Showing $lim_{n to infty} L(f,P_n,[a,b]) = L(f,[a,b])$, where $P_n$ is partition of $[a,b]$ into $2^n$...












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Suppose $f : [a,b] to mathbb{R}$ is bounded. With a partition $P$ of the form $a = x_0, dots ,x_n = b$ of $[a,b]$, the lower Riemann sum is $L(f,P,[a,b]) := sum_{i=1}^{n} (x_i - x_{i-1}) inf_{[x_{i-1},x_i]} f$. Then the lower Riemann integral is $L(f,[a,b]) := sup_{P} L(f,P,[a,b])$; that is, the lower Riemann integral is the supremum over all the lower Riemann sums. Define the sequence $L(f,P_n,[a,b])$, where $P_n$ is the partition of $[a,b]$ obtained by splitting $[a,b]$ up into $2^n$ intervals of equal size. I want to prove that $lim_{n to infty} L(f,P_n,[a,b]) = L(f,[a,b])$.



Here's my approach so far: Since the list defining partition $P_{n-1}$ is a sublist of the list defining the partition $P_n$, we have $L(f, P_{n-1}, [a,b]) leq L(f,P_n, [a,b])$. That is, the sequence $L(f,P_n,[a,b])$ is monotone non-decreasing. Since it also has an upper bound of $L(f,[a,b])$, it follows from the monotone convergence theorem that $L(f,P_n,[a,b])$ is a convergent sequence, and it converges to the least upper bound of its terms. I need to prove that this limit is equal to $L(f,[a,b])$. This is where I am getting stuck.



Let the limit of $L(f,P_n,[a,b])$ be $l$. It is immediate that $l leq L(f,[a,b])$, because the supremum of a subset is at most the supremum of the original set. So I need just to show that $L(f,[a,b]) leq l$ to complete the proof. It is equivalent to show that for all $epsilon >0$, we have $L(f,[a,b]) > l - epsilon$. To this end, let $epsilon > 0$. Since $L(f,[a,b])$ is the supremum of the lower Riemann sums, there exists a partition $P$ of $[a,b]$ such that $L(f,P,[a,b]) > L(f,[a,b]) - frac{epsilon}{2}$. If I can show that there exists $N in mathbb{N}$ such that $L(f,P_N, [a,b]) geq L(f,[a,b])$ and $|L(f,P_N,[a,b]) - l| < frac{epsilon}{2}$, then I am done, since I will have as a consequence that $|l - L(f,[a,b])| < epsilon$, by the triangle inequality.



Intuitively, I want to use the triangle inequality to show a connection between four 'things'. Firstly, I have the sequence $L(f,P_n,[a,b])$, which is increasing (or at least non-decreasing) to $L(f,[a,b])$ as $n$ gets big. I know I can approximate $L(f,[a,b])$, the second thing, with a margin $epsilon$ of error, by $L(f,P,[a,b])$, the third thing, for some partition $P$. Then I just want to show that if I go far enough into the sequence $L(f,P_n,[a,b])$, the terms eventually get at least as big as $L(f,P,[a,b])$. Once they are at that threshold, the terms are within an $epsilon$ margin of error to $L(f,P,[a,b])$, and using the triangle inequality to get an upper bound on the distance between $l$, the fourth thing, and $L(f,[a,b])$, I would be finished. But how do I do this?










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    Suppose $f : [a,b] to mathbb{R}$ is bounded. With a partition $P$ of the form $a = x_0, dots ,x_n = b$ of $[a,b]$, the lower Riemann sum is $L(f,P,[a,b]) := sum_{i=1}^{n} (x_i - x_{i-1}) inf_{[x_{i-1},x_i]} f$. Then the lower Riemann integral is $L(f,[a,b]) := sup_{P} L(f,P,[a,b])$; that is, the lower Riemann integral is the supremum over all the lower Riemann sums. Define the sequence $L(f,P_n,[a,b])$, where $P_n$ is the partition of $[a,b]$ obtained by splitting $[a,b]$ up into $2^n$ intervals of equal size. I want to prove that $lim_{n to infty} L(f,P_n,[a,b]) = L(f,[a,b])$.



    Here's my approach so far: Since the list defining partition $P_{n-1}$ is a sublist of the list defining the partition $P_n$, we have $L(f, P_{n-1}, [a,b]) leq L(f,P_n, [a,b])$. That is, the sequence $L(f,P_n,[a,b])$ is monotone non-decreasing. Since it also has an upper bound of $L(f,[a,b])$, it follows from the monotone convergence theorem that $L(f,P_n,[a,b])$ is a convergent sequence, and it converges to the least upper bound of its terms. I need to prove that this limit is equal to $L(f,[a,b])$. This is where I am getting stuck.



