# double dot product tensor

• ### double dot tensor product (double inner product

2011-7-28 · double dot tensor product (double inner product) implementation. I m trying to solve energy equation using a modified icoFoam solver. I would like to take into account viscous dissipations in energy equation and to do that I need to calculate the double inner product between the viscous stress tensor and gradient of velocity.

• ### Vector Matrix and Tensor Derivatives

2017-3-26 · taking the dot product between the 3rd row of W and the vector x y 3 = XD j=1 W 3j x j (2) At this point we have reduced the original matrix equation (Equation 1) to a scalar equation. This makes it much easier to compute the desired derivatives. 1.2 Removing summation notation

• ### Introduction to the Tensor ProductUC Santa Barbara

2012-3-11 · Introduction to the Tensor Product James C Hateley In mathematics a tensor refers to objects that have multiple indices. Roughly speaking this can be thought of as a multidimensional array. A good starting point for discussion the tensor product is the notion of direct sums. REMARK The notation for each section carries on to the next. 1

• ### Vector and Tensor AlgebraTU/e

2010-8-31 · 1.1.6 Tensor product The tensor product of two vectors represents a dyad which is a linear vector transformation. A dyad is a special tensorto be discussed later which explains the name of this product. Because it is often denoted without a symbol between the two vectors it is also referred to as the open product. The tensor product

• ### Compute a double dot product between two tensors of rank

2015-9-25 · I would need help to calculate a double dot product between a rank 3 tensor A and a rank 2 tensor B (A B) using mathematica. The double dot product is also known as the Frobenius inner product--in other words it is the result of flattening the matrices and treating them as vectors.

• ### Tensor Notation (Basics)Continuum Mechanics

2021-4-15 · Double Dot Products The double dot product of two matrices produces a scalar result. It is written in matrix notation as ( bf A bf B ). Once again its calculation is best explained with tensor notation. bf A bf B = A_ ij B_ ij

• ### pythonDouble dot product with broadcasting in numpy

2017-8-16 · Double dot product with broadcasting in numpy. Ask Question Asked 3 years 10 months ago. Active 3 years 10 months ago. I am looking for a general way to bridge from a given mathematical tensor operation to the equivalent numpy implementation with broadcasting-sum-reductions since I think every given tensor operation can be implemented

• ### matlabTensor double dot productMathematics Stack

2021-6-10 · I think you can only calculate this explictly if you have dyadic- and polyadic-product forms of your two tensors i.e. A = a b and B = c d e f where a b c d e f are vectors. Beware that there are two definitions for double dot product even for matrices both of

• ### 1 Vectors TensorsAuckland

2020-5-12 · 1.1.4 The Dot Product The dot product of two vectors a and b (also called the scalar product) is denoted by a b. It is a scalar defined by a b a b cos . (1.1.1) here is the angle between the vectors when their initial points coincide and is restricted to the range 0 Fig. 1.1.4. Figure 1.1.4 the dot product

• ### A REVIEW OF VECTORS AND TENSORSTAMU Mechanics

2017-1-4 · Dot product of vectors A second-order tensor is one that has two basis vectors standing next to each other and they satisfy the same rules as those of a vector (hence mathematically tensors are also called vectors). A second-order tensor and its .

• ### Tensor ReviewETH Z

2017-10-9 · 3. Dot Product of a Tensor and a Vector (order 1) (Vector Product) 4. Dot Product of a Tensor and a Vector (order 1) (Vector Product) Note unless τ is symmetric 5. Single Dot Product of 2 Tensors (order 2) (Tensor Product) Note 6. Double Dot Product of 2 Tensors σ τ (order 0) (Scalar Product) σ τ = σij τji

• ### A Some Basic Rules of Tensor Calculusuni-halle

2006-5-8 · Scalar (Dot) Product of two Vectors. For any pair of vectors a and b a scalar α is deﬁned by α = a ·b = abcos ϕ where ϕ is the angle between the vectors a and b. As ϕ one can use any of the two angles between the vectors Fig. A.3a. The properties of the scalar product area ·b = b ·a (commutativity) a ·(b c) = a ·b a ·c (distributivity)

• ### pythonDouble dot product with broadcasting in numpy

2017-8-16 · Double dot product with broadcasting in numpy. Ask Question Asked 3 years 10 months ago. Active 3 years 10 months ago. I am looking for a general way to bridge from a given mathematical tensor operation to the equivalent numpy implementation with broadcasting-sum-reductions since I think every given tensor operation can be implemented

• ### Tensor ReviewETH Z

2017-10-9 · 3. Dot Product of a Tensor and a Vector (order 1) (Vector Product) 4. Dot Product of a Tensor and a Vector (order 1) (Vector Product) Note unless τ is symmetric 5. Single Dot Product of 2 Tensors (order 2) (Tensor Product) Note 6. Double Dot Product of 2 Tensors σ τ (order 0) (Scalar Product) σ τ = σij τji

