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:
The killing curse
Step-by-step explanation:
Answer:
x = 6
Step-by-step explanation:
Given
2x - 5 = 7 ( add 5 to both sides )
2x = 12 ( divide both sides by 2 )
x = 6
I cannot see anything on that sorry
P=2(W + L)
p= 2W + 2L
98=2W + 2(6W)
98=2W + 12W
98=W
98/14=14W/14
W=7
L= 6W
L = 6(7)
L= 42
CHECK
p=2(7 +42)
p=2(49)
p= 98
Area of a rectangle = W X L
Area of a rectangle = 7 X 42
Area of a rectangle = 294
