Practice: Basis and Dimension

Recognition · Interpretation

The vectors ( 1 , 0 , 1 ) and ( 0 , 1 , 2 ) in R 3 are linearly independent. Which statement is correct?

2 hints available, least help first.

Hint 1: Retrieval cue

How many elements does every basis of R 3 have?

Hint 2: Concept cue

Ask separately whether the set is independent and whether it spans. Which one is in doubt?

Direct application

In R 2 , let B = { ( 1 , 1 ) , ( 1 , − 1 ) } , an ordered basis.

The vector ( 5 , 1 ) has coordinates ( c 1 , c 2 ) with respect to B . What is c 1 ?

Enter the value. It is checked against the answer and the precision this task asks for.

2 hints available, least help first.

Hint 1: Retrieval cue

Write the defining equation c 1 v 1 + c 2 v 2 = w and compare components.

Hint 2: Concept cue

The two component equations are c 1 + c 2 = 5 and c 1 − c 2 = 1 . Add them.

Direct application · Transfer

The symmetric 2 × 2 real matrices, those satisfying M = M T , form a subspace of M 2 × 2 ( R ) .

What is its dimension?

Enter the value. It is checked against the answer and the precision this task asks for.

2 hints available, least help first.

Hint 1: Retrieval cue

Write the general form of a symmetric 2 × 2 matrix using as few letters as possible.

Hint 2: Concept cue

How many letters did you need? Each one is a coordinate, and the dimension counts them.

Recognition · Error diagnosis

A learner checks that ( 1 , 0 , 0 ) and ( 0 , 1 , 0 ) are linearly independent in R 3 and concludes that they form a basis of R 3 .

Which response identifies the error?

2 hints available, least help first.

Hint 1: Retrieval cue

A basis satisfies two conditions. Which of them has been checked here?

Hint 2: Concept cue

Can any combination of ( 1 , 0 , 0 ) and ( 0 , 1 , 0 ) produce ( 0 , 0 , 1 ) ?

Construction · Explanation · Transfer

(a) In R 3 , let S = { ( 1 , 1 , 0 ) , ( 2 , 2 , 0 ) , ( 0 , 1 , 1 ) , ( 1 , 2 , 1 ) } . Find a basis for span ⁡ ( S ) , state its dimension, and give an explicit dependence relation for each vector you discard.

(b) Let U = { ( x , y , z ) ∈ R 3 : 2 x − y + z = 0 } . Find a basis for U and state dim ⁡ U . Then find a different basis for the same U and say what the two have in common and why they must.

(c) In P 2 , decide whether { 1 + x , x + x 2 , 1 + x 2 } is a basis. Use the counting shortcut, stating which condition you checked and why the other follows.

(d) Compute the coordinates of p ( x ) = 3 + 2 x + x 2 with respect to the ordered basis { 1 , 1 + x , 1 + x + x 2 } of P 2 , and verify them by reconstruction.

(e) In part (b) you produced two different bases for one subspace. Explain what guarantees they have the same number of elements, and what would go wrong with the word "dimension" if that guarantee failed.

Write your answer, then compare it with the worked solution.

3 hints available, least help first.

Hint 1: Retrieval cue

For part (a), the basis consists of the original vectors in the pivot positions, not the columns of the reduced matrix.

Hint 2: Concept cue

For a subspace given by one equation, solve for one variable and read off the coefficient vector of each free variable.

Hint 3: Strategy cue

In part (c), count the vectors against the dimension first. If they match, one condition is enough.

Compare with the worked solution

Comparing does not record a result. Judging your own written answer cannot show that you can do this without help.

(a) A basis for span ⁡ ( S ) . Put the vectors as columns and reduce:

A = ( 1 2 0 1 1 2 1 2 0 0 1 1 ) ⟶ ( 1 2 0 1 0 0 1 1 0 0 0 0 ) .

Pivots in columns 1 and 3, so the basis is the original vectors there:

B = { ( 1 , 1 , 0 ) , ( 0 , 1 , 1 ) } , dim ⁡ span ⁡ ( S ) = 2 .

