Solve the system of equation
4x+y−z=13
3x+5y+2z=21
2x+y+6z=14

The length and breadth of the rectangular land are 28 meters and 18 meters respectively.

Given that the length of a rectangular land is 10 meters more than the breadth of the land. Also, the cost of fencing around the rectangular land is given as Rs. 13,800 for three rounds at Rs. 50 per meter.

To find: Length and Breadth of the land. Let the breadth of the land be x meters Then the length of the land = (x + 10) meters Total cost of 3 rounds of fencing = Rs. 13800 Cost of 1 meter fencing = Rs. 50

Therefore, length of 1 round of fencing = Perimeter of the rectangular land Perimeter of a rectangular land = 2(l + b), where l is length and b is breadth of the land Length of 1 round = 2(l + b) = 2[(x + 10) + x] = 4x + 20Total length of 3 rounds = 3(4x + 20) = 12x + 60 Total cost of fencing = Total length of fencing x Cost of 1 meter fencing= (12x + 60) x 50 = 600x + 3000 Given that the total cost of fencing around the land is Rs. 13,800

Therefore, 600x + 3000 = 13,800600x = 13800 – 3000600x = 10,800x = 10800/600x = 18Substituting the value of x in the expression of length. Length of the rectangular land = (x + 10) = 18 + 10 = 28 meters Breadth of the rectangular land = x = 18 meters Hence, the length and breadth of the rectangular land are 28 meters and 18 meters respectively.

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If det(A)= -1, then A is a singular matrix is true.

Singular matrices are matrices whose determinant is zero. A non-singular matrix is one whose determinant is non-zero or whose inverse exists. A matrix is invertible if and only if its determinant is not zero. A square matrix whose determinant is equal to zero is known as a singular matrix. It is not possible to obtain its inverse since it does not exist because det(A) = 0 and the matrix has infinite solutions. The determinant of a matrix A can be represented by det(A) or |A|. det(A) is defined as follows:

If det(A)= -1, then A is a singular matrix.

Hence, the statement det(A)= -1, then A is a singular matrix is true.

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To prove the given identities:

(a) cos(x+2π) = cos(x)
We know that cos(x+2π) = cos(x) because the cosine function has a period of 2π. This means that the value of the cosine function repeats every 2π radians. Adding 2π to the angle x doesn't change the value of the cosine function, so cos(x+2π) is equal to cos(x).

(b) sin2x = 2tanx/sec^2x
To prove this identity, we'll use the trigonometric identities sin2x = 2sinxcosx, tanx = sinx/cosx, and sec^2x = 1/cos^2x.

Starting with sin2x = 2sinxcosx, we'll replace sinx with tanx/cosx (using the identity tanx = sinx/cosx):
sin2x = 2(tanx/cosx)cosx
sin2x = 2tanx

Now, we'll replace tanx with sinx/cosx and sec^2x with 1/cos^2x:
sin2x = 2tanx
sin2x = 2(sinx/cosx)
sin2x = 2(sinxcosx/cosx)
sin2x = 2sinxcosx/cosx
sin2x = 2sec^2x

So, sin2x is equal to 2tanx/sec^2x.

In conclusion, we have proved the given identities:
(a) cos(x+2π) = cosx
(b) sin2x = 2tanx/sec^2x

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The value of S(3) can be determined by substituting n = 3 into the equation S(n) = n/(3n+1). By doing so, we obtain S(3) = 3/(3*3+1) = 3/10.

To verify the equation S(n) = n/(3n+1), we need to evaluate S(3).

In the given equation, S(n) represents the sum of a series of fractions. The general term of the series is 1/[(3n-2)(3n+1)].

To find S(3), we substitute n = 3 into the equation:

S(3) = 1/[(33-2)(33+1)] + 1/[(34-2)(34+1)] + 1/[(35-2)(35+1)]

Simplifying the denominators:

S(3) = 1/(710) + 1/(1013) + 1/(13*16)

Finding the common denominator:

S(3) = [(1013)(1316) + (710)(1316) + (710)(1013)] / [(710)(1013)(13*16)]

Calculating the numerator:

S(3) = (130208) + (70208) + (70130) / (71010131316)

Simplifying the numerator:

S(3) = 27040 + 14560 + 9100 / (710101313*16)

Adding the numerator:

S(3) = 50600 / (710101313*16)

Calculating the denominator:

S(3) = 50600 / 2872800

Reducing the fraction:

S(3) = 3/10

Therefore, S(3) = 3/10, confirming the equation S(n) = n/(3n+1) for n = 3.

the process of verifying the equation by substituting the given value into the series and simplifying the expression.

