
LECTURE3:THERIEMANNIANDISTANCE1. LENGTH OF CURVESAs we mentioned, the Riemannian metric g on M itself is not a metric on M.Nevertheless, it can be viewed as an “infinitesimal metric" and it generates a truemetric on M which makes M a metric space. To define this metric, we first definethe length of a (piecewise smooth) curve in (M,g).I The length of a curve.Let : [a, 6] -→ M be a smooth immersed parametric curve in M. For any t,(t) = d(is a tangent vector in T(t)M, and thus has a length with respect to g. We shallalways assume that the parametrization is regular, i.e. (t) + 0 for all t . As inundergraduate differential geometry course, it is natural to defineDefinition1.1.ThelengthofisLength() :=-1/(t)/(t) =Vgr(t)((t), (t)dtAs one can imagine, the length should be a property of the geometric curve andthus should be independent of the choice of different parametrizations:Lemma 1.2. Length() is independent of the choices of regular parametrizations.Proof.Let i:[c,d]-→M be another regular parametrization of the samegeometriccurve as Then there exists a smooth function t : [a,b] →[c,d] so that i(ti(t)) =(t).It followsdti(t) =%(t1)(t)dtSince both parametrizations are regular, we get (t) + 0 and thus the functionti = ti(t) is either strictly increasing, or strictly decreasing.Now the conclusionfollows fromthestandardchangeof variableformula,Length(%)=V<%(t), 1(ti)i(ti)dt1dtiat/<(t)((t)-1, (t)((t)dt = Length(),(t)-1) (t) dt口where for simplicity we assumed t is strictly increasing with respect to t
LECTURE 3: THE RIEMANNIAN DISTANCE 1. Length of curves As we mentioned, the Riemannian metric g on M itself is not a metric on M. Nevertheless, it can be viewed as an “infinitesimal metric” and it generates a true metric on M which makes M a metric space. To define this metric, we first define the length of a (piecewise smooth) curve in (M, g). ¶ The length of a curve. Let γ : [a, b] → M be a smooth immersed parametric curve in M. For any t, γ˙(t) = dγ( d dt) is a tangent vector in Tγ(t)M, and thus has a length with respect to g. We shall always assume that the parametrization is regular, i.e. ˙γ(t) ̸= 0 for all t . As in undergraduate differential geometry course, it is natural to define Definition 1.1. The length of γ is Length(γ) := Z b a ∥γ˙(t)∥γ(t) = Z b a q gγ(t)( ˙γ(t), γ˙(t))dt As one can imagine, the length should be a property of the geometric curve and thus should be independent of the choice of different parametrizations: Lemma 1.2. Length(γ) is independent of the choices of regular parametrizations. Proof. Let γ1 : [c, d] → M be another regular parametrization of the same ✿✿✿✿✿✿✿✿✿✿ geometric ✿✿✿✿✿ curve as γ. Then there exists a smooth function t1 : [a, b] → [c, d] so that γ1(t1(t)) = γ(t). It follows γ˙(t) = ˙γ1(t1) dt1 dt (t). Since both parametrizations are regular, we get dt1 dt (t) ̸= 0 and thus the function t1 = t1(t) is either strictly increasing, or strictly decreasing. Now the conclusion follows from the standard change of variable formula, Length(γ1) = Z d c q ⟨γ˙ 1(t1), γ˙ 1(t1)⟩γ1(t1)dt1 = Z b a r ⟨γ˙(t)(dt1 dt (t))−1 , γ˙(t)(dt1 dt (t))−1⟩γ(t) dt1 dt (t)dt = Length(γ), where for simplicity we assumed t1 is strictly increasing with respect to t. □ 1

2LECTURE3:THERIEMANNIANDISTANCEBy the same change of variable argument one can proveLemma 1.3. Let : (M,gm) -→ (N, gn) be a local isometry, and be a regularparametric curve in M. ThenLengthm() = Length(())IArc lengthparametrization.Although there are lots of different ways to parametrize a curve, there is oneparametrization, the arc-length parametrization defined below, that is best and thuswill be extensively used in this course.To describe the arc-length parametrization,we start with any regularparametriccurve:[a,b] →M.Wewill calls(t)=V<(T),(T)()dTthe arc-length function of : Obviously