lucy walks 2 34 kilometers in 56 of an hour. walking at the same rate, what distance can she cover in 3 13 hours?

The required coordinates of the centroid are obtained in terms of the given limits.

Given a curve `y = 4 - 3x + x³` and a set of limits for x-axis, we need to find the centroid of the area bounded by the curve, x-axis, maximum and minimum ordinates. The formula to find the centroid of a curve is given by `(∫ydx/∫dx)`.Here, we can solve the integral `∫ydx` to find the area enclosed by the curve between given limits and `∫dx` to find the length of the curve between given limits.Area enclosed by curve between given limits`A = ∫(4 - 3x + x³)dx`

Integrating each term separately, we get:`A = [4x - 3/2 * x² + 1/4 * x⁴]_xmin^xmax`

Substituting the limits, we get:`A = [4xmax - 3/2 * xmax² + 1/4 * xmax⁴] - [4xmin - 3/2 * xmin² + 1/4 * xmin⁴]`Length of curve between given limits`L = ∫(1 + (dy/dx)²)dx`

Differentiating the curve with respect to x, we get:`dy/dx = -3 + 3x²`Squaring it and adding 1, we get:`1 + (dy/dx)² = 10 - 6x + 10x² + 9x⁴

`Integrating, we get:`L = ∫(10 - 6x + 10x² + 9x⁴)dx

`Integrating each term separately, we get:`L = [10x - 3x² + 2x³ + 9/5 * x⁵]_xmin^xmax`

Substituting the limits, we get:`L = [10xmax - 3xmax² + 2xmax³ + 9/5 * xmax⁵] - [10xmin - 3xmin² + 2xmin³ + 9/5 * xmin⁵]`Now, we can find the coordinates of the centroid by applying the formula `

(∫ydx/∫dx)`. Thus, the coordinates of the centroid are:`(x_bar, y_bar) = (∫ydx/∫dx)`

Substituting the respective values, we get:`(x_bar, y_bar) = [(3/4 * xmax² - 2 * xmax³ + 1/5 * xmax⁵) - (3/4 * xmin² - 2 * xmin³ + 1/5 * xmin⁵)] / [(10xmax - 3xmax² + 2xmax³ + 9/5 * xmax⁵) - (10xmin - 3xmin² + 2xmin³ + 9/5 * xmin⁵)]`

Thus, the required coordinates of the centroid are obtained in terms of the given limits.

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The time it will take for an amount A to disintegrate until only one percent of A remains is approximately 33.22 days.

To solve this problem, we'll use the half-life formula:

Final amount = Initial amount * (1/2)^(time elapsed / half-life)

In this case, only 1% of the initial amount A remains, so the final amount is 0.01A. The half-life is 5 days. We can plug these values into the formula and solve for the time elapsed:

0.01A = A * (1/2)^(time elapsed / 5 days)

0.01 = (1/2)^(time elapsed / 5 days)

Now, we'll take the logarithm base 2 of both sides:

log2(0.01) = log2((1/2)^(time elapsed / 5 days))

-6.6439 = (time elapsed / 5 days)

Next, we'll multiply both sides by 5 to solve for the time elapsed:

-6.6439 * 5 = time elapsed

-33.2195 ≈ time elapsed

It will take approximately 33.22 days for the radioactive substance to disintegrate until only 1% of the initial amount A remains.

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A) The general solution of the associated homogeneous differential equation y" - 6y' + 8y = 0 can be found by solving its characteristic equation.

B) The variation of parameters method can be used to find the general solution of the nonhomogeneous differential equation y" - 6y' + 8y = -e^31.

A) To find the general solution of the associated homogeneous differential equation y" - 6y' + 8y = 0, we consider the corresponding characteristic equation. The characteristic equation is obtained by substituting y = e^(rx) into the homogeneous differential equation, which gives r^2 - 6r + 8 = 0. Solving this quadratic equation, we find the roots r1 = 2 and r2 = 4. Therefore, the general solution of the associated homogeneous equation is y_h = C1e^(2x) + C2e^(4x), where C1 and C2 are constants.

