How do I make 3 given vectors with an unknown value $t$ in it, into an orthogonal set?
For what $t$ will the following vector be an orthogonal basis?
begin{align}u_1&= (1,t,t)\
u_2&= (2t,t+1,2t-1)\
u_3&= (2-2t,t-1,1)end{align}
Till now I have tried using the Gram-Schmidt process but did not really reach anywhere.
Can you please provide a hint or some theory that may help me get the solution for this question?
linear-algebra vector-spaces vectors gram-schmidt
add a comment |
For what $t$ will the following vector be an orthogonal basis?
begin{align}u_1&= (1,t,t)\
u_2&= (2t,t+1,2t-1)\
u_3&= (2-2t,t-1,1)end{align}
Till now I have tried using the Gram-Schmidt process but did not really reach anywhere.
Can you please provide a hint or some theory that may help me get the solution for this question?
linear-algebra vector-spaces vectors gram-schmidt
Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
1
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27
add a comment |
For what $t$ will the following vector be an orthogonal basis?
begin{align}u_1&= (1,t,t)\
u_2&= (2t,t+1,2t-1)\
u_3&= (2-2t,t-1,1)end{align}
Till now I have tried using the Gram-Schmidt process but did not really reach anywhere.
Can you please provide a hint or some theory that may help me get the solution for this question?
linear-algebra vector-spaces vectors gram-schmidt
For what $t$ will the following vector be an orthogonal basis?
begin{align}u_1&= (1,t,t)\
u_2&= (2t,t+1,2t-1)\
u_3&= (2-2t,t-1,1)end{align}
Till now I have tried using the Gram-Schmidt process but did not really reach anywhere.
Can you please provide a hint or some theory that may help me get the solution for this question?
linear-algebra vector-spaces vectors gram-schmidt
linear-algebra vector-spaces vectors gram-schmidt
edited Dec 26 '18 at 19:03
asked Dec 22 '18 at 21:36
ankit vijay
11
11
Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
1
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27
add a comment |
Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
1
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27
Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
1
1
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27
add a comment |
1 Answer
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You can easily see that whatever be the value of $t$, we have $mathbf{u_3}=mathbf{2u_1}-mathbf{u_2}$. Therefore, $text{span}bf{u_1,u_2,u_3}$$=text{span}bf{u_1,u_2}$ and we only need to perform orthogonalization for $bf u_1,u_2$.
Using the Gram-Schmidt process, we have $B=bf{v_1,v_2}$, where:
- $mathbf{v_1}=mathbf{u_1}=(1,t,t)$
- $displaystylemathbf{v_2}=mathbf{u_2}-frac{langlemathbf{u_1},mathbf{u_2}rangle}{langlemathbf{u_1},mathbf{u_1}rangle}cdotmathbf{u_1}=(2t,t+1,2t-1)-Big[frac{3t^2+2t}{1+2t^2}Big](1,t,t)\displaystyle=Big(frac{4t^3-3t^2}{1+2t^2},frac{-t^3+t+1}{1+2t^2},frac{t^3-4t^2+2t-1}{1+2t^2}Big)$
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
add a comment |
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1 Answer
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You can easily see that whatever be the value of $t$, we have $mathbf{u_3}=mathbf{2u_1}-mathbf{u_2}$. Therefore, $text{span}bf{u_1,u_2,u_3}$$=text{span}bf{u_1,u_2}$ and we only need to perform orthogonalization for $bf u_1,u_2$.
Using the Gram-Schmidt process, we have $B=bf{v_1,v_2}$, where:
- $mathbf{v_1}=mathbf{u_1}=(1,t,t)$
- $displaystylemathbf{v_2}=mathbf{u_2}-frac{langlemathbf{u_1},mathbf{u_2}rangle}{langlemathbf{u_1},mathbf{u_1}rangle}cdotmathbf{u_1}=(2t,t+1,2t-1)-Big[frac{3t^2+2t}{1+2t^2}Big](1,t,t)\displaystyle=Big(frac{4t^3-3t^2}{1+2t^2},frac{-t^3+t+1}{1+2t^2},frac{t^3-4t^2+2t-1}{1+2t^2}Big)$
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
add a comment |
You can easily see that whatever be the value of $t$, we have $mathbf{u_3}=mathbf{2u_1}-mathbf{u_2}$. Therefore, $text{span}bf{u_1,u_2,u_3}$$=text{span}bf{u_1,u_2}$ and we only need to perform orthogonalization for $bf u_1,u_2$.
