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Towards a mathematical theory of seismic tomography on Mars IAS - - PowerPoint PPT Presentation

Towards a mathematical theory of seismic tomography on Mars IAS workshop at HKUST Inverse Problems, Imaging and Partial Differential Equations Joonas Ilmavirta May 21, 2019 Based on joint work with Maarten de Hoop and Vitaly Katsnelson JYU.


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SLIDE 1

Towards a mathematical theory of seismic tomography on Mars

IAS workshop at HKUST Inverse Problems, Imaging and Partial Differential Equations

Joonas Ilmavirta

May 21, 2019

Based on joint work with

Maarten de Hoop and Vitaly Katsnelson

  • JYU. Since 1863.
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SLIDE 2

Finnish Centre of Excellence in Inverse Modelling and Imaging

2018-2025 2018-2025

Finland

  • ❍❍❍❍❍❍❍

✁ ✁ ✁ ✁

✏ ✏ ✏ ✏ ✏ ✏

✁ ✁ ✁ ✁ ✁ ✁ ✁

❍ ❍ ❍ ❍ ❍ ❍ ❍

❵ ❵ ❵ ❵ ❵

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SLIDE 3

Conference announcement

The annual Finnish inverse problems conference “Inverese Days” will be

  • rganized in Jyväskylä this year.

16–18 December, 2019.

https://www.jyu.fi/science/en/maths/research/ inverse-problems/id2019/inverse-days-2019 http://r.jyu.fi/yVK

All kinds of inverse problems in all fields are welcome!

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 0 /∞
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SLIDE 4

Goals

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 1 /∞
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SLIDE 5

Goals

We have a single seismometer on Mars and we want a reliable reconstruction of the planet’s interior, backed up by a theory.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 1 /∞
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SLIDE 6

Goals

We have a single seismometer on Mars and we want a reliable reconstruction of the planet’s interior, backed up by a theory. Assume perfect measurements from a single ideal seismometer. What can you say for sure and is there an inversion algorithm?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 1 /∞
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SLIDE 7

Goals

We have a single seismometer on Mars and we want a reliable reconstruction of the planet’s interior, backed up by a theory. Assume perfect measurements from a single ideal seismometer. What can you say for sure and is there an inversion algorithm? What would be useful data sets for future missions?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 1 /∞
slide-8
SLIDE 8

Goals

We have a single seismometer on Mars and we want a reliable reconstruction of the planet’s interior, backed up by a theory. Assume perfect measurements from a single ideal seismometer. What can you say for sure and is there an inversion algorithm? What would be useful data sets for future missions? Grand goal: A mathematical theory of seismic planetary exploration.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 1 /∞

.

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SLIDE 9

Outline

1

Seeing the radial Martian mantle with InSight

2

Seeing the entire planet

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 2 /∞
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SLIDE 10

A small but reliable step

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 3 /∞
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SLIDE 11

A small but reliable step

The InSight lander has deployed its seismic instrument SEIS on Mars in late 2018. We want to figure out the structure of the planet from the data.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 3 /∞
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SLIDE 12

A small but reliable step

The InSight lander has deployed its seismic instrument SEIS on Mars in late 2018. We want to figure out the structure of the planet from the data. There are methods to find a model to match data. How do we know that the obtained reconstruction is the only possible one? And is there a way to reconstruct directly?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 3 /∞
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SLIDE 13

A small but reliable step

The InSight lander has deployed its seismic instrument SEIS on Mars in late 2018. We want to figure out the structure of the planet from the data. There are methods to find a model to match data. How do we know that the obtained reconstruction is the only possible one? And is there a way to reconstruct directly? Mars is roughly spherically symmetric. There are reliable ways to reconstruct a radial model of the (upper) mantle from a single station. (The mantle determines the CMB.)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 3 /∞
slide-14
SLIDE 14

A small but reliable step

The InSight lander has deployed its seismic instrument SEIS on Mars in late 2018. We want to figure out the structure of the planet from the data. There are methods to find a model to match data. How do we know that the obtained reconstruction is the only possible one? And is there a way to reconstruct directly? Mars is roughly spherically symmetric. There are reliable ways to reconstruct a radial model of the (upper) mantle from a single station. (The mantle determines the CMB.) I will ignore noise, model errors, finiteness, stability, and many other practical things.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 3 /∞

.

