Answer:
B
Step-by-step explanation:
Answer:
See proof below.
Step-by-step explanation:
True
For this case we need to use the following theorem "If
are eigenvectors of an nxn matrix A and the associated eigenvalues
are distinct, then
are linearly independent". Now we can proof the statement like this:
Proof
Let A a nxn matrix and we can assume that A has n distinct real eingenvalues let's say 
From definition of eigenvector for each one
needs to have associated an eigenvector
for 
And using the theorem from before , the n eigenvectors
are linearly independent since the
are distinct so then we ensure that A is diagonalizable.
Answer:
0.0025
Step-by-step explanation:
:)
F(x) = x² - 10x + 24
opens up because coefficient of x² is positive
crosses x-axis at x = 6 and x = 4
crosses y-axis at y = 24
vertex is a minimum at (5, -1)