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Lesson 70 — Consolidation Term 7: Maxima, L'Hôpital, Taylor, Newton

Integrated Differential Calculus workshop applied: optimization, curve sketching, L'Hôpital's Rule, Taylor series, concavity, marginal analysis, kinematics, and Newton-Raphson. All techniques derive from local linearization.

Used in: Year 2 High School · Equivalent Japanese Math II/III Ch. 6–7 · Equivalent German Leistungskurs Differentialrechnung

f(x)k=0nf(k)(a)k!(xa)kf(x) \approx \sum_{k=0}^{n} \frac{f^{(k)}(a)}{k!}(x-a)^k

The Taylor series is the backbone of Term 7: it unifies optimization (f(a)=0f'(a)=0), L'Hôpital's Rule (ratio of linear approximations), curve sketching (sign of ff''), Newton-Raphson (tangent iteration), and marginal analysis (derivative as instantaneous rate of change). Every tool this term is a special case of this formula.

Choose your door

Rigorous notation, full derivation, hypotheses

Unified Theory: Linearization and Its Applications

The Mother Concept: Taylor Approximation

"The Taylor polynomial of degree nn centered at x=ax=a is the unique polynomial of degree nn that agrees with ff in value and in all its first nn derivatives at x=ax=a." — Active Calculus §8.4

Optimization: Critical Points and the Second Derivative Test

"Finding the maximum and minimum values of a function also has practical significance because we can use this method to solve optimization problems, such as increasing profit, minimizing cost, and maximizing area." — OpenStax Calculus Vol. 1 §4.3

Concavity and Inflection Points

L'Hôpital's Rule: Ratio of Linearizations

"L'Hôpital's Rule applies whenever both f(x)0f(x) \to 0 and g(x)0g(x) \to 0 as xax \to a, or whenever f(x)±f(x) \to \pm\infty and g(x)±g(x) \to \pm\infty." — OpenStax Calculus Vol. 1 §4.8

Idea via Taylor of Order 1. For a=0a = 0: f(x)f(0)xf(x) \approx f'(0) x and g(x)g(0)xg(x) \approx g'(0) x, so f(x)/g(x)f(0)/g(0)f(x)/g(x) \approx f'(0)/g'(0). L'Hôpital formalizes exactly this idea of a ratio of linearizations.

Newton-Raphson: Tangent Iteration

xyfx₀x₁Tangent at x₀ crosses the axis at x₁, which is a better approximation of the root

Newton-Raphson: the tangent to the curve at point x₀ crosses the axis at x₁, converging to the real root.

Unified Function Analysis Pipeline

Solved Examples

Exercise list

40 exercises · 10 with worked solution (25%)

15 15 2 5 3
  1. Ex. 70.1Answer key

    Find the critical points, local extrema, and inflection point of f(x)=x36x2+9x+1f(x) = x^3 - 6x^2 + 9x + 1.

    Show solution
    f(x)=3x212x+9=3(x1)(x3)f'(x) = 3x^2 - 12x + 9 = 3(x-1)(x-3). Critical points: x=1,x=3x=1, x=3. f(x)=6x12f''(x)=6x-12: f(1)=6<0f''(1)=-6<0 (local max), f(3)=6>0f''(3)=6>0 (local min). Inflection at x=2x=2 (f=0f''=0 changes sign).
    Show step-by-step (with the why)
    1. Calculate ff' and factor. Why: critical points are where f=0f'=0.
    2. Create a sign table for ff': positive on (,1)(-\infty,1), negative on (1,3)(1,3), positive on (3,+)(3,+\infty).
    3. Calculate ff'' and evaluate at critical points. Why: second derivative test confirms the nature of the extremum.
    4. Find inflection point: f(2)=0f''(2)=0 and ff'' changes sign at x=2x=2.

    Mnemonic: a cubic function with a positive leading coefficient always has a local maximum to the left and a local minimum to the right.

  2. Ex. 70.2

    Maximize f(x)=xexf(x) = xe^{-x} on [0,+)[0, +\infty). What is the absolute maximum?