B) To use the variation of parameters method to find the general solution of the nonhomogeneous differential equation y" - 6y' + 8y = -e^31, we first need to find the particular solution by assuming it has the form y_p = u1(x)e^(2x) + u2(x)e^(4x), where u1(x) and u2(x) are unknown functions to be determined. We differentiate y_p to find its first and second derivatives: y'_p = u1'(x)e^(2x) + u2'(x)e^(4x) + 2u1(x)e^(2x) + 4u2(x)e^(4x), and y"_p = u1''(x)e^(2x) + u2''(x)e^(4x) + 4u1'(x)e^(2x) + 16u2'(x)e^(4x) + 4u1(x)e^(2x) + 16u2(x)e^(4x).

Substituting y_p, y'_p, and y"_p into the nonhomogeneous differential equation, we obtain the following equations:

u1''(x)e^(2x) + u2''(x)e^(4x) + 4u1'(x)e^(2x) + 16u2'(x)e^(4x) + 4u1(x)e^(2x) + 16u2(x)e^(4x) - 6(u1'(x)e^(2x) + u2'(x)e^(4x) + 2u1(x)e^(2x) + 4u2(x)e^(4x)) + 8(u1(x)e^(2x) + u2(x)e^(4x)) = -e^(3x).

Simplifying the equation and matching coefficients of like terms, we can solve for u1'(x) and u2'(x) in terms of known functions and constants. Integrating these expressions, we find u1(x) and u2(x). Finally, the general solution of the nonhomogeneous differential equation is y = y_h + y_p, where y_h is the general solution of the associated homogeneous equation and y_p is the particular solution obtained using the variation of parameters method.

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the following series converge absolutely, conditionally or diverge. 00 k2 Σ(-1)*. 16+1 k=1  converges absolutely.

To determine whether the series Σ((-1)^(k+1))/k^2 converges absolutely, conditionally, or diverges, we need to analyze its convergence behavior.

First, let's consider the absolute convergence by taking the absolute value of each term in the series

Σ |((-1)^(k+1))/k^2|

The series |((-1)^(k+1))/k^2| can be rewritten as Σ(1/k^2), since the absolute value of (-1)^(k+1) is always 1.

The series Σ(1/k^2) is a well-known series called the p-series with p = 2. For a p-series, the series converges if p > 1, and diverges if p ≤ 1.

In this case, p = 2, which is greater than 1. Therefore, the series Σ(1/k^2) converges.

Since the absolute value of each term in the original series converges, we can conclude that the original series Σ((-1)^(k+1))/k^2 converges absolutely. To determine whether the series converges conditionally, we would need to analyze the convergence of the original series without taking the absolute value. However, since we have already determined that the series converges absolutely, there is no need to evaluate its conditional convergence. In summary, the series Σ((-1)^(k+1))/k^2 converges absolutely.

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To find functions f and g such that h = gof, we need to determine how the composition of these functions can produce [tex]h(x) = √(2 - 1).[/tex]

Let's choose [tex]f(x) = √x and g(x) = 2 - x.[/tex] Now we can check if gof = h.

First, compute gof:

[tex]gof(x) = g(f(x)) = g(√x) = 2 - √x.[/tex]

Now compare gof with h:

[tex]gof(x) = 2 - √x = h(x) = √(2 - 1).[/tex]

We can see that gof matches h, so the functions [tex]f(x) = √x and g(x) = 2 - x[/tex]satisfy the condition h = gof.

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The equation of the curve that satisfies the given conditions is [tex]\ln|y| = 4x^6 + \ln|5|$.[/tex]

What are ordinary differential equations?

Ordinary differential equations (ODEs) are mathematical equations that involve an unknown function and its derivatives with respect to a single independent variable. Unlike partial differential equations, which involve partial derivatives with respect to multiple variables, ODEs deal with derivatives of a single variable.

ODEs are widely used in various fields of science and engineering to describe dynamic systems and their behavior over time. They help us understand how a function changes in response to its own derivative or in relation to the independent variable.

To find an equation of the curve that satisfies the given condition, we can solve the given differential equation and use the given y-intercept.