    Let the limit of $L(f,P_n,[a,b])$ be $l$. It is immediate that $l leq L(f,[a,b])$, because the supremum of a subset is at most the supremum of the original set. So I need just to show that $L(f,[a,b]) leq l$ to complete the proof. It is equivalent to show that for all $epsilon >0$, we have $L(f,[a,b]) > l - epsilon$. To this end, let $epsilon > 0$. Since $L(f,[a,b])$ is the supremum of the lower Riemann sums, there exists a partition $P$ of $[a,b]$ such that $L(f,P,[a,b]) > L(f,[a,b]) - frac{epsilon}{2}$. If I can show that there exists $N in mathbb{N}$ such that $L(f,P_N, [a,b]) geq L(f,[a,b])$ and $|L(f,P_N,[a,b]) - l| < frac{epsilon}{2}$, then I am done, since I will have as a consequence that $|l - L(f,[a,b])| < epsilon$, by the triangle inequality.



    Intuitively, I want to use the triangle inequality to show a connection between four 'things'. Firstly, I have the sequence $L(f,P_n,[a,b])$, which is increasing (or at least non-decreasing) to $L(f,[a,b])$ as $n$ gets big. I know I can approximate $L(f,[a,b])$, the second thing, with a margin $epsilon$ of error, by $L(f,P,[a,b])$, the third thing, for some partition $P$. Then I just want to show that if I go far enough into the sequence $L(f,P_n,[a,b])$, the terms eventually get at least as big as $L(f,P,[a,b])$. Once they are at that threshold, the terms are within an $epsilon$ margin of error to $L(f,P,[a,b])$, and using the triangle inequality to get an upper bound on the distance between $l$, the fourth thing, and $L(f,[a,b])$, I would be finished. But how do I do this?










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      Suppose $f : [a,b] to mathbb{R}$ is bounded. With a partition $P$ of the form $a = x_0, dots ,x_n = b$ of $[a,b]$, the lower Riemann sum is $L(f,P,[a,b]) := sum_{i=1}^{n} (x_i - x_{i-1}) inf_{[x_{i-1},x_i]} f$. Then the lower Riemann integral is $L(f,[a,b]) := sup_{P} L(f,P,[a,b])$; that is, the lower Riemann integral is the supremum over all the lower Riemann sums. Define the sequence $L(f,P_n,[a,b])$, where $P_n$ is the partition of $[a,b]$ obtained by splitting $[a,b]$ up into $2^n$ intervals of equal size. I want to prove that $lim_{n to infty} L(f,P_n,[a,b]) = L(f,[a,b])$.



      Here's my approach so far: Since the list defining partition $P_{n-1}$ is a sublist of the list defining the partition $P_n$, we have $L(f, P_{n-1}, [a,b]) leq L(f,P_n, [a,b])$. That is, the sequence $L(f,P_n,[a,b])$ is monotone non-decreasing. Since it also has an upper bound of $L(f,[a,b])$, it follows from the monotone convergence theorem that $L(f,P_n,[a,b])$ is a convergent sequence, and it converges to the least upper bound of its terms. I need to prove that this limit is equal to $L(f,[a,b])$. This is where I am getting stuck.



      Let the limit of $L(f,P_n,[a,b])$ be $l$. It is immediate that $l leq L(f,[a,b])$, because the supremum of a subset is at most the supremum of the original set. So I need just to show that $L(f,[a,b]) leq l$ to complete the proof. It is equivalent to show that for all $epsilon >0$, we have $L(f,[a,b]) > l - epsilon$. To this end, let $epsilon > 0$. Since $L(f,[a,b])$ is the supremum of the lower Riemann sums, there exists a partition $P$ of $[a,b]$ such that $L(f,P,[a,b]) > L(f,[a,b]) - frac{epsilon}{2}$. If I can show that there exists $N in mathbb{N}$ such that $L(f,P_N, [a,b]) geq L(f,[a,b])$ and $|L(f,P_N,[a,b]) - l| < frac{epsilon}{2}$, then I am done, since I will have as a consequence that $|l - L(f,[a,b])| < epsilon$, by the triangle inequality.