    Show solution
    f(x)=exxex=ex(1x)f'(x)=e^{-x} - xe^{-x} = e^{-x}(1-x). Critical point: x=1x=1. f(1)=e1(11)+e1(1)=e1<0f''(1) = e^{-1}(1-1) + e^{-1}(-1) = -e^{-1} < 0: maximum. f(1)=1/ef(1)=1/e. At x=0x=0: f(0)=0f(0)=0. Absolute maximum at x=1x=1.
    Show step-by-step (with the why)
    1. Differentiate using the product rule: f(x)=1ex+x(ex)=ex(1x)f'(x) = 1\cdot e^{-x} + x\cdot(-e^{-x}) = e^{-x}(1-x).
    2. Since ex>0e^{-x}>0 always, the sign of ff' is the sign of (1x)(1-x). Critical point: x=1x=1.
    3. Sign table: f>0f'>0 on (0,1)(0,1), f<0f'<0 on (1,)(1,\infty) — maximum at x=1x=1.
    4. Compare with the boundary: f(0)=0<f(1)=1/e0.368f(0)=0 < f(1)=1/e \approx 0.368 and f(x)0f(x)\to 0 as xx\to\infty. Thus x=1x=1 is the absolute maximum.

    Curiosity: the function xexxe^{-x} models the Gamma probability distribution with parameter 2 — the mode of the distribution is exactly x=1x=1.

  3. Ex. 70.3

    Sketch f(x)=(x24)/xf(x) = (x^2 - 4)/x. Identify asymptotes, monotonicity, and concavity.

    Show solution
    f(x)=(x24)/x=x4/xf(x)=(x^2-4)/x = x - 4/x. Vertical asymptote: x=0x=0. Slant asymptote: y=xy=x. f(x)=1+4/x2>0f'(x)=1+4/x^2>0 always (no extrema). f(x)=8/x3f''(x)=-8/x^3: concave up on x<0x<0, concave down on x>0x>0. No zeros of the function in the domain.
  4. Ex. 70.4

    Find the absolute minimum of f(x)=x+4/xf(x) = x + 4/x on (0,+)(0, +\infty).

    Show solution
    f(x)=14/x2=0x=2f'(x)=1-4/x^2=0 \Rightarrow x=2 (in the domain (0,)(0,\infty)). f(x)=8/x3>0f''(x)=8/x^3>0: minimum. f(2)=2+4/2=4f(2)=2+4/2=4.
  5. Ex. 70.5Answer key

    A cylindrical can with V=1000 cm3V = 1000\ \text{cm}^3 must be constructed using minimal material. Determine the optimal radius and height.

    Show solution
    Cylindrical can: radius rr, height hh, V=πr2h=1000V = \pi r^2 h = 1000 cm³. Material S=2πr2+2πrh=2πr2+2000/rS = 2\pi r^2 + 2\pi r h = 2\pi r^2 + 2000/r. S(r)=4πr2000/r2=0r3=500/πr5.42S'(r)=4\pi r - 2000/r^2=0 \Rightarrow r^3=500/\pi \Rightarrow r\approx 5.42 cm; h=2r10.84h=2r\approx 10.84 cm (height = diameter is the classic result).
    Show step-by-step (with the why)
    1. Variables: rr (radius) and hh (height). Objective: minimize total area SS.
    2. Constraint: πr2h=1000\pi r^2 h = 1000, so h=1000/(πr2)h = 1000/(\pi r^2).
    3. Substitute into SS: S(r)=2πr2+2πr1000/(πr2)=2πr2+2000/rS(r) = 2\pi r^2 + 2\pi r \cdot 1000/(\pi r^2) = 2\pi r^2 + 2000/r.
    4. Differentiate and set to zero: S(r)=4πr2000/r2=04πr3=2000S'(r)=4\pi r - 2000/r^2=0 \Rightarrow 4\pi r^3=2000.
    5. Confirm minimum: S(r)=4π+4000/r3>0S''(r)=4\pi + 4000/r^3 > 0 always.

    Observation: universal result — a can of fixed volume with minimal material always has h=2rh = 2r (height equals diameter). Real beverage cans deviate due to manufacturing constraints.

  6. Ex. 70.6

    From a 20×30 cm20 \times 30\ \text{cm} piece of cardboard, squares of side xx are cut from the corners, and the flaps are folded up. What value of xx maximizes the volume of the box?

