Transpose of a linear map: Difference between revisions

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{{See also|Dual system#Transposes|Transpose#Transposes of linear maps and bilinear forms}}
{{See also|Dual system#Transposes|Transpose#Transposes of linear maps and bilinear forms}}


Let <math>X^{\#}</math> denote the [[algebraic dual space]] of a vector space <math>X.</math>
Let <math>X^{\#}</math> denote the [[algebraic dual space]] of a vector space {{tmath| X }}.  
Let <math>X</math> and <math>Y</math> be vector spaces over the same field <math>\mathcal{K}.</math>
Let <math>X</math> and <math>Y</math> be vector spaces over the same field {{tmath| \mathcal{K} }}.  
If <math>u : X \to Y</math> is a [[linear map]], then its '''algebraic adjoint''' or '''dual''',{{sfn|Schaefer|Wolff|1999|p=128}} is the map <math>{}^{\#} u : Y^{\#} \to X^{\#}</math> defined by <math>f \mapsto f \circ u.</math>
If <math>u : X \to Y</math> is a [[linear map]], then its '''algebraic adjoint''' or '''dual''',{{sfn|ps=|Schaefer|Wolff|1999|p=128}} is the map <math>{}^{\#\!} u : Y^{\#} \to X^{\#}</math> defined by {{tmath| f \mapsto f \circ u }}.  
The resulting functional <math>{}^{\#} u(f) := f \circ u</math> is called the '''[[pullback]]''' of <math>f</math> by <math>u.</math>
The resulting functional <math>{}^{\#\!} u(f) := f \circ u</math> is called the '''[[pullback]]''' of <math>f</math> by {{tmath| u }}.


The [[continuous dual space]] of a [[topological vector space]] (TVS) <math>X</math> is denoted by <math>X^{\prime}.</math>
The [[continuous dual space]] of a [[topological vector space]] (TVS) <math>X</math> is denoted by {{tmath| X^{\prime} }}.  
If <math>X</math> and <math>Y</math> are TVSs then a linear map <math>u : X \to Y</math> is '''weakly continuous''' if and only if <math>{}^{\#} u\left(Y^{\prime}\right) \subseteq X^{\prime},</math> in which case we let <math>{}^t u : Y^{\prime} \to X^{\prime}</math> denote the restriction of <math>{}^{\#} u</math> to <math>Y^{\prime}.</math>
If <math>X</math> and <math>Y</math> are TVSs then a linear map <math>u : X \to Y</math> is '''weakly continuous''' if and only if {{tmath| {}^{\#\!} u\left(Y^{\prime}\right) \subseteq X^{\prime} }}, in which case we let <math>{}^\text{t}\! u : Y^{\prime} \to X^{\prime}</math> denote the restriction of <math>{}^{\#\!} u</math> to {{tmath| Y^{\prime} }}.  
The map <math>{}^t u</math> is called the '''transpose'''{{sfn|Trèves|2006|p=240}} or '''algebraic adjoint''' of <math>u.</math>
The map <math>{}^\text{t}\! u</math> is called the '''transpose'''{{sfn|ps=|Trèves|2006|p=240}} or '''algebraic adjoint''' of {{tmath| u }}.  
The following identity characterizes the transpose of <math>u</math>:<ref>{{harvtxt|Halmos|1974|loc=§44}}</ref>  
The following identity characterizes the transpose of {{tmath| u }}:<ref>{{harvtxt|Halmos|1974|loc=§44}}</ref>  
<math display="block">\left\langle {}^t u(f), x \right\rangle = \left\langle f, u(x) \right\rangle \quad \text{ for all } f \in Y ^{\prime} \text{ and } x \in X,</math>
<math display="block">\left\langle {}^\text{t}\! u(f), x \right\rangle = \left\langle f, u(x) \right\rangle \quad \text{ for all } f \in Y ^{\prime} \text{ and } x \in X,</math>
where <math>\left\langle \cdot, \cdot \right\rangle</math> is the [[natural pairing]] defined by <math>\left\langle z, h \right\rangle := z(h).</math>
where <math>\left\langle \cdot, \cdot \right\rangle</math> is the [[natural pairing]] defined by {{tmath| \left\langle z, h \right\rangle := z(h) }}.


