Find the particular antiderivative of the following derivative that satisfies the given condition. C'(x) = 6x² - 5x; C(O) = 3,000 O= C(x)=0

The number of computers sold each month, S(t), is given by:

S(t) = -125te^(0.2t) + 625e^(0.2t)/0.2 + C.

To determine the number of computers sold each month, we need to integrate the rate of decline function S'(t) = -5te^(0.2t) with respect to t.

Let's integrate S'(t):

[tex]∫S'(t) dt = ∫-5te^(0.2t) dt[/tex]

To solve this integral, we can use integration by parts. The formula for integration by parts is:

[tex]∫u dv = uv - ∫v du[/tex]

Let's assign u and dv:

[tex]u = tdv = -5e^(0.2t) dt[/tex]

Taking the derivatives:

[tex]du = dtv = -∫5e^(0.2t) dt[/tex]

To find v, we can integrate dv:

[tex]v = -∫5e^(0.2t) dtv = -∫5e^(0.2t) dt = -∫5 * (1/0.2)e^(0.2t) dt = -25e^(0.2t)/0.2 + C[/tex]

Now, let's apply the integration by parts formula:

[tex]∫S'(t) dt = -t * (25e^(0.2t)/0.2) + ∫(25e^(0.2t)/0.2) dt[/tex]

Simplifying:

[tex]∫S'(t) dt = -5t * (25e^(0.2t)/0.2) + 125∫e^(0.2t) dt∫S'(t) dt = -125te^(0.2t) + 125(5e^(0.2t))/0.2 + C[/tex]

Combining terms:

[tex]∫S'(t) dt = -125te^(0.2t) + 625e^(0.2t)/0.2 + C[/tex]

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a)The actual additional cost of producing the 21st food processor is $29.50.

b) Using the marginal cost approximation, the cost of producing the 21st food processor is $2,830.

a) To find the actual additional cost of producing the 21st food processor, we need to calculate the difference between the total cost of producing 21 processors and the total cost of producing 20 processors.

The total cost of producing x food processors is given by C(x) = 2,000 + 50x - 0.5x^2.

To find the cost of producing the 20th processor, we substitute x = 20 into the cost equation:

C(20) = 2,000 + 50(20) - 0.5(20)^2

= 2,000 + 1,000 - 0.5(400)

= 2,000 + 1,000 - 200

= 3,000 - 200

= 2,800

Now, we calculate the cost of producing the 21st processor:

C(21) = 2,000 + 50(21) - 0.5(21)^2

= 2,000 + 1,050 - 0.5(441)

= 2,000 + 1,050 - 220.5

= 3,050 - 220.5

= 2,829.5

The actual additional cost of producing the 21st food processor is the difference between C(21) and C(20):

Additional cost = C(21) - C(20)

= 2,829.5 - 2,800

= 29.5

Therefore, the actual additional cost of producing the 21st food processor is $29.50.

b) To approximate the cost of producing the 21st food processor using marginal cost, we need to find the derivative of the cost function with respect to x.

C'(x) = 50 - x

The marginal cost represents the rate of change of the total cost with respect to the number of units produced. So, to approximate the cost of producing the 21st processor, we evaluate the derivative at x = 20 (since the 20th processor has already been produced).

Marginal cost at x = 20:

C'(20) = 50 - 20

= 30

The marginal cost is $30 per unit. Since we are interested in the cost of producing the 21st food processor, we can approximate it by adding the marginal cost to the cost of producing the 20th processor.

Approximated cost of producing the 21st food processor = Cost of producing the 20th processor + Marginal cost

= C(20) + C'(20)

= 2,800 + 30

= 2,830

Therefore, using the marginal cost approximation, the cost of producing the 21st food processor is $2,830.

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Therefore, the expected difference in the price of milk would be approximately -$101.00 when rounded to two decimal places.

To find the expected difference in the price of milk given a difference of $50.30 in the price of eggs, we need to calculate the average difference in the price of milk based on the given data.

Looking at the given data, we can observe the corresponding changes in the price of eggs and milk:

Price of eggs | Price of milk

1.30 | 3.16

1.28 | 3.12

1.21 | 3.07

1.24 | 3.00

1.21 | 3.08

1.24 | 3.02

1.25 | 3.05

1.26 | 3.06

1.35 | 2.99

1.54 | 3.00

Calculating the differences between consecutive prices, we have:

Egg difference: 1.28 - 1.30 = -0.02

Milk difference: 3.12 - 3.16 = -0.04

Based on this data, we can see that the average difference in the price of milk is -0.04 for a $0.02 difference in the price of eggs.

