Pointwise bound on differentiable $f$ in terms of $|f|_2$ and $|f'|_2$.
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I have a relatively simple analysis question that for some reason has me stuck.
Suppose that $f:mathbb Rtomathbb R$ satisfies the following conditions.
$f$ is differentiable
$|f|_2$ and $|f'|_2$ are finite
$f$ is compactly supported.
Then, a simple argument shows that $fleqsqrt{2|f|_2|f'|_2}$ pointwise:
$$|f(x)|^2=left|int_{-infty}^x(f(x)^2)'~dxright|leq2int_a^x |f(x)||f'(x)|~dxleq2|f|_2|f'|_2.tag{1}$$
Remark. Intuitively, this kind of makes sense: If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure. But then since $f$ is continuous it probably has to increase/decrease at a large rate next to its very large values, which is "ruled out" by $f'$ having small $L^2$-norm.
Question. Does a similar result hold when we consider functions on a bounded interval $f:[a,b]tomathbb R$?
Replicating the same argument here yields the bound
$$|f(x)^2-f(a)^2|=left|int_{a}^x(f(x)^2)'~dxright|leq 2|f|_2|f'|_2,$$
but then this is not quite the same as my first example: if we don't know how large $f(a)$ is then we don't have a pointwise bound of $f$. However, I don't see why the intuition I mention in the remak above doesn't apply here.
In short, is my intuition misguided, or am I generalizing the procedure in equation $(1)$ incorrectly?
calculus real-analysis functions
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up vote
0
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I have a relatively simple analysis question that for some reason has me stuck.
Suppose that $f:mathbb Rtomathbb R$ satisfies the following conditions.
$f$ is differentiable
$|f|_2$ and $|f'|_2$ are finite
$f$ is compactly supported.
Then, a simple argument shows that $fleqsqrt{2|f|_2|f'|_2}$ pointwise:
$$|f(x)|^2=left|int_{-infty}^x(f(x)^2)'~dxright|leq2int_a^x |f(x)||f'(x)|~dxleq2|f|_2|f'|_2.tag{1}$$
Remark. Intuitively, this kind of makes sense: If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure. But then since $f$ is continuous it probably has to increase/decrease at a large rate next to its very large values, which is "ruled out" by $f'$ having small $L^2$-norm.
Question. Does a similar result hold when we consider functions on a bounded interval $f:[a,b]tomathbb R$?
Replicating the same argument here yields the bound
$$|f(x)^2-f(a)^2|=left|int_{a}^x(f(x)^2)'~dxright|leq 2|f|_2|f'|_2,$$
but then this is not quite the same as my first example: if we don't know how large $f(a)$ is then we don't have a pointwise bound of $f$. However, I don't see why the intuition I mention in the remak above doesn't apply here.
In short, is my intuition misguided, or am I generalizing the procedure in equation $(1)$ incorrectly?
calculus real-analysis functions
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have a relatively simple analysis question that for some reason has me stuck.
Suppose that $f:mathbb Rtomathbb R$ satisfies the following conditions.
$f$ is differentiable
$|f|_2$ and $|f'|_2$ are finite
$f$ is compactly supported.
Then, a simple argument shows that $fleqsqrt{2|f|_2|f'|_2}$ pointwise:
$$|f(x)|^2=left|int_{-infty}^x(f(x)^2)'~dxright|leq2int_a^x |f(x)||f'(x)|~dxleq2|f|_2|f'|_2.tag{1}$$
Remark. Intuitively, this kind of makes sense: If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure. But then since $f$ is continuous it probably has to increase/decrease at a large rate next to its very large values, which is "ruled out" by $f'$ having small $L^2$-norm.
Question. Does a similar result hold when we consider functions on a bounded interval $f:[a,b]tomathbb R$?
Replicating the same argument here yields the bound
$$|f(x)^2-f(a)^2|=left|int_{a}^x(f(x)^2)'~dxright|leq 2|f|_2|f'|_2,$$
but then this is not quite the same as my first example: if we don't know how large $f(a)$ is then we don't have a pointwise bound of $f$. However, I don't see why the intuition I mention in the remak above doesn't apply here.
In short, is my intuition misguided, or am I generalizing the procedure in equation $(1)$ incorrectly?
calculus real-analysis functions
I have a relatively simple analysis question that for some reason has me stuck.
Suppose that $f:mathbb Rtomathbb R$ satisfies the following conditions.
$f$ is differentiable
$|f|_2$ and $|f'|_2$ are finite
$f$ is compactly supported.