== Properties ==
== Properties ==


The assignment <math>u \mapsto {}^t u</math> produces an [[injective]] linear map between the space of linear operators from <math>X</math> to <math>Y</math> and the space of linear operators from <math>Y^{\#}</math> to <math>X^{\#}.</math>
The assignment <math>u \mapsto {}^\text{t}\! u</math> produces an [[injective]] linear map between the space of linear operators from <math>X</math> to <math>Y</math> and the space of linear operators from <math>Y^{\#}</math> to {{tmath| X^{\#} }}.  
If <math>X = Y</math> then the space of linear maps is an [[Algebra over a field|algebra]] under [[composition of maps]], and the assignment is then an [[antihomomorphism]] of algebras, meaning that <math>{}^t (u v) = {}^t v {}^t u.</math>
If <math>X = Y</math> then the space of linear maps is an [[Algebra over a field|algebra]] under [[composition of maps]], and the assignment is then an [[antihomomorphism]] of algebras, meaning that {{tmath| {}^\text{t}\! (u v) = {}^\text{t}\! v \ {}^\text{t}\! u }}.  
In the language of [[category theory]], taking the dual of vector spaces and the transpose of linear maps is therefore a [[contravariant functor]] from the category of vector spaces over <math>\mathcal{K}</math> to itself.  
In the language of [[category theory]], taking the dual of vector spaces and the transpose of linear maps is therefore a [[contravariant functor]] from the category of vector spaces over <math>\mathcal{K}</math> to itself.  
One can identify <math>{}^t \left({}^t u\right)</math> with <math>u</math> using the natural injection into the double dual.
One can identify <math>{}^\text{t}\!\! \left({}^\text{t}\! u\right)</math> with <math>u</math> using the natural injection into the double dual.
* If <math>u : X \to Y</math> and <math>v : Y \to Z</math> are linear maps then <math>{}^t (v \circ u) = {}^t u \circ {}^t v</math><ref name="Schaefer (1999), pp. 129–130">{{harvnb|Schaefer|Wolff|1999|pp=129–130}}</ref>
* If <math>u : X \to Y</math> and <math>v : Y \to Z</math> are linear maps then <math>{}^\text{t}\! (v \circ u) = {}^\text{t}\! u \circ {}^\text{t}\! v</math><ref name="Schaefer (1999), pp. 129–130">{{harvnb|Schaefer|Wolff|1999|pp=129–130}}</ref>
* If <math>u : X \to Y</math> is a ([[surjective]]) vector space isomorphism then so is the transpose <math>{}^t u : Y^{\prime} \to X^{\prime}.</math>
* If <math>u : X \to Y</math> is a ([[surjective]]) vector space isomorphism then so is the transpose {{tmath| {}^\text{t}\! u : Y^{\prime} \to X^{\prime} }}.
* If <math>X</math> and <math>Y</math> are [[normed space]]s then  
* If <math>X</math> and <math>Y</math> are [[normed space]]s then  
<math display="block">\|x\| = \sup_{\|x^{\prime}\| \leq 1} \left|x^{\prime}(x) \right| \quad \text{ for each } x \in X</math>
<math display="block">\|x\| = \sup_{\|x^{\prime}\| \leq 1} \left|x^{\prime}(x) \right| \quad \text{ for each } x \in X</math>
and if the linear operator <math>u : X \to Y</math> is bounded then the [[operator norm]] of <math>{}^t u</math> is equal to the norm of <math>u</math>; that is{{sfn|Trèves|2006|pp=240-252}}{{sfn|Rudin|1991|pp=92-115}}
and if the linear operator <math>u : X \to Y</math> is bounded then the [[operator norm]] of <math>{}^\text{t}\! u</math> is equal to the norm of <math>u</math>; that is{{sfn|ps=|Trèves|2006|pp=240-252}}{{sfn|ps=|Rudin|1991|pp=92-115}}
<math display="block>\|u\| = \left\|{}^t u\right\|,</math>
<math display="block>\|u\| = \left\|{}^\text{t}\! u\right\|,</math>
and moreover,
and moreover,
<math display="block>\|u\| = \sup \left\{\left| y^{\prime}(u x) \right| : \|x\| \leq 1, \left\|y^*\right\| \leq 1 \text{ where } x \in X, y^{\prime} \in Y^{\prime} \right\}.</math>
<math display="block>\|u\| = \sup \left\{\left| y^{\prime}(u x) \right| : \|x\| \leq 1, \left\|y^*\right\| \leq 1 \text{ where } x \in X, y^{\prime} \in Y^{\prime} \right\}.</math>
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=== Polars ===
=== Polars ===


