Math 134/Unit 6.Week6 Exponential Growth and Decay, Linearization, Continuity, Intermediate Value Theorem, and Extrema

Overview of Differential Calculus Topics

  • Transition from Skill Building to Application:
    • Unit 5 focused on techniques for finding derivatives of all sorts of functions, including the product rule, quotient rule, chain rule, implicit differentiation, and logarithmic differentiation.
    • Unit 6 applies derivative techniques to analyze mathematical models and function properties, encompassing:
    • Natural laws of growth and decay
    • Linear approximations (tangent line approximations)
    • Continuity of a function f(x)f(x) at a point x=ax = a
    • The Intermediate Value Theorem (IVT)
    • Maxima and minima of functions

Natural Laws of Growth and Decay

  • Differential Equations and Solutions:
    • Natural Law of Growth:
    • Differential Equation: P′(t)=kP(t)P'(t) = kP(t) with initial condition P(0)=P0P(0) = P_0
    • Solution: P(t)=P0ektP(t) = P_0 e^{kt}
    • Relative Growth Rate: P′(t)P(t)=k\frac{P'(t)}{P(t)} = k
    • Natural Law of Decay:
    • Differential Equation: m′(t)=−αm(t)m'(t) = -\alpha m(t) with initial condition m(0)=m0m(0) = m_0
    • Solution: m(t)=m0e−αtm(t) = m_0 e^{-\alpha t}
    • Half-Life Formula: t12=ln⁡(2)αt_{\frac{1}{2}} = \frac{\ln(2)}{\alpha}

Summary table of differential equations and solutions for natural laws of growth and decay

  • Application Problems and Solved Questions:
    • Question 6.1: E. coli Growth:
    • Problem Statement: The growth of E. coli bacteria in a petri dish can be described by a natural law of growth. The relative growth rate is 120\frac{1}{20} per minute, and the initial condition is P(0)=60P(0) = 60 cells. Write down the law of natural growth for the E. coli population and find its solution. Find the time at which the bacterial population will have doubled (doubling time).
    • Differential Equation: P′(t)=120P(t)P'(t) = \frac{1}{20}P(t) with P(0)=60P(0) = 60
    • Solution: P(t)=60e120tP(t) = 60 e^{\frac{1}{20}t}
    • Doubling Time Calculation:
      • Set P(t)=2×60=120P(t) = 2 \times 60 = 120
      • 60e120t=120  ⟹  e120t=260 e^{\frac{1}{20}t} = 120 \implies e^{\frac{1}{20}t} = 2
      • 120t=ln⁡(2)  ⟹  t=20ln⁡(2) minutes\frac{1}{20}t = \ln(2) \implies t = 20 \ln(2) \text{ minutes}
    • Question 6.2: Exponential Decay:
    • Problem Statement: Strontium 90 has a half-life of 2828 days. Write down a model for the radioactive decay of strontium with an initial mass of m0m_0
    • Decay Rate Constant α\alpha Calculation:
      • 28=ln⁡(2)α  ⟹  α=ln⁡(2)2828 = \frac{\ln(2)}{\alpha} \implies \alpha = \frac{\ln(2)}{28}
    • Differential Equation: m′(t)=−(ln⁡(2)28)m(t)m'(t) = -\left(\frac{\ln(2)}{28}\right) m(t) with m(0)=m0m(0) = m_0
    • Solution Model: m(t)=m0e−(ln⁡(2)28)t=m0(12)t28m(t) = m_0 e^{-\left(\frac{\ln(2)}{28}\right)t} = m_0 \left(\frac{1}{2}\right)^{\frac{t}{28}}

Linear Approximations and Linearization

  • Theoretical Foundations:

    • The tangent line to the graph of y=f(x)y = f(x) at a given point (a,f(a))(a, f(a)) provides a linear approximation to the function for xx near aa
    • Linearization Formula: The function L(x)=f(a)+f′(a)(x−a)L(x) = f(a) + f'(a)(x - a) is called the linearization of ff at aa
  • Linearization Questions and Applications:

