A snowboarder slides up from the bottom of a half-pipe and comes down again, sliding with little resistance on the snow. Her height above the top edge of the pipe t seconds after starting up the side is -4.9 t2 + 11 t - 4. (a) What is her height at t = 0? Choose one Her height at t= 0 is 4 meters the edge of the half-pipe. (b) After how many seconds does she reach the top edge? Return to the edge of the pipe? NOTE: Give numerical answers accurate to 3 decimal places. She reaches the top of the edge after seconds. She returns to the edge of the pipe when t = seconds. (c) How long is she in the air? NOTE: Give your answer accurate to 3 decimal place

A vector that points in a direction of no change at P is: v = (-2 / √5, 1 / √5) b unit vector in the direction of steepest ascent at P is: u = (-4 / (2√5), -2 / (2√5)) = (-2 / √5, -1 / √5) a  unit vector in the direction of steepest ascent at P is: u = (-4 / (2√5), -2 / (2√5)) = (-2 / √5, -1 / √5)

To find the unit vectors that give the direction of steepest ascent and steepest descent at point P(-1, 1), we need to consider the gradient vector of the function f(x, y) = 3x^4 - 4x²y + y² + 7 evaluated at point P.

a. Direction of Steepest Ascent: The direction of steepest ascent is given by the gradient vector ∇f evaluated at P, normalized to a unit vector. First, let's find the gradient vector ∇f: ∇f = [∂f/∂x, ∂f/∂y] Taking partial derivatives of f with respect to x and y: ∂f/∂x = 12x³ - 8xy ∂f/∂y = -4x² + 2y

Evaluating the gradient vector ∇f at P(-1, 1): ∇f(P) = [12(-1)³ - 8(-1)(1), -4(-1)² + 2(1)] = [-12 + 8, -4 + 2] = [-4, -2] Now, we normalize the gradient vector ∇f(P) to obtain the unit vector in the direction of steepest ascent: u = (∇f(P)) / ||∇f(P)|| Calculating the magnitude of ∇f(P): ||∇f(P)|| = sqrt((-4)² + (-2)²) = sqrt(16 + 4) = sqrt(20) = 2√5

Therefore, the unit vector in the direction of steepest ascent at P is: u = (-4 / (2√5), -2 / (2√5)) = (-2 / √5, -1 / √5)

b. Direction of No Change: To find a vector that points in a direction of no change in the function at P, we can take the perpendicular vector to the gradient vector ∇f(P). We can do this by swapping the components and changing the sign of one component.

Thus, a vector that points in a direction of no change at P is: v = (-2 / √5, 1 / √5)

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By setting the Euclidean inner product between the given vectors equal to zero, we find that they are orthogonal when k = -1.

In part (d) of the question, we are asked to determine the values of k for which the given vectors are orthogonal with respect to the Euclidean inner product in the space C[-1,1].

(i) For vectors u = (-4, k, k, 1) and v = (1, 2, k, 5), we calculate their Euclidean inner product as (-4)(1) + (k)(2) + (k)(k) + (1)(5) = -4 + 2k + k^2 + 5. To find the values of k for which the vectors are orthogonal, we set this inner product equal to zero: -4 + 2k + k^2 + 5 = 0. Simplifying the equation, we get k^2 + 2k + 1 = 0, which has a single solution: k = -1.

(ii) For vectors u = (5, -2, k, k) and v = (1, 2, k, 5), we calculate their Euclidean inner product as (5)(1) + (-2)(2) + (k)(k) + (k)(5) = 5 - 4 - 2k + 5k. Setting this inner product equal to zero, we obtain k = -1 as the solution.

Hence, for both cases (i) and (ii), the vectors u and v are orthogonal when k = -1 with respect to the Euclidean inner product in the given space.

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The length of s is 10. 9ft

Length of r is 11. 0 ft

Using the Pythagorean theorem which states that the square of the longest leg of a triangle is equal to the square of the other sides of the triangle.

From the information given in the diagram, we have;

The opposite side = 3ft

the adjacent side = 10. 5ft

The hypotenuse = s

Then,

s²= 3² + 10.5²

find the squares

s² = 9 + 110. 25

Add the values

s = 10. 9ft

r² =10. 5² + 3.5²

Find the squares

r² = 122. 5

r = 11. 0 ft

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The value of CF · dr is 72

To calculate the line;

We have that;

Let the parameterized C be written as;

r(t) = (x(t), y(t)), where a ≤ t ≤ b.

