How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Em Minkowski Mathematical Prerequisites
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Determinants of Matrices over a Commutative Ring
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Algebra Methods in Combinatorics
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Riemann Integral: Definition and Integrability
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The finite-dimensional Minkowski algebra used by the covariant formulation of classical electromagnetism. The definition The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps fixes the affine four-space with its form of signature , the causal classification and the future cone , the standard orientation, Lorentz maps with the matrix criterion , the proper and orthochronous classes, frames, and the component laws of tensors under a frame change, with the fixed positive scalar carried as extra structure. The lemma The explicit Lorentz boost preserves , has determinant and preserves the future cone verifies that the explicit boost preserves the form, has determinant , preserves the future cone and has inverse , and records that the hypothesis is not removable. The lemma Proper time along a future timelike curve: strictly increasing reparametrization with constructs proper time along a future timelike curve, proves that the reparametrizing function is strictly increasing with inverse derivative , obtains the unit tangent with , and disposes of the null and straight-line cases. The lemma Antisymmetric contractions vanish and preserves identifies the index-raised operator of a skew bilinear form, proves , and shows that the conditional equation preserves , pointwise operators of a varying form included.
All items are mathematics: they carry domain: mathematics, depend only on
mathematical suppliers, and assert no physical conclusion. The identification
of the affine space with physical spacetime, of with the vacuum speed of
light, and of the conditional force equation with the Lorentz force are adopted
physical premises belonging to the consuming physical items. The companion
examples page tests the hypothesis boundaries of these statements.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps
Definition
Let and let be the set of all functions , with the pointwise vector-space structure of The vector space of all functions with pointwise operations, and as the case ; so is the function space of The vector space of all functions with pointwise operations, and as the case at and , and its elements are written with for , the components being indexed from and written with an upper index; the index conventions used throughout this item are fixed below. Let be the same set , whose elements are now called points, together with the map
given by pointwise addition of functions. Then the following three conditions hold.
- for all and all .
- for every .
- For all there is exactly one with , namely .
Conditions 1 and 2 are read at each of the four coordinates from the field axioms of , and condition 3 holds because satisfies coordinatewise while any with agrees with at every coordinate (Vector space over a field). A triple consisting of a set , a vector space and a map satisfying 1–3 is called an affine space with translation space ; the three conditions are its definition, so by 1–3 the set above is an affine space with translation space .
For let be given by for and for . Then is an ordered basis of (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis): every equals , because the two sides have the same value at each ; and if then evaluating at gives , so the list is linearly independent. We write and use the coordinate columns of Coordinate columns and matrices of linear maps relative to ordered bases with respect to this ordered basis.
The Minkowski form. Define
This is the standard bilinear form of The standard bilinear form on with the sign of the first coordinate reversed, together with the Euclidean inner product of The Euclidean inner product on on the last three coordinates; directly from the formula, for fixed the assignment is a linear combination of the component functions , hence linear, and similarly in , so is a bilinear form, and for all , so it is symmetric (Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms). Its matrix in the ordered basis is
and this matrix is its own inverse, the product of with itself being the identity matrix (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes); in particular it is invertible, so is nondegenerate (The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space).
Index conventions. The components of a vector are the numbers in its expansion in the ordered basis , and for a linear map one writes for the components of and for the matrix entries, so that . Write , so that , and let denote the inverse matrix of , that is, when and when . The lowered components of are , and the operation is inverted by , because is its own inverse; explicitly and for . In these conventions for all .
Causal classification. Let with . Then is timelike when , null when , and spacelike when ; it is causal when . If the nonzero is causal, then : the inequality gives , and would force , hence and , contrary to the hypothesis. A nonzero causal is therefore future-directed when and past-directed when , and exactly one of these two alternatives holds for a nonzero real (Order on the reals). The future causal cone is
whose elements are exactly the future-directed causal vectors; the zero vector is not in , because it fails .
Orientation. The standard orientation of is the orientation class of the ordered basis (Orientation of a finite-dimensional real vector space).