The given differential equation is [tex]\frac{dy}{dx} = 24yx^5$.[/tex]

Separating variables, we can rewrite the equation as [tex]\frac{dy}{y} = 24x^5 \, dx$.[/tex]

Integrating both sides, we have [tex]$\ln|y| = \frac{24}{6}x^6 + C$[/tex], where [tex]$C$[/tex] is the constant of integration.

Simplifying further, we get [tex]\ln|y| = 4x^6 + C$.[/tex]

To find the value of the constant [tex]$C$[/tex], we use the fact that the curve passes through the[tex]$y$-intercept $(0, 5)$.[/tex]

Substituting [tex]$x = 0$[/tex] and[tex]$y = 5$[/tex]into the equation, we have[tex]$\ln|5| = 4(0^6) + C$.[/tex]

Taking the natural logarithm of 5, we find [tex]$\ln|5| = C$.[/tex]

Therefore, the equation of the curve that satisfies the given conditions is [tex]\ln|y| = 4x^6 + \ln|5|$.[/tex]

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Volume of Solid A is 1,080 m3. The surface area ratio of Solid A to Solid B is 5:3.

To find the volume of Solid A, we need to use the surface area ratio between Solid A and Solid B. The ratio of the surface areas is given as 675 m2 for Solid A and 432 m2 for Solid B. We can set up a proportion to find the volume ratio.

The surface area ratio of Solid A to Solid B is 675 m2 / 432 m2, which simplifies to 5/3. Since the volume of Solid B is given as 960 m3, we can multiply the volume of Solid B by the volume ratio to find the volume of Solid A.

Volume of Solid A = (Volume of Solid B) x (Volume ratio)

= 960 m3 x (5/3)

= 1,600 m3 x 5/3

= 1,080 m3.

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A) The total cost of producing 9 units is $1216 B) the total cost of producing 9 units is $1216. To find the total cost function, we need to integrate marginal cost function.

[tex]∫P'(q) dq = ∫(q^2 - 10q + 60) dq[/tex] Integrating term by term, we get: C(q) = (1/3)q^3 - (10/2)q^2 + 60q + C where C is the constant of integration. Since the initial cost of the product is $1000, we can use this information to determine the value of the constant of integration,

C. [tex]C(0) = (1/3)(0)^3 - (10/2)(0)^2 + 60(0) + C = 1000[/tex]

C = 1000

Therefore, the total cost function is:

[tex]C(q) = (1/3)q^3 - 5q^2 + 60q + 1000[/tex] To find the total cost of producing 9 units, we substitute q = 9 into the total cost function: [tex]C(9) = (1/3)(9)^3 - 5(9)^2 + 60(9) + 1000 = 243/3 - 405 + 540 + 1000 = 81 - 405 + 540 + 1000[/tex]= 1216 dollars Therefore, the total cost of producing 9 units is $1216.

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For the polynomial function f(x) = x(x + 6):(A) The degree of the polynomial is 2.(B) To find the x-intercepts, we set f(x) equal to zero and solve for x. In this case, we have x(x + 6) = 0. (C) The y-intercept occurs when x = 0.

The given polynomial function f(x) = x(x + 6) is a quadratic polynomial with a degree of 2. To find the x-intercepts, we set the polynomial equal to zero and solve for x. By factoring out x from x(x + 6) = 0, we obtain the solutions x = 0 and x + 6 = 0, which gives x = 0 and x = -6 as the x-intercepts. The y-intercept occurs when x is equal to 0, and by substituting x = 0 into the function, we find that the y-intercept is (0, 0).

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The Empirical Rule and Chebychev's Theorem are both used to estimate the proportions of data contained within a certain number of standard deviations from the mean (A).

However, there are also some differences between the two.
One similarity between the Empirical Rule and Chebychev's Theorem is that they both estimate proportions of the data contained within k standard deviations of the mean. This means that both methods are useful for determining how much of the data is within a certain range of values from the mean.
On the other hand, Chebychev's Theorem is more general than the Empirical Rule and can be used with any distribution. It does not require the data to have a specific shape or be bell-shaped, unlike the Empirical Rule.
In addition, while both methods use the mean and standard deviation of a sample, Chebychev's Theorem does not calculate the variance of a sample.
Overall, the Empirical Rule and Chebychev's Theorem both provide useful estimates of the proportion of data within a certain range from the mean, but they differ in their assumptions about the distribution of the data and the specific calculations used.

