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On the complexity of isomorphism problems for tensors, groups, and polynomials I: Tensor Isomorphism

Talkat ITCS 2021 · 2021-01-06..01-08
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Proves that for any constant D≥3, D-tensor isomorphism reduces in polynomial time to 3-tensor isomorphism, so a large cluster of problems (cubic forms, algebra isomorphism, group-class-2 instances, quantum-state local equivalence) become TI-complete. Reductions use explicit path-algebra quotient constructions plus associative-algebra tools (Jacobson radical, Wedderburn) and Gregor-style graph recovery, and a gadget reduction turns general tensors into lists of skew-symmetric slices to reduce to alternating matrix isometry. Average-case running times drop from q^{n^2} to q^n, worst-case remains essentially brute force.

AI-written summary · about

  1. 0:00Start
  2. 0:20The Problem of Tensor Isomorphism
  3. 2:10The Isomorphism Problem for Polynomials for Tensors and for Groups
  4. 4:39Group Isomorphism
  5. 7:24Tensor Isomorphism
  6. 11:03Does It Mean for Two Tensors To Be Isomorphic
  7. 17:06Equivalence of Quantum States
  8. 18:33Matrix Conjugacy
  9. 19:56Results
  10. 24:11Reductions
  11. 26:30How Do We Reduce Tensor Isomorphism to Alternating Matrix Space Isometry
  12. 29:26Tensor Isomorphism over Different Fields
  13. 30:22Lattice Isomorphism
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