Consider the set S={f1,f2,f3} where f1(t)=t2−2t−3,f2(t)=t2−4t−2 and f3(t)=t2+2t−5 a) Determine if f is in the span of S, where f(t)=t2−t−1. Provide a clear justification.
b) Determine if S is a set of linearly independent functions or not. Can S span P2 ? Explain what is the set Span{f1,f2,f3}. Provide a clear justification.

The quadratic equation -3x^2 + 5x + 5 = 0 has no real solutions.

To find all the solutions to the quadratic equation -3x^2 + 5x + 5 = 0, we can use the quadratic formula. The quadratic formula states that for an equation of the form ax^2 + bx + c = 0, the solutions can be found using the formula:

x = (-b ± √(b^2 - 4ac))/(2a)

In our equation, a = -3, b = 5, and c = 5. Plugging these values into the quadratic formula, we have:

x = (-5 ± √(5^2 - 4(-3)(5)))/(2(-3))

Simplifying this expression, we get:

x = (-5 ± √(25 + 60))/(-6)
x = (-5 ± √(85))/(-6)

Now, let's simplify the expression under the square root:

x = (-5 ± √(85))/(-6)

Since we have a negative sign in front of the square root, this means that we have no real solutions for x. This is because the expression under the square root, 85, is positive, so we cannot take the square root of a negative number in real numbers.

Therefore, the quadratic equation -3x^2 + 5x + 5 = 0 has no real solutions.

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a) To calculate the annual demand, you need to use the last digit of your student number. Let's say your student number is BBAW190102 and the last digit is 2. The formula to calculate the annual demand is 400 + 10 * the last digit. In this case, it would be 400 + 10 * 2 = 420.

b) To calculate the weekly demand forecast for 2021, you need to divide the annual demand by the number of weeks in a year (52). So, the weekly demand forecast would be 420 / 52 = 8.08 (rounded to two decimal places).

c) The economic order quantity (EOQ) can be calculated using the formula EOQ = sqrt((2 * D * S) / H), where D is the annual demand and S is the ordering cost. In this case, D is 420 and S is $1000. Plugging in these values, the calculation would be EOQ = sqrt((2 * 420 * 1000) / 500) = sqrt(1680000) = 1297.77 (rounded to two decimal places).

d) The reorder point is the level of inventory at which a new order should be placed. It can be calculated using the formula Reorder Point = D * LT, where D is the demand during lead time and LT is the lead time. In this case, D is 420 and LT is 4 weeks. So, the reorder point would be 420 * 4 = 1680. The safety stock is the buffer stock kept to mitigate uncertainties. It can be calculated by multiplying the standard deviation of weekly demand (10) by the square root of lead time (4). So, the safety stock would be 10 * sqrt(4) = 20.

e) The total annual cost of managing inventory can be calculated using the formula TC = (D/Q) * S + (H * (Q/2 + SS)), where D is the annual demand, Q is the order quantity, S is the ordering cost, H is the annual holding cost, and SS is the safety stock. Plugging in the values, the calculation would be TC = (420/1297.77) * 1000 + (500 * (1297.77/2 + 20)) = 323.95 + 674137.79 = 674461.74.

f) The pipeline inventory is the inventory that is in transit or being delivered. It includes the inventory that has been ordered but has not yet arrived. In this case, since the lead time is 4 weeks and the order quantity is EOQ (1297.77), the pipeline inventory would be 4 * 1297.77 = 5191.08 (rounded to two decimal places).

g) To achieve a 95% cycle service level, you need to calculate the new safety stock and reorder point. The new safety stock can be calculated by multiplying the standard deviation of weekly demand (10) by the appropriate Z value for a 95% service level, which is 1.65. So, the new safety stock would be 10 * 1.65 = 16.5 (rounded to one decimal place). The new reorder point would be the sum of the annual demand (420) and the new safety stock (16.5), which is 420 + 16.5 = 436.5 (rounded to one decimal place).

In summary:
a) The annual demand is 420.
b) The weekly demand forecast for 2021 is 8.08.
c) The economic order quantity (EOQ) is 1297.77.
d) The reorder point is 1680 and the safety stock is 20.
e) The total annual cost of managing inventory is 674461.74.
f) The pipeline inventory is 5191.08.
g) The new safety stock for a 95% cycle service level is 16.5 and the new reorder point is 436.5.

