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idealized physical models and applicability limits

Learning objectives

  • Outcome

    Identify at least two assumptions in a given physical model and state which properties of the real object they discard.

  • Outcome

    Estimate a model’s applicability limit by comparing the neglected effect with the main effect by order of magnitude.

  • 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, T=2πL/gT=2\pi\sqrt{L/g} for small pendulum oscillations or pV=nRTpV=nRT 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 h(t)=v0t−12gt2h(t)=v_0 t-\frac{1}{2}gt^2, 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 gg 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 55 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 m=0,145m=0{,}145 kg and radius r=0,050r=0{,}050 m moves at speed vv. The model without air resistance is considered applicable while the drag force Fd=12CρAv2F_d=\frac12 C\rho A v^2 does not exceed 10%10\% of the weight. For C=0,47C=0{,}47 and ρ=1,2\rho=1{,}2 kg/m$^3$, estimate the maximum speed vv at which the model is still acceptable.

Solution

Cross-sectional area: A=πr2=π(0,050)2=7,85⋅10−3A=\pi r^2=\pi(0{,}050)^2=7{,}85\cdot10^{-3} m$^2$. Drag coefficient: k=12CρA=12(0,47)(1,2)(7,85⋅10−3)=2,21⋅10−3k=\frac12 C\rho A=\frac12(0{,}47)(1{,}2)(7{,}85\cdot10^{-3})=2{,}21\cdot10^{-3} N/(m/s)2^2. Weight: W=mg=0,145⋅9,81=1,42W=mg=0{,}145\cdot9{,}81=1{,}42 N. The 10%10\% threshold: 0,10W=0,1420{,}10W=0{,}142 N. Then v=0,142/(2,21⋅10−3)=64,3=8,0v=\sqrt{0{,}142/(2{,}21\cdot10^{-3})}=\sqrt{64{,}3}=8{,}0 m/s. Thus, up to about 88 m/s air resistance contributes less than 10%10\% of the weight; at higher speeds a model with air resistance is needed.

Transfer

Problem

A mathematical pendulum has length L=1,0L=1{,}0 m. The formula T0=2πL/gT_0=2\pi\sqrt{L/g} is derived for small angles. Estimate the relative correction T≈T0(1+θ02/16)T\approx T_0(1+\theta_0^2/16) for θ0=5∘\theta_0=5^\circ and θ0=40∘\theta_0=40^\circ. Draw a conclusion about the applicability limit of the small-oscillation model.

Solution

Convert the angles to radians: 5∘=0,08735^\circ=0{,}0873 rad, 40∘=0,69840^\circ=0{,}698 rad. For 5∘5^\circ: θ02/16=(0,0873)2/16=4,8⋅10−4\theta_0^2/16=(0{,}0873)^2/16=4{,}8\cdot10^{-4}, i.e. a correction of about 0,05%0{,}05\%. For 40∘40^\circ: θ02/16=(0,698)2/16=3,0⋅10−2\theta_0^2/16=(0{,}698)^2/16=3{,}0\cdot10^{-2}, i.e. about 3%3\%. At 5∘5^\circ the small-oscillation model is highly accurate; at 40∘40^\circ it gives a noticeable but still limited useful estimate. For about 1%1\% accuracy by this correction, one needs θ0<0,16=0,40\theta_0<\sqrt{0{,}16}=0{,}40 rad ≈23∘\approx23^\circ, 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 v0v_0 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 5%5\%, 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 ∣error∣|\text{error}| versus the parameter.

Real-world examples

Football free kick: the ball as a point mass

Scenario

A ball of mass 0,43 kg0{,}43\ \text{kg} is kicked at 25 m/s25\ \text{m/s} at 30∘30^\circ to the horizontal. Without air resistance the model gives range R=v2sin⁡2θg=(25)2sin⁡60∘9,81≈55 mR=\frac{v^2\sin 2\theta}{g}=\frac{(25)^2\sin 60^\circ}{9{,}81}\approx 55\ \text{m}. 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 1200 kg1200\ \text{kg} travels at 50 km/h≈13,9 m/s50\ \text{km/h}\approx 13{,}9\ \text{m/s}. In a simple braking model with friction coefficient μ=0,7\mu=0{,}7, the braking distance is s=v22μg=(13,9)22⋅0,7⋅9,81≈14 ms=\frac{v^2}{2\mu g}=\frac{(13{,}9)^2}{2\cdot 0{,}7\cdot 9{,}81}\approx 14\ \text{m}. On wet ice with μ=0,1\mu=0{,}1 the same formula gives about 99 m99\ \text{m}.

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 1000 m1000\ \text{m} is heated by 30∘C30^\circ\text{C} in summer. With the linear expansion coefficient of steel α≈12⋅10−6 ∘C−1\alpha\approx 12\cdot 10^{-6}\ ^\circ\text{C}^{-1}, the elongation is ΔL=αLΔT≈12⋅10−6⋅1000⋅30=0,36 m\Delta L=\alpha L\Delta T\approx 12\cdot 10^{-6}\cdot 1000\cdot 30=0{,}36\ \text{m}. That is why bridges have expansion gaps and movable supports.

Connection

If the bridge were treated as a perfectly rigid body, ΔL\Delta L would be zero. The observed elongation shows the applicability limit of that idealization and requires a model that includes thermal expansion and deformation.