Lorentz maps. A Lorentz map is a linear map (Linear map between vector spaces over the same field) that is invertible (Invertible linear maps, linear isomorphisms, and inverse linear maps) and satisfies
Writing for the matrix of in the ordered basis (Coordinate columns and matrices of linear maps relative to ordered bases), for its transpose (The transpose of a matrix), and also for the matrix , the condition is the matrix identity
Expanding and in the basis gives , whereas , and the two sides agree for all exactly when for every , since inserting the basis vectors , gives the converse (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes). Equivalently, the matrix of in the basis is again ; this is the change-of-basis congruence of A basis change by changes the matrix of a bilinear form from to for the basis change from to its image under the invertible map . The invertibility requirement in the definition of a Lorentz map is in fact automatic: if satisfies the displayed identity and , then for every , so lies in the left radical of , which is because is nondegenerate; thus is injective, and an injective linear endomorphism of the four-dimensional space is surjective by Rank-nullity: together with If and is a linear subspace of , then is finite-dimensional, , and if and only if , so is a bijection, and its inverse is linear: for all and all reals , linearity of gives , and applying gives ; thus is invertible (Invertible linear maps, linear isomorphisms, and inverse linear maps). The map is proper when (The determinant of an endomorphism of a finite-dimensional vector space: its matrix determinant in an ordered basis in positive dimension, and on the zero space) and orthochronous when .
Frames. A frame of is a point together with an ordered basis of such that for all and . The coordinates of in that frame are the unique with ; uniqueness holds because is an ordered basis, and is the unique element of carrying to .
Tensors and components. For nonnegative integers , a tensor of type on is a map that is linear in each argument separately, where is the algebraic dual of Linear functionals and the algebraic dual . An empty product is a singleton, so a tensor is a scalar. Covectors are the case, a vector defines the tensor , and a two-form is a skew-symmetric tensor. These objects are maps, with arrays recording their components in a chosen basis.
Fix a frame and define its linear coordinate map by . It is invertible because is a basis, and by its defining pairings. For a Lorentz map , put , identifying its matrix with the linear map on . With origin fixed and new basis , the coordinates of the same point obey : indeed is equivalent to this identity. The basis is orthonormal since preserves , and it is a frame when is orthochronous, since then .
For a fixed vector , covector and two-form , let , and be their old component columns and matrix; primes denote the corresponding components in . Then
The vector law follows from . Substituting into and gives the other two laws by linearity and bilinearity. Equivalently, the coordinate functional is , the transpose operation of The transpose or algebraic adjoint , , of a linear map , and the coordinate bilinear form obeys . The geometric objects themselves are unchanged. In the standard frame , is the standard coordinate matrix of ; in a general frame it is .
Finally, a fixed positive real is separate extra structure: the coordinate has the dimension of length, and the time coordinate is . No physical claim is made here; in particular the identification of with physical spacetime, of with the future light cone, and of with the speed of light in vacuum are later physical premises.
Remarks
- Sign convention. The form has signature : with the index conventions of the Definition, is the time component and are the spatial components of ; the lowered time component carries the opposite sign, while for .
- What is not asserted. The affine space, the form, the cone and the transformation laws are mathematical data and conventions; the physical readings of these objects, and any statement that some physical trajectory or force equation has this form, are separate premises that this item does not supply.
The explicit Lorentz boost preserves , has determinant and preserves the future cone
Statement
Let and put (Rational powers of a positive base, Laws of rational exponents). Define by , , , . Then is linear (Linear map between vector spaces over the same field), is a proper orthochronous Lorentz map, and more precisely: (a) for all ; (b) ; (c) ; (d) . In particular a future causal vector has future causal image and for every (Order on the reals, Squaring is monotone on the nonnegatives). The hypothesis is not removable: at the factor is undefined.
Facts & Assumptions
Given: A real with , the number , the map defined in the statement, and the Minkowski space of The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps.
