Question
upstudy study bank question image url

Attempt 1: 10 attempts remaining. Let \( \vec{u}=\left[\begin{array}{c}1 \\ -7 \\ 0 \\ -4\end{array}\right], \vec{v}=\left[\begin{array}{l}0 \\ 0 \\ 1 \\ 7\end{array}\right] \), and let \( W \) the subspace of \( \mathbb{R}^{4} \) spanned by \( \{\vec{u}, \vec{v}\} \). Find a basis for \( W^{\perp} \). Answer: Submit answer

Ask by Love Weber. in the United States
Feb 20,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

A basis for \( W^\perp \) is \( \left\{ \begin{bmatrix}7 \\ 1 \\ 0 \\ 0\end{bmatrix}, \begin{bmatrix}4 \\ 0 \\ -7 \\ 1\end{bmatrix} \right\} \).

Solution

We are given u = [1, -7, 0, -4]ᵀ and v = [0, 0, 1, 7]ᵀ, and we want a basis for W⊥, where W = span{u, v}. A vector x = [x₁, x₂, x₃, x₄]ᵀ is in W⊥ if and only if x is orthogonal to both u and v. This gives us the following equations: 1) x • u = x₁ - 7x₂ - 4x₄ = 0 2) x • v = x₃ + 7x₄ = 0 From equation (2), we have:   x₃ = -7x₄. Let x₂ and x₄ be free parameters. Denote x₂ = s and x₄ = t (with s, t ∈ ℝ). Then equation (1) becomes:   x₁ - 7s - 4t = 0 ⟹ x₁ = 7s + 4t. Thus, any vector x in W⊥ can be written as:   x = [7s + 4t, s, -7t, t]ᵀ = s[7, 1, 0, 0]ᵀ + t[4, 0, -7, 1]ᵀ. A basis for W⊥ is therefore:   { [7, 1, 0, 0]ᵀ, [4, 0, -7, 1]ᵀ }.

Answered by UpStudy AI and reviewed by a Professional Tutor

error msg
Explain
Simplify this solution

The Deep Dive

To find a basis for \( W^{\perp} \), the orthogonal complement of the subspace \( W \), we need to find all vectors \( \vec{w} = \begin{bmatrix} x_1 \\ x_2 \\ x_3 \\ x_4 \end{bmatrix} \in \mathbb{R}^4 \) that are orthogonal to both vectors \( \vec{u} \) and \( \vec{v} \) in \( W \). This means we need to solve the following system of equations derived from the dot product: 1. \( \vec{u} \cdot \vec{w} = 0 \) gives us: \[ 1x_1 - 7x_2 + 0x_3 - 4x_4 = 0 \quad \Rightarrow \quad x_1 - 7x_2 - 4x_4 = 0 \] 2. \( \vec{v} \cdot \vec{w} = 0 \) gives us: \[ 0x_1 + 0x_2 + 1x_3 + 7x_4 = 0 \quad \Rightarrow \quad x_3 + 7x_4 = 0 \quad \Rightarrow \quad x_3 = -7x_4 \] Now, we can express \( x_1 \) and \( x_3 \) in terms of \( x_2 \) and \( x_4 \): - From the first equation: \[ x_1 = 7x_2 + 4x_4 \] - From the second equation, we already have: \[ x_3 = -7x_4 \] Now we can write \( \vec{w} \) as: \[ \vec{w} = \begin{bmatrix} 7x_2 + 4x_4 \\ x_2 \\ -7x_4 \\ x_4 \end{bmatrix} \] This can be expressed as: \[ \vec{w} = x_2 \begin{bmatrix} 7 \\ 1 \\ 0 \\ 0 \end{bmatrix} + x_4 \begin{bmatrix} 4 \\ 0 \\ -7 \\ 1 \end{bmatrix} \] Thus, a basis for \( W^{\perp} \) is given by the two vectors: \[ \left\{ \begin{bmatrix} 7 \\ 1 \\ 0 \\ 0 \end{bmatrix}, \begin{bmatrix} 4 \\ 0 \\ -7 \\ 1 \end{bmatrix} \right\} \]

Related Questions

Latest Other Questions

Try Premium now!
Try Premium and ask Thoth AI unlimited math questions now!
Maybe later Go Premium
Study can be a real struggle
Why not UpStudy it?
Select your plan below
Premium

You can enjoy

Start now
  • Step-by-step explanations
  • 24/7 expert live tutors
  • Unlimited number of questions
  • No interruptions
  • Full access to Answer and Solution
  • Full Access to PDF Chat, UpStudy Chat, Browsing Chat
Basic

Totally free but limited

  • Limited Solution
Welcome to UpStudy!
Please sign in to continue the Thoth AI Chat journey
Continue with Email
Or continue with
By clicking “Sign in”, you agree to our Terms of Use & Privacy Policy