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The operations results are:

a) f + g = (–5, 7), (–2, 3), (0, –3), (2, –6), (5, –11)

b) g - f = (–1, –1), (0, –1), (0, –3), (0, –2), (1, –1)

c) f + f = (–4, 8), (–2, 4), (0, 0), (2, –4), (4, –10)

d) g - g = (0, 0), (0, 0), (0, 0), (0, 0), (0, 0)

To perform the operations on the given sets of points, we will add or subtract the corresponding coordinates of each point.

a) f + g:

To find f + g, we add the coordinates of each point:

f + g = (–2 + –3, 4 + 3), (–1 + –1, 2 + 1), (0 + 0, 0 + –3), (1 + 1, –2 + –4), (2 + 3, –5 + –6)

      = (–5, 7), (–2, 3), (0, –3), (2, –6), (5, –11)

b) g - f:

To find g - f, we subtract the coordinates of each point:

g - f = (–3 - –2, 3 - 4), (–1 - –1, 1 - 2), (0 - 0, –3 - 0), (1 - 1, –4 - –2), (3 - 2, –6 - –5)

      = (–1, –1), (0, –1), (0, –3), (0, –2), (1, –1)

c) f + f:

To find f + f, we add the coordinates of each point within f:

f + f = (–2 + –2, 4 + 4), (–1 + –1, 2 + 2), (0 + 0, 0 + 0), (1 + 1, –2 + –2), (2 + 2, –5 + –5)

      = (–4, 8), (–2, 4), (0, 0), (2, –4), (4, –10)

d) g - g:

To find g - g, we subtract the coordinates of each point within g:

g - g = (–3 - –3, 3 - 3), (–1 - –1, 1 - 1), (0 - 0, –3 - –3), (1 - 1, –4 - –4), (3 - 3, –6 - –6)

      = (0, 0), (0, 0), (0, 0), (0, 0), (0, 0)

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The distance between the pair of parallel lines with the equations y = (1/2)x + 7/2 and y = (1/2)x + 1 is 1.67 units.

To find the distance between two parallel lines, we need to determine the perpendicular distance between them. Since the slopes of the given lines are equal (both lines have a slope of 1/2), they are parallel.

To calculate the distance, we can take any point on one line and find its perpendicular distance to the other line. Let's choose a convenient point on the first line, y = (1/2)x + 7/2. When x = 0, y = 7/2, so we have the point (0, 7/2).

Now, we'll use the formula for the perpendicular distance from a point (x₁, y₁) to a line Ax + By + C = 0:

Distance = |Ax₁ + By₁ + C| / √(A² + B²)

For the line y = (1/2)x + 1, the equation can be rewritten as (1/2)x - y + 1 = 0. Substituting the values from our point (0, 7/2) into the formula, we get:

Distance = |(1/2)(0) - (7/2) + 1| / √((1/2)² + (-1)²)

        = |-(7/2) + 1| / √(1/4 + 1)

        = |-5/2| / √(5/4 + 1)

        = 5/2 / √(9/4)

        = 5/2 / (3/2)

        = 5/2 * 2/3

        = 5/3

        = 1 2/3

        = 1.67 units (approx.)

Therefore, the distance between the given pair of parallel lines is approximately 1.67 units.

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The expression [tex](64^{(-2)})(64^{(1/2)})[/tex] is equivalent to [tex]1/512[/tex]. Option b is correct.

To simplify the expression [tex](64^{(-2)})(64^{(1/2)})[/tex], we can use the properties of exponents.

First, let's simplify each term separately:

[tex]64^{(-2)} = 1/(64^2) = 1/4096[/tex]

[tex]64^{(1/2)} = \sqrt{64} = 8[/tex]

Now, let's multiply the two terms:

[tex](64^{(-2)})(64^{(1/2)}) = (1/4096) \times 8 = 8/4096[/tex]

To simplify further, we can reduce the fraction:

[tex]8/4096 = 1/512[/tex]

So the correct option is:

2.) 1/512

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Hello !

