Lecture 20 · Week 5· 16:50

Basis and dimension in Rn

Bases of subspaces, dimension, Steinitz exchange idea.

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In this lecture

  1. Today: describing a subspace
  2. Bases
  3. Coordinates
  4. Shrink or grow
  5. The key theorem
  6. The exchange idea
  7. Dimension
  8. Bases of Col A and Nul A
  9. When the count is right
  10. Summary

Materials

Check yourself

Try it before you look

  1. Let . Find a basis of and a basis of , and check that the dimensions add up to .
  2. Is a basis of ? Is it a basis of ? (Use Example 2.6.11.)
  3. True or false: if is a subspace of and , then . Justify your answer.

Work it out on paper first. Then open the hint if you are stuck, and the answer to check.

1Hint

Everything you need is in Section 4.2 of the course book. Open it at page 7 of the chapter PDF; any theorem the question names is stated there, with an example worked the same way.

2Answer
  1. gives row ; then gives row . So the reduced row echelon form is , with pivots in columns and . By Theorem 4.2.14(a), the pivot columns of , and , form a basis of , so (here ). The free variable is , and the rows give , , so and is a basis of (Theorem 4.2.14(b)). Check: , and , the number of columns.
  2. Over , yes: the three vectors are independent (Example 2.6.11), there are of them and , so they form a basis by Theorem 4.2.16(a). Over , no: there , so the list is dependent, and a basis must be independent.
  3. True. Apply Theorem 4.2.16
  4. with in the role of and our in the role of : and (Example 4.2.13), so .