A private shipping company will accept a box of domestic shipment only if the sum of its length and girth (distance around) does not exceed 90 in. What dimension will give a box with a square end the largest possible volume?

In order to find the vector U4, first, we need to orthonormalize ū, Ū2, U3, and then apply the Gram-Schmidt process. We know that a set of vectors is orthonormal if each vector has length 1 and is perpendicular to the others.So, the vector ū1 is already normalized, we will use it in the Gram-Schmidt process for finding Ū2. The formula for the Gram-Schmidt process is given by;$$v_{k} = u_{k} - \sum_{j=1}^{k-1} \frac{\langle u_k,v_j \rangle}{\langle v_j,v_j\rangle}v_{j} $$We will start by orthonormalizing the vector Ū2 with respect to ū1.

Thus, we have to apply the above formula:$$v_2=u_2 - \frac{\langle u_2,u_1\rangle}{\langle u_1,u_1\rangle}u_1$$$$v_2= \begin{bmatrix} -0.5 \\ -0.5 \\ 0.5 \\ 0.5 \end{bmatrix} -\frac{1}{2}\begin{bmatrix} 0.5 \\ 0.5 \\ 0.5 \\ 0.5 \end{bmatrix}$$$$v_2=\begin{bmatrix} -1 \\ -1 \\ 1 \\ 1 \end{bmatrix} $$Let's normalize this vector:$$||v_2|| = \sqrt{(-1)^2 + (-1)^2 + 1^2 + 1^2 }=\sqrt{4}=2$$$$\Rightarrow \ \hat{v_2} = \frac{1}{2}v_2=\frac{1}{2}\begin{bmatrix} -1 \\ -1 \\ 1 \\ 1 \end{bmatrix}=\begin{bmatrix} -1/2 \\ -1/2 \\ 1/2 \\ 1/2 \end{bmatrix} $$Next, we have to orthonormalize the vector U3 with respect to ū1 and Ū2. Again, we have to apply the Gram-Schmidt process:$$v_3 = u_3 - \frac{\langle u_3,v_1 \rangle}{\langle v_1,v_1\rangle}v_1 - \frac{\langle u_3,v_2 \rangle}{\langle v_2,v_2\rangle}v_2$$$$v_3 = \begin{bmatrix} 0.5 \\ -0.5 \\ 0.5 \\ -0.5 \end{bmatrix} -\frac{1}{2}\begin{bmatrix} 0.5 \\ 0.5 \\ 0.5 \\ 0.5 \end{bmatrix}-\frac{-1}{4}\begin{bmatrix} -1 \\ -1 \\ 1 \\ 1 \end{bmatrix}$$$$v_3 = \begin{bmatrix} 0.5 \\ -0.5 \\ 0.5 \\ -0.5 \end{bmatrix} -\begin{bmatrix} 0.25 \\ 0.25 \\ 0.25 \\ 0.25 \end{bmatrix}+\frac{1}{4}\begin{bmatrix} -1 \\ -1 \\ 1 \\ 1 \end{bmatrix}$$$$v_3 = \begin{bmatrix} 0.25 \\ -0.75 \\ 0.75 \\ -0.25 \end{bmatrix} $$Normalizing, we have:$$||v_3|| = \sqrt{(0.25)^2 + (-0.75)^2 + 0.75^2 + (-0.25)^2 }=\sqrt{1}=1$$$$\Rightarrow \ \hat{v_3} = \begin{bmatrix} 0.25 \\ -0.75 \\ 0.75 \\ -0.25 \end{bmatrix} $$

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the line integral of the given curve C is 23/2.

To evaluate the line integral of the given curve C, we will compute the line integral along each segment of the curve separately and then add the results.

First, we consider the line segment from (0, 0) to (3, 0). Parametrize this segment as follows:

x(t) = t, y(t) = 0, for 0 ≤ t ≤ 3.

The differential path element is given by dx = dt and dy = 0. Substituting these values into the line integral expression, we have:

∫[C1] (xdx + (x - y)dy) = ∫[0,3] (t dt + (t - 0) (0) dy)

                       = ∫[0,3] t dt

                       = [t^2/2] evaluated from 0 to 3

                       = (3^2/2) - (0^2/2)

                       = 9/2.

Next, we consider the line segment from (3, 0) to (4, 2). Parametrize this segment as follows:

x(t) = 3 + t, y(t) = 2t, for 0 ≤ t ≤ 1.

The differential path element is given by dx = dt and dy = 2dt. Substituting these values into the line integral expression, we have:

∫[C2] (xdx + (x - y)dy) = ∫[0,1] ((3 + t) dt + ((3 + t) - 2t) (2dt))

                       = ∫[0,1] (3dt + t dt + (3 + t - 2t) (2dt))

                       = ∫[0,1] (3dt + t dt + (3 + t - 2t) (2dt))

                       = ∫[0,1] (3dt + t dt + (3 + t - 2t) (2dt))

                       = ∫[0,1] (7dt)

                       = [7t] evaluated from 0 to 1

                       = 7.