s = s(t) is a strictly increasing functionmapping the interval [a, b] to the interval [0, Length()]. We will denote by t = t(s)the inverse function of s = s(t). One can reparametrize via the parameter s,(s) =(t(s), 0 ≤ s≤ Length().This is called the arc-length parametrization. It has the following nice propertyProposition 1.4. For the arc-length parametrization, (%(s), (s))(s) = 1.Proof. At s = s(t), we have t(s) = (s(t)-1 = ((t), (t)-1/2. So(%(s), (s)n(0) = ((t)t(s), (t)t(s)n(s(t) = t(s)2(6(t),(t)(t) = 1. Conversely by the definition of the arc-length function s(t) above, we see thatif a parametrization of satisfies(%,)=1,then it is simply a translation of thearc-length parametrization. Usually a curve with llll = 1 is called a normal curve,and a curve with=cis called a curve of constant speed.Now suppose (M, g) is a 1-dimensional Riemannian manifold. Then locally neareach point, a local coordinate neighborhood is a curve, and the arc-length parameters is a local coordinate. By definition, g1i = g(Os, 0s) = 1, and thus locallyg=ds@ds.As an immediate consequence, we getCorollary 1.5.Any two 1-dimensional Riemannian manifolds are locally isometric.Remark. Discussions above can be easily extended to piecewise Cl curves in M: If:[a,b] -→M is a continuous map,and there exists a partitiona=ao<ai<a2<-.-<an=b
2 LECTURE 3: THE RIEMANNIAN DISTANCE By the same change of variable argument one can prove Lemma 1.3. Let φ : (M, gM) → (N, gN ) be a local isometry, and γ be a regular parametric curve in M. Then LengthM(γ) = LengthN (φ(γ)). ¶ Arc length parametrization. Although there are lots of different ways to parametrize a curve, there is one parametrization, the arc-length parametrization defined below, that is best and thus will be extensively used in this course. To describe the arc-length parametrization, we start with any regular parametric curve γ : [a, b] → M. We will call s(t) = Z t a q ⟨γ˙(τ ), γ˙(τ )⟩γ(τ)dτ the arc-length function of γ. Obviously s = s(t) is a strictly increasing function mapping the interval [a, b] to the interval [0, Length(γ)]. We will denote by t = t(s) the inverse function of s = s(t). One can reparametrize γ via the parameter s, γ1(s) = γ(t(s)), 0 ≤ s ≤ Length(γ). This is called the arc-length parametrization. It has the following nice property Proposition 1.4. For the arc-length parametrization, ⟨γ˙ 1(s), γ˙ 1(s)⟩γ1(s) ≡ 1. Proof. At s = s(t), we have t ′ (s) = (s ′ (t))−1 = ⟨γ˙(t), γ˙(t)⟩ −1/2 . So ⟨γ˙ 1(s), γ˙ 1(s)⟩γ1(s) = ⟨γ˙(t)t ′ (s), γ˙(t)t ′ (s)⟩γ1(s(t)) = t ′ (s) 2 ⟨γ˙(t), γ˙(t)⟩γ(t) = 1. □ Conversely by the definition of the arc-length function s(t) above, we see that if a parametrization of γ satisfies ⟨γ, ˙ γ˙⟩ ≡ 1, then it is simply a translation of the arc-length parametrization. Usually a curve with ∥γ˙ ∥ ≡ 1 is called a normal curve, and a curve with ∥γ˙ ∥ ≡ c is called a curve of constant speed. Now suppose (M, g) is a 1-dimensional Riemannian manifold. Then locally near each point, a local coordinate neighborhood is a curve, and the arc-length parameter s is a local coordinate. By definition, g11 = g(∂s, ∂s) = 1, and thus locally g = ds ⊗ ds. As an immediate consequence, we get Corollary 1.5. Any two 1-dimensional Riemannian manifolds are locally isometric. Remark. Discussions above can be easily extended to piecewise C 1 curves in M: If γ : [a, b] → M is a continuous map, and there exists a partition a = a0 < a1 < a2 < · · · < aN = b