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To calculate the covariance between the combined claims before and after a surcharge, we need to use the given expectations and variance to find the appropriate values and substitute them into the covariance formula.

To calculate Cov(C, C2), we need to use the following formula:Cov(C, C2) = E(C * C2) - E(C) * E(C2)

First, let's find E(C * C2):

E(C * C2) = E((X + Y) * (X + 1.2 * Y))

Expanding the expression:

E(C * C2) = E(X^2 + 2.2 * XY + 1.2 * Y^2)

Using the given values for E(X^2), E(Y^2), and Var(X + Y), we can calculate E(C * C2):

E(C * C2) = 27.4 + 2.2 * Cov(X, Y) + 1.2 * 51.4

Next, let's find E(C) and E(C2):

E(C) = E(X + Y) = E(X) + E(Y) = 5 + 7 = 12

E(C2) = E(X + 1.2 * Y) = E(X) + 1.2 * E(Y) = 5 + 1.2 * 7 = 13.4

Finally, we can calculate Cov(C, C2):

Cov(C, C2) = E(C * C2) - E(C) * E(C2)

Substituting the values we calculated:

Cov(C, C2) = 27.4 + 2.2 * Cov(X, Y) + 1.2 * 51.4 - 12 * 13.4

Simplifying the expression will give the final result for Cov(C, C2).

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Answer:

Step-by-step explanation:

0.80m

The difference between the roots of the equation 2x² - 7x + c = 0 is determined by the value of c being less than or equal to 49/8.

The difference between the roots of the equation 2x² - 7x + c = 0 is determined by finding the roots of the equation first. To find the roots, the equation can be rewritten by using the quadratic formula as follows:

x = [-b ± √(b² - 4ac)]/2a

Plugging in the values of a = 2, b = -7, and c = c, we get

x = [-(-7) ± √(72 - 4(2)(c))]/4

x = [7 ± √(49 - 8c)]/4

For x to be real, the term under the square root must be greater than or equal to 0. So,

49 - 8c ≥ 0

This simplifies to

8c ≤ 49

Therefore, c must be less than or equal to 49/8 for the roots of the equation to be real.

Hence, the difference between the roots of the equation 2x² - 7x + c = 0 is determined by the value of c being less than or equal to 49/8.

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After using 1/3 cup of paint on a project and adding another 1/2 cup, Joe now has 7/12 cup of paint in the container.

Initially, Joe has 3/4 cup of paint in the container. He uses 1/3 cup of paint on a project.

To find out how much paint is left, we subtract 1/3 from 3/4. To do this, we need a common denominator, which in this case is 12.

Multiplying the numerator and denominator of 1/3 by 4 gives us 4/12.

Now we can subtract 4/12 from 9/12, which equals 5/12 cup of paint remaining in the container.

Next, Joe adds another 1/2 cup of paint to the container. To determine the total amount of paint, we add 5/12 and 1/2.

To add fractions, we need a common denominator, which is 12 in this case.

Multiplying the numerator and denominator of 1/2 by 6 gives us 6/12.

Now we can add 5/12 and 6/12, which equals 11/12 cup of paint.

Therefore, after using 1/3 cup of paint on the project and adding another 1/2 cup, Joe now has 11/12 cup of paint in the container.

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(a) This equation has two coordinates: x = 0 and x = 2, 0 at max and 2 at min. (b) function is increasing on these intervals. (c) x = 1 is an inflection point.

To find the extrema of the function, we need to find the critical points by taking the derivative and setting it equal to zero. Differentiating the function, we get f'(x) = -3x + 6x. Setting this equal to zero gives us -3x  + 6x = 0. Factoring out x, we have x(-3x + 6) = 0.

