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Multivariable Calculus
Vectors and Dot Products
01Vectors, Components, and Length in Space02Scaling and Adding Vectors: The Parallelogram Rule03The Dot Product and the Law of Cosines04Finding Angles in Space With the Dot Product05The Perpendicularity Test and the Normal Vector to a PlaneProblem set0/10Problem set 20/10MIT problem set0/2Practice∞
Determinants and the Cross Product
01The Component of a Vector Along Any Unit Direction02The 2x2 Determinant and the Area of a Parallelogram03The 3x3 Determinant and the Volume of a Box04The Cross Product and the Right-Hand Rule05The Triple Product and the Volume of a ParallelepipedProblem set0/10Problem set 20/10MIT problem set0/2Practice∞
Matrices and Inverse Matrices
01Why Swapping a Cross Product Flips Its Sign02The Equation of a Plane Through Three Points03Matrix Multiplication: Rows Dotted With Columns04Matrices as Transformations: Identity and Rotation05The Inverse Matrix and Solving AX = B06Computing a 3x3 Inverse: Minors, Cofactors, AdjointProblem set0/10Problem set 20/10MIT problem set0/2Practice∞
Planes and Square Systems
01Planes From a Point and a Normal Vector02Reading the Normal Vector Off a Plane Equation03Three Planes, One Point: Solving a 3x3 System04Invertibility, det A, and the Homogeneous System05When det A = 0: Coplanar Normals and a Line of SolutionsProblem set0/10Problem set 20/10Practice∞

Vectors, Components, and Length in Space

Why does measuring the length of an arrow in space take two right triangles stacked on top of each other rather than one?


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    1. 1

      Vector: direction, magnitude, and components

      Define a vector as an arrow with direction and length, and write it both ways: A⃗=⟨a1,a2,a3⟩=a1i^+a2j^+a3k^\vec{A} = \langle a_1, a_2, a_3 \rangle = a_1\hat{i} + a_2\hat{j} + a_3\hat{k}A=⟨a1​,a2​,a3​⟩=a1​i^+a2​j^​+a3​k^ using the unit vectors along the axes.

    2. 2

      Scalars, notation, and no fixed starting point

      Record that length ∣A⃗∣|\vec{A}|∣A∣ is a scalar, that dir A⃗\mathrm{dir}\,\vec{A}dirA comes from dividing by the length, and that PQ→\overrightarrow{PQ}PQ​ moved elsewhere is the same vector.

    3. 3

      Length formula ∣A⃗∣=a12+a22+a32|\vec{A}| = \sqrt{a_1^2 + a_2^2 + a_3^2}∣A∣=a12​+a22​+a32​​

      Work through A⃗=⟨3,2,1⟩\vec{A} = \langle 3, 2, 1 \rangleA=⟨3,2,1⟩ applying the Pythagorean theorem twice to get 14\sqrt{14}14​, then state the general formula and note it works in any number of dimensions.

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