Finally, we add the results from the two line segments:

∫[C] (xdx + (x - y)dy) = ∫[C1] (xdx + (x - y)dy) + ∫[C2] (xdx + (x - y)dy)

                      = 9/2 + 7

                      = 23/2.

Therefore, the line integral of the given curve C is 23/2.

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If the series is convergent then the sequence converges to the limit of 3.

To determine the convergence of the sequence, we'll analyze the behavior of the terms as n approaches infinity. Let's calculate the limit of the terms: lim(n→∞) 3(1 + (2/n))

The given sequence is defined as: an = 3(1 + (2/n))

We can simplify this limit by distributing the 3:

lim(n→∞) 3 + 3(2/n)

As n approaches infinity, the term 2/n approaches 0. Therefore, we have:

lim(n→∞) 3 + 3(0)

= 3 + 0

= 3

The limit of the terms as n approaches infinity is 3. Since the limit exists and is finite, the sequence is convergent.

Hence, the sequence converges to the limit of 3.

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A coordinate grid with one line that passes through the points 0,1 and 4,0 and another line that passes through the points 0,-1 and 1,-3.

The system of linear equations given is:

y = (-1/3)x + 1

y = -2x - 3

We can determine the solution to this system by finding the point of intersection of the two lines represented by these equations.

By comparing the coefficients of x and y in the equations, we can see that the slopes of the lines are different.

The slope of the first line is -1/3, and the slope of the second line is -2. Since the slopes are different, the lines will intersect at a single point.

To find the point of intersection, we can set the two equations equal to each other:

(-1/3)x + 1 = -2x - 3

By solving this equation, we find that x = 3.

Substituting this value back into either equation, we can find the corresponding y-value.

Using the first equation, when x = 3, y = (-1/3)(3) + 1 = 0.

Therefore, the point of intersection is (3,0), which lies on both lines.

The graph that shows the solution to the system of linear equations is the one with a coordinate grid where one line passes through the points (0,1) and (4,0), and another line passes through the points (0,-1) and (1,-3). This graph represents the intersection point (3,0) of the two lines, which is the solution to the system of equations.

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The approximate value of the integral ∫[e³] e² dz, using the 4th degree Taylor polynomial for f(x) = e² and evaluating it at z², is approximately 61.914183.

1. Finding the 4th degree Taylor polynomial for f(x) = e² centered at c = 0:

T₁(x) = f(0) + f'(0)x + (f''(0)x²)/2! + (f'''(0)x³)/3! + (f⁴(0)x⁴)/4!

Since f(x) = e², all derivatives of f(x) are also equal to e²:

f(0) = e², f'(0) = e², f''(0) = e², f'''(0) = e², f⁴(0) = e²

Therefore, the 4th degree Taylor polynomial T₁(x) for f(x) = e² is:

T₁(x) = e² + e²x + (e²x²)/2! + (e²x³)/3! + (e²x⁴)/4!

2. Approximating T₁(2²):

T₁(2²) = e² + e²(2²) + (e²(2²)²)/2! + (e²(2²)³)/3! + (e²(2²)⁴)/4!

Simplifying this expression gives us:

T₁(2²) = e² + e²(4) + (e²(16))/2 + (e²(64))/6 + (e²(256))/24

3. Approximating the integral ∫[e³] e² dz as ∫[e²¹] T₁(2²) dr:

∫[e²¹] T₁(2²) dr ≈ ∫[e²¹] e²¹ dr

4. Evaluating the integral:

∫[e²¹] e²¹ dr = e²¹r ∣[e²¹]

= e²¹(e²¹) - e²¹(0)

= e²¹(e²¹)

= e²²

Rounding this result to at least 6 decimal places gives approximately 61.914183.

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For the series given in problem 19, Σ=[tex](-1)^n[/tex] * [tex](1/(6n(2x-1)^n))[/tex], the radius of convergence is 1/2, and the interval of convergence is (-1/2, 3/2).

For the series given in problem 20,

∑{^∞}_{n=0}  [tex]=((x + 4)^n / ((n + 1) * 1 * 2 * 5 * (2n - 1)))[/tex],

the radius of convergence is infinity, and the interval of convergence is the entire real number line, (-∞, ∞).

To find the radius of convergence and the interval of convergence for a power series, we can use the ratio test. In problem 19, we have the series Σ=[tex](-1)^n * (1/(6n(2x-1)^n))[/tex].