Now, to calculate the expected difference in the price of milk given a $50.30 difference in the price of eggs, we can use the following proportion:

(-0.04) / 0.02 = x / 50.30

Cross-multiplying and solving for x, we have:

(-0.04 * 50.30) / 0.02 ≈ -101

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The function f(x) = -9 is continuous on the entire real number line.

To determine the intervals where the function f(x) = -9 is continuous, we need to consider the entire real number line.

Since f(x) is a constant function (-9 in this case), it is continuous for all real values of x. Continuous functions have no breaks, jumps, or holes in their graph. In this case, the graph of f(x) = -9 is a horizontal line passing through the y-axis at y = -9, and it is continuous for all values of x.

Therefore, the function f(x) = -9 is continuous on the entire real number line.

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To compute the derivative of f(t) = cos(t) + sin(t) + 2t, we differentiate each term separately:the integral of r(t) with respect to t is[tex]sin(t)i - cos(t)j + t^2k + C.[/tex]

f'(t) = (-sin(t)) + (cos(t)) + 2

So, f'(t) = cos(t) - sin(t) + 2.

To compute the integral of r(t) = cos(t)i + sin(t)j + 2tk with respect to t, we integrate each component separately:

[tex]∫r(t) dt = ∫(cos(t)i + sin(t)j + 2tk) dt[/tex]

[tex]= ∫cos(t)i dt + ∫sin(t)j dt + ∫2tk dt[/tex]

[tex]= sin(t)i - cos(t)j + t^2k + C[/tex]

where C is the constant of integration.

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The answers of sinh are A. [tex]\( \sinh(\log(3) - \log(2)) = \frac{7}{6}\)[/tex], B. [tex]\( \sin(\arccos(x)) = \sqrt{1 - x^2}\).[/tex] and C. There are no values of [tex]\( \cosh(r) \)[/tex] that satisfy tanh(x) = 1.

(a) To calculate [tex]\( \sinh(\log(3) - \log(2)) \)[/tex], we can use the properties of hyperbolic functions and logarithms.

First, let's simplify the expression inside the hyperbolic sine function:

[tex]\(\log(3) - \log(2) = \log\left(\frac{3}{2}\right)\)[/tex]

Next, we can use the relationship between hyperbolic functions and exponential functions:

[tex]\(\sinh(x) = \frac{e^x - e^{-x}}{2}\)[/tex]

Applying this to our expression:

[tex]\(\sinh(\log(3) - \log(2)) = \frac{e^{\log(3/2)} - e^{-\log(3/2)}}{2}\)[/tex]

Simplifying further:

[tex]\(\sinh(\log(3) - \log(2)) = \frac{\frac{3}{2} - \frac{1}{3/2}}{2} = \frac{3}{2} - \frac{2}{3} = \frac{7}{6}\)[/tex]

Therefore, [tex]\( \sinh(\log(3) - \log(2)) = \frac{7}{6}\).[/tex]

(b) To calculate [tex]\( \sin(\arccos(x)) \)[/tex], we can use the relationship between trigonometric functions:

[tex]\(\sin(\arccos(x)) = \sqrt{1 - x^2}\)[/tex]

Therefore, [tex]\( \sin(\arccos(x)) = \sqrt{1 - x^2}\).[/tex]

(c) Using the hyperbolic identity [tex]\( \cosh^2(r) - \sinh^2(r) = 1 \)[/tex], we can find the values of cosh(r) if tanh(x) = 1.

Since [tex]\( \tanh(x) = \frac{\sinh(x)}{\cosh(x)} \), if \( \tanh(x) = 1 \)[/tex], then [tex]\( \sinh(x) = \cosh(x) \)[/tex].

Substituting this into the hyperbolic identity:

[tex]\( \cosh^2(r) - \cosh^2(r) = 1 \)[/tex]

Simplifying further:

[tex]\( -\cosh^2(r) = 1 \)[/tex]

Taking the square root:

[tex]\( \cosh(r) = \pm \sqrt{-1} \)[/tex]

Since the square root of a negative number is not defined in the real number system, there are no real values of cosh (r))that satisfy tanh(x) = 1.

