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Alba Larraya Sancho
95fa72ff05 cambio en un dibujo 2026-09-24 15:55:46 +02:00
Alba Larraya Sancho
e0c4a4604e cambio en un dibujo 2026-09-24 15:42:04 +02:00

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@ -145,11 +145,21 @@ and the restriction of $r_{1t}$ to $M_1\cap\RR^{n+1}$ is the inclusion.
%where $\Re$ and $\Im$ take the real and imaginary part of each coordinate of a point, respectively. %where $\Re$ and $\Im$ take the real and imaginary part of each coordinate of a point, respectively.
Note that for $(x_0,\dots,x_n)\in M_1$, we already have that Note that for $(x_0,\dots,x_n)\in M_1$, we already have that
<<<<<<< HEAD
\begin{equation*}
\begin{array}{lll}
\sum x^r_j & = & 1 \\
\sum x^i_j & = & 0 \\
\end{array}
\end{equation*}
and therefore $r_1(x_0,\dots,x_n,t)\in M_1$ for all $t\in[0,1]$, and in particular, we get that $r_1(x_0,\dots,x_n,1)=(x^r_0,\dots,x^r_n)\in M_1\cap\RR^{n+1}$ for all $(x_0,\dots,x_n)\in M_1$.
=======
\begin{align*} \begin{align*}
\sum_{j=0}^n x^r_j & = 1 \\ \sum_{j=0}^n x^r_j & = 1 \\
\sum_{j=0}^n x^i_j & = 0 \\ \sum_{j=0}^n x^i_j & = 0 \\
\end{align*} \end{align*}
and therefore $r_1(x_0,\dots,x_n,t)\in M_1$ for all $t\in[0,1]$, and in particular, we get that $r_1(x_0,\dots,x_n,1)=(x^r_0,\dots,x^r_n)\in M_1\cap\RR^{n+1}$ for all $(x_0,\dots,x_n)\in M_1$. and therefore $r_1(x_0,\dots,x_n,t)\in M_1$ for all $t\in[0,1]$, and in particular, we get that $r_1(x_0,\dots,x_n,1)=(x^r_0,\dots,x^r_n)\in M_1\cap\RR^{n+1}$ for all $(x_0,\dots,x_n)\in M_1$.
>>>>>>> 2a87fee69dfb1e6fdd6e608f9b4ee957cc3f5a74
Let us summarize it. Let us summarize it.
@ -182,6 +192,7 @@ S_1&=\left\{(x_0,\dots,x_n)\in\RR^{n+1}\,\middle|\,\sum_{i=0}^n x_i=1, x_i\geq1\
\end{align*} \end{align*}
\end{proof} \end{proof}
\begin{figure}[ht] \begin{figure}[ht]
\begin{center} \begin{center}
\begin{tikzpicture}[scale=0.7,every text node part/.style={align=center}] \begin{tikzpicture}[scale=0.7,every text node part/.style={align=center}]
@ -234,13 +245,13 @@ S_1&=\left\{(x_0,\dots,x_n)\in\RR^{n+1}\,\middle|\,\sum_{i=0}^n x_i=1, x_i\geq1\
\end{center} \end{center}
\end{figure} \end{figure}
As we can see in Figure \ref{fig:triangulo}, the hyperplanes defined by $\{x_i=0\}$ divide the space $S_1$ in $2^{n+1}-1$ regions. We denote each of these regions as $(\pm,\dots,\pm)$ indicating which coordinates are greater or equal to $0$ and which are lower or equal to $0$. For example, the triangle corresponding to $S_1$ would be $(+,\dots,+)$. As we can see in Figure \ref{fig:triangulo}, the hypersurfaces defined by $\{x_i=0\}$ divide the space in $2^{n+1}-1$ sections. We denote each of these sections as $(\pm,\dots,\pm)$ indicating which coordinates are greater or equal to $0$ and which are lower or equal to $0$. For example, the triangle corresponding to $S_1$ would be $(+,\dots,+)$.
Note that there is no region $(-,\dots,-)$. Note that there is no section $(-,\dots,-)$.
