Is geodesic distance equivalent to “norm distance” in $SL_n(mathbbR)$? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Covering a Riemannian manifold with geodesic balls without too much overlapShow that the convex neighborhood in a Riemannian Manifold are subset contractiblesgeodesic flow is proper actionQuestions about a flat Riemannian metric and a metric spaceIntegrate geodesic equations to compute intrinsic induced metricExamples for geodesic balls which are not convexvolume of geodesic balls for large Riemannian metricsRiemannian metric with specified totally geodesic submanifoldsWhat do radially symmetric functions on a Riemannian symmetric space look like?Standard form of the Riemannian metric in a neighborhood
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Is geodesic distance equivalent to “norm distance” in $SL_n(mathbbR)$?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Covering a Riemannian manifold with geodesic balls without too much overlapShow that the convex neighborhood in a Riemannian Manifold are subset contractiblesgeodesic flow is proper actionQuestions about a flat Riemannian metric and a metric spaceIntegrate geodesic equations to compute intrinsic induced metricExamples for geodesic balls which are not convexvolume of geodesic balls for large Riemannian metricsRiemannian metric with specified totally geodesic submanifoldsWhat do radially symmetric functions on a Riemannian symmetric space look like?Standard form of the Riemannian metric in a neighborhood
$begingroup$
Take any norm, $|cdot|$on $mathbbR^n,$ and consider the resulting norm on $SL_n(mathbbR)$:
$$|A|:= supAv.$$
Now take any left-invariant Riemannian metric, $g$, on $SL_n$. How do the geodesic balls, $B_g(I, r)$ around the identity matrix, $I$, compare with the metric balls, $B_(I,r)$ coming from $|cdot|$? In particular do there exist $c, C$ such that $$B_(I,cr)subset B_g(I, r) subset B_(I,Cr)$$ for all sufficiently small $r$? Or anything of the sort?
differential-geometry lie-groups riemannian-geometry
$endgroup$
add a comment |
$begingroup$
Take any norm, $|cdot|$on $mathbbR^n,$ and consider the resulting norm on $SL_n(mathbbR)$:
$$|A|:= supAv.$$
Now take any left-invariant Riemannian metric, $g$, on $SL_n$. How do the geodesic balls, $B_g(I, r)$ around the identity matrix, $I$, compare with the metric balls, $B_(I,r)$ coming from $|cdot|$? In particular do there exist $c, C$ such that $$B_(I,cr)subset B_g(I, r) subset B_(I,Cr)$$ for all sufficiently small $r$? Or anything of the sort?
differential-geometry lie-groups riemannian-geometry
$endgroup$
add a comment |
$begingroup$
Take any norm, $|cdot|$on $mathbbR^n,$ and consider the resulting norm on $SL_n(mathbbR)$:
$$|A|:= supAv.$$
Now take any left-invariant Riemannian metric, $g$, on $SL_n$. How do the geodesic balls, $B_g(I, r)$ around the identity matrix, $I$, compare with the metric balls, $B_(I,r)$ coming from $|cdot|$? In particular do there exist $c, C$ such that $$B_(I,cr)subset B_g(I, r) subset B_(I,Cr)$$ for all sufficiently small $r$? Or anything of the sort?
differential-geometry lie-groups riemannian-geometry
$endgroup$
Take any norm, $|cdot|$on $mathbbR^n,$ and consider the resulting norm on $SL_n(mathbbR)$:
$$|A|:= supAv.$$
Now take any left-invariant Riemannian metric, $g$, on $SL_n$. How do the geodesic balls, $B_g(I, r)$ around the identity matrix, $I$, compare with the metric balls, $B_(I,r)$ coming from $|cdot|$? In particular do there exist $c, C$ such that $$B_(I,cr)subset B_g(I, r) subset B_(I,Cr)$$ for all sufficiently small $r$? Or anything of the sort?
differential-geometry lie-groups riemannian-geometry
differential-geometry lie-groups riemannian-geometry
edited Feb 23 '16 at 7:38
Tim kinsella
asked Feb 23 '16 at 5:42
Tim kinsellaTim kinsella
3,0921330
3,0921330
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add a comment |
2 Answers
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$begingroup$
Here's what I see in Einsiedler-Ward:
Your norm on $SL_n(mathbbR)$ is induced by the operator norm on the vector space $M_n(mathbbR)$. Being a norm on a finite-dimensional vector space, it is equivalent to the euclidean norm $|cdot|$ on $M_n(mathbbR)$.