Suppose now that <math>u : X \to Y</math> is a weakly continuous linear operator between [[topological vector space]]s <math>X</math> and <math>Y</math> with continuous dual spaces <math>X^{\prime}</math> and <math>Y^{\prime},</math> respectively.  
Suppose now that <math>u : X \to Y</math> is a weakly continuous linear operator between [[topological vector space]]s <math>X</math> and <math>Y</math> with continuous dual spaces <math>X^{\prime}</math> and {{tmath| Y^{\prime} }}, respectively.  
Let <math>\langle \cdot, \cdot \rangle : X \times X^{\prime} \to \Complex</math> denote the canonical [[dual system]], defined by <math>\left\langle x, x^{\prime} \right\rangle = x^{\prime} x</math> where <math>x</math> and <math>x^{\prime}</math> are said to be {{em|[[Orthogonal vectors|orthogonal]]}} if <math>\left\langle x, x^{\prime} \right\rangle = x^{\prime} x = 0.</math>
Let <math>\langle \cdot, \cdot \rangle : X \times X^{\prime} \to \Complex</math> denote the canonical [[dual system]], defined by <math>\left\langle x, x^{\prime} \right\rangle = x^{\prime} x</math> where <math>x</math> and <math>x^{\prime}</math> are said to be {{em|[[Orthogonal vectors|orthogonal]]}} if {{tmath|1= \left\langle x, x^{\prime} \right\rangle = x^{\prime} x = 0 }}.  
For any subsets <math>A \subseteq X</math> and <math>S^{\prime} \subseteq X^{\prime},</math> let  
For any subsets <math>A \subseteq X</math> and {{tmath| S^{\prime} \subseteq X^{\prime} }}, let  
<math display="block">A^{\circ} = \left\{ x^{\prime} \in X^{\prime} : \sup_{a \in A} \left|x^{\prime}(a)\right| \leq 1 \right\} \qquad \text{ and } \qquad S^{\circ} = \left\{ x \in X : \sup_{s^{\prime} \in S^{\prime}} \left|s^{\prime}(x)\right| \leq 1 \right\}</math>  
<math display="block">A^{\circ} = \left\{ x^{\prime} \in X^{\prime} : \sup_{a \in A} \left|x^{\prime}(a)\right| \leq 1 \right\} \qquad \text{ and } \qquad S^{\circ} = \left\{ x \in X : \sup_{s^{\prime} \in S^{\prime}} \left|s^{\prime}(x)\right| \leq 1 \right\}</math>  
denote the ({{em|absolute}}) {{em|[[Polar set|polar]] of <math>A</math> in <math>X^{\prime}</math>}} (resp. {{em|of <math>S^{\prime}</math> in <math>X</math>}}).  
denote the ({{em|absolute}}) {{em|[[Polar set|polar]] of <math>A</math> in <math>X^{\prime}</math>}} (resp. {{em|of <math>S^{\prime}</math> in <math>X</math>}}).  


* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> are convex, weakly closed sets containing the origin then <math>{}^t u\left(B^{\circ}\right) \subseteq A^{\circ}</math> implies <math>u(A) \subseteq B.</math>{{sfn|Schaefer|Wolff|1999|pp=128–130}}
* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> are convex, weakly closed sets containing the origin then <math>{}^\text{t}\! u\left(B^{\circ}\right) \subseteq A^{\circ}</math> implies {{tmath| u(A) \subseteq B }}.{{sfn|ps=|Schaefer|Wolff|1999|pp=128–130}}
* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> then<ref name="Schaefer (1999), pp. 129–130"/>
* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> then<ref name="Schaefer (1999), pp. 129–130"/>
<math display="block">[u(A)]^{\circ} = \left({}^t u\right)^{-1}\left(A^{\circ}\right)</math>
<math display="block">[u(A)]^{\circ} = \left({}^\text{t}\! u\right)^{-1}\left(A^{\circ}\right)</math>
and
and
<math display="block">u(A) \subseteq B \quad \text{ implies } \quad {}^t u\left(B^{\circ}\right) \subseteq A^{\circ}.</math>
<math display="block">u(A) \subseteq B \quad \text{ implies } \quad {}^\text{t}\! u\left(B^{\circ}\right) \subseteq A^{\circ}.</math>
* If <math>X</math> and <math>Y</math> are [[Locally convex topological vector space|locally convex]] then{{sfn|Trèves|2006|pp=240-252}}  
* If <math>X</math> and <math>Y</math> are [[Locally convex topological vector space|locally convex]] then{{sfn|ps=|Trèves|2006|pp=240-252}}  
<math display="block">\operatorname{ker} {}^t u = \left(\operatorname{Im} u\right)^{\circ}.</math>
<math display="block">\operatorname{ker} {}^\text{t}\! u = \left(\operatorname{Im} u\right)^{\circ}.</math>


=== Annihilators ===
=== Annihilators ===


Suppose <math>X</math> and <math>Y</math> are [[topological vector space]]s and <math>u : X \to Y</math> is a weakly continuous linear operator (so <math>\left({}^t u\right)\left(Y^{\prime}\right) \subseteq X^{\prime}</math>). Given subsets <math>M \subseteq X</math> and <math>N \subseteq X^{\prime},</math> define their {{em|[[Dual space#Quotient spaces and annihilators|annihilators]]}} (with respect to the canonical dual system) by{{sfn|Rudin|1991|pp=92-115}}
Suppose <math>X</math> and <math>Y</math> are [[topological vector space]]s and <math>u : X \to Y</math> is a weakly continuous linear operator (so {{tmath| \left({}^\text{t}\! u\right)\left(Y^{\prime}\right) \subseteq X^{\prime} }}). Given subsets <math>M \subseteq X</math> and {{tmath| N \subseteq X^{\prime} }}, define their {{em|[[Dual space#Quotient spaces and annihilators|annihilators]]}} (with respect to the canonical dual system) by{{sfn|ps=|Rudin|1991|pp=92-115}}
:<math>\begin{alignat}{4}
: <math>\begin{alignat}{4}
M^{\bot} :&= \left\{ x^{\prime} \in X^{\prime} : \left\langle m, x^{\prime} \right\rangle = 0 \text{ for all } m \in M \right\} \\
M^{\bot} :&= \left\{ x^{\prime} \in X^{\prime} : \left\langle m, x^{\prime} \right\rangle = 0 \text{ for all } m \in M \right\} \\
&= \left\{ x^{\prime} \in X^{\prime} : x^{\prime}(M) = \{0\} \right\} \qquad \text{ where } x^{\prime}(M) := \left\{ x^{\prime}(m) : m \in M \right\}
&= \left\{ x^{\prime} \in X^{\prime} : x^{\prime}(M) = \{0\} \right\} \qquad \text{ where } x^{\prime}(M) := \left\{ x^{\prime}(m) : m \in M \right\}
\end{alignat}</math>
\end{alignat}</math>
and
and
:<math>\begin{alignat}{4}
: <math>\begin{alignat}{4}
{}^{\bot} N :&= \left\{ x \in X : \left\langle x, n^{\prime} \right\rangle = 0 \text{ for all } n^{\prime} \in N \right\} \\
{}^{\bot} N :&= \left\{ x \in X : \left\langle x, n^{\prime} \right\rangle = 0 \text{ for all } n^{\prime} \in N \right\} \\
&= \left\{ x \in X : N(x) = \{ 0 \} \right\} \qquad \text{ where } N(x) := \left\{ n^{\prime}(x) : n^{\prime} \in N \right\} \\
&= \left\{ x \in X : N(x) = \{ 0 \} \right\} \qquad \text{ where } N(x) := \left\{ n^{\prime}(x) : n^{\prime} \in N \right\} \\
\end{alignat}</math>
\end{alignat}</math>


