Is Showing One ε Enough to Prove Discontinuity?
- Context: MHB
- Thread starter Joe20
- Start date
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Discussion Overview
The discussion revolves around the question of whether demonstrating a single ε value is sufficient to prove the discontinuity of a function. Participants explore the implications of continuity definitions in the context of rational and irrational points, focusing on the function's behavior around these points.
Discussion Character
- Debate/contested
Main Points Raised
- One participant argues that if a function \( f \) is continuous at a rational point \( x_0 \), then for \( \varepsilon = 1/2 \), there must exist a \( \delta > 0 \) such that \( f(U) \subseteq (1/2, 3/2) \), but this leads to a contradiction due to the presence of irrational points in every neighborhood of \( x_0 \).
- Another participant questions the choice of \( \varepsilon = 1/2 \) and asks for clarification on how to respond to the function values \( f(x) = 1 \) and \( f(x) = 0 \), indicating confusion about the continuity argument.
- A third participant clarifies that the initial claim does not imply knowledge of \( \varepsilon = 1/2 \) but rather that it was chosen as a specific case to demonstrate discontinuity. They emphasize that to prove continuity, one must show that the limit equals the function value for any \( \varepsilon > 0 \).
- This participant also notes that showing discontinuity for a specific \( \varepsilon \) is sufficient to conclude that the function is not continuous.
Areas of Agreement / Disagreement
Participants express differing views on the necessity of demonstrating continuity for all ε values versus a single ε value. There is no consensus on whether showing one ε is adequate to prove discontinuity, as some argue it is sufficient while others seek clarification on the implications of the continuity definition.
Contextual Notes
Participants discuss the implications of continuity definitions and the behavior of functions around rational and irrational points, but the discussion does not resolve the underlying mathematical nuances or assumptions regarding the function's behavior.
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