Now any left-invariant Riemannian metric $langle ,rangle$ on $TG=Gtimes mathfrakg$ is determined by its restriction to $TG_I=Itimes mathfrakg cong mathfrakg subset M_n(mathbbR)$. Without loss of generality, we can assume that the Riemannian metric restricted to $mathfrakg$ is induced by the euclidean norm on $M_n(mathbbR).$ Let $d$ be the distance on $G$ induced by the path integral formula of $langle , rangle$.
Let $B$ be a pre-compact neighbourhood of $I$ in $G$ where the local inverse ($log$) of the exponential map is defined. Assume $log(B)$ is a convex ball in $mathfrakg$. Let $B'$ be another pre-compact neighbourhood containing the closure of $B$.
Say $phi:[0,1] to B'$ joins $g_0, g_1 in B$. Then since the norm of $phi(t)$ is bounded, we get $c>0$ (independent of $g_0,g_1$) such that
$$L(phi):= intlangle Dphi(t), Dphi(t) rangle^1/2dt = int leftlangle DL^-1_phi(t)circ Dphi(t), DL^-1_phi(t)circ Dphi(t)rightrangle^1/2 dt = int |phi(t)^-1phi'(t)| dt
\ geq cint|phi'(t)|dt geq c| g_1-g_0|.$$
This shows that $c|g_1-g_0| leq d(g_0,g_1)$ if the infimum of path integrals is taken over paths which remain in $B'$. But since $dleft(B,(B')^cright)>0,$ we can assume that this estimate holds in general. Hence for all $g_0,g_1 in B$, we have
beginequation
c|g_1-g_0| leq d(g_0,g_1) qquad (1)
endequation
and it remains to show a reverse inequality.
Consider the path $phi:[0,1] to B$ given by $t mapsto expleft(log g_0 + t(log g_1-log g_0)right)$. This is well defined since we assumed $log(B)$ was a convex ball in $mathfrakg$. Then, since the norm of $phi(t)^-1$ is bounded, and since $d(exp)$ is bounded in $log(B)$ and since $log$ is Lipschitz (by the mean value theorem) in a neighbourhood of $I$,
$$d(g_0,g_1) leq intlangle Dphi(t), Dphi(t) rangle^1/2dt = int |phi(t)^-1phi'(t)|dt leq int C_1|phi'(t)|dt leq C_1C_2|g_1-g_0|$$
for some $C_1, C_2>0$ (independent of $g_0, g_1$). Hence for all $g_0,g_1in B$, we have
$$ d(g_0,g_1) leq C |g_0-g_1|. qquad (2)$$
$endgroup$
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
add a comment |
$begingroup$
I can prove the following. If $h$ denotes the metric on $SL(n,mathbbR)$ coming from the operator norm, and $h_1$ denotes a left-invariant metric on $SL(n,mathbbR)$, then, at $g in SL(n,mathbbR)$, and for any vector $x$ tangent to $SL(n,mathbbR)$ at $g$, we have:
$h(x,x) leq |g|^2 h_1(x,x)$
I just used left translations, and things like that. If interested, I can write some more details. Also, one can prove (using the equivalence of any 2 norms on a finite-dimensional vector space) that there is a $C>0$ such that:
$h_1(x,x) <= C |g^-1|^2 h(x,x)$.
Hence, if $|g|$ and $|g^-1|$ are bounded above by some constants, then the two metrics induce uniformly equivalent norms on the tangent spaces of that region. In particular, there exists a neighborhood of the identity in $SL(n,mathbbR)$ for which the two geodesic distances are equivalent.
$endgroup$
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
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Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
add a comment |
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2 Answers
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2 Answers
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$begingroup$
Here's what I see in Einsiedler-Ward:
Your norm on $SL_n(mathbbR)$ is induced by the operator norm on the vector space $M_n(mathbbR)$. Being a norm on a finite-dimensional vector space, it is equivalent to the euclidean norm $|cdot|$ on $M_n(mathbbR)$.