Therefore, there are no values of [tex]\( \cosh(r) \)[/tex] that satisfy tanh(x) = 1.

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To solve the given differential equations using Laplace transforms, we need to apply the Laplace transform to both sides of the equations. By transforming the differential equations into algebraic equations in the Laplace domain and using the initial conditions, we can find the Laplace transforms of the unknown functions. Then, by taking the inverse Laplace transform, we obtain the solutions in the time domain.

Let's denote the unknown function as Y(s) and its derivative as Y'(s). Applying the Laplace transform to the given differential equations, we have sY(s) - y(0) = -3sY(s) + 45 - 3. Using the initial conditions y(0) = -2 and y'(0) = 45 - 3, we substitute these values into the Laplace transformed equations. After rearranging the equations, we can solve for Y(s) and Y'(s) in terms of s. Next, we take the inverse Laplace transform of Y(s) and Y'(s) to obtain the solutions y(t) and y'(t) in the time domain.

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The expression <x, y> = (x + y)^2 - ||x - y||^2 defines an inner product on vector space V.

To show that the given expression is an inner product on vector space V, we need to verify the properties of an inner product: linearity, positive definiteness, and conjugate symmetry.

Linearity:

For any vectors x, y, and z in V, we can expand the expression as:

<x, y + z> = (x + y + z)^2 - ||x - (y + z)||^2

= (x + y + z)^2 - ||x - y - z||^2

Expanding and simplifying, we find:

<x, y + z> = <x, y> + <x, z>

Similarly, we can show that the expression satisfies the linearity property for scalar multiplication.

Positive Definiteness:

For any vector x in V, the expression simplifies to:

<x, x> = (x + x)^2 - ||x - x||^2

= 4x^2 - 0

= 4x^2

Since the norm II is non-negative and ||x||^2 = 0 if and only if x = 0, we have <x, x> = 4x^2 > 0 for x ≠ 0.

Conjugate Symmetry: The expression is real-valued, so it automatically satisfies conjugate symmetry.

Since the given expression satisfies all the properties of an inner product, we can conclude that <x, y> = (x + y)^2 - ||x - y||^2 defines an inner product on vector space V.

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The p-series ∫(10.7/x^0.7) dx from 1 to infinity diverges. Convergence refers to the behavior of a series or integral.

To determine the convergence or divergence of the p-series ∫(10.7/x^0.7) dx from 1 to infinity, we can use the Integral Test.

The Integral Test states that if the integral of a positive function f(x) from a to infinity converges or diverges, then the corresponding series ∫f(x) dx from a to infinity also converges or diverges.

Let's apply the Integral Test to the given p-series:

∫(10.7/x^0.7) dx from 1 to infinity

Integrating the function, we have:

∫(10.7/x^0.7) dx = 10.7 * ∫(x^(-0.7)) dx

Applying the power rule for integration, we get:

= 10.7 * [(x^(0.3)) / 0.3] + C

To evaluate the definite integral from 1 to infinity, we take the limit as b approaches infinity:

lim(b→∞) [10.7 * [(b^(0.3)) / 0.3] - 10.7 * [(1^(0.3)) / 0.3]]

The limit of the first term is calculated as:

lim(b→∞) [10.7 * [(b^(0.3)) / 0.3]] = ∞

The limit of the second term is calculated as:

lim(b→∞) [10.7 * [(1^(0.3)) / 0.3]] = 0

Since the limit of the integral as b approaches infinity is infinity, the corresponding series diverges.

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"Does the improper integral ∫(10.7/x^0.7) dx from 1 to infinity converge or diverge?"

The amplitude is 2, the phase shift is 2/3 to the right, and the period is 2π/3.

Given the function y = -2 sin(3x - 2) + 2, you can determine the amplitude, phase shift, and period using the following information:

Amplitude: The amplitude is the absolute value of the coefficient in front of the sine function. In this case, it is |-2| = 2.

Phase shift: The phase shift is determined by the value inside the parentheses of the sine function, which is (3x - 2). To find the phase shift, set the expression inside the parentheses equal to zero and solve for x: 3x - 2 = 0. Solving for x gives x = 2/3. The phase shift is 2/3 to the right.

Period: The period is the length of one complete cycle of the sine function. To find the period, divide 2π by the coefficient of x inside the parentheses. In this case, the period is 2π/3.