By applying Green's theorem, the line integral can be transformed into a double integral over the D region.

CF · dr = ∫∫ D(dQ/dx - dP/dy) dA

Given that F(x, y) = (P(x, y), Q(x, y))

Substitute the values, we have;

F(x, y) = (x³ + y, 9x - y⁴).

Then, we get the expressions as;

P(x, y) = x³ + y

Q(x, y) = 9x - y⁴

Find the partial differentiation for both x and y, we get;

For y

dQ/dy = 9

For x

dP/dy = 1

Put in the values into the formula for double integral formula

CF · dr = ∬D(9 - 1) dA

CF · dr = ∬D8 dA

Add the value of area as 9

= 8(9)

Multiply the values

= 72

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Answer:

  4sin(74°)

Step-by-step explanation:

You want 8·sin(37°)cos(37°) expressed using a single trig function.

The double angle formula for sine is ...

  sin(2α) = 2sin(α)cos(α)

Comparing this to the given expression, we see ...

  4·sin(2·37°) = 4(2·sin(37°)cos(37°))

  4·sin(74°) = 8·sin(37°)cos(37°)

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The expression 8sin37°cos37° can be simplified to 4sin16°, which is the final answer in a single trigonometric function.

What is the trigonometric ratio?

the trigonometric functions are real functions that relate an angle of a right-angled triangle to ratios of two side lengths. They are widely used in all sciences that are related to geometry, such as navigation, solid mechanics, celestial mechanics, geodesy, and many others.

The expression 8sin37°cos37° can be simplified using the double-angle identity for sine:

sin2θ=2sinθcosθ

Applying this identity, we have:

8sin37°cos37°=8⋅ 1/2 ⋅sin74°

Now, using the sine of the complementary angle, we have:

8⋅ 1/2 ⋅sin74° = 4⋅sin16°

Therefore, the expression 8sin37°cos37° can be simplified to 4sin16°, which is the final answer in a single trigonometric function.

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The volume of the solid generated by revolving the region bounded by y=2x^2, y=0, and x=4 about the x-axis is (128π/15) cubic units.

To find the volume of the solid, we can use the method of cylindrical shells. The volume of each shell can be calculated as the product of the circumference of the shell, the height of the shell, and the thickness of the shell. In this case, the height of each shell is given by y=2x^2, and the thickness is denoted by dx.

We integrate the volume of each shell from x=0 to x=4:

V = ∫[0,4] 2πx(2x^2) dx.

Simplifying, we get:

V = 4π ∫[0,4] x^3 dx.

Evaluating the integral, we have:

V = 4π [(1/4)x^4] | [0,4].

Plugging in the limits of integration, we obtain:

V = 4π [(1/4)(4^4) - (1/4)(0^4)].

Simplifying further:

V = 4π [(1/4)(256)].

V = (256π/4).

Reducing the fraction, we have:

V = (64π/1).

Therefore, the volume of the solid generated by revolving the region bounded by y=2x^2, y=0, and x=4 about the x-axis is (128π/15) cubic units.

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To determine if the sequence cₙ = 1/(2ₙ + n) is convergent, we observe that as n increases, the value of each term decreases. As n approaches infinity, the term cₙ approaches zero. Therefore, the sequence is convergent, and its limit is zero.

To determine if the sequence cₙ = 1/(2ₙ + n) is convergent, we need to analyze the behavior of the terms as n approaches infinity.

Let's examine the behavior of the sequence:

c₁ = 1/(2 + 1) = 1/3

c₂ = 1/(2(2) + 2) = 1/6

c₃ = 1/(2(3) + 3) = 1/9

...

As n increases, the denominator (2ₙ + n) grows larger. Since the denominator is increasing, the value of each term cₙ decreases.

Now, let's consider what happens as n approaches infinity. In the expression 1/(2ₙ + n), as n gets larger and larger, the effect of n on the denominator diminishes. The dominant term becomes 2ₙ, and the expression approaches 1/(2ₙ).

