Matrix free linear map decomposition The Next CEO of Stack OverflowJordan decomposition of the...
How do I fit a non linear curve?
IC has pull-down resistors on SMBus lines?
It is correct to match light sources with the same color temperature?
Is it ok to trim down a tube patch?
Is a distribution that is normal, but highly skewed, considered Gaussian?
Is French Guiana a (hard) EU border?
Can this note be analyzed as a non-chord tone?
Is fine stranded wire ok for main supply line?
Can I board the first leg of the flight without having final country's visa?
Aggressive Under-Indexing and no data for missing index
Help/tips for a first time writer?
Is it ever safe to open a suspicious HTML file (e.g. email attachment)?
What steps are necessary to read a Modern SSD in Medieval Europe?
My ex-girlfriend uses my Apple ID to login to her iPad, do I have to give her my Apple ID password to reset it?
"Eavesdropping" vs "Listen in on"
Do scriptures give a method to recognize a truly self-realized person/jivanmukta?
What connection does MS Office have to Netscape Navigator?
TikZ: How to fill area with a special pattern?
Is dried pee considered dirt?
How to Implement Deterministic Encryption Safely in .NET
Why don't programming languages automatically manage the synchronous/asynchronous problem?
Vector calculus integration identity problem
Strange use of "whether ... than ..." in official text
Does the Idaho Potato Commission associate potato skins with healthy eating?
Matrix free linear map decomposition
The Next CEO of Stack OverflowJordan decomposition of the action of Jordan blocks on alternating tensorsName of this matrix product?If GCD $(a_1,ldots, a_n)=1$ then there's a matrix in $SL_n(mathbb{Z})$ with first row $(a_1,ldots, a_n)$Demystifying the tensor productOh Times, $otimes$ in linear algebra and tensorsComputing Jacobian of matrix-valued map $X mapsto X^TAX$Linear map, find a transformed matrixWhen linear homogeneous equations are equivalent?A bizarre matrix product — does it have a name?Positive definiteness of a block matrix formed by multiples of the identity
$begingroup$
Consider $a_1,dots,a_ninmathbb{R}^n$ and identify $a_jinmathcal{L}(mathbb{R},mathbb{R}^n)$ via $varphimapsto varphi1$.
Also, consider $Ainmathcal{L}(mathbb{R}^n)$ given by
$$Acolon (x_1,dots,x_n)mapsto a_1x_1 + dots + a_nx_ntag{$star$}$$
What's the name or symbol of the map
$$mathcal{L}(mathbb{R},mathbb{R}^n)timesdotstimesmathcal{L}(mathbb{R},mathbb{R}^n)tomathcal{L}(mathbb{R}^n,mathbb{R}^n),quad(a_1,dots,a_n)mapsto A$$
where $A$ and $a_1,dots,a_n$ are related as in $(star)$?
I'd like to write e.g. $A=a_1otimesdotsotimes a_n$.
Is there some higher level concept that induces that map? (E.g. some time ago I wondered if this map would be the tensor product).
The matrix equivalent would be saying that the columns of $A$ are the column vectors $a_1,dots,a_n$ and writing $A=begin{bmatrix}a_1& dots &a_nend{bmatrix}$. However, I'd like to keep things matrix free.
Thanks in advance.
linear-algebra matrices coordinate-systems
$endgroup$
add a comment |
$begingroup$
Consider $a_1,dots,a_ninmathbb{R}^n$ and identify $a_jinmathcal{L}(mathbb{R},mathbb{R}^n)$ via $varphimapsto varphi1$.
Also, consider $Ainmathcal{L}(mathbb{R}^n)$ given by
$$Acolon (x_1,dots,x_n)mapsto a_1x_1 + dots + a_nx_ntag{$star$}$$
What's the name or symbol of the map
$$mathcal{L}(mathbb{R},mathbb{R}^n)timesdotstimesmathcal{L}(mathbb{R},mathbb{R}^n)tomathcal{L}(mathbb{R}^n,mathbb{R}^n),quad(a_1,dots,a_n)mapsto A$$
where $A$ and $a_1,dots,a_n$ are related as in $(star)$?
I'd like to write e.g. $A=a_1otimesdotsotimes a_n$.
Is there some higher level concept that induces that map? (E.g. some time ago I wondered if this map would be the tensor product).
The matrix equivalent would be saying that the columns of $A$ are the column vectors $a_1,dots,a_n$ and writing $A=begin{bmatrix}a_1& dots &a_nend{bmatrix}$. However, I'd like to keep things matrix free.
Thanks in advance.
linear-algebra matrices coordinate-systems
$endgroup$
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09
add a comment |
$begingroup$
Consider $a_1,dots,a_ninmathbb{R}^n$ and identify $a_jinmathcal{L}(mathbb{R},mathbb{R}^n)$ via $varphimapsto varphi1$.
