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Calculus Key Concepts Overview

Sep 16, 2025

Overview

This lecture covers essential calculus concepts, including rational expressions, limits and continuity, derivatives, the chain rule, related rates, integration, and the fundamental theorem of calculus. It emphasizes practical problem-solving strategies and introduces key techniques for evaluating functions and their rates of change, with a focus on understanding, computation, and application.

Rational Expressions

  • A rational expression is a fraction where both the numerator and denominator are polynomials.
  • To simplify a rational expression:
    • Factor both the numerator and denominator completely.
    • Cancel any common factors that appear in both.
    • The simplified form should have no common factors between numerator and denominator.
  • Multiplying rational expressions:
    • Multiply the numerators together and the denominators together.
    • Factor and simplify if possible before multiplying to make cancellation easier.
  • Dividing rational expressions:
    • Multiply by the reciprocal of the divisor (flip and multiply).
    • Factor and cancel common factors before multiplying.
  • Adding or subtracting rational expressions:
    • Find the least common denominator (LCD) by factoring denominators and combining all necessary factors.
    • Rewrite each fraction with the LCD as the denominator.
    • Combine the numerators, then simplify the result.
  • When solving rational equations:
    • Multiply both sides by the LCD to clear denominators.
    • Solve the resulting equation, but always check for extraneous solutions—values that make any denominator zero are not valid.

Limits & Continuity

  • The limit as x approaches a value describes the behavior of a function near that value, not necessarily at the value itself.
  • Limits may fail to exist due to:
    • Jump discontinuities (the function "jumps" at a point).
    • Vertical asymptotes (infinite limits).
    • Wild oscillations (function does not settle to a value).
  • Limit laws allow direct substitution if the function is continuous and the denominator does not become zero.
  • A function is continuous at x = a if:
    • The limit as x approaches a exists.
    • The function is defined at a.
    • The limit equals the function value at a.
  • A function is continuous on an interval if it is continuous at every point in that interval. For closed intervals, check one-sided continuity at endpoints.
  • Types of discontinuities:
    • Jump: function jumps from one value to another.
    • Removable (hole): function is undefined at a point but can be "plugged."
    • Infinite: function approaches infinity (vertical asymptote).
    • Wild: function oscillates without settling.
  • The Intermediate Value Theorem:
    • If a function is continuous on [a, b], it takes on every value between f(a) and f(b).
    • Useful for proving the existence of roots or values within an interval.

Derivatives & Rates of Change

  • The derivative at a point gives the slope of the tangent line and represents the instantaneous rate of change.
  • The difference quotient, [f(x + h) – f(x)] / h, gives the average rate of change; as h → 0, it gives the instantaneous rate (the derivative).
  • Power rule: d/dx[xⁿ] = n·xⁿ⁻¹; the derivative of a constant is 0.
  • The derivative of eˣ is eˣ; the derivative of aˣ is ln(a)·aˣ.
  • Higher-order derivatives (second, third, etc.) measure rates of change of rates (e.g., acceleration is the second derivative of position).
  • The derivative can be interpreted as velocity (rate of change of position) or as the slope of a function at a point.
  • The derivative of a sum or difference is the sum or difference of the derivatives.
  • The product rule: d/dx[f(x)·g(x)] = f(x)·g'(x) + f'(x)·g(x).
  • The quotient rule: d/dx[f(x)/g(x)] = (f'(x)·g(x) – f(x)·g'(x)) / [g(x)]².

Chain Rule & Implicit Differentiation

  • Chain rule: d/dx[f(g(x))] = f'(g(x)) · g'(x). Use for composite functions.
  • For implicit differentiation:
    • Differentiate both sides of an equation with respect to x, treating y as a function of x (use dy/dx when differentiating y terms).
    • Useful for finding derivatives when y is not isolated or when dealing with curves not defined as functions.
    • After differentiating, solve for dy/dx to find the derivative.
  • Logarithmic differentiation:
    • Take the natural log of both sides to simplify differentiation, especially when variables appear in both the base and exponent.
    • Differentiate using implicit differentiation, then solve for dy/dx.

Related Rates & Applications

  • Related rates problems involve finding how rates of change of different quantities are connected.
  • Steps for solving related rates problems:
    1. Draw a diagram and label all variables.
    2. Assign variables to all quantities that change with time.
    3. Write equations relating the variables.
    4. Differentiate both sides with respect to time (usually t).
    5. Substitute known values and solve for the desired rate.
  • Common applications include geometry (area, volume, distance), physics (motion, velocity, acceleration), and trigonometry (angles, rotation).