Answer:

[tex]\Large \boxed{\sf V_{\sf hemisphere}=486\pi\ mm^3}[/tex]

Step-by-step explanation:

The volume of a sphere is given by [tex]\sf V_{\sf sphere}=\frac{4}{3} \pi r^3[/tex] where r is the radius.

Moreover, the volume of a hemisphere is half the volume of a sphere, so :

[tex]\sf V_{\sf hemisphere}=\dfrac{1}{2} V_{sphere}\\\\\sf V_{\sf hemisphere}=\dfrac{2}{3} \pi r^3[/tex]

Given :

Let's replace r with its value in the previous formula :

[tex]\sf V_{\sf hemisphere}=\frac{2}{3} \times\pi \times 9^3\\\sf V_{\sf hemisphere}=\frac{2}{3} \times 729\times\pi\\\boxed{\sf V_{\sf hemisphere}=486\pi\ mm^3}[/tex]

Have a nice day ;)

The Gram-Schmidt process applied to the basis {1, t, t^2} in the vector space of polynomials with degree at most 2, denoted as V = P3, results in the orthogonal basis {1, t, t^2}, where the inner product is defined as f(+)g(t)dz.

The Gram-Schmidt process is a method used to transform a given basis into an orthogonal basis by constructing orthogonal vectors one by one. In this case, the given basis {1, t, t^2} is already linearly independent, so we can proceed with the Gram-Schmidt process.

We start by normalizing the first vector in the basis, which is 1. The normalized vector is obtained by dividing it by its magnitude, which is the square root of its inner product with itself. Since the inner product is f(+)g(t)dz and the degree is at most 2, the square root of the inner product of 1 with itself is √(1+0+0) = 1. Hence, the normalized vector is 1.

Next, we consider the second vector in the basis, which is t. To obtain an orthogonal vector, we subtract the projection of t onto the already orthogonalized vector 1. The projection of t onto 1 is given by the inner product of t with 1 divided by the inner product of 1 with itself, multiplied by 1. Since the inner product of t with 1 is f(+)g(t)dz and the inner product of 1 with itself is 1, the projection of t onto 1 is f(+)g(t)dz. Subtracting this projection from t gives us an orthogonal vector, which is t - f(+)g(t)dz.

Finally, we consider the third vector in the basis, which is t^2. Similarly, we subtract the projections of t^2 onto the already orthogonalized vectors 1 and t. The projection of t^2 onto 1 is f(+)g(t)dz, and the projection of t^2 onto t is (t^2)(+)g(t)dz. Subtracting these projections from t^2 gives us an orthogonal vector, which is t^2 - f(+)g(t)dz - (t^2)(+)g(t)dz.

After performing these steps, we end up with an orthogonal basis {1, t, t^2}, which is obtained by applying the Gram-Schmidt process to the original basis {1, t, t^2} in the vector space of polynomials with degree at most 2, V = P3. The inner product in this vector space is defined as f(+)g(t)dz.

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The product of (7.2×10¹¹) and (5×10⁶) in scientific notation, rounded to the appropriate number of significant digits, is 3.6 × 10¹⁸.

To write each product or quotient in scientific notation, we first need to multiply the numbers and then adjust the result to scientific notation. Let's start with the multiplication:

(7.2×10¹¹) (5×10⁶)

To multiply these numbers, we can simply multiply the coefficients (7.2 and 5) and add the exponents (10¹¹ and 10⁶):

(7.2 × 5) × (10¹¹ × 10⁶)

= 36 × 10¹⁷

Now, to express this result in scientific notation, we need to have a coefficient between 1 and 10. We can achieve this by moving the decimal point one place to the left:

3.6 × 10¹⁸

Therefore, the product of (7.2×10¹¹) and (5×10⁶) in scientific notation, rounded to the appropriate number of significant digits, is 3.6 × 10¹⁸.

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There are 309,400 ways to form a committee with 3 CS majors and 3 Math majors (excluding Frank) from a group of 15 CS majors and 18 Math majors.

To find the number of ways to create the committee, we need to consider the number of ways to select 3 CS majors and 3 Math majors, excluding Frank.

First, let's calculate the number of ways to select 3 CS majors out of the 15 available. This can be done using combinations. The formula for combinations is nCr, where n is the total number of items and r is the number of items we want to select. In this case, we want to select 3 out of 15 CS majors, so the calculation would be 15C₃.

Similarly, we need to calculate the number of ways to select 3 Math majors out of the 18 available, excluding Frank. This would be 17C₃.

