Take the scalene triangle vertex set . Its edge lengths are . Each vertex has a different unordered pair of incident edge lengths. A Euclidean isometry preserving the set must preserve these pairs, and therefore fixes every vertex.
To justify rigidity of a scalene triangle fully, Euclidean distances from an arbitrary plane point to these three fixed points determine that point uniquely: subtracting its squared Euclidean distance to the origin from the other two squared Euclidean distances determines its two coordinates. Thus an isometry fixing the three vertices fixes every plane point. Only the identity preserves .
For the general union of group translates, let . Left multiplication by permutes , soTherefore . This containment uses only the group action; the absence of symmetries of is not needed for the containment itself.
Use the same triangle and let consist of translations for . All its vertices have integer coordinates, and one vertex is the origin, soThe rotation through a quarter-turn preserves this integer lattice, and hence belongs to . It fixes the origin and is not the identity, whereas the only translation fixing the origin is the identity. It is therefore outside , proving . This is symmetry enlargement under group translates even though itself has trivial stabilizer subgroup.
Write a Möbius transformation as , with , on the Riemann sphere. If , infinity is not fixed, and its finite fixed points solveThe pole cannot solve this equation, since substitution gives . The quadratic has one or two distinct complex roots, so these give exactly one or two fixed points.
If , then and infinity is fixed. If , there is one additional finite fixed point, namely . If and , the transformation is a nonzero translation, with no finite fixed point. If and , it is the identity and fixes the entire sphere.
Thus a nonidentity Möbius transformation has one or two fixed points; the identity has infinitely many. The examples , , and realize the three possibilities respectively.
Complex conjugation fixes , but sends to , so it is not the identity. The preceding classification of fixed points of a Möbius transformation says that a nonidentity Möbius transformation has at most two fixed points. Since complex conjugation has at least three, it cannot be a Möbius transformation.
Take positive angles counterclockwise. The rotation sends the standard basis vectors to and . These images form the columns of its matrix, soThe columns are an orthonormal basis and the determinant is one, as required for a plane rotation.
Orient the axis towards and measure positive angles by the right-hand rule about . The vectors , and form a positively oriented orthonormal basis, since . Its change-of-basis matrix isRelative to this basis, the rotation fixes the first coordinate and rotates the last two. Writing and , its matrix in the standard basis is thereforeIn particular , , and , verifying the axis and the direction of rotation. Reversing the chosen orientation of the axis replaces by .
A vector space over the real numbers is a set with an addition making it an abelian group and a scalar multiplication by satisfying, for scalars and vectors , the identities , , and . A vector subspace is a nonempty subset closed under addition and scalar multiplication; a proper vector subspace is one unequal to . A spanning set is a set whose finite linear combinations give every vector of . A basis is a linearly independent spanning set. The dimension is the number of vectors in a basis, or its cardinality when the basis is infinite.
The sum of vector subspaces and their intersection of vector subspaces areBoth are vector subspaces: addition and scalar multiplication preserve the displayed forms or simultaneous membership. The intersection of vector subspaces is never empty because .
For the two given hyperplanes, adding and subtracting their defining equations gives and . HenceThese two nonzero vectors are orthogonal, and consequently form an orthogonal basis of the intersection of vector subspaces. Put and . Direct substitution gives , . Their dot products with vanish, and . Each defining equation of or is one nonzero linear constraint in four variables, so each vector subspace has dimension three. Thus each space has the indicated orthogonal basis:The last four vectors are nonzero and mutually orthogonal, so they are a basis of . They lie in , proving . The dimension identity is therefore verified numerically:
Use the least-upper-bound property as the least upper bound axiom: every nonempty set of real numbers bounded above has a least upper bound in . It implies convergence of a bounded increasing sequence: if is the supremum of its terms, then for every some term exceeds , and all subsequent terms lie between that term and . A bounded decreasing sequence converges by applying this argument to its negative.
The alternating series test states that if , , and , then converges. To prove it, let denote its partial sums. The even partial sums are increasing because . The odd partial sums are decreasing because . Moreover,Completeness of the real numbers therefore gives a limit of a sequence for each subsequence, denoted respectively for the even and odd subsequences. Their difference is , so . Every sufficiently late partial sum belongs to one of these two subsequences, proving convergence of the full sequence of partial sums. Multiplying the terms by leaves convergence unchanged.
