4.6.1 · D4Ordinary Differential Equations

Exercises — Classification — order, degree, linear vs nonlinear, autonomous vs non-autonomous

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Reminders of the exact tests (so you never guess):


Level 1 — Recognition

L1.1

State the order of each: (a) (b) (c) .

Recall Solution L1.1

WHAT we look for: the highest derivative, ignoring any power on it.

  • (a) highest is order 1.
  • (b) highest is order 2.
  • (c) highest is ; the exponent is a degree clue, not an order clue → order 4.

L1.2

State the degree of each: (a) (b) (c) .

Recall Solution L1.2

WHAT we look for: every equation is already a polynomial in its derivatives, so read the power on the highest derivative.

  • (a) highest , power degree 1.
  • (b) highest , power degree 2 (the term's power is irrelevant).
  • (c) highest derivative is , raised to power degree 3 (order is only 1!).

Level 2 — Application

L2.1

Classify linear vs nonlinear and give a one-word reason: (a) (b) (c) (d) (e) .

Recall Solution L2.1

Apply the three linearity rules to how enters (coefficients in are always allowed).

  • (a) first power, coefficient is fine → linear.
  • (b) → power on breaks rule 1 → nonlinear.
  • (c) → two unknowns multiplied breaks rule 2 → nonlinear.
  • (d) is a coefficient in the independent variable, is first power → linear.
  • (e) puts inside a nonlinear function, breaks rule 3 → nonlinear.

L2.2

Classify autonomous vs non-autonomous: (a) (b) (c) (d) .

Recall Solution L2.2

Test: does the independent variable () show up explicitly?

  • (a) RHS is a function of only → autonomous (logistic — see Phase Line and Equilibria).
  • (b) contains explicitly → non-autonomous.
  • (c) no anywhere → autonomous.
  • (d) forcing contains non-autonomous.

Level 3 — Analysis

L3.1

For , give order and degree, showing the cleanup.

Recall Solution L3.1

WHY square first: the radical hides a power on the derivatives; you cannot read an honest exponent while a is present. Square both sides: Now it is a polynomial in . Highest derivative has power . Order 2, degree 2. (Note: order was 2 before squaring too — squaring never changes the order.)

L3.2

For , give order and degree with justification.

Recall Solution L3.2

Highest derivative is order 2. Degree: is transcendental in the derivative ; no algebra turns the equation into a polynomial in . Therefore degree is undefined. (Contrast L3.1, where a radical could be removed by squaring — a genuine transcendental function of a derivative cannot.)

L3.3

The graph below is the slope field of an autonomous equation and of a non-autonomous one. Which is which, and why?

Figure — Classification — order, degree, linear vs nonlinear, autonomous vs non-autonomous
Recall Solution L3.3

What to look at: slide your eye horizontally (fixed , changing ).

  • Left panel: along every horizontal line the arrows have identical slope — the field is invariant under time-shift. This is the signature of an autonomous equation : the rule ignores the clock, so a solution slid sideways is still a solution.
  • Right panel: arrows change as increases at fixed (they tilt with the wave). The rule peeks at the clock → non-autonomous .

Level 4 — Synthesis

L4.1

Give all four labels for

Recall Solution L4.1
  • Order: highest derivative 3.
  • Degree: already polynomial in derivatives; power on is 2 (the is not the highest derivative).
  • Linear? and are powers nonlinear.
  • Autonomous? coefficient and forcing are explicit in the independent variable → non-autonomous.

L4.2

Build (or state impossible) an ODE that is simultaneously linear, non-autonomous, order 2, degree 1. Then one that is nonlinear yet autonomous.

Recall Solution L4.2

Linear + non-autonomous + order 2 + degree 1: enter to first power (linear, degree 1), highest derivative (order 2), and makes it non-autonomous. Valid — linearity and autonomy are independent axes (compare Second-Order Linear ODEs with Constant Coefficients).

Nonlinear + autonomous: No (autonomous) but term makes it nonlinear. The logistic equation is the classic witness.


Level 5 — Mastery

L5.1

Classify fully and explain why superposition may or may not apply: (a) (b) (pendulum).

Recall Solution L5.1

(a) Order 2, degree 1, linear, autonomous. Because it is linear and homogeneous, if solve it so does — the Superposition Principle applies. This is exactly why the solution space is spanned by two basis functions.

(b) Order 2, degree — is transcendental in (not in a derivative, so order is fine, but the equation is not polynomial in ; degree is a property of derivatives, so we say degree 1 in if we treat as a coefficient-free term — conventionally the equation is nonlinear, degree 1 in the highest derivative ). Nonlinear, autonomous. Superposition fails: , so a sum of solutions is not a solution. This is why the large-swing pendulum has no simple closed form.

L5.2

For each, decide whether the Existence–Uniqueness machinery you would reach for treats it as an initial-value problem, and state the order = number of required initial conditions: (a) (b) .

Recall Solution L5.2

The number of arbitrary constants in the general solution equals the order, which equals the number of initial conditions needed for a unique solution (see Picard–Lindelöf).

  • (a) order 1 → one initial condition . It's autonomous, nonlinear (). Solving by Separable Equations gives , valid only for (finite-time blow-up).
  • (b) order 3 → three initial conditions, as supplied. Linear, autonomous; here all-zero data forces .

L5.3

Verify the solution claim in L5.2(a): show solves with , and give its maximal interval.

Recall Solution L5.3

Check the ODE: , so Check the datum: Maximal interval: the formula explodes at ; starting from the solution lives on . This blow-up in finite time is a hallmark of nonlinear growth — a linear equation can never do it.


Recall One-line self-test

Which two of the four classifications are completely independent axes? ::: Linearity and autonomy — an equation can be any of the four combinations (linear/nonlinear × autonomous/non-autonomous).