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Multivariable Calculus

Calculus in more than one dimension: surfaces instead of curves, gradients instead of slopes, volumes instead of areas. Everything here is drawn in 3D — a surface you can rotate is worth a page of symbols.

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Chapters from Boelkins et al., Active Calculus Multivariable

Every section of the book, condensed into a lesson with its own practice problems.

1. Precalculus of Multivariable Functions

2. Vector-Valued Functions of One Variable

3. Derivatives of Multivariable Functions

4. Multiple Integrals

5. Vector Calculus

Chapters from OpenStax Calculus Volume 3

Every section of the book, condensed into a lesson with its own practice problems.

1. Parametric Equations and Polar Coordinates

2. Vectors in Space

3. Vector-Valued Functions

4. Differentiation of Functions of Several Variables

5. Multiple Integration

6. Vector Calculus

Symbols used here

\frac{\partial f}{\partial x}
partial derivative
Derivative with respect to x, holding the other variables fixed.
\nabla f
gradient (nabla, del)
Vector of partial derivatives; points uphill.
\int f(x)\,dx,\ \int_a^b
integral
Antiderivative (indefinite) or signed area from a to b (definite).
\iint,\ \oint
double / contour integral
Integral over a region of the plane; integral around a closed curve.
\mathbf{v},\ \vec{v}
vector
A quantity with magnitude and direction; a column of numbers.
\mathbf{u} \cdot \mathbf{v},\ \|\mathbf{v}\|
dot product, norm
Σ u_i v_i; the length of v, √(v·v).

Questions people ask

What is a partial derivative?

The ordinary derivative with respect to one variable while every other variable is frozen — the slope of the surface in one coordinate direction.

What does the gradient point at?

Uphill: the direction of steepest increase, with length equal to that steepest slope. It is perpendicular to the level curves.

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