* The [[Kernel (linear algebra)|kernel]] of <math>{}^t u</math> is the subspace of <math>Y^{\prime}</math> orthogonal to the image of <math>u</math>:{{sfn|Schaefer|Wolff|1999|pp=128–130}}
* The [[Kernel (linear algebra)|kernel]] of <math>{}^\text{t}\! u</math> is the subspace of <math>Y^{\prime}</math> orthogonal to the image of {{tmath| u }}:{{sfn|ps=|Schaefer|Wolff|1999|pp=128–130}}
<math display="block">\ker {}^t u = (\operatorname{Im} u)^{\bot}</math>
<math display="block">\ker {}^\text{t}\! u = (\operatorname{Im} u)^{\bot}</math>
* The linear map <math>u</math> is [[injective]] if and only if its image is a weakly dense subset of <math>Y</math> (that is, the image of <math>u</math> is dense in <math>Y</math> when <math>Y</math> is given the weak topology induced by <math>\operatorname{ker} {}^t u</math>).{{sfn|Schaefer|Wolff|1999|pp=128–130}}
* The linear map <math>u</math> is [[injective]] if and only if its image is a weakly dense subset of <math>Y</math> (that is, the image of <math>u</math> is dense in <math>Y</math> when <math>Y</math> is given the weak topology induced by {{tmath| \operatorname{ker} {}^\text{t}\! u }}).{{sfn|ps=|Schaefer|Wolff|1999|pp=128–130}}
* The transpose <math>{}^t u : Y^{\prime} \to X^{\prime}</math> is continuous when both <math>X^{\prime}</math> and <math>Y^{\prime}</math> are endowed with the [[weak-* topology]] (resp. both endowed with the [[strong dual]] topology, both endowed with the topology of uniform convergence on compact convex subsets, both endowed with the topology of uniform convergence on compact subsets).{{sfn|Trèves|2006|pp=199-200}}
* The transpose <math>{}^\text{t}\! u : Y^{\prime} \to X^{\prime}</math> is continuous when both <math>X^{\prime}</math> and <math>Y^{\prime}</math> are endowed with the [[weak-* topology]] (resp. both endowed with the [[strong dual]] topology, both endowed with the topology of uniform convergence on compact convex subsets, both endowed with the topology of uniform convergence on compact subsets).{{sfn|ps=|Trèves|2006|pp=199-200}}
* ([[Surjection of Fréchet spaces]]): If <math>X</math> and <math>Y</math> are [[Fréchet space]]s then the continuous linear operator <math>u : X \to Y</math> is [[surjective]] if and only if (1) the transpose <math>{}^t u : Y^{\prime} \to X^{\prime}</math> is [[injective]], and (2) the image of the transpose of <math>u</math> is a weakly closed (i.e. [[Weak-* topology|weak-*]] closed) subset of <math>X^{\prime}.</math>{{sfn|Trèves|2006|pp=382-383}}
* ([[Surjection of Fréchet spaces]]): If <math>X</math> and <math>Y</math> are [[Fréchet space]]s then the continuous linear operator <math>u : X \to Y</math> is [[surjective]] if and only if (1) the transpose <math>{}^\text{t}\! u : Y^{\prime} \to X^{\prime}</math> is [[injective]], and (2) the image of the transpose of <math>u</math> is a weakly closed (i.e. [[Weak-* topology|weak-*]] closed) subset of {{tmath| X^{\prime} }}.{{sfn|ps=|Trèves|2006|pp=382-383}}