    Show solution
    V(x)=x(202x)(302x)V(x) = x(20-2x)(30-2x), x(0,10)x \in (0,10). V(x)=12x2200x+600=4(3x250x+150)=4(3x20)(x...)V'(x) = 12x^2 - 200x + 600 = 4(3x^2-50x+150)=4(3x-20)(x-...) . Roots: x=(50±25001800)/6=(50±700)/6x=(50\pm\sqrt{2500-1800})/6 = (50\pm \sqrt{700})/6. 70026.46\sqrt{700}\approx 26.46. Roots: x12.74x\approx 12.74 (outside domain) and x3.92x\approx 3.92. V(3.92)=3.9212.1622.161056V(3.92) = 3.92 \cdot 12.16 \cdot 22.16 \approx 1056 cm³.
  7. Ex. 70.7

    Find the point on the parabola y=x2y = x^2 closest to the point (3,0)(3, 0).

    Show solution
    See the referenced source for the detailed solution.
  8. Ex. 70.8Answer key

    A fence of 200 m200\ \text{m} is to enclose a rectangular area against a wall (the wall forms one side). Maximize the area.

    Show solution
    Length parallel to the wall: ll; width perpendicular: ww. Fencing: l+2w=200l + 2w = 200. Area: A=lw=(2002w)wA = lw = (200-2w)w. A(w)=2004w=0w=50,l=100A'(w)=200-4w=0 \Rightarrow w=50, l=100. A=5000A=5000 m².
  9. Ex. 70.9

    Determine the inflection points and concavity of f(x)=ex2f(x) = e^{-x^2}.

    Show solution
    f(x)=2xex2f'(x)=-2xe^{-x^2}. f(x)=2ex2+4x2ex2=2ex2(2x21)f''(x)=-2e^{-x^2}+4x^2e^{-x^2}=2e^{-x^2}(2x^2-1). f=0x=±1/2f''=0 \Rightarrow x=\pm 1/\sqrt{2}. Inflection points at x=±1/2±0.707x=\pm 1/\sqrt{2}\approx \pm 0.707. Concave up for x>1/2|x|>1/\sqrt{2}, concave down for x<1/2|x|<1/\sqrt{2}.
  10. Ex. 70.10

    Perform a complete sketch of f(x)=ln(1+x2)f(x) = \ln(1 + x^2): domain, symmetry, extrema, inflection points, asymptotic behavior.

    Show solution
    Domain: R\mathbb{R}. Even function. f(0)=0f(0)=0. limxf=+\lim_{|x|\to\infty}f=+\infty. f(x)=2x/(1+x2)f'(x)=2x/(1+x^2): negative for x<0x<0, zero at x=0x=0 (minimum, f(0)=0f(0)=0), positive for x>0x>0. f(x)=(22x2)/(1+x2)2f''(x)=(2-2x^2)/(1+x^2)^2: inflection points at x=±1x=\pm 1 (f(±1)=ln2f(\pm 1)=\ln 2).
  11. Ex. 70.11Answer key

    L'Hôpital's Rule applies directly to limx0sinx/x\lim_{x \to 0} \sin x / x (form 0/00/0). Which alternative describes a case where the rule does not directly apply?

    Select the correct option
    Select an option first
    Show solution
    limx0sinx/x\lim_{x\to 0} \sin x / x is indeed $0/0$ and L'Hôpital's Rule applies. But applying L'Hôpital's Rule to limx0x/sinx\lim_{x\to 0} x/\sin x yields $1/\cos x \to 1$ — the same answer. The "not applicable" option referred to the case limxπ/2tanx/x=/c\lim_{x\to\pi/2}\tan x / x = \infty/c, which is not an indeterminate form — option A is the most precise for that specific statement.
  12. Ex. 70.12

    Calculate limx01cosxx2\lim_{x \to 0} \dfrac{1 - \cos x}{x^2}.

    Show solution
    Form $0/0$. L'Hôpital's Rule: limx0sinx/(2x)=limcosx/2=1/2\lim_{x\to 0}\sin x / (2x) = \lim \cos x / 2 = 1/2.
    Show step-by-step (with the why)
    See the referenced source for the step-by-step walkthrough.
  13. Ex. 70.13

    Calculate limx+x2ex\lim_{x \to +\infty} \dfrac{x^2}{e^x}.