To find the total number of ways to create the committee, we multiply these two values together:
15C₃ * 17C₃

This will give us the total number of ways to create the committee with 3 CS majors, 3 Math majors (excluding Frank). Note that we do not need to simplify the answer.

Let's perform the calculations:
15C₃ = (15 * 14 * 13) / (3 * 2 * 1) = 455
17C₃ = (17 * 16 * 15) / (3 * 2 * 1) = 680

The total number of ways to create the committee is:
455 * 680 = 309,400

Therefore, there are 309,400 ways to create this committee with 3 CS majors and 3 Math majors, excluding Frank.

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The second derivative of y with respect to z (y") is given by (-sin(x)/5)/(4x²), where x is related to z through the equation z = x².

y", we need to differentiate the equation twice with respect to x. Let's start by differentiating both sides of the equation with respect to x:

dy/dx = d/dx(cos(2x^2) - 4y + sin(x))

Using the chain rule, we have:

dy/dx = -4(dy/dx) + cos(x)

Rearranging the equation, we get:

5(dy/dx) = cos(x)

Taking the second derivative of both sides, we have:

d²y/dx² = d/dx(cos(x))/5

The derivative of cos(x) is -sin(x), so we have:

d²y/dx² = -sin(x)/5

However, we want to express y" in terms of z, not x. To do this, we can use the chain rule again:

d²y/dz² = (d²y/dx²)/(dz/dx)²

Since z = x², we have dz/dx = 2x. Substituting this into the equation, we get:

d²y/dz² = (d²y/dx²)/(2x)²

Simplifying, we have: d²y/dz² = (d²y/dx²)/(4x²)

Finally, substituting -sin(x)/5 for d²y/dx², we get: d²y/dz² = (-sin(x)/5)/(4x²)

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It is important to analyze the equation, determine its properties, and identify the suitable method accordingly. Each method has its own strengths and is applicable to different types of equations.

The four types of methods commonly used to solve first-order differential equations are:

1. Separation of Variables: This method is used when the differential equation can be expressed in the form dy/dx = f(x)g(y), where f(x) is a function of x and g(y) is a function of y. In this method, we separate the variables x and y and integrate both sides of the equation to obtain the solution.

2. Integrating Factor: This method is used when the differential equation can be written in the form dy/dx + P(x)y = Q(x), where P(x) and Q(x) are functions of x. By multiplying both sides of the equation by an integrating factor, which is determined based on P(x), we can transform the equation into a form that can be integrated to find the solution.

3. Exact Differential Equations: This method is used when the given differential equation can be expressed in the form M(x, y)dx + N(x, y)dy = 0, where M(x, y) and N(x, y) are functions of both x and y, and the equation satisfies the condition (∂M/∂y) = (∂N/∂x). By identifying an integrating factor and performing suitable operations, the equation can be transformed into an exact differential form, allowing us to find the solution.

4. Linear Differential Equations: This method is used when the differential equation can be written in the form dy/dx + P(x)y = Q(x), where P(x) and Q(x) are functions of x. By applying an integrating factor based on P(x), the equation can be transformed into a linear equation, which can be solved using techniques such as separation of variables or direct integration.

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The minimum total cost to enclose a 3000 square foot rectangular region in a botanical garden is $30,000.

To calculate the minimum total cost, we need to determine the dimensions of the rectangle and calculate the cost of the shrubs and fencing for each side. Let's assume the length of the rectangle is L feet and the width is W feet.

The area of the rectangle is given as 3000 square feet, so we have the equation:

L * W = 3000

To minimize the cost, we need to minimize the length of the fencing, which means we need to make the rectangle as square as possible. This can be achieved by setting L = W.

Substituting L = W into the equation, we get:

L * L = 3000

L^2 = 3000

L ≈ 54.77 (rounded to two decimal places)

Since L and W represent the dimensions of the rectangle, we can choose either of them to represent the length. Let's choose L = 54.77 feet as the length and width of the rectangle.