      Intuitively, I want to use the triangle inequality to show a connection between four 'things'. Firstly, I have the sequence $L(f,P_n,[a,b])$, which is increasing (or at least non-decreasing) to $L(f,[a,b])$ as $n$ gets big. I know I can approximate $L(f,[a,b])$, the second thing, with a margin $epsilon$ of error, by $L(f,P,[a,b])$, the third thing, for some partition $P$. Then I just want to show that if I go far enough into the sequence $L(f,P_n,[a,b])$, the terms eventually get at least as big as $L(f,P,[a,b])$. Once they are at that threshold, the terms are within an $epsilon$ margin of error to $L(f,P,[a,b])$, and using the triangle inequality to get an upper bound on the distance between $l$, the fourth thing, and $L(f,[a,b])$, I would be finished. But how do I do this?










      share|cite|improve this question











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      Suppose $f : [a,b] to mathbb{R}$ is bounded. With a partition $P$ of the form $a = x_0, dots ,x_n = b$ of $[a,b]$, the lower Riemann sum is $L(f,P,[a,b]) := sum_{i=1}^{n} (x_i - x_{i-1}) inf_{[x_{i-1},x_i]} f$. Then the lower Riemann integral is $L(f,[a,b]) := sup_{P} L(f,P,[a,b])$; that is, the lower Riemann integral is the supremum over all the lower Riemann sums. Define the sequence $L(f,P_n,[a,b])$, where $P_n$ is the partition of $[a,b]$ obtained by splitting $[a,b]$ up into $2^n$ intervals of equal size. I want to prove that $lim_{n to infty} L(f,P_n,[a,b]) = L(f,[a,b])$.



      Here's my approach so far: Since the list defining partition $P_{n-1}$ is a sublist of the list defining the partition $P_n$, we have $L(f, P_{n-1}, [a,b]) leq L(f,P_n, [a,b])$. That is, the sequence $L(f,P_n,[a,b])$ is monotone non-decreasing. Since it also has an upper bound of $L(f,[a,b])$, it follows from the monotone convergence theorem that $L(f,P_n,[a,b])$ is a convergent sequence, and it converges to the least upper bound of its terms. I need to prove that this limit is equal to $L(f,[a,b])$. This is where I am getting stuck.



      Let the limit of $L(f,P_n,[a,b])$ be $l$. It is immediate that $l leq L(f,[a,b])$, because the supremum of a subset is at most the supremum of the original set. So I need just to show that $L(f,[a,b]) leq l$ to complete the proof. It is equivalent to show that for all $epsilon >0$, we have $L(f,[a,b]) > l - epsilon$. To this end, let $epsilon > 0$. Since $L(f,[a,b])$ is the supremum of the lower Riemann sums, there exists a partition $P$ of $[a,b]$ such that $L(f,P,[a,b]) > L(f,[a,b]) - frac{epsilon}{2}$. If I can show that there exists $N in mathbb{N}$ such that $L(f,P_N, [a,b]) geq L(f,[a,b])$ and $|L(f,P_N,[a,b]) - l| < frac{epsilon}{2}$, then I am done, since I will have as a consequence that $|l - L(f,[a,b])| < epsilon$, by the triangle inequality.



      Intuitively, I want to use the triangle inequality to show a connection between four 'things'. Firstly, I have the sequence $L(f,P_n,[a,b])$, which is increasing (or at least non-decreasing) to $L(f,[a,b])$ as $n$ gets big. I know I can approximate $L(f,[a,b])$, the second thing, with a margin $epsilon$ of error, by $L(f,P,[a,b])$, the third thing, for some partition $P$. Then I just want to show that if I go far enough into the sequence $L(f,P_n,[a,b])$, the terms eventually get at least as big as $L(f,P,[a,b])$. Once they are at that threshold, the terms are within an $epsilon$ margin of error to $L(f,P,[a,b])$, and using the triangle inequality to get an upper bound on the distance between $l$, the fourth thing, and $L(f,[a,b])$, I would be finished. But how do I do this?







      real-analysis riemann-integration






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      edited Nov 29 '18 at 14:25









      Brahadeesh

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      asked Nov 29 '18 at 10:33









      FChaosiFChaosi

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          The essential thing here is that $|P_n|to 0$.



          Use the standard inequality $$L(f,P)-L(f,Q) le 2,M,p, |Q|$$ where $M$ is an upper bound of $|f|$ and $p$ is the number of partition points of $P$.






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            Following up on your idea (which is good btw), I think you are only missing one small link in your chain of thought.



            You are approximating $L(f, [a,b])$ by $L(f,P ,[a,b])$ and you'd like to approximate $L(f,P, [a,b])$ by $L(f, P_n, [a,b])$. To do this, assume first that your partition $P$ looks like $P : x_0=a < x_1 <...<x_k=b$ for some fixed k. Then note that if n is sufficiently large, the intervals in the partition $P_n$ are either contained in the intervals $[x_i, x_{i+1}]$ from P, or they overlap with two consecutive intervals of the form $[x_i, x_{i+1}]$, $[x_{i+1}, x_{i+2}]$ from P. But(here is the key!) note that the overlaps are negligible(they can be made arbitrarily small) because f is bounded and because the lengths of these overlaps go to 0. Also note that if an interval from the $P_n$ partition is contained in an interval from $P$ its infimum is larger.