    Show solution
    Form $\infty/\infty$. Apply L'Hôpital's Rule twice: $\lim x^2/e^x = \lim 2x/e^x = \lim 2/e^x = 0$. The exponential function grows faster than any power function.
  14. Ex. 70.14

    Calculate limx0+xsinx\lim_{x \to 0^+} x^{\sin x} (indeterminate form 000^0).

    Show solution
    Form $0^0$. Rewrite: xsinx=esinxlnxx^{\sin x} = e^{\sin x \ln x}. Calculate limx0+sinxlnx=limx0+lnx/(1/sinx)\lim_{x\to 0^+}\sin x \ln x = \lim_{x\to 0^+}\ln x / (1/\sin x) — form $-\infty/\infty$. L'Hôpital's Rule: $(1/x)/(-\cos x/\sin^2 x) = -\sin^2 x/(x\cos x) \to 0$. Therefore xsinxe0=1x^{\sin x} \to e^0 = 1.
  15. Ex. 70.15

    Write the Maclaurin polynomial of sinx\sin x of order 5 (P5P_5).

    Show solution
    $\sin x = x - x^3/6 + x^5/120 - x^7/5040 + \cdots$. Up to order 5: $P_5(x) = x - x^3/3! + x^5/5! = x - x^3/6 + x^5/120$.
    Show step-by-step (with the why)
    1. Calculate the derivatives of $\sin x$ at $a=0$: f(0)=0,f(0)=1,f(0)=0,f(0)=1,f(4)(0)=0,f(5)(0)=1f(0)=0, f'(0)=1, f''(0)=0, f'''(0)=-1, f^{(4)}(0)=0, f^{(5)}(0)=1.
    2. Construct the polynomial: $P_5(x) = 0 + x - 0 - x^3/6 + 0 + x^5/120$.
    3. Simplify: $P_5(x) = x - x^3/6 + x^5/120$.

    Mnemonic: the derivatives of $\sin x$ cycle with period 4: $\sin, \cos, -\sin, -\cos, \sin, \ldots$. Only odd terms survive for $\sin x$, since $\cos(0)=1$ and $\sin(0)=0$.

  16. Ex. 70.16

    Use Taylor expansion to calculate limx0tanxsinxx3\lim_{x \to 0} \dfrac{\tan x - \sin x}{x^3}.

    Show solution
    $\tan x = x + x^3/3 + O(x^5)$ and $\sin x = x - x^3/6 + O(x^5)$. Numerator: $\tan x - \sin x = x^3/3 + x^3/6 + O(x^5) = x^3/2 + O(x^5)$. Limit: $x^3/(2x^3) = 1/2$.
  17. Ex. 70.17Answer key

    Approximate 1.1\sqrt{1.1} using the Maclaurin series of (1+x)1/2(1+x)^{1/2} up to order 3.

    Show solution
    (1+x)1/2=1+x/2x2/8+x3/16(1+x)^{1/2} = 1 + x/2 - x^2/8 + x^3/16 - \cdots (binomial series). For $x=0.1$: $P_3(0.1) = 1 + 0.05 - 0.00125 + 0.0000625 = 1.0488$. Exact value: 1.11.04881\sqrt{1.1} \approx 1.04881. Error: <105< 10^{-5}.
  18. Ex. 70.18

    Approximate e0.1e^{-0.1} with the Maclaurin polynomial of exe^x of order 3. Calculate the error.

    Show solution
    $e^x = 1 + x + x^2/2 + x^3/6 + O(x^4)$ for $x=-0.1$: $P_3(-0.1) = 1 - 0.1 + 0.005 - 0.000167 = 0.904833$. Exact value: e0.10.904837e^{-0.1} \approx 0.904837. Error: 4×1064 \times 10^{-6}.
  19. Ex. 70.19

    Calculate limx0xsinxx3\lim_{x \to 0} \dfrac{x - \sin x}{x^3} using Taylor series.

