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alukav5142 [94]
3 years ago
11

PLEASE HELP!!! WILL MARK BRAINLEIST

Mathematics
1 answer:
Ksju [112]3 years ago
6 0
The volume is 1494.35
The formula is length times height adding the bases than divided it by 2
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The decimal expression for 8 km 5 m is
Neko [114]

Answer:

8.005 km

Step-by-step explanation:

There are 1000 meters in a kilometer, so:

5/1000 = 1/200 = 0.005

8 km + 0.005 km = 8.005 km

3 0
4 years ago
Rewrite 4 x 4 x 4 x 4 x4 using a exponent​
alukav5142 [94]

Answer:4 to the 4th power

Step-by-step explanation:

4^4

3 0
3 years ago
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Evaluate the discriminant.<br> Exact answer (no rounding)<br> 0= -4x – 24x – 38
frutty [35]
Answer: x= -19/14 —> (19 over 14)

8 0
3 years ago
12
Serhud [2]

A circle is characterized by radius, arc, sectors and circumference

  • The length of the major arc is 18.75\pi
  • The radius of the circle is 15
  • The area of the shaded sector is 140.625 * \pi

<h3>Length of the major arc</h3>

The given parameters are:

C = 30\pi --- the circumference

\theta = 225^o -- the center angle

The length of the major arc is calculated using:

L = \frac{\theta}{360} * C

So, we have:

L = \frac{225}{360} *30\pi

Evaluate

L = 18.75\pi

Hence, the length of the major arc is 18.75\pi

<h3>The radius of the circle</h3>

The circumference is given as:

C = 30\pi

So, we have:

2\pi r = 30\pi

Divide through by 2pi

r = 15

Hence, the radius of the circle is 15

<h3>The area of the shaded sector</h3>

The area of a sector is:

A = \frac{\theta}{360} * \pi r^2

So, we have:

A = \frac{225}{360} * \pi * 15^2

Evaluate

A = 140.625 * \pi

Hence, the area of the shaded sector is 140.625 * \pi

Read more about circumference at:

brainly.com/question/15673093

6 0
2 years ago
All vectors are in Rn. Check the true statements below:
Oduvanchick [21]

Answer:

A), B) and D) are true

Step-by-step explanation:

A) We can prove it as follows:

Proy_{cv}y=\frac{(y\cdot cv)}{||cv||^2}cv=\frac{c(y\cdot v)}{c^2||v||^2}cv=\frac{(y\cdot v)}{||v||^2}v=Proy_{v}y

B) When you compute the product Ax, the i-th component is the matrix of the i-th column of A with x, denote this by Ai x. Then, we have that ||Ax||=\sqrt{(A_1 x)^2+\cdots (A_n x)^2}. Now, the colums of A are orthonormal so we have that (Ai x)^2=x_i^2. Then ||Ax||=\sqrt{(x_1)^2+\cdots (x_n)^2}=||x||.

C) Consider S=\{(0,2),(2,0)\}\subseteq \mathbb{R}^2. This set is orthogonal because (0,2)\cdot(2,0)=0(2)+2(0)=0, but S is not orthonormal because the norm of (0,2) is 2≠1.

D) Let A be an orthogonal matrix in \mathbb{R}^n. Then the columns of A form an orthonormal set. We have that A^{-1}=A^t. To see this, note than the component b_{ij} of the product A^t A is the dot product of the i-th row of A^t and the jth row of A. But the i-th row of A^t is equal to the i-th column of A. If i≠j, this product is equal to 0 (orthogonality) and if i=j this product is equal to 1 (the columns are unit vectors), then A^t A=I    

E) Consider S={e_1,0}. S is orthogonal but is not linearly independent, because 0∈S.

In fact, every orthogonal set in R^n without zero vectors is linearly independent. Take a orthogonal set \{u_1,u_2\cdots u_p\} and suppose that there are coefficients a_i such that a_1u_1+a_2u_2\cdots a_nu_n=0. For any i, take the dot product with u_i in both sides of the equation. All product are zero except u_i·u_i=||u_i||. Then a_i||u_i||=0 then a_i=0.  

5 0
4 years ago
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