Concavity, Slope, and Graphs

πŸ” First, a quick refresher:

  • A function is increasing when its slope is positive β€” it's going up as you move right.

  • A function is decreasing when its slope is negative β€” it's going down as you move right.

  • The rate at which a function increases or decreases depends on the second derivative, which tells us about the function's concavity.


🎯 What does it mean to:

1. Increase at a decreasing rate?

  • The function is going up, but it's doing so more slowly as you move right.

  • So the slope (first derivative) is positive but decreasing.

  • This means the second derivative is negative.

  • Therefore, the graph is concave down.

Example:
f(x)=xf(x) = \sqrt{x}f(x)=x​ or f(x)=ln⁑(x)f(x) = \ln(x)f(x)=ln(x) β€” these increase, but the rate slows down.


2. Decrease at an increasing rate?

  • The function is going down, but it's doing so more steeply as you move right.

  • So the slope is negative and becoming more negative.

  • Again, the second derivative is negative.

  • The graph is also concave down.

Example:
f(x)=βˆ’exf(x) = -e^xf(x)=βˆ’ex β€” it's decreasing, and the drop gets steeper.


3. Increase at an increasing rate?

  • The function is going up, and going up faster and faster.

  • The slope is positive and getting more positive.

  • The second derivative is positive.

  • The graph is concave up.

Example:
f(x)=exf(x) = e^xf(x)=ex or f(x)=x2f(x) = x^2f(x)=x2


4. Decrease at a decreasing rate?

  • The function is going down, but it's slowing down its descent.

  • The slope is negative, but getting less negative.

  • So the second derivative is positive.

  • The graph is concave up.

Example:
f(x)=βˆ’xf(x) = -\sqrt{x}f(x)=βˆ’x​ (on a domain where it's defined)


🧠 TL;DR β€” How it all connects:

Behavior

Slope (fβ€²)

Change in Slope (fβ€³)

Concavity

Increase at increasing rate

+

+

Concave up

Increase at decreasing rate

+

–

Concave down

Decrease at increasing rate

–

–

Concave down

Decrease at decreasing rate

–

+

Concave up