We can see that the term cₙ is inversely proportional to 2ₙ. As n approaches infinity, 2ₙ also increases indefinitely. Consequently, cₙ approaches zero because 1 divided by a very large number is effectively zero.

Therefore, the sequence cₙ = 1/(2ₙ + n) is convergent, and its limit is zero.

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(a) The trace of a matrix is the sum of its diagonal elements. For a matrix A, the trace of AT A is the sum of the squared elements of A.

In Example 3, where the trace of AT A is 50, it means that the sum of the squared elements of A is 50. This is because AT A is a symmetric matrix, and its diagonal elements are the squared elements of A. Therefore, the trace of AT A is equal to the sum of all the squared elements of A.

(b) For a rank-one matrix, every column can be written as a scalar multiple of a single vector. Let's consider a rank-one matrix A with columns represented by vectors a1, a2, ..., an. The sum of all the squared elements of A can be written as a1a1T + a2a2T + ... + ananT.

Since each column can be expressed as a scalar multiple of a single vector, say a, we can rewrite the sum as aaT + aaT + ... + aaT, which is equal to n times aaT. Therefore, the sum of all the squared elements of a rank-one matrix is equal to the product of the scalar n and aaT, which is oỉ = n(aaT).

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The correct description that defines the prism square is option B: "Is another hand instrument that is also used to determine or set out right angles."

A prism square is a tool used in construction and woodworking to establish or verify right angles. It consists of a triangular-shaped body with a 90-degree angle and two perpendicular sides. The edges of the prism square are straight and typically have measurement markings. It is commonly used in carpentry, masonry, and other trades where precise right angles are essential for accurate and square construction. Option A describes a different tool involving mirrors set at an angle, which is not related to the prism square. Option C refers to a different instrument used for measuring slopes and is not directly related to the prism square.

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The Taylor Polynomial of degree 2 for the given function centered at a is as follows: The Taylor polynomial of degree 2 for the given function is given by, P2(x) = 1 - 25(x - 2)²/2.

Given function is fu)= cos(5x)We need to find the Taylor Polynomial of degree 2 for the given function centered at the given number a = 2T. To find the Taylor Polynomial of degree 2, we need to find the first two derivatives of the given function. f(x) = cos(5x)f'(x) = -5sin(5x)f''(x) = -25cos(5x)We substitute a = 2T, f(2T) = cos(10T), f'(2T) = -5sin(10T), f''(2T) = -25cos(10T) Now, we use the Taylor's series formula for degree 2:$$P_{2}(x)=f(a)+f'(a)(x-a)+f''(a)\frac{(x-a)^{2}}{2!}$$$$P_{2}(2T)=f(2T)+f'(2T)(x-2T)+f''(2T)\frac{(x-2T)^{2}}{2!}$$By plugging in the values, we get;$$P_{2}(2T)=cos(10T)-5sin(10T)(x-2T)-25cos(10T)\frac{(x-2T)^{2}}{2}$$$$P_{2}(2T)=1-25(x-2)^{2}/2$$Therefore, the Taylor polynomial of degree 2 for the given function centered at a = 2T is P2(x) = 1 - 25(x - 2)²/2.

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To solve the initial-value problem y'' + 4y' + 3y = 0 with initial conditions y(0) = 1 and y'(0) = 0 using Laplace transform, we will first take the Laplace transform of the given differential equation and convert it into an algebraic equation in the Laplace domain.

Taking the Laplace transform of the given differential equation, we have s^2Y(s) - sy(0) - y'(0) + 4(sY(s) - y(0)) + 3Y(s) = 0, where Y(s) is the Laplace transform of y(t).

Substituting the initial conditions y(0) = 1 and y'(0) = 0 into the equation, we get the following algebraic equation: (s^2 + 4s + 3)Y(s) - s - 4 = 0.

Solving this equation for Y(s), we find Y(s) = (s + 4)/(s^2 + 4s + 3).

To find y(t), we need to take the inverse Laplace transform of Y(s). By using partial fraction decomposition or completing the square, we can rewrite Y(s) as Y(s) = 1/(s + 1) - 1/(s + 3).

Applying the inverse Laplace transform to each term, we obtain y(t) = e^(-t) - e^(-3t).

