From: Maury Barbato on 5 Aug 2010 01:41 Hello, could someone help me prove the following theorem? Let H be a compact convex set in R^k, with non empty interior, and f a real function in C(H). Put f(x) = 0 in the complement of H, and define int_H f dx = int_{I^k} f dx, where I^k is a k-cell containing H. Then the integral on the right side is well defined and it does not depend on the order the k integrations are carried out. Thank you very much for your attention. My Best Regards, Maury Barbato PS This is an exercise in Rudin, Principles of Mathematical Analysis (Exercise 1 in Chapter 10), and it requires some explanations. You are not allowed to use integration theory. All that you know is the following. Let I^k be the k-cell in R^k defined be the inequalities a_i <= x_i <= b_i (i=1,...,k). For every real function in C(I^k) define f = f_k, and f_{k-1} (x_1,..,x_{k-1}) = int_{a_k to b_k} f dx_k. Since f is uniformly continuous in I^k, f_{k-1} is continuous. So you can repeat the process. After k steps you arrive to a number f_0, and you set int_{I^k} f dx = f_0. You also know (Theorem 10.2 at page 246 of Rudin) that for every f in C(I^k), int_{I^k} f dx does not depend on the order the k integrations are carried out. Now, note that in our problem, f is in C(H), but of course it can be discountuous in I^k. So neither the existence of the integral nor its independence of the order of integration are trivial. Rudin gives the following hint: approximate H by continuous functions on R^k whose support is contained in H. Actually he uses a similar technique in Example 10.4 at page 247, but I can't see how it can works here. Though the exercise is thought to be trivial, I don't know anyone who could solve it without using integration theory!
From: David C. Ullrich on 5 Aug 2010 11:05 On Thu, 05 Aug 2010 05:41:30 EDT, Maury Barbato <mauriziobarbato(a)aruba.it> wrote: >Hello, >could someone help me prove the following theorem? > >Let H be a compact convex set in R^k, with non empty >interior, and f a real function in C(H). Put f(x) = 0 >in the complement of H, and define > >int_H f dx = int_{I^k} f dx, > >where I^k is a k-cell containing H. Then the integral >on the right side is well defined and it does not >depend on the order the k integrations are carried out. ??? This is immediate from Fubini's Theorem. Are you stuck on some detail regarding the hypotheses of FT or something? Or maybe you want a proof involving only the Riemann integral? If so, (i) why? The Lebesgue integral works better. (ii) It seems a simply modification of the standard proof for f continuous on I^k should suffice: Say k = 2 and H is a compact subset of (0,1)^2. For each x let H_x be the set of y such that (x,y) is in H, and let f_x(y) = f(x,y). Then there exists [a,b] contained in (0,1) such that H_x = [a,b] and so that f_x is continuous on [a,b] and vanishes off [a,b]. Hence F(x) = int_0,1 f_x(y) dy exists. It shouldn't be hard to show that F is also continuous on some compact subinterval of (0,1) and vanishes off this subinterval, so the iterated intergral exists. To show the two iterated integrals are equal, again modify the proof for functions continuous on [0,1]^2, showing that the iterated integral is equal to the 2-dimensional Riemann integral. The proof should be the same, using the uniform continuity of f on H, except for a little fudge factor: Divide (0,1)^2 into n^s squares of equal size. It shouldn't be too hard to show(???) that at most O(n) of these squares intersect the boundarty of H. So those squares contribute at most O(1/n) to the 2-d integral and at most O(1/n) to the iterated integral. Otoh uniform continuity shows that the rest of the 2-d Riemann sum is withing epsilon of the corresponding part of the iterated integral... >Thank you very much for your attention. >My Best Regards, >Maury Barbato > > > > >PS This is an exercise in Rudin, Principles of >Mathematical Analysis (Exercise 1 in Chapter 10), and >it requires some explanations. >You are not allowed to use integration theory. All that >you know is the following. > >Let I^k be the k-cell in R^k defined be the inequalities > >a_i <= x_i <= b_i (i=1,...,k). > >For every real function in C(I^k) define f = f_k, and > >f_{k-1} (x_1,..,x_{k-1}) = int_{a_k to b_k} f dx_k. > >Since f is uniformly continuous in I^k, f_{k-1} is >continuous. So you can repeat the process. After k steps >you arrive to a number f_0, and you set > >int_{I^k} f dx = f_0. > >You also know (Theorem 10.2 at page 246 of Rudin) that >for every f in C(I^k), int_{I^k} f dx does not depend >on the order the k integrations are carried out. > >Now, note that in our problem, f is in C(H), but of >course it can be discountuous in I^k. So neither the >existence of the integral nor its independence of the >order of integration are trivial. Rudin gives the >following hint: approximate H by continuous functions >on R^k whose support is contained in H. Actually he uses >a similar technique in Example 10.4 at page 247, but >I can't see how it can works here. > >Though the exercise is thought to be trivial, I don't >know anyone who could solve it without using integration >theory!