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SLIDE 15

Method A: Linearized travel time tomography

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞
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SLIDE 16

Method A: Linearized travel time tomography

All kinds of noise and events generate seismic waves which travel around the planet and reflect at the surface and interfaces.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞
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SLIDE 17

Method A: Linearized travel time tomography

All kinds of noise and events generate seismic waves which travel around the planet and reflect at the surface and interfaces. Some of these waves are periodic. Calculating temporal correlations

  • f noise tells which periods are present.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞
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SLIDE 18

Method A: Linearized travel time tomography

All kinds of noise and events generate seismic waves which travel around the planet and reflect at the surface and interfaces. Some of these waves are periodic. Calculating temporal correlations

  • f noise tells which periods are present.

If the seismometer can measure directions, we also know the directions corresponding to the periodic travel times.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞
slide-19
SLIDE 19

Method A: Linearized travel time tomography

All kinds of noise and events generate seismic waves which travel around the planet and reflect at the surface and interfaces. Some of these waves are periodic. Calculating temporal correlations

  • f noise tells which periods are present.

If the seismometer can measure directions, we also know the directions corresponding to the periodic travel times. Data: Pairs of directions (≈ angle from normal) and times. Uknown: Wave speed (≈ geometry).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞
slide-20
SLIDE 20

Method A: Linearized travel time tomography

All kinds of noise and events generate seismic waves which travel around the planet and reflect at the surface and interfaces. Some of these waves are periodic. Calculating temporal correlations

  • f noise tells which periods are present.

If the seismometer can measure directions, we also know the directions corresponding to the periodic travel times. Data: Pairs of directions (≈ angle from normal) and times. Uknown: Wave speed (≈ geometry). The set of all periodic travel times is the length spectrum.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 4 /∞

.

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SLIDE 21

Method A: Linearized travel time tomography

Wave speed variations define a geometry: The distance between any two points is the shortest wave travel time between them.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 5 /∞
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SLIDE 22

Method A: Linearized travel time tomography

Wave speed variations define a geometry: The distance between any two points is the shortest wave travel time between them. This geometry is conformally Euclidean if the material is isotropic.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 5 /∞
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SLIDE 23

Method A: Linearized travel time tomography

Wave speed variations define a geometry: The distance between any two points is the shortest wave travel time between them. This geometry is conformally Euclidean if the material is isotropic. Reconstructing the wave speed from travel time data is hard, even with data everywhere on the surface.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 5 /∞
slide-24
SLIDE 24

Method A: Linearized travel time tomography

Wave speed variations define a geometry: The distance between any two points is the shortest wave travel time between them. This geometry is conformally Euclidean if the material is isotropic. Reconstructing the wave speed from travel time data is hard, even with data everywhere on the surface. Solution: Linearize!

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 5 /∞
slide-25
SLIDE 25

Method A: Linearized travel time tomography

Wave speed variations define a geometry: The distance between any two points is the shortest wave travel time between them. This geometry is conformally Euclidean if the material is isotropic. Reconstructing the wave speed from travel time data is hard, even with data everywhere on the surface. Solution: Linearize! Linearized data: Pairs of periodic broken rays and integrals over them. Uknown: Variations of wave speed (a function).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 5 /∞

.

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SLIDE 26

Method A: Linearized travel time tomography

Periodic seismic ray reflecting on the surface and CMB.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 6 /∞

.