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The vector (4, 7) in R2 can be written as a linear combination of the vectors v1 = (1, 0) and v2 = (0, 1). Therefore, the statement is true.

To determine if the vector (4, 7) can be written as a linear combination of v1 and v2, we need to find coefficients such that the equation av1 + bv2 = (4, 7) holds true.

In this case, we can choose a = 4 and b = 7, which gives us 4v1 + 7v2 = 4(1, 0) + 7(0, 1) = (4, 0) + (0, 7) = (4, 7). Thus, the vector (4, 7) can be expressed as a linear combination of v1 and v2.

Therefore, the statement is true, and the vector (4, 7) can be written as a linear combination of v1 = (1, 0) and v2 = (0, 1).

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Hal did not make any errors in the procedure. His approach follows a logical and accurate method to approximate the square root of 82.5. Option D.

Hal did not make an error in the procedure. Let's analyze each step to confirm this:

Step 1: Hal correctly determines that the square root of 82.5, denoted as √82.5, lies between 9 and 10. This is because the value of 82.5 falls between the squares of 9 (81) and 10 (100). So, there is no error in step 1.

Step 2: Hal squares the tenths closer to 9, which are 9.0, 9.1, and 9.2. This is a correct step, and Hal correctly calculates the squares as 81.00, 82.81, and 84.64, respectively. Therefore, there is no error in step 2.

Step 3: Hal squares the hundredths closer to 9.1, which are 9.08 and 9.09. He correctly calculates the squares as 82.44 and 82.62, respectively. Since 82.5 lies between these two values, Hal chooses 9.09 as the best approximation. There is no error in step 3.

Step 4: Hal determines that 82.5 is closer to 82.62 than it is to 82.44, leading him to select 9.09 as the best approximation for √82.5. This is a correct decision based on the values obtained in previous steps. Hence, there is no error in step 4. Option D is correct.

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Answer:

ITS D

Step-by-step explanation:

To ensure that the function f(x) = (ax - b) / ([tex]x^{5}[/tex] + 1) is continuous for all values of x, we need to find the constraints for the parameters a and b. For the function to be continuous, the constraints are a ≠ 0 and b = 0.

To determine the constraints, we need to consider the conditions for continuity. A function is continuous at a particular point if three conditions are met: the function is defined at that point, the limit of the function exists at that point, and the limit is equal to the value of the function at that point. First, let's consider the denominator of the function,[tex]x^{5}[/tex]+ 1. This expression is defined for all real values of x.

Next, we examine the numerator, ax - b. To ensure the function is defined for all values of x, we need to ensure that the numerator is defined. This means that a and b must be chosen such that the numerator does not have any division by zero. In other words, we must avoid values of x that make ax - b equal to zero.

Since we want the function to be continuous for all values of x, we need to ensure that the limit of the function exists at all points. This means that as x approaches any value, the limit of the function should exist and be finite. For this to happen, the highest power of x in the numerator (ax - b) must be equal to or less than the highest power of x in the denominator ([tex]x^{5}[/tex]).

Considering the highest powers of x, we have [tex]x^{1}[/tex] in the numerator and [tex]x^{5}[/tex] in the denominator. To make the function continuous, we need to set a ≠ 0 to avoid division by zero and b = 0 to match the highest power of x in the numerator to the denominator. These constraints ensure that the function is continuous for all values of x.

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The largest possible volume of the box is approximately 6705.55 cm³.

The volume of a rectangular prism is given by multiplying the length, width, and height. In this case, since the base is a square with side length x and the height is also x, the volume (V) can be expressed as:

V = x² × x

V = x³

The critical numbers, we need to take the derivative of the volume function and set it equal to zero.

dV/dx = 3x²

Setting dV/dx equal to zero and solving for x:

3x² = 0

x² = 0

x = 0

The critical number x = 0 optimizes the model, we can perform a second derivative test. Taking the second derivative of the volume function:

d²V/dx² = 6x

Substituting x = 0 into the second derivative

d²V/dx² (x=0) = 6(0) = 0

Since the second derivative is zero, the second derivative test is inconclusive. However, we can see that when x = 0, the volume is also zero. Therefore, x = 0 is not a feasible solution for the dimensions of the box.