Applying the ratio test, we take the limit of the absolute value of the ratio of consecutive terms:

lim(n→∞) |[tex]\frac{(-1)^{n+1} * (1/(6(n+1)(2x-1)^{n+1})) }{ (-1)^n * (1/(6n(2x-1)^n))}[/tex]|

Simplifying, we get:

lim(n→∞)[tex]|(-1) * (2x - 1) * n / (n + 1)|[/tex]

Taking the absolute value, we have |2x - 1|. For the series to converge, this ratio should be less than 1. Solving |2x - 1| < 1, we find the interval of convergence to be (-1/2, 3/2). The radius of convergence is the distance from the center of the interval, which is 1/2.

In problem 20, we have the series

Σ{^∞}_{n=0} = [tex]-((x + 4)^n / ((n + 1) * 1 * 2 * 5 * (2n - 1)))[/tex].

Applying the ratio test, we find that the limit is 0, indicating that the series converges for all values of x. Therefore, the radius of convergence is infinity, and the interval of convergence is the entire real number line,

(-∞, ∞).

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To find the derivative of the function `f(x) = (4x^4 – 5)^3`,

we can use the chain rule and the power rule of differentiation. Here's the solution:We have: `y = u^3` where `u = 4x^4 - 5`Using the chain rule, we have: `dy/dx = (dy/du) * (du/dx)`Using the power rule of differentiation, we have: `dy/du = 3u^2` and `du/dx = 16x^3`So, `dy/dx = (dy/du) * (du/dx) = 3u^2 * 16x^3 = 48x^3 * (4x^4 - 5)^2`Therefore, `f'(x) = 48x^3 * (4x^4 - 5)^2`.Hence, the answer is `f'(x) = 48x^3 * (4x^4 - 5)^2`.

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The frequency of the given function, y = 5sin(5x), can be calculated using the formula: frequency = 2π/period. In this case, the period is 2π/5, so the frequency is 5/2π or approximately 0.7958.

The given function, y = 5sin(5x), has a frequency of 5/2π or approximately 0.7958. This is determined by using the formula frequency = 2π/period, where the period is calculated as 2π/5. Regarding the statement f'(0) = 0, it refers to the derivative of a function f(x) evaluated at x = 0. The statement suggests that the derivative of the function at x = 0 is equal to zero.

One example of a function that satisfies this condition is f(x) = cos(x). The derivative of cos(x) is -sin(x), and when evaluated at x = 0, we have f'(0) = -sin(0) = 0. Therefore, f(x) = cos(x) is a function that meets the requirement of having a derivative of zero at x = 0.

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The general solution of the differential equation y" - 4y' + 3y = 3x - 1 is y = C1 * e^x + C2 * e^(3x) + x + 1, where C1 and C2 are arbitrary constants.

To find the general solution of the given differential equation y" - 4y' + 3y = 3x - 1, we first need to find the complementary solution (Yc) and the particular solution (Yp).

We solve the associated homogeneous equation y" - 4y' + 3y = 0.

The characteristic equation is obtained by assuming the solution is of the form y = e^(rx):

r^2 - 4r + 3 = 0

Factoring the quadratic equation:

(r - 1)(r - 3) = 0

Solving for the roots:

r1 = 1, r2 = 3

The complementary solution is given by:

Yc = C1 * e^(r1x) + C2 * e^(r2x)

Yc = C1 * e^x + C2 * e^(3x)

To find the particular solution, we assume a particular form of y in the form Yp = Ax + B (since the right-hand side is a linear function).

Taking the derivatives:

Yp' = A

Yp" = 0

Substituting into the original differential equation:

0 - 4(A) + 3(Ax + B) = 3x - 1

Simplifying:

3Ax + 3B - 4A = 3x - 1

Comparing coefficients, we have:

3A = 3 => A = 1

3B - 4A = -1 => 3B - 4 = -1 => 3B = 3 => B = 1

The particular solution is given by:

Yp = x + 1

The general solution is the sum of the complementary and particular solutions:

y = Yc + Yp

y = C1 * e^x + C2 * e^(3x) + x + 1

Therefore, the general solution of the differential equation y" - 4y' + 3y = 3x - 1 is y = C1 * e^x + C2 * e^(3x) + x + 1, where C1 and C2 are arbitrary constants.

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To sketch the graph of y = f(x + 3), we shift the graph of y = f(x) horizontally by 3 units to the left.

To sketch the graph of y = f(x + 3), we take the graph of y = f(x) and shift it horizontally by 3 units to the left. This means that each point on the original graph will be moved 3 units to the left on the new graph.

To label the points on the new graph that correspond to the five labeled points on the original graph, we apply the horizontal shift. For example, if a labeled point on the original graph has coordinates (x, y), then the corresponding point on the new graph will have coordinates (x - 3, y).

By applying this shift to each of the five labeled points on the original graph, we can label the corresponding points on the new graph. This will give us the graph of y = f(x + 3) with the labeled points properly placed according to the horizontal shift.

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Among the given options, the statement (b) ∀x∃y x^2 + y^2 < 12 is true for the set U = {1, 2, 3}.