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For a polynomial f(x) with a positive leading coefficient, it can be shown that there exists a value N such that f(x) is always greater than zero for all x greater than N.

Consider the polynomial f(x) = anx^k + ... + a₁x + ao, where an is the leading coefficient and k is the degree of the polynomial. Since an > 0, the polynomial has a positive leading coefficient.

To show that there exists a value N such that f(x) > 0 for all x > N, we need to prove that as x approaches infinity, f(x) also approaches infinity. This can be done by considering the highest degree term in the polynomial, anx^k, as x becomes large.

Since an > 0 and x^k dominates the other terms for large x, the polynomial f(x) becomes dominated by the term anx^k. As x increases, the term anx^k becomes arbitrarily large and positive, ensuring that f(x) also becomes arbitrarily large and positive.

Therefore, by choosing a sufficiently large value N, we can guarantee that f(x) > 0 for all x > N, as the polynomial grows without bound as x approaches infinity.

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The solution to the differential equation dy/dx = 3x - 4 with the initial condition y(0) = -12 is y = (3/2)x^2 - 4x - 12.

To solve the differential equation dy/dx = 3x - 4 with the initial condition y(0) = -12, we can follow these steps:

Integrate both sides of the equation with respect to x:

∫dy = ∫(3x - 4)dx

Integrate the right side of the equation:

y = (3/2)x^2 - 4x + C

Apply the initial condition y(0) = -12 to find the value of the constant C:

-12 = (3/2)(0)^2 - 4(0) + C

-12 = C

Substitute the value of C back into the equation:

y = (3/2)x^2 - 4x - 12

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By using factoring by grouping or synthetic division, we find that \(x = -2\) is a real solution.

Checking for Rational Roots

Using the rational root theorem, the possible rational roots of the polynomial are given by the factors of the constant term (24) divided by the factors of the leading coefficient (-4).

The possible rational roots are ±1, ±2, ±3, ±4, ±6, ±8, ±12, ±24.

By substituting these values into \(f(x)\), we find that \(f(-2) = 0\). Hence, \(x + 2\) is a factor of \(f(x)\).

Dividing \(f(x)\) by \(x + 2\) using long division or synthetic division, we get:

Now, we have reduced the problem to factoring \(-4x³ + 18x² - 16x + 12\).

Attempt 2: Factoring by Grouping

Rearranging the terms, we have:

Factoring out common factors, we obtain:

Now, we have \(2x^2(-2x + 9) + 4(4x - 3)\). We can further factor this as:

Therefore, the fully factored form of \(f(x) = -4x⁴  + 26x³  - 50x² + 16x + 24\) is \(f(x) = (x + 2)(2x² + 4)(-2x + 9)\).

Solutions to the polynomial equations:

Using polynomial division or synthetic division, we can find the quadratic equation \((x + 2)(x² + 2x - 3)\). Factoring the quadratic equation, we get \(x² + 2x - 3 = (x +

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The explicit formula for the sequence is H. aₙ=-7+5(n-1).

The recursive formula given is a₁=5 and aₙ₊₁=a_{n}-7. This means that the first term of the sequence is 5 and the common difference is -7.

To write an explicit formula for the sequence, we can use the following formula:

aₙ=a₁+(n-1)d

where aₙ is the nth term of the sequence, a₁ is the first term, and d is the common difference.

In this case, a₁=5 and d=-7. So, we can write the explicit formula as follows:

aₙ=5+(n-1)(-7)

or

aₙ=-7+5(n-1)

Therefore, the explicit formula for the sequence is H. aₙ=-7+5(n-1).

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1. Objective function: U(x₁, x₂), Constraint function: g(x₁, x₂) = m.

2. Lagrangian equation: L(x₁, x₂, λ) = U(x₁, x₂) - λ(g(x₁, x₂) - m).

3. First derivative with respect to x₁: ∂L/∂x₁ = ∂U/∂x₁ - λ∂g/∂x₁ = 0, First derivative with respect to x₂: ∂L/∂x₂ = ∂U/∂x₂ - λ∂g/∂x₂ = 0.

4. First derivative with respect to λ: ∂L/∂λ = g(x₁, x₂) - m = 0.

1. The objective function can be written as: U(x₁, x₂).

The constraint function can be written as: g(x₁, x₂) = m, where m represents the amount of money.

