What is the Total Variation of a Convergent Sequence of Functions on [0,1]?

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In summary, we are given a sequence of functions f_n and a function f on the interval [0,1]. We need to prove two things: a) the total variation of f is less than or equal to the limit inferior of the total variations of the f_n, and b) if each f_n is absolutely continuous with a total variation of at most 1, then the total variation of f is equal to the limit of the total variations of the f_n. To prove this, we use Fatou's Lemma and the definition of total variation. We also consider the case where the f_n are not of bounded variation.
  • #1
bham10246
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Homework Statement


Let [itex]f_n, f: [0,1]\rightarrow \mathbb{R}[/itex], and [itex]f_n(x)\rightarrow f(x)[/itex] for each [itex]x \in [0,1][/itex].

I need to show the following two things:
a. [itex]T_0^1(f)\leq \lim\inf_{n\rightarrow \infty} T_0^1(f_n)[/itex], and

b. if each [itex]f_n[/itex] is absolutely continuous and [itex]T_0^1(f_n)\leq 1[/itex] for each [itex]n[/itex], then [itex]T_0^1(f) = \lim_{n\rightarrow \infty} T_0^1(f_n)[/itex].



Homework Equations



We denote [itex]T_0^1(f)[/itex] as the total variation of f on [itex][0,1][/itex].




The Attempt at a Solution



a.
If [itex]f_n[/itex] is not of bounded variation, then [itex]T_0^1(f_n)=\infty[/itex] and we're done.

So assume [itex]f_n[/itex] is of bounded variation. Then since [itex]f_n(x) \rightarrow f(x)[/itex] for each x, then for a partition [itex]0=t_0 < t_1 < ... < t_N= 1 [/itex],

[itex] |f_n(t_j)-f_n(t_{j-1})| \rightarrow |f(t_j)-f(t_{j-1})| [/itex].

So [itex] \sum_j|f_n(t_j)-f_n(t_{j-1})| \rightarrow \sum_j |f(t_j)-f(t_{j-1})| [/itex].
Take the sup from both sides and so we have [itex]T_0^1(f_n)\rightarrow T_0^1(f)[/itex].

I would like to use Fatou's at some point but I would like some hints on how to change the idea of total variation into a sequence of nonnegative measurable functions...
 
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  • #2
fn are bounded. Let L be a lower bound for all n.

If L > 0, then all fn are positive.

If L < 0, then you can define gn = fn - L > 0.

If fn is (abs.) cont. then it is measurable (i.e. Borel).
 
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  • #3
Definition of Total Variation: Let f(t) be complex-valued function defined on the interval [0,1]. Let [itex]P: 0=t_0 < t_1 < ... < t_N = 1 [/itex] be a partition of the unit interval. Then
[itex]T_0^1(f) = \sup_{P} \:\sum_{i} |f(t_i)-f(t_i-1)| [/itex]
where we take the supremum over all partitions of the unit interval.

Fatou's Lemma: Let [itex]\{f_n\}_n [/itex] be a sequence of nonnegative measurable functions on [0,1]. Assume [itex]f_n(x)\rightarrow f(x)[/itex] for almost all x. Then
[itex]\int f \leq \lim\inf_{n\rightarrow \infty} \int f_n[/itex].
 
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FAQ: What is the Total Variation of a Convergent Sequence of Functions on [0,1]?

What is the definition of total variation?

The total variation of a function f on a closed interval [a,b] is defined as the sum of the absolute values of the differences between consecutive function values over subintervals of [a,b]. In other words, it measures the overall change or variability of the function within the given interval.

How is total variation related to the concept of continuity?

Total variation is closely related to the concept of continuity, as a function is said to be continuous on an interval if and only if its total variation on that interval is finite. Intuitively, this means that the function does not have any abrupt changes or discontinuities within the given interval.

Can total variation be negative?

No, total variation is always a non-negative value. This is because it is defined as the sum of absolute values, which are always positive. In other words, it represents a measure of magnitude rather than direction.

How is total variation used in real-world applications?

Total variation is a useful concept in many fields, including physics, economics, and signal processing. It can be used to analyze and characterize the smoothness or regularity of a function, as well as to detect abrupt changes or anomalies in data.

Are there any limitations to using total variation?

One limitation of total variation is that it does not take into account the actual values of the function, only their differences. This means that functions with the same total variation may have very different shapes and behaviors. Additionally, total variation may not be a suitable measure for functions with very large or infinite discontinuities.

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