This equation has two solutions: x = 0 and x = 2.To determine whether these points are maxima or minima, we can evaluate the second derivative at these points. Taking the second derivative of f(x), we get f''(x) = -6x + 6. Substituting x = 0 and x = 2 into f''(x), we find that f''(0) = 6 and f''(2) = -6. Since f''(0) > 0, it is a minimum, and f''(2) < 0, it is a maximum.

(b) To find where the function is increasing or decreasing, we can examine the sign of the first derivative. Since f'(x) = -3x + 2 + 6x, we can test the intervals between the critical points x = 0 and x = 2. We find that f'(x) > 0 for x < 0 and 0 < x < 2, indicating that the function is increasing on these intervals. Similarly, f'(x) < 0 for 0 < x < 2 and x > 2, indicating that the function is decreasing on these intervals.

(c) To find the inflection points, we need to find where the concavity of the function changes. This occurs when the second derivative changes sign. From earlier, we know that f''(x) = -6x + 6. Setting f''(x) = 0, we find x = 1 as the potential inflection point.

To determine if it is an inflection point, we check the concavity on either side of x = 1. Plugging in values close to 1, we find that f''(0.5) = 3 and f''(1.5) = -3, indicating a change in concavity and confirming that x = 1 is an inflection point.

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The slope of the line passing through the points (3/8, -42/32) and (5/8, -75/32) can be found using the formula: slope = (change in y-coordinates) / (change in x-coordinates).

To calculate the change in y-coordinates, we subtract the y-coordinate of the first point from the y-coordinate of the second point:

-75/32 - (-42/32) = -75/32 + 42/32 = -33/32.

Similarly, we find the change in x-coordinates by subtracting the x-coordinate of the first point from the x-coordinate of the second point:

5/8 - 3/8 = 2/8 = 1/4.

Now, we can compute the slope by dividing the change in y-coordinates by the change in x-coordinates:

slope = (-33/32) / (1/4).

To divide fractions, we multiply the first fraction by the reciprocal of the second fraction:

slope = (-33/32) * (4/1) = -33/8.

Therefore, the slope of the line passing through the given points is -33/8.

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The given iterated integral ∫∫∫ 6ze dy dx dz needs to be evaluated by integrating with respect to y, x, and z.

To evaluate the given iterated integral, we start by determining the order of integration. In this case, the order is dy, dx, dz. We then proceed to integrate each variable one by one.

First, we integrate with respect to y, treating z and x as constants. The integral of 6ze dy yields 6zey.

Next, we integrate the result from the previous step with respect to x, considering z as a constant. This gives us ∫(6zey) dx = 6zeyx + C1.

Finally, we integrate the expression obtained in the previous step with respect to z. The integral of 6zeyx with respect to z yields 3z²eyx + C2.

Thus, the evaluated iterated integral becomes 3z²eyx + C2, which represents the antiderivative of the function 6ze with respect to y, x, and z.

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(a) The concavity of the given quadratic functions is as follows:

y = x^2 + x - 6 is concave up.

y = 4x^2 + 4x - 15 is concave up.

y = x^2 - 2x - 8 is concave up.

y = 1 - 4x - 3x^2 is concave down.

(b) The value of the vertex for each function is as follows:

y = x^2 + x - 6 has a vertex at (-0.5, -6.25).

y = 4x^2 + 4x - 15 has a vertex at (-0.5, -16.25).

y = x^2 - 2x - 8 has a vertex at (1, -9).

y = 1 - 4x - 3x^2 has a vertex at (-2/3, -23/9).

(a) To determine the concavity of a quadratic function, we examine the coefficient of the x^2 term. If the coefficient is positive, the function is concave up; if it is negative, the function is concave down.

(b) The vertex of a quadratic function can be found using the formula x = -b/2a, where a and b are the coefficients of the x^2 and x terms, respectively. Substituting this value of x into the function gives us the y-coordinate of the vertex. The vertex represents the minimum or maximum point of the function.

By applying these concepts to each given quadratic function, we can determine their concavity and find the coordinates of their vertices.

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As the value x approaches infinity, the function 5 cos(x), which can also be abbreviated as DNE, continues to grow without limit.