From: Maury Barbato on 5 Aug 2010 08:33 David Ullrich wrote: > On Thu, 05 Aug 2010 05:41:30 EDT, Maury Barbato > <mauriziobarbato(a)aruba.it> wrote: > > >Hello, > >could someone help me prove the following theorem? > > > >Let H be a compact convex set in R^k, with non empty > >interior, and f a real function in C(H). Put f(x) = > 0 > >in the complement of H, and define > > > >int_H f dx = int_{I^k} f dx, > > > >where I^k is a k-cell containing H. Then the > integral > >on the right side is well defined and it does not > >depend on the order the k integrations are carried > out. > > ??? This is immediate from Fubini's Theorem. Are > you stuck on some detail regarding the hypotheses of > FT or something? > > Or maybe you want a proof involving only the Riemann > integral? If so, (i) why? The Lebesgue integral works > better. (ii) It seems a simply modification of the > standard > proof for f continuous on I^k should suffice: > > Say k = 2 and H is a compact subset of (0,1)^2. > For each x let H_x be the set of y such that (x,y) is > in H, and let f_x(y) = f(x,y). Then there exists > [a,b] contained in (0,1) such that H_x = [a,b] > and so that f_x is continuous on [a,b] and > vanishes off [a,b]. Hence > > F(x) = int_0,1 f_x(y) dy > > exists. It shouldn't be hard to show that F is also > continuous on some compact subinterval of (0,1) > and vanishes off this subinterval, so the iterated > intergral exists. > > To show the two iterated integrals are equal, > again modify the proof for functions continuous > on [0,1]^2, showing that the iterated integral > is equal to the 2-dimensional Riemann integral. > The proof should be the same, using the uniform > continuity of f on H, except for a little fudge > factor: > Divide (0,1)^2 into n^s squares of equal size. > It shouldn't be too hard to show(???) that at > most O(n) of these squares intersect the > boundarty of H. So those squares contribute > at most O(1/n) to the 2-d integral and at > most O(1/n) to the iterated integral. Otoh > uniform continuity shows that the rest of the > 2-d Riemann sum is withing epsilon of the > corresponding part of the iterated integral... > > > > >Thank you very much for your attention. > >My Best Regards, > >Maury Barbato > > > > > > > > > >PS This is an exercise in Rudin, Principles of > >Mathematical Analysis (Exercise 1 in Chapter 10), > and > >it requires some explanations. > >You are not allowed to use integration theory. All > that > >you know is the following. > > > >Let I^k be the k-cell in R^k defined be the > inequalities > > > >a_i <= x_i <= b_i (i=1,...,k). > > > >For every real function in C(I^k) define f = f_k, > and > > > >f_{k-1} (x_1,..,x_{k-1}) = int_{a_k to b_k} f dx_k. > > > >Since f is uniformly continuous in I^k, f_{k-1} is > >continuous. So you can repeat the process. After k > steps > >you arrive to a number f_0, and you set > > > >int_{I^k} f dx = f_0. > > > >You also know (Theorem 10.2 at page 246 of Rudin) > that > >for every f in C(I^k), int_{I^k} f dx does not > depend > >on the order the k integrations are carried out. > > > >Now, note that in our problem, f is in C(H), but of > >course it can be discountuous in I^k. So neither the > > >existence of the integral nor its independence of > the > >order of integration are trivial. Rudin gives the > >following hint: approximate H by continuous > functions > >on R^k whose support is contained in H. Actually he > uses > >a similar technique in Example 10.4 at page 247, but > >I can't see how it can works here. > > > >Though the exercise is thought to be trivial, I > don't > >know anyone who could solve it without using > integration > >theory! > Thank you, prof. Ullrich for the reply, but if you had read the PS of my post ... I state precisely that no integration theory is allowed. All that you know is Riemann integration in one dimension and the few facts I recollected in my PS: this is the conundrum of Rudin exercise! Rudin suggests to proceed as in his specific example, which I reproduce here. Let H be the k-simplex in R^k defined by the inequalities x_1 + ... + x_k <= 1, x_i >= 0 (i=1,...,k), and f a real function in C(H). Define f(x) = 0 in the complement of H.Now let I^k be the unit cube defined by 0 <= x_i <= 1 (i=1,...,k). Suppose 0 < d < 1, and put g(t) = 1 if t <= 1 - d g(t) = (1-t)/d if 1-d < t <= 1 g(t) = 0 if 1 < t and define F(x) = g(x_1 + ... + x_k)*f(x) for every x in I^k. So F is