The sequence of functions converges uniformly to on if
The same must work for every . Equivalently, the supremum norm of tends to zero. This is stronger than pointwise convergence, where may depend on .
The Uniform Cauchy criterion says that converges uniformly on if and only if
For necessity, use the triangle inequality through the uniform limit. For sufficiency, the condition makes a Cauchy sequence for each , so completeness of the real numbers defines a pointwise limit . Apply the condition with and let to obtain uniformly in .
Use uniform convergence to choose with for all and ; this follows, for example, from the Uniform Cauchy criterion. Since each is a bounded function, put for . Then
for every and . Thus is a uniformly bounded family of functions. The finite initial segment is essential: uniform convergence directly controls only a tail of a sequence.
Write and with uniform convergence. The triangle inequality gives
Hence with uniform convergence.
If every is a bounded function, part iii gives constants bounding the two families. Their pointwise limits satisfy and . Consequently
Thus both sums and products have uniform convergence under the stated hypotheses. The product estimate is the uniform convergence product rule for bounded functions.
On , take and . Then with uniform convergence, because there is no error, and with uniform convergence, with error . Their products converge pointwise to zero, but for every the choice gives . Thus the products do not converge uniformly. Here the first family consists of unbounded functions, exactly the missing hypothesis in the preceding estimate.

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