Let denote a green pear on the first draw and a red apple on the second. The two categories are disjoint, so after there are still three red apples among seventeen remaining fruits. Thus . Using from (c), conditional probability gives
Equivalently, conditioning on the second fruit being one particular category removes a red apple and leaves the other seventeen fruits symmetrically eligible for the first position.
Condition on whether the first selection was a red apple. Its probability is . If it was, two red apples remain among seventeen fruits; otherwise three remain. The law of total probability gives
The same result follows from exchangeability: before either selection is observed, each ordered draw position has the original red-apple fraction , despite dependence between the draws.
Insert the values from (a) into Bayes' theorem:
Thus the identity is satisfied. Equivalently, both and equal the joint probability .
There are eighteen equally likely first choices. Counting the relevant subsets gives
For conditional probabilities, restrict the denominator to the conditioning subset:
The five counts come from the same finite sample space, so no independence assumption is involved.
Factor . This gives
The last function is even. Its Taylor series begins , since and . Therefore
In particular, the cubic coefficient is zero; the identity explains its cancellation before any lengthy differentiation.
The required derivatives are , , , and . The four-term Taylor polynomial about one, evaluated at two, is
The Taylor remainder is for some . Thus
Its negative sign also shows that this approximation is an overestimate. Bounding the fourth derivative throughout the interval establishes the requested error estimate without using a decimal value of .
A cubic version of Taylor's theorem requires the corresponding higher differentiability, rather than only one derivative. For example, if has four continuous derivatives on the interval between and , then
where the Lagrange form of the Taylor remainder is
for some strictly between and when they differ. At , the remainder is zero. These hypotheses apply to both functions used below.
With , integrate the coefficient with respect to :
Its other partial derivative is . Matching the coefficient gives . Therefore the differential equation is , and its implicit general solution is
These are level curves of the potential of a conservative vector field. Where , they give the usual graph solution . At , the implicit description retains possible vertical tangents instead of dividing by zero.
Write the differential one-form as . An exact differential form must satisfy equality of mixed partial derivatives, . Here
Equality at every holds precisely when . Since these polynomials are smooth on the simply connected plane, the closed-form condition is also sufficient for exactness; the explicit potential of a conservative vector field constructed in (c) verifies that sufficiency directly.
The multivariable chain rule gives
Substituting the three parametrizing functions also writes the complete derivative as
At , the point is , its velocity is , and . Hence
The condition at infinity gives . Matching the electric potential at gives
Consequently
This function is finite and differentiable at the origin. At the joining radius, both and match, giving and . Thus the electric field is continuous there as well as being conservative on each side. This is the potential of a uniform spherical source, with source coefficient .
Figure 1.
Continuous radial potential and inward electric field, normalized at the sphere boundary
. Details.
For a radial electric potential, . Comparing radial coefficients gives
Integrating these one-variable derivatives gives the general local expressions
The two constants are initially independent because these integrations were performed in separate radial regions.
Inside the sphere, the electric field has the form , including at the origin. Thus it is a conservative vector field. Outside, use the gradient of a radial function to obtain
This is also an explicit potential of a conservative vector field, single-valued throughout the exterior region. Equivalently, the curl vanishes in both regions: for a radial coefficient , because is radial. The interior formula avoids any apparent issue at the origin. The vector-field potentials here have the opposite sign from the electric potential convention used in (b).
The characteristic equation factors as , giving . The superposition principle lets us find particular solutions for the two forcing terms separately. A trial gives and , so it is . A trial gives , so . Therefore
The characteristic equation has the repeated root . Its homogeneous solution is therefore . For a particular solution, try . Substitution gives , so and . Thus the general solution is
The extra factor in the second homogeneous term is required by the repeated root.
The characteristic equation is , giving . The initial conditions give and . Solving yields , , hence
The two distinct characteristic roots supply all solutions of this second-order linear ordinary differential equation.

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