Recently this one for delta Y however it requires port variable theory :
For a T network the transfer matrix equation may be found by multiplying transfer matricies :
<br />
\[<br />
\left[ \begin{array}{l}<br />
1\,\,\,\,\,\,\,Z_1 \\ <br />
0\,\,\,\,\,\,\,1 \\ <br />
\end{array} \right]\left[ \begin{array}{l}<br />
\,\,1\,\,\,\,\,\,\,\,\,\,\,0 \\ <br />
1/Z_3 \,\,\,\,\,1 \\ <br />
\end{array} \right]\left[ \begin{array}{l}<br />
1\,\,\,\,\,\,\,\,Z_2 \\ <br />
0\,\,\,\,\,\,\,\,1 \\ <br />
\end{array} \right] = \left[ \begin{array}{l}<br />
1 + \frac{{Z_1 }}{{Z_3 }}\,\,\,\,\,\,\,\,\,Z_1 + Z_2 + \frac{{Z_1 Z_2 }}{{Z_3 }} \\ <br />
\,\,\,\,\,\frac{1}{{Z_3 }}\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,1 + \frac{{Z_2 }}{{Z_3 }} \\ <br />
\end{array} \right]<br />
\]<br />
And for a pie network (of addmittances) the transfer matrix equation is :
<br />
\[<br />
\left[ \begin{array}{l}<br />
\,\,1\,\,\,\,\,\,\,\,0 \\ <br />
\,Y_1 \,\,\,\,\,\,\,1 \\ <br />
\end{array} \right]\left[ \begin{array}{l}<br />
1\,\,\,\,\,\,\,1/Y_3 \\ <br />
0\,\,\,\,\,\,\,\,\,\,\,1 \\ <br />
\end{array} \right]\left[ \begin{array}{l}<br />
\,\,1\,\,\,\,\,\,\,\,\,0 \\ <br />
\,\,Y_2 \,\,\,\,\,\,\,1 \\ <br />
\end{array} \right] = \left[ \begin{array}{l}<br />
\,\,\,\,\,\,\,\,\,1 + \frac{{Y_2 }}{{Y_3 }}\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\frac{1}{{Y_3 }} \\ <br />
\,\,Y_1 + Y_2 + \frac{{Y_1 Y_2 }}{{Y_3 }}\,\,\,\,\,\,\,\,\,\,\,\,1 + \frac{{Y_1 }}{{Y_3 }} \\ <br />
\end{array} \right]<br />
\]<br />
Equate the transfer matrix components and you have the T-pi or Delta-Y transforms.
Best