Historical Context & Motivation
For centuries, thinkers assumed that heavier objects fall faster than lighter ones. Aristotle taught this idea around 350 BCE, and it went largely unchallenged for almost two thousand years. It was not until the Renaissance that scientists began to question this assumption by performing actual experiments and developing the mathematics to describe motion more precisely.
When Galileo Galilei showed that all objects in a vacuum accelerate at the same rate, he set the stage for a deeper question: why don't objects in the real world behave exactly that way? The answer lies in air resistance, or drag — a force that opposes motion through a fluid. Modeling drag mathematically requires a differential equation, making this one of the most natural first applications of first-order ODEs.
The central question this lesson addresses is: how do we write and solve a differential equation that predicts the velocity of a falling object when air resistance is proportional to velocity? Understanding this model connects Newtonian physics to the powerful techniques of first-order ODEs.
Core Principles & Definitions
Before diving into the math, you need to understand a few foundational ideas. In free fall without air resistance, the only force on an object is gravity. The moment we introduce a fluid — like air or water — a new resistive force appears that depends on how fast the object is moving.
Gravity (Weight)
Linear Drag Force
Newton's Second Law
Terminal Velocity
First-Order ODE
Free-Body Diagram & Force Balance
The best way to set up the differential equation is to start with a free-body diagram. The diagram below shows a ball falling downward with two forces acting on it: the weight mg pulling it down and the linear drag force bv pushing it up (opposing the motion). On the right, the diagram illustrates how these forces change as the object accelerates from rest toward terminal velocity.
Notice a crucial feature on the right-hand graph: the red dashed line representing mg is perfectly flat because gravity doesn't depend on speed. The cyan curve for bv starts at zero (because the object starts from rest) and rises as the object speeds up. Where the two meet, the net force is zero, acceleration vanishes, and velocity becomes constant. This equilibrium speed is what we call the terminal velocity.
Mathematical Framework
Let's convert the physics into a differential equation. We define the positive direction as downward (the direction of fall). The two forces on the object are: gravity mg (positive, downward) and drag −bv (negative, upward). Applying Newton's second law, Fnet = ma, gives us the governing equation.
Dividing both sides by m and rearranging puts this into standard first-order linear form:
To solve by separation of variables, rewrite as dv/(g − (b/m)v) = dt. Integrating both sides (using a u-substitution on the left) and applying the initial condition v(0) = v₀ gives the general solution.
Velocity vs. Time Graph & Time Constant
The solution v(t) = vT(1 − e−bt/m) describes an exponential approach to terminal velocity. The ratio τ = m/b is called the time constant. After one time constant, the velocity has reached about 63% of vT; after three time constants, it has reached roughly 95%. The graph below makes this progression clear.
| Time (multiples of τ) | Percentage of v_T reached | Value of 1 − e^(−t/τ) |
|---|---|---|
| 0 | 0% | 0.000 |
| 1τ | 63.2% | 0.632 |
| 2τ | 86.5% | 0.865 |
| 3τ | 95.0% | 0.950 |
| 5τ | 99.3% | 0.993 |
The time constant τ = m/b controls how quickly the object approaches terminal velocity. A heavy object in a weakly resisting medium (large m, small b) has a large τ and takes a long time to reach terminal speed. A light object in thick fluid (small m, large b) reaches terminal velocity almost immediately.
Worked Example
Let's walk through a complete problem. A small steel ball of mass 0.5 kg is dropped from rest through a viscous oil. The drag coefficient is b = 2.0 kg/s. Find the terminal velocity and the velocity after 0.5 seconds.
Strengths & Limitations of the Linear Drag Model
The linear drag model is elegant and solvable by hand, but it doesn't apply to every falling-object scenario. Understanding when it works well — and when it doesn't — is essential for choosing the right model in practice.
| Aspect | Strengths | Limitations |
|---|---|---|
| Solvability | Produces a clean, closed-form exponential solution — no numerical methods needed. | Only works when drag is proportional to v; quadratic drag (F ∝ v²) requires more advanced techniques. |
| Physical accuracy | Excellent for small objects at low speeds in viscous fluids (Stokes' law regime). | Poor for fast-moving objects in air (e.g., baseballs, skydivers) where drag scales with v². |
| Intuition building | Clearly introduces terminal velocity, time constants, and exponential approach — ideas that carry over to harder models. | May give students a false impression that all drag problems are equally straightforward. |
| Real-world examples | Pollen grains settling in air, tiny droplets in fog, microorganisms in water. | Not directly applicable to parachutes, cars, or most everyday objects without modification. |
Connection to Advanced Theory: Quadratic Drag & Beyond
For most macroscopic objects falling through air at everyday speeds, the drag force is better described as proportional to the square of velocity: Fdrag = −cv². This quadratic drag model leads to a different and harder differential equation. The table below compares the two models side by side.
| Feature | Linear Drag (F = −bv) | Quadratic Drag (F = −cv²) |
|---|---|---|
| ODE | m(dv/dt) = mg − bv | m(dv/dt) = mg − cv² |
| Type | First-order linear | First-order nonlinear (separable) |
| Closed-form solution? | Yes — simple exponential | Yes — involves hyperbolic tangent (tanh) |
| Terminal velocity | v_T = mg/b | v_T = √(mg/c) |
| Best applies to | Tiny objects at low Re (Stokes flow) | Larger objects in air at moderate to high Re |
The dimensionless quantity that determines which model to use is the Reynolds number (Re). When Re is small (roughly below 1), the linear model applies. When Re is large (above about 1000), quadratic drag dominates. In between, a more complex combination may be needed. As you continue studying differential equations, the quadratic drag model gives you practice with separable nonlinear ODEs and introduces the hyperbolic functions — a valuable extension of the ideas you've built here.
Practice Problems
Lesson Summary
A falling object experiencing linear drag (Fdrag = −bv) is governed by the first-order linear ODE m(dv/dt) = mg − bv. Solving this equation (via separation of variables or an integrating factor) yields v(t) = v_T(1 − e^(−t/τ)) for an object starting from rest, where v_T = mg/b is the terminal velocity and τ = m/b is the time constant.
The velocity rises exponentially toward vT, reaching roughly 63% after one time constant and 95% after three time constants. This model works best for small objects at low Reynolds numbers (e.g., droplets, dust, microorganisms) and serves as a stepping stone to the more general quadratic drag model needed for larger everyday objects.