Now any left-invariant Riemannian metric $langle ,rangle$ on $TG=Gtimes mathfrakg$ is determined by its restriction to $TG_I=Itimes mathfrakg cong mathfrakg subset M_n(mathbbR)$. Without loss of generality, we can assume that the Riemannian metric restricted to $mathfrakg$ is induced by the euclidean norm on $M_n(mathbbR).$ Let $d$ be the distance on $G$ induced by the path integral formula of $langle , rangle$.
Let $B$ be a pre-compact neighbourhood of $I$ in $G$ where the local inverse ($log$) of the exponential map is defined. Assume $log(B)$ is a convex ball in $mathfrakg$. Let $B'$ be another pre-compact neighbourhood containing the closure of $B$.
Say $phi:[0,1] to B'$ joins $g_0, g_1 in B$. Then since the norm of $phi(t)$ is bounded, we get $c>0$ (independent of $g_0,g_1$) such that
$$L(phi):= intlangle Dphi(t), Dphi(t) rangle^1/2dt = int leftlangle DL^-1_phi(t)circ Dphi(t), DL^-1_phi(t)circ Dphi(t)rightrangle^1/2 dt = int |phi(t)^-1phi'(t)| dt
\ geq cint|phi'(t)|dt geq c| g_1-g_0|.$$
This shows that $c|g_1-g_0| leq d(g_0,g_1)$ if the infimum of path integrals is taken over paths which remain in $B'$. But since $dleft(B,(B')^cright)>0,$ we can assume that this estimate holds in general. Hence for all $g_0,g_1 in B$, we have
beginequation
c|g_1-g_0| leq d(g_0,g_1) qquad (1)
endequation
and it remains to show a reverse inequality.
Consider the path $phi:[0,1] to B$ given by $t mapsto expleft(log g_0 + t(log g_1-log g_0)right)$. This is well defined since we assumed $log(B)$ was a convex ball in $mathfrakg$. Then, since the norm of $phi(t)^-1$ is bounded, and since $d(exp)$ is bounded in $log(B)$ and since $log$ is Lipschitz (by the mean value theorem) in a neighbourhood of $I$,
$$d(g_0,g_1) leq intlangle Dphi(t), Dphi(t) rangle^1/2dt = int |phi(t)^-1phi'(t)|dt leq int C_1|phi'(t)|dt leq C_1C_2|g_1-g_0|$$
for some $C_1, C_2>0$ (independent of $g_0, g_1$). Hence for all $g_0,g_1in B$, we have
$$ d(g_0,g_1) leq C |g_0-g_1|. qquad (2)$$
$endgroup$
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
add a comment |
$begingroup$
Here's what I see in Einsiedler-Ward:
Your norm on $SL_n(mathbbR)$ is induced by the operator norm on the vector space $M_n(mathbbR)$. Being a norm on a finite-dimensional vector space, it is equivalent to the euclidean norm $|cdot|$ on $M_n(mathbbR)$.
Now any left-invariant Riemannian metric $langle ,rangle$ on $TG=Gtimes mathfrakg$ is determined by its restriction to $TG_I=Itimes mathfrakg cong mathfrakg subset M_n(mathbbR)$. Without loss of generality, we can assume that the Riemannian metric restricted to $mathfrakg$ is induced by the euclidean norm on $M_n(mathbbR).$ Let $d$ be the distance on $G$ induced by the path integral formula of $langle , rangle$.
Let $B$ be a pre-compact neighbourhood of $I$ in $G$ where the local inverse ($log$) of the exponential map is defined. Assume $log(B)$ is a convex ball in $mathfrakg$. Let $B'$ be another pre-compact neighbourhood containing the closure of $B$.
Say $phi:[0,1] to B'$ joins $g_0, g_1 in B$. Then since the norm of $phi(t)$ is bounded, we get $c>0$ (independent of $g_0,g_1$) such that
$$L(phi):= intlangle Dphi(t), Dphi(t) rangle^1/2dt = int leftlangle DL^-1_phi(t)circ Dphi(t), DL^-1_phi(t)circ Dphi(t)rightrangle^1/2 dt = int |phi(t)^-1phi'(t)| dt
\ geq cint|phi'(t)|dt geq c| g_1-g_0|.$$
This shows that $c|g_1-g_0| leq d(g_0,g_1)$ if the infimum of path integrals is taken over paths which remain in $B'$. But since $dleft(B,(B')^cright)>0,$ we can assume that this estimate holds in general. Hence for all $g_0,g_1 in B$, we have
beginequation
c|g_1-g_0| leq d(g_0,g_1) qquad (1)
endequation
and it remains to show a reverse inequality.