It is necessary to investigate the behaviour of the function as x gets increasingly larger in order to identify the limit of the 5 cos(x) expression as x approaches infinity. By doing this, we will be able to determine the extent of the limit. The value of the cosine function, which is symbolised by the symbol cos(x), fluctuates between -1 and 1 as x continues to increase without bound. This suggests that the values of 5 cos(x) will also swing between -5 and 5 as the function develops. This is the case since x approaches infinity as the function evolves.

The limit does not exist because the function does not attain a specific value but rather continues to fluctuate back and forth. This is the reason why the limit does not exist. To put it another way, there is no single value that can be defined as the limit of 5 cos(x), even as x becomes closer and closer to infinity. This is because 5 cos(x) is a function of the angle between x and itself. Take a look at the graph of the function; there, we can see that there are oscillations that occur at regular intervals. This can make it easier for us to picture what is taking place. As a consequence of this, the answer that was provided for the limit problem is "does not exist," which is abbreviated as "DNE."

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Answer:

explantion

Step-by-step explanation:

exaplantion:

just a little bit but you can either

Other wise that is it

bonus ( in a way )

graphing.

Other wise that is it

                   The answer is this little thing on top↑↑↑↑

The maximum population density occurs at (10, ∞).

To find the maximum population density, we need to find the critical point of the given function. Taking partial derivatives with respect to x and y, we get:

∂P/∂x = -50x + 500

∂P/∂y = -25

Setting both partial derivatives equal to zero, we get:

-50x + 500 = 0

-25 = 0

Solving for x and y, we get:

x = 10

y = any value

Substituting x = 10 into the original equation, we get:

P(10,y) = -25(10)² - 25y + 500(10) + 600y + 180

P(10,y) = -2500 - 25y + 5000 + 600y + 180

P(10,y) = 575y - 2320

To find the maximum value of P(10,y), we need to take the second partial derivative with respect to y:

∂²P/∂y² = 575 > 0

Since the second partial derivative is positive, we know that P(10,y) has a minimum value at y = -∞ and a maximum value at y = ∞. Therefore, the maximum population density occurs at (10, ∞).

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Answer:

A = (130x - 2x^2)/2

Step-by-step explanation:

Let's break down the information given in the problem:

To write an equation that gives the area of the pen, A, as a function of x, the length of fence parallel to the barn wall, we need to consider the dimensions of the pen.

Let's assume the length of the pen parallel to the barn wall is x. In that case, the width of the pen (the side perpendicular to the barn wall) would be (130 - 2x)/2, considering that there are two equal sides of length x and the remaining fencing is used for the width.

The area of a rectangle can be calculated by multiplying its length and width. Therefore, the equation that gives the area of the pen, A, as a function of x is:

A = x * (130 - 2x)/2

Simplifying this equation further, we have:

A = (130x - 2x^2)/2

So, the equation is A = (130x - 2x^2)/2, where A represents the area of the pen and x represents the length of the fence parallel to the barn wall.

Calculation:Here, å = 3j + k, b = 21-j+2e, a is not given.So, we cannot calculate the dot product between these vectors as a is missing.

The given terms are "vectors", "Calculate", and "å= 3j+ k". Dot product of vectors:The dot product of two vectors is also known as the scalar product of vectors. It's a binary operation that accepts two vectors as inputs and generates a scalar number as output. It is mathematically expressed as:A.B = AB cosθWhere A and B are vectors, AB is the magnitude of vectors, and θ is the angle between them.Calculation:Here, å = 3j + k, b = 21-j+2e, a is not given.So, we cannot calculate the dot product between these vectors as a is missing.Thus, the given question cannot be answered with the given data.

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The product 6sin(2)cos(52) can be written as a sum involving trigonometric functions. By using the sum and difference formulas for sine, we can express the product as a sum of sine functions.

To write the product as a sum, we can use the sum and difference formulas for sine: sin(A + B) = sin(A)cos(B) + cos(A)sin(B) and sin(A - B) = sin(A)cos(B) - cos(A)sin(B).