Integrals & Antiderivatives

  • Integration finds the accumulated area under a curve; the antiderivative reverses differentiation.
  • The general antiderivative: ∫f(x)dx = F(x) + C, where C is the constant of integration.
  • Use substitution (u-substitution) to simplify integrals, especially when the integrand contains a function and its derivative.
  • Definite integrals compute the net area between a function and the x-axis over an interval [a, b]; the result is a number.
  • The average value of a function on [a, b] is (1/(b–a)) ∫ₐᵇ f(x) dx.
  • The mean value theorem for integrals guarantees that a continuous function attains its average value at some point in the interval.
  • Riemann sums approximate the area under a curve by summing the areas of rectangles; as the number of rectangles increases, the sum approaches the definite integral.
  • The substitution method (u-substitution) is based on the chain rule and is used to evaluate integrals of composite functions.

Fundamental Theorem of Calculus

  • Part 1: If F(x) = ∫ₐˣ f(t) dt, then F'(x) = f(x). The derivative of the accumulated area function is the original function.
  • Part 2: The definite integral from a to b of f(x) dx equals F(b) – F(a), where F is any antiderivative of f.
  • This theorem connects differentiation and integration, allowing computation of definite integrals using antiderivatives.
  • The mean value theorem for integrals: For a continuous function on [a, b], there exists c in [a, b] such that f(c) equals the average value of f on [a, b].

Maximum/Minimum Values

  • A function has a local or absolute maximum/minimum at points where the derivative is zero or undefined (critical numbers).
  • Critical numbers: values where f'(x) = 0 or f'(x) does not exist.
  • First derivative test:
    • If f' changes from positive to negative at a critical number, there is a local maximum.
    • If f' changes from negative to positive, there is a local minimum.
    • If f' does not change sign, there is no local extremum.
  • Second derivative test:
    • If f''(x) > 0 at a critical number, it's a local minimum (concave up).
    • If f''(x) < 0, it's a local maximum (concave down).
    • If f''(x) = 0, the test is inconclusive.
  • Inflection points occur where the concavity changes (f'' changes sign).
  • The Mean Value Theorem: If f is continuous on [a, b] and differentiable on (a, b), there is some c in (a, b) where f'(c) equals the average rate of change over [a, b].

Key Terms & Definitions

  • Rational Expression: A fraction with polynomials in the numerator and denominator.
  • Limit: The value a function approaches as the input approaches a specific value.
  • Continuity: A function is continuous at a point if the function and its limit there agree.
  • Derivative: The instantaneous rate of change; slope of the tangent line.
  • Chain Rule: Method for differentiating composite functions.
  • Implicit Differentiation: Differentiating equations not solved for y.
  • Related Rates: Problems involving rates of change of related quantities.
  • Integral: Represents accumulated area under a curve or the antiderivative.
  • Fundamental Theorem of Calculus: Connects differentiation and integration.
  • Critical Number: Value where f'(x) = 0 or is undefined.
  • Inflection Point: Where the function changes concavity (f'' changes sign).
  • Mean Value Theorem: Guarantees a value where the instantaneous rate matches the average rate on an interval.
  • Antiderivative: A function whose derivative is the given function.
  • u-Substitution: A method for integrating composite functions by substituting u = g(x).
  • Riemann Sum: An approximation of the area under a curve using sums of rectangle areas.
  • Differential: An expression representing an infinitesimal change in a function, used for approximations and error estimates.

Action Items / Next Steps

  • Practice simplifying, multiplying, dividing, and adding/subtracting rational expressions, including factoring and finding LCDs.
  • Review and memorize key limit laws, derivative rules (power, product, quotient, chain), and integral rules, including substitution and integration by parts.
  • Solve example problems using the chain rule, implicit differentiation, logarithmic differentiation, and related rates.
  • Work through exercises on finding maxima and minima using first and second derivative tests, and identifying inflection points.
  • Complete assigned readings and exercises on limits, derivatives, integrals, and the fundamental theorem of calculus, including Riemann sums and average value problems.
  • Apply the mean value theorem and the fundamental theorem of calculus to real-world and theoretical problems, including verifying hypotheses and interpreting results.
  • Practice using u-substitution and other integration techniques to solve definite and indefinite integrals, and use differentials for error estimation and linear approximations.
  • Explore additional applications such as Newton’s method for finding roots, and summation notation for expressing sums and approximating integrals.