Calculus Study Guide: Rates of Change, Limits, and Continuity

Average Rate of Change and Instantaneous Rate of Change

  • Conceptual Distinction Between Rates of Change:

    • Average Rate of Change: Measures the overall change in output per unit change in input over a specific interval. It indicates how fast or slow a function y=f(x)y = f(x) is increasing or decreasing on average between two points x=x1x = x_1 and x=x2x = x_2.
    • Instantaneous Rate of Change: Measures the exact rate at which a function is changing at one specific instant in time.
    • Distance and Speed Metaphor:
      • If a vehicle travels 200 miles200\,\text{miles} in 4 hours4\,\text{hours}, the average rate of change (average speed) is:             Average Speed=200 miles4 hours=50 mph\text{Average Speed} = \frac{200\,\text{miles}}{4\,\text{hours}} = 50\,\text{mph}
      • If the driver looks at the speedometer exactly 1 hour1\,\text{hour} into the trip and reads 62 mph62\,\text{mph}, that measurement represents the instantaneous rate of change at that specific instant.
  • Mathematical Definition of Average Rate of Change:

    • The average rate of change of a function f(x)f(x) with respect to xx, as xx changes from x1x_1 to x2x_2, is the ratio of the change in the output f(x)f(x) to the change in the input xx:         Average Rate of Change=f(x2)−f(x1)x2−x1\text{Average Rate of Change} = \frac{f(x_2) - f(x_1)}{x_2 - x_1}
  • Graphical Interpretation:

    • Graphically, the average rate of change of f(x)f(x) between x1x_1 and x2x_2 is equal to the slope of the secant line passing through the points (x1,f(x1))(x_1, f(x_1)) and (x2,f(x2))(x_2, f(x_2)) on the graph of y=f(x)y = f(x).

The Difference Quotient

  • Purpose and Formulation:

    • The difference quotient is an algebraic process and notation developed to easily manipulate and evaluate the average rate of change of a function.
    • Instead of using two distinct input symbols x1x_1 and x2x_2, set x1=xx_1 = x and x2=x+hx_2 = x + h, where hh represents a non-zero change in xx (h≠0h \neq 0).
  • Algebraic Derivation:

    • Substituting x1=xx_1 = x and x2=x+hx_2 = x + h into the average rate of change ratio yields:         Average Rate of Change=f(x2)−f(x1)x2−x1=f(x+h)−f(x)(x+h)−x=f(x+h)−f(x)h\text{Average Rate of Change} = \frac{f(x_2) - f(x_1)}{x_2 - x_1} = \frac{f(x + h) - f(x)}{(x + h) - x} = \frac{f(x + h) - f(x)}{h}
    • Constraint: h≠0h \neq 0.
  • Graphical Connection:

    • The difference quotient still represents the slope of a secant line connecting the points (x,f(x))(x, f(x)) and (x+h,f(x+h))(x + h, f(x + h)).

Applications of Average Rate of Change

  • Lunar Motion Example:

    • A stone is thrown upward from the surface of the moon with an initial velocity of 3.2 m/s3.2\,\text{m/s}. Its position in meters above the surface after tt seconds is modeled by:         f(t)=3.2t−0.8t2f(t) = 3.2t - 0.8t^2
    • Part A: Calculating Average Rate of Change from t=1 secondt = 1\,\text{second} to t=2 secondst = 2\,\text{seconds}:
      • Evaluate position at t=1 st = 1\,\text{s}:             f(1)=3.2(1)−0.8(1)2=3.2−0.8=2.4 mf(1) = 3.2(1) - 0.8(1)^2 = 3.2 - 0.8 = 2.4\,\text{m}
      • Evaluate position at t=2 st = 2\,\text{s}:             f(2)=3.2(2)−0.8(2)2=6.4−3.2=3.2 mf(2) = 3.2(2) - 0.8(2)^2 = 6.4 - 3.2 = 3.2\,\text{m}
      • Calculate the average rate of change:             \text{Average Rate of Change} = \frac{f(2) - f(1)}{2 - 1} = \frac{3.2 - 2.4}{1} = 0.8\,\text{m\,s^{-1}}
    • Part B: Graphical Representation:
      • The graph of f(t)f(t) forms a downward-opening parabola with a vertex at (2,3.2)(2, 3.2).
      • The secant line connects the points (1,2.4)(1, 2.4) and (2,3.2)(2, 3.2), having a positive slope equal to 0.80.8.
  • Compound Interest Savings Account Example:

    • An initial investment of $2000\$2000 is placed into a savings account paying 6%6\% annual interest compounded quarterly. The future amount A(t)A(t) in dollars after tt years is given by:         A(t)=2000(1.015)4tA(t) = 2000(1.015)^{4t}(Note: The quarterly growth factor is 1+0.064=1.0151 + \frac{0.06}{4} = 1.015).
    • Part A: Value and Context of A(3)A(3):
      • Calculation:             A(3)=2000(1.015)4(3)=2000(1.015)12≈2391.24A(3) = 2000(1.015)^{4(3)} = 2000(1.015)^{12} \approx 2391.24
      • Context Interpretation: A(3)≈2391.24 dollarsA(3) \approx 2391.24\,\text{dollars} represents the total balance in the savings account after 3 years3\,\text{years}.
    • Part B: Value and Context of A(5)−A(3)A(5) - A(3):
      • Calculation for A(5)A(5):             A(5)=2000(1.015)4(5)=2000(1.015)20≈2693.71A(5) = 2000(1.015)^{4(5)} = 2000(1.015)^{20} \approx 2693.71
      • Difference:             A(5)−A(3)=2693.71−2391.24=302.47A(5) - A(3) = 2693.71 - 2391.24 = 302.47
      • Context Interpretation: A(5)−A(3)=302.47 dollarsA(5) - A(3) = 302.47\,\text{dollars} represents the total amount of interest earned (net growth) between year 33 and year 5$.\n * **Part C: Value and Context of \frac{A(5) - A(3)}{5 - 3}**:\n * Calculation:\n            \frac{A(5) - A(3)}{5 - 3} = \frac{302.47}{2} = 151.235\n * *Context Interpretation*: \frac{A(5) - A(3)}{5 - 3} = 151.235\,\text{dollars\,year^{-1}}representstheaveragerateofchange(averagegrowthperyear)ofthemoneyinthesavingsaccountovertherepresents the average rate of change (average growth per year) of the money in the savings account over the2\,\text{year}periodfromyearperiod from year3toyearto year5$.

Algebraic Simplification of the Difference Quotient

  • Required Function Types:

    • Simplifying and using the difference quotient f(x+h)−f(x)h\frac{f(x+h)-f(x)}{h} applies to linear, quadratic, and simple rational functions.
  • Complete Derivation for Quadratic Function f(x)=16−x−2x2f(x) = 16 - x - 2x^2:

    • Step 1: Write down the difference quotient expression:         f(x+h)−f(x)h=[16−(x+h)−2(x+h)2]−[16−x−2x2]h\frac{f(x + h) - f(x)}{h} = \frac{[16 - (x + h) - 2(x + h)^2] - [16 - x - 2x^2]}{h}
    • Step 2: Expand (x+h)2(x + h)^2 and distribute negative signs:         16−x−h−2(x2+2xh+h2)−16+x+2x2h\frac{16 - x - h - 2(x^2 + 2xh + h^2) - 16 + x + 2x^2}{h}
    • Step 3: Distribute the −2-2 into the quadratic expansion:         16−x−h−2x2−4xh−2h2−16+x+2x2h\frac{16 - x - h - 2x^2 - 4xh - 2h^2 - 16 + x + 2x^2}{h}
    • Step 4: Combine like terms in the numerator (terms without hh cancel out):         −h−4xh−2h2h\frac{-h - 4xh - 2h^2}{h}
    • Step 5: Factor out hh from the numerator:         h(−1−4x−2h)h\frac{h(-1 - 4x - 2h)}{h}
    • Step 6: Cancel hh in the numerator and denominator:         −1−4x−2h-1 - 4x - 2h
  • Numerical Table Evaluation at x=1x = 1:

