Learning objectives
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Outcome
Identify at least two assumptions in a given physical model and state which properties of the real object they discard.
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Outcome
Estimate a model’s applicability limit by comparing the neglected effect with the main effect by order of magnitude.
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Outcome
Select a model for a specific problem and justify when refinement is needed as conditions change.
Understand the idea
Idealized Physical Models and Limits of Applicability
Text
Physical theory connects observed quantities by laws, while experiment provides data for testing predictions. To apply theory, one builds an idealized model: essential variables are selected and assumptions are introduced, such as a point mass, an ideal gas, or a mathematical pendulum. Such a model predicts, for example, for small pendulum oscillations or for an ideal gas. Its limits of applicability are determined by how small the discarded factors are compared with the retained ones. If a prediction systematically disagrees with experiment, the model is refined: air resistance, body size, molecular interaction, or large angles are included. Therefore the same theory allows different models: the choice depends on the problem and the required accuracy.
Worked examples
Direct
Problem
For the model of vertical stone flight , name two assumptions and one condition under which the model is applicable.
Solution
Assumptions: the stone is treated as a point mass; air resistance is neglected; the acceleration is constant and directed vertically downward. Applicability condition: the drag force is small compared with the weight, and the flight height is much less than the Earth's radius. For example, for a short throw at m/s this is a good approximation, whereas for a fast fall from a great height it is no longer good.
Application
Problem
A ball of mass kg and radius m moves at speed . The model without air resistance is considered applicable while the drag force does not exceed of the weight. For and kg/m$^3$, estimate the maximum speed at which the model is still acceptable.
Solution
Cross-sectional area: m$^2$. Drag coefficient: N/(m/s). Weight: N. The threshold: N. Then m/s. Thus, up to about m/s air resistance contributes less than of the weight; at higher speeds a model with air resistance is needed.
Transfer
Problem
A mathematical pendulum has length m. The formula is derived for small angles. Estimate the relative correction for and . Draw a conclusion about the applicability limit of the small-oscillation model.
Solution
Convert the angles to radians: rad, rad. For : , i.e. a correction of about . For : , i.e. about . At the small-oscillation model is highly accurate; at it gives a noticeable but still limited useful estimate. For about accuracy by this correction, one needs rad , and in practice friction and bob size must also be considered.
Practice
Text
Self-study simulation plan. Open a projectile motion simulation, for example PhET “Projectile Motion”, and switch on the no-air-resistance mode. Launch the projectile at fixed and angle, and record the range. Then switch on air resistance and repeat with the same parameters; vary mass, diameter, and speed one parameter at a time. Make a table: parameter, range without air resistance, range with air resistance, relative discrepancy. State for which values of speed and size the no-air-resistance model gives a discrepancy below , and for which it needs refinement. Do not perform real throws near people or glass; use only the simulation.
Visual reference
Purpose
Show that an idealized model is not reality itself but a chosen scheme with assumptions and a region of applicability.
Representation
Diagram: on the left, a real object (stone, pendulum, gas), an arrow to an “assumptions” box (point mass, no friction, small angles), then a “model equations” box and a “predictions” box. On the right, draw a parameter axis, for example speed or angle, and a shaded “model applicable” region; beyond its boundary show growing error and an arrow to a refined model. If useful, add a mini-graph of versus the parameter.
Real-world examples
Football free kick: the ball as a point mass
Scenario
A ball of mass is kicked at at to the horizontal. Without air resistance the model gives range . On a real pitch the ball may travel noticeably less at such a kick, especially if it is spinning.
Connection
This tests the idealization 'point mass + no air resistance'. Comparison with real flight shows the applicability limit: at high speeds and with spin, drag and the Magnus effect become significant.
Car braking: constant friction force
Scenario
A car of mass travels at . In a simple braking model with friction coefficient , the braking distance is . On wet ice with the same formula gives about .
Connection
The example uses a model where the car is a rigid body, friction is constant, and air resistance and driver reaction time are neglected. The sharp change in result when the surface changes shows which conditions lie within the model's applicability limits.
Bridge and thermal expansion: when the rigid-body model fails
Scenario
A steel bridge of length is heated by in summer. With the linear expansion coefficient of steel , the elongation is . That is why bridges have expansion gaps and movable supports.
Connection
If the bridge were treated as a perfectly rigid body, would be zero. The observed elongation shows the applicability limit of that idealization and requires a model that includes thermal expansion and deformation.