The positive terms decrease to zero. The alternating series test just proved therefore gives convergence of the signed series. It is conditional convergence: , so , and the absolute-value series dominates the divergent harmonic series.
The comparison test for series used here says that if , convergence of implies convergence of , while divergence of implies divergence of . This follows by comparing increasing partial sums. For completeness, the harmonic series diverges because every block from to has sum at least .
The absolute-value series can be grouped in pairs of nonnegative terms:Indeed, for , so these positive partial sums are bounded by two. Completeness of the real numbers proves their convergence. The triangle inequality bounds every late signed sum by the corresponding late absolute-value sum, so absolute convergence implies convergence. Thus the series converges absolutely.
Group three consecutive terms. Their block sum isSince and for , we have . The comparison test for series and the preceding proof of convergence of show that converges absolutely.
This establishes convergence of the original partial sums at indices . Each intermediate partial sum differs from one of these by at most two of the original terms; those terms tend to zero. Thus all partial sums have the same limit of a sequence, which is the mechanism of convergence from fixed-length series blocks. The original series is not absolutely convergent, since its absolute-value series contains . Therefore the original series converges conditionally.
Let , with . The indices in the th dyadic block have one sign, soA convergent sequence of partial sums must be a Cauchy sequence: for every , all sufficiently late pairs of partial sums differ by less than . The displayed differences violate this necessary condition with , at arbitrarily late endpoints. Thus the series diverges, even though its individual terms tend to zero. This dyadic-block alternation of reciprocal terms has growing block lengths; the fixed-length block argument of the previous part does not apply.
Let be continuous on a closed bounded interval . First prove that is a bounded function. If it failed, we could choose with . The Bolzano-Weierstrass theorem gives a subsequence . Because the interval is closed, . Continuity gives , contradicting .
Now let , which exists by completeness of the real numbers and the bound just proved. Choose with . A convergent subsequence has limit of a sequence , and continuity gives . Applying the same argument to gives attainment of the infimum. This proves the extreme value theorem: the maximum and minimum both exist and are attained. The argument also covers a one-point interval, where the conclusions are immediate.
Take . It is continuous and bounded on , with infimum zero and supremum one, neither attained on this open interval.
Use the reduced-denominator function unbounded on every interval:Every value is a finite real number. In any nondegenerate interval , its interior contains infinitely many rational numbers, whereas there are only finitely many reduced fractions in with denominator at most any fixed . Some rational number in therefore has denominator exceeding . Hence the function is unbounded on every such interval. It reverses the positive values of the Thomae function rather than requiring an infinite value at any point.
The mean value theorem states that, if is continuous on and differentiable on , with , there is such thatTo deduce it from Rolle's theorem, subtract the secant line: . This function has the same continuity and differentiability properties and satisfies . Rolle's theorem gives an interior point with , which is precisely the required equality.
For the differential equation, the product rule givesThe preceding result makes this product constant. Thus all solutions are , and differentiation verifies every such solution.
For the integral assertion, continuity ensures that is Riemann integrable on every finite closed interval. Use the usual orientation for an integral with negative upper endpoint. For , additivity of the integral givesThe absolute value of this expression is at most the supremum of on the segment joining and . Continuity at makes this bound tend to zero for either sign of . Consequently , proving this form of the fundamental theorem of calculus.
Finally, a differentiable solution of the integral equation is continuous, so the fundamental theorem of calculus yields ; setting gives . The differential-equation calculation above now forcesConversely, , so this function satisfies the original integral equation. It is unique because every differentiable solution has already been forced to this form and this initial condition.
For a function with continuous derivatives through order on the interval between and , the Taylor formula with integral remainder isThis is Taylor's theorem about zero; translation gives the formula about any other point. To prove it, the case is the fundamental theorem of calculus. For , integration by parts givesSubstitution into the formula at order proves the formula at order by induction. The integral estimate, valid also for negative , isFor the smooth function satisfying , each fixed derivative is continuous on and hence is bounded there by the extreme value theorem. Thus a bound exists for every . Differentiating the differential equation repeatedly gives . Only the three functions are needed: take to be the maximum of their absolute-value bounds on . Then simultaneously for every and .
At zero the derivatives consequently repeat the values . Taylor's theorem therefore givesThe last limit of a sequence follows because the ratio of consecutive majorants is , eventually less than . Since is arbitrary, Taylor expansion from a periodic derivative equation provesThis proves convergence to the function using a remainder bound; it does not assume beforehand that a smooth function equals its Taylor series.
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