Dependences, read from the non-pivot columns: column 2 is ( 2 , 0 , 0 ) T , so ( 2 , 2 , 0 ) = 2 ( 1 , 1 , 0 ) ✓. Column 4 is ( 1 , 1 , 0 ) T , so ( 1 , 2 , 1 ) = ( 1 , 1 , 0 ) + ( 0 , 1 , 1 ) ✓. (b) A basis for U . Solve 2 x − y + z = 0 for y : y = 2 x + z , with x and z free. The general element is

( x , 2 x + z , z ) = x ( 1 , 2 , 0 ) + z ( 0 , 1 , 1 ) ,

so { ( 1 , 2 , 0 ) , ( 0 , 1 , 1 ) } spans U ; neither is a multiple of the other, so it is independent, and dim ⁡ U = 2 . A different basis: solve for z instead, z = y − 2 x , with x and y free, giving ( x , y , y − 2 x ) = x ( 1 , 0 , − 2 ) + y ( 0 , 1 , 1 ) and the basis { ( 1 , 0 , − 2 ) , ( 0 , 1 , 1 ) } . Both vectors satisfy the equation, 2 ( 1 ) − 0 + ( − 2 ) = 0 ✓ and 2 ( 0 ) − 1 + 1 = 0 ✓, and they are independent. What the two have in common is their size: two elements each. They must agree, because any two bases of the same space have the same number of elements. Their spans are equal (both are U ) even though no vector of one need appear in the other. (c) Is { 1 + x , x + x 2 , 1 + x 2 } a basis of P 2 ? dim ⁡ P 2 = 3 and the set has 3 elements, so the counting shortcut applies: it suffices to check independence, and spanning then follows. Suppose a ( 1 + x ) + b ( x + x 2 ) + c ( 1 + x 2 ) = 0 . Collecting coefficients:

constant:  a + c = 0 , x : a + b = 0 , x 2 : b + c = 0 .

From the first c = − a ; from the second b = − a ; substituting into the third gives − a − a = − 2 a = 0 , so a = 0 , hence b = c = 0 . The set is independent, and being 3 independent vectors in a 3-dimensional space, it is a basis. Why spanning follows: if it did not span, some p ∈ P 2 would lie outside its span, and adjoining p would give 4 independent vectors in a space of dimension 3, impossible by the exchange lemma. (d) Coordinates of 3 + 2 x + x 2 in { 1 , 1 + x , 1 + x + x 2 } . Solve

c 1 ( 1 ) + c 2 ( 1 + x ) + c 3 ( 1 + x + x 2 ) = 3 + 2 x + x 2 .

Match from the highest power down. x 2 : c 3 = 1 . x : c 2 + c 3 = 2 , so c 2 = 1 . Constant: c 1 + c 2 + c 3 = 3 , so c 1 = 1 . Coordinates ( 1 , 1 , 1 ) . Reconstruction: 1 + ( 1 + x ) + ( 1 + x + x 2 ) = 3 + 2 x + x 2 ✓. (e) Why the two bases in (b) must have the same size. The exchange lemma says that in a space spanned by n vectors, no independent set exceeds n elements. Given two bases B 1 and B 2 : B 1 spans and B 2 is independent, so | B 2 | ≤ | B 1 | ; B 2 spans and B 1 is independent, so | B 1 | ≤ | B 2 | . Hence they are equal. Without that guarantee, "the dimension of U " would not name anything. The number would depend on which basis was chosen, so two people describing the same plane could report different dimensions and neither would be wrong. Dimension would become a property of a description rather than of the space, and every statement resting on it, that n + 1 vectors in an n -dimensional space are dependent, that rank plus nullity is the dimension of the domain, would lose its meaning.

A complete answer does each of these:

  • extracts a basis
  • states the dimension
  • computes coordinates
  • applies the counting shortcut
  • works beyond coordinates
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