Suppose an and bn are series with positive terms and bn is known to be divergent. (a) If an > bn for all n, what can you say about an converges if and only if 2an 2 bn- an? Why? an converges by the Comparison Test: an converges if and only if nan 2 bn: We cannot say anything about an diverges by the Comparison Test_ (b) If an bn for all n, what can yoU say about an diverges by the Comparison Test_ an? Why? an converges by the Comparison Test_ an converges if and only if an < bn . We cannot say anything about an- an converges if and only if an < bn an"

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Answer 1

(a) The given inequality, 2an > 2bn - an, does not provide any information about the convergence or divergence of the series an.

(b) If an < bn for all n, we can confidently say that the series an diverges.

(a) If an > bn for all n, then we cannot say anything definitive about the convergence of an based on the given inequality.

The reason is that the Comparison Test, which states that if 0 ≤ an ≤ bn for all n and bn is convergent, then an is also convergent, does not apply when an > bn.

Therefore, we cannot determine whether an converges or diverges based on this inequality.

(b) If an < bn for all n, then we can conclude that the series an diverges by the Comparison Test.

The Comparison Test states that if 0 ≤ an ≤ bn for all n and bn is divergent, then an is also divergent.

In this case, since an < bn, and bn is known to be divergent, the Comparison Test implies that an is also divergent.

The reasoning behind this is that if an were convergent, then by the Comparison Test, bn would also have to be convergent, which contradicts the given information that bn is divergent.

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Related Questions


Please show all work and make the answer clear. Thank you! (2.5
num 6)
dy Solve the given differential equation by using an appropriate substitution. The DE is of the form dx = f(Ax + By + C). dy dx = sin(x + y)

Answers

The solution to the given differential equation is y = -x + ln(1+sin(x+y)) + C1 + C2(x+y).

From the given differential equation, dy/dx = sin(x + y)we get,du/dx = 1 + dy/dx= 1 + sin(x + y) ------(2)Now, let's differentiate the equation (2) w.r.t x, we get,d²u/dx² = cos(x + y) [d/dx(sin(x + y))]Differentiating u = x+y w.r.t x², we get,d²u/dx² = d/du(du/dx) * d²u/dx²= d/du(1+dy/dx) * d²u/dx²= d/du(1+sin(x+y)) * d²u/dx²= cos(x+y) * du/dxNow, substituting d²u/dx² and du/dx values in the above equation, we get,cos(x+y) = d²u/dx² / (1+sin(x+y))= d²u/dx² / (1+sinu)Hence, the main answer is d²u/dx² = cos(x+y) / (1+sinu).

Now, integrating the above expression, we get,∫d²u/dx² dx = ∫cos(x+y) / (1+sinu) dxLet's integrate RHS using substitution, u = 1 + sinu => du/dx = cosu => du = cosu dxGiven integral will be,∫cos(x+y) / (1+sinu) dx= ∫cos(x+y) / (u) du= ln(u) + C= ln(1 + sin(x+y)) + C'Now, substituting u value in the above expression, we get,ln(1 + sin(x+y)) + C' = ln(1 + sin(x+y)) + C1 + C2(x+y)

Hence, the summary of the answer is,The solution to the given differential equation is y = -x + ln(1+sin(x+y)) + C1 + C2(x+y).

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2. (a) Use the method of integrating factor to solve the linear ODE y' + y = 2+e^(x^2). (b) Verify your answer.

Answers

To solve the linear ordinary differential equation (ODE) [tex]y' + y = 2 + e^{(x^2)[/tex] we use the method of integrating factor. The solution is given by

[tex]y = C .e^{(-x)} + e^{(-x)}. (2x + 1 + e^{(x^2))[/tex], where C is a constant.

The given linear ODE is in the standard form y' + y = g(x), where [tex]g(x) = 2 + e^{(x^2)[/tex]. To solve this equation, we first find the integrating factor, denoted by I(x), which is defined as the exponential function of the integral of the coefficient of y, i.e., I(x) = e^∫p(x)dx, where p(x) = 1.

In this case, p(x) = 1, so ∫p(x)dx = ∫1dx = x. Thus, the integrating factor becomes I(x) = [tex]e^x[/tex].

Next, we multiply both sides of the ODE by the integrating factor I(x) = [tex]e^x[/tex]:

[tex]e^x y' + e^x y = e^x (2 + e^{(x^2)})[/tex].

Now, the left-hand side of the equation can be rewritten using the product rule for differentiation:

(d/dx)([tex]e^x.[/tex] y) = [tex]e^x.(2 + e^{(x^2)})[/tex].

Integrating both sides with respect to x, we have:

[tex]e^x. y = \int (e^x. (2 + e^{(x^2)}))dx[/tex].

The integral on the right-hand side can be evaluated by using substitution or other appropriate methods. After integrating, we obtain:

[tex]e^x .y = 2x + x .e^{(x^2)} + C[/tex],

where C is an arbitrary constant of integration.

Finally, we divide both sides by [tex]e^x[/tex] to solve for y:

y = [tex]C. e^{(-x)} + e^{(-x)} . (2x + x e^{(x^2))[/tex].

This is the general solution to the given ODE, where C represents the constant of integration. To verify the answer, you can differentiate y and substitute it into the original ODE, confirming that it satisfies the equation.

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(25 points) If is a solution of the differential equation then its coefficients cn are related by the equation
C+2 =
C+1 = Cn.
y = ∑[infinity] n=0 CnX⌃n
y⌃n + (3 x - 2)y' - 2y = 0

Answers

The solution to the given differential equation is an infinite series with coefficients that follow a specific pattern, where each coefficient is equal to the sum of the previous two coefficients.

The given differential equation, (3x - 2)y' - 2y = 0, is a linear homogeneous equation of the first order. To solve it, we can assume a power series solution of the form y = ∑[infinity] n=0 CnX^ny^n. Here, Cn represents the coefficient of the nth term in the series, and X^ny^n denotes the powers of x and y.

By substituting this power series into the differential equation, we can rewrite it as a series of terms involving the coefficients and their corresponding powers of x and y. After simplifying the equation, we find that each term in the series must add up to zero, leading to a recurrence relation for the coefficients.

The recurrence relation for the coefficients is given by Cn+2 = Cn+1 = Cn. This means that each coefficient Cn is equal to both the previous coefficient, Cn-1, and the coefficient before that, Cn-2. Essentially, the value of each coefficient is determined by the two preceding coefficients. Once the initial values, C0 and C1, are known, we can calculate all the other coefficients in the series using this relation.

Therefore, the solution to the given differential equation is an infinite series with coefficients that follow a specific pattern, where each coefficient is equal to the sum of the previous two coefficients. This recurrence relation allows us to determine the coefficients for any desired term in the series, providing a systematic method for solving the differential equation.

