Oxymoron
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I would like someone to check my working please. Here is the question:
Is the mapping
f:\mathbb{Q}_p \rightarrow \mathbb{R}
continuous?
My solution:
A mapping f:X\rightarrow Y is continuous at a point x \in X if for every \epsilon > 0 there exists a \delta > 0 such that
d(x,y) < \delta \Rightarrow d(f(x),f(y)) < \epsilon
A function is continuous if it is continuous at every point in its domain.
This is the definition of continuity that I will be using. Note that I made this choice because the domain of the mapping lies in the rationals with respect to the p-adic metric. Further, \mathbb{Q}_p and \mathbb{R} are both metric spaces - ie there is a very good notion of distance between two points in both sets. This idea is crucial to my solution.
Loosely, the definition above says that all points f(y) \in Y near f(x) \in Y have their preimages y \in X near x \in X.
In the question at hand, the function f maps points in the metric space \mathbb{Q}_p to points in \mathbb{R} - where \mathbb{R} is the metric space w.r.t to usual Euclidean metric.
For the function to be continuous the following must be satisfied: The point f(x) \in \mathbb{R} near f(x) \in \mathbb{R} must imply that y \in \mathbb{Q}_p is near x \in \mathbb{Q}_p.
Technically speaking, given an epsilon > 0 there must exist a delta > 0 such that d(x,y) < \delta \Rightarrow d(f(x),f(y)) < \epsilon.
But d(x,y) := |x-y|_p. That is, distance between two points with respect to the p-adic metric gets larger and larger as x gets closer and closer to y with respect to the Euclidean metric. So I can not always guarantee the existence of a positive, non-zero \delta for any given \epsilon. Therefore the mapping f is NOT continuous.
To make this clearer, the distance between two points x, y \in \mathbb{Q}_p actually gets larger as x and y become closer with respect to the Euclidean metric. So the preimages of 'close' points in \mathbb{R} are actually very far apart in \mathbb{Q}_p. This is the exact opposite of what it means for a function to be continuous.
How does this sound?
Is the mapping
f:\mathbb{Q}_p \rightarrow \mathbb{R}
continuous?
My solution:
A mapping f:X\rightarrow Y is continuous at a point x \in X if for every \epsilon > 0 there exists a \delta > 0 such that
d(x,y) < \delta \Rightarrow d(f(x),f(y)) < \epsilon
A function is continuous if it is continuous at every point in its domain.
This is the definition of continuity that I will be using. Note that I made this choice because the domain of the mapping lies in the rationals with respect to the p-adic metric. Further, \mathbb{Q}_p and \mathbb{R} are both metric spaces - ie there is a very good notion of distance between two points in both sets. This idea is crucial to my solution.
Loosely, the definition above says that all points f(y) \in Y near f(x) \in Y have their preimages y \in X near x \in X.
In the question at hand, the function f maps points in the metric space \mathbb{Q}_p to points in \mathbb{R} - where \mathbb{R} is the metric space w.r.t to usual Euclidean metric.
For the function to be continuous the following must be satisfied: The point f(x) \in \mathbb{R} near f(x) \in \mathbb{R} must imply that y \in \mathbb{Q}_p is near x \in \mathbb{Q}_p.
Technically speaking, given an epsilon > 0 there must exist a delta > 0 such that d(x,y) < \delta \Rightarrow d(f(x),f(y)) < \epsilon.
But d(x,y) := |x-y|_p. That is, distance between two points with respect to the p-adic metric gets larger and larger as x gets closer and closer to y with respect to the Euclidean metric. So I can not always guarantee the existence of a positive, non-zero \delta for any given \epsilon. Therefore the mapping f is NOT continuous.
To make this clearer, the distance between two points x, y \in \mathbb{Q}_p actually gets larger as x and y become closer with respect to the Euclidean metric. So the preimages of 'close' points in \mathbb{R} are actually very far apart in \mathbb{Q}_p. This is the exact opposite of what it means for a function to be continuous.
How does this sound?
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