• ### Tutorial 1 Tensor Contractions Tensors

Technical notes The tensor reshape behaves differently in MATLAB/Julia versus Python due to a difference in convention. Both MATLAB and Julia use column-major order for storing matrices and tensors such that a d-by-d matrix B ij is stored as a length d 2 vector v k with k = i (j-1) d contrast Python uses row-major order such that a d-by-d matrix B ij is stored as a vector v k with k

• ### 4th order tensor inverse and double dot product

2017-5-10 · The double dot product is easy to compute if you don t think about the efficiency of the code just create an array and loop over the four indices. Computing the inverse is something else. Every tensor I use has the minor symmetries ##A_ ijkl = A_ jikl = A_ ijlk ## so I thought I would use the Mandel representation for second order and fourth

• ### 1 Vectors TensorsAuckland

2020-5-12 · 1.1.4 The Dot Product The dot product of two vectors a and b (also called the scalar product) is denoted by a b. It is a scalar defined by a b a b cos . (1.1.1) here is the angle between the vectors when their initial points coincide and is restricted to the range 0 Fig. 1.1.4. Figure 1.1.4 the dot product

• ### Double dot product of 4th order tensor iMechanica

2021-7-10 · while deriving Elasticity tensor I found a term where I have to do some tensor operation. It is as below P C PT where all the terms are 4th order tensors. Now I konw the result of this should be a 4th order tensor only as this term is in addition with other 4th order terms. Here any (A B) indicates Double dot product between A and B.

• ### numpy.tensordot — NumPy v1.21 Manual

2021-6-22 · axes = 0 tensor product (aotimes b) axes = 1 tensor dot product (acdot b) axes = 2 (default) tensor double contraction (a b) When axes is integer_like the sequence for evaluation will be first the -Nth axis in a and 0th axis in b and the -1th axis in a and Nth axis in b last.

• ### 1 Introduction to the Tensor ProductMIT

2020-12-30 · The tensor product V ⊗ W is thus deﬁned to be the vector space whose elements are (complex) linear combinations of elements of the form v ⊗ w with v ∈ V w ∈ W with the above rules for manipulation. The tensor product V ⊗ W is the complex vector space of

• ### linear algebra4th order tensors double dot product and

2017-5-11 · A double-dot product between two tensors becomes a single-dot product in the flattened matrix representation i.e. C = A B Cijmn = AijklBklmn C = A ⋅ B C αλ = A αβ B βλ. Finally the inverse of a 9 9 matrix C − 1 (should it exist) can be reconstituted into a fourth-order tensor.

• ### Chapter 1 Tensor Review and Notation

2004-1-9 · That is the ijcomponent of the dyadic product isviwj 2 Dot Product of 2 Vectors (Scalar Product) (order 0) (1.4) By convention we use the notation 3. Dot Product of a Tensor and a Vector (order 1) (Vector Product) (1.5) 4. Dot Product of a Vector and a Tensor (order 1) (Vector Product) Note unless τ is symmetric 5.

• ### Sébastien Brisard s blogOn the double dot product

Let Atens AA be a fourth-rank tensor. Then the linear mapping x↦A xtensxmapstotens Adbldottens xx↦A x (xtens xx second-rank tensor) is anendomorphism over the space of second-rank tensors. As such it is possible todefine its transpose ATtens A mathsf T AT provided that the space of second-ranktensors is equipped with a scalar product ⟨⋅ ⋅⟩langlecdot cdotrangle⟨⋅ ⋅⟩. Then bydefinition ⟨AT x y⟩=⟨x A y⟩.(1)langletens A mathsf T

• ### 1.10 Special Second Order Tensors Properties of

2020-5-12 · requirements of an inner product listed in §1.2.2. Thus this scalar quantity serves as an inner product for the space V 2 A B ≡A B =tr(ATB) (1.10.11) and generates an inner product space. Just as the base vectors e. i form an orthonormal set in the inner product (vector dot product) of the space of vectors so the base dyads . V e. i

• ### Appendix A Vector AlgebraMIT

2013-2-27 · Double-dot product with fourth order tensor C = C ijkle i e j e k e l pqe p e q= C ijkl pqe i e j(e ke p)(e le q) = C ijkl kle i e j Appendix B Vector Calculus B.1 nabla operator(r) In a Cartesian system with orthonormal basis fe ig the nabla operator ris denoted by r e i x 1 e 2 x 2 e 3 x 3

• ### 1.10 Special Second Order Tensors Properties of

2020-5-12 · requirements of an inner product listed in §1.2.2. Thus this scalar quantity serves as an inner product for the space V 2 A B ≡A B =tr(ATB) (1.10.11) and generates an inner product space. Just as the base vectors e. i form an orthonormal set in the inner product (vector dot product) of the space of vectors so the base dyads . V e. i

• ### Vector and Tensor AlgebraTU/e

2010-8-31 · 1.1.6 Tensor product The tensor product of two vectors represents a dyad which is a linear vector transformation. A dyad is a special tensorto be discussed later which explains the name of this product. Because it is often denoted without a symbol between the two vectors it is also referred to as the open product. The tensor product

• ### double dot tensor product (double inner product

2011-7-28 · double dot tensor product (double inner product) implementation. I m trying to solve energy equation using a modified icoFoam solver. I would like to take into account viscous dissipations in energy equation and to do that I need to calculate the double inner product between the viscous stress tensor and gradient of velocity.

