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For the stated angular-frequency Fourier transform convention, the convolution theorem gives
The Fourier inversion theorem and the assumed absolute integrability therefore imply
Since and the principal argument is ,
All logarithms are , .
The Fourier transform of a derivative gives
Since ,
An arbitrary additive constant in affects only the zero-frequency Dirac delta function when transforms are interpreted as distributions.
The values of are . Hence
These are infinitely many distinct positive real numbers.
Since
the Inverse Fourier transforms of phase factors give
and
From one obtains
For the quotient is . Its principal logarithm is , so the principal value is
The Hermitian conjugate is . A matrix is unitary when , and Hermitian when .
For ,
Multiplying on the left by and on the right by shows that it is equivalent to . Taking inverses gives . Thus is unitary exactly when is a normal matrix.
Normality gives
Therefore one norm vanishes exactly when the other does.
Apply part (b) to the normal matrix . Since , one has
Thus is an eigenvector of with eigenvalue .
If is differentiable at and at , then is differentiable at and
Write , where , and put . Division by and passage to the limit proves the formula.
No. Take , , and . The function is not differentiable at , but is differentiable. Neither function is constant on an interval.
No. Take , , and . Then is not differentiable at zero, but is differentiable there.
No. Take
Both functions are nonconstant on every interval and nondifferentiable at zero, but is differentiable.
The comparison test says that if eventually and converges, then converges. If converges, its terms are bounded: . For ,
so comparison with a geometric series proves absolute convergence.
The radius is the number for which the power series converges absolutely for and diverges for . Given , both and converge, so their terms are bounded, say . Then
Thus ; letting gives .
This is the plane through perpendicular to the nonzero normal vector .
This is the affine plane through , provided and are independent. The scalars are affine coordinates in those two directions.
This is the sphere with centre and radius .
The cross product of the plane normals is proportional to , so
The point on the intersection perpendicular to is
which satisfies both plane equations and . Hence the line is .
The equally inclined line has direction . The distance between the two skew lines is
The signed displacement of the sphere centre from the plane is . Orthogonal projection gives the circle centre
Pythagoras gives
A real circle exists when : equality gives tangency and radius zero, while strict inequality gives a genuine circle.
The characteristic polynomial is
For , the eigenspace is spanned only by , so its geometric multiplicity is one although its algebraic multiplicity is two. Hence is not diagonalisable.
If , then
so the characteristic polynomials, eigenvalues, and algebraic multiplicities agree. The converse is false: and have the same characteristic polynomial, but the first is diagonalisable and the second is not, so they cannot be similar.
The Cayley-Hamilton theorem states that a square matrix satisfies its characteristic polynomial. If a matrix is diagonalisable, ; applying to the diagonal matrix gives zero and hence .
If , every eigenvalue satisfies , so all eigenvalues are zero and the characteristic polynomial is . Cayley--Hamilton then gives .
For ,
so the Hermitian matrix has positive real eigenvalues. If , then
Moreover , so .
Choose an orthonormal eigenbasis of and set , . Part (a) shows that the form an orthonormal eigenbasis of . If and have these vectors as columns, then they are unitary and
This is the singular value decomposition.
Here
with eigenvalues and corresponding normalized vectors and . A compatible choice is
Direct multiplication gives .
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 arithmetic--geometric mean inequality gives from onward. For ,
so the tail decreases to a limit . Passing to the recurrence gives , hence .
For the subadditive sequence, , so it is bounded. The Fekete lemma can be proved directly here as follows. Let . Fix and write , . Then
Thus , while the definition gives . Hence .
Let and . Conditional convergence gives and . Since and ,
The alternating-series test says that implies convergence of . The hypothesis implies eventually, so is eventually decreasing. For some , eventually ; the divergent product of these factors forces . The test now applies.
The intermediate value theorem says that a continuous takes every value between and . For , the closed sets where and cannot separate the connected interval; equivalently, taking the supremum of and using continuity gives a point with value .
Set and for . Every interval contains a zero ; continuity on makes take every value between and , yet is discontinuous at .
A monotone function can be discontinuous only by a jump. If it had a jump at , any number strictly between the left and right limits would lie between and but would not be attained, contrary to the hypothesis. Thus it is continuous.
For the last assertion, pass to subsequences with both within of and near , near . For , the intermediate value theorem on the interval joining and gives with ; then . The endpoint cases use the original sequences.
The mean value theorem says that for continuous on , differentiable inside, for some . Applied to on ,
which gives .
The ordinary mean value theorem gives for some . More generally, applying it to the difference of two translated functions shows inductively that
for some . Taking proves the result.
No. The Darboux theorem says that every derivative has the intermediate-value property. Choose . In a deleted neighborhood of , the assumed limit puts within of . Darboux's theorem applied between and any such would require values near , which that neighborhood excludes. This contradiction shows that cannot be a derivative.
For a bounded function, the lower and upper integrals are the supremum of lower Darboux sums and infimum of upper Darboux sums. It is Riemann integrable when these agree.
Here for , so . On it has only finitely many discontinuities and is piecewise continuous, hence integrable. On its upper-minus-lower contribution is at most . Taking proves integrability on .
Changing variables gives
The average of a continuous function over tends to as . The two terms therefore tend to and , proving the stated limit.
The continuous approximation of a Riemann-integrable function follows here by choosing partitions with upper-minus-lower sum below . On each subinterval choose the midpoint of the infimum and supremum to form a step function . Then
Replace each of the finitely many jumps of by a linear transition on intervals of sufficiently small total length, obtaining a continuous with . Hence , and uniformly for every subinterval ,
The characteristic polynomial of the homogeneous equation is
so . For a particular integral put . Then
Taking gives after discarding homogeneous terms. Therefore
Since , separation gives
The limiting condition gives . Taking with range and selecting the branch approaching yields
for .
Write on an interval not containing zero. The equation becomes , so . Hence
For a nonnegative random variable and , the Markov inequality is
Indeed, pointwise. Taking expectations and dividing by proves the claim.
Completing the square gives
For any , the exponential Markov bound and part (b) give
The minimum occurs at , so the Gaussian tail bound is
The first digits must be distinct and may be chosen in
ways; the remaining digits are then forced in reverse order. Thus, for ,
and the probability is zero for .
Let be the event that the block beginning at position , , is a spalindrome. Each has probability . If two starting positions differ by , the first half of the later block contains the middle digit of the earlier palindrome twice, contradicting distinctness. Thus the only possible overlap is .
That intersection consists of words , where has distinct digits, and hence has probability . This overlap structure of digit spalindromes makes inclusion--exclusion give
Let
The integrating factor identity gives
If are distinct solutions, their difference is a nonzero homogeneous solution, so every solution is
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