Find the missing side of the triangle shown below, if the perimeter is 81.

Mathematics

1 answer:

notsponge [240]2 years ago

7 0

The missing side of the triangle if the perimeter is equals to 81 is 28.8

<h3>Perimeter:</h3>

Perimeter is the sum of the whole sides of a figure. The perimeter of the triangle above is the sum of the whole three sides.

Therefore,

let

the missing side = x

perimeter = 81

27.7 + 24.5 + x = 81

52.2 + x = 81

subtract 52.2 from both sides

52.2 - 52.2 + x = 81 - 52.2

x = 28.8

learn more on triangle here: brainly.com/question/26194439?referrer=searchResults

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PLZ HELP ME!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!:(

-Dominant- [34]

Sorry for taking so long, it wont let me type a while ago. I have it all fix now hehe. I took a picture of my work, ask me if you still don’t understand.

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2 years ago

Determine whether the set of vectors is a basis for ℛ3. Given the set of vectors , decide which of the following statements is t

schepotkina [342]

Answer:

(A) Set A is linearly independent and spans $R^3$ . Set is a basis for $R^3$ .

Step-by-Step Explanation

<u>Definition (Linear Independence)</u>

A set of vectors is said to be linearly independent if at least one of the vectors can be written as a linear combination of the others. The identity matrix is linearly independent.

<u>Definition (Span of a Set of Vectors)</u>

The Span of a set of vectors is the set of all linear combinations of the vectors.

<u>Definition (A Basis of a Subspace).</u>

A subset B of a vector space V is called a basis if: (1)B is linearly independent, and; (2) B is a spanning set of V.

Given the set of vectors $A= \left(\begin{array}{[c][c][c][c]}1 & 0 & 0 & 0\\ 0 & 1 & 0 & 1\\ 0 & 0 & 1 & 1\end{array} \right)$ , we are to decide which of the given statements is true:

In Matrix $A= \left(\begin{array}{[c][c][c][c]}(1) & 0 & 0 & 0\\ 0 & (1) & 0 & 1\\ 0 & 0 & (1) & 1\end{array} \right)$ , the circled numbers are the pivots. There are 3 pivots in this case. By the theorem that The Row Rank=Column Rank of a Matrix, the column rank of A is 3. Thus there are 3 linearly independent columns of A and one linearly dependent column. $R^3$ has a dimension of 3, thus any 3 linearly independent vectors will span it. We conclude thus that the columns of A spans $R^3$ .