In statement (a) ∃x∀y x^2 < y + 1, the quantifier ∃x (∃ stands for "there exists") implies that there exists at least one value of x for which the inequality holds true for all values of y. However, this is not the case since there is no single value of x that satisfies the inequality for all values of y in set U.

In statement (c) ∀x∀y x^2 + y^2 < 12, the quantifier ∀x (∀ stands for "for all") implies that the inequality holds true for all values of x and y. However, this is not true for the set U = {1, 2, 3} since there exist values of x and y in U that make the inequality false (e.g., x = 3, y = 3). Therefore, the correct statement for the set U = {1, 2, 3} is (b) ∀x∃y x^2 + y^2 < 12, which means for every value of x in U, there exists a value of y that satisfies the inequality x^2 + y^2 < 12.

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To determine the intervals of continuity for the function f(x) = ln(ln(√√x³-1)), we need to consider the domain of the function and any potential points of discontinuity.

The given function involves natural logarithms, which are defined only for positive real numbers. Therefore, the argument of the outer logarithm, ln(√√x³-1), must be positive for the function to be well-defined.

The argument of the outer logarithm, √√x³-1, must also be positive, which means x³-1 must be positive. Solving this inequality, we find x > 1. Additionally, the argument of the inner logarithm, √√x³-1, must be positive, which implies √x³-1 > 0. Solving this inequality, we get x > 1.

Therefore, the function f(x) = ln(ln(√√x³-1)) is defined and continuous for all x > 1. In interval notation, the intervals of continuity for the function are (1, ∞). This is because x = 1 is the only potential point of discontinuity due to the domain restrictions of the logarithmic functions.

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The scalar projection of vector b onto vector a is -2.3077, and the vector projection of b onto a is (-18.4615, 34.6154).

To find the scalar projection of b onto a, we use the formula:

Scalar Projection = (b · a) / ||a|| where · represents the dot product and ||a|| represents the magnitude of vector a. The dot product of a and b is (-8 * 3) + (15 * 5) = -24 + 75 = 51, and the magnitude of a is √((-8)^2 + 15^2) = √(64 + 225) = √289 = 17. Therefore, the scalar projection is (51 / 17) = -2.3077.To find the vector projection of b onto a, we use the formula:

Vector Projection = Scalar Projection * (a / ||a||)

where a / ||a|| represents the unit vector in the direction of a. Dividing vector a by its magnitude, we get a unit vector in the direction of a as (-8 / 17, 15 / 17). Multiplying the scalar projection by the unit vector, we get the vector projection as (-2.3077 * (-8 / 17), -2.3077 * (15 / 17)) = (-18.4615, 34.6154).Therefore, the scalar projection of b onto a is -2.3077, and the vector projection of b onto a is (-18.4615, 34.6154).

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The integral expressions given are evaluated using two methods. In the first method, direct integration is performed, and in the second method, the expressions are decomposed into separate fractions before integration.

a) To evaluate the integral [tex]\(\int \frac{-4}{(x-1)(x^2+27x+51)} \, dx\)[/tex], we can decompose the fraction into partial fractions as [tex]\(\frac{-4}{(x-1)(x^2+27x+51)} = \frac{A}{x-1} + \frac{Bx+C}{x^2+27x+51}\)[/tex]. By equating the numerators, we find that [tex]\(A = -\frac{2}{3}\), \(B = \frac{7}{3}\), and \(C = -\frac{1}{3}\)[/tex]. Integrating each term separately, we obtain [tex]\(\int \frac{-4}{(x-1)(x^2+27x+51)} \, dx = -\frac{2}{3} \ln|x-1| + \frac{7}{3} \int \frac{x}{x^2+27x+51} \, dx - \frac{1}{3} \int \frac{1}{x^2+27x+51} \, dx\)[/tex].

b) For the integral [tex]\(\int \frac{2x+2}{(x+1)(x^2+5x+3)} \, dx\)[/tex], we first factorize the denominator as [tex]\((x+1)(x^2+5x+3) = (x+1)(x+3)(x+1)\)[/tex]. Decomposing the fraction, we have [tex]\(\frac{2x+2}{(x+1)(x^2+5x+3)} = \frac{A}{x+1} + \frac{B}{x+3} + \frac{C}{(x+1)^2}\)[/tex]. By equating the numerators, we find that[tex]\(A = \frac{4}{3}\), \(B = -\frac{2}{3}\), and \(C = \frac{2}{3}\)[/tex]. Integrating each term, we obtain [tex](\int \frac{2x+2}{(x+1)(x^2+5x+3)} \, dx = \frac{4}{3} \ln|x+1| - \frac{2}{3} \ln|x+3| + \frac{2}{3} \int \frac{1}{(x+1)^2} \, dx\)[/tex].

The final forms of the integrals can be simplified or expressed in terms of logarithmic functions or other appropriate mathematical functions if required.

