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Mathematics professor at Cambridge

Dec
5
answered Why is it useful to study vector bundles?
Dec
1
comment k-pseudorandom measures
The problem there is that the sets we are looking at are so sparse that the U^k norm of any function is dominated by the degenerate cubes and so tells you nothing. Also, the control of one norm by another is often OK in the dense case but breaks down if you are sitting inside a sparse random set (because the constant depends on the sparsity of the random set).
Nov
30
awarded  Nice Answer
Nov
29
comment k-pseudorandom measures
It's not true that we removed the correlation condition -- that question is still open. What we did was look at functions bounded by random as opposed to pseudorandom measures, and we obtained best possible results by considering a specially constructued norm rather than the $U^k$ norm. The paper will be posted on the arXiv soon.
Nov
29
awarded  Nice Answer
Nov
29
revised Typical value of totient function
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Nov
28
awarded  Popular Question
Nov
28
awarded  Self-Learner
Nov
28
answered Typical value of totient function
Nov
28
awarded  Editor
Nov
28
answered What is the first interesting theorem in (insert subject here)?
Nov
28
asked Typical value of totient function
Nov
28
revised Intuitive explanation to Probability question
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Nov
28
answered Intuitive explanation to Probability question
Nov
26
answered A random walk matrix has eigenvalue 1 with multiplicty 1 - why?
Nov
23
answered Finding the new zeros of a “perturbed” polynomial
Nov
23
awarded  Nice Answer
Nov
22
answered Ramsey Theory, monochromatic subgraphs
Nov
21
comment Can infinity shorten proofs a lot?
Not the latter as I go by my middle name. Happy to make the change but have not managed to find where I can do it. (Please excuse my utter incompetence.)
Nov
20
awarded  Commentator