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Exponentials and Logarithms

------- | ---------- | ------------------------------------------------- | | AQA | Paper 1, 2 | Exponentials in P1;” date: 2025-06-02T16:25:28.480Z tags:

  • Maths
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  • Maths

Intuition

Exponentials describe growth that accelerates, logarithms describe growth that decelerates: If something grows at a rate proportional to its current size (bacteria, compound interest, radioactive decay), it follows an exponential curve. Logarithms are the inverse, they answer “how long does it take to reach this size?” They’re the mathematical tools for understanding anything that grows or decays.

Why it matters: Exponential growth explains population dynamics, compound interest, and viral spread. Logarithmic scales (pH, Richter, decibels) compress huge ranges into manageable numbers. Together, they’re essential for modelling natural and financial phenomena.

The key insight: The number ee is special because exe^x is its own derivative, ddxex=ex\frac{d}{dx}e^x = e^x. This makes it the natural choice for modelling continuous growth. When you see “continuous compounding” or “natural growth,” think ee. The natural logarithm ln⁡x\ln x is the inverse of exe^x, and its derivative 1x\frac{1}{x} is the simplest interesting derivative.

Board Coverage

BoardPaperNotes
AQAPaper 1, 2Exponentials in P1; modelling, natural logs in P2
EdexcelP1, P2Similar split
OCR (A)Paper 1, 2Includes exe^x and ln⁡x\ln x graphs
CIE (9709)P1, P2, P3Exponentials/logarithms in P1; further in P3

1. The Number ee

1.1 Definition of ee

Definition. The number ee is defined by the limit

e=lim⁡n→∞(1+1n)ne = \lim_{n\to\infty}\left(1+\frac{1}{n}\right)^n

To see that this limit converges, consider a sequence of values:

nn(1+1n)n\left(1+\frac{1}{n}\right)^n
12
22.25
102.5937…
1002.7048…
10002.7169…
100002.7181…
10610^62.71828…

The sequence is increasing and bounded above (by 3, as can be shown via the binomial theorem), so by the Monotone Convergence Theorem it converges. Its value is

e≈2.718281828459045...e \approx 2.718281828459045...

1.2 Alternative characterisations

The number ee can equivalently be characterised as the unique positive real number such that

ddxex∣x=0=1\frac{d}{dx}e^x \bigg|_{x=0} = 1

That is, the exponential function with base ee is its own derivative, the only exponential Function with this property. We prove this rigorously in the next section.


2. The Derivative of exe^x

2.1 Proof from the limit definition

Theorem. ddxex=ex\dfrac{d}{dx}e^x = e^x.

Proof. By the limit definition of the derivative:

ddxex=lim⁡h→0ex+h−exh=lim⁡h→0ex(eh−1)h=ex⋅lim⁡h→0eh−1h\frac{d}{dx}e^x = \lim_{h\to 0}\frac{e^{x+h}-e^x}{h} = \lim_{h\to 0}\frac{e^x(e^h - 1)}{h} = e^x \cdot \lim_{h\to 0}\frac{e^h - 1}{h}

So we need to show that lim⁡h→0eh−1h=1\displaystyle\lim_{h\to 0}\frac{e^h - 1}{h} = 1.

Let eh−1=te^h - 1 = t So that h=ln⁡(1+t)h = \ln(1+t). As h→0h \to 0 We have t→0t \to 0. Then:

lim⁡h→0eh−1h=lim⁡t→0tln⁡(1+t)=lim⁡t→01ln⁡(1+t)t\lim_{h\to 0}\frac{e^h - 1}{h} = \lim_{t\to 0}\frac{t}{\ln(1+t)} = \lim_{t\to 0}\frac{1}{\frac{\ln(1+t)}{t}}