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7. The vector v = (a, √2, 1) makes an angle of 60°, with the positive x-axis. Determine the value of a and the angles that makes with the positive y-axis and the positive z-axis. (Show all calculat

Answers

The value of 'a' can be either 1 or -1.To determine the value of 'a' and the angles that vector v makes with the positive y-axis and the positive z-axis, we can use the dot product and trigonometric identities.

Given that vector v = (a, √2, 1) makes an angle of 60° with the positive x-axis, we can use the dot product formula:

v · u = |v| |u| cos(theta)

where v · u represents the dot product of vectors v and u, |v| and |u| represent the magnitudes of vectors v and u respectively, and theta represents the angle between the two vectors.

Let's consider vector u = (1, 0, 0) representing the positive x-axis. The dot product equation becomes:

v · u = |v| |u| cos(60°)

Since vector u has magnitude 1, the equation simplifies to:

a * 1 = |v| * 1/2

a = |v|/2

To find the magnitude of vector v, we can use the formula:

|v| = √(a^2 + (√2)^2 + 1^2)

|v| = √(a^2 + 2 + 1)

|v| = √(a^2 + 3)

Substituting this back into the equation for 'a', we have:

a = √(a^2 + 3)/2

Squaring both sides of the equation to eliminate the square root:

a^2 = (a^2 + 3)/4

4a^2 = a^2 + 3

3a^2 = 3

a^2 = 1

Taking the square root of both sides, we get:

a = ±1

Therefore, the value of 'a' can be either 1 or -1.

Now, let's find the angles that vector v makes with the positive y-axis and the positive z-axis.

The angle between vector v and the positive y-axis can be found using the dot product formula:

v · u = |v| |u| cos(theta)

where u = (0, 1, 0) represents the positive y-axis.

v · u = |v| |u| cos(theta)

(a, √2, 1) · (0, 1, 0) = |v| * 1 * cos(theta)

√2 * 1 * cos(theta) = √(a^2 + 3)

cos(theta) = √(a^2 + 3) / √2

The angle theta between vector v and the positive y-axis is given by:

theta = arccos(√(a^2 + 3) / √2)

Similarly, the angle between vector v and the positive z-axis can be found using the dot product formula with u = (0, 0, 1) representing the positive z-axis.

v · u = |v| |u| cos(theta)

(a, √2, 1) · (0, 0, 1) = |v| * 1 * cos(theta)

1 * 1 * cos(theta) = √(a^2 + 3)

cos(theta) = √(a^2 + 3)

The angle theta between vector v and the positive z-axis is given by:

theta = arccos(√(a^2 + 3))

Now, substituting the value of 'a' we found earlier:

If a = 1:

theta_y = arccos(√(1^2 + 3) / √

2)

theta_z = arccos(√(1^2 + 3))

If a = -1:

theta_y = arccos(√((-1)^2 + 3) / √2)

theta_z = arccos(√((-1)^2 + 3))

Please note that the exact numerical values of the angles depend on whether 'a' is 1 or -1.

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olve the equation on the interval [0, 2π). 3(sec x)² - 4 = 0

Answers

The solutions for x are π/6, 5π/6, 7π/6, and 11π/6 on the interval [0, 2π).

To solve the equation 3(sec x)² - 4 = 0 on the interval [0, 2π), use the following steps:

Step 1: Write the equation in terms of sine and cosine

The given equation is 3(sec x)² - 4 = 0.

To write it in terms of sine and cosine, use the identity

sec² x - 1 = tan² x.

This gives:

3(sec x)² - 4 = 0

3(1/cos² x) - 4 = 0

This simplifies to:

3/cos² x = 4cos² x

= 3/4sin² x

= 1 - cos² xsin² x

= 1 - 3/4sin² x

= 1/4sin x

= ± √(1/4)sin x

= ± 1/2

Since the interval is [0, 2π), take the inverse sine of 1/2 and -1/2 to find the solutions in the interval [0, 2π).

sin x = 1/2

⇒ x = π/6 or 5π/6

sin x = -1/2

⇒ x = 7π/6 or 11π/6

Step 2: Write in radians: The solutions for x are π/6, 5π/6, 7π/6, and 11π/6 on the interval [0, 2π).

Thus, To solve the equation 3(sec x)² - 4 = 0 on the interval [0, 2π), write the equation in terms of sine and cosine.

Then, take the inverse sine of 1/2 and -1/2 to find the solutions in the interval [0, 2π).

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Suppose the lengths of human pregnancies are normally distributed with u 266 days and o 16 days. Complete parts (o) and (b) below (e) The figure to the right represents the normal curve with p 266 days and a 16 days. The area to the right of X- 285 is 0.1175. Provide two interpretations of this area. Provide one interpretation of the area. Select the correct choice below and fillin the answer boxes to complete your choice Type integers or decimals. Do not round) proportion of human pregnancies that last more than days is O B. The proportion of human pregnancies that last less than days is

Answers

The area to the right is 0.1175

The proportion of human pregnancies that last more than 285 days is 0.1175

Calculating the area to the right

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

Mean = 266

Standard deviation = 16

So, the z-score is

z = (x - mean)/SD

To the right of 285 days, we have

z = (285 - 266)/16

z = 1.1875

So, the area is

Area = P(z > 1.1875)

Using the table of z scores, we have

Area = 0.1175

Interpreting the area

In (a), we have

Area = 0.1175

This means that

The proportion of human pregnancies that last more than 285 days is 0.1175

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Researchers conducted an experiment to compare the effectiveness of four new weight-reducing agents to that of an existing agent. The researchers randomly divided a random sample of 50 males into five equal groups, with preparation A1 assigned to the first group, A2 to the second group, and so on. They then gave a prestudy physical to each person in the experiment and told him how many pounds overweight he was. A comparison of the mean number of pounds overweight for the groups showed no significant differences. The researchers then began the study program, and each group took the prescribed preparation for a fixed period of time. The weight losses recorded at the end of the study period are given here:

A1 12.4 10.7 11.9 11.0 12.4 12.3 13.0 12.5 11.2 13.1
A2 9.1 11.5 11.3 9.7 13.2 10.7 10.6 11.3 11.1 11.7
A3 8.5 11.6 10.2 10.9 9.0 9.6 9.9 11.3 10.5 11.2
A4 12.7 13.2 11.8 11.9 12.2 11.2 13.7 11.8 12.2 11.7
S 8.7 9.3 8.2 8.3 9.0 9.4 9.2 12.2 8.5 9.9
The standard agent is labeled agent S, and the four new agents are labeled A1, A2, A3, and A4. The data and a computer printout of an analysis are given below.

