Put , with the absolute constant chosen sufficiently large below, and suppose for a contradiction that no with satisfies .
Let
The set is compact and convex, while is closed and convex, so is closed and convex. We use the following finite-dimensional form of the Hahn-Banach separation theorem: if a point lies outside a nonempty closed convex set, there is a linear functional whose value at the point is strictly greater than its supremum over that set. Identifying linear functionals on through the inner product, there is therefore a function such that
The separating functional cannot have zero dual norm, so rescale it to make . Because is closed, convex, and symmetric, the finite-dimensional Bipolar theorem for a dual pair says that the unit ball of is precisely . Thus and .
The support function of is obtained by choosing where and where . In terms of the positive part of a real-valued function , the separating inequality becomes
Since , pointwise we have , and hence
Apply the supplied polynomial approximation of the positive part to . If , then its uniform approximation error and imply
The constant function and belong to the dual unit ball. By the assumed submultiplicativity, for every . Dual seminorm therefore gives
The stated coefficient bound, with in chosen larger than the absolute constant in that bound, makes this last quantity at most . Together with the polynomial-approximation error, this contradicts . The required consequently exists. This proves the dense model theorem for a multiplicative test family.
Write . The real potential and periodic boundary condition make a self-adjoint operator on the periodic domain. Since ,
because the inner product is real. Thus the Schrodinger equation preserves the norm.
For two nonorthogonal input states , preservation of inner products by gives
Hence the two output-program states agree up to phase. Any two qubit states can be joined through a state nonorthogonal to both, so after absorbing phases
is independent of the input.
A real matrix is orthogonal when . If , norm preservation gives . If and , preservation of the Hermitian inner product gives ; distinct unit-modulus eigenvalues therefore have orthogonal eigenvectors.
The nonreal eigenvalues of a real matrix occur in conjugate pairs. Since their product is one and , the remaining real eigenvalue is . If , then , and , so : the plane is invariant.
The restriction to is a planar orthogonal map whose determinant is , hence a rotation through some . In an orthonormal basis adapted to ,
Therefore and
The tangent plane
cuts the hyperboloid in
so its intersection is the pair of straight lines
Their accelerations vanish, hence are normal to the surface, so both lines are geodesics. Their tangent vectors at their intersection are and , whose inner product is zero. They therefore intersect at a right angle, giving the second case of plane-section geodesics of the unit one-sheet hyperboloid.
There are also geodesics entirely contained in . In the coordinates
the metric is
For a unit-speed geodesic, the Clairaut first integral for a surface of revolution is , and the constant-speed equation becomes
Choose and initial height . The geodesic initially tangent to the parallel has , and the displayed identity prevents it from entering . Since the parallel at is not itself a geodesic, the curve turns there and otherwise has . Hence it remains entirely in ; this is a geodesic trapped in one half of the unit one-sheet hyperboloid.
Finally, the waist
is a geodesic and is preserved setwise by every isometry of the hyperboloid. Indeed, its Gaussian curvature is
The value occurs exactly at . Since Gaussian curvature is intrinsic and therefore preserved by isometries, every isometry preserves the waist. Thus the answer to the final question is also yes, with the isometry-invariant waist geodesic of the unit one-sheet hyperboloid as an example.
Figure 1. . Blue meridians are disjoint geodesics in the plane y equals zero, red ruling lines are geodesics meeting orthogonally in the tangent plane x equals one, and the purple waist is an isometry-invariant geodesic.
Write , , , and let be the first fundamental form. Since
differentiating and , or equivalently taking the two inner products of the second formula with , gives
The matrix is invertible because is a regular embedded surface parametrization. Consequently the two geodesic equations hold exactly when is orthogonal to both tangent vectors and , which says precisely that is a normal vector. This is the ambient acceleration criterion for a surface geodesic.
Because is tangent and is normal,
Thus an affinely parametrized geodesic has constant speed, as recorded by constant speed of an affinely parametrized geodesic.
For a surface of revolution, use profile arc length and azimuth . Its Riemannian metric is
The azimuth is an ignorable coordinate, so the corresponding geodesic equation has the first integral
If and is the oriented angle with the parallel, then the component of velocity along the parallel is
Since is constant,
This is the Clairaut first integral for a surface of revolution.
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.
Associate to each set its characteristic vector of a set . The hypotheses say
If , taking the dot product with gives . Thus the vectors are linearly independent, so . Equality is attained by the singleton sets.
For the Volterra integration operator
the adjoint operator is
Since , direct integration gives
Similarly,
because . The half-integer sine and cosine families are orthonormal bases of , so is a singular system of a compact operator.
The Tikhonov solution for noisy data is therefore
Writing out the inner product and the singular functions makes this explicit:
The factors suppress the unstable reciprocal growth at high index.
Use the sign convention
for the Lagrangian function in constrained optimization. The Lagrangian dual problem is
where is the convex conjugate. For this convex problem with affine equality constraints, the stationarity and feasibility parts of the Karush-Kuhn-Tucker conditions are
They say exactly that the displayed operator satisfies
Thus its zeros are precisely the primal-dual optimal points, subject to the usual attainment assumptions.