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            • $begingroup$
              Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
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              – Brahadeesh
              Nov 29 '18 at 14:22



















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            Let $P = { t_0,dots,t_n }$ be a partition of $[a,b]$, that is, $a = t_0 < t_1 < dots < t_n = b$. Let $N$ be a sufficiently large integer; in particular, let $2^{-(N+1)} > d$, where $d = max { t_i - t_{i-1} : 1 leq i leq n }$. Let $P_N = { s_0,dots,s_{2^N} }$.



            If for each $i$ we had that $t_i = s_{k}$ for some $k = k(i)$, then $P_N$ would be a refinement of $P$ and we could easily compare the the summations of $L(f,P,[a,b])$ and $L(f,P_N,[a,b])$ to conclude that $L(f,P_N,[a,b]) > L(f,P,[a,b])$.



            The difficulty arises when $t_i in (s_{k(i) - 1}, s_{k(i)})$ for some $k(i)$. In this case, what we can show is that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$, where $mathcal{E}_N to 0$ as $N to infty$. This will imply that $L(f,P,[a,b]) leq l$, so if we had chosen the partition $P$ so that $L(f,P,[a,b]) > L(f,[a,b]) - epsilon$, then we have $L(f,[a,b]) < l + epsilon$ as desired.



            The way to show that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$ is to compare the partition in $P_N$ lying between $t_i$ and $t_{i+1}$ and then dealing with the end points separately. The complete solution is given below.




            Let $m_j = inf { f(x) : s_{j-1} leq x leq s_{j} }$ and $tilde{m}_j = inf { f(x) : t_{j-1} leq x leq t_j }$. Let us start by comparing $$(t_i - t_{i-1}) tilde{m}_i$$ with $$sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j.$$
            Then, we have
            $$
            (t_i - t_{i-1}) = (s_{k(i-1)} - t_{i-1}) + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1}) right) + (t_i - s_{k(i)-1}).
            $$

            Then,
            $$
            begin{align*}
            (t_i - t_{i-1})tilde{m}_i &= (s_{k(i-1)} - t_{i-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})tilde{m}_i right) + (t_i - s_{k(i)-1})tilde{m}_i\
            &leq (s_{k(i-1)} - s_{k(i-1)-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})m_j right) + (s_{k(i)} - s_{k(i)-1})tilde{m}_i\
            end{align*}
            $$

            Now, in the first terms on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i-1)} + m_{k(i-1)})$. Similarly, in the third term on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i)} + m_{k(i)})$. Expand the brackets appropriately, collect the terms together appropriately, and use $s_j - s_{j-1} = 2^{-N}$ to get
            $$
            (t_i - t_{i-1})tilde{m}_i leq sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j
            + frac{tilde{m}_i - m_{k(i-1)}}{2^N} + frac{tilde{m}_i - m_{k(i)}}{2^N}.
            $$

            So, by summing over all $0 leq i leq n$, we get
            $$
            L(f,P,[a,b]) leq L(f,P_N,[a,b]) + 2 sum_{i = 0}^n frac{|m_{k(i)} - tilde{m}_i|}{2^N}.
            $$

            Since $f$ is bounded, $f(x) leq B$ for all $x in [a,b]$ for some $B > 0$. Thus, the error is no greater than $4nB/2^N$, which tends to $0$ as $N$ tends to infinity.







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              $begingroup$

              The essential thing here is that $|P_n|to 0$.



              Use the standard inequality $$L(f,P)-L(f,Q) le 2,M,p, |Q|$$ where $M$ is an upper bound of $|f|$ and $p$ is the number of partition points of $P$.






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                3












                $begingroup$

                The essential thing here is that $|P_n|to 0$.



                Use the standard inequality $$L(f,P)-L(f,Q) le 2,M,p, |Q|$$ where $M$ is an upper bound of $|f|$ and $p$ is the number of partition points of $P$.






                share|cite|improve this answer











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                  3












                  3








                  3





                  $begingroup$

                  The essential thing here is that $|P_n|to 0$.



                  Use the standard inequality $$L(f,P)-L(f,Q) le 2,M,p, |Q|$$ where $M$ is an upper bound of $|f|$ and $p$ is the number of partition points of $P$.






                  share|cite|improve this answer











                  $endgroup$



                  The essential thing here is that $|P_n|to 0$.



                  Use the standard inequality $$L(f,P)-L(f,Q) le 2,M,p, |Q|$$ where $M$ is an upper bound of $|f|$ and $p$ is the number of partition points of $P$.