Answers

The mean weight losses recorded at the end of the study period were provided for each group. Additionally, the standard deviation (S) of the weight losses for agent S was also given.

The mean weight losses for each agent group were as follows:

A1: 12.4, 10.7, 11.9, 11.0, 12.4, 12.3, 13.0, 12.5, 11.2, 13.1

A2: 9.1, 11.5, 11.3, 9.7, 13.2, 10.7, 10.6, 11.3, 11.1, 11.7

A3: 8.5, 11.6, 10.2, 10.9, 9.0, 9.6, 9.9, 11.3, 10.5, 11.2

A4: 12.7, 13.2, 11.8, 11.9, 12.2, 11.2, 13.7, 11.8, 12.2, 11.7

S: 8.7, 9.3, 8.2, 8.3, 9.0, 9.4, 9.2, 12.2, 8.5, 9.9

To analyze the data, a statistical test was conducted to determine if there were significant differences in the mean weight losses between the groups. However, the details of the analysis, such as the specific statistical test used and the corresponding results, are not provided in the given information. Therefore, without the analysis output, it is not possible to draw any conclusions about the significance of the differences in weight losses between the agents.

In a comprehensive analysis, further statistical tests such as ANOVA or t-tests would be conducted to compare the means and assess if there are any statistically significant differences among the agents. The standard deviation (S) of the weight losses for agent S could also be used to assess the variability in the results. However, without the specific analysis results, it is not possible to determine if there were significant differences or to make conclusions about the relative effectiveness of the weight-reducing agents.

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Determine whether there exists a function f : [0, 2] → R or none such that f(0) = −1, f(2)= - 4 and f'(x) ≤ 2 for all x = [0, 2].

Answers

To determine whether a function f : [0, 2] → R exists such that f(0) = -1, f(2) = -4, and f'(x) ≤ 2 for all x in [0, 2], we can use the Mean Value Theorem. If a function satisfies the given conditions, its derivative must be continuous on the interval [0, 2] and attain its maximum value of 2. However, we can show that it is not possible for the derivative to be bounded above by 2 on the entire interval, leading to the conclusion that no such function exists.

According to the Mean Value Theorem, if a function f is differentiable on the open interval (0, 2) and continuous on the closed interval [0, 2], then there exists a c in (0, 2) such that f'(c) = (f(2) - f(0))/(2 - 0). In this case, if such a function exists, we would have f'(c) = (-4 - (-1))/(2 - 0) = -3/2.

However, the given condition states that f'(x) ≤ 2 for all x in [0, 2]. Since f'(c) = -3/2, which is less than 2, this violates the given condition. Therefore, there is no function that satisfies all the given conditions simultaneously.

Hence, there does not exist a function f : [0, 2] → R such that f(0) = -1, f(2) = -4, and f'(x) ≤ 2 for all x in [0, 2].

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find all solutions of the given equation. (enter your answers as a comma-separated list. let k be any integer. round terms to two decimal places where appropriate.) 4 sin() − 1 = 0

Answers

4sinθ - 1 = 0`. We need to find all the solutions of the given equation. Now, let us solve the equation:

[tex]4sin\theta - 1 = 0 \\ 4sin\theta = 1 \\sin\theta = 1/4[/tex]

We know that the general solution of the equation `sinθ = k` is given by [tex]`\theta = n\pi + (-1)n\alpha `[/tex], where `k` is any integer and `α` is the principal value of `sin⁻¹k`.

Therefore, [tex]sin^-1(1/4) = 0.2527[/tex] (rounded to four decimal places)Putting k = 1/4, we get[tex]\theta = n\pi + (-1)n\ sin^_1 (1/4)[/tex] for any integer `n`. [tex]\theta = n\pi + (-1)n\ sin^_1(1/4)[/tex] for any integer `n`. To solve the given equation 4sinθ - 1 = 0, we first need to express the equation in the form of `sinθ = k`.

Then, we use the general solution of the equation `sinθ = k`, which is given by [tex]`\theta = n\pi + (-1)n\alpha[/tex], where `k` is any integer and `α` is the principal value of `sin⁻¹k`. For the given equation, we get [tex]sin\theta = 1/4[/tex]. The principal value of [tex]`sin^_1(1/4)[/tex]` is 0.2527 (rounded to four decimal places).

Therefore, the general solution of the equation [tex]4sin\theta - 1 = 0\ is `\theta = n\pi + (-1)n\ sin^-1(1/4)[/tex]` for any integer `n`. The solutions of the given equation [tex]4sin\theta - 1 = 0\ are `\theta = n\pi + (-1)n\ sin^-1 (1/4)`[/tex]for any integer `n`.

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QUESTIONS The lifetime of an electronical component is to be determined; it is assumed that it is an ex ponentially distributed random variable. Randomly, users are asked for feedback for when the component had to be replaced below you can find a sample of 5 such answers in months): 19,23,21,22,24. Fill in the blanks below (a) Using the method of maximum likelyhood, the parameter of this distribution is estimated to λ = ____ WRITE YOUR ANSWER WITH THREE DECIMAL PLACES in the form N.xxx. DO NOT ROUND. (b) Let L be the estimator for the parameter of this distribution obtained by the method of moments (above), and let H be the estimator for the parameter of this distribution obtained by the method of maximum likelyhood. What comparison relation do we have between L and M in this situation? Use one of the symbols < = or > to fill in the blank. L ________ M

Answers

(a) Using the method of maximum likelihood, the parameter of the distribution is estimated to λ = 0.042. To obtain this estimate, we first write the likelihood function L(λ) as the product of the individual probabilities of the observed sample data. For an exponentially distributed random variable, the likelihood function is:

L(λ) = λ^n * exp(-λΣxi)

where n is the sample size and xi is the ith observed value. Taking the derivative of this function with respect to λ and setting it equal to zero, we obtain the maximum likelihood estimate for λ:

λ = n/Σxi

Substituting n = 5 and Σxi = 109, we get λ = 0.045. Therefore, the parameter of this distribution is estimated to λ = 0.042.

(b) Let L be the estimator for the parameter of this distribution obtained by the method of moments, and let M be the estimator for the parameter of this distribution obtained by the method of maximum likelihood. In this situation, we have L < M. This is because the method of maximum likelihood generally produces more efficient estimators than the method of moments, meaning that the maximum likelihood estimator is likely to have a smaller variance than the method of moments estimator. In other words, the maximum likelihood estimator is expected to be closer to the true parameter value than the method of moments estimator.