The retraction in $(+,\dots,+)$ is the identity for any value of $t$. For the rest of the parts, we define a retraction: The retraction in $(+,\dots,+)$ is the identity for any value of $t$. For the rest of the parts, we define a retraction:
\begin{equation*} \begin{equation*}
\begin{tikzcd}[row sep=0pt,/tikz/column 1/.append style={anchor=base east}, /tikz/column 2/.append style={anchor=base west}] \begin{tikzcd}[row sep=0pt,/tikz/column 1/.append style={anchor=base east}, /tikz/column 2/.append style={anchor=base west}]
(M_1\cap\RR^{n+1})\times{[0,1]}\rar["r_2"]&M_1\cap\RR^{n+1}\\ (M_1\cap\RR^{n+1})\times{[0,1]}\rar["r_2"]&M_1\cap\RR^{n+1}\times [0,1]\\
(Q, t)\rar[mapsto]& t P_Q + (1 - t) Q, (Q, t)\rar[mapsto]& t P_Q + (1 - t) Q,
\end{tikzcd} \end{tikzcd}
\end{equation*} \end{equation*}
@ -320,6 +331,7 @@ m(x,t)=+\sqrt{x_r^2+(1-t)^2x_i^2} \text{ and } \theta(x,t)=\arctan\frac{(1-t)x_i
\] \]
We can divide $\CC$ in $2d$ sectors of angle $\frac{\pi}{d}$ as in Figure~\ref{divisionC}, where each of the sections will be homeomorphic to either the upper half complex plane or to the lower half one. We can divide $\CC$ in $2d$ sectors of angle $\frac{\pi}{d}$ as in Figure~\ref{divisionC}, where each of the sections will be homeomorphic to either the upper half complex plane or to the lower half one.
\begin{figure}[h] \begin{figure}[h]
\begin{center} \begin{center}
%\begin{tikzpicture}[scale=0.6] %\begin{tikzpicture}[scale=0.6]
@ -337,8 +349,9 @@ We can divide $\CC$ in $2d$ sectors of angle $\frac{\pi}{d}$ as in Figure~\ref{d
%\end{tikzpicture} %\end{tikzpicture}
% %
\begin{tikzpicture} \begin{tikzpicture}
\foreach \x in {0, ..., 16}{ \foreach \x in {0, ..., 5}{
\draw (0,0) to (360/17*\x:3);} \draw (0,0) to (360/6*\x:3);}
\draw[->] (1.5,0) to[out=90, in=350] (0.6,1.1) node[ xshift=1.0cm, yshift=-0.2cm]{$\pi/d$};
\end{tikzpicture} \end{tikzpicture}
@ -389,8 +402,8 @@ G(z,t)^d\dar[equal, equal]&=&m(z,t)^d\exp{\left(i\arctan((1-t)\tan d\theta)\righ
We can then write the lifting of $r_1$ as $\tilde{r}_1((x_0,\dots,x_n),t)=(G(x,t), \dots, G(x_n,t))$. We can then write the lifting of $r_1$ as $\tilde{r}_1((x_0,\dots,x_n),t)=(G(x,t), \dots, G(x_n,t))$.
Lastly, we are going to see how to lift $r_2$ in order to get a retraction from $M_d\cap\{x^d_0, \ldots , x^d_n\in\RR\}$ into $S_d$. Lastly, we are going to see how to lift $r_2$ in order to get a retraction from $M_d\cap\{x^d_0, y^d, x^d_n\in\RR\}$ into $S_d$.
For a point $P=(x_0\xi_0,\dots,x_n\xi_n)\in M_d\cap\{x^d_0, \ldots , x^d_n\in\RR\}$ (where $(x_0,\dots,x_n)$ are real and $\xi_i$ are $d$-th roots of unity), the corresponding point in $M_1\cap\RR^{n+1}$ is $(x^d_0,\dots,x^d_n)$ and therefore the goal point of the retraction $r_2$ will be For a point $P=(x_0\xi_0,\dots,x_n\xi_n)\in M_d\cap\{x^d_0, y^d, x^d_n\in\RR\}$ (where $(x_0,\dots,x_n)$ are real and $\xi_i$ are $d$-th roots of unity), the corresponding point in $M_1\cap\RR^{n+1}$ is $(x^d_0,\dots,x^d_n)$ and therefore the goal point of the retraction $r_2$ will be
\begin{equation} \begin{equation}
P^d_Q=\left(\frac{x^d_0\chi_0}{1-\sum x^d_j(1-\chi_j)}, \dots,\frac{x^d_n\chi_n}{1-\sum x^d_j(1-\chi_j)} \right) P^d_Q=\left(\frac{x^d_0\chi_0}{1-\sum x^d_j(1-\chi_j)}, \dots,\frac{x^d_n\chi_n}{1-\sum x^d_j(1-\chi_j)} \right)
\end{equation} \end{equation}
@ -434,6 +447,23 @@ We have then proved that $S_d$ is a strong deformation retract of $M_d$.