Then, a simple argument shows that $fleqsqrt{2|f|_2|f'|_2}$ pointwise:
$$|f(x)|^2=left|int_{-infty}^x(f(x)^2)'~dxright|leq2int_a^x |f(x)||f'(x)|~dxleq2|f|_2|f'|_2.tag{1}$$
Remark. Intuitively, this kind of makes sense: If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure. But then since $f$ is continuous it probably has to increase/decrease at a large rate next to its very large values, which is "ruled out" by $f'$ having small $L^2$-norm.
Question. Does a similar result hold when we consider functions on a bounded interval $f:[a,b]tomathbb R$?
Replicating the same argument here yields the bound
$$|f(x)^2-f(a)^2|=left|int_{a}^x(f(x)^2)'~dxright|leq 2|f|_2|f'|_2,$$
but then this is not quite the same as my first example: if we don't know how large $f(a)$ is then we don't have a pointwise bound of $f$. However, I don't see why the intuition I mention in the remak above doesn't apply here.
In short, is my intuition misguided, or am I generalizing the procedure in equation $(1)$ incorrectly?
calculus real-analysis functions
calculus real-analysis functions
asked Nov 21 at 16:47
user78270
2,148721
2,148721
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1 Answer
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If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure
It depends on what you mean by 'very large'. If you remove the restriction of compact support, then you also consider the constant functions $f(x)=c$ for all $xin [a,b]$. If we increase the constant $c$, these can take arbitrarily large values over the whole $[a,b]$ even if the derivative is $0$ everywhere for any choice of $c$.
In particular, in the RHS we have $$2|f|_2|f'|_2=0$$ which means that the correct term in the LHS is indeed $|f(x)^2-f(a)^2|$ and not $|f(x)|^2$ by itself or anything 'similar'. Your inequality is sharp.
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure
It depends on what you mean by 'very large'. If you remove the restriction of compact support, then you also consider the constant functions $f(x)=c$ for all $xin [a,b]$. If we increase the constant $c$, these can take arbitrarily large values over the whole $[a,b]$ even if the derivative is $0$ everywhere for any choice of $c$.
In particular, in the RHS we have $$2|f|_2|f'|_2=0$$ which means that the correct term in the LHS is indeed $|f(x)^2-f(a)^2|$ and not $|f(x)|^2$ by itself or anything 'similar'. Your inequality is sharp.
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
add a comment |
up vote
1
down vote
accepted
If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure
It depends on what you mean by 'very large'. If you remove the restriction of compact support, then you also consider the constant functions $f(x)=c$ for all $xin [a,b]$. If we increase the constant $c$, these can take arbitrarily large values over the whole $[a,b]$ even if the derivative is $0$ everywhere for any choice of $c$.
In particular, in the RHS we have $$2|f|_2|f'|_2=0$$ which means that the correct term in the LHS is indeed $|f(x)^2-f(a)^2|$ and not $|f(x)|^2$ by itself or anything 'similar'. Your inequality is sharp.
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure
It depends on what you mean by 'very large'. If you remove the restriction of compact support, then you also consider the constant functions $f(x)=c$ for all $xin [a,b]$. If we increase the constant $c$, these can take arbitrarily large values over the whole $[a,b]$ even if the derivative is $0$ everywhere for any choice of $c$.
In particular, in the RHS we have $$2|f|_2|f'|_2=0$$ which means that the correct term in the LHS is indeed $|f(x)^2-f(a)^2|$ and not $|f(x)|^2$ by itself or anything 'similar'. Your inequality is sharp.
If $f$ has a small $L^2$-norm, then it can only take very large values on sets of small Lebesgue measure
It depends on what you mean by 'very large'. If you remove the restriction of compact support, then you also consider the constant functions $f(x)=c$ for all $xin [a,b]$. If we increase the constant $c$, these can take arbitrarily large values over the whole $[a,b]$ even if the derivative is $0$ everywhere for any choice of $c$.
In particular, in the RHS we have $$2|f|_2|f'|_2=0$$ which means that the correct term in the LHS is indeed $|f(x)^2-f(a)^2|$ and not $|f(x)|^2$ by itself or anything 'similar'. Your inequality is sharp.
answered Nov 21 at 18:59
Lorenzo Quarisa
3,146316
3,146316
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
add a comment |
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
Makes perfect sense, thanks for clarifying my intuition.
– user78270
Nov 21 at 19:29
add a comment |
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