2. To set up the Lagrangian equation, we multiply the Lagrange multiplier λ to the constraint function and subtract it from the objective function. Therefore, the Lagrangian equation is given as: L(x₁, x₂, λ) = U(x₁, x₂) - λ(g(x₁, x₂) - m).

3. To find the first derivative of L with respect to x₁, we differentiate the Lagrangian equation with respect to x₁ and set it to zero as shown below: ∂L/∂x₁ = ∂U/∂x₁ - λ∂g/∂x₁ = 0.

Similarly, to find the first derivative of L with respect to x₂, we differentiate the Lagrangian equation with respect to x₂ and set it to zero as shown below: ∂L/∂x₂ = ∂U/∂x₂ - λ∂g/∂x₂ = 0.

4. Finally, we find the first derivative of L with respect to λ and set it equal to the constraint function as shown below: ∂L/∂λ = g(x₁, x₂) - m = 0.

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The exact value of sin(θ) + cos²(θ) is 1.

To evaluate the exact value of sin(θ) + cos²(θ), we need to apply the trigonometric identities. Let's break it down step by step:

Start with the identity: cos²(θ) + sin²(θ) = 1.

This is one of the fundamental trigonometric identities known as the Pythagorean identity.

Rearrange the equation: sin²(θ) = 1 - cos²(θ).

By subtracting cos²(θ) from both sides, we isolate sin²(θ).

Substitute the rearranged equation into the original expression:

sin(θ) + cos²(θ) = sin(θ) + (1 - sin²(θ)).

Replace sin²(θ) with its equivalent expression from step 2.

Simplify the expression: sin(θ) + (1 - sin²(θ)) = 1.

By combining like terms, we obtain the final result.

Therefore, the exact value of sin(θ) + cos²(θ) is 1.

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a. Differentiate the function is f'(s) = 1

b. dy/dx = 9(3x + 2)² * (x² - 2) + 4(3x + 2)³ * x

c. dy/dx = (-e^(2 - x)(2x + 1) - 2e^(2 - x)) / (2x + 1)²

a. Differentiating the function [tex]\(f(s) = s + 1\)[/tex]:

The derivative of (f(s)) with respect to \(s\) is simply 1. Since the derivative of a constant (1 in this case) is always zero, the derivative of \(s\) (which is the variable in this case) is 1.

So, the derivative of [tex]\(f(s) = s + 1\)[/tex] is [tex]\(f'(s) = 1\)[/tex].

b. Differentiating [tex]\(y = (3x + 2)^3(x^2 - 2)\)[/tex]:

To differentiate this function, we can use the product rule and the chain rule.

Let's break it down step by step:

First, differentiate the first part [tex]\((3x + 2)^3\)[/tex] using the chain rule:

[tex]\(\frac{d}{dx} [(3x + 2)^3] = 3(3x + 2)^2 \frac{d}{dx} (3x + 2) = 3(3x + 2)^2 \cdot 3\)[/tex]

Now, differentiate the second part [tex]\((x^2 - 2)\)[/tex]:

[tex]\(\frac{d}{dx} (x^2 - 2) = 2x \cdot \frac{d}{dx} (x^2 - 2) = 2x \cdot 2\)[/tex]

Using the product rule, we can combine the derivatives of both parts:

[tex]\(\frac{dy}{dx} = (3(3x + 2)^2 \cdot 3) \cdot (x^2 - 2) + (3x + 2)^3 \cdot (2x \cdot 2)\)[/tex]

Simplifying further:

[tex]\(\frac{dy}{dx} = 9(3x + 2)^2 \cdot (x^2 - 2) + 4(3x + 2)^3 \cdot 2x\)[/tex]

So, the derivative of [tex]\(y = (3x + 2)^3(x^2 - 2)\)[/tex] is [tex]\(\frac{dy}{dx} = 9(3x + 2)^2 \cdot (x^2 - 2) + 4(3x + 2)^3 \cdot 2x\)[/tex].

c. Differentiating [tex]\(y = \frac{e^{2 - x}}{(2x + 1)}\)[/tex]:

To differentiate this function, we can use the quotient rule.