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The integral that represents the area of the surface obtained by rotating the given curve about the y-axis is: ∫[0, π/2] 2πy √(1 + (dy/dt)²) dt

To find the area of the surface, we can use the formula for the surface area of revolution, which involves integrating the circumference of each infinitesimally small circle formed by rotating the curve around the y-axis.

The parametric equations x = t cos(t) and y = t sin(t) describe the curve. To calculate the surface area, we need to find the differential arc length element ds:

ds = √(dx² + dy²)

= √((dx/dt)² + (dy/dt)²) dt

= √((-t sin(t) + cos(t))² + (t cos(t) + sin(t))²) dt

= √(1 + t²) dt

To find the integral representing the area of the surface obtained by rotating the given curve about the y-axis, we use the parametric equations x = t cos(t) and y = t sin(t), with the range 0 ≤ t ≤ π/2.

The integral is given by:

∫[0, π/2] 2πy √(1 + (dy/dt)²) dt

Substituting y = t sin(t) and dy/dt = sin(t) + t cos(t), we have:

∫[0, π/2] 2π(t sin(t)) √(1 + (sin(t) + t cos(t))²) dt

Expanding the square root:

∫[0, π/2] 2π(t sin(t)) √(1 + sin²(t) + 2t sin(t) cos(t) + t² cos²(t)) dt

Simplifying the expression inside the square root:

∫[0, π/2] 2π(t sin(t)) √(1 + sin²(t) + t²(cos²(t) + 2 sin(t) cos(t))) dt

Using the trigonometric identity sin²(t) + cos²(t) = 1, we have:

∫[0, π/2] 2π(t sin(t)) √(2 + t²) dt

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The velocity and acceleration vectors are perpendicular at t = 1.57 seconds and t = 4.71 seconds.

To find the times from 1 to 4 seconds when the velocity and acceleration vectors are perpendicular, we need to determine when the dot product of the velocity and acceleration vectors is equal to zero.

Given the curve r(t) = i + (5 cos(t))j + (3 sin(t))k, we can find the velocity and acceleration vectors by differentiating with respect to time.

Velocity vector:

v(t) = dr(t)/dt = -5 sin(t)i + (-5 cos(t))j + 3 cos(t)k

Acceleration vector:

a(t) = dv(t)/dt = -5 cos(t)i + 5 sin(t)j - 3 sin(t)k

Now, we calculate the dot product of the velocity and acceleration vectors:

v(t) · a(t) = (-5 sin(t)i + (-5 cos(t))j + 3 cos(t)k) · (-5 cos(t)i + 5 sin(t)j - 3 sin(t)k)

= 25 sin(t) cos(t) + 25 sin(t) cos(t) + 9 sin(t) cos(t)

= 50 sin(t) cos(t) + 9 sin(t) cos(t)

= 59 sin(t) cos(t)

For the dot product to be zero, we have:

59 sin(t) cos(t) = 0

This equation is satisfied when sin(t) = 0 or cos(t) = 0.

When sin(t) = 0, we have t = 0, π, 2π, 3π, and so on.

When cos(t) = 0, we have t = π/2, 3π/2, 5π/2, and so on.

However, we are only interested in the times from 1 to 4 seconds. Therefore, the valid times when the velocity and acceleration vectors are perpendicular are:

t = π/2, 3π/2 (corresponding to 1.57 seconds and 4.71 seconds, respectively)

In summary, the velocity and acceleration vectors are perpendicular at t = 1.57 seconds and t = 4.71 seconds.

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Out of the 350 duck hatchlings weighed, 76 were slightly underweight and 5 were severely underweight. To determine the probabilities, we divide the number of hatchlings in each category by the total number of hatchlings.

(1) To find the probability of a single duck hatchling being slightly underweight, we divide the number of slightly underweight hatchlings (76) by the total number of hatchlings (350). Therefore, the probability is 76/350, which simplifies to 0.217 or approximately 21.7%.

(2) For the probability of a single duck hatchling being severely underweight, we divide the number of severely underweight hatchlings (5) by the total number of hatchlings (350). Hence, the probability is 5/350, which simplifies to 0.014 or approximately 1.4%.

(3) To determine the probability of a single duck hatchling being normal, we subtract the number of slightly underweight (76) and severely underweight (5) hatchlings from the total number of hatchlings (350). The remaining hatchlings are normal, so the probability is (350 - 76 - 5) / 350, which simplifies to 0.715 or approximately 71.5%.

In conclusion, the probability of a single duck hatchling being slightly underweight is approximately 21.7%, the probability of being severely underweight is approximately 1.4%, and the probability of being normal is approximately 71.5%.

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a) Substitute $x=3$ and then evaluate it as a finite sum. b) We find that$$B = \frac{1}{2}\cdot\left(-\frac{1}{\frac{1+i\√{3}}{2}}-\frac{1}{\frac{1-i\√{3}}{2}}\right) = \frac{2}{3}.$$

(a) $A₃ = 3+\frac{(-1)³}{3!}+\frac{2³}{5!}

= \frac{37}{15}$, where $c=0$.