Consider the path $phi:[0,1] to B$ given by $t mapsto expleft(log g_0 + t(log g_1-log g_0)right)$. This is well defined since we assumed $log(B)$ was a convex ball in $mathfrakg$. Then, since the norm of $phi(t)^-1$ is bounded, and since $d(exp)$ is bounded in $log(B)$ and since $log$ is Lipschitz (by the mean value theorem) in a neighbourhood of $I$,
$$d(g_0,g_1) leq intlangle Dphi(t), Dphi(t) rangle^1/2dt = int |phi(t)^-1phi'(t)|dt leq int C_1|phi'(t)|dt leq C_1C_2|g_1-g_0|$$
for some $C_1, C_2>0$ (independent of $g_0, g_1$). Hence for all $g_0,g_1in B$, we have
$$ d(g_0,g_1) leq C |g_0-g_1|. qquad (2)$$
$endgroup$
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
add a comment |
$begingroup$
Here's what I see in Einsiedler-Ward:
Your norm on $SL_n(mathbbR)$ is induced by the operator norm on the vector space $M_n(mathbbR)$. Being a norm on a finite-dimensional vector space, it is equivalent to the euclidean norm $|cdot|$ on $M_n(mathbbR)$.
Now any left-invariant Riemannian metric $langle ,rangle$ on $TG=Gtimes mathfrakg$ is determined by its restriction to $TG_I=Itimes mathfrakg cong mathfrakg subset M_n(mathbbR)$. Without loss of generality, we can assume that the Riemannian metric restricted to $mathfrakg$ is induced by the euclidean norm on $M_n(mathbbR).$ Let $d$ be the distance on $G$ induced by the path integral formula of $langle , rangle$.
Let $B$ be a pre-compact neighbourhood of $I$ in $G$ where the local inverse ($log$) of the exponential map is defined. Assume $log(B)$ is a convex ball in $mathfrakg$. Let $B'$ be another pre-compact neighbourhood containing the closure of $B$.
Say $phi:[0,1] to B'$ joins $g_0, g_1 in B$. Then since the norm of $phi(t)$ is bounded, we get $c>0$ (independent of $g_0,g_1$) such that
$$L(phi):= intlangle Dphi(t), Dphi(t) rangle^1/2dt = int leftlangle DL^-1_phi(t)circ Dphi(t), DL^-1_phi(t)circ Dphi(t)rightrangle^1/2 dt = int |phi(t)^-1phi'(t)| dt
\ geq cint|phi'(t)|dt geq c| g_1-g_0|.$$
This shows that $c|g_1-g_0| leq d(g_0,g_1)$ if the infimum of path integrals is taken over paths which remain in $B'$. But since $dleft(B,(B')^cright)>0,$ we can assume that this estimate holds in general. Hence for all $g_0,g_1 in B$, we have
beginequation
c|g_1-g_0| leq d(g_0,g_1) qquad (1)
endequation
and it remains to show a reverse inequality.
Consider the path $phi:[0,1] to B$ given by $t mapsto expleft(log g_0 + t(log g_1-log g_0)right)$. This is well defined since we assumed $log(B)$ was a convex ball in $mathfrakg$. Then, since the norm of $phi(t)^-1$ is bounded, and since $d(exp)$ is bounded in $log(B)$ and since $log$ is Lipschitz (by the mean value theorem) in a neighbourhood of $I$,
$$d(g_0,g_1) leq intlangle Dphi(t), Dphi(t) rangle^1/2dt = int |phi(t)^-1phi'(t)|dt leq int C_1|phi'(t)|dt leq C_1C_2|g_1-g_0|$$
for some $C_1, C_2>0$ (independent of $g_0, g_1$). Hence for all $g_0,g_1in B$, we have
$$ d(g_0,g_1) leq C |g_0-g_1|. qquad (2)$$
$endgroup$
Here's what I see in Einsiedler-Ward:
Your norm on $SL_n(mathbbR)$ is induced by the operator norm on the vector space $M_n(mathbbR)$. Being a norm on a finite-dimensional vector space, it is equivalent to the euclidean norm $|cdot|$ on $M_n(mathbbR)$.
