Back to Linear Algebra

Range Space and Null Space

Rank and nullity measure how far a map falls short of onto and of one-to-one, and always sum to the dimension of the domain.

Linear Algebra, Range Space and Null Space

Status
FlagsLoading your progress…

26 exercises

Exercise 1

Let h ⁣:P3→P4h\colon\mathcal{P}_{3}\to\mathcal{P}_{4} be given by p(x)↦x⋅p(x)p(x)\mapsto x\cdot p(x). Which of these are in the null space? Which are in the range space?

  • (a)  x3x^{3}     (b)  00     (c)  77     (d)  12x−0.5x312x-0.5x^{3}     (e)  1+3x2−x31+3x^{2}-x^{3}

3.0

Exercise 2

Find the range space and the rank of each homomorphism.

  • h ⁣:P3→R2h\colon\mathcal{P}_{3}\to\mathbb{R}^{2} given by

  • f ⁣:R2→R3f\colon\mathbb{R}^{2}\to\mathbb{R}^{3} given by

3.0

Exercise 3

Find the range space and rank of each map.

  • h ⁣:R2→P3h\colon\mathbb{R}^{2}\to\mathcal{P}_{3} given by

  • h ⁣:M2 ⁣× ⁣2→Rh\colon\mathcal{M}_{2\!\times\!2}\to\mathbb{R} given by

  • h ⁣:M2 ⁣× ⁣2→P2h\colon\mathcal{M}_{2\!\times\!2}\to\mathcal{P}_{2} given by

  • the zero map Z ⁣:R3→R4Z\colon\mathbb{R}^{3}\to\mathbb{R}^{4}

3.0

Exercise 4

For each linear map in the prior exercise, find the null space and nullity.

3.0

Exercise 5

Find the nullity of each map below.

  • (a)  h ⁣:R5→R8h\colon\mathbb{R}^{5}\to\mathbb{R}^{8} of rank five     (b)  h ⁣:P3→P3h\colon\mathcal{P}_{3}\to\mathcal{P}_{3} of rank one     (c)  h ⁣:R6→R3h\colon\mathbb{R}^{6}\to\mathbb{R}^{3}, an onto map     (d)  h ⁣:M3 ⁣× ⁣3→M3 ⁣× ⁣3h\colon\mathcal{M}_{3\!\times\!3}\to\mathcal{M}_{3\!\times\!3}, onto

3.0

Exercise 6

What is the null space of the differentiation transformation d/dx ⁣:Pn→Pnd/dx\colon\mathcal{P}_{n}\to\mathcal{P}_{n}? What is the null space of the second derivative, as a transformation of Pn\mathcal{P}_{n}? The kk-th derivative?

3.0

Exercise 7

For the map h ⁣:R3→R2h\colon\mathbb{R}^{3}\to\mathbb{R}^{2} given by

find the range space, rank, null space, and nullity.

3.0

Exercise 8

Example 2.7 restates the first condition in the definition of homomorphism as ‘the shadow of a sum is the sum of the shadows’. Restate the second condition in the same style.

3.0

Exercise 9

For the homomorphism h ⁣:P3→P3h\colon\mathcal{P}_{3}\to\mathcal{P}_{3} given by h(a0+a1x+a2x2+a3x3)=a0+(a0+a1)x+(a2+a3)x3h(a_{0}+a_{1}x+a_{2}x^{2}+a_{3}x^{3})=a_{0}+(a_{0}+a_{1})x+(a_{2}+a_{3})x^{3} find these.

  • (a)  N(h)\mathscr{N}(h)     (b)  h−1(2−x3)h^{-1}(2-x^{3})     (c)  h−1(1+x2)h^{-1}(1+x^{2})

3.0

Exercise 11

Each of these transformations of P3\mathcal{P}_{3} is one-to-one. For each, find the inverse.

  • a0+a1x+a2x2+a3x3↦a0+a1x+2a2x2+3a3x3a_{0}+a_{1}x+a_{2}x^{2}+a_{3}x^{3}\mapsto a_{0}+a_{1}x+2a_{2}x^{2}+3a_{3}x^{3}

  • a0+a1x+a2x2+a3x3↦a0+a2x+a1x2+a3x3a_{0}+a_{1}x+a_{2}x^{2}+a_{3}x^{3}\mapsto a_{0}+a_{2}x+a_{1}x^{2}+a_{3}x^{3}

  • a0+a1x+a2x2+a3x3↦a1+a2x+a3x2+a0x3a_{0}+a_{1}x+a_{2}x^{2}+a_{3}x^{3}\mapsto a_{1}+a_{2}x+a_{3}x^{2}+a_{0}x^{3}

  • a0+a1x+a2x2+a3x3↦a0+(a0+a1)x+(a0+a1+a2)x2+(a0+a1+a2+a3)x3a_{0}+a_{1}x+a_{2}x^{2}+a_{3}x^{3}\mapsto a_{0}+(a_{0}+a_{1})x+(a_{0}+a_{1}+a_{2})x^{2}+(a_{0}+a_{1}+a_{2}+a_{3})x^{3}

3.0

Exercise 12

Describe the null space and range space of a transformation given by v⃗↦2v⃗\vec{v}\mapsto 2\vec{v}.