LECTURE3:THERIEMANNIANDISTANCE3of [a, b] so that each la,ai+1j is a regular C' curve, then one can simply defineN-1Length() = Length(l(a,a+).i02.THE RIEMANNIAN DISTANCEI The Riemannian distance.Now we are ready define a metric (i.e.a distance function) on aconnectedRiemannian manifold (M,g). For any p,q e M, letCpq = [: [a, b6] -→ M I is piecewise smooth and (a) = p, (b) = q].Note that the connectedness of M guarantees that the set Cpq is nonempty.Definition 2.1.The distance between pand g on a Riemannian manifold (M,g) isdefinedtobedist(p,g) = inf(Length() / E Cpq]Obviously for the standard Euclidean space (IRm,go), dist is the Euclidean dis-tance function on Rm.Let's give another example:Erample. Consider the hyperbolic plane (H, ghyp), where ghyp = (d@dr+dydy).Let p = (0,a), and q = (0,b), where b > a. Let : [0, 1] → H be a regular curvewith (0) = p and (1) = q. Denote (t) = (r(t), y(t), then y(t) > 0 andhy'(t)L()(((t)2 +(t)dt ≥=logaoy(t)and the equality achieves if r(t) = 0 and y is monotonely increasing. It followsbdist(p,g)=log-aIn what follows,we will show that d is ametric, and the metric topology coincideswith the given manifold topology.The crucial idea behind the proofs is a comparisonbetween the Riemannian metric on a compact set with the Euclidean metric goI The Riemannian distance is a distance.NowweproveTheorem 2.2. For any connected Riemannian manifold (M,g), the distance func-tion dist makes M into a metric space.Proof. It is easy to check that the functiondist : M × M→Rsatisfies most axioms for a distance function, e.g. for any p, q, r e M
LECTURE 3: THE RIEMANNIAN DISTANCE 3 of [a, b] so that each γ|[ai,ai+1] is a regular C 1 curve, then one can simply define Length(γ) = N X−1 i=0 Length(γ|[ai,ai+1]). 2. The Riemannian distance ¶ The Riemannian distance. Now we are ready define a metric (i.e. a distance function) on a ✿✿✿✿✿✿✿✿✿✿ connected Riemannian manifold (M, g). For any p, q ∈ M, let Cpq = {γ : [a, b] → M | γ is piecewise smooth and γ(a) = p, γ(b) = q}. Note that the connectedness of M guarantees that the set Cpq is nonempty. Definition 2.1. The distance between p and q on a Riemannian manifold (M, g) is defined to be dist(p, q) = inf{Length(γ) | γ ∈ Cpq}. Obviously for the standard Euclidean space (R m, g0), dist is the Euclidean distance function on R m. Let’s give another example: Example. Consider the hyperbolic plane (H, ghyp), where ghyp = 1 y 2 (dx⊗dx+dy⊗dy). Let p = (0, a), and q = (0, b), where b > a. Let γ : [0, 1] → H be a regular curve with γ(0) = p and γ(1) = q. Denote γ(t) = (x(t), y(t)), then y(t) > 0 and L(γ) = Z 1 0 s 1 y(t) 2 (x ′ (t) 2 + y ′ (t) 2 )dt ≥ Z 1 0 y ′ (t) y(t) dt = log b a , and the equality achieves if x(t) = 0 and y is monotonely increasing. It follows dist(p, q) = log b a . In what follows, we will show that d is a metric, and the metric topology coincides with the given manifold topology. The crucial idea behind the proofs is a comparison between the Riemannian metric on a compact set with the Euclidean metric g0. ¶ The Riemannian distance is a distance. Now we prove Theorem 2.2. For any connected Riemannian manifold (M, g), the distance function dist makes M into a metric space. Proof. It is easy to check that the function dist : M × M → R satisfies most axioms for a distance function, e.g. for any ✿✿✿✿✿ p, q, r ∈ M

4LECTURE 3:THERIEMANNIANDISTANCE(a) dist(p,p) =0, dist(p,q) ≥0;(b) dist(p,g) = dist(g,p);(c) dist(p,r) ≤ dist(p,q) +dist(q,r).It remains to show that for p q, we must havedist(p,q) > 0.Take a chart (o,U, V) around q with p g U, so that((q) = 0 e V = Bi(0) c Rm.Thenh = (-1)*(gu)is a Riemannian metric on V so that (V,h) is isometric to (U,glu). LetA= inf( the smallest eigenvalue of the matrix (hig)r [ α e Bi/2(0)ThenforanyEBi/2(o)and anyXeTV,wehave(X, X) = hijXixi ≥ ^(Xi)?