Visual walkthrough — Bernoulli equations — substitution
What this page is: we take the Bernoulli trick from the parent note and rebuild it one picture at a time, from absolute zero. By the last step you will see why renaming a chunk of turns a bumpy nonlinear equation into a smooth linear one you already know how to crack.
We assume only that you can read as "how fast changes as moves". Everything else we build.
Step 1 — What we are staring at
WHAT. We meet a first-order differential equation shaped like this:
Every symbol earned:
- — the rate at which the unknown curve rises or falls.
- and — functions that depend only on (never on ). They are "known knobs".
- — the unknown raised to some fixed power (could be , , , ...).
WHY it matters. If the right side were just (no ), this would be a linear equation — the friendly kind we solve with an integrating factor. The lone is the only thing standing in our way.
PICTURE. On the left, the linear world: appears to the first power, a straight "ramp". On the right, the term bends that ramp into a curve — the source of all the trouble.

Step 2 — Why and are boring (and excluded)
WHAT. Before doing anything clever, ask: are there values of where there is no trouble at all?
- If : , so the equation is already . Already linear.
- If : the right side is , and moving it left gives . Already linear.
WHY. No substitution is needed when the equation is already the friendly kind. That is why the definition says . (Foreshadow: our trick will divide by a factor ; at that factor is , so the trick would literally divide by zero — the algebra itself refuses.)
PICTURE. A number line of . The two dots and are marked "already easy — skip". Everything else is "Bernoulli territory".

Step 3 — Expose the hidden power: divide by
WHAT. Divide every term by (assume for now ):
Term-by-term, what division did:
- — the slope now carries a factor .
- — the linear term becomes a single power .
- — the troublemaker is gone! It became a plain .
WHY this exact move. We wanted two things: (1) kill the ugly on the right, and (2) leave behind exactly one new power, , plus a chunk. As Step 4 shows, that chunk is precisely what a chain rule can swallow.
PICTURE. Think of dividing as "shifting every exponent down by ". The right-side slides down to ; the linear slides to ; the slope's hidden slides to .

Step 4 — Rename the clean power: let
WHAT. Define a brand-new variable:
WHY this specific name. Two matching leftovers appear in Step 3: the power and the chunk . We hope they are two faces of one object — namely and its derivative . Step 5 confirms it. Choosing is not luck: it is engineered so that differentiating it regurgitates a factor.
PICTURE. A "relabel" box: the messy expression walks in, a single tidy letter walks out. Same object, cleaner name.

Step 5 — The engine: differentiate with the chain rule
WHAT. Differentiate with respect to . Because itself depends on , we use the chain rule (bring the power down, subtract one, multiply by the inside's derivative):
WHY the chain rule and nothing else. We are differentiating "a power of a function", . That is the textbook trigger for the chain rule: outer operation = "raise to the power ", inner function = . No product rule (nothing is multiplied), no quotient rule (nothing is divided) — the chain rule is the exact right tool.
Now rearrange to isolate the chunk we saw in Step 3:
Read it right-to-left: the awkward equals a plain scaled by . This is the whole trick in one line.
PICTURE. The chain rule as a two-gear machine: turning the outer "power" gear and the inner "" gear together produces the output.

Step 6 — Substitute and watch it collapse into a line
WHAT. Take Step 3 and replace its two matching pieces using Step 5:
Multiply through by to clear the fraction:
Term-by-term, what changed:
- The unknown is now , appearing only to the first power — this is linear in .
- The factor from the chain rule sticks to both and . This is the single most-forgotten detail: it is easy to write and lose the , because the substitution tempts you into expecting a clean copy of the original. Always carry the onto both sides.
WHY this is a victory. We have converted an unfamiliar nonlinear equation into the exact shape the integrating-factor method eats for breakfast.
PICTURE. The bumpy curve (Step 1) morphs into a straight ramp in — the nonlinearity has been "renamed away".

Step 7 — Solve the line, then translate back
WHAT. Solve the linear equation with the integrating factor
which makes the left side a perfect derivative . Integrate once, then back-substitute to recover .
WHY . Multiplying by is the standard move that packages into , so a single integration finishes the job. (Full derivation lives in Linear First-Order ODEs — Integrating Factor.)
Concrete run (parent's Example 1): has , so and :
PICTURE. Solution curves for several , showing the family the method produces.

Step 8 — The edge case: don't lose
WHAT. Back in Step 3 we divided by and quietly assumed .
WHY it's dangerous. If , the constant function makes both sides of the original equation zero — it is a solution. But dividing by erased it, because you cannot divide by zero. It never reappears through .
Fix. After solving, add back by hand whenever . It is a singular solution — not part of the -family, but genuine. (And recall Step 3's stricter warning: if is a non-integer, we already restricted to , so sits on the boundary of the allowed domain rather than inside it.)
PICTURE. The -family of curves plus the flat red line hovering separately, labelled "lost in the division, restored by hand".

The one-picture summary
Everything above, compressed into a single pipeline: nonlinear → divide by → rename → chain rule feeds the engine → linear ODE in → integrating factor → back-substitute → (plus the singular when ).

Recall Feynman retelling — the whole walkthrough in plain words
We started with an equation that was almost the easy kind, except one piece had raised to a weird power . That power is the only villain. First we divided everything by ; this made the villain on the right vanish into a plain "", and it left behind exactly two matching crumbs: a lonely power and a slope-chunk . (If that power is a fraction, we quietly agree to stay on one side of zero — say — so and friends make sense.) Then we gave the lonely power a nickname, . When we differentiated that nickname using the chain rule, out popped the slope-chunk (times a constant ) — proving the two crumbs were really and in disguise. Swapping them in, the whole equation flattened into a straight, linear equation in , which we solve with the integrating-factor trick we already know. Solve for , translate the nickname back to , and — if the power was positive — remember to hand back the flat solution that the division had swallowed. Done.
Connections
- Bernoulli equations — substitution (the parent — full worked examples live there)
- Linear First-Order ODEs — Integrating Factor (the engine Step 7 hands off to)
- Separable Equations (what remains when or vanishes)
- Exact Equations and Integrating Factors
- Substitution Methods in ODEs (same "rename to simplify" spirit)
- Riccati Equations (one step up in nonlinearity — reduces to Bernoulli)