3.0

Exercise 13

List all pairs (rank(h),nullity(h))(\text{rank}(h),\text{nullity}(h)) that are possible for linear maps from R5\mathbb{R}^{5} to R3\mathbb{R}^{3}.

3.0

Exercise 14

Does the differentiation map d/dx ⁣:Pn→Pnd/dx\colon\mathcal{P}_{n}\to\mathcal{P}_{n} have an inverse?

3.0

Exercise 15

Find the nullity of this map h ⁣:Pn→Rh\colon\mathcal{P}_{n}\to\mathbb{R}.

3.0

Exercise 16

  • Prove that a homomorphism is onto if and only if its rank equals the dimension of its codomain.

  • Conclude that a homomorphism between vector spaces with the same dimension is one-to-one if and only if it is onto.

3.0

Exercise 17

Show that a linear map is one-to-one if and only if it preserves linear independence.

3.0

Exercise 18

Corollary 2.17 says that for there to be an onto homomorphism from a vector space VV to a vector space WW, it is necessary that the dimension of WW be less than or equal to the dimension of VV. Prove that this condition is also sufficient; use Theorem 1.9 to show that if the dimension of WW is less than or equal to the dimension of VV, then there is a homomorphism from VV to WW that is onto.

3.0

Exercise 19

Recall that the null space is a subset of the domain and the range space is a subset of the codomain. Are they necessarily distinct? Is there a homomorphism that has a nontrivial intersection of its null space and its range space?

3.0

Exercise 20

Prove that the image of a span equals the span of the images. That is, where h ⁣:V→Wh\colon V\to W is linear, prove that if SS is a subset of VV then h([S])h([S]) equals [h(S)][h(S)]. This generalizes Lemma 2.1 since it shows that if UU is any subspace of VV then its image {h(u⃗)∣u⃗∈U}\{\hskip 1.00006pth(\vec{u})\mid\vec{u}\in U\hskip 1.00006pt\} is a subspace of WW, because the span of the set UU is UU.

3.0

Exercise 21

  • Prove that for any linear map h ⁣:V→Wh\colon V\to W and any w⃗∈W\vec{w}\in W, the set h−1(w⃗)h^{-1}(\vec{w}) has the form

    (if hh is not onto and w⃗\vec{w} is not in the range of hh then this set is empty since its third condition cannot be satisfied). Such a set is a coset of N(h)\mathscr{N}(h) and we denote it as v⃗+N(h)\vec{v}+\mathscr{N}(h).

  • Consider the map t ⁣:R2→R2t\colon\mathbb{R}^{2}\to\mathbb{R}^{2} given by

    for some scalars aa, bb, cc, and dd. Prove that tt is linear.

  • Conclude from the prior two items that for any linear system of the for…

3.0

Exercise 22

Prove that for any transformation t ⁣:V→Vt\colon V\to V that is rank one, the map given by composing the operator with itself t∘t ⁣:V→Vt\mathbin{\circ}t\colon V\to V satisfies t∘t=r⋅tt\mathbin{\circ}t=r\cdot t for some real number rr.

3.0

Exercise 23

Let h ⁣:V→Rh\colon V\to\mathbb{R} be a homomorphism, but not the zero homomorphism. Prove that if ⟨β⃗1,…,β⃗n⟩\langle\vec{\beta}_{1},\dots,\vec{\beta}_{n}\rangle is a basis for the null space and if v⃗∈V\vec{v}\in V is not in the null space then ⟨v⃗,β⃗1,…,β⃗n⟩\langle\vec{v},\vec{\beta}_{1},\dots,\vec{\beta}_{n}\rangle is a basis for the entire domain VV.

3.0

Exercise 24

Show that for any space VV of dimension nn, the dual space

is isomorphic to Rn\mathbb{R}^{n}. It is often denoted V∗V^{\ast}. Conclude that V∗≅VV^{\ast}\cong V.

3.0

Exercise 25

Show that any linear map is the sum of maps of rank one.

3.0

Exercise 26

Is ‘is homomorphic to’ an equivalence relation? (Hint: the difficulty is to decide on an appropriate meaning for the quoted phrase.)

3.0

Exercise 27

Show that the range spaces and null spaces of powers of linear maps t ⁣:V→Vt\colon V\to V form descending

and ascending

chains. Also show that if kk is such that R(tk)=R(tk+1)\mathscr{R}(t^{k})=\mathscr{R}(t^{k+1}) then all following range spaces are equal: R(tk)=R(tk+1)=R(tk+2)… \mathscr{R}(t^{k})=\mathscr{R}(t^{k+1})=\mathscr{R}(t^{k+2})\ldots\,. Similarly, if N(tk)=N(tk+1)\mathscr{N}(t^{k})=\mathscr{N}(t^{k+1}) then N(tk)=N(tk+1)=N(tk+2)=… \mathscr{N}(t^{k})=\mathscr{N}(t^{k+1})=\mathscr{N}(t^{k+2})=\ldots\,.

3.0

Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.