Locally Testable Codes and Cayley Graphs Research Overview

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Explore the intersection of locally testable codes and Cayley graphs through the works of Parikshit Gopalan, Salil Vadhan, and Yuan Zhou. Delve into the concepts of local testing, strong testing, asymptotically good regimes, and d-wise independence in this comprehensive research compilation.

  • Research
  • Locally Testable Codes
  • Cayley Graphs
  • Parikshit Gopalan
  • Algorithms

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  1. Locally Testable Codes and Caylay Graphs Parikshit Gopalan (MSR-SVC) Salil Vadhan (Harvard) Yuan Zhou (CMU)

  2. Locally Testable Codes Local tester for an [n, k, d]2linear code C Queries few coordinates Accepts codewords Rejects words far from the code with high probability [BenSasson-Harsha-Raskhodnikova 05]: A local tester is a distribution D on (low-weight) dual codewords

  3. Locally Testable Codes [Blum-Luby-Rubinfeld 90, Rubinfeld-Sudan 92, Freidl- Sudan 95]: (strong) tester for an [n, k, d]2code Queries coordinates according to D on -smooth: queries each coordinate w.p. Rejects words at distance d w.p. d By definition: must have ; would like = ( ) Pr[Reject] .1 Distance from C 1 d/2

  4. The price of locality? Asymptotically good regime #information bits k = (n), distance d = (n) Are there asymptotically good 3-query LTCs? Existential question proposed by [Goldreich-Sudan 02] Best construction: n=k polylog(k), d = (n) [Dinur 05] Rate-1 regime: let d be a large constant, = (1/d), n How large can k be for an [n, k, d]2 -smooth LTC? BCH: n-k = (d/2) log(n), but not locally testable [BKSSZ 08]: n-k = log(n)log(d) from Reed-Muller Can we have n-k = Od(log(n))?

  5. h F2 Caylay graphs on . h,S) Cay(F2 S ={s1,s2, ,sn} F2 F2 {(x,x+si):x F2 Graph Vertices: Edges: h h h,i [n]} S={e1,e2, ,eh} Hypercube: h = n, We are interested in h < n Definition. S is d-wise independent if every subset T of S, where |T|<d, is linearly independent

  6. h F2 Caylay graphs on . s1 h,S) Cay(F2 S ={s1,s2, ,sn} F2 F2 {(x,x+si):x F2 Graph Vertices: Edges: h s2 s2 h h,i [n]} s1 d-wise independent: Abelian analogue of large girth Cycles occur when edge labels sum to 0 always has 4-cycles Cay(F2 h,S)

  7. h F2 Caylay graphs on . h,S) Cay(F2 S ={s1,s2, ,sn} F2 F2 {(x,x+si):x F2 Graph Vertices: Edges: h h h,i [n]} d-wise independent: Abelian analogue of large girth Cycles occur when edge labels sum to 0 always has 4-cycles non-trivial cycles have length at least d h,S) Cay(F2

  8. h F2 Caylay graphs on . h,S) Cay(F2 S ={s1,s2, ,sn} F2 F2 {(x,x+si):x F2 Graph Vertices: Edges: h h h,i [n]} d-wise independent: Abelian analogue of large girth Cycles occur when edge labels sum to 0 always has 4-cycles non-trivial cycles have length at least d (d/2)-neighborhood of any vertex is isomorphic to B(n, d/2), but the vertex set has dimension h << n h,S) Cay(F2

  9. 1- embeddings of graph Embedding f: V(G) Rd has distortion c if for every x, y |f(x) f(y)|1 dG(x, y) c|f(x) f(y)|1 c1(G) = minimum distortion over all embeddings

  10. Our results Theorem. The following are equivalent An [n, k, d]2 code C with a tester of smoothness and soundness A Cayley graph where |S| = n, S is d- wise independent, and the graph has an embedding of distortion / Corollary. There exist asymptotically good strong LTCs iff there exists s.t. |S| = (1+ (1))h S is (h)-wise independent c1(G) = O(1) n-k,S) Cay(F2 1- G=Cay(F2 h,S)

  11. Our results Theorem. The following are equivalent An [n, k, d]2 code C with a tester of smoothness and soundness A Cayley graph where |S| = n, S is d- wise independent, and the graph has an embedding of distortion / Corollary. There exist [n, n-Od(log n), d]2 strong LTCs iff there exists s.t. |S| = 2 d(h) S is d-wise independent c1(G) = O(1) n-k,S) Cay(F2 1- G=Cay(F2 h,S)

  12. The correspondence n-k,S) Cay(F2 , |S|=n, [n, k, d]2 code C: (n-k) x n parity check matrix [s1, s2, , sn] S is d-wise indep. Vertex set: F2n/C, x,x+e1 ), x,x+e2 Edge set: . ( ( ), , x,x+en ( ) y x Claim. Shortest path between and equals the shortest Hamming distance from (x y) to a codeword. 1- To show: the correspondence between embeddings and local testers.

  13. Embeddings from testers Given a tester distribution D on , each a ~ D defines a cut on V(G) = F2n/C an embedding 1- Claim. The embedding has distortion / Proof. Given two nodes and distG(x,y)=wt(x-y) y x d wt(x-y) Pr[(x-y)isrejected] e wt(x-y)

  14. Testers from Embeddings Given embedding distribution D on If D supported on linear functions, we d be (essentially) done. Claim. There is a distribution D on linear functions with distortion as good as D. Proof sketch. Extend f to all points in The Fourier expansion is supported on : n F2 fa ( ) 2 ca When D samples f, D samples w.p.

  15. Applications [Khot-Naor 06]: If has distance (n) and relative rate (1), then c1(G) = (n) where G is the Caylay graph defined by C as described before Proof. Suffices to lowerbound / Since has distance (n), we have = (1) Let t be the covering radius of C, we have 1/t (since the rej. prob. can be t ) t = (n) (since has distance (n)) Therefore / t = (n)

  16. Future directions Can we use this equivalence to prove better constructions (or better lower bounds) for LTCs?

  17. Thanks!

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