Therefore, the solution to the initial-value problem is y(t) = e^(-t) - e^(-3t)

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The future value of the ordinary annuity is approximately $18,199.17. The future value of the ordinary annuity can be calculated by using the formula for the future value of an ordinary annuity.

In this case, the payment (PMT) is $2,200, the interest rate (1.00%) is divided by 100 and compounded monthly, and the time period is 7 years. To find the future value of the ordinary annuity, we can use the formula:

FV = PMT * ((1 + r)^n - 1) / r,

where FV is the future value, PMT is the periodic payment, r is the interest rate per compounding period, and n is the number of compounding periods. In this case, the payment (PMT) is $2,200, the interest rate (1.00%) is divided by 100 and compounded monthly, and the time period is 7 years. We need to convert the time period to the number of compounding periods by multiplying 7 years by 12 months per year, giving us 84 months. Substituting the values into the formula, we have:

FV = $2,200 * ((1 + 0.01/12)^84 - 1) / (0.01/12).

Evaluating this expression, we find that the future value of the ordinary annuity is approximately $18,199.17. It is important to note that the final answer should be rounded to the nearest cent, as specified in the question.

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The coordinates which vertex T would be placed to create triangle STU, a triangle similar to triangle PQR is: B. (16, 12).

In Mathematics and Geometry, two (2) triangles are said to be similar when the ratio of their corresponding side lengths are equal and their corresponding angles are congruent.

Additionally, the corresponding side lengths are proportional to the lengths of corresponding altitudes when two (2) triangles are similar.

Based on the side, side, side (SSS) similarity theorem, we can logically deduce the following:

ΔSTU ≅ Δ PQR

ΔMSU = 2ΔMPR

ΔMST = 2ΔMPQ

Therefore, we have:

T = 2(8, 6)

T = (16, 12)

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To evaluate the improper integral ∫(x²)dx or determine if it diverges, we first integrate the function.

∫(x²)dx = (1/3)x³+ C,

where C is the constant of integration.

Now, let's analyze the behavior of the integral at the boundaries to determine if it converges or diverges.

Case 1: Integrating from negative infinity to positive infinity (∫[-∞, ∞] (x²)dx):

For this case, we evaluate the limits of the integral at the boundaries:

∫[-∞, ∞] (x²)dx = lim┬(a→-∞)⁡〖(1/3)x³ 〗-lim┬(b→∞)⁡〖(1/3)x³ 〗.

As x³ grows without bound as x approaches either positive or negative infinity, both limits diverge to infinity. Therefore, the integral from negative infinity to positive infinity (∫[-∞, ∞] (x²)dx) diverges.

Case 2: Integrating from a finite value to positive infinity (∫[a, ∞] (x²dx):

For this case, we evaluate the limits of the integral at the boundaries:

∫[a, ∞] (x²)dx = lim┬(b→∞)⁡〖(1/3)x² 〗-lim┬(a→a)⁡〖(1/3)x² 〗.

The first limit diverges to infinity as x^3 grows without bound as x approaches infinity. However, the second limit evaluates to a finite value of (1/3)a², as long as a is not negative infinity.

Hence, if a is a finite value, the integral from a to positive infinity (∫[a, ∞] (x²)dx) diverges.

In summary, the improper integral of ∫(x²)dx diverges, regardless of whether it is integrated from negative infinity to positive infinity or from a finite value to positive infinity.

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The limit of the given expression as h approaches 6 is -11/6. This means that as h gets arbitrarily close to 6, the value of the expression approaches Answer : -11/6.

To find the limit, we first simplified the expression by combining like terms and distributing the negative sign. Then, we substituted the value h = 6 into the expression. Finally, we evaluated the resulting expression to obtain -11/6 as the limit.

To evaluate the limit, let's rewrite the expression in a more readable format:

lim (h -> 6) [(12 - 100)/(4 + 2 + 30t - 100(6 - h))]

We can simplify the expression:

lim (h -> 6) [-88/(6h + 112 - 100)]

Now, let's substitute the value of h = 6 into the expression:

lim (h -> 6) [-88/(36 + 112 - 100)]

= lim (h -> 6) [-88/48]

= -88/48

This expression can be further simplified:

-88/48 = -11/6

Therefore, the limit of the given expression as h approaches 6 is -11/6.

