Past exam of the mathematics course of the University of Cambridge 2002 ib Paper 3 11E Solution Created 2026-09-24 Updated 2026-10-14
The function increases for , andThus implies . Applying this to the triangle inequality for a metric proves the triangle inequality for the bounded metric transform . Symmetry and nonnegativity are immediate, and exactly when , so .
Each is compact and lies inside , so the supremum norm is finite for continuous . Every summand of lies between zero and , giving absolute convergence and . Symmetry is inherited from these norms. If , all the nonnegative summands vanish, hence on every ; their union is , so everywhere. Finallyand the subadditivity already proved give the triangle inequality term by term and then after summation. Therefore . This is a weighted metric for local uniform convergence, representing the compact-open topology.
The geometric-series sum is and its remainder is . Writing , the triangle inequality givesEquality occurs at the positive real point . ThusFor every integer , split the defining sum into a finite head and its tail. Since and ,Given , choose with . For that fixed , each of the finitely many displayed norms tends to zero, so their sum is below for sufficiently large . Hence , even though convergence is not uniform on the whole open disk.
For a compact exhaustion and positive summable weights , use the bounded metric transform on each compact supremum norm. The resulting series defines a metric on continuous functions and realizes local uniform convergence on compact subsets. The triangle inequality is termwise. For convergence, control finitely many compact seminorms and then the uniformly bounded weight tail; conversely a vanishing metric controls each fixed seminorm.