In this case, let A = 52 and B = 50. Applying the sum and difference formulas, we have:

6sin(2)cos(52) = 6[sin(2)cos(50 + 2) + cos(2)sin(50 + 2)]

Now, we can simplify the arguments inside the sine and cosine functions:

50 + 2 = 52

50 + 2 = 52

Therefore, the product can be written as:

6sin(2)cos(52) = 6[sin(2)cos(52) + cos(2)sin(52)]

Thus, the product 6sin(2)cos(52) can be expressed as the sum 6[sin(2)cos(52) + cos(2)sin(52)].

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To construct the fourth-degree Taylor polynomial at x = 0 for the function f(x) = (4 - x)^(3/2), we need to find the values of the function and its derivatives at x = 0.

First, let's find the function and its derivatives:

f(x) = (4 - x)^(3/2)

f'(x) = -3/2(4 - x)^(1/2)

f''(x) = 3/4(4 - x)^(-1/2)

f'''(x) = -15/8(4 - x)^(-3/2)

f''''(x) = 45/16(4 - x)^(-5/2)

Next, we can write the Taylor polynomial as:

P4(x) = f(0) + f'(0)x + (f''(0)x^2)/2! + (f'''(0)x^3)/3! + (f''''(0)x^4)/4!

Substituting the values of the function and its derivatives at x = 0:

P4(x) = (4 - 0)^(3/2) + 0 + (3/4)(4 - 0)^(-1/2)x^2/2! + (-15/8)(4 - 0)^(-3/2)x^3/3! + (45/16)(4 - 0)^(-5/2)x^4/4!

Simplifying:

P4(x) = 4^(3/2) + (3/8)x^2 - (5/16)x^3 + (45/256)x^4

Thus, the fourth-degree Taylor polynomial at x = 0 for the function f(x) = (4 - x)^(3/2) is P4(x) = 8 + (3/8)x^2 - (5/16)x^3 + (45/256)x^4.

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The minimum cost of such a mixture is $3410..

to formulate this as a linear programming problem, let's define the decision variables:x = amount (in kg) of food i to be mixed

y = amount (in kg) of food ii to be mixed

the objective is to minimize the cost, which can be expressed as:cost = 50x + 70y

the constraints are:

vitamin a constraint: 2x + y ≥ mvitamin c constraint: x + 2y ≥ n

non-negativity constraint: x ≥ 0, y ≥ 0

given that the solution occurs at a corner point (x = 29, y = 28), we can substitute these values into the objective function to find the minimum cost:cost = 50(29) + 70(28)

cost = 1450 + 1960cost = 3410

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The given double integral ∬CL x²ey dx dy can be evaluated by reversing the order of integration Reversing the order of integration means switching the order of integration variables and changing the limits accordingly. In this case,

since the inner integral is with respect to x and the outer integral is with respect to y, we need to swap the integration order.

The new integral will be: ∬CL x²ey dy dx

To evaluate this integral, we first integrate the inner integral with respect to y, treating x as a constant: ∫(ey) dx = x²ey.

Then, we integrate the resulting expression x²ey with respect to x over the appropriate limits for x.

The specific limits of integration and the context of the problem will determine the exact evaluation of the integral.

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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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Consider the integral ∫4x * e^(4x) dx. By applying the integration by parts technique, letting u = 4x and dv/dx = e^(4x), the solution involves finding du/dx and v, using the formula uv - ∫v du.

To evaluate the integral, we begin by applying the integration by parts technique. Letting u = 4x and dv/dx = e^(4x), we can find du/dx and v to be du/dx = 4 and v = ∫e^(4x) dx = (1/4) * e^(4x).

Using the formula uv - ∫v du, we have:

∫4x * e^(4x) dx = (4x) * ((1/4) * e^(4x)) - ∫((1/4) * e^(4x)) * 4 dx.

Simplifying the expression, we obtain:

∫4x * e^(4x) dx = x * e^(4x) - ∫e^(4x) dx.

Integrating ∫e^(4x) dx, we have (∫e^(4x) dx = (1/4) * e^(4x)):

∫4x * e^(4x) dx = x * e^(4x) - (1/4) * e^(4x) + C.

Therefore, the final answer for the integral is x * e^(4x) - (1/4) * e^(4x) + C, where C represents the constant of integration.

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