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il63 [147K]
4 years ago
7

If​ A, B, and C are n times nn×n invertible​ matrices, does the equation Upper C Superscript negative 1 Baseline (Upper A plus U

pper X )Upper B Superscript negative 1 Baseline equals Upper I Subscript nC−1(A+X)B−1=In have a solution​ X? If​ so, find it.Select the correct choice below and, if necessary, fill in the answer box within your choice. A. The solution is X=___B. There is no solution
Mathematics
1 answer:
jeyben [28]4 years ago
5 0

Looks like the matrix equation is supposed to be

C^{-1}(A+X)B^{-1}=I_n

where I_n presumably denotes the n\times n identity matrix.

Since A,B,C are all invertible, we have by multiplying on the left by C,

C(C^{-1}(A+X)B^{-1})=CI_n

(CC^{-1})((A+X)B^{-1})=C

(A+X)B^{-1}=C

then multiplying on the right by B,

((A+X)B^{-1})B=CB

(A+X)(B^{-1}B)=CB

A+X=CB

and finally subtracting A from both sides to end up with

X=CB-A

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Answer:

Bottom left

Step-by-step explanation:

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maxonik [38]

Answer:

​a) If the null hypothesis is​ true, you'll get a high​ P-value. ​(it depends)

b) If the null hypothesis is​ true, a​ P-value of 0.01 will occur about​ 1% of the time. (false)

​c) A​ P-value of 0.90 means that the null hypothesis has a good chance of being true. ​(not only has a good chance it has strong evidence)

d) A​ P-value of 0.90 is strong evidence that the null hypothesis is true.(true)

Step-by-step explanation:

Before i answer this question, you need to understand that p-values give you the clues to identify when you can <u>accept the null hypothesis ( null hypothesis is true)</u> and when you can r<u>eject the null hypothesis (null hypothesis is not true).</u>

<u />

1. When you get a small p-value  (typically ≤ 0.05) values that are less or equal to 0.05, for example 0.01,  you reject the null hypothesis (null hypothesis is not true)

2. when you get a large p-value (> 0.05) values that are greater than 0.05, for example 0.94, 0.90. you can accept the null hypothesis because  indicates weak evidence against the null hypothesis (null hypothesis is true).

<u> This is the explanation:</u>

<u />

a) if the null hypothesis is true  you`ll get a high p-value<u> only if the p-value is ≥ 0.05</u>

b) if p value is less or equal to 0.05. Null hypothesis is not true.

c) A​ P-value of 0.90 means that the null hypothesis has a good chance of being true . It not only has a good chance it is strong evidence that null hypothesis is true.

d) A p-value of 0.90 is strong evidence that null hypothesis is true. p-values that are greater than 0.05  you can accept the null hypothesis (null hypothesis is true).

<u></u>

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