5x+3y=-9 in slope intercept

To find F'(c) using first principles of differentiation, we start with the definition of the derivative. Let F(x) be a function, and we want to find the derivative at a specific point c. The derivative of F(x) at x=c is given by the limit:

F'(c) = lim┬(h→0)⁡〖(F(c+h) - F(c))/h〗

To apply this definition, we substitute x=c+h into the function F(x) and simplify:

F'(c) = lim┬(h→0)⁡〖(F(c+h) - F(c))/h〗

= lim┬(h→0)⁡〖(4(c+h)^2 + 10(c+h) - (4c^2 + 10c))/h〗

= lim┬(h→0)⁡〖(4c^2 + 8ch + 4h^2 + 10c + 10h - 4c^2 - 10c)/h〗

= lim┬(h→0)⁡〖(8ch + 4h^2 + 10h)/h〗

= lim┬(h→0)⁡〖8c + 4h + 10〗

= 8c + 10

Therefore, the derivative F'(c) of the given function is equal to 8c + 10. This result represents the slope of the tangent line to the graph of F(x) at the point x=c. The first principles of differentiation allow us to find the instantaneous rate of change or the slope at a specific point by taking the limit of the difference quotient as the interval approaches zero. In this case, we applied the definition to the given function, simplified the expression, and evaluated the limit. The final result is a constant expression, indicating that the derivative is a linear function with a slope of 8 and a y-intercept of 10.

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The unit tangent vector T(t) at the point t = 0 is T(0) = (-5/sqrt(131), 5/sqrt(131), 9/sqrt(131)).

To find the unit tangent vector T(t) at the point t = 0 for the given vector function r(t) = (-5t + 4, -5e^(-t), 3sin(3t)), we first calculate the derivative of r(t) with respect to t, and then evaluate the derivative at t = 0. Finally, we normalize the resulting vector to obtain the unit tangent vector T(0).

The given vector function is r(t) = (-5t + 4, -5e^(-t), 3sin(3t)). To find the unit tangent vector T(t), we need to calculate the derivative of r(t) with respect to t, denoted as r'(t). Differentiating each component of r(t), we obtain r'(t) = (-5, 5e^(-t), 9cos(3t)).

Next, we evaluate r'(t) at t = 0 to find T(0). Substituting t = 0 into the components of r'(t), we get T(0) = (-5, 5, 9cos(0)), which simplifies to T(0) = (-5, 5, 9).

Finally, we normalize the vector T(0) to obtain the unit tangent vector T(t). The unit tangent vector is found by dividing T(0) by its magnitude. Calculating the magnitude of T(0), we have |T(0)| = sqrt((-5)^2 + 5^2 + 9^2) = sqrt(131). Dividing each component of T(0) by the magnitude, we get T(0) = (-5/sqrt(131), 5/sqrt(131), 9/sqrt(131)).

Therefore, the unit tangent vector T(t) at the point t = 0 is T(0) = (-5/sqrt(131), 5/sqrt(131), 9/sqrt(131)).

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The end behavior of the function f(x) = -x^3(x + 9)^3(x + 5) indicates that as x approaches positive or negative infinity, the function approaches negative infinity.

To determine the end behavior of the function, we examine the behavior of the function as x becomes very large (approaching positive infinity) and as x becomes very small (approaching negative infinity).

As x approaches positive infinity, the dominant term in the function is -x^3. Since x is being raised to an odd power (3), the term -x^3 approaches negative infinity. The other factors, (x + 9)^3 and (x + 5), do not change the sign or the behavior of the function significantly. Therefore, as x approaches positive infinity, f(x) also approaches negative infinity.

Similarly, as x approaches negative infinity, the dominant term in the function is also -x^3. Again, since x is being raised to an odd power (3), the term -x^3 approaches negative infinity. The other factors, (x + 9)^3 and (x + 5), do not change the sign or the behavior of the function significantly. Therefore, as x approaches negative infinity, f(x) also approaches negative infinity.

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Step-by-step explanation:

1st Divide

$274.44 ÷ 6

Answer

$45.74

Lily will need to invest approximately $23,446 in the account now to achieve a balance of $41,000 over 20 years with a 2% interest rate compounded monthly.

To calculate the amount that Lily needs to invest in the 529 account now, we can use the formula for compound interest:

[tex]A(t) = P(1 + r/n)^(nt)[/tex]

Where:

A(t) is the desired future amount ($41,000),

P is the principal amount (the amount Lily needs to invest now),

r is the interest rate (2% or 0.02),

n is the number of times the interest is compounded per year (12 for monthly compounding),

and t is the number of years (20).

