Mathematics RU

Mathematics

Linear algebra

Every chapter of the course by topic, level and part. You can pick several topics at once — say, “Puzzles” and “Probability”.

35 Matrices as transformations Four numbers in two columns can rotate the plane, stretch it, skew it, reflect it in a mirror or squash it flat onto a line. Let’s learn to read a matrix as the blueprint of a deformation: chain deformations together, undo them, and tell from a single number how much area changes. Years 1–2 50 min 36 Gaussian elimination How to find a lost planet from a few observations: turn a system of many equations into a staircase and read the answer from the bottom up. The steps show at once whether the system has one solution, infinitely many or none. Years 1–2 55 min 37 Vector spaces Arrows, polynomials, sound signals and even magic squares are added and multiplied by numbers by the same rules. Eight axioms, and everything we know about arrows starts working in all these worlds at once. Years 1–2 60 min 38 Eigenvectors A matrix usually turns vectors, but many matrices have directions they only stretch. Let’s find them, and it will turn out that the Fibonacci numbers, the Google search engine and a tilted ellipse all work the same way. Years 1–2 50 min 39 Orthogonality, least squares and SVD A data lab: the measurements won’t lie on a line, a cloud of points is stretched on a slant, a photograph takes up too much space. One idea copes with all three problems: drop a perpendicular. Years 1–2 60 min 55 Functional analysis A function is a point of a space with infinitely many dimensions. It has lengths, angles and projections, Pythagoras’ theorem with infinitely many legs gives π²/6 once again, and the fixed point of a contraction draws a fern. But some familiar things break at this border. Year 3 and up 60 min