If we have an orthonormal basis of $mathbb{R}^n$ how we can describe every vector in $mathbb{R}nT$ using...
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Let $S = mathbb{R}^n$ be a subspace with dimension $n$. Also, let ${phi_j}_{j=1}^k$ be $k$ orthonormal vector that describes another subspace $Psi_k subseteq mathbb{R}^n$ with dimension $k$ where each $phi_j in mathbb{R}^n$ and $k leq n$.
Can we write the following?
$$
S=Psi_k bigoplus Psi_k^{perp}
$$
where $Psi_k^{perp}$ is orthogonal complement of $Psi_k$ and has another orthonormal set ${phi_j}_{j=k+1}^n$ as its basis.
Let $y$ be an arbitrary vector in $mathbb{R}^n$.
Can we write the following?
$$
y = langle phi_1,y rangle phi_1
+
langle phi_2,y rangle phi_2
+
cdots
+
langle phi_n,y rangle phi_n
$$
linear-algebra linear-transformations orthogonality orthonormal
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Let $S = mathbb{R}^n$ be a subspace with dimension $n$. Also, let ${phi_j}_{j=1}^k$ be $k$ orthonormal vector that describes another subspace $Psi_k subseteq mathbb{R}^n$ with dimension $k$ where each $phi_j in mathbb{R}^n$ and $k leq n$.
Can we write the following?
$$
S=Psi_k bigoplus Psi_k^{perp}
$$
where $Psi_k^{perp}$ is orthogonal complement of $Psi_k$ and has another orthonormal set ${phi_j}_{j=k+1}^n$ as its basis.
Let $y$ be an arbitrary vector in $mathbb{R}^n$.
Can we write the following?
$$
y = langle phi_1,y rangle phi_1
+
langle phi_2,y rangle phi_2
+
cdots
+
langle phi_n,y rangle phi_n
$$
linear-algebra linear-transformations orthogonality orthonormal
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Let $S = mathbb{R}^n$ be a subspace with dimension $n$. Also, let ${phi_j}_{j=1}^k$ be $k$ orthonormal vector that describes another subspace $Psi_k subseteq mathbb{R}^n$ with dimension $k$ where each $phi_j in mathbb{R}^n$ and $k leq n$.
Can we write the following?
$$
S=Psi_k bigoplus Psi_k^{perp}
$$
where $Psi_k^{perp}$ is orthogonal complement of $Psi_k$ and has another orthonormal set ${phi_j}_{j=k+1}^n$ as its basis.
Let $y$ be an arbitrary vector in $mathbb{R}^n$.
Can we write the following?
$$
y = langle phi_1,y rangle phi_1
+
langle phi_2,y rangle phi_2
+
cdots
+
langle phi_n,y rangle phi_n
$$
linear-algebra linear-transformations orthogonality orthonormal
Let $S = mathbb{R}^n$ be a subspace with dimension $n$. Also, let ${phi_j}_{j=1}^k$ be $k$ orthonormal vector that describes another subspace $Psi_k subseteq mathbb{R}^n$ with dimension $k$ where each $phi_j in mathbb{R}^n$ and $k leq n$.
Can we write the following?
$$
S=Psi_k bigoplus Psi_k^{perp}
$$
where $Psi_k^{perp}$ is orthogonal complement of $Psi_k$ and has another orthonormal set ${phi_j}_{j=k+1}^n$ as its basis.
Let $y$ be an arbitrary vector in $mathbb{R}^n$.
Can we write the following?
$$
y = langle phi_1,y rangle phi_1
+
langle phi_2,y rangle phi_2
+
cdots
+
langle phi_n,y rangle phi_n
$$
linear-algebra linear-transformations orthogonality orthonormal
linear-algebra linear-transformations orthogonality orthonormal
edited Nov 13 at 22:11
Sepide
1227
1227
asked Nov 13 at 22:01
Saeed
407110
407110
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1 Answer
1
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1
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$(1)$ Yes. Every subspace in finite-dimensions is closed, so we have the decomposition $mathbb R^n=Psi_koplusPsi_k^perp$ by the orthogonal decomposition theorem.
$(2)$ Yes, you can write $y=langlephi_1,yrangle phi_1+cdots+langlephi_n,yranglephi_n$. This is a property of orthonormal bases, in that you can write any vector as a linear combination of your orthonormal basis, and the coefficients will be these inner products.
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
|
show 1 more comment
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
$(1)$ Yes. Every subspace in finite-dimensions is closed, so we have the decomposition $mathbb R^n=Psi_koplusPsi_k^perp$ by the orthogonal decomposition theorem.
$(2)$ Yes, you can write $y=langlephi_1,yrangle phi_1+cdots+langlephi_n,yranglephi_n$. This is a property of orthonormal bases, in that you can write any vector as a linear combination of your orthonormal basis, and the coefficients will be these inner products.
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
|
show 1 more comment
up vote
1
down vote
accepted
$(1)$ Yes. Every subspace in finite-dimensions is closed, so we have the decomposition $mathbb R^n=Psi_koplusPsi_k^perp$ by the orthogonal decomposition theorem.
$(2)$ Yes, you can write $y=langlephi_1,yrangle phi_1+cdots+langlephi_n,yranglephi_n$. This is a property of orthonormal bases, in that you can write any vector as a linear combination of your orthonormal basis, and the coefficients will be these inner products.
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
|
show 1 more comment
up vote
1
down vote
accepted
up vote
1
down vote
accepted
$(1)$ Yes. Every subspace in finite-dimensions is closed, so we have the decomposition $mathbb R^n=Psi_koplusPsi_k^perp$ by the orthogonal decomposition theorem.
$(2)$ Yes, you can write $y=langlephi_1,yrangle phi_1+cdots+langlephi_n,yranglephi_n$. This is a property of orthonormal bases, in that you can write any vector as a linear combination of your orthonormal basis, and the coefficients will be these inner products.
$(1)$ Yes. Every subspace in finite-dimensions is closed, so we have the decomposition $mathbb R^n=Psi_koplusPsi_k^perp$ by the orthogonal decomposition theorem.
$(2)$ Yes, you can write $y=langlephi_1,yrangle phi_1+cdots+langlephi_n,yranglephi_n$. This is a property of orthonormal bases, in that you can write any vector as a linear combination of your orthonormal basis, and the coefficients will be these inner products.
edited Nov 13 at 22:17
answered Nov 13 at 22:05
Dave
8,40811033
8,40811033
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
|
show 1 more comment
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
Made a mistake. Could you edit your answer.
– Sepide
Nov 13 at 22:08
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Sepide what is the mistake to which you refer?
– Dave
Nov 13 at 22:09
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Dave: Apparently the last line of the question has changed.
– Saeed
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Saeed is this what you intended to ask? - if so, then my answer to $(2)$ is "yes".
– Dave
Nov 13 at 22:13
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
@Dave: yes. I meant that.
– Saeed
Nov 13 at 22:15
|
show 1 more comment
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