Historical Context & Motivation
In everyday mathematics you are used to writing y as a function of x, such as y = 2x + 3. This works perfectly for simple lines and parabolas, but what happens when a curve loops back on itself, or when you need to know where an object is at every moment in time? A single equation y = f(x) struggles to capture these situations. Parametric equations were developed precisely to handle curves and motions that a simple y = f(x) relationship cannot describe. Instead of tying y directly to x, both coordinates are expressed through an independent third quantity — the parameter — which often represents time.
The central question this topic addresses is: How can we model paths, shapes, and real-world phenomena that depend on a changing quantity like time, angle, or distance? Parametric models give us a powerful and flexible answer.
Core Principles & Definitions
A parametric model expresses the coordinates of a point as separate functions of a single independent variable called the parameter. Typically we write x = f(t) and y = g(t), where t is the parameter. As t changes, the point (x, y) traces out a curve in the Cartesian plane. Below are the foundational ideas you need to understand before working with these models.
The Parameter
Parametric Equations
Domain of the Parameter
Eliminating the Parameter
Direction & Speed
Visual Explanation — Tracing a Parametric Curve
The diagram below shows how the parametric equations x = 2cos(t) and y = sin(t) trace out an ellipse as the parameter t increases from 0 to 2π. Notice how the left panel shows the individual graphs of x(t) and y(t), while the right panel shows the resulting path in the xy-plane with arrows indicating direction.
This visual makes a key point clear: the Cartesian curve (the ellipse) contains no information about timing or direction. But the parametric form tells you that the point starts at (2, 0) when t = 0, rises to (0, 1) at t = π/2, passes through (−2, 0) at t = π, dips to (0, −1) at t = 3π/2, and returns to the start at t = 2π. That extra layer of information — when and where — is what makes parametric models so useful in real-world contexts.
Mathematical Framework
The mathematical heart of parametric models is straightforward. You define two functions of a single parameter and, when needed, eliminate the parameter to find the Cartesian equivalent. Below are the essential formulas and techniques.
Real-World Parametric Models
Parametric equations are not just a mathematical curiosity — they model real phenomena that you encounter in science, engineering, and everyday life. The table below summarises the most common parametric models you will see in IB Maths AI HL and the contexts where they arise.
| Model Type | Parametric Equations | Real-World Context |
|---|---|---|
| Straight-line motion | x = x₀ + vxt, y = y₀ + vyt | An aircraft flying at constant velocity; a ship crossing a strait |
| Circular motion | x = r cos(t), y = r sin(t) | A satellite orbiting Earth; a Ferris wheel rider's position over time |
| Elliptical path | x = a cos(t), y = b sin(t) | Planetary orbits; an oval running track |
| Projectile motion | x = v₀ cos(α)·t, y = v₀ sin(α)·t − ½gt² | A basketball shot; a water fountain jet; a firework trajectory |
| Lissajous figures | x = A sin(at + δ), y = B sin(bt) | Oscilloscope patterns; vibration analysis in engineering |
The projectile motion model is one of the most important parametric models you will encounter. The horizontal equation is linear in t because no force acts horizontally (ignoring air resistance), while the vertical equation is quadratic because gravity creates constant downward acceleration. The beauty of the parametric approach is that you can determine the position at any moment — information that the Cartesian parabola alone cannot provide.
Worked Example — Ferris Wheel
A Ferris wheel has a radius of 20 m and its centre is 22 m above the ground. It completes one full revolution every 60 seconds, rotating anticlockwise. A rider boards at the lowest point. Write parametric equations for the rider's position and find their height after 10 seconds.
Parametric vs. Cartesian — Strengths & Limitations
Both parametric and Cartesian forms have their place. The table below helps you understand when each approach is most appropriate and where each form falls short.
| Feature | Parametric Form | Cartesian Form |
|---|---|---|
| Direction of travel | ✓ Naturally encodes direction as t increases | ✗ No directional information |
| Timing / speed | ✓ t often represents time, so speed is built in | ✗ Does not capture when a point is reached |
| Curves that loop | ✓ Easily represents loops, spirals, and self-intersecting curves | ✗ Fails the vertical line test; must split into pieces |
| Simplicity | ✗ Requires two equations instead of one | ✓ Single equation is often simpler to manipulate |
| Graphing by hand | ✗ Need a table of t-values; slower to sketch | ✓ Standard techniques (intercepts, symmetry) work directly |
| Technology / GDC | ✓ Most calculators have a parametric mode | ✓ Standard function mode is well-supported |
Connection to Further Topics
The parametric models introduced here lay the groundwork for several advanced topics you will encounter later in IB HL and beyond. Understanding how x and y depend on a third variable prepares you for work in calculus, vectors, and applied modelling.
| This Lesson (AHL 2.10 Intro) | Where It Leads |
|---|---|
| Writing parametric equations from context | AHL 2.10 continued: fitting parametric models to data using technology |
| Eliminating the parameter | Connecting parametric curves to known Cartesian forms (conics, polynomials) |
| Gradient dy/dx from parametric form | AHL 5.13: Differentiation of parametric functions and related rates |
| Position as (x(t), y(t)) | AHL 3.12–3.13: Vector functions of time, velocity and acceleration vectors |
| Modelling circular / elliptical motion | Physics HL: uniform circular motion, Kepler's laws of planetary orbits |
In particular, the move from parametric curves to vector-valued functions is quite natural: instead of writing x = f(t) and y = g(t) separately, you can package them into a single vector r(t) = (f(t), g(t)). Differentiating this vector with respect to t gives the velocity vector, and differentiating again gives the acceleration vector. This is the language of motion in physics and engineering, and it all starts with the parametric thinking you are developing right now.
Practice Problems
Lesson Summary
A parametric model expresses the coordinates of a curve as separate functions of a parameter — typically time — using the form x = f(t), y = g(t). This approach captures not only the shape of the curve but also the direction and timing of motion along it. You can eliminate the parameter to convert back to a Cartesian equation, revealing the overall geometric shape — for instance, using the Pythagorean identity to turn x = a cos(t), y = b sin(t) into the equation of an ellipse.
Common real-world applications include projectile motion (where horizontal position is linear in t and vertical position is quadratic), circular and elliptical motion (modelled with trigonometric functions), and straight-line paths (modelled with linear functions). On the IB exam, remember to use your GDC in parametric mode and always define the domain of t to match the context of the problem.