Linear Algebra, Live
Chapter 5 · Lesson 6 · Strang §8.1, §5.1 to §5.3 · Free preview

Moving the plane and determinants

By the end of this lesson you can
  • See a matrix as a move of the plane, and build one from where two arrows land
  • Read area, volume and invertibility from one number
  • Compute any determinant three different ways
  • Solve small systems with Cramer's rule and find cross products

A matrix as a move of the whole plane, then the number that says how much it stretches area and volume: its rules, how to compute it, Cramer's rule, the inverse formula, and areas, volumes and cross products. 9 short slides, then worked examples and problems. Each slide has an everyday picture, a worked example and Python you can run right on the page.

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Slides

Free previewLesson 6TransformationsA matrix moves the whole planeOpen slide →01 · Strang §8.1 · Linear transformations

Linear Transformations and Matrices: Rotation Matrix Intuition

See a matrix move the plane. Why the columns are where (1, 0) and (0, 1) land, how a rotation matrix is built, and what the determinant measures.

Free previewLesson 6ReflectionChallenge: build a mirrorOpen slide →02 · Challenge

Reflection Matrix Challenge: Mirror the F

Build the 2x2 matrix that mirrors the plane, and see why a reflection has determinant −1. An interactive linear algebra challenge in Python.

Free previewLesson 6DeterminantThe determinant: how much a matrix stretches areaOpen slide →03 · Strang §5.1 · What the determinant measures

What Is a Determinant? Area and Volume Scale Factor

The determinant says how much a matrix stretches area (2D) or volume (3D); its sign says whether space is flipped. Examples and Python. Strang §5.1.

Free previewLesson 6Three rulesThe three rules that define the determinantOpen slide →04 · Strang §5.1 · The properties of the determinant

Properties of Determinants: The Three Rules

Three rules define the determinant: det I = 1, a row swap flips the sign, det is linear in each row. All else follows. Examples and Python. Strang §5.1.

Free previewLesson 6Det from pivotsComputing the determinant from the pivotsOpen slide →05 · Strang §5.1 · Determinants by elimination

Determinant by Elimination: Product of the Pivots

Compute any determinant by elimination: det A = ± (product of the pivots). Also det AB = det A det B and det Aᵀ = det A. Examples and Python. Strang §5.1.

Free previewLesson 6CofactorsCofactor expansion: a big determinant from smaller onesOpen slide →06 · Strang §5.2 · Permutations and cofactors

Cofactor Expansion and the 3×3 Determinant Formula

The big formula and cofactor expansion: a 3×3 determinant from 2×2 pieces with signs + − +. Worked examples and Python. Strang §5.2.

Free previewLesson 6Cramer's ruleCramer's rule and the inverse from cofactorsOpen slide →07 · Strang §5.3 · Cramer's rule and inverses

Cramer's Rule and the Inverse Matrix Formula

Cramer's rule solves Ax = b with ratios of determinants, and cofactors give A⁻¹ = Cᵀ / det A. When to use them and when not. Examples and Python. Strang §5.3.

Free previewLesson 6Cross productAreas, volumes and the cross product from determinantsOpen slide →08 · Strang §5.3 · Areas, volumes and cross products

Area of a Triangle, Volume and the Cross Product

Determinants give a triangle's area from its corners, a box's volume from its edges, and the cross product u × v. Robotics examples and Python. Strang §5.3.

Free previewLesson 6RecapWhat you can now do.Open slide →09 · Recap · Reading

Lesson 6 Recap: Determinants

Lesson 6 on one page: how a matrix moves the plane, the mirror, the determinant as an area and volume factor, the three rules, pivots, cofactors, Cramer's rule, the inverse formula and cross products.

The full course

From Ax = b to PCA, by running it

Lessons 1 to 3 are free. Finish all eight and you will be able to:

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