The cross product of the two in-plane directions is , with Euclidean norm . Either sign gives a unit normal vector:
The plane equation is , so the distance from a point to a plane gives
Write . Its three roots have modulus and arguments , with . Thus all three complex roots are
Further integer values of repeat these roots.
The Taylor series of the logarithm gives
The first nonzero term is therefore . It is positive on either side of the origin, so the stationary point is a strict local minimum. In fact , with equality only at zero, making it the global minimum as well.
The characteristic polynomial is . For the components are equal; for they are opposite. After normalization, the eigenvalues and associated eigenvectors are
An overall sign change of either normalized eigenvector is equivalent.
Taking each partial derivative of the scalar potential gives
The factor in the middle component comes from the chain rule. The potential is smooth, so the curl of a gradient identity gives .
Since , its gradient is
Each Cartesian component of contributes to the divergence, while the constant vector contributes zero. Hence
On , an integrating factor is . Multiplication gives , so the general solution is . The initial value forces . Therefore
The divergence is . In spherical coordinates, the angular integral is and the volume element contributes . Thus
The original PDF contains the product ; the transcription drops the after the first sine. Using gives the finite Fourier sine series
Thus , , and all other sine coefficients vanish. No cosine or constant terms are present.
Treat the fair coin tosses as independent. Multiplying the ten head probabilities gives
The number of tails has a binomial distribution. The complement of at least two tails consists of zero tails or exactly one tail. Therefore
Equating the three Cartesian components gives
The first and third equations yield and , hence , . They also satisfy the middle equation, so the intersection is
Set . Taking the dot product of the vector equation with gives
Here and , so . Substitution then gives
Geometrically the possible vector must lie on the line , and the scalar constraint picks one point. Equivalently the rank-one matrix update is invertible because . This is the nonsingular case of solvability of an affine rank-one vector equation.
The original PDF has here; the transcription loses its minus sign. Now and , so the scalar condition becomes and leaves arbitrary. Consequently
The solution set is a straight line parallel to , equivalently the intersection of and .
For the geometric mechanism, let . Since , , , and . Thus is an oblique projection onto the plane along . The specified lies in this image plane, and adding any multiple of the kernel direction leaves its image unchanged.
The same scalar consistency condition now has , so it reads . Hence there is no solution.
Geometrically the image of is still the plane , while this is outside it. Thus the failure is inconsistency, rather than a unique solution with a singular denominator.
Orient the common axis of the wedge faces along and its azimuthal bisector along positive . Reflection symmetries give . In spherical coordinates, use , , and . The volume is
Since , the first moment is
Dividing by the volume locates the centre of mass:
This is the centroid formula for a spherical wedge.
For the sketch, is positive and decreases from to , with . Indeed, on putting , the sign of is the sign of . The negative of this expression has derivative for and starts at zero, proving strict decrease.
Figure 1.
Distance of the centre of mass of a spherical wedge from its sphere centre
. Details.
Use the same axes as in (a) and choose the outward orientation. On the curved spherical lune, and . Its vector area is
The and components cancel. The component is , hence
Here points along the azimuthal bisector; another coordinate choice rotates this vector accordingly. Its magnitude is the signed projected area, not the scalar curved area . Reversing the orientation reverses its sign.
The curl of the first vector field is
which is not identically zero. Thus is not conservative on and cannot equal a negative gradient there.
For the second field, direct differentiation shows
Therefore is conservative, and the requested negative-gradient potential is
Its curl vanishes, consistently with the curl of a gradient identity.
On the first straight segment, and only is nonzero, so both integrals vanish. On the second segment, and only is nonzero; each integrand is one, contributing . On the last segment, and only is nonzero; each integrand is , contributing . Thus
The second result also follows from the fundamental theorem for line integrals, using the potential found in (a). Agreement on this one path does not make conservative.
Parametrize the diagonal by for . Then
The second expression is , immediately giving . The first differs from it by . Two applications of integration by parts give
Hence
The changed value for explicitly demonstrates path dependence, while gives the same endpoint-dependent result.
A uniform distribution has constant density on its support, fixed by normalization. Thus
The density's assigned values at the endpoints do not affect probabilities.
Normalization requires . Therefore
The graph rises linearly from zero to the left-hand limit , then drops to zero beyond . Its enclosed triangular area is one. The combined sketch in (f) uses dimensionless time and shows this density together with the cumulative probabilities.
Integrating the first probability density function gives the cumulative distribution function
Its graph is a straight ramp from to , followed by a horizontal plateau.
The second cumulative distribution function is the integral of its density:
Its graph is an upward-curving parabolic arc from to , followed by a horizontal plateau. Both cumulative functions are continuous at their upper support endpoints.
The product formula requires independent failure times. This assumption is not stated in the original PDF. Under that intended assumption, put and use the failure probabilities for two independent lifetimes:
Its graph is a cubic increasing from to , convex before reaching its plateau.
Without independence, the marginal distributions do not determine . The Fréchet inequalities give the sharp pointwise bounds
For example, taking and with the same uniform random variable preserves both prescribed marginals but gives , rather than .
