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Math · Linear Algebra

Chapter 1: Vectors and Linear Combinations

Linear Independence

Which vectors are actually earning their place.

Lesson
3
Time
About 23 minutes
0 of 12 done
Part 1 of 7Let's Learn

Step 1: Let's Learn

Read it, or press Listen and follow the words.

Watch the idea first — 57 seconds. Then read on, and try it yourself in the next step.

Are ⟨1, 0⟩, ⟨0, 1⟩ and ⟨3, 5⟩ independent?

  1. 1three vectors, two dimensionsmore vectors than directions
  2. 2⟨3, 5⟩ = 3⟨1, 0⟩ + 5⟨0, 1⟩the third is built from the other two
  3. Answerdependent: the third is redundantresult

A set of vectors is dependent when one can be written from the others, and independent when none can. The formal test: the only combination giving the zero vector uses every coefficient zero. For two vectors, dependent means one is a multiple of the other, which the determinant ad − bc detects. More vectors than dimensions are always dependent.

Two vectors

⟨2, 4⟩ and ⟨3, 6⟩: ratios 3/2 and 6/4 are both 1.5, so ⟨3, 6⟩ = 1.5⟨2, 4⟩. Dependent. ⟨2, 4⟩ and ⟨3, 5⟩: ratios 1.5 and 1.25 differ. Independent.

The formal test

a⟨2, 4⟩ + b⟨3, 6⟩ = ⟨0, 0⟩ with a = 3, b = −2: ⟨6 − 6, 12 − 12⟩ = ⟨0, 0⟩. Non-zero coefficients reached zero, so the set is dependent. For an independent set, only a = b = 0 works.

The determinant

For columns ⟨a, c⟩ and ⟨b, d⟩, ad − bc = 0 exactly when one is a multiple of the other. ⟨2, 4⟩, ⟨3, 6⟩: 12 − 12 = 0, dependent. ⟨2, 4⟩, ⟨3, 5⟩: 10 − 12 = −2, independent.

Count first

Three vectors in the plane are always dependent, four in space, and so on. You cannot have more independent directions than dimensions, so counting settles the question before any arithmetic.

The zero vector spoils it

Any set containing ⟨0, 0⟩ is dependent: 1 × ⟨0, 0⟩ + 0 × everything else = ⟨0, 0⟩ with a non-zero coefficient. The zero vector adds no direction and fails the test on its own.

Why it matters

Independent vectors each earn their place: removing one shrinks the span. Dependent sets carry passengers. Chapter 6 builds bases from exactly the vectors that earn their place.

Step 2: Try It Yourself

Tap and try it out.

Press Next step. Ratios, a non-zero combination, then ad − bc for each pair.

Test ⟨2, 4⟩ and ⟨3, 6⟩ for independence, then ⟨2, 4⟩ and ⟨3, 5⟩, by ratios, by a combination, and by the determinant

  1. 13/2 = 1.5 and 6/4 = 1.5: ⟨3, 6⟩ = 1.5⟨2, 4⟩a multiple: dependent
Step 0 of 4
A determinant of zero is exactly linear dependence. Line the two arrows up and watch it drop to zero.
ij
  • i-hat lands on(3, 1)
  • j-hat lands on(1, 2)
  • Determinant5

The shaded parallelogram is the image of the unit square, and its area is 5. That is exactly what the determinant measures.

Step 3: In Real Life

Redundant sensors

Three sensors, one of which always reads the average of the other two, give only two pieces of information. Independence says which measurements are actually earning their place.

Step 4: Watch an Example

One step at a time.

Watch Yuki Spot a Redundancy

Yuki tests ⟨1, 0⟩, ⟨0, 1⟩ and ⟨3, 5⟩ for independence.

  1. Step 1

    She counts three vectors in a two-dimensional plane, which can hold at most two independent directions.

Step 5: Your Turn

Practice makes it stick.

The Count

Problem 1 of 2

Four vectors in the plane. Are they independent?

The Multiple

Problem 2 of 2

⟨2, 5⟩ and ⟨6, 15⟩. Are they independent?

Independent or Not

1 of 8

⟨1, 0⟩ and ⟨0, 1⟩. Independent?

2 of 8

⟨3, 6⟩ and ⟨1, 2⟩. Independent?

3 of 8

A set containing the zero vector. Independent?

4 of 8

At most how many independent vectors fit in three-dimensional space?

5 of 8

Two independent vectors in the plane have a determinant of what, if anything but zero?

6 of 8

Five vectors in three-dimensional space. Independent?

7 of 8

Match each situation to its verdict.

Tap a card on the left to start.

8 of 8

⟨4, 1⟩ and ⟨1, 4⟩. Independent?

Step 6: Quick Check

Show what you know.

Question 1 of 2

⟨2, 3⟩ and ⟨4, 6⟩. Independent?

Question 2 of 2

What does linear dependence mean?

What You Learned

  • Vectors are dependent when one can be built from the others, and independent when none can.
  • In the plane, two vectors are dependent exactly when one is a multiple of the other, and ad − bc = 0 detects it.
  • The formal test asks whether a non-zero combination can reach the zero vector.
  • More vectors than dimensions are always dependent, so count first.