Proving $int_limitsa^bF(x)dx=sum_limitsn=k^inftyint_limitsa^bf_n(x)dx$

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I came by the following theorem on a book that did not provide any proof.




Theorem: Suppose that $sum_limitsn=k^inftyf_n$ converges uniformly to $F$ on $S=[a,b]$. Assume that $F$ and $f_n::,ngeqslant k$, are integrable on $[a,b]$. Then:



$int_limitsa^bF(x)dx=sum_limitsn=k^inftyint_limitsa^bf_n(x)dx$




Since it is admitted that each $f_n$ is integrable I guess that each function could be integrated in the sum. However I fail to see a proof of the theorem.



Question:



How should I prove the claim?



Thanks in advance!







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  • Which book are you referring to?
    – uniquesolution
    Jul 20 at 12:54










  • @uniquesolution Introduction to Real Analysis by William Trench.
    – Pedro Gomes
    Jul 20 at 12:58















up vote
1
down vote

favorite












I came by the following theorem on a book that did not provide any proof.




Theorem: Suppose that $sum_limitsn=k^inftyf_n$ converges uniformly to $F$ on $S=[a,b]$. Assume that $F$ and $f_n::,ngeqslant k$, are integrable on $[a,b]$. Then:



$int_limitsa^bF(x)dx=sum_limitsn=k^inftyint_limitsa^bf_n(x)dx$




Since it is admitted that each $f_n$ is integrable I guess that each function could be integrated in the sum. However I fail to see a proof of the theorem.



Question:



How should I prove the claim?



Thanks in advance!







share|cite|improve this question



















  • Which book are you referring to?
    – uniquesolution
    Jul 20 at 12:54










  • @uniquesolution Introduction to Real Analysis by William Trench.
    – Pedro Gomes
    Jul 20 at 12:58













up vote
1
down vote

favorite









up vote
1
down vote

favorite











I came by the following theorem on a book that did not provide any proof.




Theorem: Suppose that $sum_limitsn=k^inftyf_n$ converges uniformly to $F$ on $S=[a,b]$. Assume that $F$ and $f_n::,ngeqslant k$, are integrable on $[a,b]$. Then:



$int_limitsa^bF(x)dx=sum_limitsn=k^inftyint_limitsa^bf_n(x)dx$




Since it is admitted that each $f_n$ is integrable I guess that each function could be integrated in the sum. However I fail to see a proof of the theorem.



Question:



How should I prove the claim?



Thanks in advance!







share|cite|improve this question











I came by the following theorem on a book that did not provide any proof.




Theorem: Suppose that $sum_limitsn=k^inftyf_n$ converges uniformly to $F$ on $S=[a,b]$. Assume that $F$ and $f_n::,ngeqslant k$, are integrable on $[a,b]$. Then:



$int_limitsa^bF(x)dx=sum_limitsn=k^inftyint_limitsa^bf_n(x)dx$




Since it is admitted that each $f_n$ is integrable I guess that each function could be integrated in the sum. However I fail to see a proof of the theorem.



Question:



How should I prove the claim?



Thanks in advance!









share|cite|improve this question










share|cite|improve this question




share|cite|improve this question









asked Jul 20 at 12:50









Pedro Gomes

1,3192618




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  • Which book are you referring to?
    – uniquesolution
    Jul 20 at 12:54










  • @uniquesolution Introduction to Real Analysis by William Trench.
    – Pedro Gomes
    Jul 20 at 12:58

















  • Which book are you referring to?
    – uniquesolution
    Jul 20 at 12:54










  • @uniquesolution Introduction to Real Analysis by William Trench.
    – Pedro Gomes
    Jul 20 at 12:58
















Which book are you referring to?
– uniquesolution
Jul 20 at 12:54




Which book are you referring to?
– uniquesolution
Jul 20 at 12:54












@uniquesolution Introduction to Real Analysis by William Trench.
– Pedro Gomes
Jul 20 at 12:58





@uniquesolution Introduction to Real Analysis by William Trench.
– Pedro Gomes
Jul 20 at 12:58











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For $K ge k$, define $F_K: [a,b] to mathbb R$ by $$F_K(x) = sum^K_n=k f_n(x), ,,,, x in [a,b].$$ We're assuming $F_Kto F$ uniformly. Then for any $epsilon > 0$, there is $K^* in mathbb N$ such that $K > K^*$ ensures that $$lvert F(x) - F_K(x) rvert < epsilon / (b-a), ,,,, text for all x in [a,b].$$ Now for $K > K^*$, beginalign* left lvert int^b_a F(x) dx - int^b_a F_K(x) dx right rvert &= left lvert int^b_a [F(x) - F_K(x)] dx right rvert \
&le int^b_a lvert F(x) - F_K(x) rvert dx \
& le int^b_a fracepsilonb-a dx = epsilon.
endalign* This shows that $$lim_Ktoinfty int^b_a F_K(x) dx = int^b_a F(x) dx.$$ But by linearity of the integral, $$int^b_a F_K(x) dx = sum^K_n=k int^b_af_n(x) dx,$$ so $$lim_Ktoinfty sum^K_n=kint^b_a f_n(x) dx = int^b_a F(x) dx.$$ Or in other words, $$sum^infty_n=k int^b_a f_n(x) dx = int^b_a F(x) dx.$$