We use the fundamental limit lim⁡t→0ln⁡(1+t)t=1\displaystyle\lim_{t\to 0}\frac{\ln(1+t)}{t} = 1 (which follows from The definition of ln⁡x\ln x as the area under 1/u1/u from 11 to 1+t1+t Plus the squeeze theorem on 1/(1+t)≤ln⁡(1+t)/t≤11/(1+t) \leq \ln(1+t)/t \leq 1). Therefore:

lim⁡h→0eh−1h=11=1\lim_{h\to 0}\frac{e^h - 1}{h} = \frac{1}{1} = 1

Hence ddxex=ex⋅1=ex\dfrac{d}{dx}e^x = e^x \cdot 1 = e^x. ■\blacksquare

2.2 Derivative of axa^x

For a general base a>0a \gt 0:

ddxax=ddxexln⁡a=(ln⁡a) exln⁡a=axln⁡a\frac{d}{dx}a^x = \frac{d}{dx}e^{x\ln a} = (\ln a)\, e^{x\ln a} = a^x \ln a

This follows immediately from the chain rule applied to exln⁡ae^{x\ln a}.

Intuition. The function exe^x is the unique function whose rate of change at any point equals Its value at that point. If a population of bacteria doubles every hour, its growth rate is Proportional to its current size, this is precisely the behaviour of ekte^{kt}. This is why ee Appears everywhere in nature: compound interest, radioactive decay, population dynamics, and cooling are all governed by exponential functions.


3. Logarithms as Inverses of Exponentials

3.1 Definition

Definition. For a>0a \gt 0, a≠1a \neq 1 The logarithm log⁡ax\log_a x is the inverse function of axa^x:

y=log⁡ax  ⟺  ay=xy = \log_a x \iff a^y = x

The natural logarithm is the logarithm with base ee Written ln⁡x=log⁡ex\ln x = \log_e x.

3.2 Proof that alog⁡ax=xa^{\log_a x} = x and log⁡a(ax)=x\log_a(a^x) = x

Theorem. For all a>0a \gt 0, a≠1a \neq 1 And all x>0x \gt 0:

(i)alog⁡ax=x(ii)log⁡a(ax)=x(\mathrm i)\quad a^{\log_a x} = x \qquad (\mathrm{ii})\quad \log_a(a^x) = x

Proof of (i). Let y=log⁡axy = \log_a x. By definition, ay=xa^y = x. Substituting y=log⁡axy = \log_a x: alog⁡ax=xa^{\log_a x} = x. ■\blacksquare

Proof of (ii). Let y=axy = a^x. Then log⁡ay=log⁡a(ax)\log_a y = \log_a(a^x). By definition of the logarithm as Inverse, log⁡a(ax)=x\log_a(a^x) = x. ■\blacksquare


4. Laws of Logarithms

4.1 Product law

Theorem. log⁡a(xy)=log⁡ax+log⁡ay\log_a(xy) = \log_a x + \log_a y

Proof. Let p=log⁡axp = \log_a x and q=log⁡ayq = \log_a y So ap=xa^p = x and aq=ya^q = y.

xy=ap⋅aq=ap+qxy = a^p \cdot a^q = a^{p+q}

Therefore log⁡a(xy)=p+q=log⁡ax+log⁡ay\log_a(xy) = p + q = \log_a x + \log_a y. ■\blacksquare

4.2 Quotient law

Theorem. log⁡a ⁣(xy)=log⁡ax−log⁡ay\log_a\!\left(\dfrac{x}{y}\right) = \log_a x - \log_a y

Proof. Similarly, with ap=xa^p = x and aq=ya^q = y:

xy=apaq=ap−q\frac{x}{y} = \frac{a^p}{a^q} = a^{p-q}

Therefore log⁡a(x/y)=p−q=log⁡ax−log⁡ay\log_a(x/y) = p - q = \log_a x - \log_a y. ■\blacksquare

