Problem
Show the one dimensional minimizer of a strong convex quadrative function
Solution:
- State the quadractic function:
$$f(x) = \frac{1}{2}x^TQx - b^Tx$$
-
We know the minimizer is along the descent direction of a given point thus we are searching along the path
$$x_k + \alpha p_k$$
-
Plug (2) into the function:
$$f(x) = \frac{1}{2}x^TQx - b^Tx$$
$$f(x) = \frac{1}{2}(x_k + \alpha p_k)^TQ(x_k + \alpha p_k) - b^T(x_k + \alpha p_k)$$
- Simplify:
$$f(x) = \frac{1}{2}(x_k Q + \alpha p_k Q)^T(x_k + \alpha p_k) - b^T x_k + \alpha b^T p_k)$$
$$f(x) = \frac{1}{2}((x_k^T Q x_k) + (x_k^T Q \alpha p_k) + (\alpha p_k^T Q x_k) + (\alpha p_k Q \alpha p_k)) - b^T x_k + \alpha b^T p_k)$$
$$f(x) = \frac{1}{2} ((x_k^T Q x_k) + (\alpha x_k^T Q p_k) + (\alpha p_k^T Q x_k) + (\alpha^2 p_k Q p_k)) - b^T x_k + \alpha b^T p_k)$$
$$f(x) = \frac{1}{2}(x_k^T Q x_k) + \alpha x_k^T Q p_k + (\frac{\alpha^2}{2} p_k Q p_k)) - b^T x_k + \alpha b^T p_k)$$
- Calculate the $\frac{\delta F}{\delta x}(x_k + \alpha p_k)$
$$ x_k^T Q p_k + \alpha p_k Q p_k - b^T p_k$$
- Set equal to 0 and solve for $\alpha$
$$ x_k^T Q p_k + \alpha p_k Q p_k - b^T p_k = 0 $$
$$ \alpha p_k Q p_k = b^T p_k - x_k^T Q p_k $$
$$ \alpha = \frac{b^T p_k - x_k^T Q p_k}{p_k Q p_k} $$
$$ \alpha = \frac{- x_k^T Q p_k + b^T p_k}{p_k Q p_k} $$
$$ \alpha = \frac{- x_k^T Q p_k + b^T p_k}{p_k Q p_k} $$
- subsitute $\nabla f(x) = Q x_k - b$
$$ \alpha = \frac{- x_k^T \nabla f_k p_k}{p_k Q p_k} $$