2017
DOI: 10.1007/978-3-319-51951-7_4
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Integral Geometry and Algebraic Structures for Tensor Valuations

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Cited by 5 publications
(5 citation statements)
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“…The algebra of symmetric tensors over R n is denoted by T (the underlying R n will be clear from the context), the vector space of symmetric tensors of rank p ∈ N 0 is denoted by T p with T 0 = R. The symmetric tensor product of tensors T i ∈ T, i = 1, 2, over R n is denoted by T 1 T 2 ∈ T, and for q ∈ N 0 and a tensor T ∈ T we write T q for the q-fold tensor product of T , where T 0 := 1; see also the contributions [43,16] in the lecture notes [49] for further details and references. Identifying R n with its dual space via the given scalar product, we interpret a symmetric tensor of rank p as a symmetric p-linear map from (R n ) p to R. A special tensor is the metric tensor Q ∈ T 2 , defined by Q(x, y) := x, y for x, y ∈ R n .…”
Section: Preliminariesmentioning
confidence: 99%
“…The algebra of symmetric tensors over R n is denoted by T (the underlying R n will be clear from the context), the vector space of symmetric tensors of rank p ∈ N 0 is denoted by T p with T 0 = R. The symmetric tensor product of tensors T i ∈ T, i = 1, 2, over R n is denoted by T 1 T 2 ∈ T, and for q ∈ N 0 and a tensor T ∈ T we write T q for the q-fold tensor product of T , where T 0 := 1; see also the contributions [43,16] in the lecture notes [49] for further details and references. Identifying R n with its dual space via the given scalar product, we interpret a symmetric tensor of rank p as a symmetric p-linear map from (R n ) p to R. A special tensor is the metric tensor Q ∈ T 2 , defined by Q(x, y) := x, y for x, y ∈ R n .…”
Section: Preliminariesmentioning
confidence: 99%
“…Theorem 24 (Wannerer [47]). Let A be the local additive kinematic operator, and a r 1 ,r 2 the additive kinematic operator for tensor valuations (see [21,22] From the theorem we can derive a strategy to compute the operator A, i.e. the local additive kinematic formulas: we have to choose r 1 , r 2 in such a way that M r 1 and M r 2 are injective, and then a r 1 ,r 2 will determine A.…”
Section: The Moment Map and Additive Kinematic Formulas For Tensor Vamentioning
confidence: 99%
“…He then went on to compute the relevant parts of the additive kinematic formula a 2,2 for unitarily invariant tensor valuations. He first proved an additive version of Theorem 10 for tensor valuations, relating a and the convolution product of tensor valuations (compare also [21]). The convolution product of unitarily invariant tensor valuations of rank 2 can be computed using a formula from [18].…”
Section: Hermitian Casementioning
confidence: 99%
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“…An extensive theory of integral geometric intersection formulas for tensor valued valuations, also with values in spaces of measures, was developed in [2,5,7,8,9,13,15]. We also refer to the survey article [1].…”
Section: Introductionmentioning
confidence: 99%