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Perplex
Perplex
Dashboard
Topics
Exponents & LogarithmsApproximations & ErrorSequences & SeriesFinancial Mathematics
Cartesian plane & linesFunction TheoryModelling
2D & 3D GeometryVoronoi Diagrams
ProbabilityDescriptive StatisticsBivariate StatisticsDistributions & Random VariablesInference & Hypotheses
DifferentiationIntegration
Review VideosFormula BookletMy Progress
BlogLanding Page
Sign UpLogin
Perplex
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Differentiation
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Applications of the First Derivative
Mixed Practice
Applications of the First Derivative
Differentiation

Applications of the First Derivative

0 of 0 exercises completed

Increasing and decreasing intervals, stationary points (maxima and minima), and optimisation

Want a deeper conceptual understanding? Try our interactive lesson! (Plus Only)

Stationary points & Increasing/Decreasing Regions
SL 5.2
​
f′(x)⎩⎪⎨⎪⎧​<0⇔f decreasing=0⇔f stationary>0⇔f increasing​🚫
​
Maxima & Minima
SL AI 5.6

Stationary points are often local extrema.


If ​f′(a)=0,  ​f​ is decreasing to the left of ​a​ (​f′(x)<0​), and ​f​ is increasing to the right of ​a​ (​f′(x)>0​), then ​(a,f(a))​ is a local minimum.


If ​f′(a)=0,  ​f​ is increasing to the left of ​a​ (​f′(x)<0​), and ​f​ is decreasing to the right of ​a​ (​f′(x)>0​), then ​(a,f(a))​ is a local maximum.

Optimisation
SL AI 5.7

Optimisation problems require you to find a minimum or maximum value by producing a function ​f(x), taking its derivative, solving ​f′(x)=0, and confirming which stationary point(s) are minima or maxima.

Nice work completing Applications of the First Derivative, here's a quick recap of what we covered:

Skills covered

Mixed Practice

Exercises checked off

I'm Plex, here to help you understand this concept!
/
Differentiation
/
Applications of the First Derivative
Mixed Practice
Applications of the First Derivative
Differentiation

Applications of the First Derivative

0 of 0 exercises completed

Increasing and decreasing intervals, stationary points (maxima and minima), and optimisation

Want a deeper conceptual understanding? Try our interactive lesson! (Plus Only)

Stationary points & Increasing/Decreasing Regions
SL 5.2
​
f′(x)⎩⎪⎨⎪⎧​<0⇔f decreasing=0⇔f stationary>0⇔f increasing​🚫
​
Maxima & Minima
SL AI 5.6

Stationary points are often local extrema.


If ​f′(a)=0,  ​f​ is decreasing to the left of ​a​ (​f′(x)<0​), and ​f​ is increasing to the right of ​a​ (​f′(x)>0​), then ​(a,f(a))​ is a local minimum.


If ​f′(a)=0,  ​f​ is increasing to the left of ​a​ (​f′(x)<0​), and ​f​ is decreasing to the right of ​a​ (​f′(x)>0​), then ​(a,f(a))​ is a local maximum.

Optimisation
SL AI 5.7

Optimisation problems require you to find a minimum or maximum value by producing a function ​f(x), taking its derivative, solving ​f′(x)=0, and confirming which stationary point(s) are minima or maxima.

Nice work completing Applications of the First Derivative, here's a quick recap of what we covered:

Skills covered

Mixed Practice

Exercises checked off

I'm Plex, here to help you understand this concept!

Generating starter questions...

Generating starter questions...