For , integration by parts gives
The boundary term vanishes, so the Gamma function recurrence is
For this two-dimensional Ornstein-Uhlenbeck process, the covariance matrix
satisfies
Thus the stationary covariance solves the continuous Lyapunov equation
Write
Substitution gives
Solving,
Therefore
The drift is the linear vector field
The eigenvalues of its matrix are , so the origin is a stable spiral. The field rotates clockwise while contracting toward the origin:
For drift and constant diffusion matrix , the Fokker-Planck equation is
Here
so
At a current value , put
and define the working response
Then the displayed formulas in the question can be written compactly as
and
Indeed, the th component of the latter is
which is precisely the stated score.
Substitution into the Fisher-scoring update gives
By part (b), this is the weighted least squares fit of the working response on . Both and are recomputed from the current fitted means after every update. Fisher scoring for a generalized linear model is therefore the iteratively reweighted least squares algorithm.
The weighted least squares objective is
Its gradient is
Since is positive diagonal and has full column rank, is positive definite. The unique stationary point is therefore the unique minimizer:
For log-likelihood , the score function and Fisher information matrix are
The Fisher scoring iteration replaces the observed Hessian in Newton's method by its expectation:
Put
The Rayleigh quotient shift is exactly
Expanding the denominator gives
The question prints this as , so its sign convention requires
unless every vanishes. Equivalently, is the positive quadratic Rayleigh-quotient error.
The shifted inverse solve has the spectral decomposition
Only relative coefficients matter after normalization, so factor out :
From the shift expansion,
whereas, for ,
Consequently
After the final normalization,
Thus an eigenvector-direction error becomes in one step, proving the Local cubic convergence of Rayleigh quotient iteration for this symmetric matrix.
For a fixed shift that is not an eigenvalue, inverse iteration is the power method applied to . Before normalization, the th vector is proportional to
If , factor out the first coefficient:
Every ratio in parentheses lies strictly between zero and one. The bracket therefore tends to , and normalization in the Euclidean norm gives
This proves the stated convergence to or and exhibits the convergence of fixed-shift inverse iteration rate.
Now suppose . The closest eigenvalue to is one of and .
  • If , the direction approaches , but , so consecutive iterates alternate signs.
  • If , the iterates approach one fixed sign of because .
  • At the midpoint, the two dominant inverse eigenvalues have equal modulus and opposite signs. Generic iterates alternate between the two normalized combinations proportional to and .
Finally, if , the closest eigenvalue is and its inverse eigenvalue is negative. Thus the direction approaches the line spanned by , while normalized vectors alternate between the two signs. These cases are the sign behavior of fixed-shift inverse iteration.
Write the density and pressure as and , and let be the small fluid velocity. The linear homentropic acoustic equations are
where the adiabatic sound speed is
If the flow is irrotational, write . The momentum equation integrates spatially to
a purely time-dependent integration term having been absorbed into . Substitution into continuity gives the wave equation
so the wave speed is .
To obtain energy conservation, dot the momentum equation with and use the product rule:
The continuity and pressure-density relations give
Therefore the acoustic energy conservation law is
with acoustic energy density and intensity
In Shannon-Fano coding, a symbol of probability is assigned length
and codewords of those lengths are chosen in lexicographic probability intervals; the Kraft inequality guarantees that a binary prefix code exists. Huffman coding repeatedly merges the two least probable current symbols, builds a binary tree from the resulting merges, and labels its two branches by zero and one. Reading from the root to each leaf gives an optimal prefix code.
At an interior stagnation point, . The first equation is
Since inside the fluid, . Also
On the preceding locus the bracket is nonzero, so . Therefore
For , in the interior, and its nested nonzero level curves are closed recirculating streamlines around this unique stagnation point.
With , the stated biharmonic stream function for planar Stokes flow is
Requiring it to vanish at and gives
Thus and . Writing yields
Using and , differentiation shows that equals on the inner boundary and on the outer boundary. Both wall conditions hold precisely when
This is the Stokes flow between touching counter-rotating cylinders.
The outer circle obeys , and hence
Its counterclockwise tangent is again . Its angular velocity is and radius is , so its signed tangential speed is . The boundary conditions are
The first follows both from impermeability and from the common streamfunction value forced by the contact point.

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