4.7.2 · D4Partial Differential Equations

Exercises — Initial value problems (IVP) vs boundary value problems (BVP)

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Parent: IVP vs BVP.

Figure — Initial value problems (IVP) vs boundary value problems (BVP)

Every symbol used here is built in the parent note. Two reminders, so you never have to leave this page:


Level 1 — Recognition

You are only deciding IVP or BVP. The rule: are all conditions glued to one point, or spread across two different points?

Recall Solution 1.1

Both conditions sit at the same point (one is the value, one is the slope — both at ). IVP. Key idea: "initial" is about one location, not about the number .

Recall Solution 1.2

Conditions at two different points and . BVP (a two-point problem).

Recall Solution 1.3

One condition at , the other at — different points. BVP (a mixed one, since it uses a value at one end and a slope at the other, but still a BVP because the locations differ).


Level 2 — Application

Now solve clean problems all the way to a formula.

Recall Solution 2.1

General solution: .

  • .
  • , so .

Unique: Why unique? Both conditions at one point we read off directly; no matrix can be singular here.

Recall Solution 2.2

integrates twice to a straight line: .

  • .
  • .

Unique: Check via the determinant with : . Nonzero exactly one solution. ✔

Recall Solution 2.3

.

  • .
  • .

Unique: Here , so the endpoints are not a bad pair — one clean solution.


Level 3 — Analysis

Here the endpoints are chosen to make . Your job: decide no solution vs infinitely many, and say why.

Recall Solution 3.1

.

  • .
  • — this just repeats and says nothing about .

. Because the right-hand side is compatible, we get infinitely many solutions: Picture: look at the orange sine curves in the figure — all pass through both endpoints and .

Recall Solution 3.2
  • .
  • , but we demanded . So — impossible.

Same singular , but now the target is incompatible. No solution. Why: when , the second equation lives entirely inside the first's shadow; if the requested value doesn't land in that shadow, nothing satisfies both.

Recall Solution 3.3

Characteristic behaviour gives .

  • .
  • — automatically satisfied for any .

. Infinitely many: .


Level 4 — Synthesis

Now you build the singular condition yourself: find the special parameter values (eigenvalue-type behaviour) where nontrivial solutions appear. This is the doorway to Sturm-Liouville Theory.

Recall Solution 4.1

Write with , so .

  • .
  • . For we need

So and the eigenvalues are with eigenfunctions . Why ? gives , i.e. — the trivial solution we're excluding.

Recall Solution 4.2

From 4.1 with : allowed eigenvalues are .

  • allowed
  • allowed
  • : is ? That needs , not an integer — not allowed (only trivial solution).
  • : needs , not an integer — not allowed.

So the nontrivial ones are and .


Level 5 — Mastery

Mixed/derivative boundary conditions, and a full existence-and-uniqueness verdict.

Recall Solution 5.1

, so .

  • .
  • .

Both constants forced to only the trivial solution . That counts as a unique solution (the trivial one). No free constant survives, so here.

Recall Solution 5.2

Integrate twice: , then .

  • .
  • .

Unique: Check: ✔; ✔; , ✔. Because one condition is a value at and the other a slope at (different points), this is a BVP — but a well-posed one.

Recall Solution 5.3

.

  • .
  • . We need , i.e. consistent with the first condition.

: singular, but the target is compatible. Infinitely many solutions: for any . Contrast with 3.2: same singular matrix, but there the target () was incompatible none. Here agrees with both rows a whole family.


Recall One-glance summary

All conditions at one point? ::: IVP — solve by reading off ; always uniquely solvable (Wronskian ). Conditions at two points and ? ::: Unique BVP solution. with compatible data? ::: Infinitely many solutions. with incompatible data? ::: No solution. Where do the special come from? ::: The condition of the BVP — Sturm-Liouville Theory eigenvalues.

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