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Proper time along a C1 future timelike curve: strictly increasing reparametrization with η(U,U)=−c2

Statement

Let J⊆R be a nonempty open interval (Intervals of R: the nine order-convex forms, nondegeneracy, and length) and let z:J→R4 be of class C1 (Ck Euclidean maps and diffeomorphisms) with η(z′(s),z′(s))<0 and z0′(s)>0 for every s∈J; z′ 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 z is called a C1 future timelike curve. Put g(s):=−η(z′(s),z′(s))>0, fix s0∈J, and define τ(s):=c−1∫s0sg(u) du for s∈J. Then: (1) g is continuous on J and so is s↦g(s), where ⋅ is the nonnegative square root (Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}, 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) τ is differentiable on J with τ′(s)=c−1g(s)>0, hence τ is strictly increasing on J, injective, and continuous (Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫abf=G(b)−G(a) for any primitive G, On an interval I, for f continuous on I and differentiable at every interior point: f′≥0 throughout gives f nondecreasing, f′>0 gives f increasing, f′≤0 and f′<0 give the two decreasing forms; conversely a nondecreasing f has f′≥0 and a nonincreasing f has f′≤0 wherever it is differentiable, and no strict converse is claimed); (3) the inverse τ−1:τ[J]→J is differentiable at every point τ(s) of the interval τ[J], with (τ−1)′(τ(s))=c/g(s) (Continuous inverse theorem: a continuous injective f on an interval I is a bijection onto the order-convex set f[I], and the inverse g:f[I]→I is continuous and strictly monotone in the same sense as f, Derivative of an inverse: if f is continuous and injective on a nondegenerate interval I and differentiable at c∈I with f′(c)≠0, then the inverse g is differentiable at f(c) with g′(f(c))=1/f′(c); and if f′(c)=0 then g is not differentiable at f(c)); (4) the reparametrized curve z∘τ−1:τ[J]→R4 is differentiable at every τ(s), with tangent U(τ(s)):=c z′(s)/g(s) satisfying η(U,U)=−c2 (The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then f∘g is differentiable at c with (f∘g)′(c)=f′(g(c)) g′(c), 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 η(z′(s),z′(s))=0 for all s∈J, then g=0, τ≡0 on J and τ is not injective, so a null curve carries no proper-time parametrization (A function continuous on an interval I whose derivative vanishes at every interior point of I is constant on I; consequently two such functions with the same derivative differ by a constant); (6) if z(s)=p+sv with η(v,v)<0 and v0>0, then τ(s)=c−1−η(v,v) (s−s0) and U=c v/−η(v,v) is constant (A function differentiable at c is continuous at c, The derivative f′(c)=lim⁡x→cf(x)−f(c)x−c of f:A→R at a point c∈A that is a limit point of A, 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 J⊆R, a C1 future timelike curve z:J→R4 with η(z′(s),z′(s))<0 and z0′(s)>0 for all s∈J, the function g(s):=−η(z′(s),z′(s))>0, a point s0∈J, and the function τ(s):=c−1∫s0sg(u) du of the statement.

[L1]

On V=R4 the form η is symmetric and bilinear with matrix diag⁡(−1,1,1,1), and c is a fixed positive real (The Minkowski affine four-space: the form η, causal cones, frames and Lorentz maps).

[L2]

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 R: the nine order-convex forms, nondegeneracy, and length).

[L3]

A map into Rq is of class Ck when all its components are of class Ck; for k=1 this means that every component has a continuous first derivative (Ck Euclidean maps and diffeomorphisms).

[L4]

For a curve f into Rm and a limit point c of its domain, f is differentiable at c exactly when every component is, and then f′(c)i=fi′(c); 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).

[L5]

Every real a≥0 has a unique a≥0 with (a)2=a (Square roots exist: a unique a≥0 with (a)2=a; the positives are {x2:x≠0}).

[L6]

For a,b≥0 one has a≤b exactly when a2≤b2 (Squaring is monotone on the nonnegatives).

[L7]

Sums, scalar multiples, products, absolute values and quotients (where defined) of functions continuous at a point are continuous there, and constant functions and x↦xn 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).