Let's break it down step by step:

First, differentiate the numerator, [tex]\(e^{2 - x}\)[/tex], using the chain rule:

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

Now, differentiate the denominator, [tex]\((2x + 1)\)[/tex]:

[tex]\(\frac{d}{dx} (2x + 1) = 2\)[/tex]

Using the quotient rule, we can combine the derivatives of the numerator and denominator:

[tex]\(\frac{dy}{dx} = \frac{(e^{2 - x} \cdot (2x + 1)) - (-e^{2 - x} \cdot 2)}{(2x + 1)^2}\)[/tex]

Simplifying further:

[tex]\(\frac{dy}{dx} = \frac{(-e^{2 - x}(2x + 1) + 2e^{2 - x})}{(2x + 1)^2} = \frac{(-e^{2 - x}(2x + 1) - 2e^{2 - x})}{(2x + 1)^2}\)[/tex]

So, the derivative of [tex]\(y = \frac{e^{2 - x}}{(2x + 1)}\) is \(\frac{dy}{dx} = \frac{(-e^{2 - x}(2x + 1) - 2e^{2 - x})}{(2x + 1)^2}\).[/tex]

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The solution of the given differential equation when y(1) = 2e²-e³ and y(0)=1 is given by   y = (1/6)e² + (2/3)e-³

Differential equation is y" + y' - 6y = 0

To show that y = Ae²+ Be-³x is the general solution of the given differential equation, first, we need to find the derivatives of y.

Now,y = Ae²+ Be-³x

Differentiating w.r.t 'x' , we get y' = 2Ae² - 3Be-³x

Differentiating again w.r.t 'x', we get y" = 4Ae² + 9Be-³x

On substituting the derivatives of y in the given differential equation, we get4Ae² + 9Be-³x + (2Ae² - 3Be-³x) - 6(Ae²+ Be-³x) = 0

Simplifying this expression, we getA(6e² - 1)e² + B(3e³ - 2)e-³x = 0

Since this equation should hold for all values of x, we have two possibilities either

A(6 e² - 1) = 0 and

B(3 e³ - 2) = 0or

6 e² - 1 = 0 and

3 e³ - 2 = 0i.e.,

either A = 0 and B = 0 or A = 1/6 and B = 2/3

So, the general solution of the given differential equation is given by

y = A e²+ B e-³x

where A and B are constants, A = 1/6 and B = 2/3

On substituting the given initial conditions, we get

y(1) = 2e²-e³

Ae²+ B e-³y(0) = 1

= Ae²+ Be-³x

Putting A = 1/6 and B = 2/3, we get

2e²-e³ = (1/6)e² + (2/3)e-³And,

1 = (1/6) + (2/3)

Therefore, the solution of the given differential equation when y(1) = 2e²-e³ and y(0)=1 is given by   y = (1/6)e² + (2/3)e-³

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To find the production level that maximizes revenue, we need to determine the value of 'x' that maximizes the revenue function R.

The revenue function is given by R = x * p, where p represents the price per unit. Substituting the given expression for p, we have:

R = x * ($95 - 0.0125x)

Expanding and simplifying, we get:

R = $95x - 0.0125x^2

Now, to maximize the revenue, we can use calculus. We take the derivative of the revenue function with respect to 'x' and set it equal to zero:

dR/dx = 95 - 0.025x = 0

Solving for 'x', we find:

0.025x = 95

x = 95 / 0.025

x = 3800

Therefore, the production level that maximizes the revenue is 3800 thousand phones produced.

To confirm that this value maximizes the revenue, we can also check the second derivative. Taking the second derivative of the revenue function, we have:

d^2R/dx^2 = -0.025

Since the second derivative is negative, it confirms that the revenue is maximized at x = 3800.

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b. The relation R is reflexive, symmetric, and transitive.

a) Here is the directed graph representing the relation R on the set J={0,1,3,4,5,6}:

In this graph, there is a directed edge from x to y if and only if xRy. For example, there is a directed edge from 0 to 4 because 4 divides 0^2+4^2.

b) To determine if the relation R is reflexive, symmetric, or transitive, let's examine the elements of J.

Reflexive: A relation R is reflexive if every element of the set is related to itself. In this case, for every x in J, we need to check if xRx. Since 4 divides x^2 + x^2 = 2x^2 for all x in J, the relation R is reflexive.