Plugging in the given values, the equation becomes:

[tex]41000 = P(1 + 0.02/12)^(12*20)[/tex]

To find the value of P, we can divide both sides of the equation by the term[tex](1 + 0.02/12)^(12*20):[/tex]

[tex]P = 41000 / (1 + 0.02/12)^(12*20)[/tex]

Using a calculator, the value of P is approximately $23,446.

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The series given is represented as ∑(nẻ tr) from n=1. To find the general formula for the sum of the first n terms (S₂) in terms of n, and the sum of the series (limit of the sequence).

a) To find the general formula for the sum of the first n terms (S₂) in terms of n, we can examine the pattern in the series. The series ∑(nẻ tr) represents the sum of the terms (n times ẻ tr) from n=1 to n=2. For each term, the value of ẻ tr depends on the specific sequence or function defined in the problem. To find the general formula, we need to determine the pattern of the terms and how they change with respect to n.

b) The sum of a series is defined as the limit of the sequence. In this case, the series given is ∑(nẻ tr) from n=1. To find the sum of the series, we need to evaluate the limit as n approaches infinity. This limit represents the sum of an infinite number of terms in the series. The value of the sum will depend on the behavior of the terms as n increases. If the terms converge to a specific value as n approaches infinity, then the sum of the series exists and can be calculated as the limit of the sequence

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The work required to pump the water out of the spout is approximately 88200 J (rounded to the nearest whole number).

To find the work required to pump the water out of the tank, we need to calculate the potential energy change of the water.

Given:

g = 9.8 m/s^2 (acceleration due to gravity)

density of water (ρ) = 1000 kg/m^3

height of the water column (h) = 3 m

The potential energy change (ΔPE) of the water can be calculated using the formula:

ΔPE = mgh

where m is the mass of the water and h is the height.

To find the mass (m) of the water, we can use the formula:

m = ρV

where ρ is the density of water and V is the volume of water.

The volume of water can be calculated using the formula:

V = A * h

where A is the cross-sectional area of the tank's spout.

Since the cross-sectional area is not provided, let's assume it as 1 square meter for simplicity.

V = 1 * 3 = 3 m^3

Now, we can calculate the mass of the water:

m = 1000 * 3 = 3000 kg

Substituting the values of m, g, and h into the formula for potential energy change:

ΔPE = (3000 kg) * (9.8 m/s^2) * (3 m) = 88200 J

Therefore, the work required to pump the water out of the spout is approximately 88200 J (rounded to the nearest whole number).

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The probability that a randomly selected quartz time piece from company XYZ will have a replacement time of less than 10 years can be determined using the normal distribution with a mean of 12.6 years and a standard deviation of 0.9 years.

To calculate the probability, we need to find the area under the normal distribution curve to the left of 10 years. First, we need to standardize the value of 10 years using the formula z = (x - μ) / σ, where x is the value (10 years), μ is the mean (12.6 years), and σ is the standard deviation (0.9 years). Substituting the values, we get z = (10 - 12.6) / 0.9 = -2.89.

Next, we look up the corresponding z-score in the standard normal distribution table or use statistical software. The table or software tells us that the area to the left of -2.89 is approximately 0.0019

. This represents the probability that a randomly selected quartz time piece will have a replacement time less than 10 years. Therefore, the probability is approximately 0.0019 or 0.19%.

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The first derivative, g'(x), of the function g(x) = 8x + 72x^2 + 1922 is obtained by differentiating the function with respect to x. By evaluating g'(-4) and examining its sign, we can determine whether there is a local minimum or local maximum at x = -4.

To find the first derivative, g'(x), we differentiate the function g(x) = 8x + 72x^2 + 1922 with respect to x. The derivative of 8x is 8, and the derivative of 72x^2 is 144x. Since the constant term 1922 does not involve x, its derivative is zero. Therefore, g'(x) = 8 + 144x.

To determine whether there is a local minimum or local maximum at x = -4, we evaluate g'(-4) by substituting x = -4 into the expression for g'(x): g'(-4) = 8 + 144(-4) = 8 - 576 = -568.

If g'(-4) = 0, it indicates that there is a critical point at x = -4. However, since g'(-4) = -568, we can conclude that there is no local minimum or local maximum at x = -4.

The sign of g'(-4) (-568 in this case) indicates the direction of the function's slope at that point. A negative value suggests a decreasing slope, while a positive value suggests an increasing slope. In this case, g'(-4) = -568 suggests a decreasing slope at x = -4, but it does not imply the presence of a local minimum or local maximum. Further analysis or evaluation of higher-order derivatives is necessary to determine the nature of critical points and extrema in the function.

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The distance between the point (-1, 1, 1) and the set 5 = {(x, y, z): 2 = xy} Z is √3. to find the distance, we need to determine the closest point on the set to (-1, 1, 1).

Since the set is defined as 2 = xy, we can substitute x = -1 and y = 1 into the equation to obtain 2 = -1*1, which is not satisfied. Therefore, the point (-1, 1, 1) does not lie on the set. As a result, the distance is the shortest distance between a point and a set, which in this case is √3.