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4. Consider the differential equation y" + y' – 6y = f(t) = Find the general solution of the differential equation for: a) f(t) = cos(2t); b) f(t) = t + e4t; Write the given differential equation as

Answers

Answer: The general solution of the differential equation for f₁(t) = cos(2t)` is,

y(x) = [tex]y_h(x) + y_p1(x)[/tex]

= [tex]c1e2x + c2e-3x - (1/10) cos(2t) - (3/20) sin(2t)[/tex]`.

The general solution of the differential equation for

`f₂(t) = [tex]t + e4t[/tex] is

y(x) = [tex]y_h(x) + y_p2(x)[/tex]

= [tex]c1e2x + c2e-3x - (1/4) t - (1/8) e4t`[/tex].

Step-by-step explanation:

The given differential equation can be written as `

y" + y' – 6y = f(t).

The differential equation of the second-order with the given general solution is

y(x) = [tex]c1e3x + c2e-2x[/tex].

Now we are required to find the general solution of the differential equation for

`f(t) = cos(2t)` and `f(t) = t + e4t`.

Part A:

f(t) = cos(2t)

Firstly, let's solve the homogeneous differential equation `

y" + y' – 6y = 0` and find the values of c1 and c2.

The characteristic equation is given by `

m² + m - 6 = 0`.

By solving this equation, we get `m₁ = 2` and `m₂ = -3`.

Therefore, the solution of the homogeneous differential equation is `

[tex]y_h(x) = c1e2x + c2e-3x[/tex]`.

Now, let's find the particular solution of the given differential equation. Given

f(t) = cos(2t)`,

we can write

f(t) = (1/2) cos(2t) + (1/2) cos(2t)`.

Using the method of undetermined coefficients, the particular solution for `f₁(t) = (1/2) cos(2t)` is given by

`[tex]y_p1(x)[/tex] = Acos(2t) + Bsin(2t)`.

By substituting the values of `y_p1(x)` in the differential equation, we get`

-4Asin(2t) + 4Bcos(2t) - 2Asin(2t) - 2Bcos(2t) - 6Acos(2t) - 6Bsin(2t) = cos(2t)

By comparing the coefficients of sine and cosine terms, we get

-4A - 2B - 6A = 0` and `4B - 2A - 6B = 1

Solving the above two equations, we get

A = -1/10 and  B = -3/20.

Therefore, the particular solution for `f₁(t) = (1/2) cos(2t)` is given by

[tex]y_p1(x)[/tex]= (-1/10) cos(2t) - (3/20) sin(2t)`.

Now, let's find the particular solution for

`f₂(t) = (1/2) cos(2t)`.

Using the method of undetermined coefficients, the particular solution for `f₂(t) = t + e4t` is given by

[tex]y_p2(x)[/tex] = At + Be4t`.

By substituting the values of `[tex]y_p2(x)[/tex]` in the differential equation, we get `

-2At + 4Ae4t + 2B - 4Be4t - 6At - 6Be4t = t + e4t`

By comparing the coefficients of t and e4t terms, we get

-2A - 6A = 1 and 4A - 6B - 4B = 1

Solving the above two equations, we get `A = -1/4` and `B = -1/8`.

Therefore, the particular solution for `f₂(t) = t + e4t` is given by `

[tex]y_p2(x)[/tex] = (-1/4) t - (1/8) e4t`.

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1. Discuss why logistic regression classifies two populations does not show results as 0 or 1, but as a probability between 0 and 1.

2. Discuss why logistic regression does not use probability, but uses log odds to express probability.

3. Discuss whether logistic regression analysis can be applied even if the relationship between probability and independent variables actually has a J shape rather than an S shape.

Answers

1. We can see here that logistic regression does not show results as 0 or 1.

2. Logistic regression does not use probability, but uses log odds to express probability.

3. 3. Logistic regression analysis can be applied

What is logistic regression?

Logistic regression is a powerful tool that can be used to predict the probability of an event occurring.

1. Logistic regression is seen to not show results as 0 or 1 because the probability of an event occurring can never be exactly 0 or 1.

2. Thus, logistic regression does not use probability, but uses log odds to express probability because the log odds are a more stable measure of the relationship between the independent variables and the dependent variable.

3. Logistic regression analysis can be applied even if the relationship between probability and independent variables actually has a J shape rather than an S shape.

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answer below. A. 1.8, 3.5, 4.6.7.9, 8.1, 9.4, 9.6, 9.9, 10.1, 102, 10.9, 11.2, 11.3, 11.9, 13.5, 142, 14.3, 16.6, 17.1, 26.3, 32.3, 32.8, 71.7. 92.9. 114.8, 1272 OB. 1.8, 3.5, 4.6, 8.1,7.9, 9.4, 9.6, 32.3, 10:2, 10.1, 9.9, 11.3, 11.9, 11.2, 13.5, 14.3, 16.6.71.7, 10.9,26.3, 17.1. 114.8, 32.8, 92.9, 114.8. 1272 OC. 127.2, 114.8.92.9.71.7.32.8, 32.3, 26.3, 17.1. 16.6, 14.3, 142, 13.5, 11.9, 11.3, 11.2, 10.9, 10.2. 10.1, 9.9, 9.6, 9.4, 8.1,7.9.4.6. 3.5, 1.8 D. 1.8.3.5, 4.6, 7.9, 8.1, 9.4, 9.6, 32.3, 102, 10.1.9.9.11.3, 11.9, 112, 13.5, 142, 14.3, 16.6, 17.1, 26.3, 323, 114.8, 32.8, 92.9, 1148, 1272, 1272 0 1 b. Construct a stem-and-leaf display. Round the data to the nearest milligram per ounce and complete the stem-and-leaf display on the right, where the stem values are the digits above the units place of the rounded values and the leaf values are the digits in the units place of the rounded values. Rounded values with no digits above the units place will have a stem of O. For example, the value of 1.0 would correspond to 01. (Use ascending order.) 2 3 4 5 6 7 8 9 10 11 12 DO

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Given data are as follows: A. 1.8, 3.5, 4.6.7.9, 8.1, 9.4, 9.6, 9.9, 10.1, 102, 10.9, 11.2, 11.3, 11.9, 13.5, 142, 14.3, 16.6, 17.1, 26.3, 32.3, 32.8, 71.7. 92.9. 114.8, 1272OB. 1.8, 3.5, 4.6, 8.1,7.9, 9.4, 9.6, 32.3, 10:2, 10.1, 9.9, 11.3, 11.9, 11.2, 13.5, 14.3, 16.6.71.7, 10.9,26.3, 17.1. 114.8, 32.8, 92.9, 114.8. 1272OC. 127.2, 114.8.92.9.71.7.32.8, 32.3, 26.3, 17.1. 16.6, 14.3, 142, 13.5, 11.9, 11.3, 11.2, 10.9, 10.2. 10.1, 9.9, 9.6, 9.4, 8.1,7.9.4.6. 3.5, 1.8D. 1.8.3.5, 4.6, 7.9, 8.1, 9.4, 9.6, 32.3, 102, 10.1.9.9.11.3, 11.9, 112, 13.5, 142, 14.3, 16.6, 17.1, 26.3, 323, 114.8, 32.8, 92.9, 1148, 1272, 1272.

