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Internal energy models

Internal energy accounts for microscopic kinetic and interaction energy that is not captured by bulk center-of-mass motion. Its exact model depends on what the system includes. It is not a universal “lost energy” bucket: a transfer may be internal, external, unresolved, or deliberately omitted depending on the stated boundary.

Think like a programmer

Define internal energy as a named accumulator with documented terms and a system boundary. Do not let “lost” mechanical energy disappear: route it to a modeled reservoir, record it as a boundary transfer, or explicitly record an unresolved residual. Maintain separate fields for bulk kinetic energy, interaction potential, thermal/internal reservoirs, and external work so a later model can refine one term without changing the ledger meaning.

Model checklist

Inputs
Microscopic kinetic terms, interaction potentials, temperature/material model, system boundary, heat/work events, and omitted-reservoir policy.
State
Named internal-energy terms, bulk kinetic energy, external-transfer ledger, unresolved residual, and boundary metadata.
Rule
Sum declared microscopic contributions; route each transfer across or within the selected boundary; never silently discard a balance difference.
Output
Internal-energy change, included-term breakdown, boundary transfers, and accounting residual.
Check
Changing system boundary changes classification but not total energy of the combined system; a friction fixture transfers bulk kinetic energy into a declared reservoir; every reported total names included and omitted terms.
\[U=K_{\rm microscopic}+V_{\rm interactions}+\cdots\]

For a block sliding with kinetic friction, a coarse model may reduce its center-of-mass kinetic energy. A closed-system ledger must place the corresponding increase somewhere: internal energy of the block, internal energy of the surface, emitted sound, or an explicitly unresolved residual. Choosing the block alone as the system classifies contact heating as an external transfer; choosing block plus surface can classify it as internal redistribution. Neither boundary is automatically wrong, but mixing them between updates is.

An ideal gas offers a compact special case: its internal energy is modeled mainly from microscopic kinetic degrees of freedom and can depend only on temperature in the stated range. Real materials add rotational, vibrational, phase, chemical, electronic, and defect contributions. A scalar U is useful only if its included reservoirs and equation/model are documented.

Try this experiment

Prediction: Friction can lower bulk kinetic energy while raising a declared internal-energy reservoir; changing the system boundary changes classification, not combined-system accounting.

Define a block-only boundary and then a block-plus-surface boundary. List which terms are internal and which cross each boundary. Create a fixture in which bulk kinetic energy falls by 5 J and state the ledger entry that preserves a closed-system total. Name one deliberately omitted reservoir and how output reports it.

Where this model breaks

Real materials have phase, chemical, quantum, radiative, and nonequilibrium contributions. A simple ideal-gas model cannot represent all reservoirs, and assigning “heat” to a single particle is often not meaningful. Coarse-graining can hide spatial temperature gradients or irreversible production, so a single internal-energy scalar may need field or particle-state refinement.

Summary

Internal energy is a boundary-dependent accounting model. Name every included reservoir, every crossing transfer, and every unresolved residual; then use fixture ledgers to prevent mechanical energy from disappearing by convention.

Glossary

Self-check

  1. Why is internal energy boundary-dependent?
  2. Where can frictional loss be recorded?
  3. What must a ledger disclose?

Sources

Model contract

Treat the lesson as a small function before treating it as a fact to memorize. Give every value a unit, keep only the state needed for the next step, and make the output easy to inspect.

\[\text{observable output} = f(\text{inputs},\,\text{state})\]
Inputs
Quantities you set or measure, with units and useful bounds.
State
Values the program must retain to reproduce the next result.
Rule
The relationship or update that turns inputs and state into a result.
Check
A known limit, unit check, invariant, or measured result that can expose a bad model.

Implement the idea as a model

For Internal Energy Models, write down the quantities you can control, the values your program must retain, and the result a reader could inspect. In Temperature and the First Law, the useful program is not the drawing: it is the smallest explicit model that makes a prediction you can test.

Guided experiment

Prediction: changing one declared input while holding the others fixed should change only the outputs that the model connects to that input. Choose one input, predict the direction of change, then check a limiting case such as zero, a symmetric arrangement, or a familiar low-speed or small-change approximation.

Where this model breaks

This lesson is a teaching model, not a complete simulator. Before using it outside the stated question, check which interactions, scales, uncertainties, boundary conditions, and measurement limits it leaves out.

Summary

Treat Internal Energy Models as a contract: named inputs and units enter a rule, the rule produces an observable result, and a known limit or invariant checks whether the implementation deserves trust.

Glossary

  • Input: a measured value or chosen parameter supplied to a model.
  • State: the smallest set of values needed to continue or reproduce a model.
  • Validation: comparing an output with a known result, limit, invariant, or measurement.

Self-check

  1. Which values are inputs, and which values must remain state?
  2. What observable result would tell you the model is behaving as expected?
  3. Which assumption would you test first before applying the model to a real system?

Model review: turn Internal Energy Models into a test

Define internal energy as an explicit system-boundary-dependent accounting ledger.

  1. Name the inputs and units that the temperature and the first law model needs.
  2. Separate the state you must keep from values you can calculate when needed.
  3. Write one rule that maps the current state and inputs to an observable result.
  4. Choose a limiting case, unit check, invariant, or known result before trusting an output.
  5. State one assumption you would change before using this simplified model for a real decision.

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