4.3 Power law

Theorem. log⁡a(xn)=nlog⁡ax\log_a(x^n) = n\log_a x

Proof. Let p=log⁡axp = \log_a x So ap=xa^p = x. Then:

xn=(ap)n=apnx^n = (a^p)^n = a^{pn}

Therefore log⁡a(xn)=pn=nlog⁡ax\log_a(x^n) = pn = n\log_a x. ■\blacksquare


5. Change of Base Formula

Theorem. For all a,b>0a, b \gt 0 with a,b≠1a, b \neq 1:

log⁡ab=ln⁡bln⁡a=log⁡10blog⁡10a\log_a b = \frac{\ln b}{\ln a} = \frac{\log_{10} b}{\log_{10} a}

Proof. Let y=log⁡aby = \log_a b. Then ay=ba^y = b. Taking natural logarithms of both sides:

ln⁡(ay)=ln⁡b\ln(a^y) = \ln b yln⁡a=ln⁡by \ln a = \ln b y=ln⁡bln⁡ay = \frac{\ln b}{\ln a}

Since y=log⁡aby = \log_a b We have log⁡ab=ln⁡bln⁡a\log_a b = \dfrac{\ln b}{\ln a}. ■\blacksquare

Intuition. The change of base formula tells us that logarithms in different bases are just Constant multiples of each other. If you think of log⁡ax\log_a x as “how many times do I need to use Base aa to reach xx?”, then log⁡ab/log⁡ac\log_a b / \log_a c tells you the ratio of the “number of steps” in Base aa to reach bb versus cc. The formula shows this ratio is independent of aa.


6. The Natural Logarithm as an Area

6.1 Integral definition

Definition. The natural logarithm function is defined by:

ln⁡x=∫1x1t dt,x>0\ln x = \int_1^x \frac{1}{t}\, dt, \quad x > 0

This means ln⁡x\ln x is the signed area under the curve y=1/ty = 1/t from t=1t = 1 to t=xt = x.

6.2 Properties from the definition

From this definition, several properties follow immediately:

  • ln⁡1=0\ln 1 = 0 (the integral from 1 to 1 of any function is zero)
  • ln⁡x<0\ln x \lt 0 for 0<x<10 \lt x \lt 1 (negative area when integrating backwards)
  • ln⁡x>0\ln x \gt 0 for x>1x \gt 1 (positive area)
  • ln⁡x\ln x is strictly increasing (the integrand 1/t>01/t \gt 0)

6.3 Derivative of ln⁡x\ln x

ddxln⁡x=1x\frac{d}{dx}\ln x = \frac{1}{x}

This follows directly from the Fundamental Theorem of Calculus applied to the integral definition.

Intuition. Think of ln⁡x\ln x as measuring “how much area does 1/t1/t sweep out from 1 to xx?”. Since 1/t1/t decreases as tt grows, each additional unit of xx contributes less area. This is why ln⁡x\ln x grows so slowly, it takes e10≈22026e^{10} \approx 22026 to reach ln⁡x=10\ln x = 10.


7. Solving Exponential Equations

7.1 Equations of the form ax=ba^x = b

Method. Take logarithms of both sides:

ax=b  ⟹  xln⁡a=ln⁡b  ⟹  x=ln⁡bln⁡aa^x = b \implies x \ln a = \ln b \implies x = \frac{\ln b}{\ln a}

7.2 Equations of the form af(x)=bg(x)a^{f(x)} = b^{g(x)}

Take logarithms of both sides:

af(x)=bg(x)  ⟹  f(x)ln⁡a=g(x)ln⁡ba^{f(x)} = b^{g(x)} \implies f(x)\ln a = g(x)\ln b

This gives an equation in xx that can often be solved algebraically.

Example. Solve 32x+1=5x−23^{2x+1} = 5^{x-2}.