Now any left-invariant Riemannian metric $langle ,rangle$ on $TG=Gtimes mathfrakg$ is determined by its restriction to $TG_I=Itimes mathfrakg cong mathfrakg subset M_n(mathbbR)$. Without loss of generality, we can assume that the Riemannian metric restricted to $mathfrakg$ is induced by the euclidean norm on $M_n(mathbbR).$ Let $d$ be the distance on $G$ induced by the path integral formula of $langle , rangle$.
Let $B$ be a pre-compact neighbourhood of $I$ in $G$ where the local inverse ($log$) of the exponential map is defined. Assume $log(B)$ is a convex ball in $mathfrakg$. Let $B'$ be another pre-compact neighbourhood containing the closure of $B$.
Say $phi:[0,1] to B'$ joins $g_0, g_1 in B$. Then since the norm of $phi(t)$ is bounded, we get $c>0$ (independent of $g_0,g_1$) such that
$$L(phi):= intlangle Dphi(t), Dphi(t) rangle^1/2dt = int leftlangle DL^-1_phi(t)circ Dphi(t), DL^-1_phi(t)circ Dphi(t)rightrangle^1/2 dt = int |phi(t)^-1phi'(t)| dt
\ geq cint|phi'(t)|dt geq c| g_1-g_0|.$$
This shows that $c|g_1-g_0| leq d(g_0,g_1)$ if the infimum of path integrals is taken over paths which remain in $B'$. But since $dleft(B,(B')^cright)>0,$ we can assume that this estimate holds in general. Hence for all $g_0,g_1 in B$, we have
beginequation
c|g_1-g_0| leq d(g_0,g_1) qquad (1)
endequation
and it remains to show a reverse inequality.
Consider the path $phi:[0,1] to B$ given by $t mapsto expleft(log g_0 + t(log g_1-log g_0)right)$. This is well defined since we assumed $log(B)$ was a convex ball in $mathfrakg$. Then, since the norm of $phi(t)^-1$ is bounded, and since $d(exp)$ is bounded in $log(B)$ and since $log$ is Lipschitz (by the mean value theorem) in a neighbourhood of $I$,
$$d(g_0,g_1) leq intlangle Dphi(t), Dphi(t) rangle^1/2dt = int |phi(t)^-1phi'(t)|dt leq int C_1|phi'(t)|dt leq C_1C_2|g_1-g_0|$$
for some $C_1, C_2>0$ (independent of $g_0, g_1$). Hence for all $g_0,g_1in B$, we have
$$ d(g_0,g_1) leq C |g_0-g_1|. qquad (2)$$
edited Mar 28 at 15:41
answered Mar 26 at 17:37
Sir Wilfred Lucas-DockerySir Wilfred Lucas-Dockery
409420
409420
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
add a comment |
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
(+1) .....................
$endgroup$
– Tim kinsella
Mar 29 at 5:32
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
$begingroup$
Thank you sir. And if you get the time, could you do the same with your $11$ other accounts?
$endgroup$
– Sir Wilfred Lucas-Dockery
Mar 29 at 17:59
add a comment |
$begingroup$
I can prove the following. If $h$ denotes the metric on $SL(n,mathbbR)$ coming from the operator norm, and $h_1$ denotes a left-invariant metric on $SL(n,mathbbR)$, then, at $g in SL(n,mathbbR)$, and for any vector $x$ tangent to $SL(n,mathbbR)$ at $g$, we have:
$h(x,x) leq |g|^2 h_1(x,x)$
I just used left translations, and things like that. If interested, I can write some more details. Also, one can prove (using the equivalence of any 2 norms on a finite-dimensional vector space) that there is a $C>0$ such that:
$h_1(x,x) <= C |g^-1|^2 h(x,x)$.