Using the Gram-Schmidt process, we have $B=bf{v_1,v_2}$, where:
- $mathbf{v_1}=mathbf{u_1}=(1,t,t)$
- $displaystylemathbf{v_2}=mathbf{u_2}-frac{langlemathbf{u_1},mathbf{u_2}rangle}{langlemathbf{u_1},mathbf{u_1}rangle}cdotmathbf{u_1}=(2t,t+1,2t-1)-Big[frac{3t^2+2t}{1+2t^2}Big](1,t,t)\displaystyle=Big(frac{4t^3-3t^2}{1+2t^2},frac{-t^3+t+1}{1+2t^2},frac{t^3-4t^2+2t-1}{1+2t^2}Big)$
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
add a comment |
You can easily see that whatever be the value of $t$, we have $mathbf{u_3}=mathbf{2u_1}-mathbf{u_2}$. Therefore, $text{span}bf{u_1,u_2,u_3}$$=text{span}bf{u_1,u_2}$ and we only need to perform orthogonalization for $bf u_1,u_2$.
Using the Gram-Schmidt process, we have $B=bf{v_1,v_2}$, where:
- $mathbf{v_1}=mathbf{u_1}=(1,t,t)$
- $displaystylemathbf{v_2}=mathbf{u_2}-frac{langlemathbf{u_1},mathbf{u_2}rangle}{langlemathbf{u_1},mathbf{u_1}rangle}cdotmathbf{u_1}=(2t,t+1,2t-1)-Big[frac{3t^2+2t}{1+2t^2}Big](1,t,t)\displaystyle=Big(frac{4t^3-3t^2}{1+2t^2},frac{-t^3+t+1}{1+2t^2},frac{t^3-4t^2+2t-1}{1+2t^2}Big)$
You can easily see that whatever be the value of $t$, we have $mathbf{u_3}=mathbf{2u_1}-mathbf{u_2}$. Therefore, $text{span}bf{u_1,u_2,u_3}$$=text{span}bf{u_1,u_2}$ and we only need to perform orthogonalization for $bf u_1,u_2$.
Using the Gram-Schmidt process, we have $B=bf{v_1,v_2}$, where:
- $mathbf{v_1}=mathbf{u_1}=(1,t,t)$
- $displaystylemathbf{v_2}=mathbf{u_2}-frac{langlemathbf{u_1},mathbf{u_2}rangle}{langlemathbf{u_1},mathbf{u_1}rangle}cdotmathbf{u_1}=(2t,t+1,2t-1)-Big[frac{3t^2+2t}{1+2t^2}Big](1,t,t)\displaystyle=Big(frac{4t^3-3t^2}{1+2t^2},frac{-t^3+t+1}{1+2t^2},frac{t^3-4t^2+2t-1}{1+2t^2}Big)$
answered Dec 22 '18 at 22:57
Shubham Johri
3,888716
3,888716
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
add a comment |
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
"can easily see" -> put the vectors in a matrix, determine the rank
– G Cab
Dec 22 '18 at 23:32
add a comment |
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Use the dot product.
– John Douma
Dec 22 '18 at 22:16
Welcome to StackExhange, I have formatted your question using MathJax
– lioness99a
Dec 22 '18 at 22:36
1
Your title asks a different question than the body of your post. Are you looking for a value of $t$ that make the $u_i$s into an orthogonal set or are you looking for an orthogonal basis that spans the same set as the $u_i$s?
– John Douma
Dec 22 '18 at 23:27