On the form is bilinear and symmetric with matrix ; the future causal cone is ; a Lorentz map is an invertible linear with for all ; the map is proper when and orthochronous when (The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps).
For and rationals the powers of Rational powers of a positive base satisfy , and (Laws of rational exponents). With , which is positive by the hypothesis, this gives and , so .
For one has exactly when (Squaring is monotone on the nonnegatives), and the order of is total, with for (Order on the reals); in particular gives and .
In an ordered basis the -th column of the matrix of a linear map is the coordinate column of , and the coordinate column of records the coefficients in (Coordinate columns and matrices of linear maps relative to ordered bases).
The determinant of an operator on a finite-dimensional space is the determinant of its coordinate matrix in any ordered basis (The determinant of an endomorphism of a finite-dimensional vector space: its matrix determinant in an ordered basis in positive dimension, and on the zero space).
If is row-reduced to an upper triangular matrix using only row additions, then the determinant is unchanged by each addition and is the product of the diagonal entries of (In positive dimension the determinant of an operator is computed from a representing matrix by row reduction, tracking swaps and row scalings).
An invertible linear map has a unique inverse linear map with and (Invertible linear maps, linear isomorphisms, and inverse linear maps).
A map is linear when for all and (Linear map between vector spaces over the same field).
Proof
is linear: in components , , , , so each component of is a real linear combination of the components of , and since addition and scalar multiplication in are pointwise, for all reals ; this is linearity in the sense of [L8].
(a) For all one has , and the same computation holds with in place of : substituting the displayed components into the form of [L1] gives , the bracket expands to , and by [L2], so the whole expression equals ; only occurs, so the computation with is identical.
(d) : the map is given by the same formulas with and is linear by the same component computation as the one displayed for , and using one computes and likewise , while both maps fix the last two components; the composite is the same computation with and interchanged. Hence is a two-sided inverse of , and by the uniqueness of the inverse in [L7], .
At the factor is undefined: there , while is defined for and only for rational [L2], so the hypothesis cannot be dropped.
(b, matrix) The matrix of in the basis has first column the coordinate column , second column and last two columns those of the identity matrix (the matrix is symmetric, so these are also its first two rows): by [L4] its columns are the coordinate columns of the images of the basis vectors, and the displayed component formulas give , , , .
(b) : replacing the second row of the matrix of step 1.5 by (second row) (first row) gives the row , since its first entry is and its second entry is . The resulting matrix is upper triangular with diagonal entries , , , . By [L5] and [L6], the row addition preserves the determinant and by [L2].
(c, inclusion) Both and : if then and , so by [L3], and since one has and , while by step 1.2; these are exactly the two defining conditions of .
(c) : step 2.2 gives the inclusion and also , which by from step 1.3 says ; for the vector then lies in and satisfies , so , and with the inclusion the two sets are equal.
In particular every future causal vector has future causal image, namely the inclusion from step 2.2, and for every is step 1.2 with .
is a proper orthochronous Lorentz map: it is linear by step 1.1, it satisfies for all by step 1.2, and it has the two-sided inverse by step 1.3, so it is a Lorentz map in the sense of [L1]; by step 2.1 makes it proper and by step 3.1 makes it orthochronous.
All claims of the statement are established — linearity in step 1.1, (a) in step 1.2, (d) in step 1.3, the excluded endpoint in step 1.4, (b) in steps 1.5 and 2.1, (c) in steps 2.2 and 3.1, the proper orthochronous Lorentz property in step 4.1 and the consequence for future causal vectors in step 3.2 — so the hypothesis is exactly as stated.
