AI Tutor
Library
›Library›Mathematics›Matrix Theory and Linear Algebra›Vector spaces›Subspaces
Back to Matrix Theory and Linear Algebra

Subspaces

Applying the closure tests to subsets of R^2 and R^3 cut out by inequalities and products, producing counterexamples where addition or scaling escapes the set.

Matrix Theory and Linear Algebra, Subspaces

Status
FlagsLoading your progress…

3 exercises

Exercise 9.3.2

Consider the set of all vectors [xy]∈R2\left[\begin{array}{c}x\\ y\end{array}\right]\in\mathbb{R}^{2} such that x+y≥0x+y\geq 0. Is this a subspace of R2\mathbb{R}^{2}?

3.0

Exercise 9.3.3

Consider the set of all vectors [xy]∈R2\left[\begin{array}{c}x\\ y\end{array}\right]\in\mathbb{R}^{2} such that xy=0xy=0. Is this a subspace of R2\mathbb{R}^{2}?

3.0

Exercise 9.3.8

Let U={[x,y,z]T∈R3 ∣ ∣x∣≤4}U=\left\{\left.\left[x,y,z\right]^{T}\in\mathbb{R}^{3}~{}\right|~{}\left|x\right|\leq 4\right\}. Is UU a subspace of R3\mathbb{R}^{3}?

3.0
Linear combinations, span, and linear independenceBasis and dimension

Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.

AI Tutor

A study tool built on open educational resources. Content from OpenStax and other openly licensed textbooks — every book, section and exercise page carries its source’s license and attribution.

Product
  • About AI Tutor
  • Library
  • Premium
Legal
  • Terms of Service
  • Privacy Policy
© 2026 AI Tutor. Openly licensed content is attributed to its authors under their respective licenses.