in C(I^k). Put y=(x_1,...,x_{k-1}), and x=(y,x_k). For each y in I^(k-1), the set of all x_k such that F(y,x_k) =/= f(y,x_k) is contained in a segment whose length does not exceed d. Since 0 <= g <= 1, it follows that (I) |F_{k-1}(y) - f_{k-1}(y)| < d*||f||, where ||f|| is the maximum of f over I^k, and F_{k-1}(y) = int_{0 to 1} F dx_k f_{k-1}(y) = int_{0 to 1} f dx_k. As d -> 0, (I) exhibits f_{k-1} as a uniform limit of continuous functions. Thus f_{k-1} is in C(I^(k-1)), and further integration present no problem. This proves the existence of the integral int_{I^k} f dx. Moreover (I) shows that (II) |int_{I^k} F dx - int_{I^k} f dx| <= d ||f||. Note that this inequaity is true, regardless of the order in which the k single integrations are carried out (repeat the preceding argument replacing x_k with x_i, and then making the other (k-1) integrations to show that (II) holds). Since F is in C(I^k), then for the Theorem 10.2 (see my PS), int F is unaffected by any change in this order. Hence (II) shows that the same is true of int f. QED The problem is that it seems me quite hard to generalize this argument to deal with a generic compact convex set. Best Regards, Maury Barbato
From: achille on 6 Aug 2010 00:30 On Aug 6, 12:33 am, Maury Barbato <mauriziobarb...(a)aruba.it> wrote: > > The problem is that it seems me quite hard to generalize > this argument to deal with a generic compact convex set. > > Best Regards, > Maury Barbato First, I don't know these stuff but how about this: Define a function \rho(x) on R^n by \rho(x) = inf { | x - z | : z \in R^n \ H } ie. \rho(x) measures how 'deep' a point x lies inside H. It is easy to check \rho(x) is continuous over R^n with support \subset H. If we can find a way to bound the 'volume' of the sets V_\epsilon := { x \in H : \rho(x) < \epsilon }. we can potentially let the function min( \rho(x)/\epsilon, 1 ) takes the role of g(.) in Rudin's example. For simplicity, let us assume H contains B(0,r), a ball of radius r centered at origin 0, in its interior. For any 0 < \lambda < 1, it is easy to show \rho(x) >= (1-\lambda) r on \lambda H := { \lambda z : z \in H }. This means when \epsilon < r, we can 'sandwich' V_\epsilon between H and (1 - \epsilon/r) H, ie. V_\epsilon \subset H \ ( 1 - \epsilon/r) H and hence obtain a bound of its 'volume'.
From: Chip Eastham on 6 Aug 2010 01:07 On Aug 5, 12:33 pm, Maury Barbato <mauriziobarb...(a)aruba.it> wrote: > David Ullrich wrote: > > On Thu, 05 Aug 2010 05:41:30 EDT, Maury Barbato > > <mauriziobarb...(a)aruba.it> wrote: > > > >Hello, > > >could someone help me prove the following theorem? > > > >Let H be a compact convex set in R^k, with non empty > > >interior, and f a real function in C(H). Put f(x) = > > 0 > > >in the complement of H, and define > > > >int_H f dx = int_{I^k} f dx, > > > >where I^k is a k-cell containing H. Then the > > integral > > >on the right side is well defined and it does not > > >depend on the order the k integrations are carried > > out. > > > ??? This is immediate from Fubini's Theorem. Are > > you stuck on some detail regarding the hypotheses of > > FT or something? > > > Or maybe you want a proof involving only the Riemann > > integral? If so, (i) why? The Lebesgue integral works > > better. (ii) It seems a simply modification of the > > standard > > proof for f continuous on I^k should suffice: > > > Say k = 2 and H is a compact subset of (0,1)^2. > > For each x let H_x be the set of y such that (x,y) is > > in H, and let f_x(y) = f(x,y). Then there exists > > [a,b] contained in (0,1) such that H_x = [a,b] > > and so that f_x is continuous on [a,b] and > > vanishes off [a,b]. Hence > > > F(x) = int_0,1 f_x(y) dy > > > exists. It shouldn't be hard to show that F is also > > continuous on some compact subinterval of (0,1) > > and vanishes off this subinterval, so the iterated > > intergral exists. > > > To show the two iterated integrals are equal, > > again modify the proof for functions continuous > > on [0,1]^2, showing that the iterated integral > > is equal to the 2-dimensional Riemann integral. > > The proof should be the same, using the uniform > > continuity of f on H, except for a little fudge > > factor: > > Divide (0,1)^2 into n^s squares of equal size. > > It shouldn't be too hard to show(???) that at > > most O(n) of these squares intersect the > > boundarty of H. So those squares contribute > > at most O(1/n) to the 2-d