Proper time along a future timelike curve: strictly increasing reparametrization with
Statement
Let be a nonempty open interval (Intervals of : the nine order-convex forms, nondegeneracy, and length) and let be of class ( Euclidean maps and diffeomorphisms) with and for every ; is the derivative of the vector-valued curve (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral) and such a is called a future timelike curve. Put , fix , and define for . Then: (1) is continuous on and so is , where is the nonnegative square root (Square roots exist: a unique with ; the positives are , Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs); (2) is differentiable on with , hence is strictly increasing on , injective, and continuous (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive , On an interval , for continuous on and differentiable at every interior point: throughout gives nondecreasing, gives increasing, and give the two decreasing forms; conversely a nondecreasing has and a nonincreasing has wherever it is differentiable, and no strict converse is claimed); (3) the inverse is differentiable at every point of the interval , with (Continuous inverse theorem: a continuous injective on an interval is a bijection onto the order-convex set , and the inverse is continuous and strictly monotone in the same sense as , Derivative of an inverse: if is continuous and injective on a nondegenerate interval and differentiable at with , then the inverse is differentiable at with ; and if then is not differentiable at ); (4) the reparametrized curve is differentiable at every , with tangent satisfying (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions); (5) if instead for all , then , on and is not injective, so a null curve carries no proper-time parametrization (A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant); (6) if with and , then and is constant (A function differentiable at is continuous at , The derivative of at a point that is a limit point of , and differentiability on a set). The identification of such straight lines with inertial motion is a physical premise and is not asserted here.
Facts & Assumptions
Given: A nonempty open interval , a future timelike curve with and for all , the function , a point , and the function of the statement.
On the form is symmetric and bilinear with matrix , and is a fixed positive real (The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps).
A nonempty open interval is order-convex, its defining inequalities are strict, so each of its points has a neighbourhood contained in it and it has at least two elements (Intervals of : the nine order-convex forms, nondegeneracy, and length).
A map into is of class when all its components are of class ; for this means that every component has a continuous first derivative ( Euclidean maps and diffeomorphisms).
For a curve into and a limit point of its domain, is differentiable at exactly when every component is, and then ; sums and scalar multiples of differentiable curves are differentiable with the expected derivatives (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).
Every real has a unique with (Square roots exist: a unique with ; the positives are ).
For one has exactly when (Squaring is monotone on the nonnegatives).
Sums, scalar multiples, products, absolute values and quotients (where defined) of functions continuous at a point are continuous there, and constant functions and are continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function).
If is order-convex and is continuous and injective, then is strictly monotone, is order-convex, is a bijection, and the inverse is continuous (Continuous inverse theorem: a continuous injective on an interval is a bijection onto the order-convex set , and the inverse is continuous and strictly monotone in the same sense as ).
Composites of continuous functions are continuous (A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs).
On an order-convex set with at least two elements, a continuous has, for every base point , the primitive ; any two primitives differ by a constant; and for in one has for every primitive of (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive ).
If is continuous on an order-convex and at every interior point of , then is strictly increasing on (On an interval , for continuous on and differentiable at every interior point: throughout gives nondecreasing, gives increasing, and give the two decreasing forms; conversely a nondecreasing has and a nonincreasing has wherever it is differentiable, and no strict converse is claimed).
Differentiability at a limit point of the domain implies continuity there (A function differentiable at is continuous at ).
For a limit point of the domain, is the limit of as (The derivative of at a point that is a limit point of , and differentiability on a set).
If is order-convex with at least two elements, is continuous and injective with inverse , and , then and are limit points, and if is differentiable at with then is differentiable at with (Derivative of an inverse: if is continuous and injective on a nondegenerate interval and differentiable at with , then the inverse is differentiable at with ; and if then is not differentiable at ).
If is differentiable at , is a limit point of the domain of , and is differentiable at , then is differentiable at with (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
If is continuous on an order-convex and differentiable with at every interior point of , then is constant on (A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
For the oriented integral, and (The integral with oriented limits: and ).
