CS223 · Chapter 1 · Annotated SlidesLinear Independence
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Overview

Linear Independence

Linear independence and dependence of vectors and of a matrix’s columns, special cases (one vector, two vectors, more vectors than entries, the zero vector).

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Every original slide is shown unchanged. Yellow marks on a slide point to a numbered note: hover or tap a mark to jump to its note, and hover a note to see its marks. Questions tagged Past exam appeared on a real paper; Prediction questions are likely angles, not confirmed. Pick an answer to each question: a wrong pick tells you why it is wrong, so you can try again.

All 9 slides
  1. 1 Linear independence
  2. 2 Slide 2
  3. 3 Slide 3
  4. 4 Linearly Linearly independent A Set of One dependent
  5. 5 FACT
  6. 6 Example:
  7. 7 Example:
  8. 8 Slide 8
  9. 9 Slide 9
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Linear independence

Slide 1: Linear independence

Exam angle

Past exam · Major 1 (251)

Related question: this topic is examined

Past exam · Final (232)

Related question: this topic is examined

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Slide 2

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Slide 3

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Linearly Linearly independent A Set of One dependent

Slide 4: Linearly Linearly independent A Set of One dependent
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FACT

Slide 5: FACT

Notes

  1. Facts: a set containing 0 is dependent; two vectors are dependent ⇔ one is a multiple of the other; MORE vectors than entries (p > n) ⇒ dependent.

  2. Memory trick p vectors in ℝⁿ with p > n are always dependent.

Exam angle

PredictionQ1

Four vectors in ℝ³ are:

PredictionQ2

If a set contains the zero vector, it is linearly dependent.

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Example:

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Example:

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Slide 9

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