Metric Spaces: Distance as an Axiom · seed 1 · A4, ink-friendly. The answer key prints on its own page for grown-ups.

Distance as a short list of rules

Mathematics · Topology · ages 20-21
Name ______________________   Date ____________
  1. In the reals with the usual metric, consider x_n equal one over n. How many terms lie outside the ball of radius zero point zero one about zero?

    Answer: ______________

  2. Which statement is NOT a metric axiom?

    • d(x, y) equals d(y, x)
    • d(x, y) is 0 exactly when x equals y
    • d(x, z) is at least d(x, y) plus d(y, z)
    • d(x, z) is at most d(x, y) plus d(y, z)
  3. Which statement is NOT a metric axiom?

    • Distances are never negative
    • Distances satisfy the reversed triangle inequality
    • Distance is symmetric in its two points
  4. In the reals with the usual metric, look at 1 over n. How many terms lie outside the ball of radius 0.01 about zero?

    Answer: ______________

  5. Suppose d(x_n, x) equals one over n squared. What is the distance at n equal ten?

    Answer: ______________

  6. In metric spaces, f is continuous at a exactly when approaching sequences map to approaching values.

    Circle one:   True   False

  7. On continuous functions, d(f, g) is the maximum of |f minus g|. Why does the triangle inequality hold?

    • The pointwise triangle inequality passes to the maximum
    • All continuous functions are bounded by one
    • The maximum of a sum equals the sum of the maxima
    • Continuity forces all distances to be zero
  8. In metric spaces, f is continuous at a exactly when x_n tending to a forces f(x_n) tending to f(a). True or false?

    Circle one:   True   False

  9. Suppose d of x_n and x equals 1 over n squared, giving distance 0.01 at n equal 10. What does that say about convergence?

    Answer: ______________

  10. Two metrics on one set disagree about which sequences converge. What does this show?

    • One of the two cannot be a metric
    • The underlying set must be finite
    • Limits are never unique in metric spaces
    • Convergence is a property of the metric, not of the bare set
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Answer key

For grown-ups. Fold this page away before handing over the rest.

Distance as a short list of rules W1-mt_A3TMb8wL6k-s1

  1. 100 · One over n reaches zero point zero one at n equal one hundred, so the first one hundred terms sit outside.
  2. d(x, z) is at least d(x, y) plus d(y, z) · The triangle inequality caps distance by the detour sum. The reversed inequality is false in general.
  3. Distances satisfy the reversed triangle inequality · The triangle inequality caps distance by the detour sum, never the reverse.
  4. 100 · 1 over n reaches 0.01 at n equal 100, so the first 100 terms sit outside.
  5. 0.01 · One over one hundred is zero point zero one.
  6. True · Sequential continuity matches ball continuity in metric spaces.
  7. The pointwise triangle inequality passes to the maximum · Pointwise control at every point survives taking the maximum over points.
  8. True · True. Sequential continuity matches epsilon ball continuity in metric spaces.
  9. 0.01 · Distances shrink to 0, which is convergence to x.
  10. Convergence is a property of the metric, not of the bare set · The same points with different rulers give different arrivals. Measure matters.
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