integral and at > > most O(1/n) to the iterated integral. Otoh > > uniform continuity shows that the rest of the > > 2-d Riemann sum is withing epsilon of the > > corresponding part of the iterated integral... > > > >Thank you very much for your attention. > > >My Best Regards, > > >Maury Barbato > > > >PS This is an exercise in Rudin, Principles of > > >Mathematical Analysis (Exercise 1 in Chapter 10), > > and > > >it requires some explanations. > > >You are not allowed to use integration theory. All > > that > > >you know is the following. > > > >Let I^k be the k-cell in R^k defined be the > > inequalities > > > >a_i <= x_i <= b_i (i=1,...,k). > > > >For every real function in C(I^k) define f = f_k, > > and > > > >f_{k-1} (x_1,..,x_{k-1}) = int_{a_k to b_k} f dx_k. > > > >Since f is uniformly continuous in I^k, f_{k-1} is > > >continuous. So you can repeat the process. After k > > steps > > >you arrive to a number f_0, and you set > > > >int_{I^k} f dx = f_0. > > > >You also know (Theorem 10.2 at page 246 of Rudin) > > that > > >for every f in C(I^k), int_{I^k} f dx does not > > depend > > >on the order the k integrations are carried out. > > > >Now, note that in our problem, f is in C(H), but of > > >course it can be discountuous in I^k. So neither the > > > >existence of the integral nor its independence of > > the > > >order of integration are trivial. Rudin gives the > > >following hint: approximate H by continuous > > functions > > >on R^k whose support is contained in H. Actually he > > uses > > >a similar technique in Example 10.4 at page 247, but > > >I can't see how it can works here. > > > >Though the exercise is thought to be trivial, I > > don't > > >know anyone who could solve it without using > > integration > > >theory! > > Thank you, prof. Ullrich for the reply, but if you > had read the PS of my post ... I state precisely > that no integration theory is allowed. All that you > know is Riemann integration in one dimension and the > few facts I recollected in my PS: this is the conundrum > of Rudin exercise! > > Rudin suggests to proceed as in his specific example, > which I reproduce here. Let H be the k-simplex in R^k > defined by the inequalities > > x_1 + ... + x_k <= 1, > > x_i >= 0 (i=1,...,k), > > and f a real function in C(H). Define f(x) = 0 in the > complement of H.Now let I^k be the unit cube defined by > > 0 <= x_i <= 1 (i=1,...,k). > > Suppose 0 < d < 1, and put > > g(t) = 1 if t <= 1 - d > > g(t) = (1-t)/d if 1-d < t <= 1 > > g(t) = 0 if 1 < t > > and define > > F(x) = g(x_1 + ... + x_k)*f(x) > > for every x in I^k. So F is in C(I^k). > Put y=(x_1,...,x_{k-1}), and x=(y,x_k). For each y in > I^(k-1), the set of all x_k such that > > F(y,x_k) =/= f(y,x_k) > > is contained in a segment whose length does not exceed d. > Since 0 <= g <= 1, it follows that > > (I) |F_{k-1}(y) - f_{k-1}(y)| < d*||f||, > > where ||f|| is the maximum of f over I^k, and > > F_{k-1}(y) = int_{0 to 1} F dx_k > > f_{k-1}(y) = int_{0 to 1} f dx_k. > > As d -> 0, (I) exhibits f_{k-1} as a uniform limit > of continuous functions. Thus f_{k-1} is in C(I^(k-1)), > and further integration present no problem. This proves > the existence of the integral > > int_{I^k} f dx. > > Moreover (I) shows that > > (II) |int_{I^k} F dx - int_{I^k} f dx| <= d ||f||. > > Note that this inequaity is true, regardless of the order > in which the k single integrations are carried out > (repeat the preceding argument replacing x_k with x_i, > and then making the other (k-1) integrations to show that > (II) holds). Since F is in C(I^k), then for the Theorem > 10.2 (see my PS), int F is unaffected by any change in > this order. Hence (II) shows that the same is true of > int f. > QED > > The problem is that it seems me quite hard to generalize > this argument to deal with a generic compact convex set. > > Best Regards, > Maury Barbato It seems to me that the "missing ingredient" you need is the ability to decompose an arbitrary convex subset of R^k with nonempty interior into one or more k-simplices, which you've already shown (taking Rudin's hint) can be integrated. This is more or less an induction on dimension k. Given a decomposition of the boundary into {k-1}- simplices, pick a point in the interior of the convex subset of R^k and use that against each boundary {k-1}-simplex to get the induction step. regards, chip
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