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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.
Depends on
The Minkowski affine four-space: the form , causal cones, frames and Lorentz maps
Euclidean maps and diffeomorphisms
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
Vector-valued functions , their limits and continuity, with the dictionary to the metric notions
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
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
Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point
Square roots exist: a unique with ; the positives are
Squaring is monotone on the nonnegatives
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
A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs
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
The derivative of at a point that is a limit point of , and differentiability on a set
A function differentiable at is continuous at
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
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with
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
Intervals of : the nine order-convex forms, nondegeneracy, and length
The integral with oriented limits: and