For , define by . If , then in particular
so . Thus is injective. Since a finite-dimensional vector space and its dual space have the same dimension, is also surjective and hence an isomorphism. This is the finite-dimensional real case of the Riesz representation theorem.
The adjoint operator of is the unique linear map satisfying
for every and . In the stated orthonormal bases, if and denote coordinate columns, then
Therefore the matrix of is the matrix transpose .
For ,
Hence . Taking orthogonal complements in the finite-dimensional space proves the image-kernel orthogonality for an adjoint
Put . For any ,
This is minimized at exactly when , equivalently when . Thus the normal equation for a linear inverse problem is
For the given linear least-squares problem,
The normal equations and have the unique solution
For square-integrable wavefunctions with the stated decay, multiplication by the real coordinate is Hermitian because
For , integration by parts gives
and the boundary term vanishes. The same arguments apply to and .
If and are Hermitian on a common suitable domain, then , so
Because commutes with and with ,
is Hermitian. Using and its analogue,
so is Hermitian as well.
Finally set and . Direct evaluation on a smooth test function gives : rotations commute with radial dilations. The scalar term in also commutes with everything, and therefore
Let . Using the convention
the discrete Fourier transform of the supplied sequence follows from the binomial theorem:
The orthogonality of roots of unity gives
Since both lie between zero and , it follows that
Since
for , the second-derivative criterion shows that is strictly convex. Put , so . For dual variable , the stationary equation in the Legendre transform is
It is the unique global maximizer of , and hence
Applying the same calculation with the conjugate exponent gives
Under the Legendre-Fenchel transform on all real dual variables, the same supremum additionally gives for .
Now take , , and apply the Fenchel–Young inequality . This yields Young's inequality for products
for positive and conjugate exponents .
On the unit sphere, the spherical excess formula gives the area of a spherical triangle as
For a sphere of radius , the right side is multiplied by .
Join an interior point of a convex spherical -gon to its vertices by geodesics. The resulting spherical triangles contain all polygon angles and angles summing to at the interior point. Adding their spherical excesses gives
For a regular polygon with interior angle , positivity of area requires , while strict convexity requires . Both limiting values can be approached by regular polygons, so
The Möbius transformation
maps the unit disc conformally onto the upper half-plane. On the upper semicircle of its boundary, approaches the positive real axis; on the lower semicircle it approaches the negative real axis. If , the harmonic function
has the required boundary limits.
For ,
Since the imaginary part is positive inside the disc,
Therefore the solution of the Dirichlet problem is
The exceptional boundary endpoints are precisely the jump points of the prescribed data.

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