To explain the calculation in more detail, we first need to understand what the set 5 = {(x, y, z): 2 = xy} represents. This set consists of all points (x, y, z) that satisfy the equation 2 = xy.

To find the distance between the point (-1, 1, 1) and this set, we want to determine the closest point on the set to (-1, 1, 1).

Substituting x = -1 and y = 1 into the equation 2 = xy, we get 2 = -1*1, which simplifies to 2 = -1. However, this equation is not satisfied, indicating that the point (-1, 1, 1) does not lie on the set.

When a point does not lie on a set, the distance is calculated as the shortest distance between the point and the set. In this case, the shortest distance is the Euclidean distance between (-1, 1, 1) and any point on the set 5 = {(x, y, z): 2 = xy}.

Using the Euclidean distance formula, the distance between two points (x₁, y₁, z₁) and (x₂, y₂, z₂) is given by:

[tex]distance = √((x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²).[/tex]

In our case, let's choose a point on the set, say (x, y, z) = (0, 2, 1). Plugging in the values, we have:

[tex]distance = √((0 - (-1))² + (2 - 1)² + (1 - 1)²) = √(1 + 1 + 0) = √2.[/tex]

Therefore, the distance between the point (-1, 1, 1) and the set 5 = {(x, y, z): 2 = xy} is √2.

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The problem asks us to evaluate the surface integral over the given surfaces using the given vector field. In part (a), the surface S is defined by the equation [tex]x^2 + y^2[/tex]+ [tex]z^2 = 4,[/tex]and the vector field [tex]G = x^2 + y^2.[/tex] In part (b), the surface S is defined by the equation  and the vector field G = 2y. We need to calculate the surface integral for each case.

(a) For part (a), we are given the surface S defined by the equation x^2 + y^2 + z^2 = 4 and the vector field G = x^2 + y^2. To evaluate the surface integral, we use the formula:[tex]\int\limits\int\limitsS G·dS = \int\limits \int\limitsS (Gx dx + Gy dy + Gz dz),[/tex]

where dS is the surface element.

Since  [tex]Gy = x^2 + y^2,[/tex]we have Gx = 2x and Gy = 2y. The surface element dS can be written as [tex]dS = \sqrt(1 + (dz/dx)^2 + (dz/dy)^2) dA[/tex], where dA is the area element in the xy-plane.

We can rewrite the equation of the surface S as [tex]z = √(4 - x^2 - y^2)[/tex], and by differentiating, we find [tex]dz/dx = -x/√(4 - x^2 - y^2)[/tex]and [tex]dz/dy = -y/√(4 - x^2 - y^2)[/tex]

Plugging these values into the formula, we get:

[tex]\int\limitsdx \int\limitsS G·dS = \int\limits \int\limitsS (2x dx + 2y dy - (x^2 + y^2)(x/\sqrt(4 - x^2 - y^2) dx - (x^2 + y^2)(y/\sqrt(4 - x^2 - y^2) dy) dA.[/tex]

The limits of integration will depend on the region of the xy-plane that corresponds to the surface S.

(b) For part (b), we have the surface S defined by the equatio[tex]x^2 + 4y^2 = 4,[/tex] and the vector field G = 2y. Using similar steps as in part (a), we can evaluate the surface integral by applying the formula ∬S G·dS, where Gx = 0, Gy = 2, and dS is the surface element.

Again, the limits of integration will depend on the region of the xy-plane that corresponds to the surface S. By evaluating the integrals and applying the appropriate limits of integration, we can find the values of the surface integrals for both parts (a) and (b).

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The rate at which the radius decreases when the radius is 4 cm is som/(32π) cm/min.

To get the rate at which the radius of the snowball decreases, we need to use the relationship between the surface area and the radius of a sphere.

The surface area (A) of a sphere with radius r is given by the formula:

A = 4πr^2

We are provided that the surface area is decreasing at a rate of ds/dt (cm^2/min). We want to get the rate at which the radius (dr/dt) is decreasing when the radius is 4 cm.

We can differentiate the surface area formula with respect to time (t) using implicit differentiation:

dA/dt = 8πr(dr/dt)

Now we can substitute the values:

ds/dt = -8π(4)(dr/dt)

We are that ds/dt = -som/min. Substituting this value:

-som/min = -8π(4)(dr/dt)

Simplifying:

som/min = 32π(dr/dt)

To obtain the rate at which the radius decreases (dr/dt), we rearrange the equation:

dr/dt = som/(32π)

Therefore, the rate at which the radius decreases when the radius is 4 cm is som/(32π) cm/min.

Note: The exact answer in terms of fractions is som/(32π) cm/min.

