A linear operator on a real inner-product space is self-adjoint when
for all .
To prove the finite-dimensional spectral theorem, first note that the continuous quadratic function has a maximum on the unit sphere. The Lagrange multiplier equation at a maximizing vector gives , so has a real unit eigenvector. Its orthogonal complement is invariant because
Induction on the dimension supplies an orthonormal eigenbasis of that complement and hence of .
For ,
while symmetry and bilinearity are immediate, so the displayed formula defines an inner product on . Since
integration by parts gives
The boundary term vanishes for polynomials, proving that is self-adjoint.
On the monomial ,
Thus the matrix of in the monomial basis is triangular with diagonal
These are therefore its eigenvalues. For , corresponding eigenvectors are
for eigenvalues , respectively. They are the first Laguerre polynomials up to normalization, as described by the Laguerre differential operator on polynomials.
A velocity potential satisfying uniform flow at infinity and no radial flow through is
Therefore
On the cylinder, and . The steady Bernoulli equation, compared with the uniform flow at infinity, gives
Hence
the pressure in potential flow around a circular cylinder.
Away from , the Green function solves . The solution satisfying the left boundary condition is proportional to , while the solution decaying at infinity is proportional to . Continuity at and the unit derivative jump
give
or , the dirichlet half-line Green function for d2 minus 1.
The required solution is
Evaluation of the two elementary integrals, split at , gives
Indeed, direct differentiation gives , and both boundary conditions are immediate.
A function on a convex set is convex when
for all and .
If is once differentiable, this is equivalent to monotonicity of its gradient:
Equivalently, every tangent hyperplane supports the graph:
If is twice differentiable, convexity is equivalent to the Hessian matrix being positive semidefinite throughout .
For
the Hessian is
A real symmetric two-by-two matrix is positive semidefinite exactly when its two diagonal entries and its determinant are nonnegative. Thus
The largest convexity domain is therefore
For , its boundary is the hyperbola in the first quadrant and the domain lies above it. For , it is the closed first quadrant. This is the convexity domain of x cubed plus y cubed plus Axy.
In the Poincare half-plane model, the Riemannian metric
assigns to a smooth curve the length
The metric is conformal to the Euclidean metric, so hyperbolic and Euclidean angles agree. Its area element is
The two geodesics from and to infinity are the vertical lines and , while the third side is the unit semicircle. The triangle lies above that semicircle, so its area is
Its interior angles are , , and zero at the ideal vertex, and hence
Triangulating a geodesic polygon with sides into triangles gives
the area of a hyperbolic geodesic polygon and the polygonal Gauss-Bonnet theorem.
For
define its action on the projective line by the Möbius transformation
with the usual conventions when the denominator vanishes or . Matrix multiplication agrees with composition, so this is a group action. If fixes every projective point, then it fixes and , forcing , and fixing then gives . Thus the kernel consists exactly of the nonzero scalar matrices . The induced group homomorphism
is therefore injective. This is the projective general linear group action on the projective line.
For ,
The scalar subgroup has order , so
The four classes represented by
form a subgroup of order four, hence a Sylow subgroup for the prime two. Its action is translation on and fixes . For , characteristic two makes this permutation a product of two disjoint transpositions on the four finite points. It is therefore even, and
This realizes the Sylow 2-subgroup of PGL2 over F4.

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