• Title: Local Extrema

  • Series: Multivariable Calculus

  • Chapter: Extrema of Functions

  • YouTube-Title: Multivariable Calculus 18 | Local Extrema

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  • Quiz: Test your knowledge

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  • Subtitle on GitHub: mc18_sub_eng.srt missing

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  • Definitions in the video: local maximum, local minimum, isolated local minimum, isolated local maximum, local extremum, critical point, positive definite matrix, indefinite matrix

  • Timestamps

    00:00 Introduction

    00:42 Explaining local extrema

    01:51 Definition: Local maximum and local minimum

    03:10 Correction: Isolated and strict local maxima should be distinguished, see PDF!

    04:12 Definition: Local extremum

    04:44 Necessary condition for local extremum

    06:12 Sufficient condition for local extremum

    08:31 Positive definite Hessian

    09:30 Negative definite Hessian

    09:54 Indefinite definite Hessian

    11:13 Implication from having a local extremum

    12:59 Outro

  • Subtitle in English (n/a)
  • Quiz Content

    Q1: Let $f: \mathbb{R}^2 \rightarrow \mathbb{R}$ be given by $f(x_1, x_2) = 4$ for all $(x_1, x_2) \in \mathbb{R}^2$. Does $f$ has a local maximum at the point $(1,3)$?

    A1: Yes!

    A2: No, but it’s an isolated local minimum.

    A3: No, the function has no local maxima.

    A4: One needs more information.

    Q2: Let $f: \mathbb{R}^2 \rightarrow \mathbb{R}$ be given by $f(x_1, x_2) = x_1^2 + x_2^2 $ for all $(x_1, x_2) \in \mathbb{R}^2$. Does $f$ has a local maximum at the point $(0,0)$?

    A1: Yes!

    A2: No, but it’s an isolated local minimum.

    A3: No, the function has no local maxima.

    A4: One needs more information.

    Q3: Let $f: \mathbb{R}^2 \rightarrow \mathbb{R}$ given by $f(x_1, x_2) = \cos(x_1 x_2)$. What is the Hessian at $(0,0)$?

    A1: $ \begin{pmatrix} 0 & 0 \ 0 & 0 \end{pmatrix}$

    A2: $ \begin{pmatrix} -1 & 0 \ 0 & -1 \end{pmatrix}$

    A3: $ \begin{pmatrix} -1 & 0 \ 0 & 2 \end{pmatrix}$

    A4: $ \begin{pmatrix} 1 & 2 \ 0 & 2 \end{pmatrix}$

    A5: $ \begin{pmatrix} 1 & 0 \ 0 & 2 \end{pmatrix}$

  • Last update: 2026-04

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