    Show solution
    $\sin x = x - x^3/6 + x^5/120 - \cdots$. So $\sin x - x = -x^3/6 + O(x^5)$. $(\sin x - x)/x^3 \to -1/6$. But the problem asks for $(x - \sin x)/x^3 \to 1/6$.
  20. Ex. 70.20

    Write the Maclaurin series for ln(1+x)\ln(1+x) up to the x5x^5 term.

    Show solution
    $\ln(1+x) = x - x^2/2 + x^3/3 - x^4/4 + x^5/5 - \cdots$. Series is valid for $|x| \leq 1, x \neq -1$.
  21. Ex. 70.21

    Calculate limx0excosxxx2\lim_{x \to 0} \dfrac{e^x - \cos x - x}{x^2} via Taylor series.

    Show solution
    $e^x = 1 + x + x^2/2 + \cdots$ and $\cos x = 1 - x^2/2 + x^4/24 + \cdots$. Numerator: $e^x - \cos x - x = x^2/2 + x^2/2 + O(x^3) = x^2 + O(x^3)$. Limit: $x^2/x^2 = 1$.
  22. Ex. 70.22

    What is the interval of convergence for the Maclaurin series of ln(1+x)\ln(1 + x)?

    Select the correct option
    Select an option first
    Show solution
    The Maclaurin series for $\ln(1+x)$ has a radius of convergence $R=1$. At $x=1$ it converges (alternating harmonic series) and at $x=-1$ it diverges (harmonic series). Thus it converges on $(-1,1]$.
  23. Ex. 70.23

    Write the Maclaurin polynomial P6(x)P_6(x) for cosx\cos x.

    Show solution
    $\cos x = 1 - x^2/2 + x^4/24 - x^6/720 + \cdots$. Up to order 6: $P_6(x) = 1 - x^2/2 + x^4/24 - x^6/720$.
  24. Ex. 70.24

    Calculate limx+(1+2x)x\lim_{x \to +\infty} \left(1 + \dfrac{2}{x}\right)^x (form 11^\infty).

    Show solution
    Form $1^\infty$. Write $L = \lim (1+2/x)^x$. $\ln L = \lim x \ln(1+2/x)$. Let $t=1/x \to 0^+$: $= \lim \ln(1+2t)/t$ (form $0/0$). L'Hôpital's Rule: $= \lim 2/(1+2t) = 2$. Therefore $L=e^2$.
  25. Ex. 70.25

    Cost C(q)=q2/4+5q+100C(q) = q^2/4 + 5q + 100 (Reais), price p=50p = 50 Reais/unit. Find the quantity qq^* and maximum profit π\pi^*.

    Show solution
    $\pi(q) = 50q - (q^2/4 + 5q + 100) = -q^2/4 + 45q - 100$. $\pi'(q) = -q/2 + 45 = 0 \Rightarrow q^*=90$. $\pi(90) = -2025 + 4050 - 100 = 1925$ Reais.
    Show step-by-step (with the why)
    See the referenced source for the step-by-step walkthrough.
  26. Ex. 70.26Answer key

    A monopolist faces demand q=1002pq = 100 - 2p and has cost C(q)=10qC(q) = 10q. Find qq^*, pp^*, and the maximum profit.

    Show solution
    See the referenced source for the detailed solution.
    Show step-by-step (with the why)
    1. Invert the demand function: $q=100-2p \Rightarrow p=(100-q)/2$. Why: to express revenue as a function of $q$.
    2. Revenue: $R(q)=pq=q(100-q)/2=-q^2/2+50q$.
    3. Profit: $\pi(q)=R-C=-q^2/2+50q-10q=-q^2/2+40q$.
    4. Condition for maximum: $\pi'=-q+40=0 \Rightarrow q^*=40$. Confirm: π=1<0\pi''=-1<0.
    5. Optimal price: $p^*=(100-40)/2=30$. Profit: $\pi(40)=-800+1600=800$.

    Mnemonic: the monopolist's condition is $MR=MC$: $MR=R'(q)=-q+50$ and $MC=C'(q)=10$, so $-q+50=10 \Rightarrow q=40$.

  27. Ex. 70.27

    A ball is thrown vertically upward with an initial velocity v0=20 m/sv_0 = 20\ \text{m/s} (g=10 m/s2g = 10\ \text{m/s}^2). Calculate the maximum height and the time of flight.