Here, we recognize the Taylor series of $\sin x$ at $x

=3$ as$$\sin x

= \sum_{n=0}^\infty\[tex]frac\frac{{(-1)^n}}{2n+1)!}x^{2n+1}}[/tex]

(b) $B=\sum_{n=1}^\infty\frac{1}{n²+n+1}$.

Here, we recognize the partial fractions$$\frac{1}{n²+n+1}

= \frac{1}{2}\cdot\frac{1}{n+\frac{1+i\√{3}}{2}} + \frac{1}{2}\cdot\frac{1}{n+\frac{1-i\√{3}}{2}}$$

of the summand, and then we recognize that$$\sum_{n=1}^\infty\frac{1}{n-z}

= -\frac{1}{z}$$for any complex number $z$ with positive real part.

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The values of sin (2x), cos (2x) and tan (2x) in quadrant ii are:

Given that sin(x) = 15/17 and x terminates in quadrant II, we can use the trigonometric identities to find sin(2x), cos(2x), and tan(2x).

We know that sin(2x) = 2sin(x)cos(x), cos(2x) = cos^2(x) - sin^2(x), and tan(2x) = sin(2x)/cos(2x).

First, let's find cos(x). Since sin(x) = 15/17 and x terminates in quadrant II, we can use the Pythagorean identity sin^2(x) + cos^2(x) = 1 to solve for cos(x):

cos^2(x) = 1 - sin^2(x)

cos^2(x) = 1 - (15/17)^2

cos^2(x) = 1 - 225/289

cos^2(x) = 64/289

cos(x) = ± √(64/289)

cos(x) = ± (8/17)

Since x terminates in quadrant II, cos(x) is negative. Therefore, cos(x) = -8/17.

Now we can calculate sin(2x), cos(2x), and tan(2x):

sin(2x) = 2sin(x)cos(x)

sin(2x) = 2 * (15/17) * (-8/17)

sin(2x) = -240/289

cos(2x) = cos^2(x) - sin^2(x)

cos(2x) = (-8/17)^2 - (15/17)^2

cos(2x) = 64/289 - 225/289

cos(2x) = -161/289

tan(2x) = sin(2x)/cos(2x)

tan(2x) = (-240/289) / (-161/289)

tan(2x) = 240/161

tan(2x) = 240/161

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To answer the question, we need more information about the sample. Assuming that the sample consists of people who are interested in health and fitness, we can make some assumptions.

If a random person from the sample does not exercise, there is a higher probability that they do not follow a healthy diet as well. However, this is not a guarantee as there may be other reasons for not exercising such as health issues or lack of time. Without knowing the specifics of the sample, we cannot accurately determine the probability that the person does not diet. However, we can say that the likelihood of the person not following a healthy diet is higher if they do not exercise. In summary, the probability that a random person from the sample does not diet given that they do not exercise cannot be determined without further information about the sample.

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in a parcel described as the SW ¼ of the NE ¼ of the SE ¼ the correct answer is option D 10.

To determine the number of acres in a parcel described as the SW ¼ of the NE ¼ of the SE ¼, we need to multiply the acreage of each quarter section.

Starting with the SE ¼, we know that a quarter section (1/4) consists of 160 acres. Therefore, the SE ¼ is 160 acres.

Moving to the NE ¼ of the SE ¼, we need to calculate 1/4 of the 160 acres. 1/4 of 160 acres is (1/4) * 160 = 40 acres.

Finally, we consider the SW ¼ of the NE ¼ of the SE ¼. Again, we need to calculate 1/4 of the 40 acres. 1/4 of 40 acres is (1/4) * 40 = 10 acres.

Therefore, the parcel described as the SW ¼ of the NE ¼ of the SE ¼ consists of 10 acres.

Hence, the correct answer is option D) 10.

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The outward flux of F across the boundary of region D is [tex]\frac{64}{3}\pi[/tex].

To find the outward flux of the vector field F = 7y + xy - 22k across the boundary of the region D, we can use the Divergence Theorem.

The Divergence Theorem states that the flux of a vector field across a closed surface is equal to the triple integral of the divergence of the vector field over the volume enclosed by the surface. Mathematically, it can be expressed as:

[tex]\iint_S \mathbf{F} \cdot d\mathbf{S} = \iiint_V \nabla \cdot \mathbf{F} \, dV[/tex]

In this case, the region D is the solid cylinder defined by the plane z = 0 and the paraboloid 4x + y. To use the Divergence Theorem, we need to calculate the divergence of F, which is given by:

[tex]\nabla \cdot \mathbf{F} = \frac{\partial}{\partial x}(7y + xy - 22) + \frac{\partial}{\partial y}(7y + xy - 22) + \frac{\partial}{\partial z}(0) = x[/tex]

Now, we can evaluate the flux by integrating the divergence over the volume enclosed by the surface. Since the region D is a solid cylinder, we can use cylindrical coordinates [tex](r, \theta, z)[/tex] for integration.