Symmetric: A relation R is symmetric if for every x and y in J, if xRy, then yRx. We need to check if for every pair of elements (x, y) in J, if 4 divides x^2 + y^2, then 4 divides y^2 + x^2. Since addition is commutative, if xRy holds, then yRx holds as well. Therefore, the relation R is symmetric.

Transitive: A relation R is transitive if for every x, y, and z in J, if xRy and yRz, then xRz. We need to check if for every triple of elements (x, y, z) in J, if 4 divides x^2 + y^2 and 4 divides y^2 + z^2, then 4 divides x^2 + z^2. It can be observed that if both xRy and yRz hold, then xRz holds as well. Therefore, the relation R is transitive.

In summary, the relation R is reflexive, symmetric, and transitive.

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The tax paid on a grocery bill of $147.56, with a tax rate of 4%, amounts to $5.90.

To calculate this, we multiply the total amount of the bill ($147.56) by the tax rate (4% expressed as 0.04). This gives us the tax amount: $147.56 * 0.04 = $5.90.

Tax amount = Bill amount * Tax rate

In this case, the bill amount is $147.56 and the tax rate is 4% (or 0.04).

Tax amount = $147.56 * 0.04 = $5.90

Therefore, the tax paid on the grocery bill is $5.90.

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The given answer of i 0.53 is incorrect. The correct value is 2.

W(y₁, y₂)(3), we can use the Wronskian determinant formula.

W(y₁, y₂) = y₁y₂' - y₂y₁'

Let's first calculate the derivative of y₂:

y₂' = (d/dt)(y₂)

Next, we can substitute the given values into the formula to find

W(y₁, y₂)W(y₁, y₂)(1) = y₁(1)y₂'(1) - y₂(1)y₁'(1)

Since W(y₁, y₂)(1) is given as 2, we can set up the equation:

2 = y₁(1)y₂'(1) - y₂(1)y₁'(1)

Now, we need to find W(y₁, y₂)(3). To do this, we can use the fact that the Wronskian determinant is constant for linear homogeneous differential equations. Therefore, W(y₁, y₂)(3) will also be equal to 2.

So, W(y₁, y₂)(3) = 2.

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The exact area A of the region bounded between the curve f(x) = 1 - ln(x) and the line g(x) = 1 over the interval [1, 5] is given by:

A = -5ln(5) + 5 units²

To find the area A of the region bounded between the curve f(x) = 1 - ln(x) and the line g(x) = 1 over the interval [1, 5], we can integrate the difference between the two functions over that interval.

A = ∫[1, 5] (f(x) - g(x)) dx

First, let's find the difference between the two functions:

f(x) - g(x) = (1 - ln(x)) - 1 = -ln(x)

Now, we can integrate -ln(x) over the interval [1, 5]:

A = ∫[1, 5] -ln(x) dx

To integrate -ln(x), we can use the properties of logarithmic functions:

A = [-xln(x) + x] evaluated from 1 to 5

A = [-5ln(5) + 5] - [-1ln(1) + 1]

Since ln(1) = 0, the second term on the right side becomes 0:

A = -5ln(5) + 5

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The standard matrix of the linear transformation T: R² -> R⁴ is A = [5 -9; 1 3; 5 0; 1 0].

To find the standard matrix of the linear transformation T, we need to determine the images of the standard basis vectors e₁ = (1, 0) and e₂ = (0, 1) under T.

Given that T(e₁) = (5, 1, 5, 1) and T(e₂) = (-9, 3, 0, 0), we can represent these image vectors as column vectors.

The standard matrix A of T is formed by arranging these column vectors side by side. Therefore, A = [T(e₁) T(e₂)].

We have T(e₁) = (5, 1, 5, 1) and T(e₂) = (-9, 3, 0, 0), so the standard matrix A becomes:

A = [5 -9; 1 3; 5 0; 1 0].

This matrix A represents the linear transformation T from R² to R⁴.

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Answer:

Step-by-step explanation:

x=8.6cm  x=7.9cm

15m

Answer:

The answer is x = 24.7

Step-by-step explanation:

Using the formula,

a/(sinA) = b/(sinB) = c/(sinC),

Here, we need to find x,

and for b = 15, the corresponding angle is 35 degrees,

and for x, the angle is 71 degrees, so,

[tex]x/sin(71) =15/sin(35)\\x = 15(sin(71)/sin(35)\\x = 24.7269[/tex]

To one decimal place we get,

x = 24.7

The simplified form of the expression in cube root is 4a^(8/3).