=== Duals of quotient spaces ===
=== Duals of quotient spaces ===
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Let <math>M</math> be a closed vector subspace of a Hausdorff locally convex space <math>X</math> and denote the canonical quotient map by  
Let <math>M</math> be a closed vector subspace of a Hausdorff locally convex space <math>X</math> and denote the canonical quotient map by  
<math display="block">\pi : X \to X / M \quad \text{ where } \quad \pi(x) := x + M.</math>
<math display="block">\pi : X \to X / M \quad \text{ where } \quad \pi(x) := x + M.</math>
Assume <math>X / M</math> is endowed with the [[quotient topology]] induced by the quotient map <math>\pi : X \to X / M.</math>
Assume <math>X / M</math> is endowed with the [[quotient topology]] induced by the quotient map {{tmath| \pi : X \to X / M }}.  
Then the transpose of the quotient map is valued in <math>M^{\bot}</math> and
Then the transpose of the quotient map is valued in <math>M^{\bot}</math> and
<math display="block">{}^t \pi : (X / M)^{\prime} \to M^{\bot} \subseteq X^{\prime}</math>
<math display="block">{}^\text{t}\! \pi : (X / M)^{\prime} \to M^{\bot} \subseteq X^{\prime}</math>
is a TVS-isomorphism onto <math>M^{\bot}.</math>
is a TVS-isomorphism onto {{tmath| M^{\bot} }}.  
If <math>X</math> is a [[Banach space]] then <math>{}^t \pi : (X / M)^{\prime} \to M^{\bot}</math> is also an [[isometry]].{{sfn|Rudin|1991|pp=92-115}}  
If <math>X</math> is a [[Banach space]] then <math>{}^\text{t}\! \pi : (X / M)^{\prime} \to M^{\bot}</math> is also an [[isometry]].{{sfn|ps=|Rudin|1991|pp=92-115}}  
Using this transpose, every continuous linear functional on the quotient space <math>X / M</math> is canonically identified with a continuous linear functional in the annihilator <math>M^{\bot}</math> of <math>M.</math>
Using this transpose, every continuous linear functional on the quotient space <math>X / M</math> is canonically identified with a continuous linear functional in the annihilator <math>M^{\bot}</math> of {{tmath| M }}.


=== Duals of vector subspaces ===
=== Duals of vector subspaces ===


Let <math>M</math> be a closed vector subspace of a Hausdorff locally convex space <math>X.</math>
Let <math>M</math> be a closed vector subspace of a Hausdorff locally convex space {{tmath| X }}.  
If <math>m^{\prime} \in M^{\prime}</math> and if <math>x^{\prime} \in X^{\prime}</math> is a continuous linear extension of <math>m^{\prime}</math> to <math>X</math> then the assignment <math>m^{\prime} \mapsto x^{\prime} + M^{\bot}</math> induces a vector space isomorphism  
If <math>m^{\prime} \in M^{\prime}</math> and if <math>x^{\prime} \in X^{\prime}</math> is a continuous linear extension of <math>m^{\prime}</math> to <math>X</math> then the assignment <math>m^{\prime} \mapsto x^{\prime} + M^{\bot}</math> induces a vector space isomorphism  
<math display="block">M^{\prime} \to X^{\prime} / \left(M^{\bot}\right),</math>
<math display="block">M^{\prime} \to X^{\prime} / \left(M^{\bot}\right),</math>
which is an isometry if <math>X</math> is a Banach space.{{sfn|Rudin|1991|pp=92-115}}  
which is an isometry if <math>X</math> is a Banach space.{{sfn|ps=|Rudin|1991|pp=92-115}}  


Denote the [[inclusion map]] by
Denote the [[inclusion map]] by
<math display="block">\operatorname{In} : M \to X \quad \text{ where } \quad \operatorname{In}(m) := m \quad \text{ for all } m \in M.</math>
<math display="block">\operatorname{In} : M \to X \quad \text{ where } \quad \operatorname{In}(m) := m \quad \text{ for all } m \in M.</math>
The transpose of the inclusion map is  
The transpose of the inclusion map is  
<math display="block">{}^t \operatorname{In} : X^{\prime} \to M^{\prime}</math>
<math display="block">{}^\text{t}\! \operatorname{In} : X^{\prime} \to M^{\prime}</math>
whose kernel is the annihilator <math>M^{\bot} = \left\{ x^{\prime} \in X^{\prime} : \left\langle m, x^{\prime} \right\rangle = 0 \text{ for all } m \in M \right\}</math> and which is surjective by the [[Hahn–Banach theorem]]. This map induces an isomorphism of vector spaces
whose kernel is the annihilator <math>M^{\bot} = \left\{ x^{\prime} \in X^{\prime} : \left\langle m, x^{\prime} \right\rangle = 0 \text{ for all } m \in M \right\}</math> and which is surjective by the [[Hahn–Banach theorem]]. This map induces an isomorphism of vector spaces
<math display="block">X^{\prime} / \left(M^{\bot}\right) \to M^{\prime}.</math>
<math display="block">X^{\prime} / \left(M^{\bot}\right) \to M^{\prime}.</math>
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== Representation as a matrix ==
== Representation as a matrix ==