If $[x^d_0: \dots: x^d_n]$ is in $(+,\dots,+)$, the retraction is the identity, and therefore both representatives will stay the same and therefore go to the same class. If $[x^d_0: \dots: x^d_n]$ is in $(+,\dots,+)$, the retraction is the identity, and therefore both representatives will stay the same and therefore go to the same class.
For the rest of the regions, we have For the rest of the regions, we have
<<<<<<< HEAD
\begin{equation}
\begin{array}{lll}
\tilde{r}_2([x_0\xi_0:\dots:x_n\xi_n], t)& =& \left[\sqrt[d]{(1-t)x^d_0+t\frac{x^d_0\chi_0}{1-\sum x^d_j(1-\chi_j)}}\xi_0:\dots:\sqrt[d]{(1-t)x^d_n+t\frac{x^d_n\chi_n}{1-\sum x^d_j(1-\chi_j)}}\xi_n\right]
\end{array}
\end{equation}
Then, for the point $\lambda p$ we get
\begin{equation}
\begin{array}{lll}
\tilde{r}_2([\lambda x_0\xi_0:\dots:\lambda x_n\xi_n], t)&=&\left[\sqrt[d]{(1-t)\lambda^d x^d_0+t\frac{\lambda^d x^d_0\chi_0}{1-\sum \lambda^d x^d_j(1-\chi_j)}}\xi_0:\dots:\sqrt[d]{(1-t)\lambda^d x^d_n+t\frac{\lambda^d x^d_n\chi_n}{1-\sum \lambda^d x^d_j(1-\chi_j)}}\xi_n\right]\\
&=&\left[\sqrt[d]{(1-t)x^d_0+t\frac{x^d_0\chi_0}{1-\sum x^d_j(1-\chi_j)}}\xi_0:\dots:\sqrt[d]{(1-t)x^d_n+t\frac{x^d_n\chi_n}{1-\sum x^d_j(1-\chi_j)}}\xi_n\right]\\
\end{array}
\end{equation}
=======
\begin{equation*} \begin{equation*}
\tilde{r}_2([x_0\xi_0:\dots:x_n\xi_n], t) =\left[H(x_0,\chi_0)\xi_0:\dots:H(x_n,\chi_n) \xi_n\right] \tilde{r}_2([x_0\xi_0:\dots:x_n\xi_n], t) =\left[H(x_0,\chi_0)\xi_0:\dots:H(x_n,\chi_n) \xi_n\right]
\end{equation*} \end{equation*}
@ -446,6 +476,7 @@ Then, for the point $\lambda p$ we get
\tilde{r}_2([\lambda x_0\xi_0:\dots:\lambda x_n\xi_n], t)&=\left[H(\lambda x_0, \chi_0)\xi_0:\dots:H(\lambda x_n, \chi_n)\xi_n\right]\\ \tilde{r}_2([\lambda x_0\xi_0:\dots:\lambda x_n\xi_n], t)&=\left[H(\lambda x_0, \chi_0)\xi_0:\dots:H(\lambda x_n, \chi_n)\xi_n\right]\\
&=\left[H( x_0, \chi_0)\xi_0:\dots:H(x_n, \chi_n)\xi_n\right]. &=\left[H( x_0, \chi_0)\xi_0:\dots:H(x_n, \chi_n)\xi_n\right].
\end{align*} \end{align*}
>>>>>>> 2a87fee69dfb1e6fdd6e608f9b4ee957cc3f5a74
So we see that $\tilde{r}_2$ also takes both representatives will end to the same point. So we see that $\tilde{r}_2$ also takes both representatives will end to the same point.
\end{proof} \end{proof}
@ -483,10 +514,17 @@ First, we give a detailed description of $\Delta$. We will denote the $0$-simpli
X & = [v_0,\dots,v_n] X & = [v_0,\dots,v_n]
\end{align*} \end{align*}
The face maps of $X$ and $X^{(j_0,\dots,j_i)}$ are: The face maps of $X$ and $X^{(j_0,\dots,j_i)}$ are:
<<<<<<< HEAD
\begin{equation}
\delta^i_k(X^{(j_0,\dots,j_i)}) =[v_{j_0},\dots,\hat{v},\dots,v_{j_i}]
\end{equation}
where $\hat{v}$ indicates that we take out the vertix in position $k$, for $k\leq i$.