Also, consider $Ainmathcal{L}(mathbb{R}^n)$ given by
$$Acolon (x_1,dots,x_n)mapsto a_1x_1 + dots + a_nx_ntag{$star$}$$
What's the name or symbol of the map
$$mathcal{L}(mathbb{R},mathbb{R}^n)timesdotstimesmathcal{L}(mathbb{R},mathbb{R}^n)tomathcal{L}(mathbb{R}^n,mathbb{R}^n),quad(a_1,dots,a_n)mapsto A$$
where $A$ and $a_1,dots,a_n$ are related as in $(star)$?
I'd like to write e.g. $A=a_1otimesdotsotimes a_n$.
Is there some higher level concept that induces that map? (E.g. some time ago I wondered if this map would be the tensor product).
The matrix equivalent would be saying that the columns of $A$ are the column vectors $a_1,dots,a_n$ and writing $A=begin{bmatrix}a_1& dots &a_nend{bmatrix}$. However, I'd like to keep things matrix free.
Thanks in advance.
linear-algebra matrices coordinate-systems
$endgroup$
Consider $a_1,dots,a_ninmathbb{R}^n$ and identify $a_jinmathcal{L}(mathbb{R},mathbb{R}^n)$ via $varphimapsto varphi1$.
Also, consider $Ainmathcal{L}(mathbb{R}^n)$ given by
$$Acolon (x_1,dots,x_n)mapsto a_1x_1 + dots + a_nx_ntag{$star$}$$
What's the name or symbol of the map
$$mathcal{L}(mathbb{R},mathbb{R}^n)timesdotstimesmathcal{L}(mathbb{R},mathbb{R}^n)tomathcal{L}(mathbb{R}^n,mathbb{R}^n),quad(a_1,dots,a_n)mapsto A$$
where $A$ and $a_1,dots,a_n$ are related as in $(star)$?
I'd like to write e.g. $A=a_1otimesdotsotimes a_n$.
Is there some higher level concept that induces that map? (E.g. some time ago I wondered if this map would be the tensor product).
The matrix equivalent would be saying that the columns of $A$ are the column vectors $a_1,dots,a_n$ and writing $A=begin{bmatrix}a_1& dots &a_nend{bmatrix}$. However, I'd like to keep things matrix free.
Thanks in advance.
linear-algebra matrices coordinate-systems
linear-algebra matrices coordinate-systems
edited Mar 17 at 18:35
Ramen
asked Mar 17 at 15:09
RamenRamen
507412
507412
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09
add a comment |
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
If I understand your question correctly, you are looking for an n-linear functional such that $(x_1, . . ., x_n) to sum_{i=1}^{n}a_{i}x_i$. Note that the scalar product of two arbitrary vectors $u, v$ is the following:
$$<u, v> = u_1v_1 + ... + u_nv_n = sum_{i=1}^{n}u_iv_i$$
So, for the map that you mentioned, we could define $M$ as the row vector with elements being the column vectors $a_i$ so that the scalar product $<M, X> = a_1x_1 + ... + a_nx_n.$
In other words, you are just looking for the scalar product operator.
$endgroup$
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
add a comment |
$begingroup$
I am not sure I understand what you are asking, but maybe you are looking for the map from a vector space to its dual, which we could write as $a mapsto langle a, cdot rangle$. In general this depends on a metric $langle cdot,cdotrangle$ (or some other preferred non-degenerate bilinear form). In $R^n$ it is often implicitly assumed that you use the Euclidean one and, with respect to the canonical basis, what you are doing is, for $ain R^n$
$$amapsto alphain (R^n)^*=mathcal{L}(R^n,R),$$ where, for any $vin R^n$, $$alpha (v) =a^T v.$$
$endgroup$
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
add a comment |
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3151662%2fmatrix-free-linear-map-decomposition%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
If I understand your question correctly, you are looking for an n-linear functional such that $(x_1, . . ., x_n) to sum_{i=1}^{n}a_{i}x_i$. Note that the scalar product of two arbitrary vectors $u, v$ is the following:
$$<u, v> = u_1v_1 + ... + u_nv_n = sum_{i=1}^{n}u_iv_i$$
So, for the map that you mentioned, we could define $M$ as the row vector with elements being the column vectors $a_i$ so that the scalar product $<M, X> = a_1x_1 + ... + a_nx_n.$
In other words, you are just looking for the scalar product operator.
$endgroup$
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
add a comment |
$begingroup$
If I understand your question correctly, you are looking for an n-linear functional such that $(x_1, . . ., x_n) to sum_{i=1}^{n}a_{i}x_i$. Note that the scalar product of two arbitrary vectors $u, v$ is the following:
$$<u, v> = u_1v_1 + ... + u_nv_n = sum_{i=1}^{n}u_iv_i$$
So, for the map that you mentioned, we could define $M$ as the row vector with elements being the column vectors $a_i$ so that the scalar product $<M, X> = a_1x_1 + ... + a_nx_n.$
In other words, you are just looking for the scalar product operator.
