Trace of a matrix = sum of the eigen values
Determinant of a matrix = product of eigen values.
What are the geometric intuitions behind them? Geometrically speaking, eigen vectors are the vectors which remains on their span even after a transformation and the scalar quantity by which they are scaled or squished is called the eigen values. Determinant on the other hand is the area scaled by the basis vectors. So how these concepts actually connect to each other?