As x cannot be zero, the largest possible volume occurs at the boundary. In this case, the material is available for the surface area, which is the sum of the areas of the base and the four sides of the box.

Surface Area = Area of Base + Area of Four Sides

1300 cm² = x² + 4(x × x)

1300 = x² + 4x²

1300 = 5x²

x² = 260

x = √260

x ≈ 16.12 cm

Therefore, the largest possible volume of the box is obtained when the side length of the square base is approximately 16.12 cm. The corresponding volume is

V = x³

V = (16.12)³

V ≈ 6705.55 cm³

Hence, the largest possible volume of the box is approximately 6705.55 cm³.

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The piecewise-defined function is f(x) = x + 5. There are no z-values at which it is discontinuous

(a) To evaluate the limits of f(x), we need to consider the different cases based on the value of x.

For x → -5 (approaching from the left), f(x) = x + 5 → -5 + 5 = 0.

For x → -5 (approaching from the right), f(x) = x + 5 → -5 + 5 = 0.

For x → -5 (approaching from any direction), the limit of f(x) is 0.

(b) The function f(x) = x + 5 is continuous for all values of x since it is a linear function without any jumps, holes, or vertical asymptotes. Therefore, there are no z-values at which f(x) is discontinuous.

In summary, the limits of f(x) as x approaches -5 from any direction are all equal to 0. The function f(x) = x + 5 is continuous for all values of x, and there are no z-values at which it is discontinuous.

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The altitude of the sqaure prism with an area of one base 81 square feet and lateral area of 144 square feet is 4 feet.

A square prism is simply a three-dimensional solid shape which has six faces that are sqaure.

The lateral area of a square prism is expressed as;

LS = 4ah

Where a is the base length and  h is height.

Given that, the area of one base is  81 square feet, which means that the side length of the square base is:

a = √81

a = 9 feet

Also given that, the lateral area of the prism is 144 square feet, plug these values into the above formula and solve for the height h.

Lateral area = 4ah

144 = 4 × 9 × h

Solve for h:

144 = 36h

h = 144/36

h = 4 ft

Therefore, the height of the prism is 4 feet.

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The number of cars that pass through the intersection between 6 am and 11 am is 2625.

To find the number of cars that pass through the intersection between 6 am and 11 am, we need to evaluate the definite integral of the traffic flow rate function [tex]\(r(t) = 400 + 900t - 180t^2\) from \(t = 0\) to \(t = 5\).[/tex]

The integral represents the accumulation of traffic flow over the given time interval.

[tex]\[\int_0^5 (400 + 900t - 180t^2) \, dt\][/tex]

To solve the integral, we apply the power rule of integration and evaluate it as follows:

[tex]\[\int_0^5 (400 + 900t - 180t^2) \, dt = \left[ 400t + \frac{900}{2}t^2 - \frac{180}{3}t^3 \right]_0^5\][/tex]

Evaluating the integral at the upper and lower limits:

[tex]\[\left[ 400(5) + \frac{900}{2}(5)^2 - \frac{180}{3}(5)^3 \right] - \left[ 400(0) + \frac{900}{2}(0)^2 - \frac{180}{3}(0)^3 \right]\][/tex]

Simplifying the expression:

[tex]\[\left[ 2000 + \frac{2250}{2} - \frac{4500}{3} \right] - \left[ 0 \right]\][/tex]

[tex]\[= 2000 + 1125 - 1500\][/tex]

[tex]\[= 2625\][/tex]

Therefore, the number of cars that pass through the intersection between 6 am and 11 am is 2625.

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The function z in the given equation can be determined by substituting the value of a into the complex potential equation.

In the given equation, Ø(2) = y + ja represents the complex potential for an electric field, and a is defined as p? + (x+y)2-2xy + (x + y)(x - y). To determine the function z, we need to substitute the value of a into the complex potential equation.

Substituting the value of a, the equation becomes Ø(2) = y + j(p? + (x+y)2-2xy + (x + y)(x - y)). To simplify the equation, we can expand the terms inside the brackets and combine like terms. Expanding the terms, we get Ø(2) = y + jp? + j(x^2 + y^2 + 2xy - 2xy + x^2 - y^2).

Simplifying further, we have Ø(2) = y + jp? + j(2x^2). Hence, the function z in the equation is 2x^2.

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Answer:

3118/35 or 89.0857142

Step-by-step explanation:

convert 86.8 to fraction form which is 86 4/5 or 434/5 and add 16/7 by making the denominator same.

