What Can be Said About the Kernel of a Tensor Product of Linear Maps?

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SUMMARY

The kernel of the tensor product of two linear maps, f_1 and f_2, can be analyzed through their individual kernels. Specifically, if both f_1 and f_2 are injective, then the tensor product f_1 \otimes f_2 is also injective. The discussion highlights the complexity of deriving implications when the tensor product acts on elements of the form ∑ v_1 ⊗ v_2, particularly when considering cases where either v_1 ∈ ker f_1 or v_2 ∈ ker f_2 leads to the tensor product being zero. A simplified case involving linear functionals illustrates how the tensor product can be expressed in terms of dual vectors.

PREREQUISITES
  • Understanding of linear maps and vector spaces over a field F
  • Familiarity with tensor products of vector spaces
  • Knowledge of kernels of linear transformations
  • Basic concepts of dual vectors and linear functionals
NEXT STEPS
  • Study the properties of tensor products in linear algebra
  • Explore the relationship between injectivity and kernels in linear maps
  • Learn about dual spaces and their role in linear transformations
  • Investigate specific examples of linear functionals and their tensor products
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Mathematicians, linear algebra students, and educators seeking to deepen their understanding of tensor products and linear transformations.

ihggin
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Suppose f_1 is a linear map between vector spaces V_1 and U_1, and f_2 is a linear map between vector spaces V_2 and U_2 (all vector spaces over F). Then f_1 \otimes f_2 is a linear transformation from V_1 \otimes_F V_2 to U_1 \otimes_F U_2. Is there any "nice" way that we can write the kernel of f_1 \otimes f_2 in terms of the kernels of f_1 and f_2? For example, is it true that f_1 and f_2 injective implies f_1 \otimes f_2 is injective?

I tried assuming f_1 \otimes f_2 acting on a general element \sum v_1 \otimes v_2 was zero, but the resulting tensor \sum f_1(v_1) \otimes f_2(v_2) is too complicated for me to draw implications for v_1 and v_2. It is obvious that v_1 \in \ker f_1 or v_2 \in \ker f_2 implies that the latter tensor product is 0, but what can be said for the other direction?
 
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I suggest to look at a simple case, when f and g are linear functionals on the same vector space. Then they are given by a pair of (dual) vectors, say v and w, and an element of the tensor product of vector space by itself is essentially a matrix, say A.
Then you will get something like

(f\otimes g)(A)=\langle v,Aw\rangle

What can you deduce in this simple case?

I hope my reasoning is roughly correct, but I was making just quick intuitive guesses.
 

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