What is the key to proving continuity using rational numbers?

In summary, the two problems involve proving that if a continuous function on a given domain equals 0 for all rational numbers, then it equals 0 for all numbers in that domain. This can be approached by using the definition of continuity or by considering the limit of a sequence of rational numbers converging to a given number.
  • #1
steelphantom
159
0
Two problems, actually, but they are very similar. Here goes:

Homework Statement


Let f be a continuous real-valued function with domain (a, b). Show that if f(r) = 0 for each rational number r in (a, b,), then f(x) = 0 for all x in (a, b).

Homework Equations



The Attempt at a Solution




Homework Statement


Let f and g be continuous real-valued functions on (a, b) such that f(r) = g(r) for each rational number r in (a, b). Prove that f(x) = g(x) for all x in (a, b).

Homework Equations



The Attempt at a Solution



Alright, well I'm thinking I should approach both of these problems in pretty much the same way. I know the following theorem, but I'm not sure where to go from here: "f is continuous at x_0 in dom(f) iff for each epsilon > 0 there exists delta > 0 such that x in dom(f) and |x - x_0| < delta imply |f(x) - f(x_0)| < epsilon.

Any ideas? Thanks!
 
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  • #2
For any delta>0 there is a rational number in the interval |x-x0|<delta. What does that tell you about f(x0)?
 
  • #3
Another way to do this is to use the fact that [itex]\lim_{x\rightarrow a} f(x)= \lim_{n\rightarrow \infty} f(x_n)[/itex] where [itex]{x_n}[/itex] is any sequence of numbers converging to a. In particular, there always exist a sequence of rational numbers converging to a.
 

What is continuity in real analysis?

In real analysis, continuity refers to the property of a function where small changes in the input result in small changes in the output. In other words, a function is continuous if it does not have any sudden jumps or breaks in its graph.

How is continuity different from differentiability?

Continuity and differentiability are related concepts but are not the same. A function is continuous if it has no breaks or jumps, while a function is differentiable if it has a well-defined derivative at every point. In other words, a function can be continuous without being differentiable, but a function cannot be differentiable without being continuous.

What is the epsilon-delta definition of continuity?

The epsilon-delta definition of continuity is a mathematical concept used to formally define continuity. It states that a function f(x) is continuous at a point x=a if for any positive number ε, there exists a positive number δ such that for all values of x within δ of a, the output of f(x) will be within ε of the output of f(a).

How can we determine if a function is continuous on a closed interval?

A function is continuous on a closed interval [a, b] if it is continuous at every point within the interval and also at the endpoints a and b. This means that the function must have no breaks or jumps within the interval and must also approach the same value from both sides at the endpoints.

What are some common examples of continuous and non-continuous functions?

Some common examples of continuous functions include polynomials, trigonometric functions, and exponential functions. Some common examples of non-continuous functions include step functions, piecewise functions, and functions with removable or infinite discontinuities.

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