    • For x=1x = 1, the simplified difference quotient reduces to:         −1−4(1)−2h=−5−2h-1 - 4(1) - 2h = -5 - 2h
    • Table of Average Rates of Change as h→0h \rightarrow 0:
      • When x=1x = 1 and h=0.1h = 0.1:             Difference Quotient=−5−2(0.1)=−5.2\text{Difference Quotient} = -5 - 2(0.1) = -5.2
      • When x=1x = 1 and h=0.01h = 0.01:             Difference Quotient=−5−2(0.01)=−5.02\text{Difference Quotient} = -5 - 2(0.01) = -5.02
      • When x=1x = 1 and h=0.001h = 0.001:             Difference Quotient=−5−2(0.001)=−5.002\text{Difference Quotient} = -5 - 2(0.001) = -5.002

Intuitive Introduction to Limits

  • Concept of a Limit:

    • The limit process involves examining the behavior of a function f(x)f(x) as the input xx values approach a specific number cc.
    • The number cc may or may not belong to the domain of f(x)f(x).
    • Limits are used to determine function behavior at critical points such as holes, gaps, cusps, corners, or vertical asymptotes.
    • Graphical and numerical methods yield educated estimations of limits.
  • One-Sided Limits:

    • Left-Sided Limit:
      • If f(x)f(x) approaches a value LL as xx approaches cc from the left (x<cx < c), it is written as:             lim⁡x→c−f(x)=L\lim_{x \rightarrow c^-} f(x) = L
      • Meaning: As values of xx are chosen closer and closer to cc (while remaining strictly less than cc), the output values y=f(x)y = f(x) get closer and closer to L$.\n * **Right-Sided Limit**:\n * If f(x)approachesavalueapproaches a valueMasasxapproachesapproachescfromtheright(from the right (x > c), it is written as:\n            \lim_{x \rightarrow c^+} f(x) = M\n * *Meaning*: As values of xarechosencloserandclosertoare chosen closer and closer toc(whileremainingstrictlygreaterthan(while remaining strictly greater thanc),theoutputvalues), the output valuesy = f(x)getcloserandclosertoget closer and closer toM$.
  • Existence Theorem for Two-Sided Limits:

    • Let ff be a function defined for all values of xx near x=cx = c, with the possible exception of cc itself.
    • Theorem: The general two-sided limit exists if and only if both one-sided limits exist and are equal to the same value LL:         lim⁡x→c−f(x)=lim⁡x→c+f(x)=L  ⟺  lim⁡x→cf(x)=L\lim_{x \rightarrow c^-} f(x) = \lim_{x \rightarrow c^+} f(x) = L \iff \lim_{x \rightarrow c} f(x) = L

Numerical Estimation of Limits

  • Table Estimation Example:

    • Evaluating the limit:         lim⁡x→2x2+4x−12x−2\lim_{x \rightarrow 2} \frac{x^2 + 4x - 12}{x - 2}
    • Left-Hand Table (x<2x < 2):
      • x=1.99  ⟹  f(1.99)=(1.99)2+4(1.99)−121.99−2=7.99x = 1.99 \implies f(1.99) = \frac{(1.99)^2 + 4(1.99) - 12}{1.99 - 2} = 7.99
      • x=1.999  ⟹  f(1.999)=7.999x = 1.999 \implies f(1.999) = 7.999
      • x=1.9999  ⟹  f(1.9999)=7.9999x = 1.9999 \implies f(1.9999) = 7.9999
      • x=1.99999  ⟹  f(1.99999)=7.99999x = 1.99999 \implies f(1.99999) = 7.99999
    • Right-Hand Table (x>2x > 2):
      • x=2.01  ⟹  f(2.01)=(2.01)2+4(2.01)−122.01−2=8.01x = 2.01 \implies f(2.01) = \frac{(2.01)^2 + 4(2.01) - 12}{2.01 - 2} = 8.01
      • x=2.001  ⟹  f(2.001)=8.001x = 2.001 \implies f(2.001) = 8.001
      • x=2.0001  ⟹  f(2.0001)=8.0001x = 2.0001 \implies f(2.0001) = 8.0001
      • x=2.00001  ⟹  f(2.00001)=8.00001x = 2.00001 \implies f(2.00001) = 8.00001
    • Limit Determination:
      • Directly substituting x=2x = 2 into the expression produces 00\frac{0}{0}, which causes a division-by-zero error.
      • As xx approaches 22 from both the left and right, the function values approach 88.
      • Therefore:             lim⁡x→2x2+4x−12x−2=8\lim_{x \rightarrow 2} \frac{x^2 + 4x - 12}{x - 2} = 8
  • Core Principles of Limit Computation:

    1. Function Existence vs. Limit Existence: A function does not need to exist at x=cx = c for the limit at x=cx = c to exist.
    2. Fundamental Question of Limits: Limits ask for the behavior of y=f(x)y = f(x) NEAR the xx value as xx approaches cc.
    3. Irrelevance of Value at x=cx = c: Computing a limit does not depend on the actual value of f(c)f(c). The limit relies exclusively on outputs surrounding x=cx = c (to the immediate left and right).

Limits and Asymptotes

  • Limits at Infinity (End Behavior):

    • lim⁡x→∞f(x)\lim_{x \rightarrow \infty} f(x) describes the horizontal end behavior of the graph as xx grows infinitely positive.
    • lim⁡x→−∞f(x)\lim_{x \rightarrow -\infty} f(x) describes the horizontal end behavior of the graph as xx grows infinitely negative.
  • Infinite Limits and Vertical Asymptotes:

    • If f(x)f(x) approaches positive or negative infinity as xx approaches a finite number cc, the line x=cx = c is a vertical asymptote.
  • Non-Existence of Limits:

    • If left-sided and right-sided limits approach different finite values, or if the function oscillates endlessly, the two-sided limit does not exist (DNE).

Continuity of Functions

  • Intuitive Definition of Continuity:

    • A function is continuous at a specific point x=cx = c if its graph contains no holes, gaps, jumps, or breaks at that point.
  • Precise Definition of Continuity at a Point:

    • A function ff is continuous at a number x=cx = c if and only if the following three conditions are met:
      1. cc is in the domain of ff (meaning f(c)f(c) is defined).
      2. lim⁡x→cf(x)\lim_{x \rightarrow c} f(x) exists.
      3. lim⁡x→cf(x)=f(c)\lim_{x \rightarrow c} f(x) = f(c).
  • Continuity Over an Interval:

    • A function ff is continuous over an open interval (a,b)(a, b) if and only if it is continuous at every individual number within that interval.
  • Continuity Theorem for Standard Functions:

    • Linear, quadratic, polynomial, rational, power, and root functions are continuous over their entire domains and discontinuous at all values not in their domain.
    • To determine where standard algebraic functions are continuous, determine their domain.

Domain and Continuity Determination Examples

  • Example A: Polynomial Function:

    • Function: f(x)=12x3−2x2+15x−5f(x) = 12x^3 - 2x^2 + 15x - 5
    • Domain: Polynomials are defined for all real numbers, (−∞,∞)(-\infty, \infty).
    • Continuity: f(x)f(x) is continuous on (−∞,∞)(-\infty, \infty).
  • Example B: Rational Function:

    • Function: g(x)=x2−6x+2x+7g(x) = \frac{x^2 - 6x + 2}{x + 7}
    • Domain Condition: The denominator cannot equal zero:         x+7≠0  ⟹  x≠−7x + 7 \neq 0 \implies x \neq -7
    • Domain: (−∞,−7)∪(−7,∞)(-\infty, -7) \cup (-7, \infty).
    • Continuity: g(x)g(x) is continuous on (−∞,−7)∪(−7,∞)(-\infty, -7) \cup (-7, \infty) and discontinuous at x = -7$.\n\n* **Example C: Root Function**:\n * Function: g(x) = \sqrt{x + 10}\n * Domain Condition: The expression under an even root must be non-negative:\n        x + 10 \ge 0 \implies x \ge -10\n * Domain: [-10, \infty).\n * Continuity: g(x)iscontinuousonis continuous on[-10, \infty)$$.