The limits of integration are:

r: 0 to 2 (the radius of the cylinder)

[tex]\theta: 0 to 2\p[/tex]i (full revolution around the z-axis)

z: 0 to 4x + y (the height of the paraboloid)

Therefore, the outward flux of F across the boundary of region D is given by:

[tex]\iint_S \mathbf{F} \cdot d\mathbf{S} = \iiint_V \nabla \cdot \mathbf{F} \, dV= \int_0^{2\pi} \int_0^2 \int_0^{4x + y} x \, dz \, dr \, d\theta[/tex]

Integrating with respect to z gives:

[tex]\int_0^{2\pi} \int_0^2 \left[x(4x + y)\right]_0^{4x + y} \, dr \, d\theta[/tex]

[tex]= \int_0^{2\pi} \int_0^2 (4x^2 + xy) \, dr \, d\theta[/tex]

[tex]= \int_0^{2\pi} \left[\frac{4}{3}x^3y + \frac{1}{2}xy^2\right]_0^2 \, d\theta[/tex]

[tex]= \int_0^{2\pi} \left(\frac{32}{3}y + 2y^2\right) \, d\theta[/tex]

[tex]= \left[\frac{32}{3}y + 2y^2\right]_0^{2\pi}[/tex]

[tex]= \frac{64}{3}\pi[/tex]

Therefore, the outward flux of F across the boundary of region D is [tex]\frac{64}{3}\pi[/tex].

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To evaluate the line integral ∮C xy dx + x²y³ dy, where C is the positively oriented triangle with vertices (0,0), (1,0), and (1,2), we can use Green's Theorem.

Green's Theorem states that for a simply connected region in the plane bounded by a positively oriented, piecewise-smooth, closed curve C, the line integral of a vector field F along C can be expressed as the double integral of the curl of F over the region enclosed by C.

In this case, we have the vector field F = (xy, x²y³). To apply Green's Theorem, we need to calculate the curl of F, which is given by the partial derivative of the second component of F with respect to x minus the partial derivative of the first component of F with respect to y. Taking the partial derivatives, we find that the curl of F is 2x²y² - y. Now, we evaluate the double integral of the curl of F over the region enclosed by the triangle C.

By setting up the integral and integrating with respect to x and y within the region, we can determine the numerical value of the line integral using Green's Theorem. This method allows us to relate a line integral to a double integral, simplifying the calculation process.

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The function  [tex]f(x) = x^2 + 7x - 9[/tex] has a relative minimum at [tex](x, y) = (-7/2, -25.25)[/tex].

The function [tex]f(x) = x^2 + 7x - 9[/tex] is a quadratic function, and we can find its relative extrema by examining its first and second derivatives. To find the critical points, we set the first derivative equal to zero and solve for x.

Taking the derivative of f(x) with respect to x, we get [tex]f'(x) = 2x + 7[/tex]. Setting [tex]f'(x) = 0[/tex], we have [tex]2x + 7 = 0[/tex], which gives [tex]x = -7/2[/tex] as the critical point.

To determine the nature of the critical point, we can use the second derivative test. Taking the second derivative of f(x), we get [tex]f''(x) = 2[/tex]. Since the second derivative is a constant (positive in this case), the second derivative test is inconclusive.

However, we can still determine the nature of the critical point by observing the concavity of the graph. Since the second derivative is positive, the graph of f(x) is concave up, indicating that the critical point [tex]x = -7/2[/tex] corresponds to a relative minimum.

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Answer: To find the difference between the expressions 4/x^2 + 5 and 1/x^2 - 25, we need to subtract the second expression from the first.

Given:

Expression 1: 4/x^2 + 5

Expression 2: 1/x^2 - 25

To subtract these expressions, we need a common denominator. The common denominator in this case is x^2(x^2 - 25), which is the least common multiple of the denominators.

Now, let's perform the subtraction:

(4/x^2 + 5) - (1/x^2 - 25)

To subtract the fractions, we need to have the same denominator for both terms:

[(4(x^2 - 25))/(x^2(x^2 - 25))] + [(5x^2)/(x^2(x^2 - 25))] - [(1(x^2))/(x^2(x^2 - 25))] + [(25(x^2))/(x^2(x^2 - 25))]

Combining the terms over the common denominator:

[(4x^2 - 100 + 5x^2 - x^2 + 25x^2)] / (x^2(x^2 - 25))

Simplifying the numerator:

(4x^2 + 5x^2 - x^2 + 25x^2 - 100) / (x^2(x^2 - 25))

(34x^2 - 100) / (x^2(x^2 - 25))

Therefore, the difference between the expressions 4/x^2 + 5 and 1/x^2 - 25 is (34x^2 - 100) / (x^2(x^2 - 25)).

