Find a unit normed vector (direction) $d$ that minimizes the directional derivative, where $\nabla f(x^*)=(12,24)^T$.
My question: Is the directional derivative minimized by selecting a vector orthogonal to the gradient? Is so would $d=(-2,1)^T$
multivariable-calculusoptimization
Find a unit normed vector (direction) $d$ that minimizes the directional derivative, where $\nabla f(x^*)=(12,24)^T$.
My question: Is the directional derivative minimized by selecting a vector orthogonal to the gradient? Is so would $d=(-2,1)^T$
Best Answer
The directional derivative, for every direction defined by a vector $\vec v$, is given by the doct product with the gradient, that is:
$$f_{\vec v}=\frac {\partial f}{\partial \vec v}=\nabla f \cdot \vec v$$
which is
thus the unit vector which minimize the directional derivative is
$$u=\left(-\frac1{\sqrt5},-\frac2{\sqrt5} \right)$$