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SLIDE 27

Method A: Linearized travel time tomography

Theorem (de Hoop–I., 2017)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 7 /∞
slide-28
SLIDE 28

Method A: Linearized travel time tomography

Theorem (de Hoop–I., 2017)

If the mantle satisfies the Herglotz condition, then the integrals over periodic broken rays determine a radial function uniquely.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 7 /∞
slide-29
SLIDE 29

Method A: Linearized travel time tomography

Theorem (de Hoop–I., 2017)

If the mantle satisfies the Herglotz condition, then the integrals over periodic broken rays determine a radial function uniquely. If the Herglotz condition d

dr(r/c(r)) > 0 is valid down to some depth, then

the result is valid down to that depth. At least the upper mantle should satisfy the condition.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 7 /∞
slide-30
SLIDE 30

Method A: Linearized travel time tomography

Theorem (de Hoop–I., 2017)

If the mantle satisfies the Herglotz condition, then the integrals over periodic broken rays determine a radial function uniquely. If the Herglotz condition d

dr(r/c(r)) > 0 is valid down to some depth, then

the result is valid down to that depth. At least the upper mantle should satisfy the condition. Solving the linearized problem gives an iterative algorithm to solve the nonlinear one. (Uniqueness should be provable for the non-linear one, too.)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 7 /∞

.

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SLIDE 31

Method B: Spectral data

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞
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SLIDE 32

Method B: Spectral data

Like Earth, Mars has free oscillations.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞
slide-33
SLIDE 33

Method B: Spectral data

Like Earth, Mars has free oscillations. The oscillations are excited by marsquakes, atmosphere, meteorite impacts, and other possible events.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞
slide-34
SLIDE 34

Method B: Spectral data

Like Earth, Mars has free oscillations. The oscillations are excited by marsquakes, atmosphere, meteorite impacts, and other possible events. The oscillations can be decomposed into eigenmodes which have their own frequencies.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞
slide-35
SLIDE 35

Method B: Spectral data

Like Earth, Mars has free oscillations. The oscillations are excited by marsquakes, atmosphere, meteorite impacts, and other possible events. The oscillations can be decomposed into eigenmodes which have their own frequencies. The different modes are excited differently in different events, but one thing remains: the set of frequencies — the spectrum of free

  • scillations. (We are at first interested in properties of the planet, not

properties of the events.)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞
slide-36
SLIDE 36

Method B: Spectral data

Like Earth, Mars has free oscillations. The oscillations are excited by marsquakes, atmosphere, meteorite impacts, and other possible events. The oscillations can be decomposed into eigenmodes which have their own frequencies. The different modes are excited differently in different events, but one thing remains: the set of frequencies — the spectrum of free

  • scillations. (We are at first interested in properties of the planet, not

properties of the events.) The spectrum of free oscillations can be measured from any single point.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 8 /∞

.

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SLIDE 37

Method B: Spectral data

Mathematically, the spectrum of free oscillations corresponds to the Neumann spectrum of the Laplace–Beltrami operator on a manifold.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 9 /∞
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SLIDE 38

Method B: Spectral data

Mathematically, the spectrum of free oscillations corresponds to the Neumann spectrum of the Laplace–Beltrami operator on a manifold. If the sound speed is isotropic, then g = c−2e and the Laplace–Beltrami operator in dimension n is

∆gu(x) = c(x)n div(c(x)2−n∇u(x)).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 9 /∞
slide-39
SLIDE 39

Method B: Spectral data

Mathematically, the spectrum of free oscillations corresponds to the Neumann spectrum of the Laplace–Beltrami operator on a manifold. If the sound speed is isotropic, then g = c−2e and the Laplace–Beltrami operator in dimension n is

∆gu(x) = c(x)n div(c(x)2−n∇u(x)).

We assume that the wave speed is radial: c = c(r).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 9 /∞
slide-40
SLIDE 40

Method B: Spectral data

Mathematically, the spectrum of free oscillations corresponds to the Neumann spectrum of the Laplace–Beltrami operator on a manifold. If the sound speed is isotropic, then g = c−2e and the Laplace–Beltrami operator in dimension n is

∆gu(x) = c(x)n div(c(x)2−n∇u(x)).

We assume that the wave speed is radial: c = c(r). Again wave speed = geometry!

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 9 /∞

.