    • Question 6.3: Linearization of Polynomial Function:
    • Problem Statement: Find the linearization L(x)L(x) of the function f(x)=x4+3x2f(x) = x^4 + 3x^2 at a=−1a = -1
    • Step 1: Compute f(−1)=(−1)4+3(−1)2=1+3=4f(-1) = (-1)^4 + 3(-1)^2 = 1 + 3 = 4
    • Step 2: Compute derivative f′(x)=4x3+6xf'(x) = 4x^3 + 6x
    • Step 3: Compute slope at a=−1a = -1: f′(−1)=4(−1)3+6(−1)=−4−6=−10f'(-1) = 4(-1)^3 + 6(-1) = -4 - 6 = -10
    • Step 4: Construct L(x)=4+(−10)(x−(−1))=4−10(x+1)=−10x−6L(x) = 4 + (-10)(x - (-1)) = 4 - 10(x + 1) = -10x - 6
    • Answer Options:
      • (a) L(x)=−5x+3L(x) = -5x + 3
      • (b) L(x)=−10x+6L(x) = -10x + 6
      • (c) L(x)=−10x−6L(x) = -10x - 6 (Correct)
      • (d) L(x)=−5x−3L(x) = -5x - 3
    • Question 6.4: Linear Approximation of Exponential Function:
    • Problem Statement: Consider the function f(x)=e−(x−2)2f(x) = e^{-(x-2)^2}
      1. Find the linear approximation L(x)L(x) at the point a=1a = 1
      2. Use the linearization to approximate the value e−0.81e^{-0.81}
    • Solution Part 1:
      • Evaluate f(1)=e−(1−2)2=e−(−1)2=e−1f(1) = e^{-(1-2)^2} = e^{-(-1)^2} = e^{-1}
      • Differentiate f′(x)=e−(x−2)2⋅(−2(x−2))=−2(x−2)e−(x−2)2f'(x) = e^{-(x-2)^2} \cdot (-2(x-2)) = -2(x-2)e^{-(x-2)^2}
      • Evaluate slope f′(1)=−2(1−2)e−1=2e−1f'(1) = -2(1-2)e^{-1} = 2e^{-1}
      • Form linearization L(x)=e−1+2e−1(x−1)=e−1(1+2x−2)=e−1(2x−1)L(x) = e^{-1} + 2e^{-1}(x - 1) = e^{-1}(1 + 2x - 2) = e^{-1}(2x - 1)
    • Solution Part 2:
      • Identify xx such that −(x−2)2=−0.81  ⟹  (x−2)2=0.81  ⟹  x−2=−0.9  ⟹  x=1.1-(x-2)^2 = -0.81 \implies (x-2)^2 = 0.81 \implies x - 2 = -0.9 \implies x = 1.1
      • Approximate value: f(1.1)≈L(1.1)=e−1(2(1.1)−1)=e−1(2.2−1)=1.2e−1=1.2ef(1.1) \approx L(1.1) = e^{-1}(2(1.1) - 1) = e^{-1}(2.2 - 1) = 1.2e^{-1} = \frac{1.2}{e}
    • Question 6.5: Linearization of Logarithmic Function:
    • Problem Statement: Find the linearization L(x)L(x) of f(x)=ln⁡(x)f(x) = \ln(x) at a=1a = 1, and estimate ln⁡(1.2)\ln(1.2)
    • Step 1: Compute f(1)=ln⁡(1)=0f(1) = \ln(1) = 0
    • Step 2: Compute f′(x)=1x  ⟹  f′(1)=1f'(x) = \frac{1}{x} \implies f'(1) = 1
    • Step 3: Form L(x)=0+1(x−1)=x−1L(x) = 0 + 1(x - 1) = x - 1
    • Options:
      • (a) L(x)=x−1L(x) = x - 1 (Correct)
      • (b) L(x)=−x−1L(x) = -x - 1
      • (c) L(x)=x+1L(x) = x + 1
      • (d) L(x)=−x+1L(x) = -x + 1
    • Estimation: ln⁡(1.2)≈L(1.2)=1.2−1=0.2\ln(1.2) \approx L(1.2) = 1.2 - 1 = 0.2

Continuity of Functions

  • Formal Definitions:

    • Definition 1 (At a Point): Function f(x)f(x) is continuous at aa if lim⁡x→af(x)=f(a)\lim_{x \to a} f(x) = f(a)
    • This requires three conditions:
      1. f(a)f(a) is defined (aa is in the domain of ff)
      2. lim⁡x→af(x)\lim_{x \to a} f(x) exists
      3. lim⁡x→af(x)=f(a)\lim_{x \to a} f(x) = f(a)
    • Definition 2 (On an Open Interval): Function f(x)f(x) is continuous on (a,b)(a, b) if f(x)f(x) is continuous at every point in (a,b)(a, b)
    • Definition 3 (On a Closed Interval): Function f(x)f(x) is continuous on [a,b][a, b] if it is continuous on (a,b)(a, b), continuous from the right at aa (lim⁡x→a+f(x)=f(a)\lim_{x \to a^+} f(x) = f(a)), and continuous from the left at bb (lim⁡x→b−f(x)=f(b)\lim_{x \to b^-} f(x) = f(b))
  • Types of Discontinuities:

    • Infinite Discontinuity: Occurs where the magnitude of the function approaches infinity as x→ax \to a
    • Jump Discontinuity: Occurs where the left-hand limit and right-hand limit exist as finite numbers but are unequal: lim⁡x→a−f(x)≠lim⁡x→a+f(x)\lim_{x \to a^-} f(x) \neq \lim_{x \to a^+} f(x)
    • Removable Discontinuity: Occurs where lim⁡x→af(x)\lim_{x \to a} f(x) exists, but either f(a)f(a) is undefined or lim⁡x→af(x)≠f(a)\lim_{x \to a} f(x) \neq f(a)
  • Continuity Rules for Fundamental Functions:

    • Polynomials are continuous on R\mathbb{R}
    • Rational functions are continuous on their domain
    • Trigonometric functions are continuous on their domain
    • Root functions are continuous on their domain
    • Exponential functions are continuous on R\mathbb{R}
    • Logarithmic functions are continuous on (0,∞)(0, \infty)
    • If f(x)f(x) and g(x)g(x) are continuous at aa, then f+gf + g, f−gf - g, cfc f (for constant cc), and f⋅gf \cdot g are continuous at aa. The quotient fg\frac{f}{g} is continuous at aa provided g(a)≠0g(a) \neq 0
    • Composite Functions: If g(x)g(x) is continuous at aa and f(x)f(x) is continuous at g(a)g(a), then f(g(x))f(g(x)) is continuous at aa
  • Continuity Questions:

    • Question 6.6: Discontinuity Analysis:
    • Evaluates left-hand and right-hand limits at points of discontinuity to determine left-continuity (lim⁡x→a−f(x)=f(a)\lim_{x \to a^-} f(x) = f(a)) or right-continuity (lim⁡x→a+f(x)=f(a)\lim_{x \to a^+} f(x) = f(a))
    • Question 6.7: Continuity of Trigonometric Quotient:
    • Problem Statement: Decide if f(x)=11−sin⁡(x)f(x) = \frac{1}{1 - \sin(x)} is continuous or discontinuous at a=2πa = 2\pi
    • Evaluation: sin⁡(2π)=0  ⟹  f(2π)=11−0=1\sin(2\pi) = 0 \implies f(2\pi) = \frac{1}{1 - 0} = 1. The limit lim⁡x→2πf(x)=1=f(2π)\lim_{x \to 2\pi} f(x) = 1 = f(2\pi)
    • Options:
      • (A) continuous (Correct)
      • (B) removable discontinuity
      • (C) jump discontinuity
      • (D) infinite discontinuity
    • Question 6.8: Parameter for Piecewise Continuity:
    • Problem Statement: For which values of bb is the function continuous at a=1a = 1?       f(x)={x0≤x≤12x−b1<xf(x) = \begin{cases} \sqrt{x} & 0 \le x \le 1 \\ 2x - b & 1 < x \end{cases}
    • Evaluation: Left-hand limit f(1)=1=1f(1) = \sqrt{1} = 1. Right-hand limit lim⁡x→1+(2x−b)=2−b\lim_{x \to 1^+} (2x - b) = 2 - b. Equating limits: 1=2−b  ⟹  b=11 = 2 - b \implies b = 1
    • Options:
      • (A) b=0b = 0
      • (B) b=−1b = -1
      • (C) b=2b = 2
      • (D) b=1b = 1 (Correct)
    • Question 6.9: Continuity Domain of Composite Radical Function:
    • Problem Statement: Where is the function h(x)=xx−3h(x) = \sqrt{\frac{x}{x - 3}} continuous?
    • Analysis:
      • Denominator non-zero: x≠3x \neq 3
      • Non-negative radicand: xx−3≥0\frac{x}{x - 3} \ge 0
      • Sign testing yields intervals (−∞,0](-\infty, 0] and (3,∞)(3, \infty)
    • Options:
      • (a) [3,∞)[3, \infty)
      • (b) (3,∞)(3, \infty)
      • (c) (−∞,0)∪(3,∞)(-\infty, 0) \cup (3, \infty) (Correct option listed)
      • (d) (0,∞)(0, \infty)

The Intermediate Value Theorem

  • Theorem Statement:
    • Suppose ff is continuous on a closed interval [a,b][a, b] where f(a)≠f(b)f(a) \neq f(b). Let NN be any number between f(a)f(a) and f(b)f(b). Then there exists at least one c∈[a,b]c \in [a, b] with f(c)=Nf(c) = N

Theorem box statement for the Intermediate Value Theorem

  • Existence of a Zero Corollary:

