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Is (1, 0, 0), (1, 1, 0), (1, 1, 1) a basis for R^3

Step by step, with the reason for every step · Basis and coordinates · Linear Algebra

Step by step

The question

Question: are (1, 0, 0), (1, 1, 0) and (1, 1, 1) a basis for R³?

v1 = [1; 0; 0], v2 = [1; 1; 0], v3 = [1; 1; 1]

A basis for R³ is a set of vectors that are independent, and that make every vector of R³ as a linear combination.

basis for R³: independent, and every vector
is a linear combination of them

1 Count the vectors

There are 3 vectors, and R³ needs exactly 3.

Good.

Now: are they independent?

2 Write the matrix

Each vector goes in as a column: the first entries make row 1, the second entries row 2.

We test independence, so the right side is 0s.

Every move keeps them 0, so we leave them out.

= [1, 1, 1; 0, 1, 1; 0, 0, 1]

We call the rows R 1, R 2 and R 3.

3 Row reduce

We use the three row moves: swap two rows, times a row by a number that is not 0, add a multiple of one row to another.

They never change the answers.

Our goal: a leading 1 in each row, with 0s above and below it.

swap two rows
× a row by a number (not 0)
add a multiple of one row to another
→ [1, 0, 0; 0, 1, 1; 0, 0, 1]
→ [1, 0, 0; 0, 1, 0; 0, 0, 1]

4 Count the leading 1s

The first number that is not 0 in each row is a 1.

We call it a leading 1, and ring it.

Careful!

For 3 vectors in R³, independent is enough.

Then they also reach every vector.

Careful: 3 vectors in R³: independent is enough

Every column has a leading 1.

So the vectors are independent.

a leading 1 in all 3 columns: independent

So they are a basis for R³.

= a basis for R³

5 Check

Let's check with the determinant of the same matrix.

A basis: it is not 0.

Not a basis: it is 0.

D = |1, 1, 1; 0, 1, 1; 0, 0, 1|1, 1; 0, 1; 0, 0

Down: 1.

down: 1 × 1 × 1 + 1 × 1 × 0 + 1 × 0 × 0 = 1

Up: 0.

up: 0 × 1 × 1 + 0 × 1 × 1 + 1 × 0 × 1 = 0

Down minus up: D = 1.

D = 1 − 0 = 1

D is 1, not 0.

So they are a basis: the answer is right!

Let's look back.

First: count the vectors.

Then: write the matrix.

Then: row reduce.

Then: count the leading 1s.

Last: check.

Answer
= a basis for R³

Your turn

Try this one yourself, then check:

Basis for R³? [1; 0; 0], [1; 1; 0], [1; 3; 1]
Show the answer
a basis for R³

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