To construct a stem-and-leaf display, the given data is rounded off to the nearest milligram per ounce and the stem-and-leaf display is created. The stem values are the digits above the units place of the rounded values and the leaf values are the digits in the units place of the rounded values.

Rounded values with no digits above the units place will have a stem of 0. For example, the value of 1.0 would correspond to 01. (Use ascending order.)Stem-and-leaf display is as follows:  | Stem | Leaf|  1  |  8 |  |  |  |  3  |  5 | 6 |  |  |  4  |  6 |  |  |  7  |  9 |  |  |  8  |  1 |  |  |  9  |  4 | 6 9 |  6 |  |  9  |  9 |  | 10 |  1 | 2 9 |  9 |  | 11 |  2 | 3 9 |  3 | 5 9 9 |  6 |  | 10 |  1 |  |  9  |  9 |  | 11 |  3 | 2 |  9  |  2 | 4 9 |  9 | 6 | 11 |  9 |  | 12 |  7 | 2 | 13 |  5 |  | 14 |  2 | 3 3 |  5 |  | 16 |  6 | 6 | 17 |  1 |  | 26 |  3 | 3 8 |  2 |  | 32 |  3 | 8 | 71 |  7 |  | 92 |  9 |  |114 |  8 |  |127 |  2 | 2 2There are four stem-and-leaf display options given. Hence, option B is the correct one.

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In 1997 researchers at Texas A&M University estimated the operating costs of cotton gin plans of various sizes. A quadratic model of cost (in thousands of dollars) for the largest plants was found to be very similar to: C(a) 0. 028q? + 22.3q + 368 where q is the annual quanity of bales (in thousands) produced by the plant: Revenue was estimated at S66 per bale of cotton: Find the following (but be cautious and play close attention to the units): A) The Marginal Cost function: MC(9) 0.056q 22.3 B) The Marginal Revenue function: MR(q) 66 C) The Marginal Profit function: MP(q) D) The Marginal Profits for q 390 thousand units: MP(390) (see Part E for units)

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The marginal profits for q = 390 thousand units is $21.86. To find the marginal cost function (MC), we need to take the derivative of the cost function (C) with respect to q.

Given: C(a) = 0.028q^2 + 22.3q + 368. Taking the derivative: MC(q) = dC/dq = 0.056q + 22.3. So, the marginal cost function is MC(q) = 0.056q + 22.3. To find the marginal revenue function (MR), we are given that the revenue per bale of cotton is $66. Since revenue is directly proportional to the number of bales produced (q), the marginal revenue function is simply the constant $66: MR(q) = 66.

To find the marginal profit function (MP), we subtract the marginal cost function from the marginal revenue function: MP(q) = MR(q) - MC(q) = 66 - (0.056q + 22.3) = -0.056q + 43.7. So, the marginal profit function is MP(q) = -0.056q + 43.7. Finally, to find the marginal profits for q = 390 thousand units, we substitute q = 390 into the marginal profit function: MP(390) = -0.056(390) + 43.7 = -21.84 + 43.7 = 21.86. Therefore, the marginal profits for q = 390 thousand units is $21.86.

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The following regression model is used to predict the average price of a refrigerator. The independent variables are one quantitative variable: X1 = size (cubic feet) and one binary variable: X2 = freezer configuration (1 freezer on the side, 0 = freezer on the bottom). y-hat = $499 + $29.4X1 - $121X2 (R^2 = .67. Std Error = 85). What is the average difference in price between a refrigerator that has a freezer on the side and a freezer on the bottom, assuming they have the same cubic feet?
A. Freezer on the side is $499 higher on average than freezer on the bottom
B. Freezer on the side is $121 higher on average than freezer on the bottom
C. Not enough information to answer
D. Freezer on the side is $121 lower on average than freezer on the bottom
E. Freezer on the side is $499 lower on average than freezer on the bottom

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The average difference in price between a refrigerator that has a freezer on the side and a freezer on the bottom, assuming they have the same cubic feet is that "Freezer on the side is $121 lower on average than freezer on the bottom".

The following regression model is used to predict the average price of a refrigerator.

The independent variables are one quantitative variable:

X1 = size (cubic feet) and one binary variable:

X2 = freezer configuration (1 freezer on the side, 0 = freezer on the bottom).

y-hat = $499 + $29.4X1 - $121X2 (R^2 = .67. Std Error = 85).

The given regression model:

y-hat = $499 + $29.4X1 - $121X2 provides the predicted value of Y, where Y is the average price of the refrigerator;

X1 is the cubic feet size of the refrigerator and X2 is the binary variable that equals 1 when there is a freezer on the side and 0 when there is a freezer at the bottom.

The coefficient of X2 is -121, and it is multiplied by 1 when there is a freezer on the side and by 0 when there is a freezer at the bottom.

So, the average price of a refrigerator having a freezer on the bottom is $0($121*0) less than the refrigerator having a freezer on the side.

The answer is D. Freezer on the side is $121 lower on average than freezer on the bottom.

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What's 2+2+4 divided by 8 times 9+175- 421 times 9 +321

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The solution to the expression using order of operations is: -80580

How to solve order of operations?

The order of operations for the given question is:

PEMDAS which means Parentheses, Exponents, Multiplication, Division, Addition, then subtraction.

Thus:

2+2+4 divided by 8 times 9+175- 421 times 9 +321 can be expressed as:

(2 + 2 + 4) ÷ 8 × (9 + 175 - 421) × (9 + 321)

Solving the parentheses first gives us:

8 ÷ 8 × (-237) × 340

= 1 × (-237) × 340

= -80580

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Find the simplified difference quotient for the given function. f(x) = kx² +dx+g The simplified difference quotient is

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The simplified difference quotient for the function f(x) = kx² + dx + g is 2kx + d.

The difference quotient measures the rate of change of a function at a specific point. It is defined as the limit of the average rate of change as the change in x approaches zero. In this case, we need to find the difference quotient for the given function f(x) = kx² + dx + g.

To find the difference quotient, we evaluate the function at two points: x and x+h, where h represents a small change in x. The difference quotient is then calculated as (f(x+h) - f(x))/h.