    • If f(x)f(x) is continuous on [a,b][a, b] and f(a)⋅f(b)<0f(a) \cdot f(b) < 0 (opposite signs at endpoints), then f(x)f(x) has at least one zero in [a,b][a, b] (or (a,b)(a, b)), meaning f(c)=0f(c) = 0 for some c∈(a,b)c \in (a, b)
  • Intermediate Value Theorem Solved Questions:

    • Question 6.10: Root Existence Proof:
    • Problem Statement: Use the Intermediate Value Theorem to show that xln⁡(x)=xx \ln(x) = x has a solution in the interval (1,e2)(1, e^2)
    • Proof:
      • Define f(x)=xln⁡(x)−xf(x) = x \ln(x) - x, which is continuous on [1,e2][1, e^2]
      • Evaluate endpoint values:
      • f(1)=1ln⁡(1)−1=0−1=−1<0f(1) = 1 \ln(1) - 1 = 0 - 1 = -1 < 0
      • f(e2)=e2ln⁡(e2)−e2=2e2−e2=e2>0f(e^2) = e^2 \ln(e^2) - e^2 = 2e^2 - e^2 = e^2 > 0
      • Since f(1)<0<f(e2)f(1) < 0 < f(e^2) and ff is continuous, by IVT there exists at least one c∈(1,e2)c \in (1, e^2) such that f(c)=0  ⟹  cln⁡(c)=cf(c) = 0 \implies c \ln(c) = c
    • Question 6.11: Conceptual IVT Application:
    • Problem Statement: True or False. You were once exactly 3 feet tall.
    • Answer: True (a). Height as a function of time h(t)h(t) is continuous. Assuming birth height is under 3 feet and present adult height is over 3 feet, by IVT there must exist a time tt where h(t)=3 feeth(t) = 3\text{ feet}
    • Question 6.12: Equation Solution Proof:
    • Problem Statement: Use the Intermediate Value Theorem to show that there is a solution of sin⁡(x)=x2−x\sin(x) = x^2 - x in the specified interval (1,2)(1, 2)
    • Proof:
      • Define f(x)=sin⁡(x)−x2+xf(x) = \sin(x) - x^2 + x, which is continuous on [1,2][1, 2]
      • Evaluate endpoints:
      • f(1)=sin⁡(1)−12+1=sin⁡(1)>0f(1) = \sin(1) - 1^2 + 1 = \sin(1) > 0
      • f(2)=sin⁡(2)−22+2=sin⁡(2)−2<0f(2) = \sin(2) - 2^2 + 2 = \sin(2) - 2 < 0
      • Since f(2)<0<f(1)f(2) < 0 < f(1) and ff is continuous on [1,2][1, 2], by IVT there exists at least one c∈(1,2)c \in (1, 2) such that f(c)=0  ⟹  sin⁡(c)=c2−cf(c) = 0 \implies \sin(c) = c^2 - c

Extreme Values and Critical Numbers

  • Extrema Theorems:

    • Extreme Value Theorem: A continuous function ff on a closed interval [a,b][a, b] has an absolute maximum and an absolute minimum
    • Fermat's Theorem: If (c,f(c))(c, f(c)) is a local maximum or local minimum, then cc is a critical number
    • Critical Numbers: A critical number of a function ff is a number cc in the domain of ff such that either f′(c)=0f'(c) = 0 or f′(c)f'(c) does not exist
  • Finding Critical Numbers:

    • Question 6.13: Critical Numbers with Fractional Exponents:
    • Problem Statement: Find the critical number of the function h(t)=t34−2t14h(t) = t^{\frac{3}{4}} - 2t^{\frac{1}{4}}
    • Derivative: h′(t)=34t−14−2(14)t−34=34t14−12t34=3t−24t34h'(t) = \frac{3}{4} t^{-\frac{1}{4}} - 2 \left(\frac{1}{4}\right) t^{-\frac{3}{4}} = \frac{3}{4t^{\frac{1}{4}}} - \frac{1}{2t^{\frac{3}{4}}} = \frac{3\sqrt{t} - 2}{4t^{\frac{3}{4}}}
    • Set h′(t)=0  ⟹  3t−2=0  ⟹  t=23  ⟹  t=49h'(t) = 0 \implies 3\sqrt{t} - 2 = 0 \implies \sqrt{t} = \frac{2}{3} \implies t = \frac{4}{9}
    • Question 6.14: Critical Numbers of Logarithmic Product:
    • Problem Statement: Find the critical numbers of the function f(x)=x−2ln⁡(x)f(x) = x^{-2} \ln(x)
    • Derivative: f′(x)=−2x−3ln⁡(x)+x−2(1x)=x−3(1−2ln⁡(x))=1−2ln⁡(x)x3f'(x) = -2x^{-3} \ln(x) + x^{-2} \left(\frac{1}{x}\right) = x^{-3}(1 - 2\ln(x)) = \frac{1 - 2\ln(x)}{x^3}
    • Set f′(x)=0  ⟹  1−2ln⁡(x)=0  ⟹  ln⁡(x)=12  ⟹  x=e12=ef'(x) = 0 \implies 1 - 2\ln(x) = 0 \implies \ln(x) = \frac{1}{2} \implies x = e^{\frac{1}{2}} = \sqrt{e}
    • Options:
      • (a) 00
      • (b) 0,e0, \sqrt{e}
      • (c) e\sqrt{e} (Correct)
      • (d) 11
  • The Closed Interval Method:

    • To locate absolute extrema of a continuous function ff on a closed interval [a,b][a, b]:
    1. Find values of ff at critical numbers of ff in (a,b)(a, b)
    2. Find values of ff at the endpoints aa and bb
    3. The largest value is the absolute maximum; the smallest value is the absolute minimum
  • Absolute Extrema Solved Questions:

    • Question 6.15: Absolute Extrema of Logarithmic Function:
    • Problem Statement: Find the absolute maximum and absolute minimum values of f(x)=ln⁡(x2+x+1)f(x) = \ln(x^2 + x + 1) on the interval [−1,1][-1, 1]
    • Step 1: Compute f′(x)=2x+1x2+x+1f'(x) = \frac{2x + 1}{x^2 + x + 1}
    • Step 2: Critical number: 2x+1=0  ⟹  x=−122x + 1 = 0 \implies x = -\frac{1}{2}
    • Step 3: Evaluate function values:
      • At x=−12x = -\frac{1}{2}: f(−12)=ln⁡(14−12+1)=ln⁡(34)f\left(-\frac{1}{2}\right) = \ln\left(\frac{1}{4} - \frac{1}{2} + 1\right) = \ln\left(\frac{3}{4}\right)
      • At endpoint x=−1x = -1: f(−1)=ln⁡(1−1+1)=ln⁡(1)=0f(-1) = \ln(1 - 1 + 1) = \ln(1) = 0
      • At endpoint x=1x = 1: f(1)=ln⁡(1+1+1)=ln⁡(3)f(1) = \ln(1 + 1 + 1) = \ln(3)
    • Conclusion: Absolute minimum = ln⁡(34)\ln\left(\frac{3}{4}\right), absolute maximum = ln⁡(3)\ln(3)
    • Options:
      • (a) Absolute minimum = 00, absolute maximum = ln⁡(34)\ln\left(\frac{3}{4}\right)
      • (b) Absolute minimum = ln⁡(34)\ln\left(\frac{3}{4}\right), absolute maximum = ln⁡(3)\ln(3) (Correct)
      • (c) Absolute minimum = ln⁡(34)\ln\left(\frac{3}{4}\right), absolute maximum = 00
      • (d) Absolute minimum = 00, absolute maximum = ln⁡(3)\ln(3)
    • Question 6.16: Absolute Extrema of Composite Polynomial Function:
    • Problem Statement: Find the absolute maximum and absolute minimum values of f(x)=(x2−1)3f(x) = (x^2 - 1)^3 on the interval [−1,2][-1, 2]
    • Step 1: Compute f′(x)=3(x2−1)2(2x)=6x(x2−1)2f'(x) = 3(x^2 - 1)^2 (2x) = 6x(x^2 - 1)^2
    • Step 2: Critical numbers in interval: x=0x = 0, x=1x = 1, x=−1x = -1
    • Step 3: Evaluate function values:
      • At x=−1x = -1: f(−1)=((−1)2−1)3=0f(-1) = ((-1)^2 - 1)^3 = 0
      • At x=0x = 0: f(0)=(02−1)3=−1f(0) = (0^2 - 1)^3 = -1
      • At x=1x = 1: f(1)=(12−1)3=0f(1) = (1^2 - 1)^3 = 0
      • At endpoint x=2x = 2: f(2)=(22−1)3=33=27f(2) = (2^2 - 1)^3 = 3^3 = 27
    • Conclusion: Absolute minimum = −1-1, absolute maximum = 2727
    • Options:
      • (a) Absolute minimum = -1, absolute maximum = 0
      • (b) Absolute minimum = 0, absolute maximum = 27
      • (c) Absolute minimum = -1, absolute maximum = 1
      • (d) Absolute minimum = -1, absolute maximum = 27 (Correct)