(2x+1)ln⁡3=(x−2)ln⁡52xln⁡3+ln⁡3=xln⁡5−2ln⁡52xln⁡3−xln⁡5=−2ln⁡5−ln⁡3X(2ln⁡3−ln⁡5)=−(2ln⁡5+ln⁡3)X=2ln⁡5+ln⁡3ln⁡5−2ln⁡3\begin{aligned} (2x+1)\ln 3 &= (x-2)\ln 5 \\ 2x\ln 3 + \ln 3 &= x\ln 5 - 2\ln 5 \\ 2x\ln 3 - x\ln 5 &= -2\ln 5 - \ln 3 \\ X(2\ln 3 - \ln 5) &= -(2\ln 5 + \ln 3) \\ X &= \frac{2\ln 5 + \ln 3}{\ln 5 - 2\ln 3} \end{aligned}

7.3 Equations reducible to quadratic form

Sometimes we can use a substitution. For example, e2x+3ex−4=0e^{2x} + 3e^x - 4 = 0.

Let u=exu = e^x (note u>0u \gt 0). Then u2+3u−4=0u^2 + 3u - 4 = 0 Giving (u+4)(u−1)=0(u+4)(u-1) = 0 So u=1u = 1 (rejecting u=−4u = -4). Hence ex=1e^x = 1 Giving x=0x = 0.


8. Exponential Modelling

8.1 Exponential growth

A quantity NN grows exponentially when

N=N0ekt,k>0N = N_0 e^{kt}, \quad k > 0

Where N0N_0 is the initial quantity and kk is the growth constant.

The doubling time TdT_d satisfies N0ekTd=2N0N_0 e^{kT_d} = 2N_0 So:

ekTd=2  ⟹  Td=ln⁡2ke^{kT_d} = 2 \implies T_d = \frac{\ln 2}{k}

8.2 Exponential decay

N=N0e−kt,k>0N = N_0 e^{-kt}, \quad k > 0

The half-life t1/2t_{1/2} satisfies N0e−kt1/2=N02N_0 e^{-kt_{1/2}} = \frac{N_0}{2} So:

e−kt1/2=12  ⟹  t1/2=ln⁡2ke^{-kt_{1/2}} = \frac{1}{2} \implies t_{1/2} = \frac{\ln 2}{k}

8.3 General exponential model

In many applications, the model N=A⋅bktN = A \cdot b^{kt} or N=A⋅ektN = A \cdot e^{kt} appears. Given two data Points, we can determine the parameters.

Example. A population is 500 at t=0t=0 and 2000 at t=6t=6 (hours). Assuming exponential growth N=N0ektN = N_0 e^{kt}:

\begin\{aligned\} N_0 &= 500 \\ 2000 &= 500 e^\{6k\} \\ 4 &= e^\{6k\} \\ 6k &= \ln 4 = 2\ln 2 \\ K &= \frac\{\ln 2\}\{3\} \end\{aligned\}

Doubling time: Td=ln⁡2k=ln⁡2ln⁡2/3=3T_d = \dfrac{\ln 2}{k} = \dfrac{\ln 2}{\ln 2 / 3} = 3 hours.


9. Graphs of Exponential and Logarithmic Functions

9.1 Key features of y=exy = e^x

  • Domain: (−∞,∞)(-\infty, \infty) Range: (0,∞)(0, \infty)
  • yy-intercept: (0,1)(0, 1)
  • Horizontal asymptote: y=0y = 0 (as x→−∞x \to -\infty)
  • Strictly increasing
  • Passes through (1,e)(1, e), (ln⁡2,2)(\ln 2, 2)

9.2 Key features of y=ln⁡xy = \ln x

  • Domain: (0,∞)(0, \infty) Range: (−∞,∞)(-\infty, \infty)
  • xx-intercept: (1,0)(1, 0)
  • Vertical asymptote: x=0x = 0
  • Strictly increasing
  • Passes through (e,1)(e, 1), (2,ln⁡2)(2, \ln 2)

9.3 Transformations

The graphs of y=e−xy = e^{-x} (reflection in yy-axis), y=ex+cy = e^{x} + c (vertical translation), and y=ln⁡(x−a)y = \ln(x-a) (horizontal translation) follow from standard transformation rules.