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                  edited Jan 12 at 23:40

























                  answered Dec 16 '18 at 18:45









                  Tony PiccoloTony Piccolo

                  3,2152719




                  3,2152719























                      1












                      $begingroup$

                      Following up on your idea (which is good btw), I think you are only missing one small link in your chain of thought.



                      You are approximating $L(f, [a,b])$ by $L(f,P ,[a,b])$ and you'd like to approximate $L(f,P, [a,b])$ by $L(f, P_n, [a,b])$. To do this, assume first that your partition $P$ looks like $P : x_0=a < x_1 <...<x_k=b$ for some fixed k. Then note that if n is sufficiently large, the intervals in the partition $P_n$ are either contained in the intervals $[x_i, x_{i+1}]$ from P, or they overlap with two consecutive intervals of the form $[x_i, x_{i+1}]$, $[x_{i+1}, x_{i+2}]$ from P. But(here is the key!) note that the overlaps are negligible(they can be made arbitrarily small) because f is bounded and because the lengths of these overlaps go to 0. Also note that if an interval from the $P_n$ partition is contained in an interval from $P$ its infimum is larger.






                      share|cite|improve this answer









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                      • $begingroup$
                        Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                        $endgroup$
                        – Brahadeesh
                        Nov 29 '18 at 14:22
















                      1












                      $begingroup$

                      Following up on your idea (which is good btw), I think you are only missing one small link in your chain of thought.



                      You are approximating $L(f, [a,b])$ by $L(f,P ,[a,b])$ and you'd like to approximate $L(f,P, [a,b])$ by $L(f, P_n, [a,b])$. To do this, assume first that your partition $P$ looks like $P : x_0=a < x_1 <...<x_k=b$ for some fixed k. Then note that if n is sufficiently large, the intervals in the partition $P_n$ are either contained in the intervals $[x_i, x_{i+1}]$ from P, or they overlap with two consecutive intervals of the form $[x_i, x_{i+1}]$, $[x_{i+1}, x_{i+2}]$ from P. But(here is the key!) note that the overlaps are negligible(they can be made arbitrarily small) because f is bounded and because the lengths of these overlaps go to 0. Also note that if an interval from the $P_n$ partition is contained in an interval from $P$ its infimum is larger.






                      share|cite|improve this answer









                      $endgroup$













                      • $begingroup$
                        Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                        $endgroup$
                        – Brahadeesh
                        Nov 29 '18 at 14:22














                      1












                      1








                      1





                      $begingroup$

                      Following up on your idea (which is good btw), I think you are only missing one small link in your chain of thought.



                      You are approximating $L(f, [a,b])$ by $L(f,P ,[a,b])$ and you'd like to approximate $L(f,P, [a,b])$ by $L(f, P_n, [a,b])$. To do this, assume first that your partition $P$ looks like $P : x_0=a < x_1 <...<x_k=b$ for some fixed k. Then note that if n is sufficiently large, the intervals in the partition $P_n$ are either contained in the intervals $[x_i, x_{i+1}]$ from P, or they overlap with two consecutive intervals of the form $[x_i, x_{i+1}]$, $[x_{i+1}, x_{i+2}]$ from P. But(here is the key!) note that the overlaps are negligible(they can be made arbitrarily small) because f is bounded and because the lengths of these overlaps go to 0. Also note that if an interval from the $P_n$ partition is contained in an interval from $P$ its infimum is larger.






                      share|cite|improve this answer









                      $endgroup$



                      Following up on your idea (which is good btw), I think you are only missing one small link in your chain of thought.



                      You are approximating $L(f, [a,b])$ by $L(f,P ,[a,b])$ and you'd like to approximate $L(f,P, [a,b])$ by $L(f, P_n, [a,b])$. To do this, assume first that your partition $P$ looks like $P : x_0=a < x_1 <...<x_k=b$ for some fixed k. Then note that if n is sufficiently large, the intervals in the partition $P_n$ are either contained in the intervals $[x_i, x_{i+1}]$ from P, or they overlap with two consecutive intervals of the form $[x_i, x_{i+1}]$, $[x_{i+1}, x_{i+2}]$ from P. But(here is the key!) note that the overlaps are negligible(they can be made arbitrarily small) because f is bounded and because the lengths of these overlaps go to 0. Also note that if an interval from the $P_n$ partition is contained in an interval from $P$ its infimum is larger.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Nov 29 '18 at 13:55









                      Sorin TircSorin Tirc

                      1,755213




                      1,755213












                      • $begingroup$
                        Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                        $endgroup$
                        – Brahadeesh
                        Nov 29 '18 at 14:22


















                      • $begingroup$
                        Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                        $endgroup$
                        – Brahadeesh
                        Nov 29 '18 at 14:22
















                      $begingroup$
                      Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                      $endgroup$
                      – Brahadeesh
                      Nov 29 '18 at 14:22




                      $begingroup$
                      Indeed, I was struggling to express concisely why the overlaps must be negligible. A clear answer. +1
                      $endgroup$
                      – Brahadeesh
                      Nov 29 '18 at 14:22











                      0












                      $begingroup$

                      Let $P = { t_0,dots,t_n }$ be a partition of $[a,b]$, that is, $a = t_0 < t_1 < dots < t_n = b$. Let $N$ be a sufficiently large integer; in particular, let $2^{-(N+1)} > d$, where $d = max { t_i - t_{i-1} : 1 leq i leq n }$. Let $P_N = { s_0,dots,s_{2^N} }$.