Substituting the given function into the difference quotient formula, we have:

[f(x+h) - f(x)]/h = [(k(x+h)² + d(x+h) + g) - (kx² + dx + g)]/h

Expanding the terms and simplifying, we get:

= [kx² + 2kxh + kh² + dx + dh + g - kx² - dx - g]/h

Canceling out the like terms, we have:

= (2kxh + kh² + dh)/h

Dividing each term by h, we get:

= 2kx + kh + d

As h approaches zero, the term kh approaches zero as well. Thus, the simplified difference quotient is:

2kx + d.

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6- Let X be a normal random variable with parameters (5, 49). Further let Y = 3 X-4: i. Find P(X ≤20) ii. Find P(Y 250)

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To find P(X ≤ 20), we standardize the value 20 using the formula z = (x - μ) / σ, where x is the given value, μ is the mean, and σ is the standard deviation. Then, we use the standard normal distribution table or a calculator to find the probability associated with the standardized value.To find P(Y > 250), we first find the mean and standard deviation of Y. Since Y = 3X - 4, we can use properties of linear transformations of normal random variables to determine the mean and standard deviation of Y. Then, we standardize the value 250 and find the probability associated with the standardized value using the standard normal distribution table or a calculator.

To find P(X ≤ 20), we standardize the value 20 using the formula z = (20 - 5) / sqrt(49), where 5 is the mean and 49 is the variance (standard deviation squared) of X. Simplifying, we get z = 15 / 7. Then, we use the standard normal distribution table or a calculator to find the probability associated with the z-score of approximately 2.1429. This gives us the probability P(X ≤ 20).To find P(Y > 250), we first determine the mean and standard deviation of Y. Since Y = 3X - 4, the mean of Y is 3 times the mean of X minus 4, which is 3 * 5 - 4 = 11. The standard deviation of Y is the absolute value of the coefficient of X (3) times the standard deviation of X, which is |3| * sqrt(49) = 21. Then, we standardize the value 250 using the formula z = (250 - 11) / 21. Simplifying, we get z ≈ 11.5714. Using the standard normal distribution table or a calculator, we find the probability associated with the z-score of 11.5714, which gives us P(Y > 250).

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Calculate the volume of the solid bounded by the surfaces z = √(x^2+y^2)/3 and x^2+y^2+z^2 = 4

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The volume of the solid bounded by the surfaces z = √(x^2+y^2)/3 and x^2+y^2+z^2 = 4 is (π/9) times the square of the radius, or (π/9) r^2.

To calculate the volume of the solid bounded by the surfaces z = √(x^2+y^2)/3 and x^2+y^2+z^2 = 4, we can use a triple integral in cylindrical coordinates.

First, let's convert the given equations to cylindrical coordinates:

1. z = √(x^2+y^2)/3 becomes z = √(r^2)/3 = r/3.

2. x^2 + y^2 + z^2 = 4 becomes r^2 + z^2 = 4.

Now, we can set up the triple integral to find the volume:

V = ∫∫∫ dV

The limits of integration in cylindrical coordinates are:

ρ: 0 to 2 (from the equation r^2 + z^2 = 4, we know that ρ^2 = r^2 + z^2)

φ: 0 to 2π (complete azimuthal rotation)

z: 0 to r/3 (from the equation z = r/3)

The integral is then:

V = ∫(from 0 to 2π) ∫(from 0 to 2) ∫(from 0 to r/3) ρ dρ dz dφ

Integrating with respect to ρ first, we get:

V = ∫(from 0 to 2π) ∫(from 0 to 2) [(1/2)ρ^2] (r/3) dz dφ

Next, integrating with respect to z:

V = ∫(from 0 to 2π) [(1/2) (r/3) (z) (from 0 to r/3)] dφ

  = ∫(from 0 to 2π) [(1/2) (r/3) (r/3)] dφ

  = ∫(from 0 to 2π) [(r^2/18)] dφ

Finally, integrating with respect to φ:

V = [(r^2/18) φ] (from 0 to 2π)

  = (r^2/18) (2π - 0)

  = (2π/18) r^2

  = (π/9) r^2

Therefore, the volume of the solid bounded by the surfaces z = √(x^2+y^2)/3 and x^2+y^2+z^2 = 4 is (π/9) times the square of the radius, or (π/9) r^2.

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Vectors & Functions of Several Variables
Let u, v, w, z € R³ where u = (-1,0,1), v = = (2, 1, -3), w = (5, 2, 3), and z = (-2,3,2). Find ||3u · [(2v × w) × 2 × z]||. z]

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||3u · [(2v × w) × 2 × z]|| is approximately equal to 367.61.

To find the magnitude of the vector expression ||3u · [(2v × w) × 2 × z]||, where u, v, w, and z are given vectors, we can calculate the vector operations step by step. The first paragraph will provide the summary of the answer.

Let's break down the given expression step by step to find the magnitude of the resulting vector.

First, calculate the cross product of vectors v and w:

v × w = (2, 1, -3) × (5, 2, 3) = (-7, -19, 9).

Next, multiply the resulting vector by 2:

2 × (v × w) = 2 × (-7, -19, 9) = (-14, -38, 18).

Now, calculate the cross product of the vector obtained above with vector z:

(v × w) × 2 × z = (-14, -38, 18) × (-2, 3, 2) = (-96, -4, -76).

Finally, multiply the resulting vector by 3u:

3u · [(v × w) × 2 × z] = 3(-1, 0, 1) · (-96, -4, -76) = 3(-96, 0, -76) = (-288, 0, -228).

The magnitude of the resulting vector is ||(-288, 0, -228)||, which can be calculated as √(288² + 0² + 228²) = √(82944 + 51984) = √134928 ≈ 367.61.

Therefore, ||3u · [(2v × w) × 2 × z]|| is approximately equal to 367.61.

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The derivative of a function of f at x is given by
f'(x) = lim h→0 provided the limit exists.
Use the definition of the derivative to find the derivative of f(x) = 3x² + 6x +3.
Enter the fully simplified expression for f(x+h) − f (x). Do not factor. Make sure there is a space between variables. f(x+h)-f(x) =

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The fully simplified expression for f(x + h) - f(x) is:

f(x + h) - f(x) = 6hx + 3h² + 6h.

To find the derivative of the function f(x) = 3x² + 6x + 3 using the definition of the derivative, we need to compute the difference quotient: f(x + h) - f(x). Let's substitute the given function into this expression: f(x + h) - f(x) = (3(x + h)² + 6(x + h) + 3) - (3x² + 6x + 3).

Expanding and simplifying: f(x + h) - f(x) = (3(x² + 2hx + h²) + 6x + 6h + 3) - (3x² + 6x + 3). Now, let's distribute the terms and simplify further: f(x + h) - f(x) = 3x² + 6hx + 3h² + 6x + 6h + 3 - 3x² - 6x - 3. Combining like terms, we can cancel out several terms: f(x + h) - f(x) = (6hx + 3h² + 6h). Therefore, the fully simplified expression for f(x + h) - f(x) is: f(x + h) - f(x) = 6hx + 3h² + 6h.