Hence, if $|g|$ and $|g^-1|$ are bounded above by some constants, then the two metrics induce uniformly equivalent norms on the tangent spaces of that region. In particular, there exists a neighborhood of the identity in $SL(n,mathbbR)$ for which the two geodesic distances are equivalent.
$endgroup$
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
add a comment |
$begingroup$
I can prove the following. If $h$ denotes the metric on $SL(n,mathbbR)$ coming from the operator norm, and $h_1$ denotes a left-invariant metric on $SL(n,mathbbR)$, then, at $g in SL(n,mathbbR)$, and for any vector $x$ tangent to $SL(n,mathbbR)$ at $g$, we have:
$h(x,x) leq |g|^2 h_1(x,x)$
I just used left translations, and things like that. If interested, I can write some more details. Also, one can prove (using the equivalence of any 2 norms on a finite-dimensional vector space) that there is a $C>0$ such that:
$h_1(x,x) <= C |g^-1|^2 h(x,x)$.
Hence, if $|g|$ and $|g^-1|$ are bounded above by some constants, then the two metrics induce uniformly equivalent norms on the tangent spaces of that region. In particular, there exists a neighborhood of the identity in $SL(n,mathbbR)$ for which the two geodesic distances are equivalent.
$endgroup$
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
add a comment |
$begingroup$
I can prove the following. If $h$ denotes the metric on $SL(n,mathbbR)$ coming from the operator norm, and $h_1$ denotes a left-invariant metric on $SL(n,mathbbR)$, then, at $g in SL(n,mathbbR)$, and for any vector $x$ tangent to $SL(n,mathbbR)$ at $g$, we have:
$h(x,x) leq |g|^2 h_1(x,x)$
I just used left translations, and things like that. If interested, I can write some more details. Also, one can prove (using the equivalence of any 2 norms on a finite-dimensional vector space) that there is a $C>0$ such that:
$h_1(x,x) <= C |g^-1|^2 h(x,x)$.
Hence, if $|g|$ and $|g^-1|$ are bounded above by some constants, then the two metrics induce uniformly equivalent norms on the tangent spaces of that region. In particular, there exists a neighborhood of the identity in $SL(n,mathbbR)$ for which the two geodesic distances are equivalent.
$endgroup$
I can prove the following. If $h$ denotes the metric on $SL(n,mathbbR)$ coming from the operator norm, and $h_1$ denotes a left-invariant metric on $SL(n,mathbbR)$, then, at $g in SL(n,mathbbR)$, and for any vector $x$ tangent to $SL(n,mathbbR)$ at $g$, we have:
$h(x,x) leq |g|^2 h_1(x,x)$
I just used left translations, and things like that. If interested, I can write some more details. Also, one can prove (using the equivalence of any 2 norms on a finite-dimensional vector space) that there is a $C>0$ such that:
$h_1(x,x) <= C |g^-1|^2 h(x,x)$.
Hence, if $|g|$ and $|g^-1|$ are bounded above by some constants, then the two metrics induce uniformly equivalent norms on the tangent spaces of that region. In particular, there exists a neighborhood of the identity in $SL(n,mathbbR)$ for which the two geodesic distances are equivalent.
edited Apr 21 '16 at 14:40
answered Apr 21 '16 at 14:25
MalkounMalkoun
1,9321612
1,9321612
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
add a comment |
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Thanks for your answer. By $h(x,x)$ do you just mean the square of the operator norm of $x$, thinking of $x$ as a matrix acting on $mathbbR^n$ (let's assume g=e)?
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:25
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Tim kinsella: yes correct, this is what I mean.
$endgroup$
– Malkoun
Apr 23 '16 at 0:29
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Thanks again. I don't completely understand the last paragraph. If we were talking about two Riemannian metrics which induced uniformly equivalent norms in a neighborhood of $e$, then I think I would be able to fill in the details. But let me ponder a little more.
$endgroup$
– Tim kinsella
Apr 23 '16 at 0:43
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
$begingroup$
Tim kinsella: I must admit the last paragraph in my answer is not written in a clear way! However the 2 inequalities should give you what you were hoping for. In any case, I can provide you with more details if you want, in particular the proofs of the 2 inequalities, if you want, or how you use them.
$endgroup$
– Malkoun
Apr 23 '16 at 14:35
add a comment |
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