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Physics · Ch 2 — Mathematical Methods

Differential Calculus

2.6.1

Differential Calculus

Consider a function y=f(x)y = f(x), where xx is the independent variable and yy is the dependent variable — for example, xx could be the position of a particle and y=f(x)y=f(x) its velocity at that position.

Defining the derivative. Plotting yy against xx gives a curve. Let A and B be two points on the curve at x=x0x=x_0 and x=x0+Δxx=x_0+\Delta x, where Δx\Delta x is a small increment. The slope of the chord AB is ΔyΔx\dfrac{\Delta y}{\Delta x}. As Δx\Delta x is made smaller and smaller (the point B moving closer to A), in the limit Δx→0\Delta x\to0, the chord AB becomes the TANGENT to the curve at A. Although both Δx\Delta x and Δy\Delta y individually tend to zero in this limit, their RATIO need not — it tends to the slope of the tangent at x=x0x=x_0, called the derivative of yy with respect to xx at that point, written dydx\dfrac{dy}{dx} at x=x0x=x_0:

dydx=df(x)dx=lim⁡Δx→0f(x+Δx)−f(x)Δx— (2.25)\dfrac{dy}{dx} = \dfrac{df(x)}{dx} = \lim_{\Delta x\to0}\dfrac{f(x+\Delta x)-f(x)}{\Delta x} \qquad \text{--- (2.25)}

The process of finding a derivative is called differentiation.

Properties of differentiation. Let f1(x)f_1(x) and f2(x)f_2(x) be two functions of xx and let ss be a constant:

  1. ddx(sf(x))=sdf(x)dx\dfrac{d}{dx}\big(sf(x)\big) = s\dfrac{df(x)}{dx} --- (2.26)
  2. ddx(f1(x)+f2(x))=df1(x)dx+df2(x)dx\dfrac{d}{dx}\big(f_1(x)+f_2(x)\big) = \dfrac{df_1(x)}{dx}+\dfrac{df_2(x)}{dx} --- (2.27) (sum rule)
  3. ddx(f1(x) f2(x))=f1(x)df2(x)dx+f2(x)df1(x)dx\dfrac{d}{dx}\big(f_1(x)\,f_2(x)\big) = f_1(x)\dfrac{df_2(x)}{dx}+f_2(x)\dfrac{df_1(x)}{dx} --- (2.28) (product rule)
  4. ddx(f1(x)f2(x))=f2(x)df1(x)dx−f1(x)df2(x)dxf2(x)2\dfrac{d}{dx}\left(\dfrac{f_1(x)}{f_2(x)}\right) = \dfrac{f_2(x)\frac{df_1(x)}{dx}-f_1(x)\frac{df_2(x)}{dx}}{f_2(x)^2} --- (2.29) (quotient rule)
  5. If xx itself depends on another variable tt (chain rule): df(x)dt=df(x)dx⋅dxdt\dfrac{df(x)}{dt} = \dfrac{df(x)}{dx}\cdot\dfrac{dx}{dt} --- (2.30)

Standard derivatives.

ddx(xn)=nxn−1— (2.31)ddx(ex)=ex, ddx(eax)=aeax— (2.32)ddx(ln⁡x)=1x— (2.33)\dfrac{d}{dx}(x^n) = nx^{n-1} \quad \text{--- (2.31)} \qquad \dfrac{d}{dx}(e^x)=e^x,\ \dfrac{d}{dx}(e^{ax})=ae^{ax} \quad \text{--- (2.32)} \qquad \dfrac{d}{dx}(\ln x)=\dfrac1x \quad \text{--- (2.33)}

ddx(sin⁡x)=cos⁡x— (2.34)ddx(cos⁡x)=−sin⁡x— (2.35)ddx(tan⁡x)=sec⁡2x— (2.36)\dfrac{d}{dx}(\sin x)=\cos x \quad \text{--- (2.34)} \qquad \dfrac{d}{dx}(\cos x)=-\sin x \quad \text{--- (2.35)} \qquad \dfrac{d}{dx}(\tan x)=\sec^2x \quad \text{--- (2.36)} …

Figure 2.12Average and instantaneous rate of change of y with x

What this figure shows. Two-panel graph of y=f(x)y=f(x) plotted against xx. Panel (a) shows a curve with two marked points A and B on it, at x=x0x=x_0 and x=x0+Δxx=x_0+\Delta x respectively, connected by a straight chord line — the slope of this chord (marked with the angle it makes) represents the AVERAGE rate of change Δy/Δx\Delta y/\Delta x between A and B. Panel (b) shows the same curve with point B having moved to coincide with point A as Δx→0\Delta x\to0; the chord line has become a TANGENT line to the curve at point A (at x=x0x=x_0), extended on both sides as a line through points labelled P and Q, representing the INSTANTANEOUS rate of change dy/dxdy/dx at x=x0x=x_0 (the slope of the tangent PQ). No numeric axis values are printed; …

Misc Ex.2.10Derivatives of simple and combined functions

Worked out. Three short sub-parts, each asking for the derivative of a given function of xx: (a) f(x)=x8f(x)=x^8, a pure power function; (b) f(x)=x3+sin⁡xf(x)=x^3+\sin x, a sum of a power function and a trigonometric function; (c) f(x)=x3sin⁡xf(x)=x^3\sin x, a PRODUCT of a power function and a trigonometric function. The method applies, respectively, the basic power rule ddx(xn)=nxn−1\frac{d}{dx}(x^n)=nx^{n-1} for (a); the sum rule combined with the power rule and the standard sine derivative for (b); and the product rule combined with the power rule and sine derivative for (c) — the three sub-parts walk through the differentiatio …