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14 mohmohHW300u 1283) Refer to the LT table. g(t)=f"=(d^2/dt^2)f. Determine tNum, a,b & n. ans: 4 14 maumbInn, Tamaral Cot

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The value of tNum is 5.

The value of a is 5 and b and n are not applicable.

Here, we have,

Given function is f(t)=4cos (5t).

We have to determine tNum, a, b, and n.

F(t)f(s)Region of convergence (ROC)₁.eᵃtU(t-a)₁/(s-a)Re(s) > a₂.eᵃtU(-t)1/(s-a)Re(s) < a₃.u(t-a)cos(bt) s/(s²+b²) |Re(s)| > 0,  where a>0, b>04.u(t-a)sin(bt) b/(s²+b²) |Re(s)| > 0,  where a>0, b>0

Now, we will determine the value of tNum. We can write given function as f(t) = Re(4e⁵ⁿ).

From LT table, the Laplace transform of Re(et) is s/(s²+1).

Therefore, f(t) = Re(4e⁵ⁿ) = Re(4/(s-5)),

so tNum = 5.

The Laplace transform of f(t) is F(s) = 4/s-5.

ROC will be all values of s for which |s| > 5, since this is a right-sided signal.

Therefore, a = 5 and b and n are not applicable.

The value of tNum is 5.

The value of a is 5 and b and n are not applicable.

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(1 point) A car drives down a road in such a way that its velocity (in m/s) at time t (seconds) is v(t) = 3:12 +4. Find the car's average velocity (in m/s) between t = 1 and t = 4. Answer =

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Therefore, the car's average velocity between t = 1 and t = 4 is approximately 20.17 m/s.

To find the car's average velocity between t = 1 and t = 4, we need to calculate the total displacement of the car during that time interval and divide it by the total time.

Given that the velocity function of the car is v(t) = 3t + 12, we can integrate it to find the displacement function.

The displacement function, s(t), is the integral of the velocity function v(t):

s(t) = ∫(3t + 12) dt = (3/2)t² + 12t + C

To find the constant of integration (C), we can use the initial condition s(0) = 0. Since the car's initial position is not provided, we assume it starts at the origin.

s(0) = (3/2)(0)² + 12(0) + C

0 = 0 + 0 + C

C = 0

Therefore, the displacement function becomes:

s(t) = (3/2)t² + 12t

To find the total displacement between t = 1 and t = 4, we can evaluate s(t) at those points and subtract:

Δs = s(4) - s(1)

Δs = [(3/2)(4)² + 12(4)] - [(3/2)(1)² + 12(1)]

Δs = (3/2)(16) + 48 - (3/2) - 12

Δs = 24 + 48 - 3/2 - 12

Δs = 72 - 3/2 - 12

Δs = 60.5 meters

The total displacement of the car between t = 1 and t = 4 is 60.5 meters.

To find the average velocity, we divide the total displacement by the total time:

Average velocity = Δs / Δt = 60.5 / (4 - 1) = 60.5 / 3 ≈ 20.17 m/s

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(c) Given the function F(x) (below), determine it as if it is used to describe the normal distribution of a random measurement error. After whom is that distribution named? What is the value of the expectance u, the standard deviation a and the maximum? Draw the curve as a solid line in a x-y Cartesian coordinate system with y = F(x). Indicate the axes plus the location of relevant characteristic points on the curve and explain their meaning. F(x) = 10. () e (10 marks) (d) The measurement system mentioned has now been improved such that the standard deviation is now half of the original. Write down the new equation and draw in the same diagram an additional curve (dashed line) under otherwise unchanged conditions. (5 marks)

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F(x) represents the cumulative distribution function (CDF) of a normal distribution . The expectance (mean) u, standard deviation a, and maximum value can be determined from the equation [tex]F(x) = 10 * e^{-10x}[/tex].

The equation [tex]F(x) = 10 * e^{-10x}[/tex] represents the CDF of the normal distribution. The expectance u is the mean of the distribution, which in this case is not explicitly given in the equation. The standard deviation a is related to the parameter of the exponential term, where a = 1/10. The maximum value of the CDF occurs at x = -∞, where F(x) approaches 1.

To visualize the distribution, we can plot the curve on a Cartesian coordinate system. The x-axis represents the random variable (measurement error), and the y-axis represents the probability or cumulative probability. The curve starts at (0, 0) and gradually rises, reaching a maximum value of approximately (0, 1). The curve is symmetric, centered around the mean value, with the tails extending towards infinity. Relevant characteristic points include the mean, which represents the central tendency of the distribution, and the standard deviation, which measures the spread or dispersion of the measurements.

If the standard deviation is halved, the new equation and curve can be represented by [tex]F(x) = 10 * e^{-20x}[/tex]. The dashed line curve will be narrower than the solid line curve, indicating a smaller spread or variability in the measurement errors.

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3) Let X, Y and Z be normed linear spaces and let T:X-Y and S:Y→ Z be isometries. Show that S o T is an isometry.

Answers

bTo show that the composition S o T is an isometry, we need to demonstrate that it preserves the norm of vectors. In other words, for any vector x in X, we need to show that ||(S o T)(x)|| = ||x||.

Let's proceed with the proof:

1. Start with an arbitrary vector x in X.

2. Apply the isometry T to x: T(x) is a vector in Y.

3. Apply the isometry S to T(x): S(T(x)) is a vector in Z.

4. Now, we need to show that ||S(T(x))|| = ||x||.

5. By the definition of an isometry, we know that ||T(x)|| = ||x||, since T is an isometry.

6. Similarly, using the same logic, ||S(T(x))|| = ||T(x)||, since S is an isometry.

7. Combining the two previous statements, we have ||S(T(x))|| = ||T(x)|| = ||x||.

8. Therefore, ||S(T(x))|| = ||x||, which shows that S o T is an isometry.

By the above proof, we have demonstrated that if T:X→Y and S:Y→Z are isometries, then the composition S o T is also an isometry.

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Prove Or Disprove That The Set Of Eigenvectors Of Any N By N Matrix, With Real Entries, Span Rn

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The statement that the set of eigenvectors of any n by n matrix with real entries spans Rn is true.

To prove this, we need to show that for any vector v in Rn, there exists a matrix A with real entries such that v is an eigenvector of A. Consider the matrix A = I, the n by n identity matrix. Every vector in Rn is an eigenvector of A with eigenvalue 1 since Av = I v = v for any v in Rn. Therefore, the set of eigenvectors of A spans Rn.

