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Alexxx [7]
3 years ago
15

PLZ ANSWER QUICK 15 POINTS WILL GIVE BRAINIEST PLZ ASWER FASTTTTT

Mathematics
2 answers:
viva [34]3 years ago
5 0

Answer:

-3

Step-by-step explanation:

rusak2 [61]3 years ago
5 0

Answer:

C

Step-by-step explanation:

(-3) x 4 = (-12) + 6 = -6 . 3 + 3 = 6 + (-12) = -6.  (-6) = (-6)  Because adding positive to negative is like subtracting the negative if that makes sense.  Hope this helps!  Have a great day!

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2. Which is the following equation rewritten in slope-intercept form: -8x = 2 - 2y
Anna007 [38]

Answer:

B, y = 4x + 1

Step-by-step explanation:

to get it into y- intercept form we need to write it in the form y = mx + b

-8x = 2 - 2y, move 2y to the other side and -8x to the other side they both become positive.

2y = 8x + 2, dividing each by 2

yields y = 4x + 1

Hope this helps

8 0
2 years ago
What is 1/2 multiplied by 1/2? What is 1/2 added by 1/2?
satela [25.4K]
Answer:
1/4 & 1

Solution:
1/2 * 1/2 = (1*1)/(2*2)

1/2 + 1/2 = (1+1)/(2) = 2/2 = 1
7 0
3 years ago
Read 2 more answers
Help!!!<br><br><br>2814 divided by 7
dexar [7]
2814÷7= 402.
hope this helps!
7 0
3 years ago
Read 2 more answers
(1) (10 points) Find the characteristic polynomial of A (2) (5 points) Find all eigenvalues of A. You are allowed to use your ca
Yuri [45]

Answer:

Step-by-step explanation:

Since this question is lacking the matrix A, we will solve the question with the matrix

\left[\begin{matrix}4 & -2 \\ 1 & 1 \end{matrix}\right]

so we can illustrate how to solve the problem step by step.

a) The characteristic polynomial is defined by the equation det(A-\lambdaI)=0 where I is the identity matrix of appropiate size and lambda is a variable to be solved. In our case,

\left|\left[\begin{matrix}4-\lamda & -2 \\ 1 & 1-\lambda \end{matrix}\right]\right|= 0 = (4-\lambda)(1-\lambda)+2 = \lambda^2-5\lambda+4+2 = \lambda^2-5\lambda+6

So the characteristic polynomial is \lambda^2-5\lambda+6=0.

b) The eigenvalues of the matrix are the roots of the characteristic polynomial. Note that

\lambda^2-5\lambda+6=(\lambda-3)(\lambda-2) =0

So \lambda=3, \lambda=2

c) To find the bases of each eigenspace, we replace the value of lambda and solve the homogeneus system(equalized to zero) of the resultant matrix. We will illustrate the process with one eigen value and the other one is left as an exercise.

If \lambda=3 we get the following matrix

\left[\begin{matrix}1 & -2 \\ 1 & -2 \end{matrix}\right].

Since both rows are equal, we have the equation

x-2y=0. Thus x=2y. In this case, we get to choose y freely, so let's take y=1. Then x=2. So, the eigenvector that is a base for the eigenspace associated to the eigenvalue 3 is the vector (2,1)

For the case \lambda=2, using the same process, we get the vector (1,1).

d) By definition, to diagonalize a matrix A is to find a diagonal matrix D and a matrix P such that A=PDP^{-1}. We can construct matrix D and P by choosing the eigenvalues as the diagonal of matrix D. So, if we pick the eigen value 3 in the first column of D, we must put the correspondent eigenvector (2,1) in the first column of P. In this case, the matrices that we get are

P=\left[\begin{matrix}2&1 \\ 1 & 1 \end{matrix}\right], D=\left[\begin{matrix}3&0 \\ 0 & 2 \end{matrix}\right]

This matrices are not unique, since they depend on the order in which we arrange the eigenvalues in the matrix D. Another pair or matrices that diagonalize A is

P=\left[\begin{matrix}1&2 \\ 1 & 1 \end{matrix}\right], D=\left[\begin{matrix}2&0 \\ 0 & 3 \end{matrix}\right]

which is obtained by interchanging the eigenvalues on the diagonal and their respective eigenvectors

4 0
3 years ago
How to round .9999 to the nearest hundred?
sesenic [268]
Since .9999 is less than 100, the nearest hundred is 0.
3 0
3 years ago
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