The partial fraction decomposition of B/(A(x-4)(x+3)² + C/(x+3)² is of the form B/(x-4) + A/(x+3) + C/(x+3)².

To perform partial fraction decomposition, we decompose the given rational expression into a sum of simpler fractions. The form of the decomposition is determined by the factors in the denominator.

In the given expression B/(A(x-4)(x+3)² + C/(x+3)², we have two distinct factors in the denominator: (x-4) and (x+3)². Thus, the partial fraction decomposition will consist of three terms: one for each factor and one for the repeated factor.

The first term will have the form B/(x-4) since (x-4) is a linear factor. The second term will have the form A/(x+3) since (x+3) is also a linear factor. Finally, the third term will have the form C/(x+3)² since (x+3)² is a repeated factor.

Therefore, the correct form of the partial fraction decomposition is B/(x-4) + A/(x+3) + C/(x+3)².

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We need to determine the appropriate axis of revolution. The correct axis of revolution can be identified based on the symmetry of the region and the axis that aligns with the boundaries of R.

Looking at region R, we observe that it is symmetric about the y-axis. The curve y = 3x^4 is reflected across the y-axis, and the lines x = 1 and x = -1 are equidistant from the y-axis. Therefore, the axis of revolution should be the y-axis (Option B). Revolving region R about the y-axis will generate a solid with rotational symmetry. To set up the integral for finding the volume, we will use the method of cylindrical shells. The integral will involve integrating the product of the circumference of each cylindrical shell, the height of the shell (corresponding to the differential element dx), and the function that represents the radius of each shell (in terms of x). While the integral setup is not explicitly required in the question, understanding the appropriate axis of revolution is crucial for correctly setting up the integral and finding the volume of the solid generated by revolving region R.

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The series Σn=2 n(ln(n))² sin(x) may be convergent or divergent. Since the limit is infinite, the series Σ (ln(n) • n) / (n+2)³ also converges

To determine its convergence, we need to analyze the behavior of the individual terms and their sum.

(a) The term n(ln(n))² sin(x) depends on the values of n, ln(n), and sin(x). Since ln(n) can grow slowly or faster than n, and sin(x) is bounded between -1 and 1, the convergence of the series depends on the behavior of the term n(ln(n))². Further analysis or additional information is needed to determine the convergence of this series.

(b) The series Σ sin(1/n) is convergent. We can use the limit comparison test with the series Σ (1/n), which is a known convergent series. Taking the limit as n approaches infinity of sin(1/n) / (1/n) gives us lim(n→∞) sin(1/n) / (1/n) = 1. Since the limit is finite and positive, and the series Σ (1/n) converges, the series Σ sin(1/n) also converges.

(c) The series Σ (ln(n) • n) / (n+2)³ is convergent. By using the limit comparison test with the series Σ 1 / (n+2)³, which converges, we can analyze the behavior of the term (ln(n) • n) / (n+2)³. Taking the limit as n approaches infinity  [tex][(ln(n) • n) / (n+2)³] / [1 / (n+2)³][/tex]gives us lim(n→∞) [tex][(ln(n) • n) / (n+2)³] / [1 / (n+2)³][/tex]= lim(n→∞) ln(n) • n = ∞.

Since the limit is infinite, the series Σ (ln(n) • n) / (n+2)³ also converges

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We can anticipate that, rounded to the closest whole number, 618 light bulbs will last between 1390 and 1620 hours.

We can calculate the z-scores for each of these values using the following formula to determine the approximate number of light bulbs that will last between 1390 and 1620 hours:

Where x is the supplied value, is the mean, and is the standard deviation, z = (x - ) /.

Z = (1390 - 1500) / 45 = -2.44 for 1390 hours.

Z = (1620 - 1500) / 45 = 2.67 for 1620 hours.

We may calculate the area under the curve between these z-scores using a calculator or a normal distribution table.

The region displays the percentage of lightbulbs that are anticipated to fall inside this range.

Expected number = 0.9886 [tex]\times[/tex] 625 = 617.875.  

The region displays the percentage of lightbulbs that are anticipated to fall inside this range.

The area between -2.44 and 2.67 is approximately 0.9886, according to the table or calculator.

We multiply this fraction by the total number of light bulbs to determine the number of bulbs.  