• ### A REVIEW OF VECTORS AND TENSORSTAMU Mechanics

2017-1-4 · Dot product of vectors A second-order tensor is one that has two basis vectors standing next to each other and they satisfy the same rules as those of a vector (hence mathematically tensors are also called vectors). A second-order tensor and its .

• ### Tensor Arithmetics MTEX

2021-5-17 · The double dot product between two rank two tensors is essentially their inner product and can be equivalently computed from the trace of their matrix product. T1 T2 trace (T1 T2 ) trace (T1 T2) ans = 3.3131 ans = 3.3131 ans = 3.3131 Determinant. For rank two tensors we can compute the determinant of the tensor by the command det. det (T1)

• ### 1.10 Special Second Order Tensors Properties of

2020-5-12 · requirements of an inner product listed in §1.2.2. Thus this scalar quantity serves as an inner product for the space V 2 A B ≡A B =tr(ATB) (1.10.11) and generates an inner product space. Just as the base vectors e. i form an orthonormal set in the inner product (vector dot product) of the space of vectors so the base dyads . V e. i

• ### GitHubadtzlr/ttb Tensor Toolbox for Modern Fortran

The equations remain (nearly) the same. Dot Product Double Dot Productevery function is implemented in both full tensor and voigt notation. Look for the voigt-comments in an example of a user subroutine for MSC.Marc. Access Tensor components by Array

• ### Vector and Tensor AlgebraTU/e

2010-8-31 · 1.1.6 Tensor product The tensor product of two vectors represents a dyad which is a linear vector transformation. A dyad is a special tensorto be discussed later which explains the name of this product. Because it is often denoted without a symbol between the two vectors it is also referred to as the open product. The tensor product

• ### Tensor Arithmetics MTEX

2021-5-17 · The double dot product between two rank two tensors is essentially their inner product and can be equivalently computed from the trace of their matrix product. T1 T2 trace (T1 T2 ) trace (T1 T2) ans = 3.3131 ans = 3.3131 ans = 3.3131 Determinant. For rank two tensors we can compute the determinant of the tensor by the command det. det (T1)

• ### matlabDouble dot product of two tensorsStack Overflow

2021-3-20 · function C = double_dot(A B) for i=1 1 3 for j=1 1 3 C = C A(i j) B(i j) end end Or you can run a slight modification of Eitan s vectorized code (above). His code produces a vector. The inner product of two tensors should be a scalar. So you need to

• ### GitHubadtzlr/ttb Tensor Toolbox for Modern Fortran

The equations remain (nearly) the same. Dot Product Double Dot Productevery function is implemented in both full tensor and voigt notation. Look for the voigt-comments in an example of a user subroutine for MSC.Marc. Access Tensor components by Array

• ### 1 Vectors TensorsAuckland

2020-5-12 · 1.1.4 The Dot Product The dot product of two vectors a and b (also called the scalar product) is denoted by a b. It is a scalar defined by a b a b cos . (1.1.1) here is the angle between the vectors when their initial points coincide and is restricted to the range 0 Fig. 1.1.4. Figure 1.1.4 the dot product

• ### 1 Introduction to the Tensor ProductMIT

2020-12-30 · The tensor product V ⊗ W is thus deﬁned to be the vector space whose elements are (complex) linear combinations of elements of the form v ⊗ w with v ∈ V w ∈ W with the above rules for manipulation. The tensor product V ⊗ W is the complex vector space of

• ### 4th order tensor inverse and double dot product

2017-5-10 · The double dot product is easy to compute if you don t think about the efficiency of the code just create an array and loop over the four indices. Computing the inverse is something else. Every tensor I use has the minor symmetries ##A_ ijkl = A_ jikl = A_ ijlk ## so I thought I would use the Mandel representation for second order and fourth

• ### A Some Basic Rules of Tensor Calculusuni-halle

2006-5-8 · 170 A Some Basic Rules of Tensor Calculus a a b b ϕ ϕ 2π − ϕ n a = a a (b ·na)na a b Figure A.3 Scalar product of two vectors. a Angles between two vectors b unit vector and projection Scalar (Dot) Product of two Vectors. For any pair of vectors a and b a scalar α is deﬁned by α = a ·b = abcos ϕ where ϕ is the angle

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