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Projective tensor product

In functional analysis , an area of mathematics , the projective tensor product of two locally convex topological vector spaces is a natural topological vector space structure o...

In functional analysis, an area of mathematics, the projective tensor product of two locally convex topological vector spaces is a natural topological vector space structure on their tensor product. Namely, given locally convex topological vector spaces X {\displaystyle X} and Y {\displaystyle Y} , the projective topology, or π-topology, on X Y {\displaystyle X\otimes Y} is the strongest topology which makes X Y {\displaystyle X\otimes Y} a locally convex topological vector space such that the canonical map ( x , y ) x y {\displaystyle (x,y)\mapsto x\otimes y} (from X × Y {\displaystyle X\times Y} to X Y {\displaystyle X\otimes Y} ) is continuous. When equipped with this topology, X Y {\displaystyle X\otimes Y} is denoted X π Y {\displaystyle X\otimes _{\pi }Y} and called the projective tensor product of X {\displaystyle X} and Y {\displaystyle Y} .

Definitions

Let X {\displaystyle X} and Y {\displaystyle Y} be locally convex topological vector spaces. Their projective tensor product X π Y {\displaystyle X\otimes _{\pi }Y} is the unique locally convex topological vector space with underlying vector space X Y {\displaystyle X\otimes Y} having the following universal property:[1]

For any locally convex topological vector space Z {\displaystyle Z} , if Φ Z {\displaystyle \Phi _{Z}} is the canonical map from the vector space of bilinear maps X × Y Z {\displaystyle X\times Y\to Z} to the vector space of linear maps X Y Z {\displaystyle X\otimes Y\to Z} , then the image of the restriction of Φ Z {\displaystyle \Phi _{Z}} to the continuous bilinear maps is the space of continuous linear maps X π Y Z {\displaystyle X\otimes _{\pi }Y\to Z} .

When the topologies of X {\displaystyle X} and Y {\displaystyle Y} are induced by seminorms, the topology of X π Y {\displaystyle X\otimes _{\pi }Y} is induced by seminorms constructed from those on X {\displaystyle X} and Y {\displaystyle Y} as follows. If p {\displaystyle p} is a seminorm on X {\displaystyle X} , and q {\displaystyle q} is a seminorm on Y {\displaystyle Y} , define their tensor product p q {\displaystyle p\otimes q} to be the seminorm on X Y {\displaystyle X\otimes Y} given by ( p q ) ( b ) = inf r > 0 , b r W r {\displaystyle (p\otimes q)(b)=\inf _{r>0,\,b\in rW}r} for all b {\displaystyle b} in X Y {\displaystyle X\otimes Y} , where W {\displaystyle W} is the balanced convex hull of the set { x y : p ( x ) 1 , q ( y ) 1 } {\displaystyle \left\{x\otimes y:p(x)\leq 1,q(y)\leq 1\right\}} . The projective topology on X Y {\displaystyle X\otimes Y} is generated by the collection of such tensor products of the seminorms on X {\displaystyle X} and Y {\displaystyle Y} .[2][1] When X {\displaystyle X} and Y {\displaystyle Y} are normed spaces, this definition applied to the norms on X {\displaystyle X} and Y {\displaystyle Y} gives a norm, called the projective norm, on X Y {\displaystyle X\otimes Y} which generates the projective topology.[3]

Properties

Throughout, all spaces are assumed to be locally convex. The symbol X ^ π Y