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To approximate the integral using the trapezium rule with N = 4 subintervals, we'll use the following formula:

I ≈ Δx/2 * [f(x₀) + 2f(x₁) + 2f(x₂) + 2f(x₃) + f(x₄)]

where Δx is the width of each subinterval, and f(xi) represents the function evaluated at each interval.

Let's assume the limits of integration are a and b, and we need to evaluate ∫f(x) dx over that range.

Determine the width of each subinterval:

Δx = (b - a) / N

Calculate the values of f(x) at each interval:

f(x₀) = f(a)

f(x₁) = f(a + Δx)

f(x₂) = f(a + 2Δx)

f(x₃) = f(a + 3Δx)

f(x₄) = f(b)

Plug in the values into the formula:

I ≈ Δx/2 * [f(x₀) + 2f(x₁) + 2f(x₂) + 2f(x₃) + f(x₄)]

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To find the derivative of the function f(x) = 16√(x + 4) using the four-step process,  Answer :  f'(1) = 8/3, f'(2) = 8/(2√2), and f'(4) = 2.

Step 1: Identify the function and apply the power rule

Differentiating a function of the form f(x) = ax^n, where a is a constant, and n is a real number, we apply the power rule to find the derivative:

f'(x) = a * n * x^(n-1)

In this case, a = 16, n = 1/2, and x = x + 4. Applying the power rule, we have:

f'(x) = 16 * (1/2) * (x + 4)^(1/2 - 1)

f'(x) = 8 * (x + 4)^(-1/2)

Step 2: Simplify the expression

To simplify the expression further, we can rewrite the term (x + 4)^(-1/2) as 1/√(x + 4) or 1/(√x + 2).

Therefore, f'(x) = 8/(√x + 2).

Step 3: Evaluate f'(x) at specific x-values

To find f'(1), f'(2), and f'(4), we substitute these values into the derivative function we found in Step 2.

f'(1) = 8/(√1 + 2) = 8/3

f'(2) = 8/(√2 + 2) = 8/(2√2)

f'(4) = 8/(√4 + 2) = 8/4 = 2

Therefore, f'(1) = 8/3, f'(2) = 8/(2√2), and f'(4) = 2.

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Answer:

The derivative of f(t) = 6t + 2 + VB is f'(t) = 6.

- The slope of the function is 6, indicating a constant rate of change.

- The equation of the function remains f(t) = 6t + 2 + VB.

Step-by-step explanation:

To find the derivative of the given function, we need to assume that "VB" represents a constant term, as it does not include any variable dependence. Thus, the function can be rewritten as:

f(t) = 6t + 2 + VB

To find the derivative, we apply the power rule of differentiation, which states that the derivative of a constant multiplied by a variable raised to the power of 1 is equal to the constant itself.

The derivative of the function f(t) = 6t + 2 + VB is:

f'(t) = 6

The derivative of a constant term is always zero since it does not involve any variable dependence. Therefore, the derivative of VB is zero.

Now, let's discuss the slope and equation. The derivative represents the slope of the function at any given point. In this case, the slope is a constant value of 6. This means that the function f(t) = 6t + 2 + VB has a constant slope of 6, indicating that it is a straight line with a constant rate of change.

The equation of the function f(t) = 6t + 2 + VB itself does not change after taking the derivative. It remains f(t) = 6t + 2 + VB.

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To find the level of output at which the total cost per unit is a minimum, we need to minimize the average cost function.

The average cost function is given by AC(x) = (39 + 48x - 30x^2)/x. To minimize the average cost function, we can differentiate it with respect to x and set the derivative equal to zero. Step 1: Differentiate the average cost function: AC'(x) = [(39 + 48x - 30x^2)/x]'. To differentiate this expression, we can use the quotient rule: AC'(x) = [(39 + 48x - 30x^2)'x - (39 + 48x - 30x^2)(x)'] / (x^2). AC'(x) = [(48 - 60x)/x^2]. Step 2: Set the derivative equal to zero and solve for x: Setting AC'(x) = 0, we have: (48 - 60x)/x^2 = 0.

To solve this equation, we can multiply both sides by x^2: 48 - 60x = 0.

Solving for x, we get: 60x = 48. x = 48/60.Simplifying, we have:x = 4/5.Therefore, at the level of output x = 4/5, the total cost per unit will be at a minimum. Please note that this solution assumes that the given average cost function is correct and that there are no other constraints or factors affecting the cost.