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By fitting a line to the given data points, we can determine a formula for the moose population, P, in terms of t, the years since 1990. Using this formula, we can predict the moose population in 2009.

We are given two data points: (1994, 3130) and (1997, 2890). To find the formula for the moose population in terms of t, we can use the slope-intercept form of a linear equation, y = mx + b, where y represents the population, x represents the years since 1990, m represents the slope, and b represents the y-intercept.

First, we calculate the slope (m) using the formula: m = (y2 - y1) / (x2 - x1), where (x1, y1) = (1994, 3130) and (x2, y2) = (1997, 2890). Substituting the values, we find m = -80.

Next, we need to find the y-intercept (b). We can choose any data point and substitute the values into the equation y = mx + b to solve for b. Let's use the point (1994, 3130):

3130 = -80 * 4 + b

b = 3210

Therefore, the formula for the moose population, P, in terms of t, is P(t) = -80t + 3210.

To predict the moose population in 2009 (t = 19), we substitute t = 19 into the formula:

P(19) = -80 * 19 + 3210 = 1610.

According to our model, the predicted moose population in 2009 would be 1610.

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According to the Intermediate Value Theorem, there must be at least one value c in the range (a, b) such that f(c) = 0 for a continuous function f(x) if f(a) and f(b) have opposite signs.

Think about the formula cos(x) = 4x4. Cos(x) and 4x4 are continuous functions, hence this function is also continuous.

We can evaluate f(a) and f(b) for certain values of x to determine the interval (a, b) where the function changes sign.Assume that the interval's ends are a = 0 and b = 1. By calculating f(0) = cos(0) - 4(0)4 = 1 - 0 = 1, and f(1) = cos(1) - 4(1)4 = -0.134 0, the equations are evaluated.

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The value of a that maximizes the line integral is 15√3/2. Line integrals are a concept in vector calculus that involve calculating the integral of a vector field along a curve or path.

To evaluate the line integral of the vector field F around the circle of radius a centered at the origin and traversed counterclockwise, we can use Green's theorem. Green's theorem states that the line integral of a vector field around a closed curve is equal to the double integral of the curl of the vector field over the region enclosed by the curve.

Given vector field F = (9x²y + 3y³ + 2er)i + (3ev? + 225x)j, we can calculate its curl:

curl(F) = ∇ x F

= (∂/∂x, ∂/∂y, ∂/∂z) x (9x²y + 3y³ + 2er, 3ev? + 225x)

= (0, 0, (∂/∂x)(3ev? + 225x) - (∂/∂y)(9x²y + 3y³ + 2er))

= (0, 0, 225 - 6y² - 6y)

Since the curl has only a z-component, we can ignore the first two components for our calculation.

Now, let's evaluate the double integral of the z-component of the curl over the region enclosed by the circle of radius a centered at the origin.

∬ R (225 - 6y² - 6y) dA

To find the maximum value of the line integral, we need to determine the value of a that maximizes this double integral. Since the region enclosed by the circle is symmetric about the x-axis, we can integrate over only the upper half of the circle.

Using polar coordinates, we have:

x = rcosθ

y = rsinθ

dA = r dr dθ

The limits of integration for r are from 0 to a, and for θ from 0 to π.

∫[0,π]∫[0,a] (225 - 6r²sin²θ - 6r sinθ) r dr dθ

Let's solve this integral to find the line integral for a = 1.

The integral can be split into two parts:

∫[0,π]∫[0,a] (225r - 6r³sin²θ - 6r² sinθ) dr dθ

= ∫[0,π] [(225/2)a² - (6/4)a⁴sin²θ - (6/3)a³sinθ] dθ

= π[(225/2)a² - (6/4)a⁴] - 6π/3 [(a³/3 - a³/3)]

= π[(225/2)a² - (6/4)a⁴ - 6/3a³]

Substituting a = 1, we get:

line integral = π[(225/2) - (6/4) - 6/3]

= π[112.5 - 1.5 - 2]

= π(109)

Therefore, the line integral for a = 1 is 109π.

To find the value of a that maximizes the line integral, we can take the derivative of the line integral with respect to a and set it equal to zero.

d(line integral)/da = 0

Differentiating π[(225/2)a² - (6/4)a⁴ - 6/3a³] with respect to a, we have:

π[225a - (6/2)4a³ - (6/3)3a²] = 0

225a - 12a³ - 6a² = 0

a(225 - 12a² - 6a) = 0

The values of a that satisfy this equation are a = 0, a = ±√(225/12).

However, a cannot be negative or zero since it represents the radius of the circle, so we consider only the positive value:

a = √(225/12) = √(225)/√(12) = 15/√12 = 15√3/2

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Answer:

0.3632

Step-by-step explanation:

[tex]\displaystyle P(X < 268)\\\\=P\biggr(Z < \frac{268-274}{17}\biggr)\\\\=P(Z < -0.35)\\\\\approx0.3632[/tex]

Therefore, the probability that a randomly selected pregnancy lasts less than 268 days is 0.3632

The probability of a randomly selected pregnancy lasting less than 268 days is about 36.21%.

