On a chart with , set
The chain rule verifies both components:
A coordinate-independent description of the local potential is a continuous branch of , the complex argument of the scaled coordinates. Such branches can also cover points where , using a different angular chart. Continuing once around the missing origin changes that angle by a nonzero multiple of , so there is no global single-valued on the full stated domain.
The original differential equation is defined only where and . Put , so the chain rule gives . Multiplying the equation by yields a first-order linear ordinary differential equation:
An integrating factor on either half-line is , up to an irrelevant nonzero constant. Equivalently, apply the quotient rule directly:
Integrating gives . Thus the real general solution is
on any connected interval where and . These restrictions preserve both the original denominator and differentiability of the real cube root. In particular includes on either half-line; this solution has not been lost through division by an expression involving .
For verification, differentiating gives , while . The two sides agree wherever the original equation is defined.
Differentiate each coordinate with respect to the parameter and use the chain rule:
Both coordinates are defined where and . As a check, there, so the same derivative is .
Parametrize the path by , from to . For the conservative vector field , the chain rule gives
Integrating proves the fundamental theorem for line integrals:
Only the endpoints matter, so the integral is independent of the connecting path.
For real coordinates, work on . The chain rule gives and . Therefore
The derivatives on the right are with respect to . Behaviour at requires separate regularity of the composed function.
The same chain rule gives and . Substituting these and part (a) into the partial differential equation gives
Thus every twice-differentiable profile gives a solution on .
Differentiate the cumulative distribution function using the chain rule:
This is a Cauchy distribution with location zero and scale . The probability density function is nonnegative and integrates to .
Apply the multivariable chain rule to . Using the coordinate partial derivatives above gives
Equivalently, and . Their coefficients vary with position and must also be differentiated when applying them twice.
Write and . The needed coefficient derivatives are , , and . Apply the product rule to both terms of and use the chain rule for the derivatives of . Collecting terms gives
Similarly, differentiating gives
On addition, both the mixed partial derivative terms and the first angular derivative terms cancel. Using , the Laplacian in polar coordinates is
The chain rule for the new coordinates gives and . Since the coordinates depend linearly on , their coefficients are constant. Expanding the squares of these differential operators gives
Hence the partial differential equation becomes . Integrating once in each variable introduces independent one-variable functions, giving the general solution
where are arbitrary twice-differentiable functions on the relevant characteristic intervals. Their sum includes an arbitrary additive constant.
To distinguish the one-variable profile from the resulting two-variable function, write with . The chain rule gives and , so . Thus any differentiable profile of solves the partial differential equation.
The initial condition selects on the positive half-line. Hence
This satisfies both the partial differential equation and the given data at .
For , the partial derivatives of radius are , and . Applying the chain rule to the outer sine and then the radial profile gives the Cartesian coordinates of the gradient:
At the origin these coordinate formulas require a differentiable radial extension; differentiability of as a one-variable profile alone does not guarantee it.
Take the total differential of the logarithm of the relativistic energy, with the speed of light fixed:
Using the chain rule,
Every term is a dimensionless fractional change. The differential relation is exact; applying it to finite small changes is a first-order Taylor expansion.
Work on an open domain with and , where the displayed square root is real and differentiable. Split with and . For the first term, the chain rule gives
so .
For the second term, set . Its first partial derivatives are
They show , the degree-one case of Euler theorem for homogeneous functions. Differentiating that identity with respect to each variable yields
The mixed partial derivatives agree here by the chain rule. Multiplying these equations by and , respectively, proves the second derivative identity for a degree-one homogeneous function:
Adding the results for and verifies the partial differential equation
Equivalently, for positive , so the same proof follows directly from its homogeneous function property. The statement is local to a domain where the given expression is defined; it does not require assigning values on .
At a point of tangency, the derivative of the curve equals the slope one of the straight line. The chain rule gives . Since , the unique solution is . The corresponding height is . Substitution in the tangent line gives
A suitable real antiderivative on the disconnected domain is
For , directly; for , and the chain rule again gives . The graph is even, crosses zero at , tends to on either side of zero, and tends to as . Independent additive constants may be chosen on the two disconnected half-lines; both are set to zero here.
Figure 1.
Real antiderivative branches for and , with their domains and limiting behavior
. Details.
Let . The chain rule gives , so the two given summands combine into its logarithmic derivative, . For , , so the real logarithm is defined throughout the integration path. Since ,
This satisfies , and differentiation recovers both terms of the integrand.
Apply the chain rule twice: once to the square and once to the argument of the sine. The inner derivative is . Therefore
The original PDF has , rather than the cube of .