Proof
is order-convex with at least two elements, and every point of is a limit point of and lies in its interior: is a nonempty open interval and so has one of the forms , , , with strict defining inequalities, so a sufficiently small neighbourhood of any is contained in , whence a punctured neighbourhood of meets again, and contains two distinct points.
is continuous on : by [L3] each component of the curve has a continuous derivative . By [L1], with . This finite sum of squares and scalar multiples of continuous functions is continuous by [L7].
is continuous on : on the map is continuous by [L7], strictly increasing by [L6], and its image is by [L5]; hence its inverse, which is by the uniqueness in [L5], is continuous on by [L8], and composing with the continuous gives a continuous function by [L9].
is continuous on : it is the scalar multiple of the continuous function by the constant , which exists because , and scalar multiples of continuous functions are continuous by [L7].
is a primitive of on , so is differentiable on with for every , and is continuous on : is order-convex with at least two elements by step 1.1 and is continuous by step 4.1, so the primitive assertion of [L10] applies to on with base point , giving the derivative everywhere on , and differentiability at the limit point of gives continuity at by [L12].
for every : by step 5.1, ; here by hypothesis, so because is the nonnegative square root of [L5], and because [L1]; the product of two positive reals is positive.
Null case: if for all , then by its definition and ; by step 5.1, is a primitive of the zero function on , so at every point of and is constant on by [L16]; moreover by [L17], so the constant is and on ; a constant function on is not injective because has at least two elements, so a null curve carries no proper-time parametrization.
is strictly increasing on , hence injective: is continuous on by step 5.1, is order-convex and every point of is interior to by step 1.1, and at every by step 6.1, so [L11] applies; a strictly increasing function is injective.
is an interval (order-convex), the map is a bijection with inverse , and is continuous on : this is [L8] applied to the continuous injective map on the order-convex set , whose image is by definition; the order-convexity of and continuity of are steps 1.1 and 5.1, and injectivity is step 7.1.
is differentiable at every point of , with : the inverse is the one supplied by step 8.1 from [L8], and [L14] applies to with there equal to and ; its hypotheses are the order-convexity of with at least two elements (step 1.1), continuity (step 5.1) and injectivity (step 7.1), and by step 6.1, so the derivative is by step 5.1.
For each the composite is differentiable at with derivative : is differentiable at the limit point of by [L3] and step 1.1, is differentiable at by step 9.1, and is a limit point of by [L14] as used in step 9.1, so the chain rule [L15] applies and gives the displayed derivative by [L4].
The reparametrized curve is differentiable at every , with tangent : by [L4] applied to the components of step 10.1, the curve is differentiable exactly when its components are and its derivative has those components, so is the vector with components , which is .
: by step 11.1, , and bilinearity and symmetry of [L1] give , since .
Straight-line case: assume with and , so is the constant and is the constant , and is the constant by step 5.1; the function is a primitive of on , its difference quotient at any being the constant by [L13], so for the evaluation formula of [L10] gives , for one has by [L17], and for antisymmetry [L17] gives ; hence , and the tangent of step 11.1 is the constant .
All six claims are established: claim (1) by steps 2.1 and 3.1; claim (2) by steps 5.1 (differentiability and derivative), 6.1 (strict positivity), 7.1 (strict increase and injectivity) and 5.1 (continuity); claim (3) by steps 8.1 and 9.1; claim (4) by steps 10.1, 11.1 and 12.1; claim (5) by step 6.2; and claim (6) by step 12.2; the identification of straight lines with inertial motion is not asserted.
Antisymmetric contractions vanish and preserves
Statement
Let be the four-dimensional real Minkowski vector space of The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps, with the fixed form of signature . Let be a skew-symmetric bilinear form, for all (Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms). Since is nondegenerate, for each there is exactly one with for all (Bilinear forms on correspond linearly and bijectively to linear maps , The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space), and is linear (Linear map between vector spaces over the same field); with in the fixed ordered basis of The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps and the inverse matrix of , one has , the index-raised form of . Then for every ; in components , where and . Consequently, if is a nonempty open interval (Intervals of : the nine order-convex forms, nondegeneracy, and length), is differentiable (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral), and on for some real and , then is constant on (Sums, scalar multiples, products and quotients: , , , and when , A function differentiable at is continuous at , A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant). The same norm-conservation conclusion holds for a family of skew forms and their pointwise operators defined by , when : no derivative of is required. In particular one may evaluate a varying field along a differentiable trajectory . This is a conditional statement about the given equation; it does not assert that this equation governs any particle.