We need to use the normal distribution formula. We know that the mean (μ) is 274 days and the standard deviation (σ) is 17 days. We want to find the probability of a pregnancy lasting less than 268 days.

First, we need to standardize the value using the formula z = (x - μ) / σ, where x is the value we are interested in. In this case, x = 268.

z = (268 - 274) / 17 = -0.35

Next, we look up the probability of z being less than -0.35 in the standard normal distribution table or use a calculator. The probability is 0.3632.

Therefore, the probability that a randomly selected pregnancy lasts less than 268 days is 0.3632 or approximately 36.32%.
However, I'll keep my response concise and to-the-point as per my guidelines.

Given that the lengths of pregnancies for this animal are normally distributed, we have a mean (μ) of 274 days and a standard deviation (σ) of 17 days.

(a) To find the probability of a randomly selected pregnancy lasting less than 268 days, we'll first convert the length of 268 days to a z-score:

z = (X - μ) / σ
z = (268 - 274) / 17
z = -6 / 17
z ≈ -0.353

Now, we'll use a z-table or calculator to find the probability associated with this z-score. The probability of a z-score of -0.353 is approximately 0.3621.

So, the probability of a randomly selected pregnancy lasting less than 268 days is about 36.21%.

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The total area of the regions between the curves is 0.17 square units

From the question, we have the following parameters that can be used in our computation:

x = y² - 2 and x = y - 2

For the intervals, we have

x = -2 and x = -1

Make y the subjects

So, we have

y = √(x + 2) and y = x + 2

So, the area of the regions between the curves is

Area = ∫x + 2 - √(x + 2)

This gives

Area = ∫x + 2 - √(x + 2)

Integrate

Area =  -[4(x + 2)^3/2 - 3x(x + 4)]/6

Recall that x = -2 and x = -1

So, we have

Area = [4(-1 + 2)^3/2 - 3(-1)(-1 + 4)]/6 + [4(-2 + 2)^3/2 - 3(-2)(-2 + 4)]/6

Evaluate

Area =  0.17

Hence, the total area of the regions between the curves is 0.17 square units

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To determine if the limit of the function f(x, y) = 2x + y as (x, y) approaches (0, 0) exists, we need to evaluate the limit expression and check if it yields a unique value.

We can evaluate the limit by approaching (0, 0) along different paths. Let's consider two paths: the x-axis (y = 0) and the y-axis (x = 0).

For the x-axis approach, we substitute y = 0 into the function f(x, y):

lim(x,y→(0,0)) 2x + y = lim(x→0) 2x + 0 = lim(x→0) 2x = 0.

For the y-axis approach, we substitute x = 0 into the function f(x, y):

lim(x,y→(0,0)) 2x + y = lim(y→0) 2(0) + y = lim(y→0) y = 0.

Since the limit along the x-axis approach is 0 and the limit along the y-axis approach is also 0, we might conclude that the limit of f(x, y) as (x, y) approaches (0, 0) is 0. However, this is not the case.

Consider the path y = x^2. Substituting this into the function f(x, y):

lim(x,y→(0,0)) 2x + y = lim(x→0) 2x + x^2 = lim(x→0) x(2 + x) = 0.

This shows that along the path y = x^2, the limit is 0. However, since the limit of f(x, y) depends on the path of approach (in this case, the limit is different along different paths), we conclude that the limit does not exist as (x, y) approaches (0, 0).

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The method of Reduction of order produces the second solution y2 = y1(x)· ∫ [exp (-∫p(x) dx) / y1²(x)] dx. The given differential equation is (1 - 2x - x²)y' + 2(1+x)y – 2y = 0, which is a second-order linear differential equation.

Let's find the homogeneous equation first as follows: (1 - 2x - x²)y' + 2(1+x)y – 2y = 0     ...(i)

Using the given function y1 = 2 + x, let's assume the second solution y2 as y2 = v(x) y1(x).

Substituting this in equation (i), we have y1(x) [(1 - 2x - x²)v' + (2 - 2x)v] + y1'(x) [2v] = 0 ⇒ (1 - 2x - x²)v' + (2 - 2x)v = 0.

Dividing both sides by v y' /v + (-2x-1) / (x² + x - 2) + 2 / (x + 1) = 0...[∵Integrating factor, I.F = 1 / (y1(x))² = 1 / (2 + x)²].

Integrating the above equation, we get v(x) = C / (2 + x)² + x + 1/2C is the constant of integration.