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SLIDE 41

Method B: Spectral data

Question

Does the spectrum of free oscillations determine c(r) globally? How about just the mantle?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 10 /∞
slide-42
SLIDE 42

Method B: Spectral data

Question

Does the spectrum of free oscillations determine c(r) globally? How about just the mantle? For simplicity, I will assume that we measure the spectrum of the mantle and that the mantle satisfies the Herglotz condition.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 10 /∞
slide-43
SLIDE 43

Method B: Spectral data

Question

Does the spectrum of free oscillations determine c(r) globally? How about just the mantle? For simplicity, I will assume that we measure the spectrum of the mantle and that the mantle satisfies the Herglotz condition. (Neither should really be necessary.)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 10 /∞
slide-44
SLIDE 44

Method B: Spectral data

Question

Does the spectrum of free oscillations determine c(r) globally? How about just the mantle? For simplicity, I will assume that we measure the spectrum of the mantle and that the mantle satisfies the Herglotz condition. (Neither should really be necessary.)

Question

If a family of wave speeds cs(r) have the same spectrum, are the equal? Is the (Martian) mantle spectrally rigid?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 10 /∞

.

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SLIDE 45

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 11 /∞
slide-46
SLIDE 46

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 11 /∞
slide-47
SLIDE 47

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition. If each cs gives rise to the same spectrum (of the corresponding Laplace–Beltrami operator), then cs = c0 for all s.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 11 /∞
slide-48
SLIDE 48

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition. If each cs gives rise to the same spectrum (of the corresponding Laplace–Beltrami operator), then cs = c0 for all s. This simple model of the round Martian mantle is spectrally rigid!

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 11 /∞

.

slide-49
SLIDE 49

Method B: Spectral data

Lemma (Trace formula)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 12 /∞
slide-50
SLIDE 50

Method B: Spectral data

Lemma (Trace formula)

Let λ0 < λ1 ≤ λ2 ≤ . . . be the positive eigenvalues of the Laplace–Beltrami operator. Define a function f : R → R by

f(t) =

  • k=0

cos

  • λk · t
  • .

Assume that the radial sound speed c satisfies some generic conditions.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 12 /∞
slide-51
SLIDE 51

Method B: Spectral data

Lemma (Trace formula)

Let λ0 < λ1 ≤ λ2 ≤ . . . be the positive eigenvalues of the Laplace–Beltrami operator. Define a function f : R → R by

f(t) =

  • k=0

cos

  • λk · t
  • .

Assume that the radial sound speed c satisfies some generic conditions. The function f(t) = tr(∂tG) is singular precisely at the length spectrum.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 12 /∞
slide-52
SLIDE 52

Method B: Spectral data

Lemma (Trace formula)

Let λ0 < λ1 ≤ λ2 ≤ . . . be the positive eigenvalues of the Laplace–Beltrami operator. Define a function f : R → R by

f(t) =

  • k=0

cos

  • λk · t
  • .

Assume that the radial sound speed c satisfies some generic conditions. The function f(t) = tr(∂tG) is singular precisely at the length spectrum. In particular, the spectrum determines the length spectrum. It suffices to prove length spectral rigidity.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 12 /∞

.

slide-53
SLIDE 53

Method B: Spectral data

Neumann eigenfunctions for the interval [0, 1

2] with k = 0, 1, 2, 3, 4.

The length spectrum is Z.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 13 /∞

.

slide-54
SLIDE 54

Method B: Spectral data

Trace function f(t) =

k cos

√λk · t

  • computed from k = 0, 1, 2, 3, 4.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 14 /∞

.

slide-55
SLIDE 55

Method B: Spectral data

The trace computed from the spectrum of free oscillations in PREM. Singularities are visible.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 15 /∞

.

slide-56
SLIDE 56

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 16 /∞
slide-57
SLIDE 57

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 16 /∞
slide-58
SLIDE 58

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition. If each cs gives rise to the same length spectrum, then cs = c0 for all s.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 16 /∞
slide-59
SLIDE 59

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition. If each cs gives rise to the same length spectrum, then cs = c0 for all s. The proof boils down to method A: A radial function is determined by its integrals over periodic broken rays.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 16 /∞
slide-60
SLIDE 60

Method B: Spectral data

Theorem (de Hoop–I.–Katsnelson, 2017)

