2.2.5 · D2Functions

Visual walkthrough — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

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Every function type in the parent note looks the way it does for one reason: the way its rate of change behaves. This page derives the whole family from absolute zero, one picture at a time. We start with a machine that never changes, and by the end we build up to curves that fly off to infinity.

Before line one, three words we will use constantly:

We only need the idea of "nudge , watch the height." That's it. No calculus notation yet.


Step 1 — The machine that ignores you: the constant

WHAT. Build the simplest possible rule: whatever number you put in, the same number comes out. Written .

WHY. Notice there is no on the right side. That single fact means: nudging changes nothing. So the rate of change is everywhere.

PICTURE. Feed in — all three land at the same height . Connect them and you get a flat horizontal line (the blue line below). The vertical drop for any horizontal step is zero — that is flatness.

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

Constant rate → flat line. Remember this: the rate of change is the thing that shapes the graph. Every later step just makes that rate more interesting.


Step 2 — Let the rate be a fixed number: the line

WHAT. Instead of "rate ", demand "rate , some constant number." Every time goes up by , the height goes up by exactly .

Here (the Greek letter "delta") is shorthand for "the change in." So = "how far I stepped sideways," = "how far the height moved."

WHY. We choose a constant rate because that is the very next-simplest thing after zero. Rearranging, one sideways step of size always produces the same rise . Start from the height at and walk units right:

PICTURE. Look at the yellow staircase: each tread is width , each riser is height . Because every step is identical, the corners line up perfectly straight — that is why constant rate forces a straight line. Change and the staircase tilts; change and the whole staircase slides up or down.

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

Step 3 — Let the rate itself change: the quadratic bends

WHAT. Now make the rate not fixed but linear: the steepness grows like . Accumulate that changing rate and you get:

WHY. In Step 2 a constant rate gave a straight line. If the rate increases as you move right, each step is a little steeper than the last, so the graph must curve upward. A rate that changes linearly is the simplest curving rate — and adding up (accumulating) a linear rate gives a squared term. That is the fingerprint of "acceleration."

PICTURE. Watch the green curve: near the left the steps are shallow, near the right they are steep. The steepness is itself growing — the curve bows. The lowest point (the vertex) is where the rate momentarily passes through zero before turning positive.

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

Where is that vertex? Complete the square (regroup so the -terms hide inside one perfect square):

A squared thing is smallest when it equals zero, i.e. when . That is the vertex's -coordinate — the balance point of the parabola.


Step 4 — Stack more bends: the polynomial

WHAT. Keep going. Let the rate change in more and more elaborate ways by allowing higher powers:

The biggest power is the degree. Each extra degree buys you one more possible turn in the curve — up to bends.

WHY. A degree- polynomial can wiggle up to times because that many turns is exactly what its changing rate permits. But far from the origin, the largest power dwarfs all the smaller ones — a big number raised to a big power crushes everything else.

PICTURE. The figure shows a cubic (degree 3, two bends) and a quartic (degree 4, three bends). Zoom out and both curves flatten into the shape of their leading term alone — the coloured dashed guides.

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

Step 5 — Divide one curve by another: the rational blow-up

WHAT. Take two polynomials and put one over the other:

WHY. Something brand-new happens that never happened before: the bottom can hit zero. Dividing by zero is forbidden, so at those -values the function has no output at all. As creeps toward such a value, the denominator becomes tiny, and a fixed top divided by a tinier-and-tinier bottom rockets toward . That runaway line is a vertical asymptote.

PICTURE. Study . As the red curve approaches from the right the height explodes up; from the left it plunges down. The curve hugs the dashed vertical line at but never touches it. Far to the sides, the height flattens toward — a horizontal asymptote, set by the ratio of the leading terms.

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

Step 6 — The two degenerate edge cases

WHAT. Two special situations break the smooth pattern and deserve their own picture.

Case A — the radical's wall. exists only where , because a real square root of a negative number does not exist. So the graph simply stops at — a hard left wall (the domain is cut in half).

Case B — the piecewise jump. A piecewise rule uses different formulas on different regions, e.g.

Here the graph can jump with no warning — it need not be joined at all (a break in continuity).

WHY. These show the boundaries of "smooth curve" thinking: a radical restricts where the machine works; a piecewise rule lets the machine switch personalities at a boundary. Neither is exotic — both are just honest about where their rule applies.

PICTURE. Left panel: the blue half-curve of starting dead at the origin, nothing to its left. Right panel: the yellow step that leaps from to at (open circle = "not included," filled circle = "included").

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise

The one-picture summary

All six types side by side, arranged by how their rate of change behaves — the single thread running through the whole derivation:

Figure — Types — constant, linear, quadratic, polynomial, rational, radical, piecewise
Recall Feynman retelling — say it like you'd explain to a friend

Imagine a little dot walking left to right, and ask only one question: how is its height changing right now?

  • If the height never changes, you get a flat line — that's a constant.
  • If it changes by the same amount every step, you get a straight tilt — that's a line.
  • If the amount of change is itself changing steadily, the walk curves into a parabola — a quadratic.
  • Let the change wiggle in fancier ways and you can bend the path several times — that's a polynomial, and the biggest power tells you how far off it flies at the edges.
  • Divide one such curve by another, and wherever the bottom becomes zero the height explodes to infinity — that's a rational function with its vertical walls.
  • Finally, some machines only work on part of the number line (radicals, which need non-negative insides) or switch rules partway across and jump (piecewise).

Six shapes, one idea: the graph is just a drawing of how fast the height is moving. Master the rate, and you already know the shape.

Recall Quick self-test

Constant function's rate of change is ::: zero everywhere, so its graph is a flat horizontal line. What single sign decides if a parabola opens up or down? ::: the sign of (up if , down if ). Why does blow up at ? ::: the denominator hits zero there, and dividing a fixed number by something shrinking to zero grows without bound. Why does have no graph for ? ::: a real square root of a negative number does not exist, so those inputs are outside the domain.

See also: M02.01 Function Definition · M04.01 Derivatives (the rate of change made precise) · M02.04 Function Transformations · M02.06 Inverse Functions · M05.01 Integration (accumulating a rate, as in Step 3).