For and , the Euclidean inner product gives
The last two terms cancel by the defining property of the matrix transpose, and the first is nonnegative by part a. Hence is a monotone operator.
Set . The implicit midpoint rule reads
Taking the inner product with gives
The last equality again follows from skew-symmetry. Mathematical induction therefore yields
Write . The trapezoidal rule is
Taking the inner product with gives
The two quadratic terms vanish because each is skew-symmetric. Moreover . Hence
Unlike the implicit midpoint rule, the trapezoidal rule evaluates at two different states, so the mixed terms need not cancel.
Take the real inner product of the equation with . The homogeneous Dirichlet boundary conditions and integration by parts give
Thus , and applying the same estimate to the difference of two solutions gives continuous dependence on the initial data. The constant-advection term is skew-symmetric under these boundary conditions and contributes no energy. Hence
Every term in the free energy contracts the vector components with the Euclidean inner product: it depends only on , , , and . A constant preserves all these contractions and commutes with spatial differentiation. Therefore
so every constant rotation of candidate (ii) has the same free energy. The orientation of the rotation plane of the polar helical smectic is thus continuously degenerate.
Suppose first that the stated unitary and environment states exist. Preservation of the inner product gives
The environment states are normalized, so the Cauchy-Schwarz inequality gives . Therefore
Conversely, write
and assume . If , put , so , and choose
Then and the desired output vectors have inner product , exactly matching the input vectors. If , the inequality forces , and one may take .
In either case the input pair and output pair have the same Gram matrix. The isometry taking one pair to the other extends to a unitary matrix, so the required exists. Hence
which is the environment-assisted two-state pure-state transformation criterion.
Condition on the information available before time . The current wealth is then fixed, while is independent of that information. Put
For any portfolio , use the inner product induced by the positive-definite matrix to write
The linear image of a multivariate normal vector shows that the two portfolio returns are jointly normal, and
Thus independence of uncorrelated jointly normal variables makes the residual return independent of the aligned return; it also has expected value zero.
The continuation value is concave by part (c). Conditional Jensen inequality therefore shows that adding the independent centered residual cannot improve the objective:
where . Since the optimal portfolio is unique, its residual must be zero.
It remains to determine the sign. If , the portfolios and have the same return variance, namely , while their means are and . The latter return has the distribution of the former plus the positive constant . Since is increasing, replacing by cannot reduce the objective, contradicting uniqueness. Hence .
Applying this conditional argument at every time gives nonnegative, past-measurable random variables such that
This is the Gaussian one-fund theorem.
The Navier-Stokes equation for constant mass density , dynamic viscosity , and body force per unit mass is
where the Newtonian fluid stress tensor is
Taking the dot product with gives
Incompressibility implies
and converts the left side into a local time derivative plus the divergence of kinetic-energy flux. The divergence theorem therefore gives the kinetic-energy balance for an incompressible Newtonian fluid
The four terms are respectively outward advective transport of kinetic energy, mechanical power supplied by surface traction, power supplied by the body force, and irreversible viscous dissipation into heat.
Schur lemma says that an intertwining linear map between irreducible finite-dimensional complex representations is either zero or an isomorphism. In particular, every endomorphism of an irreducible complex representation is a scalar multiple of the identity.
A continuous representation of a topological group is a continuous homomorphism
for a finite-dimensional complex vector space . It is a unitary representation if has a positive-definite Hermitian inner product for which
for every and .
For , start with any positive-definite Hermitian form and average it using normalized Haar measure:
Translation invariance makes this form -invariant, and positivity is preserved, proving unitarity. Since is abelian, the operators commute; since they are unitary, they are normal. Simultaneous diagonalization therefore decomposes into common one-dimensional eigenspaces. Thus every representation of the circle group is a direct sum of one-dimensional representations.
Write
The group law and inverse are
A calculation gives
Every element of the centre occurs by taking, for example, and . Hence the commutator subgroup is exactly . The image of a one-dimensional representation is abelian, so the one-dimensional representation kills the commutator subgroup and its kernel contains .
Now let be a complex representation of . Its restriction to the central subgroup
is a representation of the circle group. Decompose it into its distinct weight spaces:
Because is central, every commutes with its action and preserves every common eigenspace. Thus the are -subrepresentations, as asserted by the central circle weight-space decomposition.
Let . The map
is a one-dimensional representation of ; after composition with , its kernel contains . On its value is
so . A continuous character of has the form ; the displayed identity forces . Therefore every is trivial. Since the were distinct, and .
It follows that every finite-dimensional complex representation of kills the entire nontrivial central circle . Its kernel is therefore nontrivial, so no such representation is faithful. This is the real Heisenberg quotient has no faithful finite-dimensional representation.
Put
Since are unit vectors,
The feasible inner products with two unit vectors satisfy
The desired pair is feasible exactly when . In that case every maximizer has these inner products. If , symmetry and strict convexity force , and the nearest feasible diagonal point is
Using the vector triple product,
Hence
Rotations preserve dot products and cross-product lengths, while . Thus
Let
The target pair is feasible precisely when
or
On this interval,
Outside this interval, let be the unique number for which
and write . These equations give the unique weighted projection of onto the feasible ellipse, and therefore determine the maximizing inner products solely from . In the remaining cases,
Neither answer depends on or .