Intuition. The graphs of y=exy = e^x and y=ln⁡xy = \ln x are reflections of each other in the line y=xy = x Since they are inverse functions.

Explore the relationship between y=exy = e^x and y=ln⁡xy = \ln x as inverse functions Reflected in y=xy = x. Add transformations such as y=ex+cy = e^{x+c} and y=ln⁡(x−a)y = \ln(x - a) to see how they Shift the curves.

10. Logarithmic Differentiation

For functions of the form y=f(x)g(x)y = f(x)^{g(x)} Take logarithms first:

ln⁡y=g(x)ln⁡f(x)\ln y = g(x) \ln f(x)

Then differentiate implicitly:

1ydydx=g′(x)ln⁡f(x)+g(x)f′(x)f(x)\frac{1}{y}\frac{dy}{dx} = g'(x)\ln f(x) + \frac{g(x) f'(x)}{f(x)} dydx=f(x)g(x)[g′(x)ln⁡f(x)+g(x)f′(x)f(x)]\frac{dy}{dx} = f(x)^{g(x)}\left[g'(x)\ln f(x) + \frac{g(x) f'(x)}{f(x)}\right]

Problem Set

Problem 1Evaluate lim⁡n→∞(1+3n)n\displaystyle\lim_{n\to\infty}\left(1+\frac{3}{n}\right)^n.

Solution 1Let m=n/3m = n/3 So n=3mn = 3m. As n→∞n \to \infty, m→∞m \to \infty.

(1+3n)n=(1+1m)3m=[(1+1m)m]3→e3\left(1+\frac{3}{n}\right)^n = \left(1+\frac{1}{m}\right)^{3m} = \left[\left(1+\frac{1}{m}\right)^m\right]^3 \to e^3

If you get this wrong, revise: The Number ee, Section 1.1.

Problem 2Prove that ddx(e3x2)=6x e3x2\dfrac{d}{dx}(e^{3x^2}) = 6x\, e^{3x^2} using the chain rule.

Solution 2Let u=3x2u = 3x^2 So y=euy = e^u and dydu=eu\dfrac{dy}{du} = e^u, dudx=6x\dfrac{du}{dx} = 6x.

By the chain rule: dydx=dydu⋅dudx=eu⋅6x=6x e3x2\dfrac{dy}{dx} = \dfrac{dy}{du} \cdot \dfrac{du}{dx} = e^u \cdot 6x = 6x\, e^{3x^2}. ■\blacksquare

If you get this wrong, revise: The Derivative of exe^x, Section 2.

Problem 3Solve log⁡2(x+3)+log⁡2(x−1)=4\log_2(x+3) + \log_2(x-1) = 4.

Solution 3log⁡2[(x+3)(x−1)]=4  ⟹  (x+3)(x−1)=16\log_2[(x+3)(x-1)] = 4 \implies (x+3)(x-1) = 16x2+2x−3=16  ⟹  x2+2x−19=0x^2 + 2x - 3 = 16 \implies x^2 + 2x - 19 = 0x=−2±4+762=−2±802=−1±25x = \frac{-2 \pm \sqrt{4+76}}{2} = \frac{-2 \pm \sqrt{80}}{2} = -1 \pm 2\sqrt{5}

Domain: x>1x \gt 1 So x=−1+25x = -1 + 2\sqrt{5}.

If you get this wrong, revise: Laws of Logarithms, Section 4.

Problem 4Given log⁡a2=0.301\log_a 2 = 0.301 and log⁡a5=0.699\log_a 5 = 0.699 Find log⁡a200\log_a 200.

Solution 4log⁡a200=log⁡a(2×100)=log⁡a2+log⁡a100=log⁡a2+log⁡a(4×25)\log_a 200 = \log_a(2 \times 100) = \log_a 2 + \log_a 100 = \log_a 2 + \log_a(4 \times 25)=log⁡a2+2log⁡a2+2log⁡a5=3(0.301)+2(0.699)=0.903+1.398=2.301= \log_a 2 + 2\log_a 2 + 2\log_a 5 = 3(0.301) + 2(0.699) = 0.903 + 1.398 = 2.301

If you get this wrong, revise: Laws of Logarithms, Section 4.