= >(X, X)g0*For any piecewise smooth curve starting from 0 = (q) and ending at some pointon Bi/2(O), and be the first portion of the curve that sits totally in Bi/2(0)(so is a piecewise smooth curve that starts at g and still ends at some point onBi/2(0)),reparametrized withparameters in[0,1].ThenLength;() ≥ Length() = / V(,)nd V/hi i)at = VA Lengtha() ≥≥VASince any curvefromp togmust intersect(oBi/2(O))at somepoint,we concludeV> 0.dist(p,q) ≥2口as desired.Remark. Obviously if : (M,gm) → (N,gn) is an isometry, and dm,dn are thecorresponding distance functions, then : (M, dm) → (N, dn) is distance preservingin the sense thatdistr((p), p(q) = distm(p,q), Vp,q E M.It turns out that the converse is also true, again proven by Myers and Steenrod in1939:1Here we used that any manifold is Hausdorff. For a non-Hausdorff locally Euclidean space like"the line with two origins", the two origins would have distance zero if we define a “Riemanniandistance"as above
4 LECTURE 3: THE RIEMANNIAN DISTANCE (a) dist(p, p) = 0, dist(p, q) ≥ 0; (b) dist(p, q) = dist(q, p); (c) dist(p, r) ≤ dist(p, q) + dist(q, r). It remains to show that for p ̸= q, we must have dist(p, q) > 0. Take a chart (φ, U, V ) around q with1 p ̸∈ U, so that φ(q) = 0 ∈ V = B1(0) ⊂ R m. Then h = (φ −1 ) ∗ (gU ) is a Riemannian metric on V so that (V, h) is isometric to (U, g|U ). Let λ = inf{ the smallest eigenvalue of the matrix (hij )x | x ∈ B1/2(0)}. Then for any x ∈ B1/2(0) and any X ∈ TxV , we have ⟨X, X⟩h = hijX iX j ≥ X i λ(X i ) 2 = λ⟨X, X⟩g0 . For any piecewise smooth curve γ starting from 0 = φ(q) and ending at some point on ∂B1/2(0), and ˜γ be the first portion of the curve γ that sits totally in B1/2(0) (so ˜γ is a piecewise smooth curve that starts at q and still ends at some point on ∂B1/2(0)), reparametrized with parameters in [0, 1]. Then Lengthh (γ) ≥ Lengthh (˜γ) = Z 1 0 q ⟨γ, ˜˙ γ˜˙⟩hdt ≥ √ λ Z 1 0 q ⟨γ, ˜˙ γ˜˙⟩g0 dt = √ λ Lengthg0 (˜γ) ≥ √ λ 2 . Since any curve from p to q must intersect φ(∂B1/2(0)) at some point, we conclude dist(p, q) ≥ √ λ 2 > 0, as desired. □ Remark. Obviously if φ : (M, gM) → (N, gN ) is an isometry, and dM, dN are the corresponding distance functions, then φ : (M, dM) → (N, dN ) is distance preserving in the sense that distN (φ(p), φ(q)) = distM(p, q), ∀p, q ∈ M. It turns out that the converse is also true, again proven by Myers and Steenrod in 1939: 1Here we used that any manifold is Hausdorff. For a non-Hausdorff locally Euclidean space like “the line with two origins”, the two origins would have distance zero if we define a “Riemannian distance” as above

LECTURE3:THERIEMANNIANDISTANCE5Theorem (Myers-Steenrod). Let (M,gm) and (N,gn) be Riemann-ian manifolds,and dist,distn bethe corresponding distancefunc-tions.If:(M,distm)→(N,dist)is surjective and distance-preserving, then it is an isometry (and in particular it is smooth).In other words, the concept“isometry" in the world of Riemannian geometry coin-cides with the concept “isometry"in the world of metric spaces.Their proof wassimplified and the theorem was strengthened by Palais in 1959 toTheorem (Palais). The Riemannian distance of a Riemannian manifold determines its structure as a manifold (the smooth structure)and itsRiemannianmetric.Remark.Onemayfurtheraskthefollowingquestion:Given a metric d on a smooth manifold M, is it true that d can berealized as the Riemannian distance for some Riemannian metric g?The answer is no: Consider the taxicab metric on IR2. Then any two points can beconnected by infinitely many"shortest curves".On the other hand, as we will seelater, on a Riemannian manifold, near any point there is a neighborhood in whichany point can be connected to the given point by a unique shortest curve.I Continuity of the distance function.We may further study the topology generated by the metric dist. First we proveProposition 2.3.For any fired p, the functionf() = dist(p)is continuous on M (with respect to the manifold topology))Proof. Since manifolds are second countable, it is enough to prove sequential con-tinuity of f.As in the proof of the previous theorem we take a coordinate patch(, U, V) centered at q with p(U) = V = Bi(O) c Rm. Let qi be a sequence of pointsthat tends to g with respect to the manifold topology, i.e. for any k, there existsN(k) such that for all i ≥ N(k), p(qi) E Bi/k(O). We want to prove f(q) → f(q).By triangle inequality (see (c) above), we haveIf(qi) -f(q)/ ≤dist(q, qi).So itsuffices toprovedist(q,qi)→0as i→oo.Again we let h = (-1)*(glu) be the induced metric on V. DenoteA=sup(thegreatest eigenvalueof thematrix (hi)r|reBr/2()Then for any r e By/2(o) and any X e TV, we have(X, X)h ≤A(X,X)g0:So if we take%: [0, 1] -→ V, %(t) = tp(qi)
