Parent Functions ✏ AP Precalculus

Rucete ✏ AP Precalculus In a Nutshell

4. Parent Functions

This chapter introduces parent functions, how to graph them, transform them, compose functions, model real-life scenarios, and find inverses. These are essential foundations for function analysis throughout precalculus and beyond.

- Basic Parent Functions and Graphs

  • Each parent function is the simplest form of its type (e.g., linear, quadratic, absolute value).
  • Example functions:
    • Linear: f(x) = x
    • Quadratic: f(x) = x²
    • Absolute value: f(x) = |x|
    • Square root, cubic, cube root, rational, etc.

- Piecewise-Defined Functions

  • Defined by multiple expressions over different intervals
  • Graph boundaries must be analyzed for:
    • Open/closed points
    • Continuity or jump discontinuity
  • Example: f(x) = { −x if x < 0, x if x ≥ 0 } → graph of |x|

- Function Transformations

  • Vertical translations: f(x) + k shifts graph up/down
  • Horizontal translations: f(x + h) shifts left/right
  • Vertical dilation/reflection: af(x)
    • a > 1 = stretch
    • 0 < a < 1 = compress
    • a < 0 = reflect
  • Horizontal dilation/reflection: f(bx)
    • b > 1 = compress
    • 0 < b < 1 = stretch
    • b < 0 = reflect
  • Order of transformations:
    1. Horizontal shift
    2. Dilations
    3. Reflections
    4. Vertical shift
  • Composite transformations: Combine multiple steps algebraically and geometrically

- Function Models and Applications

  • Function types matched with scenarios:
    • Linear → constant rate (e.g., rental pricing)
    • Quadratic → symmetry, max/min (e.g., projectile motion)
    • Cubic → volume or 3D modeling
    • Polynomial → real zeros and turning points
    • Piecewise → variable rates, taxes
    • Rational → inverse relationships (e.g., gravity, work problems)
  • Use diagrams and equations to restrict domain/range, and interpret intercepts, slopes, and variables

- Regression Models

  • Use calculators to find best-fit equations from data:
    • Linear regression (y = mx + b)
    • Quadratic regression (y = ax² + bx + c)
  • Interpretation includes:
    • Slope: rate of change
    • Intercepts: context-specific meanings
    • Implied domain: practical limits of x-values

- Rational and Quadratic Modeling Examples

  • Inverse variation: y = k/x
  • Rational models appear in fencing, force, and cost problems
  • Quadratic models used in optimization: area, height, volume problems

- Composition of Functions

  • Composite function: f(g(x)) means plug g into f
  • Order matters: f(g(x)) ≠ g(f(x))
  • Use graphs, tables, equations, or verbal forms
  • Identity function: f(x) = x satisfies f(f(x)) = x
  • Domain of f(g(x)) must respect:
    • Domain of g(x)
    • Outputs of g(x) must lie within domain of f(x)

- Inverse Functions

  • Inverse function f⁻¹ reverses input/output: f(a) = b ⇒ f⁻¹(b) = a
  • To find f⁻¹:
    • Swap x and y
    • Solve for y
  • Graphically: reflect across y = x
  • Use horizontal line test to check for inverses
  • One-to-one function: different inputs → different outputs
  • Domain restriction may be needed (e.g., x² is not one-to-one unless x ≥ 0)

In a Nutshell

Parent functions are the core of understanding all function types. Knowing their basic forms and how to transform, compose, model, and invert them sets the foundation for real-world problem solving. Graphs and algebraic rules work hand-in-hand to reveal relationships, behaviors, and applications essential for success in precalculus.

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