[L8]

If I is order-convex and f:I→R is continuous and injective, then f is strictly monotone, f[I] is order-convex, f:I→f[I] is a bijection, and the inverse is continuous (Continuous inverse theorem: a continuous injective f on an interval I is a bijection onto the order-convex set f[I], and the inverse g:f[I]→I is continuous and strictly monotone in the same sense as f).

[L10]

On an order-convex set I with at least two elements, a continuous f:I→R has, for every base point c0∈I, the primitive F(x)=∫c0xf; any two primitives differ by a constant; and for a<b in I one has ∫abf=G(b)−G(a) for every primitive G of f (Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫abf=G(b)−G(a) for any primitive G).

[L12]

Differentiability at a limit point of the domain implies continuity there (A function differentiable at c is continuous at c).

[L13]

For c a limit point of the domain, f′(c) is the limit of (f(x)−f(c))/(x−c) as x→c (The derivative f′(c)=lim⁡x→cf(x)−f(c)x−c of f:A→R at a point c∈A that is a limit point of A, and differentiability on a set).

[L14]

If I is order-convex with at least two elements, f:I→R is continuous and injective with inverse g:f[I]→I, c∈I and b:=f(c), then c and b are limit points, and if f is differentiable at c with f′(c)≠0 then g is differentiable at b with g′(b)=1/f′(c) (Derivative of an inverse: if f is continuous and injective on a nondegenerate interval I and differentiable at c∈I with f′(c)≠0, then the inverse g is differentiable at f(c) with g′(f(c))=1/f′(c); and if f′(c)=0 then g is not differentiable at f(c)).

[L15]

If g is differentiable at c, b:=g(c) is a limit point of the domain of f, and f is differentiable at b, then f∘g is differentiable at c with (f∘g)′(c)=f′(b)g′(c) (The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then f∘g is differentiable at c with (f∘g)′(c)=f′(g(c)) g′(c)).

[L16]

If f is continuous on an order-convex I and differentiable with f′=0 at every interior point of I, then f is constant on I (A function continuous on an interval I whose derivative vanishes at every interior point of I is constant on I; consequently two such functions with the same derivative differ by a constant).

[L17]

For the oriented integral, ∫uuf=0 and ∫uvf=−∫vuf (The integral with oriented limits: ∫aaf:=0 and ∫baf:=−∫abf).

Proof

technique · direct
1.1givenL2algebra

J is order-convex with at least two elements, and every point of J is a limit point of J and lies in its interior: J is a nonempty open interval and so has one of the forms (a,b), (a,∞), (−∞,b), R with strict defining inequalities, so a sufficiently small neighbourhood of any s∈J is contained in J, whence a punctured neighbourhood of s meets J again, and J contains two distinct points.

2.1step 1.1L1L3L7algebra

g is continuous on J: by [L3] each component za of the C1 curve has a continuous derivative za′. By [L1], g(s)=−η(z′(s),z′(s))=(z0′(s))2−∑i=13(zi′(s))2=∑a=03ϵa(za′(s))2 with ϵ=(1,−1,−1,−1). This finite sum of squares and scalar multiples of continuous functions is continuous by [L7].

3.1step 2.1L5L6L7L8L9

s↦g(s) is continuous on J: on [0,∞) the map x↦x2 is continuous by [L7], strictly increasing by [L6], and its image is [0,∞) by [L5]; hence its inverse, which is ⋅ by the uniqueness in [L5], is continuous on [0,∞) by [L8], and composing with the continuous g gives a continuous function by [L9].

4.1step 3.1L1L7

h(s):=c−1g(s) is continuous on J: it is the scalar multiple of the continuous function g by the constant c−1, which exists because c>0, and scalar multiples of continuous functions are continuous by [L7].

5.1step 1.1step 4.1L10L12

τ is a primitive of h on J, so τ is differentiable on J with τ′(s)=h(s)=c−1g(s) for every s∈J, and τ is continuous on J: J is order-convex with at least two elements by step 1.1 and h is continuous by step 4.1, so the primitive assertion of [L10] applies to h on J with base point s0, giving the derivative everywhere on J, and differentiability at the limit point s of J gives continuity at s by [L12].