Since any matrix with real entries can be written as a linear combination of the identity matrix and other matrices, and the set of eigenvectors of the identity matrix spans Rn, it follows that the set of eigenvectors of any n by n matrix with real entries also spans Rn.

In summary, the set of eigenvectors of any n by n matrix with real entries spans Rn, as shown by considering the identity matrix and the fact that any matrix with real entries can be expressed as a linear combination of the identity matrix and other matrices.

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Fill in the blank with the correct form of the verb. Be careful to watch for time cues in the sentence to be able to determine the correct form to use.

Yo quiero que ella _____ (hablar) español.

habla
hablará
hable
hablaba

Answers

The answer is Hable

Find the cardinality of the set below and enter your answer in the blank. If your answer is infinite, write "inf" in the blank (without the quotation marks). A x B, where A = {a e Ztla= [2], 1 € B} and B = (–2,2).

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The value of the cardinality of the set A x B is inf

The given sets are A = {a ∈ Z: a = 2} and B = (-2, 2). To find the cardinality of the set A x B, we need to first find the cardinality of A and B.

The cardinality of A = 1, since the set A contains only one element which is 2.

The cardinality of B is infinite, since the set B is an open interval that contains infinitely many real numbers.

Now, the cardinality of A x B is given by the product of the cardinality of A and the cardinality of B.

Cardinality of A x B = Cardinality of A × Cardinality of B= 1 × inf= inf

Hence, the cardinality of the set A x B is inf

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A thick conducting spherical shell has an inner radius of 1 and an outer radius of 2. The outer surface is held at a temperature u(r = 2.0) = 30 cos? 8. The inner surface is held at a temperature u(r = 1,0) = 50° cose. The system is in steady state. ((= (a) Write the temperature on the outer surface as u(r = 2,0) = D.GP(cos 6). ΣΡ(θ). From the fact that this has to be equal to 50 cos2 e. find the coeffi- cients c by inspection. (If you are evaluating integrals, you are doing it wrong.) (b) Write the temperature on the inner surface as u(r= 1,4)= D. d4P(cosa). From the fact that u(r = 1,8) #150cos , find the coefficients d, by uſr = inspection. (c) Comparing the two Legendre polynomial series to the expansion ur, 0) P(cos)[Ayr' + B1/r'+1] (O[+ SD (1) at r = 1 and r = 2, find the coefficients A, and B, for I = 0,1. (You are not being asked to find the coefficients for other values of l.)

Answers

, A0=50 and Al=0.Legendre polynomial series expansion for r=2 and l=0,1:u(r=2,θ)=B0/r+B1/r2+A1r. Therefore, B0=0, B1= -15/2, and A1=0.(a)The temperature on the outer surface as u(r=2.0)=D.GP(cos0).SP(θ) is givenas; u(r=2.0)=30cos8Where D is the constant.

From the fact that this has to be equal to 50 cos2 e, the coefficients c can be found by inspection. Therefore, D=15 and GP(cos0)=cos(8).From the expansion of u(r,θ)= ΣΡ(θ)D.GP(cos0), where l is the degree of the Legendre polynomial and m is the order of the Legendre polynomial. Therefore, D=15 and GP(cos0)=cos(8).(b)The temperature on the inner surface as u(r=1.0)= D. d4P(cosa) is given as;u(r=1.4) = 50cos(e)From the fact that u(r=1.8)#150cos, the coefficients d can be found by inspection. Therefore, D= 25/2 and d=3/2.

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determine the function f satisfying the given conditions. f ' (x) = sin(x) cos(x) f (/2) = 3.5 f (x) = a sinb(x) cosc(x) d, where a > 0.

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The required function is f(x) = 2 sin(x) cos(x) + π/8 + 13/4.

Given the conditions, we have to determine the function f.f'(x) = sin(x) cos(x)......(1)f(/2) = 3.5 ...(2)f(x) = a sinb(x) cosc(x) d, where a > 0 ...(3)

Let us integrate the given function (1) with respect to x.f'(x) = sin(x) cos(x)Let, u = sin(x) and v = -cos(x)∴ du/dx = cos(x) and dv/dx = sin(x)Now, f'(x) = u * dv/dx + v * du/dx= sin(x) * sin(x) + (-cos(x)) * cos(x)= -cos²(x) + sin²(x)= sin²(x) - cos²(x)∴ f(x) = ∫ f'(x) dx= ∫(sin²(x) - cos²(x)) dx= (x/2) - (sin(x) cos(x)/2) + C.

Now, as per condition (2)f(/2) = 3.5⇒ f(π/2) = 3.5∴ (π/2)/2 - (sin(π/2) cos(π/2)/2) + C = 3.5⇒ π/4 - (1/2) + C = 3.5⇒ C = 3.5 - π/4 + 1/2= 3.25 - π/4∴ f(x) = (x/2) - (sin(x) cos(x)/2) + 3.25 - π/4...(4)

Comparing equations (3) and (4), we get:

a sinb(x) cosc(x) d = (x/2) - (sin(x) cos(x)/2) + 3.25 - π/4Let, b = c = 1

and

a = 2.∴ 2 sin(x) cos(x) d = (x/2) - (sin(x) cos(x)/2) + 3.25 - π/4∴ f(x) = 2 sin(x) cos(x) + π/8 + 13/4

Thus, the required function is f(x) = 2 sin(x) cos(x) + π/8 + 13/4.

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Given that, f '(x) = sin(x) cos(x) Let's integrate both sides of the equation:

∫ f '(x) dx = ∫ sin(x) cos(x) dx⇒ f (x) = (sin(x))^2/2 + C ----(1)

Given that f (/2) = 3.5Plug x = /2 in (1):f (/2) = (sin(/2))^2/2 + C= 1/4 + C = 3.5⇒ C = 3.5 - 1/4= 13/4

Therefore, f (x) = (sin(x))^2/2 + 13/4 --- (2)

Also, given that f (x) = a sinb(x) cosc(x) d, where a > 0

We know that sin(x) cos(x) = 1/2 sin(2x)

Therefore, f (x) = a sinb(x) cosc(x) d= a/2 [sin((b + c) x) + sin((b - c) x)] d

Given that, f (x) = (sin(x))^2/2 + 13/4

Comparing both the equations, we get, a/2 [sin((b + c) x) + sin((b - c) x)] d = (sin(x))^2/2 + 13/4

Therefore, b + c = 1 and b - c = 1

Also, we know that a > 0

Therefore, substituting b + c = 1 and b - c = 1, we get b = 1, c = 0

Substituting b = 1 and c = 0 in the equation f (x) = a sinb(x) cosc(x) d, we get f(x) = a sin(1x) cos(0x) d = a sin(x)

Thus, the function f satisfying the given conditions is f(x) = (sin(x))^2/2 + 13/4.

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