Collecting the shifted terms gives a second-order difference equation with coefficients , and . Substitute to obtain its characteristic equation of a linear recurrence:
For real , the roots and general solution are
In the small-step regime, indeed for , the polynomial is positive at , negative at and positive for sufficiently large positive . Thus . The bounded solution of a second-order constant-coefficient recurrence discards the growing root, and fixes its remaining coefficient:
The Taylor series establishes the displayed approximation to the root. Raising that approximation to the th power is a leading approximation, rather than a uniform relative approximation for arbitrarily large : its relative error is controlled when is small. For completeness, the degenerate values give when , and when .
For a constant matrix, the matrix exponential series and its differentiated series converge uniformly on bounded time intervals, as follows by comparison with the scalar exponential in a operator norm. Termwise derivatives therefore give
Hence solves the initial value problem. For this particular matrix, direct multiplication gives . Splitting the matrix exponential into its even and odd powers proves
This is the matrix exponential when the square is minus the identity. If , the general solution is
The constants in part (a) are and , which makes the two forms identical.
Substituting the proposed form into the linear system of ordinary differential equations gives
If is not an eigenvalue of , the matrix is invertible, so
provides the required particular solution.
In the stated two-dimensional case,
and therefore . The eigenvalues of are , with corresponding eigenvectors and . Adding the general solution of the homogeneous system yields
For the given matrix , the characteristic polynomial is
For , the eigenvector equation gives ; for , it gives . Thus the eigenvalues and their corresponding eigenspaces are
For any eigenvector with eigenvalue , the vector-valued function satisfies , since its derivative is . The two displayed eigenvectors are linearly independent, so the general solution of the linear system of ordinary differential equations is
The function solves the linear ordinary differential equation. Apply reduction of order by writing . Substituting and and cancelling the terms in gives
For , this becomes a first-order linear ordinary differential equation:
A partial fraction decomposition provides the required antiderivative:
Therefore
The logarithm has positive argument on the required interval. The Wronskian of and is , proving their linear independence and hence completeness of this general solution.
Using the first partial derivatives from part (b),
Also . Therefore the first partial differential equation becomes
For the second partial differential equation, the same chain rule gives
Away from the origin, cancellation yields . Treating as fixed, an integrating factor gives . Thus
where is an arbitrary sufficiently differentiable function. This is the local general solution, and the global form when is defined on the whole plane. If and its first partial derivatives are continuous at the origin, the reduced partial differential equation also holds there by continuity.
For , the derivatives are and , and substitution gives .
Use reduction of order: set , so and . Substitution and cancellation give
Since , this reduces to , hence and . The general solution is
The two solutions are linearly independent, since their ratio is nonconstant; equivalently, their Wronskian is .
The homogeneous linear differential equation has general solution . For a particular solution, use variation of parameters with , and Wronskian one:
The double-angle formulas and integration by parts give
Substitution simplifies to . Absorb the last term into the homogeneous linear differential equation solution. Therefore
Indeed, applying to gives , and applying it to gives ; their difference divided by four is the required .
For , the first and second derivatives are one and zero, giving . To find an independent solution, use reduction of order and write . Cancellation of the terms proportional to leaves
Writing and using separation of variables gives
Since , integration yields the general solution
The second factor divided by has nonzero derivative , so the two solutions are linearly independent.
The product rule gives and . On an interval avoiding , substitution and division by give
For a constant-coefficient differential equation, the coefficient of forces . At , the remaining coefficient also vanishes. Thus
The characteristic equation of a constant-coefficient differential equation is , with complex conjugate roots of a polynomial . Its real solutions and are linearly independent. Therefore the general solution is
The constants can be chosen independently on the two sides of the singular point. The power substitution reducing a differential equation to constant coefficients here is invertible wherever .
For the homogeneous linear recurrence relation, try . Its characteristic equation of a linear recurrence is
The distinct roots of a polynomial give the complementary terms . A constant cannot absorb the forcing because is already a root of a polynomial of the characteristic equation; try a particular solution . Substitution gives , hence . The general solution is .
The initial conditions give and . Hence , , and
Set . Each coordinate satisfies the harmonic oscillator equation, so the general solution is
The four initial data give , , and . Thus
This is the position component of the isotropic harmonic oscillator flow. Substitution also gives the constant energy .
Using the sine addition formula, combine the surviving modes:
It has amplitude and a phase delay . The full general solution would add , but this exponential is periodic only for , so the displayed periodic solution is unique.
Let and . Their cross partial derivatives agree: . More directly, construct the scalar function
This exhibits the expression as an exact differential. Along a solution of the differential equation,
Thus the general solution is
For , the graph also extends smoothly through and satisfies the original, undivided equation there. Nonzero cannot extend through zero as a finite-valued differentiable solution. The extra vertical component of the implicit zero-level equation is not a graph on an interval and is not an additional solution of this ordinary differential equation.
The integrating factor is , giving . The required antiderivative is
After dividing by , the general solution is the oscillatory term plus . The initial condition fixes , so
The real, nonzero parameters ensure ; direct substitution verifies both the equation and .
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.
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.
Multiply the separable differential equation by : . The left side is , hence . Therefore
The real general solution is taken on any connected interval where the logarithm's argument is positive.
The common homogeneous solution is . For forcing , a trial gives , so the first general solution is
For forcing , the frequency produces resonance in a differential equation. A trial gives , so and the second solution is
The superposition principle permits adding the two particular solutions. The sum-forcing equation therefore has
Only one pair of homogeneous constants is needed, because the two original homogeneous families coincide.