If the linear map <math>u</math> is represented by the [[Matrix (mathematics)|matrix]] <math>A</math> with respect to two bases of <math>X</math> and <math>Y,</math> then <math>{}^t u</math> is represented by the [[transpose]] matrix <math>A^T</math> with respect to the dual bases of <math>Y^{\prime}</math> and <math>X^{\prime},</math> hence the name.  
If the linear map <math>u</math> is represented by the [[Matrix (mathematics)|matrix]] <math>A</math> with respect to two bases of <math>X</math> and {{tmath| Y }}, then <math>{}^\text{t}\! u</math> is represented by the [[transpose]] matrix <math>A^\text{T}</math> with respect to the dual bases of <math>Y^{\prime}</math> and {{tmath| X^{\prime} }}, hence the name.  
Alternatively, as <math>u</math> is represented by <math>A</math> acting to the right on column vectors, <math>{}^t u</math> is represented by the same matrix acting to the left on row vectors.  
Alternatively, as <math>u</math> is represented by <math>A</math> acting to the right on column vectors, <math>{}^\text{t}\! u</math> is represented by the same matrix acting to the left on row vectors.  
These points of view are related by the canonical inner product on <math>\R^n,</math> which identifies the space of column vectors with the dual space of row vectors.
These points of view are related by the canonical inner product on {{tmath| \R^n }}, which identifies the space of column vectors with the dual space of row vectors.


== Relation to the Hermitian adjoint ==
== Relation to the Hermitian adjoint ==


{{Main|Hermitian adjoint}}
{{main|Hermitian adjoint}}
{{See also|Riesz representation theorem}}
{{see also|Riesz representation theorem}}


The identity that characterizes the transpose, that is, <math>\left[u^{*}(f), x\right] = [f, u(x)],</math> is formally similar to the definition of the [[Adjoint of an operator|Hermitian adjoint]], however, the transpose and the Hermitian adjoint are not the same map.  
The identity that characterizes the transpose, that is, {{tmath| \left[u^{*}(f), x\right] = [f, u(x)] }}, is formally similar to the definition of the [[Adjoint of an operator|Hermitian adjoint]], however, the transpose and the Hermitian adjoint are not the same map.  
The transpose is a map <math>Y^{\prime} \to X^{\prime}</math> and is defined for linear maps between any vector spaces <math>X</math> and <math>Y,</math> without requiring any additional structure.  
The transpose is a map <math>Y^{\prime} \to X^{\prime}</math> and is defined for linear maps between any vector spaces <math>X</math> and {{tmath| Y }}, without requiring any additional structure.  
The Hermitian adjoint maps <math>Y \to X</math> and is only defined for linear maps between Hilbert spaces, as it is defined in terms of the [[inner product]] on the Hilbert space.  
The Hermitian adjoint maps <math>Y \to X</math> and is only defined for linear maps between Hilbert spaces, as it is defined in terms of the [[inner product]] on the Hilbert space.  
The Hermitian adjoint therefore requires more mathematical structure than the transpose.
The Hermitian adjoint therefore requires more mathematical structure than the transpose.


However, the transpose is often used in contexts where the vector spaces are both equipped with a [[Nondegenerate form|nondegenerate bilinear form]] such as the Euclidean [[dot product]] or another {{em|real}} [[inner product]].  
However, the transpose is often used in contexts where the vector spaces are both equipped with a [[Nondegenerate form|nondegenerate bilinear form]] such as the Euclidean [[dot product]] or another {{em|real}} [[inner product]].  
In this case, the nondegenerate bilinear form is often [[Dual space#Bilinear products and dual spaces|used]] implicitly to map between the vector spaces and their duals, to express the transposed map as a map <math>Y \to X.</math>
In this case, the nondegenerate bilinear form is often [[Dual space#Bilinear products and dual spaces|used]] implicitly to map between the vector spaces and their duals, to express the transposed map as a map {{tmath| Y \to X }}.  
For a complex Hilbert space, the inner product is sesquilinear and not bilinear, and these conversions change the transpose into the adjoint map.
For a complex Hilbert space, the inner product is sesquilinear and not bilinear, and these conversions change the transpose into the adjoint map.


More precisely: if <math>X</math> and <math>Y</math> are Hilbert spaces and <math>u : X \to Y</math> is a linear map then the transpose of <math>u</math> and the Hermitian adjoint of <math>u,</math> which we will denote respectively by <math>{}^t u</math> and <math>u^{*},</math> are related.  
More precisely: if <math>X</math> and <math>Y</math> are Hilbert spaces and <math>u : X \to Y</math> is a linear map then the transpose of <math>u</math> and the Hermitian adjoint of {{tmath| u }}, which we will denote respectively by <math>{}^\text{t}\! u</math> and {{tmath| u^{*} }}, are related.  
Denote by <math>I : X \to X^{*}</math> and <math>J : Y \to Y^{*}</math> the canonical antilinear isometries of the Hilbert spaces <math>X</math> and <math>Y</math> onto their duals.  
Denote by <math>I : X \to X^{*}</math> and <math>J : Y \to Y^{*}</math> the canonical antilinear isometries of the Hilbert spaces <math>X</math> and <math>Y</math> onto their duals.  
Then <math>u^{*}</math> is the following composition of maps:{{sfn|Trèves|2006|p=488}}
Then <math>u^{*}</math> is the following composition of maps:{{sfn|ps=|Trèves|2006|p=488}}
 