                      If for each $i$ we had that $t_i = s_{k}$ for some $k = k(i)$, then $P_N$ would be a refinement of $P$ and we could easily compare the the summations of $L(f,P,[a,b])$ and $L(f,P_N,[a,b])$ to conclude that $L(f,P_N,[a,b]) > L(f,P,[a,b])$.



                      The difficulty arises when $t_i in (s_{k(i) - 1}, s_{k(i)})$ for some $k(i)$. In this case, what we can show is that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$, where $mathcal{E}_N to 0$ as $N to infty$. This will imply that $L(f,P,[a,b]) leq l$, so if we had chosen the partition $P$ so that $L(f,P,[a,b]) > L(f,[a,b]) - epsilon$, then we have $L(f,[a,b]) < l + epsilon$ as desired.



                      The way to show that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$ is to compare the partition in $P_N$ lying between $t_i$ and $t_{i+1}$ and then dealing with the end points separately. The complete solution is given below.




                      Let $m_j = inf { f(x) : s_{j-1} leq x leq s_{j} }$ and $tilde{m}_j = inf { f(x) : t_{j-1} leq x leq t_j }$. Let us start by comparing $$(t_i - t_{i-1}) tilde{m}_i$$ with $$sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j.$$
                      Then, we have
                      $$
                      (t_i - t_{i-1}) = (s_{k(i-1)} - t_{i-1}) + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1}) right) + (t_i - s_{k(i)-1}).
                      $$

                      Then,
                      $$
                      begin{align*}
                      (t_i - t_{i-1})tilde{m}_i &= (s_{k(i-1)} - t_{i-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})tilde{m}_i right) + (t_i - s_{k(i)-1})tilde{m}_i\
                      &leq (s_{k(i-1)} - s_{k(i-1)-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})m_j right) + (s_{k(i)} - s_{k(i)-1})tilde{m}_i\
                      end{align*}
                      $$

                      Now, in the first terms on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i-1)} + m_{k(i-1)})$. Similarly, in the third term on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i)} + m_{k(i)})$. Expand the brackets appropriately, collect the terms together appropriately, and use $s_j - s_{j-1} = 2^{-N}$ to get
                      $$
                      (t_i - t_{i-1})tilde{m}_i leq sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j
                      + frac{tilde{m}_i - m_{k(i-1)}}{2^N} + frac{tilde{m}_i - m_{k(i)}}{2^N}.
                      $$

                      So, by summing over all $0 leq i leq n$, we get
                      $$
                      L(f,P,[a,b]) leq L(f,P_N,[a,b]) + 2 sum_{i = 0}^n frac{|m_{k(i)} - tilde{m}_i|}{2^N}.
                      $$

                      Since $f$ is bounded, $f(x) leq B$ for all $x in [a,b]$ for some $B > 0$. Thus, the error is no greater than $4nB/2^N$, which tends to $0$ as $N$ tends to infinity.







                      share|cite|improve this answer









                      $endgroup$


















                        0












                        $begingroup$

                        Let $P = { t_0,dots,t_n }$ be a partition of $[a,b]$, that is, $a = t_0 < t_1 < dots < t_n = b$. Let $N$ be a sufficiently large integer; in particular, let $2^{-(N+1)} > d$, where $d = max { t_i - t_{i-1} : 1 leq i leq n }$. Let $P_N = { s_0,dots,s_{2^N} }$.



                        If for each $i$ we had that $t_i = s_{k}$ for some $k = k(i)$, then $P_N$ would be a refinement of $P$ and we could easily compare the the summations of $L(f,P,[a,b])$ and $L(f,P_N,[a,b])$ to conclude that $L(f,P_N,[a,b]) > L(f,P,[a,b])$.



                        The difficulty arises when $t_i in (s_{k(i) - 1}, s_{k(i)})$ for some $k(i)$. In this case, what we can show is that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$, where $mathcal{E}_N to 0$ as $N to infty$. This will imply that $L(f,P,[a,b]) leq l$, so if we had chosen the partition $P$ so that $L(f,P,[a,b]) > L(f,[a,b]) - epsilon$, then we have $L(f,[a,b]) < l + epsilon$ as desired.



