For arbitrary real , work first on an interval where . Define exponentiation by , using the real logarithm. The change of variable is differentiable and invertible there, and the chain rule givesMultiplying the Bernoulli differential equation by yields the first-order linear differential equationThis is an exact transformation of nonzero solutions of a differential equation on the chosen branch; it is valid far from any reference state and does not discard higher powers as a local linearization would.
Given the initial condition , the integrating factor and transformed solution of a differential equation areThe product rule verifies . Recover only on the connected component of containing , inside the original coefficient interval. The first-order linear differential equation can have a longer existence interval than this inverse transformation allows.[ref]
1.4 Linear equations and the integrating factor. Notes on Diffy Qs, §1.4 Linear equations and the integrating factor: product derivative, formula (1.4), and Remark 1.4.1 on existence throughout a coefficient-continuity interval
Negative values need a separately justified real branch. For integer , the required powers are real and differentiable for too, but the inverse must retain the sign selected by the initial condition. For , represents either or ; both square roots are taken of positive . For , retains the sign directly. For a general noninteger exponent, use the positive branch unless a specific differentiable real negative branch has been established. Never evaluate a real fractional power of a negative value merely because the linear formula has become negative.
Division by excludes . When and the original real power is defined at zero, is an additional solution of a differential equation and must be checked in the original equation. When , the equation as written is undefined at zero. On a positive branch the right-hand side is locally Lipschitz in , so the Picard-Lindelöf theorem gives local uniqueness. At zero, the same hypothesis needs a fresh check: it holds for the polynomial example, whereas for a nonzero power coefficient prevents local Lipschitz continuity there. If , the inverse sends for , but sends for . The latter endpoint can lead to finite-time extinction in a sublinear Bernoulli equation, where the original equation determines how to join to zero.
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