Week 15 Flashcards
Symmetric Matrix?
if a matrix has eigenvalues (which all square matrices do) and its kernel is always orthogonal to its range, then the matrix must be symmetric.
For symmetrical matrix, how to get matrix A B->B
- if the base belongs to the transformation e.g. (the Range) , multiply by the eigenvalue
-for kernel we multiply the eigenvector of kernel by it’s eigenvalue
∇ f( x,y)
-partial derivatives of each, sub in then transposed
Bottom value for normal vector of tangent plane in R^2?
-1
slope of d?
vertical displacement/ horizontal distance
^we can use the vectors in d
Unit vector when gradient is same direction as directional derivative (rate of increase is max)
u = gradient of f / mod gradient of f
Unit vector when gradient is opposite direction as directional derivative (rate of decrease is max)
u = - gradient of f / mod gradient of f
Unit vector when gradient is opposite direction as directional derivative (no rate)
orthogonal unit vector to rate of increase/decrease is max
Directional derivative?
∇ h(ab) u / ll u ll