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Shkiper50 [21]
3 years ago
14

Which is the solution of the quadratic equation (4y-3)^2=72 ?

Mathematics
1 answer:
max2010maxim [7]3 years ago
7 0
Hello : 
<span>(4y-3)²=72 
4y-3 = </span>√72   or  4y-3 = - √72
y= (3+√72) /4   or y= (3 - √72) /4
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Please answer this correctly without making mistakes
Lelu [443]

Answer:

so first convert to fraction so

9 3/4 = 39/4

so it was spread among 3

so this is division so you do 39/4 divided by 3

so you keep switch flip

which is  39/4 *1/3

answer is 13/4

8 0
4 years ago
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Please help, due today and im failing this class. i will give brainliest!
kolezko [41]
I believe the answer is 50 in ^2.
8 0
3 years ago
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The circumference c of a circle is given by the formula c equal 2 pi if the radius of the circle is 10 inches find the circumfer
Maksim231197 [3]

Answer:

62.8 inches

Step-by-step explanation:

c = 2πr

Where,

c = Circumference of a circle

π = pi = 3.14

r = radius = 10 inches

c = 2πr

= 2 × 3.14 × 10

= 62.8 inches

c = 62.8 inches

Therefore,

The circumference of the circle is 62.8 inches

3 0
3 years ago
Convert 4.206 m into mm
fiasKO [112]

Answer:

4206 is the answer of this question

5 0
3 years ago
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Orthogonally diagonalize the​ matrix, giving an orthogonal matrix P and a diagonal matrix D. To save​ time, the eigenvalues are
alexgriva [62]

Answer:

P=\left(\begin{array}{ccc}-\frac{2}{3}&-\frac{2}{3}&\frac{1}{3}\\\frac{1}{\sqrt{5}}&0&\frac{2}{\sqrt{5}}\\-\frac{4}{3\sqrt{5}}&\frac{\sqrt{5}}{3}&\frac{2}{3\sqrt{5}}\end{array}\right)

Step-by-step explanation:

It is a result that a matrix A is orthogonally diagonalizable if and only if A is a symmetric matrix.  According with the data you provided the matrix should be

A=\left(\begin{array}{ccc}-9&-4&2\\ -4&-9&2\\2&2&-6\\\end{array}\right)

We know that its eigenvalues are \lambda_{1}=-14, \lambda_{2}=-5, where \lambda_{2}=-5 has multiplicity two.

So if we calculate the corresponding eigenspaces for each eigenvalue we have

E_{\lambda_{1}=-14}=\langle(-2,-2,1)\rangle,E_{\lambda_{2}=-5}=\langle(1,0,2),(-1,1,0)\rangle..

With this in mind we can form the matrices P, D that diagonalizes the matrix A so.

P=\left(\begin{array}{ccc}-2&-2&1\\1&0&2\\-1&1&0\\\end{array}\right)

and

D=\left(\begin{array}{ccc}-14&0&0\\0&-5&0\\0&0&-5\\\end{array}\right)

Observe that the rows of P are the eigenvectors corresponding to the eigen values.

Now you only need to normalize each row of P dividing by its norm, as a row vector.

The matrix you have to obtain is the matrix shown below

3 0
4 years ago
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