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Calculus

Calculus is the mathematics of change and accumulation. Its whole edifice rests on a single idea — the limit — which makes precise what it means to approach a value without ever arriving.

FIG_002
xn = 32
abf\int_a^b f
ab
The integral: midpoint rectangles refine into the exact area under a curve.

Everything begins with the tangent-line problem. Fix a point on a curve, take a second nearby, and draw the line through both. As the second point slides in, that secant pivots toward a single limiting line — the tangent, whose slope is the derivative.

The derivative is an instantaneous rate of change: velocity from position, marginal cost from cost, slope from height. Differentiation turns a function into its rate function, and a small kit of rules — the product, quotient, and chain rules — differentiates almost anything you can write down.

FIG_003
xLa
ε\varepsilon
δ\delta
The ε–δ definition: for every tolerance ε there is a neighbourhood δ whose graph stays inside the band.

Integration runs the other way. Instead of measuring how fast a quantity changes, it accumulates — summing infinitely many infinitesimal contributions into an area, a volume, a total distance. The definite integral is the limit of Riemann sums as the rectangles thin.

The two operations are inverses. The Fundamental Theorem of Calculus says that differentiation and integration undo each other, which is why an area problem can be solved by finding an antiderivative rather than summing rectangles by hand.

FIG_001
xP
Δx\Delta x
Δy\Delta y
Qtangent
f(x)f'(x)
The derivative: a secant line sweeps to the tangent as Δx → 0, giving the instantaneous slope f'(x).
FIG_004
P1P_1
P3P_3
P5P_5
sinx\sin x
Taylor series: polynomials of rising degree hug a function over a widening interval.

Push the limit further and functions become infinite sums. A Taylor series rebuilds a function from its derivatives at a point, so a few polynomial terms approximate sine, the exponential, or a logarithm as closely as you please.

FIG_005
x
f(x)=0f'(x)=0
x*
Optimization: at a maximum the tangent goes flat and f'(x) = 0.

The payoff is everywhere. Setting the derivative to zero locates maxima and minima — the heart of optimization — while related rates, arc length, and accumulated change turn geometry and physics into solvable equations.

The same three ideas — limit, derivative, integral — then extend to curves and surfaces and to fields in space, ending with the great theorems of Green, Stokes, and Gauss that unify them all.

Contents.

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8. Parametric Equations and Polar Coordinates

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