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Darina [25.2K]
2 years ago
10

when 1760 is divided into 14 equal parts, the remainder is 10. what is the correct way to write the quotient?

Mathematics
1 answer:
ira [324]2 years ago
7 0

Answer:

125 R10

Step-by-step explanation:

You have to do (1760-10)/14=125

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12 pounds divided up between 27 sandwiches is 0.44 pounds for each sandwich. 12/27=0.44
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9.<br> y = }(x+6) – 5<br> m=<br> b=
Vinvika [58]

Answer:

2

Step-by-step explanation:

The answer I choose in particular is 2

5 0
3 years ago
Assume {v1, . . . , vn} is a basis of a vector space V , and T : V ------&gt; W is an isomorphism where W is another vector spac
Degger [83]

Answer:

Step-by-step explanation:

To prove that w_1,\dots w_n form a basis for W, we must check that this set is a set of linearly independent vector and it generates the whole space W. We are given that T is an isomorphism. That is, T is injective and surjective. A linear transformation is injective if and only if it maps the zero of the domain vector space to the codomain's zero and that is the only vector that is mapped to 0. Also, a linear transformation is surjective if for every vector w in W there exists v in V such that T(v) =w

Recall that the set w_1,\dots w_n is linearly independent if and only if  the equation

\lambda_1w_1+\dots \lambda_n w_n=0 implies that

\lambda_1 = \cdots = \lambda_n.

Recall that w_i = T(v_i) for i=1,...,n. Consider T^{-1} to be the inverse transformation of T. Consider the equation

\lambda_1w_1+\dots \lambda_n w_n=0

If we apply T^{-1} to this equation, then, we get

T^{-1}(\lambda_1w_1+\dots \lambda_n w_n) =T^{-1}(0) = 0

Since T is linear, its inverse is also linear, hence

T^{-1}(\lambda_1w_1+\dots \lambda_n w_n) = \lambda_1T^{-1}(w_1)+\dots +  \lambda_nT^{-1}(w_n)=0

which is equivalent to the equation

\lambda_1v_1+\dots +  \lambda_nv_n =0

Since v_1,\dots,v_n are linearly independt, this implies that \lambda_1=\dots \lambda_n =0, so the set \{w_1, \dots, w_n\} is linearly independent.

Now, we will prove that this set generates W. To do so, let w be a vector in W. We must prove that there exist a_1, \dots a_n such that

w = a_1w_1+\dots+a_nw_n

Since T is surjective, there exists a vector v in V such that T(v) = w. Since v_1,\dots, v_n is a basis of v, there exist a_1,\dots a_n, such that

a_1v_1+\dots a_nv_n=v

Then, applying T on both sides, we have that

T(a_1v_1+\dots a_nv_n)=a_1T(v_1)+\dots a_n T(v_n) = a_1w_1+\dots a_n w_n= T(v) =w

which proves that w_1,\dots w_n generate the whole space W. Hence, the set \{w_1, \dots, w_n\} is a basis of W.

Consider the linear transformation T:\mathbb{R}^2\to \mathbb{R}^2, given by T(x,y) = T(x,0). This transformations fails to be injective, since T(1,2) = T(1,3) = (1,0). Consider the base of \mathbb{R}^2 given by (1,0), (0,1). We have that T(1,0) = (1,0), T(0,1) = (0,0). This set is not linearly independent, and hence cannot be a base of \mathbb{R}^2

8 0
3 years ago
If you live in Dallas, then you live in Texas
viktelen [127]

Answer:

The <u>inverse </u>statement is given as follows;

If you do not live in Dallas, then you do not live in Texas

False

The <u>converse </u>statement is given as follows;

If you live in Texas then you live in Dallas

False

The <u>contrapositive</u> statement is given as follows;

If you do not live in Texas, then you do not live in Dallas

True

The <u>biconditional </u>statement is given as follows;

You live in Dallas, if and only if, you live in Texas

True

Step-by-step explanation:

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WILL GIVE BRAINLIEST. Identify 3 pairs of parallel segments
erik [133]

Answer:

OM AND BC, MN AND AC, AND ON AND AB

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