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ahrayia [7]
3 years ago
12

First verify that y(x)y(x) satisfies the given differential equation. Then determine a value of the constant CC so that y(x)y(x)

satisfies the given initial condition. Use a computer or graphing calculator (if desired) to sketch several typical solutions of the given differential equation, and highlight the one that satisfies the given initial condition.
x dy/dx+3y=2x5; y(x)=1/4 x5+Cx−3,y(2)=1
Mathematics
1 answer:
zubka84 [21]3 years ago
6 0

Answer:

at constant C = -56 satisfies the given condition of y(x)

Step-by-step explanation:

differentiate y(x) w.r.t.x

y' (x ) = \frac{d}{dx} (\frac{1}{4} x^5 +Cx^{-3} )

        = \frac{1}{4}\frac{d}{dx} (x^5) + C\frac{d}{dx}  (x^{-3} )

        = \frac{5}{4} x^4 - 3Cx^{-4}

attached is the remaining part of the detailed solution and the sketch of the several typical solutions

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I think it’s 1,068 runners
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mr.brooks is buying a television set for $850. the sales tax is 6%. What will be the total amount he will pay for the television
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The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
3 years ago
Help me with this please!!!!!!!!!
IrinaVladis [17]

Answer:

d = 17.58

Step-by-step explanation:

d = √(x2 - x1)^2 + (y2 - y1)^2 + (z2 - z1)^2

P1(0, 0, 0) P2(8, 7, 14)

Substitute the values in the above equation and you will get

d = √(8 - 0)^2 + (7 - 0)^2 + (14 - 0)^2

= √(64 + 49 + 196)

= √309

= 17.58

8 0
3 years ago
Read 2 more answers
What is 6 over x-8 - 3x over x squared -5
Burka [1]

Answer:

6/x^5-2x-8

Step-by-step explanation:

6 over x-8-3x is

6/x-8-3x/x^-5

Over x^-5

x^-5 can be rewritten as

6/x-8-3x+x^5

Simplify:

6/x^5-2x-8

Hope this helps!

4 0
3 years ago
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