Derivative of y = x
Set off walking at a steady one metre per second. After 1 second you've
gone 1 metre. After 7 seconds, 7 metres. After 42 seconds, 42 metres. Your distance
is the time — the two numbers agree forever, because you are covering exactly one
metre for every second that passes. Plot distance against time and you get the tidiest
graph in mathematics:
f(x) = x
Whatever goes in comes straight back out — mathematicians call it the
identity function, and its graph is the mirror line through the
origin at 45^\circ, the line every input can see its own
reflection on. It is the function that changes at exactly its own pace:
one unit of rise for one unit of run, at every single point.
We've just seen that a flat line — a
constant function —
has slope 0 everywhere: change the input, and the output doesn't
budge. Now let the line tilt to its simplest possible slope. This page proves the second
rung of the ladder we're climbing (constant, then x, then
x^2, then x^3, then every power at
once):
\frac{d}{dx}\bigl[\,x\,\bigr] = 1
It looks almost too small to bother proving. It isn't. Slope 1
is the calibration point for every slope you will ever meet: a curve with
derivative 3 is climbing three times as fast as
y = x; a derivative of \tfrac12 means
half its pace; a derivative of -1 is the same tilt, mirrored
downhill. Once you own this line, every other steepness is measured against it.
A line through the origin: y = mx
Before we zoom in on y = x, look at the whole family it belongs
to. Any straight line through the origin can be written
y = mx
where m is the slope. Slope is
\dfrac{\text{rise}}{\text{run}}: take a run of
1 to the right and the line rises by exactly
m, so \dfrac{\text{rise}}{\text{run}} = \dfrac{m}{1} = m
— and it's the same at every point on the line. A straight line is the one graph
whose steepness never varies: that's what "straight" means. Drag the point along
the line, and move the m slider to tilt it: the run stays
1 while the rise tracks m.
Now set m = 1. The line is our y = x:
a run of 1 gives a rise of 1, so its
slope is exactly 1 — the same at x = 0,
at x = 2.5, at x = -1{,}000{,}000.
Park the point anywhere you like: the little rise-over-run staircase never changes shape.
That constant slope is the derivative we're after. While you're here, try
m = 0 too — the line goes flat, and you're looking at the
previous lesson's rule from this lesson's point of view.
The proof: drop f(x) = x into the difference quotient
A picture is persuasive, but calculus runs on the
difference quotient,
so let's earn the rule properly. The recipe never changes: write down
f(x+h), subtract f(x), divide by
h, and see what happens as h shrinks.
Step 1 — the two ingredients. The identity function makes these
embarrassingly easy. The output at x + h is just
x + h (whatever goes in comes back out), and the output at
x is x:
f(x + h) = x + h, \qquad f(x) = x.
Step 2 — subtract and divide.
\frac{f(x+h) - f(x)}{h} = \frac{(x+h) - x}{h} = \frac{h}{h} = 1.
The x's cancel completely — the starting position doesn't
matter, only the step does. And notice the cancellation
\tfrac{h}{h} = 1 is perfectly legal: throughout the algebra
h is a genuine nonzero step, so we never divided by
zero. We only send h \to 0 at the very end.
Step 3 — the limit. Usually this is where the interesting shrinking
happens. Here there is nothing left to shrink — the quotient is already the constant
1 for every step size, big or small:
f'(x) = \lim_{h \to 0} \frac{(x+h)-x}{h} = \lim_{h \to 0} 1 = 1.
That's the geometric fact in algebraic dress: on a straight line, every secant already
is the tangent. Take a huge step (h = 100) or a tiny
one (h = 0.001) — the line through your two points is the line
itself, slope 1 either way. The limit has nothing to do because
the answer arrived before the shrinking started.
-
For f(x) = x,
\frac{d}{dx}\bigl[\,x\,\bigr] = 1.
-
The slope is 1 at every point: for any
a, f'(a) = 1.
-
The derivative of x is the constant function
1 — a number, with no x left in
it.
Two slips catch nearly everyone on this rung of the ladder:
-
The derivative of x is 1,
not x. Differentiating doesn't "keep the
x" — it answers a different question entirely. The function
f(x) = x tells you where you are (at time 7, you're
at 7 metres); its derivative tells you how fast that's changing (1 metre per
second, always). Position grows without bound; the pace never moves off
1. If your derivative of x still
has an x in it, the x's didn't
cancel — go back and watch them cancel in step 2.