Substituting this in y2 = v(x) y1(x), we get:y2 = (C / (2 + x)² + x + 1/2)(2 + x) ...[∵ y1 = 2 + x]y2 = C (2 + x) + x(2 + x) + 1/2(2 + x) ...(ii)

Therefore, the required second solution is y2 = C (2 + x) + x(2 + x) + 1/2(2 + x) ...[from (ii)].

Hence, the correct option is (d) C (2 + x) + x(2 + x) + 1/2(2 + x).

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a. After 3 hours, the runner is approximately -10cos(3) + 10 km away from home. b. After 5 hours, the total running distance is approximately -10cos(5) + 10 km. c. The farthest distance from home is 10 km, reached when sin(t) = 1. d. The runner passes by home every time t is a multiple of π radians.

a. To find the distance the runner is from home after 3 hours, we need to integrate the runner's velocity function, v(t), from t=0 to t=3. The integral of v(t) with respect to t gives us the displacement.

Using the given velocity function v(t) = 10sin(t), the integral of v(t) from t=0 to t=3 is

[tex]\int\limits^0_3[/tex]10sin(t) dt

This can be evaluated as follows

[tex]\int\limits^0_3[/tex]10sin(t) dt = [-10cos(t)] [0 to 3] = -10cos(3) - (-10cos(0)) = -10cos(3) + 10

So, the runner is approximately -10cos(3) + 10 km away from home after 3 hours.

b. To find the total running distance after 5 hours, we need to find the integral of the absolute value of the velocity function, v(t), from t=0 to t=5. This will give us the total distance traveled.

Using the given velocity function v(t) = 10sin(t), the integral of |v(t)| from t=0 to t=5 is

[tex]\int\limits^0_5[/tex] |10sin(t)| dt

Since |sin(t)| is positive for all values of t, we can simplify the integral as follows:

[tex]\int\limits^0_5[/tex] 10sin(t) dt = [-10cos(t)] [0 to 5] = -10cos(5) - (-10cos(0)) = -10cos(5) + 10

So, the total running distance after 5 hours is approximately -10cos(5) + 10 km.

c. The farthest distance the runner can be away from home is determined by finding the maximum value of the absolute value of the velocity function, |v(t)|. In this case, |v(t)| = |10sin(t)|.

The maximum value of |v(t)| occurs when sin(t) is at its maximum value, which is 1. Therefore, the farthest distance the runner can be away from home is |10sin(t)| = 10 * 1 = 10 km.

d. The runner will pass by home each time the velocity function, v(t), changes sign. Since v(t) = 10sin(t), the sign of v(t) changes each time sin(t) changes sign, which occurs at each multiple of π radians.

Therefore, the runner will pass by home every time t is a multiple of π radians. In other words, the runner will pass by home an infinite number of times as t continues to increase.

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The cost for each item is given as follows:

The variables for the system of equations are given as follows:

The company sold 49 wallets and 73 belts, for a total of $5,466, hence the first equation is given as follows:

49x + 73y = 5466

x + 1.49y = 111.55

x = 111.55 - 1.49y.

This month, they sold 100 wallets and 32 belts, for a total of $6,008, hence the second equation is given as follows:

100x + 32y = 6008

x + 0.32y = 60.08

x = -0.32y + 60.08.

Equaling both equations, the value of y is obtained as follows:

111.55 - 1.49y = -0.32y + 60.08

1.17y = 51.47

y = 51.47/1.17

y = 44.

Then the value of x is given as follows:

x = -0.32 x 44 + 60.08

x = 46.

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By applying the REF technique, we can use linear algebra to determine whether the given lines intersect in R3. Hence, they intersect at unique point.

To determine whether two lines intersect, you can set up a system of equations by equating two parametric equations:

p1 + t1o1 = p2 + sU1

This equation can be rewritten as:

(p1 - p2) + t1o1 - sU1 = 0

The coefficients for t1, s, and the constant term must be zero for the lines to intersect. Now we can express this system of equations as an augmented matrix for linear algebra:

[tex]| o1.x -U1.x | | t1 | | p2.x - p1.x |\\| o1.y - U1.y | | s | = | p2.y - p1.y |\\| o1.z -U1.z | | p2.z - p1.z |[/tex]

By performing row operations and converting the extended matrix to row echelon (REF) form, you can determine if the system is consistent. If the REF shape of the matrix has zero rows on the left and nonzero elements on the right, the lines do not cross. However, if there are no zero rows on the left side of the REF form of the matrix, or if all the elements on the right side are also zero, then the lines intersect at a definite point.

Applying the REF technique, you can use linear algebra to determine whether the given lines intersect at R3. 

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(a) The integral can be solved by using the substitution u = tan x + 1. The final answer is ln|tan x + 1| + C.

(b) The integral can be solved by using the substitution u = 2x + 1. The final answer is (1/4)ln|2x + 1| - (1/2)ln|2x + 3| + C.

