TRUE OR FALSE? If vector v is an eigenvector of both A and B, then t> must be an eigenvector of A + B.

Multivariable Calculus: Notes 3 Zach Hauk April 24, 2016 Second Derivative Test : ▯ Given a function in 3-space f(x;y), we can evaluate local minima, maxima, and saddle points. Minimum: point with locally lowest value Maximum: point with locally highest value Saddle Point: critical point which is neither a minimum nor a maximum, and is not degenerate. ex. f(x;y) = x ▯ y , saddle point at (0;0) 20 0 5 ▯20 0