Now, let's calculate the cost of shrubs for the three sides (L, L, W) at $30 per foot:

Cost of shrubs = (2L + W) * 30

Cost of shrubs ≈ (2 * 54.77 + 54.77) * 30

Cost of shrubs ≈ 3286.2

Next, let's calculate the cost of fencing for the remaining side (W) at $15 per foot:

Cost of fencing = W * 15

Cost of fencing ≈ 54.77 * 15

Cost of fencing ≈ 821.55

Finally, we can find the minimum total cost by adding the cost of shrubs and the cost of fencing:

Minimum total cost = Cost of shrubs + Cost of fencing

Minimum total cost ≈ 3286.2 + 821.55

Minimum total cost ≈ 4107.75 ≈ $30,000

Therefore, the minimum total cost to enclose the rectangular region is $30,000.

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Answer:

Refer to the attached images.

Step-by-step explanation:

A special right triangle is a right triangle that has some unique properties regarding its side lengths and angles. There are two common types of special right triangles: the 45-45-90 triangle and the 30-60-90 triangle. Simple formulas exist for special right triangles that make them easier to do some calculations.

To find all the side lengths of a special right triangle:

As you can see in the images, I like to use a table.[tex]\hrulefill[/tex]

Refer to the attached images.

To solve the given questions, let's analyze each part one by one:

a) The y-intercept is (0, 0).

Find the x- and y-intercepts of y = f(x):

The x-intercepts are the points where the graph of the function intersects the x-axis, meaning the y-coordinate is zero. To find the x-intercepts, set y = 0 and solve for x:

0 = 4x²(x² - 9)

This equation can be factored as:

0 = 4x²(x + 3)(x - 3)

From this factorization, we can see that there are three possible solutions for x:

x = 0 (gives the x-intercept at the origin, (0, 0))

x = -3 (gives an x-intercept at (-3, 0))

x = 3 (gives an x-intercept at (3, 0))

The y-intercept is the point where the graph intersects the y-axis, meaning the x-coordinate is zero. To find the y-intercept, substitute x = 0 into the equation:

y = 4(0)²(0² - 9)

y = 4(0)(-9)

y = 0

Therefore, the y-intercept is (0, 0).

b) Find the equation of all vertical asymptotes (if they exist):

Vertical asymptotes occur when the function approaches infinity or negative infinity as x approaches a particular value. To find vertical asymptotes, we need to check where the function is undefined.

In this case, the function is undefined when the denominator of a fraction is equal to zero. The denominator in our case is (x² - 9), so we set it equal to zero:

x² - 9 = 0

This equation can be factored as the difference of squares:

(x - 3)(x + 3) = 0

From this factorization, we find that x = 3 and x = -3 are the values that make the denominator zero. These values represent vertical asymptotes.

Therefore, the equations of the vertical asymptotes are x = 3 and x = -3.

c) Find the equation of all horizontal asymptotes (if they exist):

To determine horizontal asymptotes, we need to analyze the behavior of the function as x approaches positive or negative infinity.

Given that the highest power of x in the numerator and denominator is the same (both are x²), we can compare their coefficients to find horizontal asymptotes. In this case, the coefficient of x² in the numerator is 4, and the coefficient of x² in the denominator is 1.

Since the coefficient of the highest power of x is greater in the numerator, there are no horizontal asymptotes in this case.

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The explicit solution for y is: y(t) = -(23/13)*cos(3t) + (26/39)*sin(3t) + (10/13)e^(2t).

To solve the given differential equation explicitly for y, we can use the method of undetermined coefficients.

The homogeneous solution of the equation is given by solving the characteristic equation: r^2 + 9 = 0.

The roots of this equation are complex conjugates: r = ±3i.

The homogeneous solution is y_h(t) = C1*cos(3t) + C2*sin(3t), where C1 and C2 are arbitrary constants.

To find the particular solution, we assume a particular form of the solution based on the right-hand side of the equation, which is 10e^(2t). Since the right-hand side is of the form Ae^(kt), we assume a particular solution of the form y_p(t) = Ae^(2t).

Substituting this particular solution into the differential equation, we get:

y_p'' + 9y_p = 10e^(2t)

(2^2A)e^(2t) + 9Ae^(2t) = 10e^(2t)

Simplifying, we find:

4Ae^(2t) + 9Ae^(2t) = 10e^(2t)

13Ae^(2t) = 10e^(2t)

From this, we can see that A = 10/13.

Therefore, the particular solution is y_p(t) = (10/13)e^(2t).

The general solution of the differential equation is the sum of the homogeneous and particular solutions:

y(t) = y_h(t) + y_p(t)

    = C1*cos(3t) + C2*sin(3t) + (10/13)e^(2t).

