Let $f: \mathcal{M} \rightarrow \mathcal{M}$ be a smooth diffeomorphism and $\phi: \mathcal{M} \rightarrow \mathbb{R}$ be a smooth function, where $\mathcal{M}$ is a $d$-dimensional manifold (which we assume to be $\mathcal{M}=\mathbb{R}^{d}$ ).
According to Takens' embedding theorem (1981) there exists an embedding of $\mathcal M$ via $$\Phi_{f,\phi}:\mathcal M \rightarrow \mathbb{R}^{2d+1}$$ with $$\Phi_{f,\phi}(x)=(\phi(x),\phi(f(x)),...,\phi(f^{2m}(x))^T.$$
In some references, I read that an embedding is a smooth one-to-one map with a smooth inverse. I would like to prove this result but I have no idea how to proceed rigorously.
For example, from the Chain Rule, all the entries of $\Phi$ are smooth by assumptions. But what to say for its inverse? Since $f$ is a diffeomorphism its inverse should be smooth. And then? References and suggestions are welcome.
EDIT Below you will find the changes I made to this post following the comments received.
This is Takens' theorem I was referring to.
It is the Theorem 1 of the paper:
Takens, Floris. "Detecting strange attractors in turbulence." Dynamical systems and turbulence, Warwick 1980. Springer, Berlin, Heidelberg, 1981. 366-381.
The following is taken instead from a paper by Casdagli et al
The paper is:
Casdagli, Martin, et al. "State space reconstruction in the presence of noise." Physica D: Nonlinear Phenomena 51.1-3 (1991): 52-98.
Below Eq. (4) I read: An embedding is a smooth, one-to-one coordinate transformation with a smooth inverse.