    Show solution
    $s(t)=20t-5t^2$ (with $g=10$ m/s²). $v(t)=20-10t=0 \Rightarrow t=2$ s. Max height: $s(2)=40-20=20$ m. Ground: $s(t)=0 \Rightarrow t(20-5t)=0 \Rightarrow t=4$ s.
  28. Ex. 70.28Answer key

    Given s(t)=t39t2+24ts(t) = t^3 - 9t^2 + 24t. When is v(t)=0v(t) = 0? Calculate the total distance traveled over 0t50 \leq t \leq 5.

    Show solution
    $v(t) = 3t^2 - 18t + 24 = 3(t-2)(t-4)$. $v=0$ at $t=2$ and $t=4$. Total distance: $|s(2)-s(0)|+|s(4)-s(2)|+|s(5)-s(4)|$. $s(0)=0, s(2)=8-36+48=20, s(4)=64-144+96=16, s(5)=125-225+120=20$. Distance: $20+4+4=28$ m.
    Show step-by-step (with the why)
    See the referenced source for the step-by-step walkthrough.
  29. Ex. 70.29

    Mass-spring system: m=0.5 kgm = 0.5\ \text{kg}, k=50 N/mk = 50\ \text{N/m}, amplitude A=0.1 mA = 0.1\ \text{m}. Calculate the period and the maximum velocity.

    Show solution
    Period: T=2πm/k=2π0.5/50=2π0.1=0.628T = 2\pi\sqrt{m/k} = 2\pi\sqrt{0.5/50} = 2\pi \cdot 0.1 = 0.628 s. Maximum velocity: vmax=Aω=Ak/m=0.1100=1v_{\max} = A\omega = A\sqrt{k/m} = 0.1\sqrt{100} = 1 m/s.
  30. Ex. 70.30

    Use Newton-Raphson on f(x)=x27f(x) = x^2 - 7 with x0=3x_0 = 3 to calculate 7\sqrt{7} to 5 decimal places.

    Show solution
    See the referenced source for the detailed solution.
  31. Ex. 70.31

    Use Newton-Raphson on f(x)=x32f(x) = x^3 - 2 with x0=1x_0 = 1 to approximate 23\sqrt[3]{2}. Perform 3 iterations.

    Show solution
    $f(x)=x^3-2$, $f'(x)=3x^2$, $x_0=1$. $x_1=1-(1-2)/3=1+1/3=1.333$. $x_2=1.333-(1.333^3-2)/(3\cdot 1.333^2)\approx 1.264$. $x_3\approx 1.25993$. Exact value: 21/31.259922^{1/3}\approx 1.25992.
    Show step-by-step (with the why)
    See the referenced source for the step-by-step walkthrough.
  32. Ex. 70.32

    Apply Newton-Raphson to f(x)=ex3xf(x) = e^x - 3x to find both real roots. Use x0=0x_0 = 0 for one and x0=1.5x_0 = 1.5 for the other.

    Show solution
    Roots of $e^x=3x$: one in $(0,1)$ (approx. $x_1\approx 0.619$) and another in $(1,2)$ (approx. $x_2\approx 1.512$). For each root, use a nearby $x_0$ and iterate.
  33. Ex. 70.33

    Kepler's equation is E0.3sinE=1E - 0.3\sin E = 1. Use Newton-Raphson with E0=1E_0 = 1 and perform 4 iterations.

    Show solution
    Kepler's equation: $E - 0.3\sin E = 1$. Rewrite: $f(E)=E-0.3\sin E - 1 = 0$. $f'(E)=1-0.3\cos E$. For $E_0=1$: $E_1=1-(1-0.3\sin 1-1)/(1-0.3\cos 1)=1-(-0.252)/(0.838)\approx 1.301$. $E_2\approx 1.351$. $E_3\approx 1.352$. $E_4\approx 1.352$ (converged).
  34. Ex. 70.34

    Show that a strictly convex (f>0f'' > 0) C2C^2 function on R\mathbb{R} has at most one minimum point.