The point c that satisfies the conclusion of the Mean Value Theorem for the function f(x) = x - 3 on the interval [1, 3] is c = 2.

The Mean Value Theorem states that if a function f(x) is continuous on the closed interval [a, b] and differentiable on the open interval (a, b), then there exists at least one point c in (a, b) such that the derivative of the function at c is equal to the average rate of change of the function over the interval [a, b].

In this case, the function f(x) = x - 3 is continuous and differentiable on the interval [1, 3].

The average rate of change of f(x) over [1, 3] is (f(3) - f(1))/(3 - 1) = (3 - 3)/(3 - 1) = 0/2 = 0.

To find the point c that satisfies the conclusion of the Mean Value Theorem, we need to find a value of c in the open interval (1, 3) such that the derivative of f(x) at c is equal to 0.

The derivative of f(x) = x - 3 is f'(x) = 1.

Setting f'(x) = 1 equal to 0, we have 1 = 0, which is not possible.

Therefore, there is no point c in the open interval (1, 3) that satisfies the conclusion of the Mean Value Theorem for the function f(x) = x - 3.

Thus, in this case, there is no specific point within the interval [1, 3] that satisfies the conclusion of the Mean Value Theorem.

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The better substitution for evaluating the integral of 4 cos x sin x dx is u = 4 cos x (option B). This substitution simplifies the integral and makes the integration process easier.

To evaluate the integral of 4 cos x sin x dx, we can consider the given substitutions and determine which one leads to simpler integration.

Let's evaluate each of the given substitutions and see how they affect the integral.

(A) u = ecos x

Taking the derivative, we have du = -sin x dx. This substitution does not simplify the integral since we still have sin x in the integrand.

(B) u = 4 cos x

Taking the derivative, we have du = -4 sin x dx. This substitution simplifies the integral as it eliminates the sin x term.

(C) u = sin x

Taking the derivative, we have du = cos x dx. This substitution also simplifies the integral as it eliminates the cos x term.

Comparing the substitutions, both (B) and (C) simplify the integral by eliminating one of the trigonometric functions. However, (B) u = 4 cos x leads to a more direct simplification since it eliminates the sin x term directly.

Therefore, the better substitution for evaluating the integral of 4 cos x sin x dx is u = 4 cos x (option B). This substitution simplifies the integral and makes the integration process easier.

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Based on the given information, the solid figure described is a pyramid.

We have,

A pyramid is a three-dimensional geometric shape that has a polygonal base and triangular faces that converge to a single point called the apex.

In the case described, the pyramid has four triangular faces, indicating that its base is a triangle.

Since a triangle has three sides, and there are four triangular faces, the pyramid has a total of 8 edges.

The triangular faces of the pyramid meet at the apex, forming a point at the top.

The base of the pyramid is a polygon, and in this case, it is a triangle.

The remaining three faces are also triangles that connect each of the edges of the base to the apex.

Therefore,

Based on the given information, the solid figure described is a pyramid.

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4. True. When finding the derivative of a fraction, you have to use the Quotient Rule.

5. False. The derivative of f(x) = √x does not have the same domain as f(x).

4. True. When finding the derivative of a fraction, such as (f(x)/g(x)), where f(x) and g(x) are functions, you need to use the Quotient Rule. The Quotient Rule states that the derivative of a fraction is equal to (g(x) times the derivative of f(x) minus f(x) times the derivative of g(x)) divided by (g(x))^2. This rule helps handle the differentiation of the numerator and denominator separately and then combines them using appropriate operations.

5. False. The derivative of f(x) = √x is given by f'(x) = (1/2√x). The domain of f(x) is all non-negative real numbers since taking the square root of a negative number is undefined in the real number system. However, the derivative f'(x) has a restricted domain, excluding x = 0. This is because the derivative involves division by √x, which would result in division by zero at x = 0. Therefore, the domain of f'(x) is the set of positive real numbers, excluding 0.

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There are 200 integers less than 500 that are relatively prime to 500.

In order to determine the number of integers less than 500 that are relatively prime to 500, we need to find the count of positive integers less than 500 that do not share any common factors with 500 except for 1.

To find this count, we can use Euler's totient function (φ-function), which calculates the number of positive integers less than a given number n that are relatively prime to n. For any number n that can be expressed as a product of distinct prime factors, the φ-function can be calculated using the formula φ(n) = n × (1 - 1/p1) × (1 - 1/p2) ×... × (1 - 1/pk), where p1, p2, ..., pk are the prime factors of n.

In the case of 500, its prime factorization is 4 × 125 Using the φ-function formula, we can calculate φ(500) = 500 × (1 - 1/2) × (1 - 1/5) = 500 × 1/2 × 4/5 = 200.

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