=======
\begin{equation*} \begin{equation*}
\delta^i_k(X^{(j_0,\dots,j_i)}) =[v_{j_0},\dots,\hat{v},\dots,v_{j_i}] \delta^i_k(X^{(j_0,\dots,j_i)}) =[v_{j_0},\dots,\hat{v},\dots,v_{j_i}]
\end{equation*} \end{equation*}
where $\hat{v}$ indicates that we take out the vertex in position $k$, for $k\leq i$. where $\hat{v}$ indicates that we take out the vertex in position $k$, for $k\leq i$.
>>>>>>> 2a87fee69dfb1e6fdd6e608f9b4ee957cc3f5a74
an the boundary maps are given by: an the boundary maps are given by:
\begin{equation*} \begin{equation*}
\partial^i =\sum (-1)^{k}\delta^i_k \partial^i =\sum (-1)^{k}\delta^i_k
@ -515,10 +553,20 @@ X_{(1,\dots,\xi_i, 1, 1)}\cap\{x_j=1,\,\forall j\neq i\}.
\] \]
We can remark that $X_{(\xi_0, \dots, \xi_n)}=(\xi_0, \dots, \xi_n)\cdot X_{(1,\dots,1)}$, and therefore that we have a group action of $\mu^{n+1}_d$ over $S_d$. We can remark that $X_{(\xi_0, \dots, \xi_n)}=(\xi_0, \dots, \xi_n)\cdot X_{(1,\dots,1)}$, and therefore that we have a group action of $\mu^{n+1}_d$ over $S_d$.
Let Let
<<<<<<< HEAD
\begin{equation}
\begin{array}{rll}
X^{(j_0,\dots,j_i)}_{(1,\dots,1)} & = & X_{(1, \dots, 1)}\cap\{x_{j_k}\neq0 \forall k=0,\dots i\text{ and }x_{i}=0\text{ for the rest}\}\\
X^j_{(1,\dots,1)} & = & X_{(1, \dots, 1)}\cap\{x_i=0\forall i\neq j\}\\
\end{array}
\end{equation}
=======
\begin{align*} \begin{align*}
X^{(j_0,\dots,j_i)}_{(1,\dots,1)} & = X_{(1, \dots, 1)}\cap\{x_{j_k}\neq0,\, \forall k=0,\dots i\text{ and }x_{i}=0\text{ for the rest}\}\\ X^{(j_0,\dots,j_i)}_{(1,\dots,1)} & = X_{(1, \dots, 1)}\cap\{x_{j_k}\neq0,\, \forall k=0,\dots i\text{ and }x_{i}=0\text{ for the rest}\}\\
X^j_{(1,\dots,1)} & = X_{(1, \dots, 1)}\cap\{x_i=0,\,\forall i\neq j\}\\ X^j_{(1,\dots,1)} & = X_{(1, \dots, 1)}\cap\{x_i=0,\,\forall i\neq j\}\\
\end{align*} \end{align*}
>>>>>>> 2a87fee69dfb1e6fdd6e608f9b4ee957cc3f5a74
We can describe the chain complexes. They are abelian groups but they are also $R_d$-complexes We can describe the chain complexes. They are abelian groups but they are also $R_d$-complexes
where $R_d$ is the group algebra $\ZZ[\mu_d^{n+1}]$. For the $n$-chains we have where $R_d$ is the group algebra $\ZZ[\mu_d^{n+1}]$. For the $n$-chains we have
\[ \[
@ -544,6 +592,7 @@ a free abelian group of rank~$(n+1)d$.
%\end{array} %\end{array}
%\end{equation} %\end{equation}
The face maps are $R_d$-morphisms defined as The face maps are $R_d$-morphisms defined as
\begin{equation*} \begin{equation*}
\begin{aligned} \begin{aligned}
@ -843,7 +892,7 @@ Delta_Complex = DeltaComplex_hypersurface(4,6)
Once we have gotten the $\Delta$-complex, we can compute the fundamental group or the cohomology of the space, for example. Once we have gotten the $\Delta$-complex, we can compute the fundamental group or the cohomology of the space, for example.
\begin{python} \begin{python}
Dc = SimplicialSet(Delta_Complex) Dc = SimplicialSet(Delta_Complex)
dc_punto = Dc.set_base_point(Dc.all_n_simplices(0)[0]) dc_punto = it commit Dc.set_base_point(Dc.all_n_simplices(0)[0])
dc_punto.fundamental_group() dc_punto.fundamental_group()
-> Finitely presented group < e0 | e0^6 > -> Finitely presented group < e0 | e0^6 >
dc_punto.cohomology() dc_punto.cohomology()