Given $ U(x) = E(X) + \lambda V(x)$
(1) $$E(x) = \frac{1}{2} \gamma X^2 + \epsilon\sum_{k=1}^N|n_k| + \frac{\eta^*}{\tau}\sum_{k=1}^N n_k^2 $$ where $$ \eta^* = \eta - \frac{1}{2}\gamma \tau $$
(2) $$V(x) = \sigma^2 \sum_{k=1}^N \tau x_k^2 $$
Then the partial derivative of U is:
(3) $$ \frac{\partial U}{\partial x_j} = 2\tau(\lambda\sigma^2x_j - \eta^* \frac{x_{j-1}-2x_j+x_{j+1}}{\tau^2}) $$
for j = 1,....,N-1 Then $\frac{\partial U}{\partial x_j} = 0$ is equivalent to
(4) $$ \frac{1}{\tau^2}(x_{j-1}-2x_j+x_{j+1}) = k^2x_j $$
with $$k^2 = \frac{\lambda\sigma^2}{\eta^*} = \frac{\lambda\sigma^2}{\eta(1-\frac{\gamma \tau}{2\eta})} $$
Can you show how (3) is equivalent to (4)?
Thank you.
$$ 2\tau\left(\lambda\sigma^2x_j - \eta^* \frac{x_{j-1}-2x_j+x_{j+1}}{\tau^2}\right)=0;? $$
– joriki Jun 02 '16 at 17:48