To simplify the radical expression ³√64a⁸¹, we can break it down into its prime factors and simplify each factor separately.

First, let's simplify the number inside the radical, which is 64. We can write it as 2^6, since 2 multiplied by itself 6 times equals 64.

Next, let's simplify the variable inside the radical, which is a^8.

Since we are taking the cube root, we need to find the largest factor of 8 that is a perfect cube. In this case, 2^3 is the largest perfect cube factor of 8.

So, we can rewrite the expression as ³√(2^6 * 2^3 * a).

Using the property of radicals that says ³√(a * b) = ³√a * ³√b, we can simplify further.

³√(2^6 * 2^3 * a) = ²√(2^6) * ³√(2^3) * ³√a

Since ²√(2^6) is 2^3 and ³√(2^3) is 2, we can simplify even more.

2^3 * 2 * ³√a = 8 * 2 * ³√a = 16 * ³√a

Therefore, the simplified radical expression ³√64a⁸¹ is equal to 16 * ³√a.

In summary, to simplify the expression ³√64a⁸¹, we first broke down the number 64 into its prime factors and found the largest perfect cube factor of the exponent 8.

We then used the property of radicals to simplify the expression and arrived at the final answer of 16 * ³√a.

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The ratio for Pete is 5:6 which is equivalent to 1000 shirts, therefore we will pay $10,000 to Ana, and he will pay $9600 to June.

Ana:

Ana is offering a promotion, which is to buy 5 and get 1 free. Based on this, the ratio would be 5:6 (pay 5 but get 6). Using this ratio, let's calculate the number of shirts that Pete would pay:

1200 / 6 =  200 x 5 = 1000 shirts

1000  shirts x $10 = $10,000

Jun:

The price with Jun is fixed as he will need to pay $8 for each shirt:

1200 shirts x $8 = $9600

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Finally, the model of Newton's law of cooling, dT/dt = k(T - 10), with initial condition T(0) = 40° and ambient temperature Tm = 10°, can be explained further.

The given differential equation, (x - y³ + y² sin x) dx = (3xy² - 2ycos y)dy, is an exact differential equation.

The Bernoulli's equation, dy y- + x³y = (sin x)y-¹, will not be reduced to a linear equation by using the substitution u = y².

In the model of population size, dP/dt = 0.5P, with initial conditions P(0) = 650 and P(3) = 710, we can conclude that the initial population is 650.

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The set S is a vector space.

To determine if S is a vector space, we need to check if it satisfies the ten properties of a vector space.

1. The zero vector exists: In this case, the zero vector would be the function y(x) = 0, which satisfies the differential equation y'' + 2y' - y = 0, since the derivative of the zero function is also zero.

2. Closure under addition: If f(x) and g(x) are both functions satisfying the differential equation y'' + 2y' - y = sin(x), then their sum h(x) = f(x) + g(x) also satisfies the same differential equation. This can be verified by taking the second derivative of h(x), multiplying by 2, and subtracting h(x) to check if it equals sin(x).

3. Closure under scalar multiplication: If f(x) is a function satisfying the differential equation y'' + 2y' - y = sin(x), and c is a scalar, then the function g(x) = c * f(x) also satisfies the same differential equation. This can be verified by taking the second derivative of g(x), multiplying by 2, and subtracting g(x) to check if it equals sin(x).

4. Associativity of addition: (f(x) + g(x)) + h(x) = f(x) + (g(x) + h(x))

5. Commutativity of addition: f(x) + g(x) = g(x) + f(x)

6. Additive identity: There exists a function 0(x) such that f(x) + 0(x) = f(x) for all functions f(x) satisfying the differential equation.

7. Additive inverse: For every function f(x) satisfying the differential equation, there exists a function -f(x) such that f(x) + (-f(x)) = 0(x).

8. Distributivity of scalar multiplication over vector addition: c * (f(x) + g(x)) = c * f(x) + c * g(x)

9. Distributivity of scalar multiplication over scalar addition: (c + d) * f(x) = c * f(x) + d * f(x)

10. Scalar multiplication identity: 1 * f(x) = f(x)

By verifying that all these properties hold, we can conclude that the set S is indeed a vector space.

