Calculus: Limits, Continuity, and Rates of Change Notes

Rates of Change, Limits, and Sensitivity in Corn Production

  • The yield per acre for an irrigated field of corn in western Kansas depends on nitrogen fertilizer usage.
  • The yield function is represented as Y(F)=130−65×0.985FY(F) = 130 - 65 \times 0.985^F, where Y(F)Y(F) is the yield in bushels per acre and FF is the number of pounds of fertilizer used per acre.
  • If a farmer applies 100 lb100\,lb per acre, the crop yield's sensitivity to small changes can be determined using rates of change and limits.

Rates of Change and Limits

  • Near the earth's surface, all bodies fall with the same constant acceleration when in a vacuum. The distance a body falls from rest is a constant multiple of the square of the time fallen (y=16t2y = 16t^2 feet in the first tt seconds for dense objects like rocks or ball bearings).
  • Average Velocity: Divided change in distance by change in time. For an object with position function y=f(t)y = f(t), the average rate of change over the interval from tt to t+Δtt + \Delta t is:     ΔyΔt=f(t+Δt)−f(t)Δt\frac{\Delta y}{\Delta t} = \frac{f(t + \Delta t) - f(t)}{\Delta t}     Alternatively, using hh for the elapsed time:     f(t+h)−f(t)h\frac{f(t + h) - f(t)}{h}
  • Instantaneous Velocity: The velocity at one single instant of time. It is the limit of the average velocity as the time interval approaches zero.
  • Example: Falling Rock:
    • Formula: y=16t2y = 16t^2.
    • Average velocity from t=0t = 0 to t=2t = 2: 16(2)2−16(0)22−0=32 ft/sec\frac{16(2)^2 - 16(0)^2}{2 - 0} = 32\,ft/sec.
    • Instantaneous velocity at t=2t = 2 is found by taking the limit of the average velocity over the interval [2,2+h][2, 2 + h]:         16(2+h)2−16(2)2h=64+64h+16h2−64h=64+16h\frac{16(2 + h)^2 - 16(2)^2}{h} = \frac{64 + 64h + 16h^2 - 64}{h} = 64 + 16h
    • As h→0h \rightarrow 0, the velocity approaches 64 ft/sec64\,ft/sec.

Definition and Properties of Limits

  • Limit Notation: lim⁡x→cf(x)=L\lim_{x \rightarrow c} f(x) = L means that we can force f(x)f(x) to be as close to LL as we wish by restricting xx to be sufficiently close to cc (but not equal to cc).
  • The limit at cc does not depend on whether the function is defined at cc or what its value is at cc.
  • Theorem 1: Properties of Limits (If lim⁡x→cf(x)=L\lim_{x \rightarrow c} f(x) = L and lim⁡x→cg(x)=M\lim_{x \rightarrow c} g(x) = M):
    • Sum Rule: lim⁡x→c(f(x)+g(x))=L+M\lim_{x \rightarrow c} (f(x) + g(x)) = L + M
    • Difference Rule: lim⁡x→c(f(x)−g(x))=L−M\lim_{x \rightarrow c} (f(x) - g(x)) = L - M
    • Product Rule: lim⁡x→c(f(x)×g(x))=L×M\lim_{x \rightarrow c} (f(x) \times g(x)) = L \times M
    • Constant Multiple Rule: lim⁡x→c(k×f(x))=k×L\lim_{x \rightarrow c} (k \times f(x)) = k \times L
    • Quotient Rule: lim⁡x→cf(x)g(x)=LM\lim_{x \rightarrow c} \frac{f(x)}{g(x)} = \frac{L}{M} (provided M≠0M \neq 0)
    • Power Rule: lim⁡x→c[f(x)]r/s=Lr/s\lim_{x \rightarrow c} [f(x)]^{r/s} = L^{r/s}, provided Lr/sL^{r/s} is real and L>0L > 0 if ss is even.
  • Polynomial and Rational Functions:
    • For a polynomial f(x)f(x), lim⁡x→cf(x)=f(c)\lim_{x \rightarrow c} f(x) = f(c).
    • For a rational function f(x)/g(x)f(x)/g(x), lim⁡x→cf(x)g(x)=f(c)g(c)\lim_{x \rightarrow c} \frac{f(x)}{g(x)} = \frac{f(c)}{g(c)} if g(c)≠0g(c) \neq 0.

One-Sided and Two-Sided Limits

  • Right-hand Limit: lim⁡x→c+f(x)=L\lim_{x \rightarrow c^+} f(x) = L (approaching from values greater than cc).
  • Left-hand Limit: lim⁡x→c−f(x)=L\lim_{x \rightarrow c^-} f(x) = L (approaching from values less than cc).
  • Theorem 3: A function f(x)f(x) has a limit as x→cx \rightarrow c if and only if the right-hand and left-hand limits at cc exist and are equal: lim⁡x→cf(x)=L  ⟺  lim⁡x→c+f(x)=L and lim⁡x→c−f(x)=L\lim_{x \rightarrow c} f(x) = L \iff \lim_{x \rightarrow c^+} f(x) = L \text{ and } \lim_{x \rightarrow c^-} f(x) = L.
  • The Greatest Integer Function: y=int xy = \text{int } x (or floor function ⌊x⌋\lfloor x \rfloor) has different one-sided limits at integers.
    • For integer nn: lim⁡x→n+int x=n\lim_{x \rightarrow n^+} \text{int } x = n and lim⁡x→n−int x=n−1\lim_{x \rightarrow n^-} \text{int } x = n - 1.