$endgroup$
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
add a comment |
$begingroup$
If I understand your question correctly, you are looking for an n-linear functional such that $(x_1, . . ., x_n) to sum_{i=1}^{n}a_{i}x_i$. Note that the scalar product of two arbitrary vectors $u, v$ is the following:
$$<u, v> = u_1v_1 + ... + u_nv_n = sum_{i=1}^{n}u_iv_i$$
So, for the map that you mentioned, we could define $M$ as the row vector with elements being the column vectors $a_i$ so that the scalar product $<M, X> = a_1x_1 + ... + a_nx_n.$
In other words, you are just looking for the scalar product operator.
$endgroup$
If I understand your question correctly, you are looking for an n-linear functional such that $(x_1, . . ., x_n) to sum_{i=1}^{n}a_{i}x_i$. Note that the scalar product of two arbitrary vectors $u, v$ is the following:
$$<u, v> = u_1v_1 + ... + u_nv_n = sum_{i=1}^{n}u_iv_i$$
So, for the map that you mentioned, we could define $M$ as the row vector with elements being the column vectors $a_i$ so that the scalar product $<M, X> = a_1x_1 + ... + a_nx_n.$
In other words, you are just looking for the scalar product operator.
answered Mar 17 at 16:37
Victoria MVictoria M
42618
42618
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
add a comment |
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
$begingroup$
Thanks for your answer. I'm rather looking for the linear map $mathbb{R}^ntimesmathbb{R}^ntomathcal{L}(mathbb{R}^2,mathbb{R}^n)$ that maps vectors to linear maps. Anyway, I think now that my question was worded poorly, sorry!
$endgroup$
– Ramen
Mar 17 at 17:06
add a comment |
$begingroup$
I am not sure I understand what you are asking, but maybe you are looking for the map from a vector space to its dual, which we could write as $a mapsto langle a, cdot rangle$. In general this depends on a metric $langle cdot,cdotrangle$ (or some other preferred non-degenerate bilinear form). In $R^n$ it is often implicitly assumed that you use the Euclidean one and, with respect to the canonical basis, what you are doing is, for $ain R^n$
$$amapsto alphain (R^n)^*=mathcal{L}(R^n,R),$$ where, for any $vin R^n$, $$alpha (v) =a^T v.$$
$endgroup$
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
add a comment |
$begingroup$
I am not sure I understand what you are asking, but maybe you are looking for the map from a vector space to its dual, which we could write as $a mapsto langle a, cdot rangle$. In general this depends on a metric $langle cdot,cdotrangle$ (or some other preferred non-degenerate bilinear form). In $R^n$ it is often implicitly assumed that you use the Euclidean one and, with respect to the canonical basis, what you are doing is, for $ain R^n$
$$amapsto alphain (R^n)^*=mathcal{L}(R^n,R),$$ where, for any $vin R^n$, $$alpha (v) =a^T v.$$
$endgroup$
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
add a comment |
$begingroup$
I am not sure I understand what you are asking, but maybe you are looking for the map from a vector space to its dual, which we could write as $a mapsto langle a, cdot rangle$. In general this depends on a metric $langle cdot,cdotrangle$ (or some other preferred non-degenerate bilinear form). In $R^n$ it is often implicitly assumed that you use the Euclidean one and, with respect to the canonical basis, what you are doing is, for $ain R^n$
$$amapsto alphain (R^n)^*=mathcal{L}(R^n,R),$$ where, for any $vin R^n$, $$alpha (v) =a^T v.$$
$endgroup$
I am not sure I understand what you are asking, but maybe you are looking for the map from a vector space to its dual, which we could write as $a mapsto langle a, cdot rangle$. In general this depends on a metric $langle cdot,cdotrangle$ (or some other preferred non-degenerate bilinear form). In $R^n$ it is often implicitly assumed that you use the Euclidean one and, with respect to the canonical basis, what you are doing is, for $ain R^n$
$$amapsto alphain (R^n)^*=mathcal{L}(R^n,R),$$ where, for any $vin R^n$, $$alpha (v) =a^T v.$$
answered Mar 17 at 18:12
GFRGFR
3,3241023
3,3241023
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
add a comment |
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
$begingroup$
Thanks for your answer, however, this is still not what I intended, as it is analogous to the row decomposition of a matrix, right? If we identify vectors $a_1,dots,a_n$ as linear forms in the sense of Riesz, we can write $A=(a_1,dots,a_n)inmathcal{L}(mathbb{R}^n)$. I am interested in a similar notation for the column decomposition, but in terms of linear maps only. In particular, the mathematical machinery is not what I am really interested in (the thing is kind of obvious) but rather the name, or the right symbol, perhaps stemming from some higher level concept.
$endgroup$
– Ramen
Mar 17 at 18:27
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3151662%2fmatrix-free-linear-map-decomposition%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
$begingroup$
While you may want to keep your notation cordinate free, your operation is inherently depend on the coordinates in the domain as you map the standard basis vectors $e_k$ to specific vectors $a_k$.
$endgroup$
– eepperly16
Mar 17 at 16:42
$begingroup$
@eepperly16 Yes, you're right, thank you! (The choice of basis happened by choosing the isomorphism to be isometric, i.e. choosing $varphimapstovarphi 1$.) Please see my edit.
$endgroup$
– Ramen
Mar 17 at 17:09