6.1step 5.1L1L5algebra

τ′(s)=c−1g(s)>0 for every s∈J: by step 5.1, τ′(s)=c−1g(s); here g(s)>0 by hypothesis, so g(s)>0 because g(s) is the nonnegative square root of g(s) [L5], and c−1>0 because c>0 [L1]; the product of two positive reals is positive.

6.2step 1.1step 5.1L16L17algebra

Null case: if η(z′(s),z′(s))=0 for all s∈J, then g=0 by its definition and h=0; by step 5.1, τ is a primitive of the zero function on J, so τ′=0 at every point of J and τ is constant on J by [L16]; moreover τ(s0)=∫s0s0g(u) du=0 by [L17], so the constant is 0 and τ≡0 on J; a constant function on J is not injective because J has at least two elements, so a null curve carries no proper-time parametrization.

7.1step 1.1step 5.1step 6.1L11

τ is strictly increasing on J, hence injective: τ is continuous on J by step 5.1, J is order-convex and every point of J is interior to J by step 1.1, and τ′(s)>0 at every s∈J by step 6.1, so [L11] applies; a strictly increasing function is injective.

8.1step 1.1step 5.1step 7.1L8

τ[J] is an interval (order-convex), the map τ:J→τ[J] is a bijection with inverse τ−1:τ[J]→J, and τ−1 is continuous on τ[J]: this is [L8] applied to the continuous injective map τ on the order-convex set J, whose image is τ[J] by definition; the order-convexity of J and continuity of τ are steps 1.1 and 5.1, and injectivity is step 7.1.

9.1step 1.1step 5.1step 6.1step 7.1step 8.1L14algebra

τ−1 is differentiable at every point τ(s) of τ[J], with (τ−1)′(τ(s))=1/τ′(s)=c/g(s): the inverse τ−1:τ[J]→J is the one supplied by step 8.1 from [L8], and [L14] applies to τ with c there equal to s and b=τ(s); its hypotheses are the order-convexity of J with at least two elements (step 1.1), continuity (step 5.1) and injectivity (step 7.1), and τ′(s)≠0 by step 6.1, so the derivative is 1/τ′(s)=c/g(s) by step 5.1.

10.1step 1.1step 9.1L3L4L15algebra

For each a∈{0,1,2,3} the composite za∘τ−1:τ[J]→R is differentiable at τ(s) with derivative za′(s)⋅c/g(s): za is differentiable at the limit point s of J by [L3] and step 1.1, τ−1 is differentiable at τ(s) by step 9.1, and τ(s) is a limit point of τ[J] by [L14] as used in step 9.1, so the chain rule [L15] applies and gives the displayed derivative by [L4].

11.1step 10.1L4algebra

The reparametrized curve z∘τ−1:τ[J]→R4 is differentiable at every τ(s), with tangent U(τ(s))=c z′(s)/g(s): 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 U(τ(s)) is the vector with components za′(s)c/g(s), which is c z′(s)/g(s).

12.1step 11.1L1algebra

η(U(τ(s)),U(τ(s)))=−c2: by step 11.1, U(τ(s))=c z′(s)/g(s), and bilinearity and symmetry of η [L1] give η(U,U)=(c2/g(s)) η(z′(s),z′(s))=−(c2/g(s)) g(s)=−c2, since g(s)=−η(z′(s),z′(s))>0.

12.2step 5.1step 11.1L1L10L13L17algebra

Straight-line case: assume z(s)=p+sv with η(v,v)<0 and v0>0, so z′ is the constant v and g is the constant k:=−η(v,v)>0, and h is the constant c−1k by step 5.1; the function G(s):=c−1k(s−s0) is a primitive of h on J, its difference quotient at any c∈J being the constant c−1k by [L13], so for s>s0 the evaluation formula of [L10] gives τ(s)=G(s)−G(s0)=G(s), for s=s0 one has τ(s0)=∫s0s0h=0=G(s0) by [L17], and for s<s0 antisymmetry [L17] gives τ(s)=−∫ss0h=−(G(s0)−G(s))=G(s); hence τ(s)=c−1−η(v,v)(s−s0), and the tangent of step 11.1 is the constant U(τ(s))=c v/k=c v/−η(v,v).

13.1step 2.1step 3.1step 5.1step 6.1step 6.2step 7.1step 8.1step 9.1step 10.1step 11.1step 12.1step 12.2∎

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.

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