MakarovSuites
English
EnglishDeutschРусскийУкраїнськаFrançaisEspañolItalianoPolski
Contact & licences

Math

Knots

Torus knots and links: the trefoil, the cinquefoil, Solomon's link, and the crossings a picture cannot get rid of.

Knots — Actual application image
Actual application image

What happens

Wind a curve p times round the hole of a torus and q times round its tube and you have T(p, q): a knot when p and q share no factor, a link of gcd(p, q) pieces when they do. The picture here counts its own crossings for whatever view the camera has, and the number never drops below min(p(q − 1), q(p − 1)) - that is what an invariant is. Look straight down the torus axis and it lands on the minimum. Swap p and q: the picture changes, the knot does not, and the invariants say so. A bead runs the whole curve to show it is one; each component of a link gets its own colour and its own bead.

Equations used in the module
Equations
T(p, q):  x = (R + r cos qt) cos pt,  y = (R + r cos qt) sin pt,  z = r sin qt
components = gcd(p, q);   crossing number c = min(p(q − 1), q(p − 1))
genus = (p − 1)(q − 1)/2;   Δ(t) = (t^pq − 1)(t − 1) / ((t^p − 1)(t^q − 1))
T(p, q) = T(q, p): the same knot, another picture

Related experiments

Back to catalogue
Linear transformations — Actual application image

Math

Linear transformations

The whole space deformed by a matrix: the unit cube carries the determinant and turns inside out through zero volume, the unit ball becomes the ellipsoid of the singular values, and the eigenvectors are the rods that do not turn.

Eigenvectors — Actual application image

Math

Eigenvectors

Explore power iteration: repeated multiplication can align vectors with a dominant eigenvector. Compare the measured angular error with the asymptotic spectral ratio, and inspect the Rayleigh quotient for symmetric matrices.

Singular value decomposition — Actual application image

Math

Singular value decomposition

Any matrix as a rotation, a stretch and another rotation: the unit sphere turns, stretches into the ellipsoid of the singular values and turns into place, one factor at a time, and the one tripod whose images stay orthogonal is measured, not drawn.