HAPPY HALLOWEEN! As a treat, I share this picture I made based somewhat on something someone drew in my Multivariable Calculus class a year ago. And for those who don't know, eigenvalues are values associated with a square matrix that can be used to analyze its behavior in multiplying any vector. It's basically a scalar that can multiply with a corresponding eigenvector, so that when you multiply the square matrix and the eigenvector together, it is the same thing as multiplying the eigenvalue with the eigenvector (Ax = λx, where A is a square matrix, x is a nonzero vector, and λ is the eigenvalue).
I won't even start on the gradient (fx,fy) and what it does. It would take too long (and I don't really feel like explaining partial derivatives when I should be studying for my Differential Equations test).
"Trick or treat, trick or treat, give us something good to eat. If you don't, we don't care, we'll put red ants in your hair. Trick or treat, trick or treat, we love candy oh so sweet. Each and every Halloween we all say trick or treat!"
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