LECTURE 3: THE RIEMANNIAN DISTANCE 5 Theorem (Myers-Steenrod). Let (M, gM) and (N, gN ) be Riemannian manifolds, and distM, distN be the corresponding distance functions. If φ : (M, distM) → (N, distN ) is surjective and distancepreserving, then it is an isometry (and in particular it is smooth). In other words, the concept “isometry” in the world of Riemannian geometry coincides with the concept “isometry” in the world of metric spaces. Their proof was simplified and the theorem was strengthened by Palais in 1959 to Theorem (Palais). The Riemannian distance of a Riemannian manifold determines its structure as a manifold (the smooth structure) and its Riemannian metric. Remark. One may further ask the following question: Given a metric d on a smooth manifold M, is it true that d can be realized as the Riemannian distance for some Riemannian metric g? The answer is no: Consider the taxicab metric on R 2 . Then any two points can be connected by infinitely many “shortest curves”. On the other hand, as we will see later, on a Riemannian manifold, near any point there is a neighborhood in which any point can be connected to the given point by a unique shortest curve. ¶ Continuity of the distance function. We may further study the topology generated by the metric dist. First we prove Proposition 2.3. For any fixed p, the function f(·) = dist(·, p) is continuous on M (with respect to the manifold topology). Proof. Since manifolds are second countable, it is enough to prove sequential continuity of f. As in the proof of the previous theorem we take a coordinate patch (φ, U, V ) centered at q with φ(U) = V = B1(0) ⊂ R m. Let qi be a sequence of points that tends to q with respect to the manifold topology, i.e. for any k, there exists N(k) such that for all i ≥ N(k), φ(qi) ∈ B1/k(0). We want to prove f(qi) → f(q). By triangle inequality (see (c) above), we have |f(qi) − f(q)| ≤ dist(q, qi). So it suffices to prove dist(q, qi) → 0 as i → ∞. Again we let h = (φ −1 ) ∗ (g|U ) be the induced metric on V . Denote Λ = sup{the greatest eigenvalue of the matrix (hij )x | x ∈ B1/2(0)}. Then for any x ∈ B1/2(0) and any X ∈ TxV , we have ⟨X, X⟩h ≤ Λ⟨X, X⟩g0 . So if we take γ˜i : [0, 1] → V, γ˜i(t) = tφ(qi)

6LECTURE3:THERIEMANNIANDISTANCEbe the “straight line segment" from 0 = (q) to (qi), then for i ≥ N(k),Lengh() - i.i)au V/ /hi,i)ioat - A Lengha() bSince : (U,g)→ (V,h) is an isometry, we conclude thatdist(q, qi)≤ Length(-1 0%) = Lengthn(%) ≤ V/k,口for all i ≥ N(k). This completes the proof.Remark. The distance functions dist(,p) are among the most important functions(maybe the only natural geometric functions) on a Riemannian manifold. Note the triangleinequality implies that the“distance to p"function f(q)= dist(p,q) is not onlycontinuous,but also Lipschitz continuous (with respect to the distance). One mayfurther ask: are they smooth? Even in the Euclidean case, it is obvious that dist(,p)is not smooth at r =p(this singularity can be eliminated by considering f2).On the otherhand.as wewill seelater,thisfunction is smooth in a“punctured neighborhood'U-(p) near p, but might have singularities at other points.Erample.Consider the round sphere (S?,ground). Let p= (O,O,-1)be the southpole. It is easy to see that for q = (r, y, z),f(q) = d(p,q) = (1 - arccos z) = π(1 - arccos V1- r2 - y2)which is not smooth at both the south pole and the north pole. [In fact for any compactRiemannian manifold, the function d,() = dist(p, -) is not smooth at some point q + p. Since therestriction of Euclidean distance function dEuc(p, ) to S2 is smooth on S?