4. Differential Calculus II

Curve Sketching With Derivatives

Curve Sketching with Derivatives

Welcome, students. In engineering, a graph is more than a picture πŸ“ˆ. It can show how a bridge bends, how a motor speed changes, or how temperature rises in a machine part. Curve sketching with derivatives helps us turn a formula into a clear visual shape and understand what the function is doing without plotting every single point.

Learning goals

By the end of this lesson, you should be able to:

  • explain the key ideas and terms used in curve sketching with derivatives,
  • use derivative information to build a graph step by step,
  • connect the graph to real engineering meaning,
  • understand how this topic fits into Differential Calculus II,
  • interpret turning points, stationary points, and intervals where a function increases or decreases.

Why derivatives help us sketch curves

A derivative tells us the rate at which a function is changing. If a function is $y=f(x)$, then its derivative is $\frac{dy}{dx}$ or $f'(x)$. This is extremely useful because the sign and size of $f'(x)$ give strong clues about the shape of the graph.

If $f'(x)>0$, then $f(x)$ is increasing. If $f'(x)<0$, then $f(x)$ is decreasing. If $f'(x)=0$, the graph may have a stationary point, which is a point where the tangent is horizontal. That stationary point could be a local maximum, a local minimum, or neither.

Engineers use this kind of reasoning all the time. For example, if $s(t)$ is the position of a moving robot arm, then $s'(t)$ is velocity. If $s'(t)$ changes from positive to negative, the arm changes direction. On a sketch, that change appears as a turning point.

A good curve sketch is not just about drawing a smooth line. It is about finding the important features of the function:

  • intercepts,
  • stationary points,
  • intervals of increase and decrease,
  • concavity,
  • points of inflection,
  • end behavior.

Step 1: Find the main features of the function

Start by identifying the function and its domain. The domain is the set of allowed $x$ values. In engineering, domains matter because inputs may be restricted by physical limits. For example, time may only be $t\ge 0$, and a length may need to be positive.

Next, find the intercepts. The $y$-intercept happens when $x=0$, so you calculate $f(0)$ if it exists. The $x$-intercepts happen when $f(x)=0$. These points help anchor the graph.

Now look for any symmetry. A function is even if $f(-x)=f(x)$, which means the graph is symmetric about the $y$-axis. A function is odd if $f(-x)=-f(x)$, which gives symmetry about the origin. Symmetry can save time when sketching.

Example: Suppose $f(x)=x^2-4$. The $x$-intercepts satisfy $x^2-4=0$, so $x=\pm 2$. The $y$-intercept is $f(0)=-4$. Since $f(-x)=f(x)$, the graph is symmetric about the $y$-axis. These three facts already reveal a lot about the sketch.

Step 2: Use the first derivative to find turning behavior

The first derivative is the main tool for identifying where the graph rises and falls. Begin by calculating $f'(x)$. Then solve $f'(x)=0$ and also check where $f'(x)$ is undefined, if those points are in the domain.

These critical values divide the number line into intervals. On each interval, test the sign of $f'(x)$.

  • If $f'(x)>0$ on an interval, the graph increases there.
  • If $f'(x)<0$ on an interval, the graph decreases there.

A change from increasing to decreasing means a local maximum. A change from decreasing to increasing means a local minimum. Together, these are called local extrema.

Let’s look at a simple example. Take $f(x)=x^3-3x$.

First derivative:

$$f'(x)=3x^2-3=3(x^2-1)=3(x-1)(x+1).$$

Set $f'(x)=0$:

$$3(x-1)(x+1)=0,$$

so the critical points are $x=-1$ and $x=1$.

Now test intervals:

  • For $x<-1$, choose $x=-2$. Then $f'(-2)=9>0$, so the graph increases.
  • For $-1<x<1$, choose $x=0$. Then $f'(0)=-3<0$, so the graph decreases.
  • For $x>1$, choose $x=2$. Then $f'(2)=9>0$, so the graph increases again.

So the graph has a local maximum at $x=-1$ and a local minimum at $x=1$. The corresponding function values are $f(-1)=2$ and $f(1)=-2$. This gives the turning shape of the curve.

Step 3: Use the second derivative for concavity

The second derivative adds another layer of information. If $f''(x)>0$, the curve is concave up, meaning it bends like a cup. If $f''(x)<0$, the curve is concave down, meaning it bends like a frown. Concavity helps show how the slope itself is changing.

To find possible inflection points, solve $f''(x)=0$ or check where $f''(x)$ is undefined. But a point is only an inflection point if the concavity actually changes sign there.

