Testing Polynomials over General Fields

In this work we fill in the knowledge gap concerning testing polynomials over finite fields. As previous works show, when the cardinality of the field, q, is sufficiently larger than the degree bound, d, then the number of queries sufficient for testing is polynomial or even linear in d. On the other hand, when q = 2 then the number of queries, both sufficient and necessary, grows exponentially with d. Here we study the intermediate case where 2 1). Then the number of queries performed by the test grows like /spl lscr/ /spl middot/ q/sup 2/spl lscr/+1/, where /spl lscr/ = /spl lceil/(d+1)/((q-q)/p)/spl rceil/. Furthermore, q/sup /spl Omega/(/spl lscr/)/ queries are necessary when q /spl les/ O(d). The test itself provides a unifying view of the two extremes: it considers random affine subspaces of dimension /spl lscr/ and verifies that the function restricted to the selected subspaces is a degree d polynomial. Viewed in the context of coding theory, our result shows that Reed-Muller codes over general fields (usually referred to as generalized Reed-Muller (GRM) codes) are locally testable. In the course of our analysis we provide a characterization of small-weight words that span the code. Such a characterization was previously known only when the field size is a prime or is sufficiently large, in which case the minimum weight words span the code.

Authors

• Tali Kaufman
• Dana Ron

Keywords

• Polynomials
• Galois fields
• Chromium
• Computer science
• Knowledge engineering
• Performance evaluation
• Codes
• System testing
• Bridges
• General Field
• Sufficiently Large
• Field Size
• Polynomial Of Degree
• Finite Field
• Coding Theory
• Random Subspace
• Test Problems
• Linear Constraints
• Testing Algorithm
• Linear Distance
• Total Degree
• Low-density Parity-check Codes
• Dual Coding
• Weight Of Words