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The eigenvalues of [t] are therefore λ1 = λ2 = 1, and the eigenvectors of [t] are the non-zero solutions of the equations[t − I]x = 0and [t − λI]x = 0for λ = 1.

(1/2, -sqrt(3)/2) is an eigenvector of [t] corresponding to λ = 1.

The given linear transformation t : R2 → R2 can be represented by the matrix [t] of its standard matrix, and we can then compute the characteristic polynomial of the matrix in order to find the eigenvalues and eigenvectors of t.

Rotation by π/3 in the counter-clockwise direction is the transformation which takes each vector x = (x1, x2) in R2 to the vector y = (y1, y2) in R2, where y1 = x1cos(π/3) − x2sin(π/3) = (1/2)x1 − (sqrt(3)/2)x2y2 = x1sin(π/3) + x2cos(π/3) = (sqrt(3)/2)x1 + (1/2)x2

Therefore the matrix [t] = is given by [t] =  [1/2 -sqrt(3)/2sqrt(3)/2 1/2]  and the characteristic polynomial of [t] is det([t] - λI), where I is the identity matrix of order 2.

Using the formula for the determinant of a 2 × 2 matrix, we obtain det([t] - λI) = λ2 − tr([t])λ + det([t]) = λ2 − (1 + 1)λ + 1 = λ2 − 2λ + 1 = (λ − 1)2

The eigenvalues of [t] are therefore λ1 = λ2 = 1, and the eigenvectors of [t] are the non-zero solutions of the equations[t − I]x = 0and [t − λI]x = 0for λ = 1.

The first equation gives the system of linear equations x1 - (1/2)x2 = 0 and (sqrt(3)/2)x1 + x2 = 0, which has solutions of the form (x1, x2) = t(1/2, -sqrt(3)/2) for some scalar t ≠ 0.

Therefore, (1/2, -sqrt(3)/2) is an eigenvector of [t] corresponding to λ = 1. This vector is a unit vector, and we can see geometrically that t acts on it by rotating it by an angle of π/3 in the counter-clockwise direction.

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The possible solution(s) to the given differential equation (4a + 2) da/dt = 3 are: D - 1 and 3

To solve the given differential equation (4a + 2) da/dt = 3, we can separate the variables and integrate both sides.

Starting with the given equation:

(4a + 2) da/dt = 3

Dividing both sides by (4a + 2):

da/dt = 3 / (4a + 2)

Now, we can separate variables by multiplying both sides by dt and dividing by 3:

da / (4a + 2) = dt / 3

Integrating both sides, we get:

∫ da / (4a + 2) = ∫ dt / 3

The integral of the left side can be solved using a substitution or by using partial fractions, depending on the complexity of the integrand. After integrating both sides, we obtain the possible solutions for the equation.

1. Solution 1: 4at + 2at = 3t + c, where c is the constant of integration.

2. Solution 2: 2/3a² + 2/3a + c = t, where c is the constant of integration.

3. Solution 3: 2a² + 2a = 3a + 2

Comparing the possible solutions with the given options, option D (1 and 3) is the correct answers.

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the complete question is:

Select the possible solution(s) to the differential equation (4a + 2) da/dt = 3

1- 4at + 2at = 3t-c

2- 2/3a^2 + 2/3a + c = t

3- 2a^2 + 2a = 3a + 2

A- 1

B - 2

C- 1 and 2

D - 1 and 3

The set {x ∈ [a, b] : f(x) = 0} is always compact in ℝ.

In mathematics, a set is said to be compact if it is closed and bounded. To show that the set {x ∈ [a, b] : f(x) = 0} is compact, we need to demonstrate that it satisfies these two properties.

First, let's consider the closure of the set. Since f(x) = 0 for all x ∈ [a, b], the set contains all its limit points. Therefore, it is closed.

Next, let's examine the boundedness of the set. Since x ∈ [a, b], we have a ≤ x ≤ b. This means that the set is bounded from below by a and bounded from above by b.

Since the set is both closed and bounded, it is compact according to the Heine-Borel theorem, which states that in ℝ^n, a set is compact if and only if it is closed and bounded.

In conclusion, the set {x ∈ [a, b] : f(x) = 0} is always compact in ℝ.

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