(c) The integral can be solved by using the substitution u = x + 1. The final answer is 2sqrt(u^2 - 2u) - 2uarcsec(u) + C.

(d) The integral can be solved by using the substitution u = tan x. The final answer is (1/6)ln|cos x| - (1/2)tan^2 x + C.

(e) In summary, the given integrals can be solved by using different substitution techniques and the final answer can be obtained using integration rules.

To solve the integrals, one needs to understand which substitution to use and how to apply it. In this case, the substitution u = tan x + 1, u = 2x + 1, u = x + 1, and u = tan x were used respectively.

One also needs to know the integration rules such as the power rule, chain rule, product rule, and trigonometric rules.

These rules are used to simplify and solve the integral fully. The final answer includes the constant of integration, which can be added to any solution.

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the derivative of f(x) is ( - 8x - 20)(4x+1)²/ (2x-1)⁵

Given f(x)  = (4x+1)³/ (2x-1)⁴

The quotient rule states that if we have a function h(x) = g(x) / k(x), where g(x) and k(x) are differentiable functions, then the derivative of h(x) is given by:

h'(x) = (g'(x) * k(x) - g(x) * k'(x)) / (k(x))²

Using quotient rule

f'(x) = ( (2x-1)⁴ * d((4x+1)³)/dx - (4x+1)³ * d((2x-1)⁴)dx) / ((2x-1)⁴)²

= ( (2x-1)⁴ * 3 * (4x+1)² *4 - (4x+1)³ * 4 * (2x-1)³ * 2) / (2x-1)⁸

= ( 12 (2x-1)⁴ (4x+1)² - 8 (4x+1)³ (2x-1)³) / (2x-1)⁸

= (2x-1)³  (4x+1)² ( 12 (2x-1) - 8 (4x+1)) / (2x-1)⁸

= (4x+1)² ( 24x - 12 - 32x -8) / (2x-1)⁵

= (4x+1)² ( - 8x - 20) / (2x-1)⁵

= ( - 8x - 20)(4x+1)²/ (2x-1)⁵

Therefore, the derivative of f(x) is ( - 8x - 20)(4x+1)²/ (2x-1)⁵

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Given question is incomplete, the complete question is below

f(x)  = (4x+1)³/ (2x-1)⁴

Note: To simplify the derivative, you must common factor, then expand/simplify what's left in the brackets.

The integral ∬R e^(x+y) dA, where R is the region described as -x ≤ y ≤ x and 4 ≤ x ≤ 7, can be evaluated as e^(14) - e^(-14).

To evaluate the given integral, we need to integrate the function e^(x+y) over the region R defined by the inequalities -x ≤ y ≤ x and 4 ≤ x ≤ 7.

First, let's visualize the region R. The region R is a triangular region in the xy-plane bounded by the lines y = -x, y = x, and the vertical lines x = 4 and x = 7. It extends from x = 4 to x = 7 and within that range, the values of y are bounded by -x and x.

To evaluate the integral, we need to set up the limits of integration for both x and y. Since the region R is described by -x ≤ y ≤ x and 4 ≤ x ≤ 7, we integrate with respect to y first and then with respect to x.

For each value of x within the interval [4, 7], the limits of integration for y are -x and x. Thus, the integral becomes:

∬R e^(x+y) dA = ∫[4 to 7] ∫[-x to x] e^(x+y) dy dx.

Evaluating the inner integral with respect to y, we get:

∫[-x to x] e^(x+y) dy = e^(x+y) evaluated from -x to x.

Simplifying this, we have:

e^(x+x) - e^(x+(-x)) = e^(2x) - e^0 = e^(2x) - 1.

Now, we can integrate this expression with respect to x over the interval [4, 7]:

∫[4 to 7] (e^(2x) - 1) dx.

Evaluating this integral, we get:

(e^(14) - e^(8))/2 - (e^(8) - 1)/2 = e^(14) - e^(-14).

Therefore, the value of the integral ∬R e^(x+y) dA over the region R is e^(14) - e^(-14).

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The function y(r) satisfies the differential equation -730y'(r) = 0 for all values of r.

The given differential equation is -730y'(r) = 0, where y'(r) represents the derivative of y with respect to r. To find the values of r for which the equation is satisfied, we need to solve it.

The equation -730y'(r) = 0 can be rewritten as y'(r) = 0. This equation states that the derivative of y with respect to r is zero. In other words, y is a constant function with respect to r.

For any constant function, the value of y does not change as r varies. Therefore, the equation y'(r) = 0 is satisfied for all values of r. It means that the function y(r) satisfies the given differential equation -730y'(r) = 0 for all values of r.

In conclusion, there is no specific range of values for r for which the differential equation is satisfied. The function y(r) can be any constant function, and it will satisfy the equation for all values of r.