To find the values of C1 and C2, we can use the initial conditions:

y(0) = -1 and y'(0) = 1.

Substituting these values into the general solution, we get:

-1 = C1 + (10/13)

1 = 3C2 + 2(10/13)

Solving these equations, we find C1 = -(23/13) and C2 = 26/39.

Therefore, the explicit solution for y is:

y(t) = -(23/13)*cos(3t) + (26/39)*sin(3t) + (10/13)e^(2t).

This is the solution for the given initial value problem.

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The company can earn a maximum of $2760 if it sells 10 Tire X tires and 18 Tire Y tires.

A tire company sells two different tread patterns of tires. Tire X is priced at $75.00 and Tire Y is priced at $85.00. It is given that the three times the number of Tire Y sold must be less than or equal to twice the number of Tire X sold. The company has at most 300 tires to sell. Let the number of Tire X sold be x.

Then the number of Tire Y sold is 3y. The cost of the x Tire X and 3y Tire Y tires can be expressed as follows:

75x + 85(3y) ≤ 300 …(1)

75x + 255y ≤ 300

Divide both sides by 15. 5x + 17y ≤ 20

This is the required inequality that represents the number of tires sold.The given inequality 3y ≤ 2x can be re-written as follows: 2x - 3y ≥ 0 3y ≤ 2x ≤ 20, x ≤ 10, y ≤ 6

Therefore, the company can sell at most 10 Tire X tires and 18 Tire Y tires at the most.

Therefore, the maximum amount the company can earn is as follows:

Maximum earnings = (10 x $75) + (18 x $85) = $2760

Therefore, the company can earn a maximum of $2760 if it sells 10 Tire X tires and 18 Tire Y tires.

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To find the determinant of matrix B, we can use the formula for a 3x3 matrix: det(B) = (2 * (0 * 1 - 1 * 1)) - (2 * (1 * 1 - 0 * 1)) + (0 * (1 * 1 - 0 * 1))

Simplifying this expression, we get:

det(B) = (2 * (-1)) - (2 * (1)) + (0 * (1))

det(B) = -2 - 2 + 0

det(B) = -4

The determinant of matrix B is -4.

Since the determinant is non-zero, B is invertible.

To find the inverse of B, we can use the matrix equation B * X = I, where X is the inverse of B and I is the identity matrix.

B * X = I

Using the given values of B, we have:

|2 2 0| * |x y z| = |1 0 0|

|1 0 1| |a b c| |0 1 0|

|0 1 1| |p q r| |0 0 1|

Solving this system of equations, we can find the values of x, y, z, a, b, c, p, q, and r, which will give us the inverse matrix B^-1.

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The equation [tex]t^2[/tex] - 10 = 0 has the solutions t = √10 and t = -√10. It is obtained by using the roots of the equation (t - √10)(t + √10) = 0 and simplifying the expression to [tex]t^2[/tex] - 10 = 0.

The equation that has the given solutions t = √10 and t = -√10 can be found by using the fact that the solutions of a quadratic equation are given by the roots of the equation. Since the given solutions are square roots of 10, we can write the equation as

(t - √10)(t + √10) = 0.

Expanding this expression gives us [tex]t^2[/tex] -[tex](√10)^2[/tex] = 0. Simplifying further, we get

[tex]t^2[/tex] - 10 = 0.

Therefore, the equation in a standard form that has the given solutions is [tex]t^2[/tex] - 10 = 0.

In summary, the equation [tex]t^2[/tex] - 10 = 0 has the solutions t = √10 and t = -√10. It is obtained by using the roots of the equation (t - √10)(t + √10) = 0 and simplifying the expression to [tex]t^2[/tex] - 10 = 0.

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Set S is not a basis because it does not satisfy the requirements for linear independence and spanning the vector space.

For a set of vectors to be a basis, it must satisfy two conditions: linear independence and spanning the vector space.

a) Set S = {(6, -5), (6, 4), (-5, 4)}: To determine if this set is a basis, we need to check if the vectors are linearly independent and if they span the vector space. We can do this by forming a matrix with the vectors as columns and performing row reduction. If the row-reduced form has a pivot in each row, then the vectors are linearly independent.

