Gutenberg–Richter law

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In mathematics, there are at least two results known as "Weyl's inequality".

Weyl's inequality in number theory

In number theory, Weyl's inequality, named for Hermann Weyl, states that if M, N, a and q are integers, with a and q coprime, q > 0, and f is a real polynomial of degree k whose leading coefficient c satisfies

|ca/q|tq2,

for some t greater than or equal to 1, then for any positive real number ε one has

x=MM+Nexp(2πif(x))=O(N1+ε(tq+1N+tNk1+qNk)21k) as N.

This inequality will only be useful when

q<Nk,

for otherwise estimating the modulus of the exponential sum by means of the triangle inequality as N provides a better bound.

Weyl's inequality in matrix theory

In linear algebra, Weyl's inequality is a theorem about the changes to eigenvalues of a Hermitian matrix that is perturbed. It is useful if we wish to know the eigenvalues of the Hermitian matrix H but there is an uncertainty about the entries of H. We let H be the exact matrix and P be a perturbation matrix that represents the uncertainty. The matrix we 'measure' is M=H+P.

The theorem says that if M, H and P are all n by n Hermitian matrices, where M has eigenvalues

μ1μn

and H has eigenvalues

ν1νn

and P has eigenvalues

ρ1ρn

then the following inequalties hold for i=1,,n:

νi+ρnμiνi+ρ1

More generally, if j+knir+s1,,n, we have

νj+ρkμiνr+ρs

If P is positive definite (that is, ρn>0) then this implies

μi>νii=1,,n.

Note that we can order the eigenvalues because the matrices are Hermitian and therefore the eigenvalues are real.

References

  • Matrix Theory, Joel N. Franklin, (Dover Publications, 1993) ISBN 0-486-41179-6
  • "Das asymptotische Verteilungsgesetz der Eigenwerte linearer partieller Differentialgleichungen", H. Weyl, Math. Ann., 71 (1912), 441–479