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The length of the polar curve is obtained by integrating the formula of arc length which is r(θ)²+ (dr/dθ)².

The given polar curve equation is r = a sin 6θ. To determine the length of the polar curve, we will use the formula of arc length. The formula is expressed as follows: L = ∫[a, b] √[r(θ)² + (dr/dθ)²] dθTo apply the formula, we need to find the derivative of r(θ) using the chain rule. Let u = 6θ and v = sin u. Then, we get dr/dθ = dr/du * du/dθ = 6a cos(6θ)Using the formula of arc length, we have L = ∫[0, 2π] √[a²sin²(6θ) + 36a²cos²(6θ)] dθSimplifying the expression, we get L = a∫[0, 2π] √[sin²(6θ) + 36cos²(6θ)] dθUsing the trigonometric identity cos²θ + sin²θ = 1, we can rewrite the expression as L = a∫[0, 2π] √[1 + 35cos²(6θ)] dθUsing the trigonometric substitution u = 6θ and du = 6 dθ, we can further simplify the expression as L = (a/6) ∫[0, 12π] √[1 + 35cos²u] du Unfortunately, we cannot obtain a closed-form solution for this integral. Hence, we must use numerical methods such as Simpson's rule or the trapezoidal rule to approximate the value of L.

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To compute the Riemann sum of the function [tex]f(x) = x^3[/tex] over the interval [7, 8], the representative points to be the midpoints of the subintervals. The number of subintervals (n) will determine the accuracy of the approximation.

The Riemann sum is an approximation of the definite integral of a function over an interval using rectangles. To compute the Riemann sum with midpoints, we divide the interval [7, 8] into n subintervals of equal width.

The width of each subinterval is given by Δ[tex]x = (b - a) / n[/tex], where a = 7 and b = 8 are the endpoints of the interval.

The midpoint of each subinterval is given by [tex]x_i = a + (i - 1/2)[/tex]Δx, where i ranges from 1 to n.

Next, we evaluate the function f at each midpoint: [tex]f(x_i) = (x_i)^3[/tex].

Finally, we compute the Riemann sum as the sum of the areas of the rectangles: Riemann sum = Δ[tex]x * (f(x_1) + f(x_2) + ... + f(x_n))[/tex].

The number of subintervals (n) determines the accuracy of the approximation. As n increases, the Riemann sum becomes a better approximation of the definite integral.

In conclusion, to compute the Riemann sum of [tex]f(x) = x^3[/tex] over the interval [7, 8] with midpoints, we divide the interval into n subintervals, compute the representative points as the midpoints of the subintervals, evaluate the function at each midpoint, and sum up the areas of the rectangles. The value of n determines the accuracy of the approximation.

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The function that represents the instantaneous rate of change of the hours of daylight in Toronto is h'(t) = 8.43 * cos(3(t - 78)).

To find the function that represents the instantaneous rate of change of the hours of daylight in Toronto, we need to take the derivative of the given function, h(t) = 2.81sin(3(t - 78)) + 12.2, with respect to time (t).

Let's proceed with the calculation:

h(t) = 2.81sin(3(t - 78)) + 12.2

Taking the derivative with respect to t:

h'(t) = 2.81 * 3 * cos(3(t - 78))

Simplifying further:

h'(t) = 8.43 * cos(3(t - 78))

Therefore, the function that represents the instantaneous rate of change of the hours of daylight in Toronto is h'(t) = 8.43 * cos(3(t - 78)).

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The missing values of the equations are: a).  log(70) = log(11), b)  log(1/9) = log(1/3^2), c) log(25) = 2 x log(5).

(a) Using the logarithmic identity log(a) + log(b) = log(ab), we can simplify the left side of the equation to log(7 x 10) = log(70). Therefore, the completed equation is log(70) = log(11).
(b) Using the logarithmic identity log(a) - log(b) = log(a/b), we can simplify the left side of the equation to log(1/9) = log(1/3^2). Therefore, the completed equation is log(1/9) = log(1/3^2).
(c) The equation log(25) = log(5) can be simplified further using the logarithmic identity log(a^b) = b x log(a). Applying this identity, we get log(5^2) = 2 x log(5). Therefore, the completed equation is log(25) = 2 x log(5).
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Using the Poisson paradigm, the probability that all 10 missiles are hit is approximately 0.0000001016.

