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Chapter 6 · Application of Derivatives

Exercise 6.2 · Q2: Show that e2xe^{2x} is increasing on R\R

Exercise 6.2Increasing and decreasing functions · Section 6.3
The question

Show that the function given by f(x)=e2xf(x) = e^{2x} is increasing on R\R⁠.

Exam answer

f(x)=e2xf(x) = e^{2x}⁠, so f′(x)=2e2xf'(x) = 2e^{2x}⁠.

As e2x>0e^{2x} > 0⁠, f′(x)=2e2x>0f'(x) = 2e^{2x} > 0 for all x∈Rx \in \R⁠.

Hence ff is increasing on R\R⁠.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

Where the derivative is positive, the graph is climbing. The derivative of e2xe^{2x} is 2e2x2e^{2x}⁠, and an exponential is never zero or negative, so f′(x)>0f'(x) > 0 at every real xx⁠. Theorem 1, applied between any two inputs, then says the function is increasing on the whole line.

Given, to find, and the plan
Given
f(x)=e2xf(x) = e^{2x} for every real xx⁠.
To show
ff is increasing on R\R⁠: x1<x2⇒f(x1)≤f(x2)x_1 < x_2 \Rightarrow f(x_1) \le f(x_2) (Definition 1 (i)).
Plan
(1) Differentiate with the chain rule. (2) Show f′(x)>0f'(x) > 0 for every xx⁠. (3) Apply Theorem 1 on [x1,x2][x_1, x_2] for arbitrary x1<x2x_1 < x_2⁠. (4) Conclude, and note that the increase is in fact strict.

Basics you need

1Increasing and strictly increasing (Definition 1)

On an interval I, ff is increasing if x1<x2x_1 < x_2 gives f(x1)≤f(x2)f(x_1) \le f(x_2)⁠, and strictly increasing if it gives f(x1)<f(x2)f(x_1) < f(x_2)⁠, for all x1,x2x_1, x_2 in I. Strictly increasing implies increasing. Lesson: increasing and decreasing functions

2Derivative of an exponential, and the chain rule

ddt(et)=et\frac{d}{dt}(e^t) = e^t (Theorem 5, Section 5.4). For e2xe^{2x} the input is 2x2x⁠, not xx⁠, so we use the chain rule (Theorem 4): derivative of the outer function at the inner one, times the derivative of the inner one. Basics: the chain rule

3ete^t is always positive

e≈2.718>0e \approx 2.718 > 0⁠, and a positive number raised to any real power is positive: et>0e^t > 0 for every real tt⁠. The graph of ete^t lies entirely above the axis.

4The derivative test (Theorem 1)

If ff is continuous on [a,b][a, b]⁠, differentiable on (a,b)(a, b) and f′(x)≥0f'(x) \ge 0 on (a,b)(a, b)⁠, then ff is increasing on [a,b][a, b]⁠. The book's proof (Mean Value Theorem) shows that f′(x)>0f'(x) > 0 on (a,b)(a, b) gives strictly increasing. Basics: the derivative as a rate of change

Solution

  1. Differentiate with the chain rule

    Write f(x)=etf(x) = e^{t} with the inner function t=2xt = 2x and the outer function ete^{t}⁠. Then

    f′(x)=ddt(et)⋅dtdx=et⋅2=2e2x.\begin{aligned} f'(x) &= \frac{d}{dt}\left(e^{t}\right)\cdot\frac{dt}{dx}\\ &= e^{t}\cdot 2 = 2e^{2x}. \end{aligned}

    This holds at every real xx⁠: e2xe^{2x} is differentiable everywhere (so also continuous everywhere).

    The derivative of ete^t is ete^t only when we differentiate with respect to its own input tt⁠. Our input is 2x2x⁠, which changes twice as fast as xx⁠, so the chain rule brings in the factor dtdx=2\frac{dt}{dx} = 2⁠. Forgetting it gives e2xe^{2x}⁠, which happens to be positive too, but is the wrong derivative.
    Chain rule (Theorem 4, Section 5.3.1): dydx=dydt⋅dtdx\frac{dy}{dx} = \frac{dy}{dt}\cdot\frac{dt}{dx}⁠. Basics: the chain rule
  2. The derivative is positive everywhere

    For every real xx⁠, 2x2x is a real number, so e2x>0e^{2x} > 0⁠. Multiplying by the positive number 2 keeps it positive:

    f′(x)=2e2x>0for every x∈R.f'(x) = 2e^{2x} > 0 \quad\text{for every } x \in \R.
    This is the whole heart of the problem. There is no point where f′f' is zero or negative, so there is nothing to split up: no critical points, one interval, one sign.
    et>0e^t > 0 for all real tt (Basic 3), and a product of two positive numbers is positive. Basics: the sign of a product
  3. Apply Theorem 1 between any two inputs

    Let x1<x2x_1 < x_2 be any two real numbers. On [x1,x2][x_1, x_2] the function ff is continuous, it is differentiable on (x1,x2)(x_1, x_2)⁠, and f′(x)>0f'(x) > 0 there (Step 2). By Theorem 1 (a), ff is increasing on [x1,x2][x_1, x_2]⁠. The book's proof gives more: by the Mean Value Theorem there is a cc between x1x_1 and x2x_2 with

    f(x2)−f(x1)=f′(c) (x2−x1)=2e2c(x2−x1)>0,\begin{aligned} f(x_2) - f(x_1) &= f'(c)\,(x_2 - x_1)\\ &= 2e^{2c}(x_2 - x_1) > 0, \end{aligned}

    because both factors are positive. So f(x1)<f(x2)f(x_1) < f(x_2) whenever x1<x2x_1 < x_2⁠.