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The linear cost function representing the cost C(x) to produce x items is C(x) = 4992 + 23.30x. The linear revenue function representing the revenue R(x) for selling x items is R(x) = 27.20x.

In a linear cost function, the fixed cost represents the y-intercept and the variable cost per item represents the slope of the line.

In this case, the fixed cost is $4992, which means that even if no items are produced, there is still a cost of $4992.

The variable cost per item is $23.30, indicating that an additional cost of $23.30 is incurred for each item produced.

To obtain the linear cost function, we add the fixed cost to the product of the variable cost per item and the number of items produced (x).

Therefore, the cost C(x) to produce x items can be represented by the equation C(x) = 4992 + 23.30x.

Part 2 of 4 (b): The linear revenue function that represents the revenue R(x) for selling x items is R(x) = 27.20x.

In a linear revenue function, the selling price per item represents the slope of the line.

In this case, the selling price per item is $27.20, indicating that a revenue of $27.20 is generated for each item sold.

To obtain the linear revenue function, we multiply the selling price per item by the number of items sold (x).

Therefore, the revenue R(x) for selling x items can be represented by the equation R(x) = 27.20x.

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Answer:

3.(52+81).

Step-by-step explanation:

Hello,

Answer:

[tex]\red{\large{\boxed{156+243 =3(52+81)}}}[/tex]

Answer:

t = 7.2

Step-by-step explanation:

The lengths of the corresponding sides of similar polygons are proportional.

12/9.6 = 9/t

12t = 9 × 9.6

4t = 3 × 9.6

t = 3 × 2.4

t = 7.2

The result of the recurrence: an=9a n−1 for n≥2 with the initial condition a1=−6. an=  -6 × (-9)n-1

There is the recurrence relation: an = 9an - 1 with the initial condition a1 = -6. The task is to find the solution to the recurrence relation. Let's use the backward substitution method to solve the recurrence relation. In the backward substitution method, we start from the value of an and use the relation an = 9an - 1 to calculate an - 1, then use an - 1 = 9an - 2 to calculate an - 2, and so on until we reach the given initial value.

Here, a1 = -6, so we can start with a2. Using the relation an = 9an - 1, we get:

a2 = 9a1 = 9(-6) = -54

Using the relation an = 9 an - 1, we get:

a3 = 9a2 = 9(-54) = -486

Using the relation an = 9an - 1, we get:

a4 = 9a3 = 9(-486) = -4374

Similarly, we can calculate a5:

a5 = 9a4 = 9(-4374 ) = -39366

So, the result of the recurrence relation with the initial condition a1 = -6 is:

an = -6 × (-9)n-1

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The resulting matrix T² represents the probabilities of individuals moving between intersections after two time steps.

To calculate T²,  to first understand what the matrix T represents. Let's define the matrix T:

T = | t11 t12 |

| t21 t22 |

In this context, T is a transition matrix that describes the movement of individuals between the four intersections: Owens Bridge on Parkway East (OE), Bay Bridge on Parkway East (BE), Bay Bridge on Parkway West (BW), and Owens Bridge on Parkway West (OW).

Each entry tij of the matrix T represents the probability of an individual moving from intersection i to intersection j. For example, t11 represents the probability of someone moving from Owens Bridge on Parkway East (OE) back to Owens Bridge on Parkway East (OE), t12 represents the probability of someone moving from Owens Bridge on Parkway East (OE) to Bay Bridge on Parkway East (BE), and so on.

The transition matrix T should be constructed based on the given information about the movement of individuals between these intersections. The entries should be probabilities, meaning they should be between 0 and 1, and the sum of each row should be equal to 1 since a person must move to one of the four intersections.

Once the matrix T is defined, calculating T² means multiplying T by itself:

T² = T × T

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The probability of exactly seven patients having undesirable side effects among a random sample of eight patients is approximately 0.03072, rounded to five decimal places.

To find the probability of exactly seven patients having undesirable side effects among a random sample of eight patients, we can use the binomial probability formula.

The formula for the binomial probability is:

P(X = k) = (n C k) * p^k * (1 - p)^(n - k)

Where:

P(X = k) is the probability of exactly k successes

n is the number of trials or sample size

k is the number of successes

p is the probability of success in a single trial

In this case, we have n = 8 (a random sample of eight patients) and p = 0.40 (probability of a patient having undesirable side effects).