: <math>Y \overset{J}{\longrightarrow} Y^* \overset{{}^{\text{t}\!}u}{\longrightarrow} X^* \overset{I^{-1}}{\longrightarrow} X</math>
:<math>Y \overset{J}{\longrightarrow} Y^* \overset{{}^{\text{t}}u}{\longrightarrow} X^* \overset{I^{-1}}{\longrightarrow} X</math>


== Applications to functional analysis ==
== Applications to functional analysis ==


Suppose that <math>X</math> and <math>Y</math> are [[topological vector space]]s and that <math>u : X \to Y</math> is a linear map, then many of <math>u</math>'s properties are reflected in <math>{}^t u.</math>
Suppose that <math>X</math> and <math>Y</math> are [[topological vector space]]s and that <math>u : X \to Y</math> is a linear map, then many of <math>u</math>'s properties are reflected in {{tmath| {}^\text{t}\! u }}.
 
* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> are weakly closed, convex sets containing the origin, then <math>{}^\text{t}\! u(B^{\circ}) \subseteq A^{\circ}</math> implies {{tmath| u(A) \subseteq B }}.<ref name="Schaefer (1999), pp. 129–130" />
* If <math>A \subseteq X</math> and <math>B \subseteq Y</math> are weakly closed, convex sets containing the origin, then <math>{}^t u\left(B^{\circ}\right) \subseteq A^{\circ}</math> implies <math>u(A) \subseteq B.</math><ref name="Schaefer (1999), pp. 129–130" />
* The null space of <math>{}^\text{t}\! u</math> is the subspace of <math>Y^{\prime}</math> orthogonal to the range <math>u(X)</math> of {{tmath| u }}.<ref name="Schaefer (1999), pp. 129–130" />
* The null space of <math>{}^t u</math> is the subspace of <math>Y^{\prime}</math> orthogonal to the range <math>u(X)</math> of <math>u.</math><ref name="Schaefer (1999), pp. 129–130" />
* <math>{}^\text{t}\! u</math> is injective if and only if the range <math>u(X)</math> of <math>u</math> is weakly closed.<ref name="Schaefer (1999), pp. 129–130" />
* <math>{}^t u</math> is injective if and only if the range <math>u(X)</math> of <math>u</math> is weakly closed.<ref name="Schaefer (1999), pp. 129–130" />


== See also ==
== See also ==
Line 145: Line 143:


* {{citation|authorlink=Paul Halmos|first=Paul|last=Halmos|title=Finite-dimensional Vector Spaces|year=1974|publisher=Springer|isbn=0-387-90093-4}}
* {{citation|authorlink=Paul Halmos|first=Paul|last=Halmos|title=Finite-dimensional Vector Spaces|year=1974|publisher=Springer|isbn=0-387-90093-4}}
* {{Rudin Walter Functional Analysis|edition=2}} <!-- {{sfn|Rudin |1991|p=}} -->
* {{Rudin Walter Functional Analysis|edition=2}} <!-- {{sfn|Rudin|1991|p=}} -->
* {{Schaefer Wolff Topological Vector Spaces|edition=2}} <!-- {{sfn|Schaefer|Wolff|1999|p=}} -->
* {{Schaefer Wolff Topological Vector Spaces|edition=2}} <!-- {{sfn|Schaefer|Wolff|1999|p=}} -->
* {{Trèves François Topological vector spaces, distributions and kernels}} <!-- {{sfn|Trèves|2006|p=}} -->
* {{Trèves François Topological vector spaces, distributions and kernels}} <!-- {{sfn|Trèves|2006|p=}} -->

Latest revision as of 22:34, 2 July 2025

Template:Short description Script error: No such module "Labelled list hatnote". In linear algebra, the transpose of a linear map between two vector spaces, defined over the same field, is an induced map between the dual spaces of the two vector spaces. The transpose or algebraic adjoint of a linear map is often used to study the original linear map. This concept is generalised by adjoint functors.

Definition

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Let X# denote the algebraic dual space of a vector space Template:Tmath. Let X and Y be vector spaces over the same field Template:Tmath. If u:XY is a linear map, then its algebraic adjoint or dual,Template:Sfn is the map #u:Y#X# defined by Template:Tmath. The resulting functional #u(f):=fu is called the pullback of f by Template:Tmath.

The continuous dual space of a topological vector space (TVS) X is denoted by Template:Tmath. If X and Y are TVSs then a linear map u:XY is weakly continuous if and only if Template:Tmath, in which case we let tu:YX denote the restriction of #u to Template:Tmath. The map tu is called the transposeTemplate:Sfn or algebraic adjoint of Template:Tmath. The following identity characterizes the transpose of Template:Tmath:[1] tu(f),x=f,u(x) for all fY and xX, where , is the natural pairing defined by Template:Tmath.