    Theorem 1 is stated for a closed interval [a,b][a, b]⁠. The question is about all of R\R⁠. Since every pair x1<x2x_1 < x_2 sits inside its own interval [x1,x2][x_1, x_2]⁠, applying the theorem there for an arbitrary pair settles every pair at once.
    The Mean Value Theorem, used in the book's proof of Theorem 1: if ff is continuous on [a,b][a, b] and differentiable on (a,b)(a, b)⁠, then f(b)−f(a)=f′(c)(b−a)f(b) - f(a) = f'(c)(b - a) for some cc in (a,b)(a, b)⁠. The book cites it as "Theorem 8 in Chapter 5", but this reprint's Chapter 5 does not contain it, so it is quoted here without proof. Lesson: increasing and decreasing functions
  4. Conclude

    x y −2 −1 1 2 4 6 8 (−1, 0.135) (0, 1) (1, 7.389)
    y=e2xy = e^{2x} stays above the xx-axis and climbs everywhere, slowly on the left and steeply on the right. Its slope 2e2x2e^{2x} is positive at every point.

    We have shown x1<x2⇒f(x1)<f(x2)x_1 < x_2 \Rightarrow f(x_1) < f(x_2) for all real x1,x2x_1, x_2⁠. So ff is strictly increasing on R\R (Definition 1 (iv)) and hence f(x)=e2xf(x) = e^{2x} is increasing on R\R.

    Strictly increasing gives f(x1)<f(x2)f(x_1) < f(x_2)⁠, and "<<" implies "≤\le", which is what Definition 1 (i) asks for.
Result

f′(x)=2e2x>0f'(x) = 2e^{2x} > 0 for every real xx⁠, so by Theorem 1 (applied on [x1,x2][x_1, x_2] for any x1<x2x_1 < x_2⁠) the function f(x)=e2xf(x) = e^{2x} is increasing on R\R⁠, in fact strictly increasing. (The answer key gives no answer for this "show that" question.)

Check it with numbers

f(−1)=e−2≈0.135335f(-1) = e^{-2} \approx 0.135335⁠, f(0)=1f(0) = 1⁠, f(0.5)=e≈2.718282f(0.5) = e \approx 2.718282⁠, f(1)=e2≈7.389056f(1) = e^{2} \approx 7.389056⁠: the values rise as xx rises. Slope check at x=0x = 0⁠: the central difference f(0.001)−f(−0.001)0.002\frac{f(0.001) - f(-0.001)}{0.002} is about 2.0000012.000001⁠, matching f′(0)=2e0=2f'(0) = 2e^{0} = 2⁠.

Common mistakes
  1. Writing f′(x)=e2xf'(x) = e^{2x}⁠. The chain rule factor 2 is missing. Here the conclusion survives, but the working is wrong and costs marks.
  2. Writing f′(x)=2x e2x−1f'(x) = 2x\,e^{2x-1}⁠. That treats e2xe^{2x} like a power xnx^n⁠. The variable is in the exponent, so the power rule does not apply.
  3. Not saying why 2e2x>02e^{2x} > 0⁠. The reason, "an exponential is always positive", is the key step and must be stated.
What to take away
  1. ekxe^{kx} with k>0k > 0 is strictly increasing on R\R⁠; with k<0k < 0 it is strictly decreasing (its derivative kekxke^{kx} has the sign of kk⁠).
  2. If f′>0f' > 0 at every point of an interval, there are no critical points to find: one sign, one conclusion.
  3. To use Theorem 1 on all of R\R⁠, apply it on [x1,x2][x_1, x_2] for arbitrary x1<x2x_1 < x_2⁠.

Every fact used, and where it comes from

FactUsed inSource
Increasing (≤\le⁠) and strictly increasing (<<⁠)Step 4Definition 1 (i), (iv), Section 6.3 (Lesson: increasing and decreasing functions)
ddt(et)=et\frac{d}{dt}(e^t) = e^tStep 1Theorem 5 (1), Section 5.4
Chain ruleStep 1Theorem 4, Section 5.3.1
et>0e^t > 0 for every real ttStep 2Section 5.4, observation (2) after Definition 3: the range of the exponential function is the set of positive reals
Derivative test and its Mean Value proofStep 3Theorem 1 (a) and its proof, Section 6.3
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