                        The way to show that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$ is to compare the partition in $P_N$ lying between $t_i$ and $t_{i+1}$ and then dealing with the end points separately. The complete solution is given below.




                        Let $m_j = inf { f(x) : s_{j-1} leq x leq s_{j} }$ and $tilde{m}_j = inf { f(x) : t_{j-1} leq x leq t_j }$. Let us start by comparing $$(t_i - t_{i-1}) tilde{m}_i$$ with $$sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j.$$
                        Then, we have
                        $$
                        (t_i - t_{i-1}) = (s_{k(i-1)} - t_{i-1}) + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1}) right) + (t_i - s_{k(i)-1}).
                        $$

                        Then,
                        $$
                        begin{align*}
                        (t_i - t_{i-1})tilde{m}_i &= (s_{k(i-1)} - t_{i-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})tilde{m}_i right) + (t_i - s_{k(i)-1})tilde{m}_i\
                        &leq (s_{k(i-1)} - s_{k(i-1)-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})m_j right) + (s_{k(i)} - s_{k(i)-1})tilde{m}_i\
                        end{align*}
                        $$

                        Now, in the first terms on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i-1)} + m_{k(i-1)})$. Similarly, in the third term on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i)} + m_{k(i)})$. Expand the brackets appropriately, collect the terms together appropriately, and use $s_j - s_{j-1} = 2^{-N}$ to get
                        $$
                        (t_i - t_{i-1})tilde{m}_i leq sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j
                        + frac{tilde{m}_i - m_{k(i-1)}}{2^N} + frac{tilde{m}_i - m_{k(i)}}{2^N}.
                        $$

                        So, by summing over all $0 leq i leq n$, we get
                        $$
                        L(f,P,[a,b]) leq L(f,P_N,[a,b]) + 2 sum_{i = 0}^n frac{|m_{k(i)} - tilde{m}_i|}{2^N}.
                        $$

                        Since $f$ is bounded, $f(x) leq B$ for all $x in [a,b]$ for some $B > 0$. Thus, the error is no greater than $4nB/2^N$, which tends to $0$ as $N$ tends to infinity.







                        share|cite|improve this answer









                        $endgroup$
















                          0












                          0








                          0





                          $begingroup$

                          Let $P = { t_0,dots,t_n }$ be a partition of $[a,b]$, that is, $a = t_0 < t_1 < dots < t_n = b$. Let $N$ be a sufficiently large integer; in particular, let $2^{-(N+1)} > d$, where $d = max { t_i - t_{i-1} : 1 leq i leq n }$. Let $P_N = { s_0,dots,s_{2^N} }$.



                          If for each $i$ we had that $t_i = s_{k}$ for some $k = k(i)$, then $P_N$ would be a refinement of $P$ and we could easily compare the the summations of $L(f,P,[a,b])$ and $L(f,P_N,[a,b])$ to conclude that $L(f,P_N,[a,b]) > L(f,P,[a,b])$.



                          The difficulty arises when $t_i in (s_{k(i) - 1}, s_{k(i)})$ for some $k(i)$. In this case, what we can show is that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$, where $mathcal{E}_N to 0$ as $N to infty$. This will imply that $L(f,P,[a,b]) leq l$, so if we had chosen the partition $P$ so that $L(f,P,[a,b]) > L(f,[a,b]) - epsilon$, then we have $L(f,[a,b]) < l + epsilon$ as desired.



                          The way to show that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$ is to compare the partition in $P_N$ lying between $t_i$ and $t_{i+1}$ and then dealing with the end points separately. The complete solution is given below.




                          Let $m_j = inf { f(x) : s_{j-1} leq x leq s_{j} }$ and $tilde{m}_j = inf { f(x) : t_{j-1} leq x leq t_j }$. Let us start by comparing $$(t_i - t_{i-1}) tilde{m}_i$$ with $$sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j.$$
                          Then, we have
                          $$
                          (t_i - t_{i-1}) = (s_{k(i-1)} - t_{i-1}) + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1}) right) + (t_i - s_{k(i)-1}).
                          $$

                          Then,
                          $$
                          begin{align*}
                          (t_i - t_{i-1})tilde{m}_i &= (s_{k(i-1)} - t_{i-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})tilde{m}_i right) + (t_i - s_{k(i)-1})tilde{m}_i\
                          &leq (s_{k(i-1)} - s_{k(i-1)-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})m_j right) + (s_{k(i)} - s_{k(i)-1})tilde{m}_i\
                          end{align*}
                          $$

