4.7.8 · D5Partial Differential Equations
Question bank — Heat equation (parabolic) 1D — derivation from Fourier's law
True or false — justify
A point where the temperature profile is concave up () is currently cooling.
False. Concave up is a valley; its neighbours are hotter, so heat flows in and — it warms. Hills () cool.
The heat equation is symmetric under reversing time (), like Newton's laws.
False. Replacing turns into , a different (backward, unstable) equation. Heat spreads but never spontaneously un-spreads — that broken symmetry is the arrow of time.
If the temperature profile is a straight line everywhere, no point changes temperature.
True. A straight line has at every point, so . The linear profile is the 1D steady state.
Doubling the thermal conductivity always exactly doubles how fast the rod equilibrates.
Not in general. The time-scale is set by ; doubling doubles only if is held fixed. A material with large can have modest despite large .
The flux can be nonzero even where the temperature itself is zero.
True. Flux depends on the slope , not the value . A point at sitting on a steep gradient still passes heat through it.
A disturbance at one end of the rod takes some finite time to be felt at the far end.
False (mathematically). The heat equation is parabolic with infinite signal speed: any change is instantly felt everywhere, though its magnitude far away is exponentially tiny. (The wave equation is the finite-speed one.)
At a local maximum of temperature, the heat equation forces the temperature there to be non-increasing.
True. A local max has , so . This is the seed of the maximum principle: interior hot spots can only fade.
The equation with can make even a straight-line profile heat up.
True. With the source alone gives . A heat source warms a flat profile that would otherwise be steady.
Spot the error
"Fourier's law is because more gradient means more flux."
The sign is wrong. Heat flows from hot to cold, i.e. down the gradient, so . The magnitude does grow with the gradient — but the direction is opposite to .
"Since energy is conserved and reversible, the heat equation must be , second order in time."
Energy conservation gives , which is first order in — storage carries one time derivative, Fourier's flux carries none. Only would need a second physical law (like Newton's for waves). Diffusion is not reversible.
"The diffusivity is just the conductivity, ."
Missing the storage term. has units , whereas has units — they aren't even dimensionally the same, so is impossible.
"In Step 5 the right-hand side becomes ."
It becomes . Net-in , so dividing by gives the negative of the difference quotient, i.e. . Dropping that minus flips the sign of the whole PDE.
" measures the slope of the temperature, so means the temperature is constant."
is the curvature, not the slope; is the slope. means the profile is straight (constant slope), which can still rise across the rod — it need not be constant.
"Because is the net heat in, and heat leaving is bad, we should write net-in ."
No. Both fluxes point in . Energy enters the left face at rate and leaves the right face at rate , so net gain . The proposed version reverses in and out.
"A steady state means everywhere."
Steady state means , i.e. , giving a linear profile . The temperature can be large and varying in space; it just doesn't change in time.
Why questions
Why does a single multiply instead of separate constants , , ?
Dividing the balance by collapses all three material constants into the single ratio , the only combination that sets the diffusion time-scale.
Why must Fourier's law carry a minus sign for the final PDE to be physically stable?
The minus turns into , giving — smoothing and stable. A missing minus gives , the backward heat equation, which amplifies tiny wiggles explosively.
Why can we differentiate under the integral in Step 2 of the parent derivation?
The integration limits and are fixed in space; only the integrand depends on , so passes through the integral and hits only , giving .
Why does the curvature (not the slope) decide whether a point warms or cools?
What matters is whether a point is hotter or colder than the average of its neighbours. Curvature measures exactly that gap; slope only says which way temperature tilts, which by itself moves no net energy into the point.
Why is the heat equation classified as parabolic and not hyperbolic?
Written as , the second-order part has (since , ). Zero discriminant is the parabolic case — diffusive, one real characteristic direction.
Why does a solution like decay rather than grow?
The mode has curvature , so its peaks are hills that cool and its troughs are valleys that warm — diffusion flattens it, and the math packages this into the shrinking factor .
Edge cases
What is everywhere if the initial temperature is uniform (constant) along the whole rod?
Both and , so : a uniform rod is already in equilibrium and stays there (with no source).
What happens to the flux at a smooth interior peak of the temperature profile?
At the peak , so at that single point — but is nonzero on either side, flowing away from the peak, which is why the peak still cools.
If (a perfect insulator, ), what does the equation say?
everywhere: with no conductivity, no heat moves, so the temperature is frozen at its initial profile forever, however lumpy.
For the very first instant of a sharp square-wave initial temperature, is the corner point's behaviour well-defined?
No — a corner has undefined (infinite) curvature , so isn't finite there at . The equation instantly smooths the corner; for any the profile is smooth and everything is well-defined.
At an insulated boundary (no heat crosses), what condition does Fourier's law force on the profile?
Zero flux means , so at that end — the temperature profile meets an insulated wall with zero slope (flat against the wall).
If the source is negative (a heat sink) on a flat profile, which way does temperature go?
, so : even a perfectly flat, otherwise-steady profile cools where energy is being drained out.
Connections
- Heat equation (parabolic) 1D — derivation from Fourier's law
- Fourier's Law of Conduction
- Conservation Laws and Continuity Equation
- Classification of PDEs (elliptic, parabolic, hyperbolic)
- Wave Equation (hyperbolic) 1D
- Laplace Equation (steady-state heat)
- Thermal Diffusivity and Material Properties
- Separation of Variables for the Heat Equation
- Fourier Series Solutions