To inexact the likelihood that every one of the 10 rockets are hit, we can utilize the Poisson worldview. When events are rare and independent, the Poisson distribution is frequently used to model the number of events occurring in a fixed time or space.

We can think of each missile strike as an independent event in this scenario, with a 0.1 chance of succeeding (hitting the target). We should characterize X as the quantity of hits among the 10 rockets.

Since the likelihood of hitting a rocket is 0.1, the likelihood of not hitting a rocket is 0.9. Thusly, the likelihood of every one of the 10 rockets being hit can be determined as:

P(X = 10) = (0.1)10  0.00000001 This probability is extremely low, and directly calculating it may require a lot of computing power. However, the Poisson distribution enables us to approximate this probability in accordance with the Poisson paradigm.

The average number of events in a given interval in the Poisson distribution is  (lambda). For our situation, λ would be the normal number of hits among the 10 rockets.

The probability of having all ten missiles hit can be approximated using the Poisson distribution as follows: = (number of trials) * (probability of success) = 10 * 0.1 = 1.

P(X = 10) ≈ e^(-λ) * (λ^10) / 10!

where e is the numerical steady around equivalent to 2.71828 and 10! is the ten-factor factorial.

P(X = 10) ≈ e^(-1) * (1^10) / 10!

P(X = 10) = 0.367879 * 1 / (3628800) P(X = 10) = 0.0000001016 According to the Poisson model, the likelihood of hitting all ten missiles is about 0.0000001016.

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Answer:

(a) To find the possible rational zeros of the polynomial function h(x) = 3x^3 - 7x^2 - 22x + 8, we use the Rational Root Theorem. The possible rational zeros are the factors of the constant term (8) divided by the factors of the leading coefficient (3). Therefore, the possible rational zeros are ±1, ±2, ±4, ±8.

(b) To show that 4 is a zero of the given function, we can use long division. Divide the polynomial h(x) by (x - 4) using long division, and if the remainder is zero, then 4 is a zero of the function.

Step-by-step explanation:

(a) To find the possible rational zeros of the polynomial function h(x) = 3x^3 - 7x^2 - 22x + 8, we use the Rational Root Theorem. According to the theorem, the possible rational zeros are all the factors of the constant term (8) divided by the factors of the leading coefficient (3). The factors of 8 are ±1, ±2, ±4, ±8, and the factors of 3 are ±1, ±3. By dividing these factors, we get the possible rational zeros: ±1, ±2, ±4, ±8.

(b) To show that 4 is a zero of the given function, we perform long division. Divide the polynomial h(x) = 3x^3 - 7x^2 - 22x + 8 by (x - 4) using long division. The long division process will show that the remainder is zero, indicating that 4 is a zero of the function.

Performing the long division:

3x^2 + 5x - 2

x - 4 | 3x^3 - 7x^2 - 22x + 8

-(3x^3 - 12x^2)

___________________

5x^2 - 22x + 8

-(5x^2 - 20x)

______________

-2x + 8

-(-2x + 8)

_______________

0

The long division shows that when we divide h(x) by (x - 4), the remainder is zero, confirming that 4 is a zero of the function

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In question 10, the solution of the given system of differential equations is needed. In question 9, the solution of a single differential equation with initial conditions is required. In question 3, the solution of a simple differential equation is needed. Lastly, in question 4, the solution of a first-order linear differential equation is sought.

10. The system of differential equations x' = 3x - 3y and y = 6x - 3y can be solved using various methods, such as substitution or matrix operations, to obtain the solutions for x and y as functions of time.

11. The differential equation y - 6y' + 9y = 1 can be solved using techniques like the method of undetermined coefficients or variation of parameters. The initial conditions y(0) = 0 and y'(0) = 1 can be used to determine the particular solution that satisfies the given initial conditions.

12. The differential equation y + y = 0 represents a simple first-order linear homogeneous equation. The general solution can be obtained by assuming y = e^(rx) and solving for the values of r that satisfy the equation. The solution will be in the form y = C1e^(rx) + C2e^(-rx), where C1 and C2 are constants determined by any additional conditions.