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    For $K ge k$, define $F_K: [a,b] to mathbb R$ by $$F_K(x) = sum^K_n=k f_n(x), ,,,, x in [a,b].$$ We're assuming $F_Kto F$ uniformly. Then for any $epsilon > 0$, there is $K^* in mathbb N$ such that $K > K^*$ ensures that $$lvert F(x) - F_K(x) rvert < epsilon / (b-a), ,,,, text for all x in [a,b].$$ Now for $K > K^*$, beginalign* left lvert int^b_a F(x) dx - int^b_a F_K(x) dx right rvert &= left lvert int^b_a [F(x) - F_K(x)] dx right rvert \
    &le int^b_a lvert F(x) - F_K(x) rvert dx \
    & le int^b_a fracepsilonb-a dx = epsilon.
    endalign* This shows that $$lim_Ktoinfty int^b_a F_K(x) dx = int^b_a F(x) dx.$$ But by linearity of the integral, $$int^b_a F_K(x) dx = sum^K_n=k int^b_af_n(x) dx,$$ so $$lim_Ktoinfty sum^K_n=kint^b_a f_n(x) dx = int^b_a F(x) dx.$$ Or in other words, $$sum^infty_n=k int^b_a f_n(x) dx = int^b_a F(x) dx.$$






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      For $K ge k$, define $F_K: [a,b] to mathbb R$ by $$F_K(x) = sum^K_n=k f_n(x), ,,,, x in [a,b].$$ We're assuming $F_Kto F$ uniformly. Then for any $epsilon > 0$, there is $K^* in mathbb N$ such that $K > K^*$ ensures that $$lvert F(x) - F_K(x) rvert < epsilon / (b-a), ,,,, text for all x in [a,b].$$ Now for $K > K^*$, beginalign* left lvert int^b_a F(x) dx - int^b_a F_K(x) dx right rvert &= left lvert int^b_a [F(x) - F_K(x)] dx right rvert \
      &le int^b_a lvert F(x) - F_K(x) rvert dx \
      & le int^b_a fracepsilonb-a dx = epsilon.
      endalign* This shows that $$lim_Ktoinfty int^b_a F_K(x) dx = int^b_a F(x) dx.$$ But by linearity of the integral, $$int^b_a F_K(x) dx = sum^K_n=k int^b_af_n(x) dx,$$ so $$lim_Ktoinfty sum^K_n=kint^b_a f_n(x) dx = int^b_a F(x) dx.$$ Or in other words, $$sum^infty_n=k int^b_a f_n(x) dx = int^b_a F(x) dx.$$






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        up vote
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        up vote
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        For $K ge k$, define $F_K: [a,b] to mathbb R$ by $$F_K(x) = sum^K_n=k f_n(x), ,,,, x in [a,b].$$ We're assuming $F_Kto F$ uniformly. Then for any $epsilon > 0$, there is $K^* in mathbb N$ such that $K > K^*$ ensures that $$lvert F(x) - F_K(x) rvert < epsilon / (b-a), ,,,, text for all x in [a,b].$$ Now for $K > K^*$, beginalign* left lvert int^b_a F(x) dx - int^b_a F_K(x) dx right rvert &= left lvert int^b_a [F(x) - F_K(x)] dx right rvert \
        &le int^b_a lvert F(x) - F_K(x) rvert dx \
        & le int^b_a fracepsilonb-a dx = epsilon.
        endalign* This shows that $$lim_Ktoinfty int^b_a F_K(x) dx = int^b_a F(x) dx.$$ But by linearity of the integral, $$int^b_a F_K(x) dx = sum^K_n=k int^b_af_n(x) dx,$$ so $$lim_Ktoinfty sum^K_n=kint^b_a f_n(x) dx = int^b_a F(x) dx.$$ Or in other words, $$sum^infty_n=k int^b_a f_n(x) dx = int^b_a F(x) dx.$$






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        For $K ge k$, define $F_K: [a,b] to mathbb R$ by $$F_K(x) = sum^K_n=k f_n(x), ,,,, x in [a,b].$$ We're assuming $F_Kto F$ uniformly. Then for any $epsilon > 0$, there is $K^* in mathbb N$ such that $K > K^*$ ensures that $$lvert F(x) - F_K(x) rvert < epsilon / (b-a), ,,,, text for all x in [a,b].$$ Now for $K > K^*$, beginalign* left lvert int^b_a F(x) dx - int^b_a F_K(x) dx right rvert &= left lvert int^b_a [F(x) - F_K(x)] dx right rvert \
        &le int^b_a lvert F(x) - F_K(x) rvert dx \
        & le int^b_a fracepsilonb-a dx = epsilon.
        endalign* This shows that $$lim_Ktoinfty int^b_a F_K(x) dx = int^b_a F(x) dx.$$ But by linearity of the integral, $$int^b_a F_K(x) dx = sum^K_n=k int^b_af_n(x) dx,$$ so $$lim_Ktoinfty sum^K_n=kint^b_a f_n(x) dx = int^b_a F(x) dx.$$ Or in other words, $$sum^infty_n=k int^b_a f_n(x) dx = int^b_a F(x) dx.$$







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        answered Jul 20 at 13:37









        User8128

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