Łojasiewicz inequality

From HandWiki

In real algebraic geometry, the Łojasiewicz inequality, named after Stanisław Łojasiewicz, gives an upper bound for the distance of a point to the nearest zero of a given real analytic function. Specifically, let ƒ : U → R be a real analytic function on an open set U in Rn, and let Z be the zero locus of ƒ. Assume that Z is not empty. Then for any compact set K in U, there exist positive constants α and C such that, for all x in K

[math]\displaystyle{ \operatorname{dist}(x,Z)^\alpha \le C|f(x)|. }[/math]

Here α can be large.

The following form of this inequality is often seen in more analytic contexts: with the same assumptions on f, for every p ∈ U there is a possibly smaller open neighborhood W of p and constants θ ∈ (0,1) and c > 0 such that

[math]\displaystyle{ |f(x)-f(p)|^\theta\le c|\nabla f(x)|. }[/math]

A special case of the Łojasiewicz inequality, due to Boris Polyak (ru), is commonly used to prove linear convergence of gradient descent algorithms.[1]

References

  1. Karimi, Hamed; Nutini, Julie; Schmidt, Mark (2016). "Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak–Łojasiewicz Condition". arXiv:1608.04636 [cs.LG].

External links