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The third-degree Taylor polynomial for f(x) = cos x at a = -1/6 is [tex]\[P_3(x) = \cos(-1/6) - \sin(-1/6)(x + 1/6) - \frac{{\cos(-1/6)}}{{2}}(x + 1/6)^2 + \frac{{\sin(-1/6)}}{{6}}(x + 1/6)^3\][/tex]

To find the third-degree Taylor polynomial for the function f(x) = cos x at a = -1/6., we can use the formula for the Taylor polynomial, which is given by:

[tex]\[P_n(x) = f(a) + f'(a)(x-a) + \frac{{f''(a)}}{{2!}}(x-a)^2 + \frac{{f'''(a)}}{{3!}}(x-a)^3 + \ldots + \frac{{f^{(n)}(a)}}{{n!}}(x-a)^n\][/tex]

First, let's calculate the values of [tex]$f(a)$, $f'(a)$, $f''(a)$, and $f'''(a)$ at $a = -1/6$:[/tex]

[tex]\[f(-1/6) = \cos(-1/6)\]\[f'(-1/6) = -\sin(-1/6)\]\[f''(-1/6) = -\cos(-1/6)\]\[f'''(-1/6) = \sin(-1/6)\][/tex]

Now, we can substitute these values into the Taylor polynomial formula:

[tex]\[P_3(x) = \cos(-1/6) + (-\sin(-1/6))(x-(-1/6)) + \frac{{-\cos(-1/6)}}{{2!}}(x-(-1/6))^2 + \frac{{\sin(-1/6)}}{{3!}}(x-(-1/6))^3\][/tex]

Simplifying and using the properties of trigonometric functions:

[tex]\[P_3(x) = \cos(-1/6) - \sin(-1/6)(x + 1/6) - \frac{{\cos(-1/6)}}{{2}}(x + 1/6)^2 + \frac{{\sin(-1/6)}}{{6}}(x + 1/6)^3\][/tex]

The third-degree Taylor polynomial for f(x) = cos x at a = -1/6 is given by the above expression.

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Therefore, the equation of the tangent line to the curve y^2 = 5x^4 - x^2 at the point (1, 2) is y = (9/2)x - 7/2.

To find the equation of the tangent line to the curve y^2 = 5x^4 - x^2 at the point (1, 2), we can use the concept of derivatives.

First, we differentiate both sides of the equation y^2 = 5x^4 - x^2 with respect to x:

2y * dy/dx = 20x^3 - 2x.

Next, substitute the coordinates of the given point (1, 2) into the derivative equation:

2(2) * dy/dx = 20(1)^3 - 2(1).

Simplifying:

4 * dy/dx = 20 - 2,

4 * dy/dx = 18,

dy/dx = 18/4,

dy/dx = 9/2.

The derivative dy/dx represents the slope of the tangent line at any given point on the curve.

Now, using the point-slope form of a line, we can write the equation of the tangent line:

y - y1 = m(x - x1),

where (x1, y1) is the point (1, 2) and m is the slope dy/dx.

Plugging in the values, we have:

y - 2 = (9/2)(x - 1).

Simplifying and rearranging:

y = (9/2)x - 7/2

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The parametric representation of the elliptic paraboloid [tex]z = x^2 + 4y^2[/tex]can be expressed as x = u, y = v, and[tex]z = u^2 + 4v^2[/tex], where u and v are parameters.

To find the parametric representation of the elliptic paraboloid, we can set x = u and y = v, where u and v are the parameters that determine the position on the surface. Substituting these values into the equation

[tex]z = x^2 + 4y^2[/tex], we get [tex]z = u^2 + 4v^2[/tex].

In this parametric representation, u and v can take any real values, and for each combination of u and v, we obtain a point (x, y, z) on the surface of the elliptic paraboloid. By varying the values of u and v, we can trace out the entire surface.

For example, if we let u and v vary from -1 to 1, we would generate a grid of points on the surface of the elliptic paraboloid. By connecting these points, we can visualize the shape of the surface.

The parameterization allows us to easily manipulate and study the properties of the surface, such as finding tangent planes, calculating surface area, or integrating over the surface.

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To find the critical values of the function f(x) = -2x³ + 36x² - 162x + 7, we need to find the values of x where the derivative f'(x) equals zero or is undefined.

First, let's find the derivative of f(x):

f'(x) = -6x² + 72x - 162

Next, we set f'(x) equal to zero and solve for x:

-6x² + 72x - 162 = 0

We can simplify this equation by dividing both sides by -6:

x² - 12x + 27 = 0

Now, let's factor the quadratic equation:

(x - 3)(x - 9) = 0

Setting each factor equal to zero gives us the critical values:

x - 3 = 0 --> x = 3

x - 9 = 0 --> x = 9

So, the critical values are x = 3 and x = 9.

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