Facts & Assumptions
Given: The four-dimensional Minkowski vector space of The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps with fixed ordered basis , a skew-symmetric bilinear form , a nonempty open interval , a differentiable curve , and real numbers and .
is symmetric and bilinear with matrix in the basis , that matrix is its own inverse, and is nondegenerate (The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps).
A bilinear form is skew-symmetric when for all , and over the real field this implies for every : setting gives and division by the nonzero real scalar gives zero (Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms, The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps).
A bilinear form on a finite-dimensional space is nondegenerate exactly when its flat map , , is an isomorphism (The matrix, left and right radicals, rank, and nondegeneracy of a bilinear form on a finite-dimensional space).
The assignment is a linear bijection from bilinear forms on to linear maps (Bilinear forms on correspond linearly and bijectively to linear maps ).
A map is linear when (Linear map between vector spaces over the same field).
A curve into is differentiable exactly when all its components are, and then (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).
Sums, scalar multiples and products of differentiable real functions are differentiable, with (Sums, scalar multiples, products and quotients: , , , and when ).
Differentiability at a limit point of the domain implies continuity there (A function differentiable at is continuous at ).
If is continuous on an order-convex set and at every interior point, then is constant on (A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
A nonempty open interval is order-convex, and every point of it is interior to it and is a limit point of it (Intervals of : the nine order-convex forms, nondegeneracy, and length).
Proof
For each the map is linear: by bilinearity of [L2] one has for all reals and all , so .
The flat map , , is a bijection: is nondegenerate on the four-dimensional space , so by [L3] its flat map is an isomorphism; equivalently, no nonzero satisfies for all .
For each there is exactly one with for all , namely : the functional lies in by step 1.1 and is a bijection by step 1.2, so exactly one satisfies , that is for all .
is linear: for all , all reals and every , bilinearity of and [L1, L2] gives ; since is arbitrary, the uniqueness in step 2.1 gives , which is linearity in the sense of [L5].
Coordinate formula: writing and letting denote the entry of the inverse of the matrix , one has , the sum running over : substituting this candidate into the defining pairing gives , because is the inverse-matrix identity and the matrix is its own inverse [L1]; the candidate therefore satisfies the defining property in step 2.1, and uniqueness gives the formula, that is and for .
for every : symmetry of [L1] and the defining equation of step 2.1 give , which is by the skew-symmetry of [L2].
Component form: , where and ; indeed by [L2], the middle equality using the inverse-matrix identity of step 3.2 and the last equally following from step 3.3 with the coordinate formula, since .
Norm conservation for a constant form: assume on with ; then is constant on . Indeed, by [L1] and [L6], with is differentiable on with , using the product rule and sum rule [L7]; the equation gives by step 3.3, so everywhere on ; is continuous on by [L8] and the interval is order-convex with every point interior [L10], so [L9] gives that is constant on .
Varying-form clause: let , , be skew-symmetric bilinear forms and let be defined pointwise by , with on ; then is again constant on . Indeed the computation of step 4.2 applies verbatim — it differentiates only , never or — giving , while at each fixed one has by the skew-symmetry of [L2]; hence and on , so [L9] gives that is constant as in step 4.2. In particular, for a varying field and a differentiable trajectory one may take and the corresponding pointwise operator .
Conclusion: for every there is exactly one with for all (step 2.1); is linear (step 3.1) and has the index-raised coordinate formula (step 3.2); (step 3.3), in components (step 4.1); and both and its varying-form version make constant on the nonempty open interval (steps 4.2 and 5.1). The statement is conditional on the displayed equation and asserts nothing about particles.
5 · Examples, experiments and counterexamples
None yet.