recent posts