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Takens's theorem Wikipedia Article T-Shirt
Unisex Crew Neck
25.00
22.00
Jan 12% off Sale

## Takens's theorem Shirt

A classic cotton tee emblazoned with the Wikipedia article on Takens's theorem.
• Preshrunk jersey knit
• Seamless double-needle 2.2 cm collar
• Taped neck and shoulders
• Tear away label
• Double-needle sleeve and bottom hems
• Quarter-turned to eliminate centre crease

In the study of dynamical systems, a delay embedding theorem gives the conditions under which a chaotic dynamical system can be reconstructed from a sequence of observations of the state of a dynamical system. The reconstruction preserves the properties of the dynamical system that do not change under smooth coordinate changes (i.e., diffeomorphisms), but it does not preserve the geometric shape of structures in phase space.

Takens' theorem is the 1981 delay embedding theorem of Floris Takens. It provides the conditions under which a smooth attractor can be reconstructed from the observations made with a generic function. Later results replaced the smooth attractor with a set of arbitrary box counting dimension and the class of generic functions with other classes of functions.

Delay embedding theorems are simpler to state for discrete-time dynamical systems. The state space of the dynamical system is a ${\displaystyle \nu }$-dimensional manifold ${\displaystyle M}$. The dynamics is given by a smooth map

${\displaystyle f:M\to M.}$

Assume that the dynamics ${\displaystyle f}$ has a strange attractor ${\displaystyle A\subset M}$ with box counting dimension ${\displaystyle d_{A}}$. Using ideas from Whitney's embedding theorem, ${\displaystyle A}$ can be embedded in ${\displaystyle k}$-dimensional Euclidean space with

${\displaystyle k>2d_{A}.}$

That is, there is a diffeomorphism ${\displaystyle \phi }$ that maps ${\displaystyle A}$ into ${\displaystyle \mathbb {R} ^{k}}$ such that the derivative of ${\displaystyle \phi }$ has full rank.

A delay embedding theorem uses an observation function to construct the embedding function. An observation function ${\displaystyle \alpha :M\to \mathbb {R} }$ must be twice-differentiable and associate a real number to any point of the attractor ${\displaystyle A}$. It must also be typical, so its derivative is of full rank and has no special symmetries in its components. The delay embedding theorem states that the function

${\displaystyle \phi _{T}(x)=\left(\alpha (x),\alpha \left(f(x)\right),\dots ,\alpha \left(f^{k-1}(x)\right)\right)}$

is an embedding of the strange attractor ${\displaystyle A}$ in ${\displaystyle \mathbb {R} ^{k}}$.

(from the Wikipedia article printed on this shirt)