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Hardness for Sequence Problems - LCS and Frechet Distance

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Reduction from Orthogonal Vectors produces two sequences X,Y of length N·poly(d) (construction time N·poly(d)) so LCS, edit distance, DTW and Fréchet are distinguishing β vs β+1 hard: if some vector pair is orthogonal the optimal score increases by one, otherwise it stays at N·β. The reduction uses tiny coordinate gadgets (C0=46, C1=4, E0=6 4, E1=6), concatenated into q/r/p padding blocks with N−1 repeats to force gadget-aligned matches, yielding no n^{2−ε} algorithm unless OV fails.

AI-written summary · about

  1. 0:00Introduction
  2. 0:18Plan and scope
  3. 1:44Sequence walk problems
  4. 3:28Frechet distance
  5. 7:51Dynamic time warping
  6. 8:54Longest common subsequence
  7. 12:14Edit distance
  8. 15:22Hardness introduction
  9. 17:38OV conjecture and bounds
  10. 20:52Reduction strategy
  11. 24:24LCS reduction attempt
  12. 28:41Gadgets for LCS
  13. 32:20Final LCS construction
  14. 36:10Vector gadgets construction
  15. 40:29Coordinate gadgets
  16. 45:35Hardness recap
  17. 49:33Conclusions and Q&A
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