13. The differential equation y cos(x) + (4 + 2y sin(x))y' = 0 is a first-order nonlinear equation. Various methods can be used to solve it, such as separation of variables or integrating factors. The resulting solution will depend on the specific form of the equation and any initial or boundary conditions provided.

Each of these differential equations requires a different approach to obtain the solutions based on their specific forms and conditions.

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The limit lim(x→∞) x*e^(-bx) is 0. . The limit of lim(x→∞) x*e^(-bx) is not always 0. It depends on the value of b.

a) To find the limit lim(x→0) cos(x) - 1, we can directly substitute x = 0 into the expression:

lim(x→0) cos(x) - 1 = cos(0) - 1 = 1 - 1 = 0.

Therefore, the limit lim(x→0) cos(x) - 1 is 0.

b) To find the limit lim(x→∞) x*e^(-bx), where b is a constant, we can use L'Hôpital's rule:

lim(x→∞) x*e^(-bx) = lim(x→∞) [x / e^(bx)].

Taking the derivative of the numerator and denominator with respect to x, we get:

lim(x→∞) [1 / b*e^(bx)].

Now, we can take the limit as x approaches infinity:

lim(x→∞) [1 / be^(bx)] = 0 / be^(b*∞) = 0.

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The values of k that satisfy the differential equation 64y" = -81y for the function y = cos(kt) are k = -4/3 and k = 4/3.

To determine the values of k that satisfy the given differential equation, we need to substitute the function y = cos(kt) into the equation and solve for k.

First, we find the second derivative of y with respect to t. Taking the derivative of y = cos(kt) twice, we obtain y" = -k^2 * cos(kt).

Next, we substitute the expressions for y" and y into the differential equation 64y" = -81y:

64(-k^2 * cos(kt)) = -81*cos(kt).

Simplifying the equation, we get -64k^2 * cos(kt) = -81*cos(kt).

We can divide both sides of the equation by cos(kt) since it is nonzero for all values of t. This gives us -64k^2 = -81.

Finally, solving for k, we find two possible values: k = -4/3 and k = 4/3.

Therefore, the smaller value of k is -4/3 and the larger value of k is 4/3, which satisfy the given differential equation for the function y = cos(kt).

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The function is continuous on the interval (-1, ∞).

To determine the interval(s) on which the function is continuous, we need to examine the properties of each component of the function separately.

The function f(x) consists of two components: x^2 - 7 and x + 2.

The quadratic term x^2 - 7 is continuous everywhere since it is a polynomial function.

The linear term x + 2 is also continuous everywhere since it is a linear function.

To find the interval on which the function f(x) is continuous, we need to consider the intersection of the intervals on which each component is continuous.

For x^2 - 7, there are no restrictions or limitations on the domain.

For x + 2, the only restriction is that x > -1, as stated in the given condition.

Therefore, the interval on which the function f(x) is continuous is (-1, ∞) in interval notation.

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The particle has a time-varying acceleration of 30t + 6 inches per square second, and its initial position and velocity are given as 4 inches and 15 inches per second, respectively.

The acceleration given by a(t) = 30t + 6 is a function of time and increases linearly with t. To obtain the velocity v(t) at any time t, we need to integrate the acceleration function with respect to time, which gives v(t) = 15 + 15t^2 + 6t.

The initial velocity v(0) = 15 inches per second is given, so we can find the position function s(t) by integrating v(t) with respect to time, which yields s(t) = 4 + 15t + 5t^3 + 3t^2.

The initial position s(0) = 4 inches is also given. Therefore, the complete description of the particle's motion at any time t is given by the position function s(t) = 4 + 15t + 5t^3 + 3t^2 inches and the velocity function v(t) = 15 + 15t^2 + 6t inches per second, with the acceleration function a(t) = 30t + 6 inches per square second.

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The equation of the parabola that has x-intercepts of -1 and 5, and a minimum value of -1 is [tex]y = (1/9)(x - 2)^2 - 1.[/tex]

To find the equation of a parabola with the given characteristics, we can start by using the vertex form of a quadratic equation:

[tex]y = a(x - h)^2 + k[/tex]

Where (h, k) represents the vertex of the parabola. Since the parabola has a minimum value, the vertex will be at the lowest point on the graph.