                          Now, in the first terms on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i-1)} + m_{k(i-1)})$. Similarly, in the third term on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i)} + m_{k(i)})$. Expand the brackets appropriately, collect the terms together appropriately, and use $s_j - s_{j-1} = 2^{-N}$ to get
                          $$
                          (t_i - t_{i-1})tilde{m}_i leq sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j
                          + frac{tilde{m}_i - m_{k(i-1)}}{2^N} + frac{tilde{m}_i - m_{k(i)}}{2^N}.
                          $$

                          So, by summing over all $0 leq i leq n$, we get
                          $$
                          L(f,P,[a,b]) leq L(f,P_N,[a,b]) + 2 sum_{i = 0}^n frac{|m_{k(i)} - tilde{m}_i|}{2^N}.
                          $$

                          Since $f$ is bounded, $f(x) leq B$ for all $x in [a,b]$ for some $B > 0$. Thus, the error is no greater than $4nB/2^N$, which tends to $0$ as $N$ tends to infinity.







                          share|cite|improve this answer









                          $endgroup$



                          Let $P = { t_0,dots,t_n }$ be a partition of $[a,b]$, that is, $a = t_0 < t_1 < dots < t_n = b$. Let $N$ be a sufficiently large integer; in particular, let $2^{-(N+1)} > d$, where $d = max { t_i - t_{i-1} : 1 leq i leq n }$. Let $P_N = { s_0,dots,s_{2^N} }$.



                          If for each $i$ we had that $t_i = s_{k}$ for some $k = k(i)$, then $P_N$ would be a refinement of $P$ and we could easily compare the the summations of $L(f,P,[a,b])$ and $L(f,P_N,[a,b])$ to conclude that $L(f,P_N,[a,b]) > L(f,P,[a,b])$.



                          The difficulty arises when $t_i in (s_{k(i) - 1}, s_{k(i)})$ for some $k(i)$. In this case, what we can show is that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$, where $mathcal{E}_N to 0$ as $N to infty$. This will imply that $L(f,P,[a,b]) leq l$, so if we had chosen the partition $P$ so that $L(f,P,[a,b]) > L(f,[a,b]) - epsilon$, then we have $L(f,[a,b]) < l + epsilon$ as desired.



                          The way to show that $L(f,P,[a,b]) leq L(f,P_N,[a,b]) + mathcal{E}_N$ is to compare the partition in $P_N$ lying between $t_i$ and $t_{i+1}$ and then dealing with the end points separately. The complete solution is given below.




                          Let $m_j = inf { f(x) : s_{j-1} leq x leq s_{j} }$ and $tilde{m}_j = inf { f(x) : t_{j-1} leq x leq t_j }$. Let us start by comparing $$(t_i - t_{i-1}) tilde{m}_i$$ with $$sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j.$$
                          Then, we have
                          $$
                          (t_i - t_{i-1}) = (s_{k(i-1)} - t_{i-1}) + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1}) right) + (t_i - s_{k(i)-1}).
                          $$

                          Then,
                          $$
                          begin{align*}
                          (t_i - t_{i-1})tilde{m}_i &= (s_{k(i-1)} - t_{i-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})tilde{m}_i right) + (t_i - s_{k(i)-1})tilde{m}_i\
                          &leq (s_{k(i-1)} - s_{k(i-1)-1})tilde{m}_i + left( sum_{k(i-1) < j < k(i)} (s_j - s_{j-1})m_j right) + (s_{k(i)} - s_{k(i)-1})tilde{m}_i\
                          end{align*}
                          $$

                          Now, in the first terms on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i-1)} + m_{k(i-1)})$. Similarly, in the third term on the RHS replace $tilde{m}_i$ with $(tilde{m}_i - m_{k(i)} + m_{k(i)})$. Expand the brackets appropriately, collect the terms together appropriately, and use $s_j - s_{j-1} = 2^{-N}$ to get
                          $$
                          (t_i - t_{i-1})tilde{m}_i leq sum_{k(i-1) leq j leq k(i)} (s_j - s_{j-1}) m_j
                          + frac{tilde{m}_i - m_{k(i-1)}}{2^N} + frac{tilde{m}_i - m_{k(i)}}{2^N}.
                          $$

                          So, by summing over all $0 leq i leq n$, we get
                          $$
                          L(f,P,[a,b]) leq L(f,P_N,[a,b]) + 2 sum_{i = 0}^n frac{|m_{k(i)} - tilde{m}_i|}{2^N}.
                          $$

                          Since $f$ is bounded, $f(x) leq B$ for all $x in [a,b]$ for some $B > 0$. Thus, the error is no greater than $4nB/2^N$, which tends to $0$ as $N$ tends to infinity.








                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Nov 29 '18 at 14:19









                          BrahadeeshBrahadeesh

                          6,35442363




                          6,35442363






























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