can somebody help me understand how it is possible to log-linearize this equation? $$\frac{1}{1+i_{t}}=\beta E^i_{t}\left[\frac{P_{t}}{P_{t+1}} \cdot \frac{U_{c}\left(C_{t+1}^{i}, \xi_{t+1}\right)}{U_{c}\left(C_{t}^{i} ; \xi_{t}\right)}\right]$$
The author of the paper (Bruce Preston, 2006) is following Woodford for the microfundations, but is assuming heterogeneous expectations. He says he log-linearizes the equation around the steady state and gets $$\hat{C}_{t}^{i}=\hat{E}_{t}^{i} \hat{C}_{t+1}^{i}-\sigma\left(\hat{i}_{t}-\hat{E}_{t}^{i} \hat{\pi}_{t+1}\right)+g_{t}-\hat{E}_{t}^{i} g_{t+1}$$ without further explanations.
For a generic variable $\hat{z}_{t} \equiv \log \left(z_{t} / \bar{z}\right)$ . $\bar{z}$ represents the steady state .
Furthermore he sassumes that in the steady state $\xi_{t}=0$, $Y_{t}=\bar{Y}$ and $\pi_{t}=P_{t} / P_{t-1}=1$. The steady state interest $\bar{i}_{t}=\beta^{-1}-1$$=\log [(1+i) /(1+\bar{\imath})]$ .
I tried to linearize the term $U_c(c_t,\xi_t)$ around the steady state: $$U_c(c_t,\xi_t) \approx log(\frac{c_t}{\bar{c}})* \frac{U_{cc}(\bar{c},\bar{\xi})\bar{c}}{U_{c}(\bar{c},\bar{\xi})} +log(\frac{\xi_t}{\bar{\xi}})* \frac{U_{c\xi}(\bar{c},\bar{\xi})\bar{\xi}}{U_{c}(\bar{c},\bar{\xi})}=$$
$$=\hat{c}* \frac{U_{cc}(\bar{c},\bar{\xi})\bar{c}}{U_{c}(\bar{c},\bar{\xi})} +\hat{\xi}* \frac{U_{c\xi}(\bar{c},\bar{\xi})\bar{\xi}}{U_{c}(\bar{c},\bar{\xi})}=$$
$$=\hat{c}* \frac{U_{cc}(\bar{c},\bar{\xi})\bar{c}}{U_{c}(\bar{c},\bar{\xi})} $$
$\hat{\xi}* \frac{U_{c\xi}(\bar{c},\bar{\xi})\bar{\xi}}{U_{c}(\bar{c},\bar{\xi})}$ is zero because $\bar{\xi}=0$
However substituting back in the original equation and log-linearizing the rest i can't reach the same solution as the author.