Under the same independence assumption, inclusion-exclusion gives
On ,
There is one interior inflection point, where the curvature changes from positive to negative:
At the graph reaches one with zero slope and then stays constant. There is no further change from one sign of curvature to the opposite sign there.
Figure 1.
Failure densities and cumulative probabilities, with independent lifetimes for the joint curves
. Details.
Without independence, still holds, but only is forced by the marginals. Its inflection behaviour is then not determined. The shared- construction in (e), for example, gives before the plateau.
The characteristic equation has roots , and a trial multiple of gives the particular solution . Thus
The first two conditions give and , hence . At , the exponentials equal . Therefore
No solution satisfies all three conditions. The first two initial data already determine a unique solution of the second-order linear differential equation; the extra condition is inconsistent with it.
Use the same general solution. The first two conditions now give and , so , . Hence
At , its value is , so the third condition is also satisfied. This is the unique consistent solution.
The repeated factor in the differential operator suggests . Direct differentiation gives , so and
The first value gives . The second gives , hence and . Therefore
For a continuously differentiable differential one-form, exactness requires . It is locally sufficient, and globally sufficient on a simply connected domain; on a domain with holes, closedness alone need not imply exactness.
An integrating factor for a differential one-form depending only on must satisfy
Thus, where ,
If the ratio depends only on , this defines a nonzero factor and makes it a closed differential form, hence locally exact. For a factor depending only on , the analogous calculation gives
provided the ratio is a function only of on the region where . A nonzero constant multiple of either factor works equally well.
Write the equation as , with and . Then
so a suitable integrating factor is on either half-line. For example, on the resulting exact form is
Hence the solution, written to cover either sign of , is
The original equation remains meaningful at , where it requires . Only gives a finite differentiable extension across zero, namely .
Here and . Their derivatives give
Thus on intervals with , choose the integrating factor . The multiplied form is
Consequently
This implicit family includes and the branch when . Where the coefficient of is nonzero, its differentiated form directly recovers the original equation. A useful equivalent relation is . At , the original equation requires ; continuation there must be checked in that original equation rather than justified by the singular integrating factor. In particular the zero solution extends everywhere, and extends smoothly across the cosine zeros where it is defined.
Put , so . On an interval with , substitution and cancellation give
Since , no constant- solution is lost when separating. Integrate
to obtain
After restoring , a local implicit general solution is
The inverse tangent is chosen continuously on a solution branch. Using the continuous polar angle of extends the expression to charts through when the original equation permits it. A differentiable graph cannot pass through , because there the original equation would require .
An eigenvalue equation has the form , where is an eigenvector and its eigenvalue. It means that the linear map preserves the vector's line and acts there by multiplication by . Nonzero solutions occur precisely when ; the zero vector is excluded because it would satisfy the equation for every .
Each proposed displacement has second derivative . Matching the coefficients of the common time factor in the three equations gives
These algebraic relations hold for the entire oscillation, including the isolated times when the common cosine vanishes.
With , the eigenvalue equation is
The dimensionless matrix is the stiffness matrix divided by ; its eigenvalues determine squared angular frequencies.
Expanding the determinant along the first row gives
The eigenvalues and normalized spatial eigenvectors, in increasing frequency order, are
For each mode both signs of give the same cosine displacement. An arbitrary overall mode amplitude remains free. These vectors are the instances of the sine eigenvectors of the fixed-end spring chain.
The pairwise dot products of the normalized vectors are
Their squared norms are respectively , , and , all one. Hence they form an orthonormal basis. This also follows from the spectral theorem for real symmetric matrices, because is symmetric and its three eigenvalues are distinct.
The largest angular-frequency magnitude is . With overall amplitude , the corresponding displacements are
Thus the two outer masses move together, while the middle mass moves oppositely with times their amplitude. All three have the same period .
Figure 1.
Highest-frequency mode of three equal masses between fixed supports
. Details.
One period advances the fundamental phase by , so the angular frequency is
The sine and cosine functions are orthogonal over a complete period. For positive integers ,
while every mixed sine-cosine integral and every integral of a nonconstant single harmonic is zero. These identities follow from the product-to-sum formulas and the integer-period endpoint values.
Multiply the Fourier series by and integrate. All terms except vanish, giving . Repeating with sine isolates . Thus
Integrating without a harmonic also gives . The factor on the constant term in the chosen convention is essential.
Put , so the nonzero half-cycle is . The constant coefficient is
The sine coefficients satisfy
by sine orthogonality. For the cosine coefficients, the product-to-sum identity gives, when ,
The case is zero directly. Hence
The first five nonzero terms, counting the constant as the zero-frequency term, are
The general coefficient formula specifies every remaining term. This is the Fourier series of a half-wave rectified sinusoid; the waveform is continuous at the joins, so the series gives its actual value there.
The given identity immediately yields . Thus only the fundamental sine coefficient changes: becomes . No new integral is needed. The first five nonzero terms are
This also follows from translation of a Fourier series: a half-period delay multiplies the th harmonic by , leaving the constant and even harmonics unchanged and reversing the only odd harmonic present.
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