The metric axioms and the three inequalities come from the operator-norm rules; entrywise convergence gives convergence through the entry-sum bound and the limit of a finite sum, and the entrywise limit of a Cauchy sequence is its limit. The limit laws follow entrywise, and the closed sets are handled with explicit balls.
Each result cited is universally quantified over the data in its own statement.
Let ; every clause is proved for these arbitrary sizes, using no others. Write and , so that by The Distance between Real Matrices §distance. By Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces §real-line, is a metric on with for .
Entrywise identities. For , comparing entries by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §operations, Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §zero and Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §equality gives , and , and shows that if and only if ; the entries of are .
Clause metric. is the map of The Operator-Norm Distance between Real Matrices Is a Map §map, by The Distance between Real Matrices §distance. Let . Nonnegative: by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §nonnegative. Zero: by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §definite, if and only if , that is, if and only if . Symmetric: by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §homogeneity. Triangle: by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §triangle. Hence is a metric on by Metric Space §metric, and is a metric space by Metric Space §metric-space.
Clause entry-bound. Let , and . Since the entry of is , The Operator Norm of Entries, Transposes, Multiples of the Identity, Orthogonal Factors and Diagonal Matrices §entry-bound gives .
Clause norm-lipschitz. Let . From and Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §triangle, ; in the same way , by the clause metric (Metric Space §symmetric); so .
Clause vector-bound. Let and . From and Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes §matrix-vector, , so , comparing components by Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations §operations and Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations §equality; hence by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products §bound.
Entry sequences. A sequence in is a sequence in , as by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §matrices; for and , its entry sequence , with by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §entries, is the sequence , a sequence in (The Sequences k ↦ f_k(p) of a Sequence in ℝ^I, and the Map of Their Limits §sections). The set is finite: and are finite intervals (Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §naturals), and a product of finite sets is finite (Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice §union).
Clause convergence. Let be a sequence in and .
Suppose converges to in , and let , and . The choices are made in this order: , and , then depending only on , then . By Convergent Sequence in a Metric Space §converges there is with for every ; for these , by the clause entry-bound. So converges to in , by the same definition.
Conversely, suppose converges to in for all and , and let ; put , where and are read in . The choices are made in this order: , then , then one depending only on , then .
The condition. Let , , be the given sequence (Sequences §sequence). As (entry sequences), the evaluation map of Projection, Evaluation and Currying Maps §evaluation, with for its and for its , is a map with for and . As for , Maps and Relations Given by Formulas §binary gives a map with , the difference map; let be the absolute-value map of Absolute Value and Squaring as Maps on the Reals, and Entrywise Absolute Values and Squares of a Real Matrix §absolute-value. The maps , , , and , the number , the sets and , and the strict relation of , for which means , enter the formulas below as parameters: set variables, or for a class variable, to which they are assigned. Let and be distinct set variables, and let be the guard for them. Under : and are terms of type and (Typed Terms under a Predicative Guard: Variables, Parameters, Values of Maps and Ordered Pairs, and Predicative Equations and Memberships between Them §variable); is of type , and is of type (Typed Terms under a Predicative Guard: Variables, Parameters, Values of Maps and Ordered Pairs, and Predicative Equations and Memberships between Them §value); is of type (Typed Terms under a Predicative Guard: Variables, Parameters, Values of Maps and Ordered Pairs, and Predicative Equations and Memberships between Them §pair, then the clause value); the difference and its absolute value are of type , by the clauses pair and value; and, being of type (Typed Terms under a Predicative Guard: Variables, Parameters, Values of Maps and Ordered Pairs, and Predicative Equations and Memberships between Them §parameter), the pair is of type . Let be the condition ", and ", that is, . By Typed Terms under a Predicative Guard: Variables, Parameters, Values of Maps and Ordered Pairs, and Predicative Equations and Memberships between Them §membership, with as its class , is expressed by a predicative formula.
One threshold. Let , so with and , and and by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §entries. By the same definition of convergence, with in place of , there is with and , that is, , for every with . As is finite, One Threshold for Finitely Many Monotone Conditions and for Tails §tails, with for its and for its , gives one common such that holds for every and every with ; that is, for all , and . Let . By The Operator Norm of Entries, Transposes, Multiples of the Identity, Orthogonal Factors and Diagonal Matrices §entry-sum applied to , whose entries are , and by Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality §comparison and Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality §constant in the ordered field , applied first to the sum over for each and then to the sum over ,
the last step as and . So converges to in , by the same definition of convergence.
Claim (the matrix of limits). Let be a sequence in such that is a Cauchy sequence in for all and . Then there is with for all and , and converges to in .
Proof of the claim. As is complete by Convergence, Limits and the Cauchy Condition for Real Sequences Agree with Those in the Real Line as a Metric Space, which is Complete §complete, each is convergent in by Complete Metric Space §complete. By The Sequences k ↦ f_k(p) of a Sequence in ℝ^I, and the Map of Their Limits §limit-map, applied with to , a sequence in whose sequences at the points are the entry sequences, there is such that, for all and , converges to in and . By the clause convergence, converges to in .
Clause cauchy. Let be a sequence in .
Suppose is Cauchy in , and let , and . The choices are made in this order: , and , then depending only on , then . By Cauchy Sequence in a Metric Space §cauchy there is with for all , and then by the clause entry-bound. So is Cauchy in , by Cauchy Sequence in a Metric Space §cauchy.
Conversely, suppose is Cauchy in for all and . By the claim, converges in to some . Let ; the choices are made in this order: , then depending only on , then . By the definition of convergence cited in the clause convergence, there is with for every , and for the clause metric (Metric Space §triangle and Metric Space §symmetric) gives . So is Cauchy in , by Cauchy Sequence in a Metric Space §cauchy.
Clause complete. Let be a Cauchy sequence in . By the clause cauchy, is Cauchy in for all and , so by the claim converges in to some . So is convergent in by Convergent Sequence in a Metric Space §convergent, and is complete by Complete Metric Space §complete.
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