-
Don't over-claim yet. Staring at the y = mx
slider, you can surely guess that \dfrac{d}{dx}[mx] = m —
and you'd be right. But this page only proves the m = 1
case. Pulling a constant multiple out through the derivative is its own tool, the
constant multiple rule, and it gets earned on its own page. In calculus, a
pattern spotted is a conjecture; a pattern proved is a rule. Today we banked exactly one:
m = 1.
See it together
Here are the function and its derivative on one set of axes. The line
f(x) = x (solid) climbs at a steady
45^\circ; its derivative f'(x) = 1
(dashed) is a flat line at height 1, because the slope is the
constant 1 everywhere.
Read the pair the way a physicist would: if the solid line is your distance–time graph
(walking at one metre per second), the dashed line is your speedometer — pinned at
1 for the whole journey. Compare it with the previous rung: a
constant function's derivative was the flat line at height 0;
the identity's derivative is the flat line at height 1. In both
cases a straight graph produces a flat derivative — steepness that never
changes. The first curve whose derivative actually varies is waiting on the next rung,
y = x^2.
Slide it up: the derivative of x + c
Now combine today's rule with the last one. What is the derivative of
f(x) = x + 5? Think about the walk again — but this time you
start with a 5-metre head start. After t
seconds you're at t + 5 metres. You're always five metres ahead
of before, but your speed hasn't changed at all: still one metre per second. A
head start changes where you are, never how fast you're going.
The difference quotient agrees — the constant rides along and cancels itself out:
\frac{f(x+h) - f(x)}{h} = \frac{\bigl[(x+h) + 5\bigr] - \bigl[x + 5\bigr]}{h} = \frac{h}{h} = 1.
The 5's met each other in the subtraction and vanished, exactly
as the x's did. And nothing about the argument used the number
5 — any constant c would have
cancelled the same way:
\frac{d}{dx}\bigl[\,x + c\,\bigr] = 1 \quad \text{for every constant } c.
Geometrically, adding c just slides the whole line straight up
(or down, if c is negative) without tilting it — the three lines
below are perfectly parallel, so they share the slope 1. An
infinite family of different functions, one and the same derivative.
Functions of the form y = mx are everywhere, because they are
the conversions: seconds to minutes, pounds to pence, kilometres to miles.
"Multiply by 60" turns minutes into seconds —
s = 60m — and that 60 is the
slope: every extra minute costs exactly 60 extra seconds, no
matter how many minutes you already have. A conversion is a function whose derivative is
the exchange rate, constant everywhere.
And the identity y = x? It's the conversion that converts
nothing: metres to metres, at a rate of 1. That sounds useless,
but "do-nothing" elements are quietly load-bearing all over mathematics. The number
1 is the do-nothing of multiplication
(1 \times a = a); 0 is the do-nothing
of addition; the identity function is the do-nothing of function machines — feed
anything through, get it back unchanged. Whole branches of modern mathematics (group
theory, linear algebra, category theory) begin by demanding: first, show me your
do-nothing element. So it's rather satisfying that the do-nothing function's
derivative is 1 — the do-nothing number. Do-nothing in,
do-nothing out.
Worked examples, start to finish
Example 1 — a slope at a named point. Find the gradient of
y = x at x = 137. No computation
needed once you own the rule: f'(x) = 1 for all
x, so f'(137) = 1. The whole point of
a rule is that the once-and-for-all proof replaces a fresh limit calculation at
every point.
Example 2 — a shifted line. Find \dfrac{dy}{dx}
for y = x - 12. This is x + c with
c = -12: the line y = x slid down 12,
still tilted at 45^\circ. Answer:
\dfrac{dy}{dx} = 1.
Example 3 — the tangent line. Write the equation of the tangent to
y = x at the point (3, 3). The
tangent has slope f'(3) = 1 and passes through
(3,3), so it is
y - 3 = 1 \cdot (x - 3), i.e.
y = x — the line itself. Of course: a straight line is
its own tangent, at every one of its points. That's the cleanest possible check that the
tangent-line machinery is working.
Example 4 — a reading question. A lift rises so that its height in metres
equals the time in seconds since it started: h(t) = t. How fast
is it rising at t = 30? The rate of change of
t with respect to t is
h'(t) = 1, so it's rising at 1 metre
per second — at t = 30, at t = 3, and
at every other moment of the trip.