    Show solution
    $f''\geq 0$ on all R\mathbb{R} implies $f$ is convex. If $f$ had two local minima $a$ and $b$, by the Mean Value Theorem there would exist $c \in (a,b)$ with f(c)<f(a)f(c) < f(a) and f(c)<f(b)f(c) < f(b). But convexity requires $f(c) \leq f(a) + (f(b)-f(a))/(b-a)\cdot(c-a)$. For a strictly convex function (f>0f''>0), only one global minimum exists.
  35. Ex. 70.35Answer key

    Use the Maclaurin series of sinx\sin x to prove that sinx<x\sin x < x for all x>0x > 0.

    Show solution
    $\sin x = x - x^3/6 + \cdots$. For x>0x>0: xsinx=x3/6x5/120+>0x - \sin x = x^3/6 - x^5/120 + \cdots > 0 since the first positive term dominates. Therefore sinx<x\sin x < x for all x>0x>0.
  36. Ex. 70.36

    Sketch f(x)=xxf(x) = x^x on (0,+)(0, +\infty). Find the minimum and analyze the behavior at the domain's extremes.

    Show solution
    See the referenced source for the detailed solution.
  37. Ex. 70.37

    Newton-Raphson applied to f(x)=arctanxf(x) = \arctan x with x0=2x_0 = 2 diverges. Explain geometrically why, and show numerically.

    Show solution
    See the referenced source for the detailed solution.
  38. Ex. 70.38Answer key

    Prove via Taylor series: if f(a)=0f'(a) = 0 and f(k)(a)f^{(k)}(a) is the first non-zero derivative at aa, then aa is an extremum if kk is even, and a saddle point/inflection point if kk is odd.

    Show solution
    Taylor expansion around $a$: f(x)=f(a)+f(a)(xa)+f(k)(a)/k!(xa)k+O((xa)k+1)f(x) = f(a) + f'(a)(x-a) + f^{(k)}(a)/k! \cdot (x-a)^k + O((x-a)^{k+1}) with f(a)==f(k1)(a)=0f'(a)=\cdots=f^{(k-1)}(a)=0 and f(k)(a)0f^{(k)}(a)\neq 0. For $x$ near $a$, the sign of $f(x)-f(a)$ is determined by f(k)(a)(xa)k/k!f^{(k)}(a)(x-a)^k/k!. If $k$ is even: (xa)k>0(x-a)^k > 0 for $x \neq a$, so $f(x)-f(a)$ has constant sign — an extremum. If $k$ is odd: $(x-a)^k$ changes sign — not an extremum (inflection point).
  39. Ex. 70.39

    Show, via Taylor of order 1, that limxaf(x)/g(x)=f(a)/g(a)\lim_{x\to a} f(x)/g(x) = f'(a)/g'(a) when f(a)=g(a)=0f(a) = g(a) = 0 and g(a)0g'(a) \neq 0.

    Show solution
    Substitute $f(x)\approx f'(a)(x-a)$ and $g(x)\approx g'(a)(x-a)$ (Taylor of order 1, with $f(a)=g(a)=0$). Then $f(x)/g(x) \approx f'(a)(x-a)/(g'(a)(x-a)) = f'(a)/g'(a)$ (assuming $g'(a)\neq 0$). This "proves" L'Hôpital's Rule as a corollary of Taylor of order 1 — the rigorous proof uses Cauchy's MVT.
  40. Ex. 70.40Answer key

    Formally derive the MR=MCMR = MC condition for maximum profit. Explain why a monopolist produces less than a competitive firm.

    Show solution
    See the referenced source for the detailed solution.

Sources

  • Active Calculus — Matt Boelkins, David Austin, Steve Schlicker · Grand Valley State University · 2024 · CC-BY-NC-SA. Sections §2.6 (L'Hôpital's Rule), §3.1–3.4 (optimization), §8.4–8.5 (Taylor series).
  • APEX Calculus — Gregory Hartman et al. · Virginia Military Institute · 2024 · CC-BY-NC. Chapters 3 (function analysis), 4 (applications), 6 (Newton's Method and applications), 8 (Taylor series).
  • Calculus Volume 1 — OpenStax (Strang, Herman et al.) · 2023 · CC-BY-NC-SA. Sections §4.3 (max-min), §4.7 (applied optimization), §4.8 (L'Hôpital's Rule), §4.9 (Newton's Method).

Updated on 2024-05-15 · Author(s): Clube da Matemática

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