4.6.1 · D5Ordinary Differential Equations

Question bank — Classification — order, degree, linear vs nonlinear, autonomous vs non-autonomous

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Before we start, three vocabulary anchors so nothing here uses an unexplained word:


True or false — justify

The parent note's four questions look independent — these test whether you truly believe that.

A linear ODE can still be non-autonomous.
True. Linearity only inspects how enters; autonomy inspects the independent variable. is linear (y first power, alone) yet non-autonomous (explicit ). See Linear First-Order ODEs and Integrating Factors, which exists precisely to solve such linear non-autonomous first-order equations by multiplying through by a cleverly chosen factor.
A nonlinear ODE can be autonomous.
True. Autonomy forbids explicit (or ), not nonlinearity in . is autonomous and nonlinear (the hidden in breaks first-power).
The order of an ODE equals the number of arbitrary constants in its general solution.
True. Each integration to undo one derivative adds one constant, so an order- equation generally needs conditions — the basis for Existence and Uniqueness (Picard–Lindelöf).
Degree can never be larger than order.
False. They measure unrelated things: is order , degree . Order counts which derivative is deepest; degree counts the power on it.
Every autonomous ODE has at least one equilibrium.
False. has an equilibrium only where ; is autonomous but is never zero, so no equilibrium exists on the phase line (a horizontal line of -values with arrows showing which way moves).
If two functions each solve a linear homogeneous ODE, so does their sum.
True — this is the Superposition Principle: because is linear and , and give . The two pushes-of-nothing add to nothing.
"Homogeneous" and "linear" mean the same thing.
False. Homogeneous means the forcing term ; a linear ODE can be non-homogeneous, e.g. is linear but non-homogeneous ().
An equation with a in it must have undefined degree.
False. It depends on what is under the root. becomes polynomial after squaring (degree ); also cleans up (square to get , degree ). Only a genuinely non-polynomial dependence, like , kills degree.

Spot the error

Each line contains a plausible-but-wrong claim. Explain the flaw.

Claim: " is nonlinear because of the ."
Wrong. is a coefficient — a function of the independent variable — which linearity always permits. The forbidden case is (a nonlinear function of the unknown). This one is linear.
Claim: " has order 2 because of the square."
Wrong. The square is the degree (power ), not the order. The deepest derivative is , so the order is ; degree is .
Claim: " is non-autonomous because of the sine."
Wrong. The sine wraps , not the independent variable; no (or ) appears explicitly, so it is autonomous. (It is nonlinear, because breaks the no-nonlinear-function rule.)
Claim: " is linear — both and appear only to the first power."
Wrong. Rule 2 also forbids the unknown and its derivatives being multiplied together. The product makes it nonlinear even though each factor is first power.
Claim: " has degree 1 since appears once."
Wrong. is not a polynomial in and no clearing of denominators or radicals removes it, so the degree is undefined. (Order is still .)
Claim: " is autonomous because it looks simple."
Wrong. The independent variable appears explicitly as a factor on the right, so it is non-autonomous. Simplicity is irrelevant to the autonomy test.
Claim: "Since is autonomous, its arrows in the slope field must be flat lines."
Wrong. Autonomy means the rule is time-independent, so the slope pattern repeats along every horizontal () line — not that solutions are constant. This one oscillates (sine and cosine).
Claim: " can be made polynomial by taking logs, so its degree is 1."
Wrong. Taking a log doesn't clear the exponential into a polynomial in ; the dependence on is transcendental, so degree is undefined.
Claim: " has undefined degree because of the fraction."
Wrong. The rule says clear denominators containing a derivative: multiply through by to get , a polynomial in derivatives. Degree is (power of ); it is, however, nonlinear because of the product .

Why questions

These probe the reason behind each check, matching the parent's "WHY" emphasis. Two carry a step figure so the intuition is seen, not just told.

Why must we clear radicals and denominators before reading off the degree?
A radical or fraction hides the true power: shows no honest exponent. Squaring (and clearing any denominator) exposes the polynomial, so degree is read only from the cleaned form.
Why does linearity, not autonomy, decide whether superposition applies?
Superposition needs the machine to distribute over sums and scalars — — which is exactly linearity. Autonomy is about explicit- dependence and never touches this distributivity. Figure below.

Figure — Classification — order, degree, linear vs nonlinear, autonomous vs non-autonomous
Why does the order tell you how many initial conditions to supply? ::: Undoing each derivative by integration introduces one free constant; an order- equation hides constants, so you need conditions to pin down a unique solution. Why can autonomous equations be studied with a phase line while non-autonomous ones generally can't? ::: In an autonomous the slope depends only on , so the slope field's arrows are identical along every vertical column — you can collapse the whole picture onto one -axis (the phase line) and read the flow. With explicit the arrows change column by column, so a static 1-D picture no longer captures the motion — see Phase Line and Equilibria. Figure below.
Figure — Classification — order, degree, linear vs nonlinear, autonomous vs non-autonomous
Why is linearity called "the most important split"? ::: Linear ODEs obey superposition and have a complete solution theory (integrating factors, characteristic equations); nonlinear ones generally don't, so this single label most changes which tools are legal, e.g. Separable Equations vs Second-Order Linear ODEs with Constant Coefficients. Why don't ugly coefficients like or break linearity? ::: Linearity is a statement about the unknown : it must enter to first power, unmultiplied, unwrapped. Coefficients are the "landscape" the equation lives in and may be any function of the independent variable. Why are autonomous solutions "time-translates" of one another? ::: If the rule never mentions the independent variable, then shifting a solution to still satisfies the same rule, because the equation can't tell the clock was moved. So every horizontal shift of a solution is again a solution — visible as identical arrow-columns in the figure above.


Edge cases

Boundary and degenerate inputs the naive checker forgets.

Classify the "equation" .
Order , degree , linear (a linear equation with zero forcing, i.e. homogeneous ), and autonomous (no explicit independent variable). Its solutions are all constants — every value of is an equilibrium.
Is a purely algebraic equation like (no derivatives) an ODE at all?
No. With no derivative present there is no "highest derivative," so order is undefined and it isn't a differential equation — it's an algebraic relation.
What are the order and degree of ?
Cube both sides first to clear the fractional power: . Now order , degree . The exponent was a disguise, not a genuine cube-root of a derivative.
Is linear even though looks like a power?
Yes. is a constant, not the unknown; is just a number multiplying . Only powers of or its derivatives threaten linearity.
Classify : linear and autonomous, or something else?
Linear and non-homogeneous () but non-autonomous, because makes the independent variable appear explicitly. Linear and autonomous are separate axes.
A "degree undefined" equation — can it still have a well-defined order?
Yes. has undefined degree yet its deepest derivative is clearly , so order is . Order survives even when degree collapses.
Can an equation be simultaneously nonlinear, non-autonomous, and of degree greater than one?
Yes — all four labels are independent. is order , degree , nonlinear (higher powers of derivatives), and non-autonomous (explicit ).
Recall One-line self-test before you leave

Cover the answers and re-derive: for — order? degree? linear? autonomous? homogeneous? ::: Order , degree (the appears to first power), nonlinear (product ), non-autonomous (explicit in ), and non-homogeneous ().