For the earlier example $f(x)=x^3-3x$:

$$f''(x)=6x.$$

Set $f''(x)=0$:

$$6x=0 \Rightarrow x=0.$$

Check the sign of $f''(x)$:

  • if $x<0$, then $f''(x)<0$, so the graph is concave down,
  • if $x>0$, then $f''(x)>0$, so the graph is concave up.

Since concavity changes at $x=0$, there is an inflection point at $(0,0)$.

This information is powerful in engineering. Imagine a beam deflection curve. Concave up and concave down regions can indicate changes in bending behavior. Even without exact measurements, the derivative signs give a reliable qualitative picture.

Step 4: Put the information together to sketch the graph

Once you have intercepts, stationary points, intervals of increase and decrease, and concavity, you can sketch the curve more accurately.

A practical sketching strategy is:

  1. Identify the domain.
  2. Find intercepts.
  3. Find stationary points using $f'(x)=0$.
  4. Decide where the function increases or decreases.
  5. Use $f''(x)$ to find concavity and inflection points.
  6. Check end behavior for large positive and negative $x$.
  7. Draw a smooth curve that matches all the evidence.

End behavior is especially important for polynomial functions. For example, the graph of $f(x)=x^3-3x$ goes to $-\infty$ as $x\to -\infty$ and to $\infty$ as $x\to \infty$. That tells you the overall direction of the tails.

A sketch is not a guess. It is an informed drawing based on derivatives and function values.

Example from an engineering context

Suppose the displacement of a machine part is modeled by

$$s(t)=t^3-6t^2+9t,$$

where $t\ge 0$ is time.

We want to sketch $s(t)$.

First, factor the function:

$$s(t)=t(t-3)^2.$$

So the intercepts are $t=0$ and $t=3$. Both are useful because they show when the part is at the reference position.

Now find the first derivative:

$$s'(t)=3t^2-12t+9=3(t^2-4t+3)=3(t-1)(t-3).$$

Set $s'(t)=0$:

$$3(t-1)(t-3)=0,$$

so the stationary points are $t=1$ and $t=3$.

Check the sign of $s'(t)$:

  • for $0<t<1$, choose $t=0.5$, and $s'(0.5)>0$ so the function increases,
  • for $1<t<3$, choose $t=2$, and $s'(2)<0$ so the function decreases,
  • for $t>3$, choose $t=4$, and $s'(4)>0$ so the function increases.

This means there is a local maximum at $t=1$ and a local minimum at $t=3$. In a physical context, that could mean the part moves outward, slows to a peak, then moves back, and later rises again.

Now find the second derivative:

$$s''(t)=6t-12=6(t-2).$$

Set $s''(t)=0$:

$$6(t-2)=0 \Rightarrow t=2.$$

Since $s''(t)<0$ for $t<2$ and $s''(t)>0$ for $t>2$, there is an inflection point at $t=2$.

This example shows how a full curve sketch tells a story about motion. The graph is not just a shape; it is a record of change over time βš™οΈ.

Common mistakes to avoid

A frequent mistake is to stop after finding $f'(x)=0$ and assume every critical point is a maximum or minimum. That is not always true. Some stationary points are inflection points with a horizontal tangent.

Another mistake is to confuse concavity with increase or decrease. A graph can be increasing and concave down at the same time. These are different ideas: increase/decrease depends on $f'(x)$, while concavity depends on $f''(x)$.

It is also important to check whether a point is inside the domain. If a function is not defined at a point, then that point cannot be used as a normal graph point. In engineering, undefined values may represent a breakdown in a model or a physical limit.

Finally, do not rely on one piece of evidence alone. A correct sketch uses several derivative-based clues together.

Conclusion

Curve sketching with derivatives is a core skill in Differential Calculus II because it links algebra, calculus, and graph interpretation. By using $f'(x)$, you can find where a function rises, falls, and turns. By using $f''(x)$, you can understand concavity and inflection points. When these ideas are combined with intercepts, domain, and end behavior, you can sketch a graph with confidence and explain what it means in a real engineering situation.

Study Notes

  • A derivative, written as $f'(x)$ or $\frac{dy}{dx}$, describes how a function changes.
  • If $f'(x)>0$, the function increases; if $f'(x)<0$, the function decreases.
  • Stationary points occur where $f'(x)=0$ or where $f'(x)$ is undefined in the domain.
  • A change from increasing to decreasing gives a local maximum.
  • A change from decreasing to increasing gives a local minimum.
  • The second derivative, $f''(x)$, helps determine concavity.
  • If $f''(x)>0$, the graph is concave up; if $f''(x)<0$, the graph is concave down.
  • An inflection point occurs where concavity changes sign.
  • Good curve sketching uses intercepts, derivatives, concavity, domain, and end behavior together.
  • In engineering, curve sketching helps interpret motion, bending, growth, and other changing quantities.

Practice Quiz

5 questions to test your understanding