The Squeeze Theorem

  • If g(x)≤f(x)≤h(x)g(x) \le f(x) \le h(x) for all x≠cx \neq c in an interval about cc, and lim⁡x→cg(x)=lim⁡x→ch(x)=L\lim_{x \rightarrow c} g(x) = \lim_{x \rightarrow c} h(x) = L, then lim⁡x→cf(x)=L\lim_{x \rightarrow c} f(x) = L.
  • Example: Show lim⁡x→0[x2sin⁡(1/x)]=0\lim_{x \rightarrow 0} [x^2 \sin(1/x)] = 0.
    • −1≤sin⁡(1/x)≤1-1 \le \sin(1/x) \le 1
    • −x2≤x2sin⁡(1/x)≤x2-x^2 \le x^2 \sin(1/x) \le x^2
    • Since lim⁡x→0(−x2)=0\lim_{x \rightarrow 0} (-x^2) = 0 and lim⁡x→0(x2)=0\lim_{x \rightarrow 0} (x^2) = 0, then lim⁡x→0x2sin⁡(1/x)=0\lim_{x \rightarrow 0} x^2 \sin(1/x) = 0.

Limits Involving Infinity

  • Horizontal Asymptotes: The line y=by = b is a horizontal asymptote if lim⁡x→∞f(x)=b\lim_{x \rightarrow \infty} f(x) = b or lim⁡x→−∞f(x)=b\lim_{x \rightarrow -\infty} f(x) = b.
  • Infinite Limits (Vertical Asymptotes): The line x=ax = a is a vertical asymptote if lim⁡x→a+f(x)=±∞\lim_{x \rightarrow a^+} f(x) = \pm \infty or lim⁡x→a−f(x)=±∞\lim_{x \rightarrow a^-} f(x) = \pm \infty.
  • End Behavior Models: For numerically large values of xx, complex functions can be modeled by simpler ones (gg is an end behavior model for ff if lim⁡x→∞f(x)/g(x)=1\lim_{x \rightarrow \infty} f(x)/g(x) = 1).
    • A right end behavior model applies as x→∞x \rightarrow \infty.
    • A left end behavior model applies as x→−∞x \rightarrow -\infty.
    • For any polynomial f(x)=anxn+an−1xn−1+⋯+a0f(x) = a_n x^n + a_{n-1} x^{n-1} + \dots + a_0, the dominant term g(x)=anxng(x) = a_n x^n is the end behavior model.

Continuity

  • Continuity at a Point:
    • Interior Point: Continuous at cc if lim⁡x→cf(x)=f(c)\lim_{x \rightarrow c} f(x) = f(c).
    • Endpoints: Continuous at left endpoint aa if lim⁡x→a+f(x)=f(a)\lim_{x \rightarrow a^+} f(x) = f(a); continuous at right endpoint bb if lim⁡x→b−f(x)=f(b)\lim_{x \rightarrow b^-} f(x) = f(b).
  • Types of Discontinuity:
    • Removable: The limit exists, but it does not equal the function value (or the function is undefined at that point).
    • Jump: Left and right-hand limits exist but are unequal.
    • Infinite: The function approaches infinity on one or both sides.
    • Oscillating: The function oscillates infinitely many times as it approaches the point.
  • Theorem 7: Composites of Continuous Functions: If ff is continuous at cc and gg is continuous at f(c)f(c), then the composite g∘fg \circ f is continuous at cc.
  • Intermediate Value Theorem (IVT): A function ff that is continuous on a closed interval [a,b][a, b] takes on every value between f(a)f(a) and f(b)f(b). If y0y_0 is between f(a)f(a) and f(b)f(b), then y0=f(c)y_0 = f(c) for some cc in [a,b][a, b].

Rates of Change, Tangent Lines, and Sensitivity

  • Secant Line: A line through two points on a curve. Its slope represents the average rate of change.
  • Tangent Line: The limiting position of secant lines as the interval width approaches zero.
  • Slope of a Curve: The slope of the curve y=f(x)y = f(x) at point P(a,f(a))P(a, f(a)) is:     m=lim⁡h→0f(a+h)−f(a)hm = \lim_{h \rightarrow 0} \frac{f(a + h) - f(a)}{h}
  • Normal Line: The line perpendicular to the tangent line at a given point. Its slope is the negative reciprocal of the tangent's slope.
  • Sensitivity: Describes how one variable responds to small changes in another (AT≈sensitivity×ADAT \approx \text{sensitivity} \times AD). If TT is temperature and DD is dosage, sensitivity is:     lim⁡ΔD→0ΔTΔD\lim_{\Delta D \rightarrow 0} \frac{\Delta T}{\Delta D}
  • Case Study: Fruit Fly Population:
    • Average growth rate from day 23 to day 45: 340−15045−23=19022≈8.6 flies/day\frac{340 - 150}{45 - 23} = \frac{190}{22} \approx 8.6\,flies/day.
    • Instantaneous growth rate at day 23: Approximately 17.5 flies/day17.5\,flies/day (the slope of the tangent at that point).

Questions & Discussion

  • Question: Can a function have more than one horizontal asymptote?
  • Response: Yes. For example, f(x)=xx2+1f(x) = \frac{x}{\sqrt{x^2 + 1}} has horizontal asymptotes at y=1y = 1 and y=−1y = -1.
  • Question: Is the function y=∣x∣y = |x| continuous and does it have a tangent at the origin?
  • Response: It is continuous everywhere, including x=0x = 0. However, it does not have a tangent at x=0x = 0 because the left-hand limit of the slope (−1-1) and right-hand limit of the slope (11) are not equal.
  • Question: Is it possible to determine lim⁡x→c(f(x)+g(x))\lim_{x \rightarrow c} (f(x) + g(x)) if lim⁡x→cf(x)=L\lim_{x \rightarrow c} f(x) = L and lim⁡x→cg(x)=∞\lim_{x \rightarrow c} g(x) = \infty?
  • Response: Yes, the sum will approach infinity.