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Parametric Curves

From single variable function to parametric equation

In single-variable calculus, we usually describe a curve by

y=f(x).y = f(x).

For example, the exponential function is easy to represent in this form:

A standard single-variable graph: y = e^x

This model is powerful, but it has a limitation: a single xx can only produce one yy.

That means many geometric trajectories cannot be represented by one equation y=f(x)y=f(x), especially curves that loop back or self-intersect.

For example, this figure-eight style trajectory is easy to write parametrically but cannot be written as one single-valued function y=f(x)y=f(x):

Self-intersection example (parametric curve)


Parametric equations and parametric curves

Precise definition

Instead of defining yy directly from xx, we introduce a parameter tt and define both coordinates as functions of tt:

x=f(t),y=g(t),tI.x = f(t), \quad y = g(t), \quad t \in I.

The parametric curve is the set (trajectory) of points

(x(t),y(t))\big(x(t), y(t)\big)

as tt varies in the interval II.

How the graph is generated from points

For the curve

x(t)=sint,y(t)=sin(2t),t[π,π],x(t)=\sin t, \quad y(t)=\sin(2t), \quad t\in[-\pi,\pi],

we evaluate at sample parameter values from π-\pi to π\pi with step size π/4\pi/4:

ttx(t)=sintx(t)=\sin ty(t)=sin(2t)y(t)=\sin(2t)point
π-\pi0000(0,0)(0,0)
3π4-\frac{3\pi}{4}22-\frac{\sqrt{2}}{2}11(22,1)\left(-\frac{\sqrt{2}}{2},1\right)
π2-\frac{\pi}{2}1-100(1,0)(-1,0)
π4-\frac{\pi}{4}22-\frac{\sqrt{2}}{2}1-1(22,1)\left(-\frac{\sqrt{2}}{2},-1\right)
000000(0,0)(0,0)
π4\frac{\pi}{4}22\frac{\sqrt{2}}{2}11(22,1)\left(\frac{\sqrt{2}}{2},1\right)
π2\frac{\pi}{2}1100(1,0)(1,0)
3π4\frac{3\pi}{4}22\frac{\sqrt{2}}{2}1-1(22,1)\left(\frac{\sqrt{2}}{2},-1\right)
π\pi0000(0,0)(0,0)

In the visualization below, the sample points from the table are marked in blue and each one is labeled with its (x,y)(x,y) coordinate. The graph is also zoomed in so these sampled points are easier to read.

Point sampling creates the parametric trajectory

Then we connect these sampled points in increasing order of tt. As sampling gets denser, the plotted polyline approaches the smooth parametric curve.


Elimination of parameters

Sometimes we want an equation that only involves xx and yy. The process is called eliminating the parameter.

For the curve

x=cost,y=sint,x = \cos t, \quad y = \sin t,

we use the identity

cos2t+sin2t=1.\cos^2 t + \sin^2 t = 1.

Substituting xx and yy gives

x2+y2=1.x^2 + y^2 = 1.

So after eliminating tt, the xyxy-relation is the unit circle.

Important note: this algebraic relation gives the geometric set of points, but the parameter interval controls which part of the set is traced and how it is traced.


Example: x=cost, y=sintx=\cos t,\ y=\sin t with different parameter ranges

Ponder this question: what changes when tt varies over different intervals?

  1. t[0,2π]t \in [0,2\pi]
  2. t[2π,4π]t \in [2\pi,4\pi]
  3. t[0,π]t \in [0,\pi]

Case 1: tt from 00 to 2π2\pi

x = cos t, y = sin t, t in [0, 2pi]

This traces the full circle exactly once.

Case 2: tt from 2π2\pi to 4π4\pi

x = cos t, y = sin t, t in [2pi, 4pi]

This gives the same geometric circle, again traced once.

Case 3: tt from 00 to π\pi

x = cos t, y = sin t, t in [0, pi]

This traces only the upper semicircle.

Summary

  1. y=f(x)y=f(x) describes many curves, but not all trajectories.
  2. Parametric equations x=f(t),y=g(t)x=f(t), y=g(t) remove the single-valued restriction.
  3. A parametric curve is the trajectory traced by (x(t),y(t))(x(t),y(t)) as tt changes.
  4. Computationally, plotting is: sample tt values -> compute points -> connect points.
  5. Eliminating parameters can produce an xyxy equation, but parameter ranges still determine how much of the curve is traced.