Consider the annulus (mantle) M = ¯

B(0, 1) \ B(0, R) ⊂ R3. Let cs(r) be

a family of radial sound speeds depending C∞-smoothly on both

s ∈ (−ε, ε) and r ∈ [R, 1]. Assume each cs satisfies the Herglotz condition

and a generic geometrical condition. If each cs gives rise to the same length spectrum, then cs = c0 for all s. The proof boils down to method A: A radial function is determined by its integrals over periodic broken rays. The data set is independent although the method is related.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 16 /∞

.

slide-61
SLIDE 61

Method C: Meteorite impacts

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 17 /∞
slide-62
SLIDE 62

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 17 /∞
slide-63
SLIDE 63

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts. We do not know the exact form of the source, but we know that it is sharply localized in space and time. This makes geometric methods more useful than PDE ones.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-64
SLIDE 64

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts. We do not know the exact form of the source, but we know that it is sharply localized in space and time. This makes geometric methods more useful than PDE ones. An orbiter can verify the impact position, but time will be unknown apart from rough windowing.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 17 /∞
slide-65
SLIDE 65

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts. We do not know the exact form of the source, but we know that it is sharply localized in space and time. This makes geometric methods more useful than PDE ones. An orbiter can verify the impact position, but time will be unknown apart from rough windowing. Surface waves will come from the event to InSight two ways along the great circle containing the impact site and InSight.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 17 /∞
slide-66
SLIDE 66

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts. We do not know the exact form of the source, but we know that it is sharply localized in space and time. This makes geometric methods more useful than PDE ones. An orbiter can verify the impact position, but time will be unknown apart from rough windowing. Surface waves will come from the event to InSight two ways along the great circle containing the impact site and InSight. If there are no other events on the same great circle around the same time, we can measure the time difference δ.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 17 /∞
slide-67
SLIDE 67

Method C: Meteorite impacts

Seismic events with known sources are another source of information, and the most useful type seems to be meteorite impacts. We do not know the exact form of the source, but we know that it is sharply localized in space and time. This makes geometric methods more useful than PDE ones. An orbiter can verify the impact position, but time will be unknown apart from rough windowing. Surface waves will come from the event to InSight two ways along the great circle containing the impact site and InSight. If there are no other events on the same great circle around the same time, we can measure the time difference δ. Multiple arrivals or a priori information tells the time T around the great circle.

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  • JYU. Since 1863. | May 21, ’19 | 17 /∞

.

slide-68
SLIDE 68

Method C: Meteorite impacts

Two surface wave arrivals from the same event.

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.

slide-69
SLIDE 69

Method C: Meteorite impacts

The two great circle distances from InSight to the impact are 1

2(T ∓ δ).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-70
SLIDE 70

Method C: Meteorite impacts

The two great circle distances from InSight to the impact are 1

2(T ∓ δ).

Assuming the seismometer can detect directions of surface wave arrivals, we can deduce the time and place of the event.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-71
SLIDE 71

Method C: Meteorite impacts

The two great circle distances from InSight to the impact are 1

2(T ∓ δ).

Assuming the seismometer can detect directions of surface wave arrivals, we can deduce the time and place of the event. This was all done on surface, and it gives rise to interior data: Now using body waves we know the travel time between InSight and the source.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 19 /∞
slide-72
SLIDE 72

Method C: Meteorite impacts

The two great circle distances from InSight to the impact are 1

2(T ∓ δ).

Assuming the seismometer can detect directions of surface wave arrivals, we can deduce the time and place of the event. This was all done on surface, and it gives rise to interior data: Now using body waves we know the travel time between InSight and the source. To get here, we needed to assume spherical symmetry only on the surface, but the arising problem is easiest to solve if the symmetry extends inside.

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.

slide-73
SLIDE 73

Method C: Meteorite impacts

The body wave whose initial point and time were located with surface waves.