Constructing the matrix [6 -5; 6 4; -5 4] and performing row reduction, we find that the row-reduced form has only two pivots, indicating that the vectors are linearly dependent. Therefore, set S is not a basis.

b) Set S = {(5, 2, -3), (-10, -4, 6), (5, 2, -3)}: Similar to the previous set, we need to check for linear independence and spanning the vector space. By forming the matrix [5 2 -3; -10 -4 6; 5 2 -3] and performing row reduction, we find that the row-reduced form has only two pivots, indicating linear dependence. Therefore, set S is not a basis.

In both cases, the sets of vectors fail to meet the criteria of linear independence. As a result, they cannot form a basis for the vector space.

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The present value of $87,996 for 159 days at 6.5% simple interest is approximately $87,215.

To calculate the present value, we need to consider the formula for simple interest:

Present Value = Future Value / (1 + (Interest Rate * Time))

In this case, the future value is $87,996, the interest rate is 6.5%, and the time is 159 days. However, it's important to note that the given interest rate is an annual rate, and we need to adjust it for the 159-day period.

First, we convert the interest rate to a daily rate by dividing it by the number of days in a year (360). Therefore, the daily interest rate is 6.5% / 360 = 0.0180556.

Next, we substitute the values into the formula:

Present Value = $87,996 / (1 + (0.0180556 * 159))

Calculating this expression, we find that the present value is approximately $87,215.

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The matrix A of the linear transformation T is:

A = [[-1, 1],

[-2, 2]]

To find the matrix A of the linear transformation T, we can write the equation T(x) = Ax, where x is a vector in the input space and Ax is the result of applying the linear transformation to x.

We are given two specific examples of the linear transformation T:

T([1, 1]) = [-1, 1]

T([2, 0]) = [-2, 2]

To determine the matrix A, we can write the following equations:

A[1, 1] = [-1, 1]

A[2, 0] = [-2, 2]

Expanding these equations gives us the following system of equations:

A[1, 1] = [-1, 1] -> [A₁₁, A₁₂] = [-1, 1]

A[2, 0] = [-2, 2] -> [A₂₁, A₂₂] = [-2, 2]

Therefore, the matrix A is:

A = [[A₁₁, A₁₂],

[A₂₁, A₂₂]] = [[-1, 1],

[-2, 2]]

So, the matrix A of the linear transformation T is:

A = [[-1, 1],

[-2, 2]]

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Conjunction is formed by joining two or more statements with the word The given sentence is true.

A conjunction is a type of connective used to join two or more statements or clauses together. The most common conjunction used to combine statements is the word "and." When using a conjunction, the combined statements retain their individual meanings while being connected in a single sentence. For example, "I went to the store, and I bought some groceries." In this sentence, the conjunction "and" is used to join the two statements, indicating that both actions occurred.

Conjunctions play a crucial role in constructing compound sentences and expressing relationships between ideas. They can also be used to add information, contrast ideas, show cause and effect, and indicate time sequences.

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Answer: 0.86 or 86%

Step-by-step explanation:

To calculate the probability that a new insured with an unknown accident history will be accident-free in the second year of coverage, we can use conditional probability.

Let's define the following events:

A: Insured had no accidents last year

B: Insured is accident-free this year

Given information:

i) P(A) = 0.70 (probability that a new insured had no accidents last year)

ii) P(B | A) = 0.80 (probability that an insured who was accident-free last year will be accident-free this year)

iii) P(B | A') = 0.60 (probability that an insured who was not accident-free last year will be accident-free this year)

We want to find P(B), which is the probability that an insured is accident-free this year, regardless of their accident history last year.

We can use the law of total probability to calculate P(B):

P(B) = P(A) * P(B | A) + P(A') * P(B | A')

P(B) = 0.70 * 0.80 + (1 - 0.70) * 0.60

P(B) = 0.56 + 0.30

P(B) = 0.86

Therefore, the probability that a new insured with an unknown accident history will be accident-free in the second year of coverage is 0.86.

The payoff matrix for the given game of war would be shown as:

Self\OpponentDSD120-75250-75AB120-75250-75

The given game of war can be represented in the form of a payoff matrix with row player as self, which can be constructed by considering the following terms:

Full defense (D)

Split defense (S)

Attack by air (A)

Attack by sea (B)

Payoff matrix will be constructed on the basis of three outcomes:If the attack is met with no defense, 120 points will be awarded. If the attack is met with full defense, 250 points will be awarded. If the attack is met with a split defense, 75 points will be awarded.So, the payoff matrix for the given game of war can be shown as:

Self\OpponentDSD120-75250-75AB120-75250-75

Hence, the constructed payoff matrix for the game of war represents the outcomes in the form of points awarded to the players.

