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Matrix free linear map decomposition



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0












$begingroup$


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.










share|cite|improve this question











$endgroup$












  • $begingroup$
    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


















0












$begingroup$


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.










share|cite|improve this question











$endgroup$












  • $begingroup$
    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
















0












0








0





$begingroup$


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.










share|cite|improve this question











$endgroup$




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






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








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




















  • $begingroup$
    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












2 Answers
2






active

oldest

votes


















0












$begingroup$

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.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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





















0












$begingroup$

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 $vin R^n$, $$alpha (v) =a^T v.$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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














Your Answer





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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

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.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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


















0












$begingroup$

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.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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
















0












0








0





$begingroup$

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.






share|cite|improve this answer









$endgroup$



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.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










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




















  • $begingroup$
    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













0












$begingroup$

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 $vin R^n$, $$alpha (v) =a^T v.$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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


















0












$begingroup$

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 $vin R^n$, $$alpha (v) =a^T v.$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    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
















0












0








0





$begingroup$

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 $vin R^n$, $$alpha (v) =a^T v.$$






share|cite|improve this answer









$endgroup$



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 $vin R^n$, $$alpha (v) =a^T v.$$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










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




















  • $begingroup$
    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




















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Where did Arya get these scars? Unicorn Meta Zoo #1: Why another podcast? Announcing the arrival of Valued Associate #679: Cesar Manara Favourite questions and answers from the 1st quarter of 2019Why did Arya refuse to end it?Has the pronunciation of Arya Stark's name changed?Has Arya forgiven people?Why did Arya Stark lose her vision?Why can Arya still use the faces?Has the Narrow Sea become narrower?Does Arya Stark know how to make poisons outside of the House of Black and White?Why did Nymeria leave Arya?Why did Arya not kill the Lannister soldiers she encountered in the Riverlands?What is the current canonical age of Sansa, Bran and Arya Stark?