Translate and scale the circle to . For distinct points on it, the angle at is right exactly when
is purely imaginary. Since and similarly for , direct simplification gives . Thus exactly when , which says that the opposite side joins antipodal points and is a diameter. The converse is the same calculation in reverse.
The vertices satisfy
After removing the root , the product of the other roots has modulus equal to the constant term of , namely . Hence the product of the chord lengths from one vertex of a unit regular polygon is . Multiplying this identity over all vertices counts every chord twice, so the product of all chord lengths is . Scaling the circle by scales each of its chords by , giving
Expansion gives . Thus uniqueness fails precisely for and .
Solvability requires to be orthogonal to the left nullspace. For one may take ; for one may take .
For , compatibility gives when and when . The respective solution families are
and
where .
For every ,
Termwise differentiation gives
The differentiated series has the same radius of convergence .
Fix and define using only the power series. Termwise differentiation gives , and the product rule gives . Hence is constant, so . Multiplication by yields .
The removable definition gives the entire series
Therefore
The Darboux–Riemann criterion says that a bounded function on is Riemann integrable exactly when, for every , some partition satisfies . Indeed, every lower sum is at most every upper sum. Taking the supremum of lower sums and infimum of upper sums, the criterion makes their difference smaller than every positive , so they are equal; this common value is the Riemann integral.
Given , choose a partition of whose upper-minus-lower sum is below , and refine it by inserting . The contribution from subintervals lying in is nonnegative and no larger than the total difference. Restricting the refined partition to therefore gives upper-minus-lower sum below , so the criterion proves integrability there.
Taking the parallelogram spanned by as base gives base area and height . A tetrahedron has one third of the corresponding pyramid volume and the triangle has half the parallelogram base, hence
The reciprocal vectors are
which directly satisfy .
The final face contains , so . Therefore .
The th face through contains the two edge directions with , so for those . The one-dimensional space with these two orthogonality conditions is spanned by , hence for some nonzero real .
Dotting with gives , proving . Also
Combining these with gives the displayed face formula, with the orientation chosen so its signed right-hand side is positive.
The distinguished unit vector is . Comparing diagonal, symmetric off-diagonal, and antisymmetric parts gives
so .
On the line spanned by , multiplies by . On , it is the composition of a rotation with a dilation by . Consequently every area in that plane is multiplied by .
For a plane reflection, the direction is reversed while is fixed. Thus , , and , equivalently
The map is a rotation about the axis exactly when
or explicitly
These conditions make the axis fixed and the perpendicular-plane action length preserving; they are also necessary.
Let and . Since , inversion separately on and gives
provided .
The line/plane decomposition gives
Substituting the values in part (a) and simplifying yields
An eigenvalue is a scalar for which contains a nonzero vector; that kernel is its eigenspace. The characteristic polynomial has degree , so the fundamental theorem of algebra supplies at least one complex root and hence an eigenvalue. Its eigenspace dimension can be any integer from to .
With , direct expansion gives
Thus the eigenvalues are . Kernel calculation gives eigenspace dimensions , respectively.
The eigenvalue equation is , so
This is a nonzero square-summable vector exactly when and . Hence every point of the open unit disc is an eigenvalue, with the displayed one-dimensional eigenspace.
For the transpose shift, and for . If , the first equation and the subsequent recurrence force every component to vanish, both for and for . Thus has no eigenvalues, illustrating that a bounded infinite-dimensional operator need not have one.
A complex matrix is diagonalisable when it is similar to a diagonal matrix, equivalently when the vector space has a basis of its eigenvectors.
If , then , proving one inclusion. Conversely, if is an eigenvalue of , factor . If none of the were eigenvalues of , every would be invertible, making invertible, a contradiction. Thus for some eigenvalue of .
Write . The power series gives . Therefore
The vectors are eigenvectors of with eigenvalues . Applying the exponential to these eigenspaces gives
A sequence is Cauchy when, for every , some satisfies whenever .
The general principle of convergence says that a real sequence converges exactly when it is Cauchy. Convergent sequences are Cauchy by the triangle inequality. Conversely, a Cauchy sequence is bounded, so Bolzano–Weierstrass gives a convergent subsequence ; the Cauchy property then forces the entire sequence to converge to .
True. For , . Convergence of makes this tail arbitrarily small, so is Cauchy and hence convergent.
False. The sequence converges to zero, but , whose series diverges.
Write
uniformly for . The accumulated error from to tends to zero, while the corresponding harmonic sum tends to . Hence .
The statement means that for every there is such that and imply .
The function is continuous at exactly when .
If , continuity of gives , and continuity of at then gives . The sequential criterion proves continuity of at .
Both functions are continuous at every . At zero, while , so is discontinuous. Since , is continuous at zero and hence everywhere.
Let and let be the Dirichlet function, equal to on rationals and on irrationals. Then is continuous exactly on : the distance factor squeezes it to zero on , while away from it is a positive continuous factor times an everywhere-discontinuous function.
Using the preceding , define and for . Changing the value only at zero makes zero discontinuous while preserving continuity at every and discontinuity everywhere else. Thus the continuity set is precisely .
Differentiability at means that the limit
exists as a finite real number.
If is continuous on and differentiable on , then some satisfies .
If , the mean value theorem gives . Conversely, if is increasing, every difference quotient with positive or negative increment is nonnegative; taking its limit gives .
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