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E-raamat: Tensors: Asymptotic Geometry and Developments 2016-2018

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Tensors are used throughout the sciences, especially in solid state physics and quantum information theory. This book brings a geometric perspective to the use of tensors in these areas. It begins with an introduction to the geometry of tensors and provides geometric expositions of the basics of quantum information theory, Strassen's laser method for matrix multiplication, and moment maps in algebraic geometry. It also details several exciting recent developments regarding tensors in general. In particular, it discusses and explains the following material previously only available in the original research papers: (1) Shitov's 2017 refutation of longstanding conjectures of Strassen on rank additivity and Common on symmetric rank; (2) The 2017 Christandl-Vrana-Zuiddam quantum spectral points that bring together quantum information theory, the asymptotic geometry of tensors, matrix multiplication complexity, and moment polytopes in geometric invariant theory; (3) the use of representation theory in quantum information theory, including the solution of the quantum marginal problem; (4) the use of tensor network states in solid state physics, and (5) recent geometric paths towards upper bounds for the complexity of matrix multiplication.

Numerous open problems appropriate for graduate students and post-docs are included throughout.
Preface vii
Part 1 Basics
1(18)
Chapter 1 Motivation, first definitions and properties
3(16)
1.1 Linear algebra
3(3)
1.2 Tensors
6(2)
1.3 Geometric definitions and first properties of tensors
8(4)
1.4 Algebraic varieties and group actions
12(7)
Part 2 Tensors via linear algebra
19(30)
Chapter 2 Rank and border rank
21(16)
2.1 Three way tensors via linear subspaces of matrices
21(1)
2.2 Generalized flattenings (rank methods) and their limits
21(6)
2.3 Indirectly defined equations
27(2)
2.4 Strassen's additivity conjecture and the Comon conjecture
29(3)
2.5 Proof of Shitov's non-additivity theorem
32(5)
Chapter 3 Tensor networks
37(12)
3.1 Quantum mechanics motivation
37(1)
3.2 Matrix product states (MPS)
37(6)
3.3 Additional information on tensor networks
43(2)
3.4 The quantum max-flow/min-cut problem
45(4)
Part 3 The asymptotic geometry of tensors
49(80)
Chapter 4 Detour into probability and information theory
51(8)
4.1 Probability
51(3)
4.2 Classical information theory
54(5)
Chapter 5 Strassen's laser method and spectral theory
59(20)
5.1 Strassen's laser method
59(7)
5.2 New paths towards upper bounds?
66(5)
5.3 Strassen's spectral theory
71(5)
5.4 Oblique and tight tensors
76(3)
Chapter 6 Quantum mechanics for quantum information theory
79(16)
6.1 Computation via linear algebra
79(2)
6.2 Quantum mechanics via probability
81(3)
6.3 Why density operators?
84(2)
6.4 Bell's game and "teleportation"
86(2)
6.5 Quantum channels and von Neumann entropy
88(3)
6.6 Entanglement and LOCC
91(4)
Chapter 7 Quantum information theory and the asymptotic geometry of tensors
95(20)
7.1 Representation theory
95(6)
7.2 The quantum marginal problem and projections onto isotypic subspaces of H⊗d
101(6)
7.3 The quantum spectral points
107(4)
7.4 Slice rank
111(4)
Chapter 8 Moment maps and moment poly topes
115(14)
8.1 The rational moment polytope
115(2)
8.2 First examples
117(1)
8.3 Finite generation
118(2)
8.4 Moment maps for projective varieties
120(5)
8.5 Polynomials and tensors
125(1)
8.6 Secant varieties, free, oblique and tight vectors
126(3)
Hints and Answers to Selected Exercises 129(4)
Bibliography 133(8)
Index 141
J.M. Landsberg, Texas A&M University, College Station, TX.