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Contemplanda

University mathematics

Linear algebra

In development

Vectors, vector spaces, and the linear maps and matrices that transform them.

10 units · 22 lessons · 173 practice items

Linear algebra develops vectors and the maps between vector spaces. You begin with vector arithmetic and magnitude, then define vector spaces and the spaces of matrices and polynomials that behave the same way. The middle units build the dot product, orthogonality, and projections, and the later units turn to linear maps and the matrices that carry out dilation, rotation, reflection, shears, and their composition.

Each lesson sets an explanation next to guided proofs you assemble from blocks or complete a step at a time, with computation you enter directly, and about two thirds of the problems carry hints. All ten units of the outline are published; they are still slim, and lessons are being added within them.

Syllabus

Every published lesson in this course, by unit.

Vectors, magnitude, and arithmetic2 lessons
  1. 1Vectors and magnitude
  2. 2Vector arithmetic and unit vectors
Vector spaces2 lessons
  1. 1R^n is a vector space: the eight axioms
  2. 2Vector spaces over a field
Matrix and polynomial spaces1 lesson
  1. 1Matrix and polynomial spaces
The dot product2 lessons
  1. 1The dot product
  2. 2The algebra of dot products
Orthogonality and inequalities2 lessons
  1. 1Orthogonality and the Pythagorean theorem
  2. 2The Cauchy–Schwarz and triangle inequalities
Projections and angles between vectors3 lessons
  1. 1Projection and rejection
  2. 2Properties of the projection
  3. 3Angles between vectors
Cross products and direction angles3 lessons
  1. 1The cross product
  2. 2Triple products
  3. 3Direction angles and direction cosines
Linear maps2 lessons
  1. 1What makes a map linear
  2. 2The kernel and injectivity
Dilation, projection, and rotation matrices3 lessons
  1. 1Dilation matrices
  2. 2Projection matrices
  3. 3Rotation matrices
Reflections, shears, and composition2 lessons
  1. 1Reflection matrices
  2. 2Shear matrices