Before you can read a single derivation in the parent note, you need every squiggle it uses to feel obvious. This page builds each one from nothing — no prior chemistry, no prior calculus assumed.
Picture a fixed 1-litre jar. Substance A is the coloured dots floating in it. [A] is simply how crowded the dots are.
Figure 1 — Two identical 1-litre jars. The left jar holds few dots (low [A]); the right jar is packed (high [A]). Concentration is just dots-per-litre.
The subscripts you will meet:
[A]0 — concentration at the start (the little 0 means "time zero").
t is just elapsed time since the reaction began (seconds, or years for slow ones).
The Greek capital delta Δ means "change in" — the after value minus the before value. So for any quantity, Δ(quantity)=(later value)−(earlier value).
Since reactant gets used up, [A]t is smaller than [A]0, so Δ[A] is negative. Hold on to that minus sign — it is the reason a minus appears everywhere later.
Put time t on the horizontal (x) axis and concentration [A] on the vertical (y) axis. As time runs to the right, the curve slides downward because reactant is being consumed. The rate is how steeply that curve drops.
Figure 2 — Concentration [A] (y-axis) falling as time t (x-axis) increases. The red dashed chord between two points gives the average rate over the interval; the yellow tangent gives the instantaneous rate at a single moment. The curve is steep (fast) early and gentle (slow) later.
That "slope at one instant" is exactly what the derivative gives us next.
Read it out loud as "dee A dee tee" — it is Δ[A]/Δt after you shrink the run Δt down toward zero, so the two points collapse into one and the straight line becomes the tangent.
Because concentration falls, this slope is negative — so the topic writes the rate with a leading minus to keep the rate itself positive:
Put together, the whole topic hangs on one sentence:
The three cases the parent derives are just three choices of n:
Figure 3 — Rate plotted against concentration [A] for the three orders. n=0 (blue) is a flat line — rate ignores crowding. n=1 (yellow) is a straight line through the origin — rate doubles when crowding doubles. n=2 (red) curves upward — rate quadruples when crowding doubles.
n=0: crowding raised to power 0 is 1, so speed =k, flat — crowding is ignored.
n=1: speed =k[A], straight through the origin — double crowding, double speed.
An exponent is just "how many times you multiply the base by itself" — [A]3=[A]⋅[A]⋅[A]. That picture extends smoothly to any number in the exponent:
Reaction orders can be fractional (some real reactions are order 21 or 23), so the general rule matters. But the three derivations in the parent only ever use the whole-number and −1 cases below — that is why these three suffice for every worked example there:
Anything to the power 0 is 1 — this is why zero-order rate collapses to just k.
Power −1 means reciprocal (one-over) — this is why the second-order answer comes out as [A]1.
The derivative took a curve and gave us a slope. Integration does the reverse — it takes the slope rule and rebuilds the curve. The long "S" symbol ∫ means "sum up continuously."
Three specific integrals appear in the parent, one per order. You do not need to derive them here — just recognise them:
The middle integral introduces a brand-new function, ln — meet it next.
You meet ln in first-order because integrating [A]1 produces exactly ln[A] — there is no other elementary function whose slope is x1.
Figure 4 — The curves y=ex (yellow) and y=lnx (blue) are mirror images across the dashed line y=x. Because they are reflections, one function undoes the other: feed a number through ln then through ex and you get the original number back.
ex and lnxundo each other, like + and −:
This is the move used in the parent's carbon-14 (14C) example: when the equation reads ln(ratio)=−1.21, you apply e(⋯) to both sides to peel off the ln and get the ratio itself, e−1.21=0.298.
The diagram below shows how each foundation on this page feeds into the next, ending at the rate equations themselves. Read it top to bottom: concentration and time give you rate as a slope; the slope idea sharpens into the derivative; the derivative plus power rules build the rate law; integration (and its offshoots ln/e and straight-line reading) then turns that rate law into the usable formulas. If the diagram does not render on your device, the same chain is spelled out in words in this very paragraph.
Downstream, these feed Half-Life Calculations, the Arrhenius Equation, and the Steady-State Approximation.