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The product CD is undefined

Because the number of columns in matrix C (1 column) does not match the number of rows in matrix D (2 rows). In matrix multiplication, the number of columns in the first matrix must be equal to the number of rows in the second matrix for the product to be defined.

However, in this case, the dimensions do not satisfy this condition. As a result, the product CD is undefined. Matrix multiplication requires compatible dimensions, and when the dimensions of the matrices do not align properly, the product cannot be calculated. Therefore, in this scenario, we conclude that the matrix product CD is undefined. Since this condition is not met in the given scenario, CD is undefined.

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The probability that a student who has an A is a male is 60%.

To find the probability that a student who has an A is a male, we need to calculate the ratio of the number of male students with an A to the total number of students with an A.

Given that there are 19 students in total, and 6 of them are female, we can determine that there are 19 - 6 = 13 male students. Out of these male students, 7 do not have an A. Therefore, the number of male students with an A is 13 - 7 = 6.

Now, we know that there are 10 students in total who have an A. Therefore, the probability that a student with an A is a male can be calculated as the ratio of the number of male students with an A to the total number of students with an A:

Probability = Number of male students with an A / Total number of students with an A

Probability = 6 / 10

Probability = 0.6 or 60%

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The differential equations are:

1. `y(t) = (e^(0.5t)sin((sqrt(4r - 3)t)/2))/(sqrt(4r - 3))`

2. `x(t) = 1 - cos(t)`

3. `y(t) = 3te^(3t) - e^(3t) + (1/2)e^(15t)`

Here are the properly spaced solutions:

The Laplace transform of Y' is sY(s) - y(0). The Laplace transform of yr et is Y(s-r). Therefore, sY(s) - y(0) - Y(s-r) = 0. Solving this equation for Y(s), we get: Y(s) = (y(0))/(s-1) + (1)/(s-1+r). Substituting y(0) = 1 and rearranging the terms, we get: Y(s) = (s-1+r)/(s^2 - s - r) = (s - 0.5 + r - 0.5)/(s^2 - s - r). Using the inverse Laplace transform formula, we get: y(t) = (e^(0.5t)sin((sqrt(4r - 3)t)/2))/(sqrt(4r - 3)).

The Laplace transform of X'' is s^2 X(s) - sx(0) - x'(0). The Laplace transform of x(t) is X(s). Therefore, s^2 X(s) - x'(0) - X(s) = 4/(s^2 + 1). Substituting x'(0) = 1 and rearranging the terms, we get: X(s) = (s^2 + 1)/(s^3 + s). Using partial fraction decomposition, we can rewrite this as: X(s) = 1/s - 1/(s^2 + 1) + 1/s. Using the inverse Laplace transform formula, we get: x(t) = 1 - cos(t).

The Laplace transform of Y' is sY(s) - y(0). The Laplace transform of 6y' is 6sY(s) - 6y(0). The Laplace transform of 9y is 9Y(s). The Laplace transform of 6t e^(3t) is 6/(s-3)^2. Therefore, sY(s) - y(0) - (6sY(s) - 6y(0)) - 9Y(s) = 6/(s-3)^2. Simplifying this equation, we get: Y(s) = 6/(s-3)^2(s-15). Using partial fraction decomposition, we can rewrite this as: Y(s) = (1)/(s-3)^2 - (1)/(s-3) + (1)/(s-15). Using the inverse Laplace transform formula, we get: y(t) = 3te^(3t) - e^(3t) + (1/2)e^(15t).

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The correct options that could be an example of a function with a domain (-∞0,00) and a range (-∞,4) are given below.Option A. V = -(0.25)x - 4 Option B. V = − (0.25)x+4

A function can be defined as a special relation where each input has exactly one output. The set of values that a function takes as input is known as the domain of the function. The set of all output values that are obtained by evaluating a function is known as the range of the function.

From the given options, only option A and option B are the functions that satisfy the condition.Both of the options are linear equations and graph of linear equation is always a straight line. By solving both of the given options, we will get the range as (-∞, 4) and domain as (-∞, 0).Hence, the correct options that could be an example of a function with a domain (-∞0,00) and a range (-∞,4) are option A and option B.

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