Tensor homework. Renzo’s math 469 Decomposable tensors Let V and W be two dimensional vector spaces with bases e1 , e2 , f1 , f2 , respectively. Prove that the tensor T = a e1 ⊗ f1 + b e1 ⊗ f2 + c e2 ⊗ f1 + d e2 ⊗ f2 is decomposable if and only if ad − bc = 0. Now replace V with V ∗ , so that you can think of T as a linear transformation from V to W . What does T being decomposable correspond to in the language of linear functions. Why? Changing basis . 1. Let V have bases e1 , . . . , en and f1 , . . . , fn , and for each j P two i let fj = i aj ei . The tensor A = aij is called the matrix of base change for V . Given a vector X v= v k fk , how do you describe the vector v in the basis e1 , . . . , en ? P 2. Let f k = i ãkl el give the transformation for the dual vectors. Prove that the matrix ãkl is A−1 . 3. Given a general operator T ∈ L(V ), described as a tensor in some basis e1 , . . . , en , describe how the tensor changes when changing to a different basis f1 , . . . , fn . The identity function . 1. Show that the identity operator in Id. ∈ L(V ) is expressed, in P i any basis, by the tensor e ⊗ ei . 2. Show that any linear operator T ∈ L(V, W ) is seen as a tensor as follows: • Consider the map IdV ∗ ⊗ T : V ∗ ⊗ V → V ∗ ⊗ W . P • Consider the element (IdV ∗ ⊗ T )( ei ⊗ ei ). 1 Trace Let T ∈ L(V ) be an operator, and consider it as a tensor in V ∗ ⊗V . We can now obtain a number by contracting the upper and lower index of such tensor. Show that this produces the trace of V . Notice that since the contraction of tensors along factors does not depend on the choice of basis, it follows that the trace of a matrix doesn’t change when you conjugate the matrix by any invertible matrix. 2