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Ivahew [28]
3 years ago
10

Solve for x. 7x−9<12 or 14x+8>11

Mathematics
1 answer:
Vitek1552 [10]3 years ago
4 0

Answer:

For 7x-9<12, the answer is x<3

For 14x+8>11, the answer is x>3/14

Step-by-step explanation: Isolate the variables by dividing each side by factors that do not contain the variable.

I hope this helps you out! :)

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the Great Common factor can either be 3 or x.

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The sum of 10 and one third of a number is equal to 13. What is the number?
Arisa [49]

10 + 1/3x= 13

1/3x=3

divide 1/3 on each side to cancel it out

3/ 1/3= 3 times 3 which equals= 9

the number is 9

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6.Calcular: 2^3 ; (-2)^3; ; -2^3 *
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2 years ago
8(7 + 23) = 8(7) + 8(?)
34kurt
Answer: 23

When using multiplication with brackets, you multiply the number by all the numbers within the bracket before adding them together.

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7 0
3 years ago
Read 2 more answers
let t : r2 →r2 be the linear transformation that reflects vectors over the y−axis. a) geometrically (that is without computing a
tangare [24]

(a) ( 1, 0 ) is the eigen vector for '-1' and ( 0, 1 ) is the eigen vector for '1'.

(b)  two eigen values of 'k' = 1, -1

for k = 1, eigen vector is \left[\begin{array}{c}0\\1\end{array}\right]

for k = -1 eigen vector is \left[\begin{array}{c}1\\0\end{array}\right]

See the figure for the graph:

(a) for any (x, y) ∈ R² the reflection of (x, y) over the y - axis is ( -x, y )

∴ x → -x hence '-1' is the eigen value.

∴ y → y hence '1' is the eigen value.

also, ( 1, 0 ) → -1 ( 1, 0 ) so ( 1, 0 ) is the eigen vector for '-1'.

( 0, 1 ) → 1 ( 0, 1 ) so ( 0, 1 ) is the eigen vector for '1'.

(b) ∵ T(x, y) = (-x, y)

T(x) = -x = (-1)(x) + 0(y)

T(y) =  y = 0(x) + 1(y)

Matrix Representation of T = \left[\begin{array}{cc}-1&0\\0&1\end{array}\right]

now, eigen value of 'T'

T - kI =  \left[\begin{array}{cc}-1-k&0\\0&1-k\end{array}\right]

after solving the determinant,

we get two eigen values of 'k' = 1, -1

for k = 1, eigen vector is \left[\begin{array}{c}0\\1\end{array}\right]

for k = -1 eigen vector is \left[\begin{array}{c}1\\0\end{array}\right]

Hence,

(a) ( 1, 0 ) is the eigen vector for '-1' and ( 0, 1 ) is the eigen vector for '1'.

(b)  two eigen values of 'k' = 1, -1

for k = 1, eigen vector is \left[\begin{array}{c}0\\1\end{array}\right]

for k = -1 eigen vector is \left[\begin{array}{c}1\\0\end{array}\right]

Learn more about " Matrix and Eigen Values, Vector " from here: brainly.com/question/13050052

#SPJ4

6 0
1 year ago
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