Exercises — Heat equation (parabolic) 1D — derivation from Fourier's law

The figure above is the mental picture for the entire page: the horizontal axis is position (metres) along a rod of length m, the vertical axis is temperature (kelvin, K) at one frozen instant. At a hill the curvature is negative so (it cools, red arrow down); at a valley the curvature is positive so (it warms, mint arrow up); on a straight stretch the curvature is zero so nothing changes in time.
Level 1 — Recognition
Problem 1.1 (L1)
Which of these PDEs is the 1D heat equation? For each, say why or why not.
Recall Solution
(a) ✅ This is the heat equation: one time derivative , curvature , positive diffusivity . (b) ❌ Two time derivatives — this is the wave equation; it oscillates, does not smooth. (c) ❌ The backward heat equation. The minus sign makes curvature drive the wrong way (hills grow, valleys deepen) — it is wildly unstable and runs heat backward in time. (d) ❌ No time at all — this is the Laplace equation, the steady state.
Problem 1.2 (L1)
A rod has diffusivity . At a point the temperature graph is a bump with curvature . Is that point warming or cooling, and how fast?
Recall Solution
Apply . Since the point is cooling at K/s. A bump () always cools — its neighbours are colder, so heat leaks out.
Level 2 — Application
Problem 2.1 (L2)
Given with , find at .
Recall Solution
Step 1 — curvature. . (Why twice? Because the equation feeds on .) Step 2 — evaluate. At , , so . Step 3 — time rate. K/s. Cooling (on the rising flank of a bump).
Problem 2.2 (L2)
Verify that satisfies .
Recall Solution
Step 1 — time derivative. (chain rule on the exponential). Step 2 — space derivatives. Why differentiate in space twice? Because the equation compares against the curvature , and curvature is the second spatial derivative — so we must go two steps deep. First step: (derivative of is ; the is the chain-rule factor from the inner ). Second step: (derivative of is ). Each differentiation of the sine/cosine pulls out another factor of the wavenumber , which is why the constant grows to . Step 3 — compare. . ✅ The decay rate is exactly .
Problem 2.3 (L2)
A copper rod: W/m·K, kg/m³, J/kg·K. Compute (see Thermal Diffusivity and Material Properties).
Recall Solution
Copper conducts brilliantly yet stores lots of energy, so is moderate, not huge.
Level 3 — Analysis
Problem 3.1 (L3)
For the decaying mode , show the decay rate grows like . Which mode dies fastest: or ? By what factor?
Recall Solution
Step 1 — plug in. and , so ✅. What is ? Notice the whole solution is with the number sitting in the exponent. We call the decay rate because is a shrinking exponential: the larger , the faster the factor collapses toward zero. So literally measures "how quickly this mode dies." Step 2 — compare rates. . Conclusion: the mode decays 9 times faster. Why physically? Higher = tighter wiggles = sharper curvature ; sharper curvature drives faster smoothing. The heat equation erases fine detail first.
Problem 3.2 (L3)
The steady state satisfies . On with , and no source, find .
Recall Solution
Step 1 — steady means no time change. . Step 2 — integrate twice. (a straight line — the only curvature-free profile). Step 3 — fit ends. ; . Answer: . At , K.
Level 4 — Synthesis
Problem 4.1 (L4)
Rescale the equation. Starting from on a rod of length , introduce dimensionless variables , . Show the equation becomes (diffusivity vanishes).
Recall Solution
Step 1 — chain rule in time. . Step 2 — chain rule in space (twice). , so . Step 3 — substitute. . Cancel : . Meaning: every rod is the same rod once you measure time in units of (the natural diffusion time). This is why bigger objects take longer to equilibrate — a headline of Separation of Variables for the Heat Equation.
Problem 4.2 (L4)
Combine two known solutions. Show that solves , and evaluate at , .
Recall Solution
Step 1 — linearity. The heat equation is linear, so a sum of solutions is a solution; each term already satisfies it (rates and from Problem 3.1). Step 2 — check term one. For : ; and , so ✅. Step 3 — check term two explicitly. For , do not hand-wave — run the same two derivatives. Time: (the exponent drops out front). Space, twice: , then (each -derivative of pulls out a factor , so two of them give ). Multiply by : ✅. The rate is exactly the case of . Step 4 — evaluate at , . , : K. This superposition is exactly a two-term Fourier series.
Level 5 — Mastery
Problem 5.1 (L5)
Fundamental solution. Show that the Gaussian satisfies . This is the temperature from a point-burst of heat at the origin.
Recall Solution
Why this exact shape? A point-burst has no built-in length scale, so the profile can only spread by the natural diffusion width (from Problem 4.1, lengths scale as ). Two consequences are baked in: the width in the exponent must be , and the prefactor must be so that the total heat stays constant as the bump flattens and widens. We now verify it directly — no ansatz gymnastics, just the two derivatives the equation asks for. Step 1 — time derivative. Write with the constant . Differentiating the product ( gives ; the exponent has -derivative ): Step 2 — space derivatives. , and differentiating again (product of and ): Step 3 — multiply by . . ✅ Edge case . Watch the shape: the width , so the bump becomes infinitely narrow, while the prefactor , so it becomes infinitely tall — yet the area under it stays fixed at . This limiting object is the Dirac delta : "all the heat piled at a single point." So the Gaussian is the solution whose initial condition is a point-burst , and for any it is a smooth spread-out bump. This is why it is called the fundamental solution / heat kernel — the building block from which Fourier Series Solutions and general initial data are assembled.
Problem 5.2 (L5)
Energy never increases (stability). For a rod on with insulated ends ( at both ends), define . Show .
Recall Solution
Step 1 — differentiate the energy. (used the PDE). Step 2 — integrate by parts. . Step 3 — kill the boundary term. Insulated ends give at , so . Step 4 — conclude. , since and . Meaning: the "size" of the temperature profile can only shrink or hold steady — a rigorous face of diffusion smooths, never sharpens. This is the energy-method cousin of Conservation Laws and Continuity Equation.
Connections
- Parent: Heat equation derivation
- Fourier's Law of Conduction
- Conservation Laws and Continuity Equation
- Classification of PDEs (elliptic, parabolic, hyperbolic)
- Separation of Variables for the Heat Equation
- Fourier Series Solutions
- Wave Equation (hyperbolic) 1D
- Laplace Equation (steady-state heat)
- Thermal Diffusivity and Material Properties