Crash Course in Riemannian Geometry Flashcards

1
Q

Define: Riemannian metric

A

Smooth assignment of inner product to each tangent space

pg 1-2

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2
Q

Examples of Riemannian metrics

A
  1. Poincare ball model of H^n
  2. Submanifolds and pullback metrics (from immersions)
  3. Products
  4. Invariant metrics on Lie groups

pg 2-4

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3
Q

Define: length of curve, Riemannian distance

Prove this is a metric

A

Distance = inf {length of curve between pts}

pg 5-6

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4
Q

Define: length-minimizing, locally length-minimizing

relation between two?

A

LM: Distance between endpoints points = length of curve

LLM: In epsilon balls, LM

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5
Q

Define: isometry

compare to metric isometry

A

pullback metric works - infinitesimally preserves distances

metric isometry = distances preserved.

Steenrod. Metric isometry => smooth & Riemannian isometry

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6
Q

Define: isometric embedding, totally geodesic embedding, totally geodesic submanifold

Relationships? Examples?

A

pg 8-10

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7
Q

Define: connection, Levi-Civita connection

A

pg 11

Look up in Lee

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8
Q

Define: geodesic

First variation?

Relation to length minimizing and locally length minimizing curves?

A

pg 12-13

Look up in Lee

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9
Q

Discuss finding geodesics - ODE

A

pg 14

Look up in Lee

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10
Q

Define: geodesically complete

examples/non-examples

A

Every geodesic defined on R

pg 16

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11
Q

What is Hopf-RInow Theorem?

A

geodesically complete <=> metrically complete

pg 17

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12
Q

Discuss exponential map. Why called exponential?

A

pg 17-18

Look up in Lee

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