Properties

The assignment utu produces an injective linear map between the space of linear operators from X to Y and the space of linear operators from Y# to Template:Tmath. If X=Y then the space of linear maps is an algebra under composition of maps, and the assignment is then an antihomomorphism of algebras, meaning that Template:Tmath. In the language of category theory, taking the dual of vector spaces and the transpose of linear maps is therefore a contravariant functor from the category of vector spaces over 𝒦 to itself. One can identify t(tu) with u using the natural injection into the double dual.

x=supx1|x(x)| for each xX and if the linear operator u:XY is bounded then the operator norm of tu is equal to the norm of u; that isTemplate:SfnTemplate:Sfn u=tu, and moreover, u=sup{|y(ux)|:x1,y*1 where xX,yY}.

Polars

Suppose now that u:XY is a weakly continuous linear operator between topological vector spaces X and Y with continuous dual spaces X and Template:Tmath, respectively. Let ,:X×X denote the canonical dual system, defined by x,x=xx where x and x are said to be Template:Em if Template:Tmath. For any subsets AX and Template:Tmath, let A={xX:supaA|x(a)|1} and S={xX:supsS|s(x)|1} denote the (Template:Em) Template:Em (resp. Template:Em).

  • If AX and BY are convex, weakly closed sets containing the origin then tu(B)A implies Template:Tmath.Template:Sfn
  • If AX and BY then[2]

[u(A)]=(tu)1(A) and u(A)B implies tu(B)A.

kertu=(Imu).

Annihilators

Suppose X and Y are topological vector spaces and u:XY is a weakly continuous linear operator (so Template:Tmath). Given subsets MX and Template:Tmath, define their Template:Em (with respect to the canonical dual system) byTemplate:Sfn

M:={xX:m,x=0 for all mM}={xX:x(M)={0}} where x(M):={x(m):mM}

and

N:={xX:x,n=0 for all nN}={xX:N(x)={0}} where N(x):={n(x):nN}

kertu=(Imu)

Duals of quotient spaces

Let M be a closed vector subspace of a Hausdorff locally convex space X and denote the canonical quotient map by π:XX/M where π(x):=x+M. Assume X/M is endowed with the quotient topology induced by the quotient map Template:Tmath. Then the transpose of the quotient map is valued in M and tπ:(X/M)MX is a TVS-isomorphism onto Template:Tmath. If X is a Banach space then tπ:(X/M)M is also an isometry.Template:Sfn Using this transpose, every continuous linear functional on the quotient space X/M is canonically identified with a continuous linear functional in the annihilator M of Template:Tmath.

Duals of vector subspaces

Let M be a closed vector subspace of a Hausdorff locally convex space Template:Tmath. If mM and if xX is a continuous linear extension of m to X then the assignment mx+M induces a vector space isomorphism MX/(M), which is an isometry if X is a Banach space.Template:Sfn

Denote the inclusion map by In:MX where In(m):=m for all mM. The transpose of the inclusion map is tIn:XM whose kernel is the annihilator M={xX:m,x=0 for all mM} and which is surjective by the Hahn–Banach theorem. This map induces an isomorphism of vector spaces X/(M)M.

Representation as a matrix

If the linear map u is represented by the matrix A with respect to two bases of X and Template:Tmath, then tu is represented by the transpose matrix AT with respect to the dual bases of Y and Template:Tmath, hence the name. Alternatively, as u is represented by A acting to the right on column vectors, tu is represented by the same matrix acting to the left on row vectors. These points of view are related by the canonical inner product on Template:Tmath, which identifies the space of column vectors with the dual space of row vectors.

Relation to the Hermitian adjoint

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The identity that characterizes the transpose, that is, Template:Tmath, is formally similar to the definition of the Hermitian adjoint, however, the transpose and the Hermitian adjoint are not the same map. The transpose is a map YX and is defined for linear maps between any vector spaces X and Template:Tmath, without requiring any additional structure. The Hermitian adjoint maps YX and is only defined for linear maps between Hilbert spaces, as it is defined in terms of the inner product on the Hilbert space. The Hermitian adjoint therefore requires more mathematical structure than the transpose.

However, the transpose is often used in contexts where the vector spaces are both equipped with a nondegenerate bilinear form such as the Euclidean dot product or another Template:Em inner product. In this case, the nondegenerate bilinear form is often used implicitly to map between the vector spaces and their duals, to express the transposed map as a map Template:Tmath. For a complex Hilbert space, the inner product is sesquilinear and not bilinear, and these conversions change the transpose into the adjoint map.

More precisely: if X and Y are Hilbert spaces and u:XY is a linear map then the transpose of u and the Hermitian adjoint of Template:Tmath, which we will denote respectively by tu and Template:Tmath, are related. Denote by I:XX* and J:YY* the canonical antilinear isometries of the Hilbert spaces X and Y onto their duals. Then u* is the following composition of maps:Template:Sfn

YJY*tuX*I1X

Applications to functional analysis

Suppose that X and Y are topological vector spaces and that u:XY is a linear map, then many of u's properties are reflected in Template:Tmath.

  • If AX and BY are weakly closed, convex sets containing the origin, then tu(B)A implies Template:Tmath.[2]
  • The null space of tu is the subspace of Y orthogonal to the range u(X) of Template:Tmath.[2]
  • tu is injective if and only if the range u(X) of u is weakly closed.[2]

See also

References

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Bibliography

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Template:Duality and spaces of linear maps Template:Functional analysis