- (p), we conclude thatthe restriction of the Euclidean distance function to S? is NOT the Riemannian distance for anyRiemannian metric on s2!I The metric topology.As a consequence of the continuity, we proveCorollary 2.4. The metric topology on M induced by the metric dist coincides withthe manifold topology on M.Proof.The continuity of f()= dist(p,)implies that any metric open ball is alsoopen in the manifold topology.Conversely, for any (manifold)open neighborhoodU of q in M, by shrinking U we may assume U is a coordinate neighborhood and(, U, V = Bi(0)) is a coordinate chart. Repeat the proof of Theorem 2.2 we see anypoint p g U must have distance d(p, @) ≥ V/2, which is equivalent to say that themetric open ball of radius V/2 sits in U. So the two topologies on M coincide. We will call the metric ballB(q,r) = (p E M / dist(p, q) <r)a geodesic ball of radius r centered at q. For r small it has the topology of anEuclidean ball, while for r large it may have very complicated topology
6 LECTURE 3: THE RIEMANNIAN DISTANCE be the “straight line segment” from 0 = φ(q) to φ(qi), then for i ≥ N(k), Lengthh (˜γi) = Z 1 0 q ⟨γ˜˙ i , γ˜˙ i⟩hdt ≤ √ Λ Z 1 0 q ⟨γ˜˙ i , γ˜˙ i⟩g0 dt = √ Λ Lengthg0 (˜γi) ≤ √ Λ k . Since φ : (U, g) → (V, h) is an isometry, we conclude that dist(q, qi) ≤ Lengthg (φ −1 ◦ γ˜i) = Lengthh (˜γi) ≤ √ Λ/k, for all i ≥ N(k). This completes the proof. □ Remark. The distance functions dist(·, p) are among the most important functions (maybe the only natural geometric functions) on a Riemannian manifold. Note the triangle inequality implies that the “distance to p” function f(q) = dist(p, q) is not only continuous, but also Lipschitz continuous (with respect to the distance). One may further ask: are they smooth? Even in the Euclidean case, it is obvious that dist(·, p) is not smooth at x = p(this singularity can be eliminated by considering f 2 ). On the other hand, as we will see later, this function is smooth in a “punctured neighborhood” U − {p} near p, but might have singularities at other points. Example. Consider the round sphere (S 2 , ground). Let p = (0, 0, −1) be the south pole. It is easy to see that for q = (x, y, z), f(q) = d(p, q) = π(1 − arccos z) = π(1 − arccos p 1 − x 2 − y 2 ) which is not smooth at both the south pole and the north pole. [In fact for any compact Riemannian manifold, the function dp(·) = dist(p, ·) is not smooth at some point q ̸= p. Since the restriction of Euclidean distance function dEuc(p, ·) to S 2 is smooth on S 2 − {p}, we conclude that the restriction of the Euclidean distance function to S 2 is NOT the Riemannian distance for any Riemannian metric on S 2 ! ¶ The metric topology. As a consequence of the continuity, we prove Corollary 2.4. The metric topology on M induced by the metric dist coincides with the manifold topology on M. Proof. The continuity of f(·) = dist(p, ·) implies that any metric open ball is also open in the manifold topology. Conversely, for any (manifold) open neighborhood U of q in M, by shrinking U we may assume U is a coordinate neighborhood and (φ, U, V = B1(0)) is a coordinate chart. Repeat the proof of Theorem 2.2 we see any point p ̸∈ U must have distance d(p, q) ≥ √ λ/2, which is equivalent to say that the metric open ball of radius √ λ/2 sits in U. So the two topologies on M coincide. □ We will call the metric ball B(q, r) = {p ∈ M | dist(p, q) < r} a geodesic ball of radius r centered at q. For r small it has the topology of an Euclidean ball, while for r large it may have very complicated topology