Worksheet 4-3: Lipschitz Gradient

Worksheet 4-3: Lipschitz Gradient#

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Useful facts. Let \(f: \mathbb{R}^n \to \mathbb{R}\) be \(C^2\).

  • If \(f \in C^{1,1}_L(\mathbb{R}^n)\) (i.e., \(\nabla f\) is \(L\)-Lipschitz), then \(\|\nabla^2 f(\mathbf{x})\| \le L\) for all \(\mathbf{x}\).

  • A once-differentiable function is Lipschitz on \(\Omega\) if its gradient is bounded on \(\Omega\).

  • For one-dimensional functions, \(\nabla f\) is Lipschitz on \(\Omega\) iff \(f''\) is bounded on \(\Omega\).


Worksheet 4-3: Q1#

For each of the following functions, determine:

  • Is the function Lipschitz on the domain given?

  • Is its gradient/derivative Lipschitz? (i.e., does the function belong to \(C^{1,1}\)?)

Function

Domain

Lipschitz?

\(\nabla f\) Lipschitz?

\(f(x) = mx + b\)

\(\mathbb{R}\)

\(f(x) = \sqrt{x}\)

\([0, \infty)\)

\(f(x) = x^2\)

\(\mathbb{R}\)

\(f(x) = \sin(x)\)

\(\mathbb{R}\)

\(f(x) = e^{-x}\)

\([0, \infty)\)

\(f(x,y) = 2\sin(x) - 10.9y^2 + \pi e^{-(x^2+y^2)}\)

\(\mathbb{R}^2\)


Worksheet 4-3: Q2#

Consider the function \(f(x,y) = x^2 + y^4\) and starting point \(\mathbf{x}_0 = (1, 1)^\top\).

  1. Perform 3 iterations of gradient descent with step size \(t = 1/2\).

    (a) \(\mathbf{x}_1 = ?\)

    (b) \(\mathbf{x}_2 = ?\)

    (c) \(\mathbf{x}_3 = ?\)

  2. Comment on the convergence behavior observed in the \(x\)- and \(y\)-components. Are they converging at the same rate?

  3. Is the \(C^{1,1}\) assumption satisfied for \(f(x,y) = x^2 + y^4\)? Explain.