AHL 2.8 Transformations of graphs

AHL 2.8 — TRANSFORMATIONS OF GRAPHS

Transformation Type General Form Effect on Graph
Vertical Translation y = f(x) + b Shifts graph up or down
Horizontal Translation y = f(x − a) Shifts graph left or right
Reflection y = −f(x), y = f(−x) Flips graph over axis
Stretch/Compression y = p·f(x), y = f(qx) Scales graph vertically or horizontally

📌 Understanding Transformations

  • The base function y = f(x) represents the original untransformed graph, which acts as the reference shape before any movement, stretching, shrinking, or reflection is applied to it.
  • A transformation is a mathematical operation that moves or reshapes a graph while preserving its fundamental structure, such as translations, reflections, and stretches.
  • The coordinate axes remain fixed and invariant during transformations, meaning all movements are measured relative to these stationary reference lines.
  • Translations are often written using vector notation (a, b), where a controls horizontal motion and b controls vertical motion of the entire graph.

📌 Translations — Shifting Graphs

  • The transformation y = f(x) + b moves every point on the graph vertically by b units, upward if b is positive and downward if b is negative.
  • Example: y = x² + 4 moves the parabola four units upward without altering its width or orientation.
  • The transformation y = f(x − a) moves the graph horizontally, shifting it right by a units if a is positive and left by a units if a is negative.
  • Example: y = √(x − 2) shifts the square-root graph two units to the right.
  • The combined transformation y = f(x − a) + b applies both shifts using the translation vector (a, b).
  • Example: y = (x − 3)² − 2 shifts the parabola three units right and two units downward.
🌍 Real-World Application:
Translations are used in economics to shift supply and demand curves under taxation, subsidies, or cost changes, allowing economists to model how prices move in response to real market forces.

📌 Reflections — Flipping Graphs

  • The graph y = −f(x) reflects the original curve across the x-axis, reversing all vertical values while preserving horizontal positions.
  • Example: y = x² becomes y = −x², changing an upward-opening parabola into a downward-opening one.
  • The transformation y = f(−x) reflects the graph across the y-axis, producing a horizontal mirror image of the original curve.
  • Example: y = eˣ becomes y = e⁻ˣ, reversing its growth direction while maintaining exponential behavior.

Reflections of Functions - Justin Skycak

reflections-of-functions-1.png

📌 Stretches — Scaling Graphs

  • Vertical stretches are written as y = p·f(x), multiplying all y-values by p, which changes amplitude or vertical height without altering the x-structure.
  • Example: y = 2 sin x doubles the wave’s amplitude while keeping the same period.
  • Horizontal stretches take the form y = f(qx), compressing the graph horizontally when q > 1 and stretching it when 0 < q < 1.
  • Example: y = sin(2x) halves the original period of the sine curve.

Compressions And Stretches of Functions - GeeksforGeeks

Compression-and-Stretching-1.webp

🔢 Technology Connection:
Dynamic geometry software like GeoGebra and Desmos allows students to apply real-time transformations using sliders, making changes in amplitude, period, and translations immediately visible and intuitive.

📌 Composite Transformations — Multiple Changes

  • Composite transformations involve applying more than one transformation sequentially, producing graphs that combine stretching, reflection, and translation together.
  • The order of transformations is critical: horizontal changes inside f( ) must always be applied before vertical transformations outside f( ).
  • Example: y = x² → y = 3x² applies a vertical stretch of factor 3 → y = 3x² + 2 shifts the graph upward two units.
  • Example: y = sin x → y = 4 sin(2x) doubles frequency and quadruples amplitude.
🧠 Examiner Tip:
Students frequently lose marks by reversing horizontal shift directions. Always remember: x − a shifts right, x + a shifts left. Clearly writing transformation steps and showing vector notation can recover method marks.

📌 Common Misconceptions

  • Horizontal transformations behave opposite to intuition, meaning y = f(x − 2) shifts right rather than left.
  • Vertical transformations behave intuitively, meaning y = f(x) + 3 always shifts upward by three units.
  • Altering the order of composite transformations can completely change the final position and shape of the graph.
📐 IA Spotlight:
Investigating how parameters affect motion graphs, economic demand curves, or sound waves using transformations provides excellent opportunities for variable analysis, modeling accuracy, and graphical interpretation.
❤️ CAS Connection:
Students can design artistic mirror installations demonstrating reflections or translation geometry using interactive movement, helping younger students visualize transformation behavior physically.
🔍 TOK Perspective:
If transformations depend on human-chosen directions and coordinate axes, to what extent can mathematical models truly be considered universal representations of physical reality?