Problem 5Solve 52x−6⋅5x+5=05^{2x} - 6 \cdot 5^x + 5 = 0.

Solution 5Let u=5xu = 5^x (u>0u \gt 0). Then u2−6u+5=0u^2 - 6u + 5 = 0 So (u−1)(u−5)=0(u-1)(u-5) = 0.

u=1u = 1: 5x=1  ⟹  x=05^x = 1 \implies x = 0. u=5u = 5: 5x=5  ⟹  x=15^x = 5 \implies x = 1.

If you get this wrong, revise: Solving Exponential Equations

  • Section 7.3.

Problem 6A radioactive substance decays with half-life 8 days. If initially there are 200g, find the mass after 25 days.

Solution 6Model: N=N0e−ktN = N_0 e^{-kt} where N0=200N_0 = 200.

Half-life: t1/2=ln⁡2k=8  ⟹  k=ln⁡28t_{1/2} = \dfrac{\ln 2}{k} = 8 \implies k = \dfrac{\ln 2}{8}.

N=200⋅e−25ln⁡2/8=200⋅2−25/8≈200⋅0.1146≈22.9gN = 200 \cdot e^{-25\ln 2/8} = 200 \cdot 2^{-25/8} \approx 200 \cdot 0.1146 \approx 22.9 \mathrm{ g}

If you get this wrong, revise: Exponential Modelling, Section 8.2.

Problem 7Differentiate y=xxy = x^x using logarithmic differentiation.

Solution 7ln⁡y=xln⁡x\ln y = x \ln x. Differentiating: 1ydydx=ln⁡x+x⋅1x=ln⁡x+1\dfrac{1}{y}\dfrac{dy}{dx} = \ln x + x \cdot \dfrac{1}{x} = \ln x + 1.

dydx=xx(ln⁡x+1)\frac{dy}{dx} = x^x(\ln x + 1)

If you get this wrong, revise: Logarithmic Differentiation, Section 10.

Problem 8Solve ln⁡(3x−1)=ln⁡(x+2)+ln⁡4\ln(3x-1) = \ln(x+2) + \ln 4.

Solution 8ln⁡(3x−1)=ln⁡[4(x+2)]  ⟹  3x−1=4x+8  ⟹  x=−9\ln(3x-1) = \ln[4(x+2)] \implies 3x - 1 = 4x + 8 \implies x = -9

Check domain: 3(−9)−1=−28<03(-9)-1 = -28 \lt 0 and −9+2=−7<0-9+2 = -7 \lt 0. Both logarithms undefined. No Solution.

If you get this wrong, revise: Solving Exponential Equations

  • Section 7.1, and always check the domain.

Problem 9Prove that log⁡ab⋅log⁡ba=1\log_a b \cdot \log_b a = 1 for all a,b>0a, b \gt 0, a,b≠1a, b \neq 1.

Solution 9By the change of base formula:

log⁡ab=ln⁡bln⁡a,log⁡ba=ln⁡aln⁡b\log_a b = \frac{\ln b}{\ln a}, \qquad \log_b a = \frac{\ln a}{\ln b}log⁡ab⋅log⁡ba=ln⁡bln⁡a⋅ln⁡aln⁡b=1■\log_a b \cdot \log_b a = \frac{\ln b}{\ln a} \cdot \frac{\ln a}{\ln b} = 1 \quad \blacksquare

If you get this wrong, revise: Change of Base Formula, Section 5.

Problem 10The temperature TT of a cooling object follows T=Ts+(T0−Ts)e−ktT = T_s + (T_0 - T_s)e^{-kt}. A cup of tea at 90∘C90^\circ\mathrm C is placed in a room at 20∘C20^\circ\mathrm C. After 10 minutes it is 60∘C60^\circ\mathrm C. Find kk and determine when the tea reaches 35∘C35^\circ\mathrm C.

