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Ivahew [28]
3 years ago
5

hellllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllpppppppppppppppppppppppppppppp

Mathematics
1 answer:
marysya [2.9K]3 years ago
4 0

Answer:

f(x) = |x| + 8

Step-by-step explanation:

Gotta love that ixl right! hahaha #hateit4u

I had to use it in 8th grade, IT SUCKED!!!

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7968 because you multiply the two numbers to get the final answer
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Estimate the equation 12+ 19.61
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<em>QUESTION:</em>

<em>QUESTION:estimate the equation 12+19.61.</em>

<em>QUESTION:estimate the equation 12+19.61.Answer:</em>

<em>QUESTION:estimate the equation 12+19.61.Answer:12+19.61 =31.61.</em>

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3 years ago
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Assume V and W are​ finite-dimensional vector spaces and T is a linear transformation from V to​ W, T: Upper V right arrow Upper
scZoUnD [109]

Answer:

Thus for the vectors v_1, v_2, v_p there are scalars c_1, c_2, c_p not all zeros, such that c_1v_1 +c_2v_2+... +c_pv_p = 0. It means that the vectors v_1, v_2, v_p are linearly dependent in contradiction with the fact that the vectors form a basis for H. So the assumption that T(v_1), T(v_2),..., T(v_p) are linearly dependent is false, proving the required.  

Step-by-step explanation:

Let B = {v_1 ,v_2,..., v_p} be a basis of H, that is dim H = p and for any v ∈ H there are scalars c_1 , c_2, c_p, such that v = c_1*v_1 + c_2*v_2 +....+ C_p*V_p It follows that  

T(v) = T(c_1*v_1 + c_2v_2 + ••• + c_pV_p) = c_1T(v_1) +c_2T(v_2) + c_pT(v_p)

so T(H) is spanned by p vectors T(v_1),T(v_2), T(v_p). It is enough to prove that these vectors are linearly independent. It will imply that the vectors form a basis of T(H), and thus dim T(H) = p = dim H.  

Assume in contrary that T(v_1 ), T(v_2), T(v_p) are linearly dependent, that is there are scalars c_1, c_2, c_p not all zeros, such that  

c_1T(v_1) + c_2T(v_2) +.... + c_pT(v_p) = 0

T(c_1v_1) + T(c_2v_2) +.... + T(c_pv_p) = 0

T(c_1v_1+ c_2v_2 ... c_pv_p) = 0  

But also T(0) = 0 and since T is one-to-one, it follows that c_1v_1 + c_2v_2 +.... + c_pv_p = O.

Thus for the vectors v_1, v_2, v_p there are scalars c_1, c_2, c_p not all zeros, such that c_1v_1 +c_2v_2+... +c_pv_p = 0. It means that the vectors v_1, v_2, v_p are linearly dependent in contradiction with the fact that the vectors form a basis for H. So the assumption that T(v_1), T(v_2),..., T(v_p) are linearly dependent is false, proving the required.  

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What is the mean absolute deviation of the data set?<br><br> {21, 22, 24, 26, 27, 28, 20, 30}
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What you have to do is get quarterly 1 and quarterly 3 and subtract them and you will get the answer 48-46=2, Hope this helps! ;D
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Thousands of your talking about 9,99O but if it's only one nine it's either tens hundreds or thousand
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