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 is increasing or decreasing on average between two points and .
- 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 in , the average rate of change (average speed) is:
- If the driver looks at the speedometer exactly into the trip and reads , 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 with respect to , as changes from to , is the ratio of the change in the output to the change in the input :
Graphical Interpretation:
- Graphically, the average rate of change of between and is equal to the slope of the secant line passing through the points and on the graph of .
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 and , set and , where represents a non-zero change in ().
Algebraic Derivation:
- Substituting and into the average rate of change ratio yields:
- Constraint: .
Graphical Connection:
- The difference quotient still represents the slope of a secant line connecting the points and .
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 . Its position in meters above the surface after seconds is modeled by:
- Part A: Calculating Average Rate of Change from to :
- Evaluate position at :
- Evaluate position at :
- 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 forms a downward-opening parabola with a vertex at .
- The secant line connects the points and , having a positive slope equal to .
Compound Interest Savings Account Example:
- An initial investment of is placed into a savings account paying annual interest compounded quarterly. The future amount in dollars after years is given by: (Note: The quarterly growth factor is ).
- Part A: Value and Context of :
- Calculation:
- Context Interpretation: represents the total balance in the savings account after .
- Part B: Value and Context of :
- Calculation for :
- Difference:
- Context Interpretation: represents the total amount of interest earned (net growth) between year and year 5$.\n * **Part C: Value and Context of \frac{A(5) - A(3)}{5 - 3}**:\n * Calculation:\n \frac{A(5) - A(3)}{5 - 3} = \frac{302.47}{2} = 151.235\n * *Context Interpretation*: \frac{A(5) - A(3)}{5 - 3} = 151.235\,\text{dollars\,year^{-1}}2\,\text{year}35$.
Algebraic Simplification of the Difference Quotient
Required Function Types:
- Simplifying and using the difference quotient applies to linear, quadratic, and simple rational functions.
Complete Derivation for Quadratic Function :
- Step 1: Write down the difference quotient expression:
- Step 2: Expand and distribute negative signs:
- Step 3: Distribute the into the quadratic expansion:
- Step 4: Combine like terms in the numerator (terms without cancel out):
- Step 5: Factor out from the numerator:
- Step 6: Cancel in the numerator and denominator:
Numerical Table Evaluation at :
- For , the simplified difference quotient reduces to:
- Table of Average Rates of Change as :
- When and :
- When and :
- When and :
Intuitive Introduction to Limits
Concept of a Limit:
- The limit process involves examining the behavior of a function as the input values approach a specific number .
- The number may or may not belong to the domain of .
- 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 approaches a value as approaches from the left (), it is written as:
- Meaning: As values of are chosen closer and closer to (while remaining strictly less than ), the output values get closer and closer to L$.\n * **Right-Sided Limit**:\n * If f(x)Mxcx > c), it is written as:\n \lim_{x \rightarrow c^+} f(x) = M\n * *Meaning*: As values of xccy = f(x)M$.
- Left-Sided Limit:
Existence Theorem for Two-Sided Limits:
- Let be a function defined for all values of near , with the possible exception of itself.
- Theorem: The general two-sided limit exists if and only if both one-sided limits exist and are equal to the same value :
Numerical Estimation of Limits
Table Estimation Example:
- Evaluating the limit:
- Left-Hand Table ():
- Right-Hand Table ():
- Limit Determination:
- Directly substituting into the expression produces , which causes a division-by-zero error.
- As approaches from both the left and right, the function values approach .
- Therefore:
Core Principles of Limit Computation:
- Function Existence vs. Limit Existence: A function does not need to exist at for the limit at to exist.
- Fundamental Question of Limits: Limits ask for the behavior of NEAR the value as approaches .
- Irrelevance of Value at : Computing a limit does not depend on the actual value of . The limit relies exclusively on outputs surrounding (to the immediate left and right).
Limits and Asymptotes
Limits at Infinity (End Behavior):
- describes the horizontal end behavior of the graph as grows infinitely positive.
- describes the horizontal end behavior of the graph as grows infinitely negative.
Infinite Limits and Vertical Asymptotes:
- If approaches positive or negative infinity as approaches a finite number , the line 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 if its graph contains no holes, gaps, jumps, or breaks at that point.
Precise Definition of Continuity at a Point:
- A function is continuous at a number if and only if the following three conditions are met:
- is in the domain of (meaning is defined).
- exists.
- .
- A function is continuous at a number if and only if the following three conditions are met:
Continuity Over an Interval:
- A function is continuous over an open interval 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:
- Domain: Polynomials are defined for all real numbers, .
- Continuity: is continuous on .
Example B: Rational Function:
- Function:
- Domain Condition: The denominator cannot equal zero:
- Domain: .
- Continuity: is continuous on 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)[-10, \infty)$$.