Solution 10Ts=20T_s = 20, T0=90T_0 = 90. Model: T=20+70e−ktT = 20 + 70e^{-kt}.

At t=10t = 10: 60=20+70e−10k  ⟹  40=70e−10k  ⟹  e−10k=4/760 = 20 + 70e^{-10k} \implies 40 = 70e^{-10k} \implies e^{-10k} = 4/7.

−10k=ln⁡(4/7)  ⟹  k=ln⁡(7/4)10≈0.0560-10k = \ln(4/7) \implies k = \frac{\ln(7/4)}{10} \approx 0.0560

For T=35T = 35: 35=20+70e−kt  ⟹  15=70e−kt  ⟹  e−kt=3/1435 = 20 + 70e^{-kt} \implies 15 = 70e^{-kt} \implies e^{-kt} = 3/14.

−kt=ln⁡(3/14)  ⟹  t=ln⁡(14/3)k=10ln⁡(14/3)ln⁡(7/4)≈27.5minutes-kt = \ln(3/14) \implies t = \frac{\ln(14/3)}{k} = \frac{10\ln(14/3)}{\ln(7/4)} \approx 27.5 \mathrm{ minutes}

If you get this wrong, revise: Exponential Modelling, Section 8.

Problem 11Express y=e2x+3e−2xy = e^{2x} + 3e^{-2x} in the form y=2cosh⁡(2x)+cosh⁡(2x)y = 2\cosh(2x) + \cosh(2x) is not correct. Instead: Find the minimum value of y=e2x+3e−2xy = e^{2x} + 3e^{-2x}.

Solution 11dydx=2e2x−6e−2x=0  ⟹  2e2x=6e−2x  ⟹  e4x=3  ⟹  x=ln⁡34\dfrac{dy}{dx} = 2e^{2x} - 6e^{-2x} = 0 \implies 2e^{2x} = 6e^{-2x} \implies e^{4x} = 3 \implies x = \dfrac{\ln 3}{4}.

At x=ln⁡34x = \dfrac{\ln 3}{4}: e2x=eln⁡3/2=3e^{2x} = e^{\ln 3 / 2} = \sqrt{3}, e−2x=1/3e^{-2x} = 1/\sqrt{3}.

ymin⁡=3+33=3+3=23y_{\min} = \sqrt{3} + \frac{3}{\sqrt{3}} = \sqrt{3} + \sqrt{3} = 2\sqrt{3}

If you get this wrong, revise: Solving Exponential Equations And Section 2.2.

Problem 12Given ln⁡(x2+1)=2ln⁡x+ln⁡5\ln(x^2 + 1) = 2\ln x + \ln 5 Solve for xx.

Solution 12ln⁡(x2+1)=ln⁡(x2)+ln⁡5=ln⁡(5x2)\ln(x^2+1) = \ln(x^2) + \ln 5 = \ln(5x^2)x2+1=5x2  ⟹  4x2=1  ⟹  x2=14  ⟹  x=12x^2 + 1 = 5x^2 \implies 4x^2 = 1 \implies x^2 = \frac{1}{4} \implies x = \frac{1}{2}

Reject x=−1/2x = -1/2 since ln⁡x\ln x requires x>0x \gt 0.

If you get this wrong, revise: Laws of Logarithms, Section 4 and Domain restrictions.


Cross-References

  • Differentiation — The derivative of exe^x is exe^x itself, and logarithmic differentiation handles functions of the form f(x)g(x)f(x)^{g(x)}.
  • Integration — Integrating 1/x1/x yields ln⁡∣x∣\ln|x|, and exponential functions integrate to themselves.
  • Functions — Exponential and logarithmic functions are inverses of each other, a core concept in understanding function behaviour.
  • Proof — The irrationality of log⁡23\log_2 3 and similar results use proof by contradiction from this topic’s framework.