Using the formula, we can calculate the probability of exactly seven patients having undesirable side effects:

P(X = 7) = (8 C 7) * (0.40)^7 * (1 - 0.40)^(8 - 7)

To simplify the calculation, let's evaluate the terms individually:

(8 C 7) = 8 (since choosing 7 out of 8 patients has only one possible outcome)

(0.40)^7 ≈ 0.0064 (rounded to four decimal places)

(1 - 0.40)^(8 - 7) = 0.60^1 = 0.60

Now we can calculate the probability:

P(X = 7) = (8 C 7) * (0.40)^7 * (1 - 0.40)^(8 - 7)

= 8 * 0.0064 * 0.60

= 0.03072

Therefore, the probability of exactly seven patients having undesirable side effects among a random sample of eight patients is approximately 0.03072, rounded to five decimal places.

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The solution to the initial value problem is y(t)  = [tex]2e^(-5t) + 4e^(-17t)[/tex].

To solve the given initial value problem using the Laplace transform, we'll follow these steps:

Take the Laplace transform of both sides of the differential equation using the linearity property and the derivatives property of the Laplace transform.

Solve for the Laplace transform of the unknown function, denoted as Y(s).

Apply the initial conditions to find the values of the Laplace transform at s=0.

Inverse Laplace transform Y(s) to obtain the solution y(t).

Let's solve the initial value problem:

Step 1:

Taking the Laplace transform of the differential equation, we have:

s²Y(s) - sy(0) - y'(0) - 12(sY(s) - y(0)) + 85Y(s) = 0

Step 2:

Simplifying the equation and isolating Y(s), we get:

(s² + 12s + 85)Y(s) = s(6) + 58 + 12(6)

Y(s) = (6s + 130) / (s² + 12s + 85)

Step 3:

Applying the initial conditions, we have:

Y(0) = (6(0) + 130) / (0² + 12(0) + 85) = 130 / 85

Step 4:

Inverse Laplace transforming Y(s), we can use partial fraction decomposition or the table of Laplace transforms to find the inverse Laplace transform. In this case, we'll use partial fraction decomposition:

Y(s) = (6s + 130) / (s² + 12s + 85)

= (6s + 130) / [(s + 5)(s + 17)]

Using partial fraction decomposition, we can write:

Y(s) = A / (s + 5) + B / (s + 17)

Multiplying both sides by (s + 5)(s + 17), we get:

6s + 130 = A(s + 17) + B(s + 5)

Expanding and equating coefficients, we have:

6 = 17A + 5B

130 = 5A + 17B

Solving these equations simultaneously, we find A = 2 and B = 4.

Therefore, Y(s) = 2 / (s + 5) + 4 / (s + 17)

Taking the inverse Laplace transform

y(t) = [tex]2e^(-5t) + 4e^(-17t)[/tex].

So the solution to the initial value problem is y(t)  = [tex]2e^(-5t) + 4e^(-17t)[/tex].

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The solution as 75 + 34√5 while solving (5+2√5)(7+4 √5).

To get the product of the given two binomials, (5+2√5) and (7+4√5), use FOIL multiplication method. Here, F stands for First terms, O for Outer terms, I for Inner terms, and L for Last terms. Then simplify the expression. The solution is shown below:

First, multiply the first terms together which give: (5)(7) = 35.

Second, multiply the outer terms together which give: (5)(4 √5) = 20√5.

Third, multiply the inner terms together which give: (2√5)(7) = 14√5.

Finally, multiply the last terms together which give: (2√5)(4√5) = 40.

When all the products are added together, we get; 35 + 20√5 + 14√5 + 40 = 75 + 34√5

Therefore, (5+2√5)(7+4√5) = 75 + 34√5.

Thus, we got the solution as 75 + 34√5 while solving (5+2√5)(7+4 √5).

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The expected number of absentees on a given day is 3.48

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

Number absent 0 1 2 3 4 5 6

Probability 0.02 0.04 0.15 0.29 0.3 0.13 0.07

The expected number of absentees on a given day is calculated as

E(x) = ∑xP(x)

So, we have

E(x) = 0 * 0.02 + 1 * 0.04 + 2 * 0.15 + 3 * 0.29 + 4 * 0.3 + 5 * 0.13 + 6 * 0.07

Evaluate

E(x) = 3.48

Hence, the expected number is 3.48

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