Given that the x-intercepts are -1 and 5, we can deduce that the vertex lies on the axis of symmetry, which is the average of the x-intercepts:

Axis of symmetry = (x-intercept1 + x-intercept2) / 2

= (-1 + 5) / 2

= 4 / 2

= 2

So, the x-coordinate of the vertex is 2.

Since the minimum value of the parabola is -1, we know that k = -1.

Substituting the vertex coordinates (h, k) = (2, -1) into the vertex form equation:

[tex]y = a(x - 2)^2 - 1[/tex]

Now we need to determine the value of "a" to complete the equation. To find "a," we can use one of the x-intercepts and solve for it.

Let's use the x-intercept of -1:

[tex]0 = a(-1 - 2)^2 - 1\\0 = a(-3)^2 - 1[/tex]

0 = 9a - 1

1 = 9a

a = 1/9

Substituting the value of "a" into the equation:

[tex]y = (1/9)(x - 2)^2 - 1[/tex]

Therefore, the equation of the parabola that has x-intercepts of -1 and 5, and a minimum value of -1 is:

[tex]y = (1/9)(x - 2)^2 - 1.[/tex]

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a) 24 is the correct answer for the limit b) 2x + 8/2x + 5 c) the limit as x approaches 0 is equal to 3.

Given the following limits:a) [tex]2x^2 - 8[/tex] lim X-4x+2 b) lim 2x+5x+3 c) lim 2x+3

A limit is a fundamental notion in mathematics that is used to describe how a function or sequence behaves as its input approaches a specific value or as it advances towards infinity or negative infinity.

a) To find the limit, substitute x = 4 in [tex]2x^2 - 8[/tex]to obtain the value of the limit:2[tex](4)^2[/tex] - 8 = 24

Thus, the limit as x approaches 4 is equal to 24.b) To find the limit, add the numerator and denominator 2x + 5 + 3/2 to obtain the value of the limit:2x + 8/2x + 5

Thus, the limit as x approaches infinity is equal to 1.c) To find the limit, substitute x = 0 in 2x + 3 to obtain the value of the limit:2(0) + 3 = 3Thus, the limit as x approaches 0 is equal to 3.

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We would have the exponents as;

1. x^7/4

2. 2^1/12

3. 81y^8z^20

4. 200x^5y^18

A type of mathematical notation known as an exponent is used to represent the size of a number raised to a specific power or the repeated multiplication of a single integer. Powers and indexes are other names for exponents. They are used as a simplified form of repeated multiplication.

Given that that;

1) 4√x^3 . x

x^3/4 * x

= x^7/4

2) In the second problem;

3√2 ÷ 4√2

2^1/3 -2^1/4

2^1/12

3) In the third problem;

(3y^2z^5)^4

81y^8z^20

4) In the fourth problem;

(5xy^3)^2 . (2xy^4)^3

25x^2y^6 . 8x^3y^12

200x^5y^18

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At a unit price of $30, the consumer surplus is approximately $300.

To calculate the consumer surplus at the indicated unit price, we need to integrate the demand function up to that price and subtract it from the total area under the demand curve.

Given the demand equation: p = 70 - 9Q, where p represents the unit price and Q represents the quantity demanded, we can solve the equation for Q:

p = 70 - 9Q

9Q = 70 - p

Q = (70 - p)/9

To find the consumer surplus at a unit price of p, we integrate the demand function from Q = 0 to Q = (70 - p)/9:

Consumer Surplus = ∫[0, (70 - p)/9] (70 - 9Q) dQ

Integrating the demand function, we have:

Consumer Surplus = [70Q - (9/2)Q^2] |[0, (70 - p)/9]

               = [70(70 - p)/9 - (9/2)((70 - p)/9)^2] - [0]

               = (70(70 - p)/9 - (9/2)((70 - p)/9)^2)

To calculate the consumer surplus at a specific unit price, let's consider the example where p = 30:

Consumer Surplus = (70(70 - 30)/9 - (9/2)((70 - 30)/9)^2)

               = (70(40)/9 - (9/2)(10/9)^2)

               = (2800/9 - (9/2)(100/81))

               = (2800/9 - 100/9)

               = 2700/9

               ≈ 300

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