Math 2.0

Functional analysis Definition

Projective tensor product

Builds on Banach spaceTensor product of vector spaces

Definition

Let XX and YY be Banach spaces over 𝕂=ℝ\mathbb{K} = \R or β„‚\C, and let XβŠ—YX \otimes Y be their algebraic tensor product. For u∈XβŠ—Yu \in X \otimes Y, let Ο€(u)=inf⁑{βˆ‘i=1nβˆ₯xiβˆ₯ βˆ₯yiβˆ₯:u=βˆ‘i=1nxiβŠ—yi}.\pi(u) = \inf \Big\{ \sum_{i=1}^n \norm{x_i} \, \norm{y_i} : u = \sum_{i=1}^n x_i \otimes y_i \Big\}. The infimum runs over all finite representations of uu. Then Ο€\pi is a norm on XβŠ—YX \otimes Y, the projective norm. The projective tensor product XβŠ—^Ο€YX \widehat{\otimes}_\pi Y is the completion of XβŠ—YX \otimes Y for Ο€\pi.

Remarks

The norm is a cross norm: Ο€(xβŠ—y)=βˆ₯xβˆ₯ βˆ₯yβˆ₯\pi(x \otimes y) = \norm{x} \, \norm{y}. The bound ≀\le comes from the representation with one term. For β‰₯\ge, take functionals f∈Xβˆ—f \in X^* and g∈Yβˆ—g \in Y^* of norm 11 with f(x)=βˆ₯xβˆ₯f(x) = \norm{x} and g(y)=βˆ₯yβˆ₯g(y) = \norm{y}, given by the Hahn–Banach theorem. For any representation, βˆ₯xβˆ₯ βˆ₯yβˆ₯=βˆ£βˆ‘if(xi)g(yi)βˆ£β‰€βˆ‘iβˆ₯xiβˆ₯ βˆ₯yiβˆ₯\norm{x} \, \norm{y} = \abs{\sum_i f(x_i) g(y_i)} \le \sum_i \norm{x_i} \, \norm{y_i}.

The infimum is needed: u=0u = 0 can be written as xβŠ—y+xβŠ—(βˆ’y)x \otimes y + x \otimes (-y), with cost 2βˆ₯xβˆ₯ βˆ₯yβˆ₯2 \norm{x} \, \norm{y}. A single representation does not give a well-defined number.

Universal property: bounded bilinear maps B ⁣:XΓ—Yβ†’ZB \colon X \times Y \to Z into a Banach space ZZ correspond to bounded linear maps XβŠ—^Ο€Yβ†’ZX \widehat{\otimes}_\pi Y \to Z with the same norm. In particular, the dual of XβŠ—^Ο€YX \widehat{\otimes}_\pi Y is the space of bounded linear maps from XX to Yβˆ—Y^*. For example, β„“1βŠ—^Ο€β„“1\ell^1 \widehat{\otimes}_\pi \ell^1 is isometric to β„“1(β„•Γ—β„•)\ell^1(\N \times \N).

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Further reading

  1. Web https://en.wikipedia.org/wiki/Projective_tensor_product
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Kinddefinition
WritingW0 stub
MSC46B28, 46M05
DefinesProjective tensor product
UsesBanach space, Tensor product of vector spaces

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