What x value solves the equation? 3x - 5 = 1 x=

Mathematics

2 answers:

strojnjashka [21]3 years ago

8 0

Answer:

x = 2

Step-by-step explanation:

Step 1: Write equation

3x - 5 = 1

Step 2: Solve for x

Add 5 to both sides: 3x = 6
Divide both sides by 3: x = 2

Step 3: Check

Plug in x to verify it's a solution.

3(2) - 5 = 1

6 - 5 = 1

1 = 1

deff fn [24]3 years ago

4 0

Answer:

x=2

Step-by-step explanation:

3x-5=1

add 5 to 1

3x=6

divide 3 by 6

x=2

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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

Definition (Linear Independence)

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.

Definition (Span of a Set of Vectors)

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

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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 $R^3$ .