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.

slide-74
SLIDE 74

Method C: Meteorite impacts

This travel time information is enough to determine a radial wave

  • speed. (Herglotz, 1905)

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slide-75
SLIDE 75

Method C: Meteorite impacts

This travel time information is enough to determine a radial wave

  • speed. (Herglotz, 1905)

The linearized problem is X-ray tomography (or an Abel transform), and can also be solved explicitly. (e.g. de Hoop–I., 2017)

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slide-76
SLIDE 76

Summary

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slide-77
SLIDE 77

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 22 /∞
slide-78
SLIDE 78

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails. Proofs work for one wave speed, the results should hold for polarized waves.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 22 /∞
slide-79
SLIDE 79

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails. Proofs work for one wave speed, the results should hold for polarized waves. In the Earth the Herglotz condition is satisfied in the whole mantle for both P and S. On Mars it will at least hold in the upper mantle.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 22 /∞
slide-80
SLIDE 80

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails. Proofs work for one wave speed, the results should hold for polarized waves. In the Earth the Herglotz condition is satisfied in the whole mantle for both P and S. On Mars it will at least hold in the upper mantle. The three methods use independently obtained datasets.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 22 /∞
slide-81
SLIDE 81

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails. Proofs work for one wave speed, the results should hold for polarized waves. In the Earth the Herglotz condition is satisfied in the whole mantle for both P and S. On Mars it will at least hold in the upper mantle. The three methods use independently obtained datasets. If the three reconstructions all work and give similar results, we can be quite confident.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 22 /∞
slide-82
SLIDE 82

Summary

We have three methods to obtain the wave speed c(r) in the mantle down to the depth where the Herglotz condition first fails. Proofs work for one wave speed, the results should hold for polarized waves. In the Earth the Herglotz condition is satisfied in the whole mantle for both P and S. On Mars it will at least hold in the upper mantle. The three methods use independently obtained datasets. If the three reconstructions all work and give similar results, we can be quite confident. This gives us an isotropic radially symmetric reference model of the mantle, which is a stepping stone towards deeper and finer structure.

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.

slide-83
SLIDE 83

Summary

Three ways to see the mantle from InSight.

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.

slide-84
SLIDE 84

Summary

A: From noise correlations to (linearized) travel times. B: From spectrum to length spectrum. C: Meteorites; body wave data calibrated by surface waves.

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slide-85
SLIDE 85

Outline

1

Seeing the radial Martian mantle with InSight

2

Seeing the entire planet

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slide-86
SLIDE 86

Spectral perturbation theory

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-87
SLIDE 87

Spectral perturbation theory

Proving precise results outside spherical symmetry with one measurement point is hard.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-88
SLIDE 88

Spectral perturbation theory

Proving precise results outside spherical symmetry with one measurement point is hard. A natural approach to small lateral inhomogeneities is perturbation theory with respect to to a spherically symmetric reference model.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-89
SLIDE 89

Spectral perturbation theory

Proving precise results outside spherical symmetry with one measurement point is hard. A natural approach to small lateral inhomogeneities is perturbation theory with respect to to a spherically symmetric reference model. In a simple (scalar) model, the medium is described by a single wave speed c(x) and the spectrum depends on it: Sp(c).

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 26 /∞
slide-90
SLIDE 90

Spectral perturbation theory

Proving precise results outside spherical symmetry with one measurement point is hard. A natural approach to small lateral inhomogeneities is perturbation theory with respect to to a spherically symmetric reference model. In a simple (scalar) model, the medium is described by a single wave speed c(x) and the spectrum depends on it: Sp(c). We write the wave speed as a function of a parameter, cs(x), and expand the spectrum in s:

Sp(cs) = Sp(c0) + sL(δc) + O(s2),

where δc = d

dscs|s=0, L is the Gâteaux derivative of the spectrum,

and ‘+’ is roughly a plus.

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.

slide-91
SLIDE 91

Spectral perturbation theory

If the reference medium c0 is known and s is small, it is sufficient(ish) to invert the linear operator L.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-92
SLIDE 92

Spectral perturbation theory

If the reference medium c0 is known and s is small, it is sufficient(ish) to invert the linear operator L. On Mars, c0 would be the radial reference model.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 27 /∞
slide-93
SLIDE 93

Spectral perturbation theory

If the reference medium c0 is known and s is small, it is sufficient(ish) to invert the linear operator L. On Mars, c0 would be the radial reference model. The better the radial (or other initial) guess is, the better the perturbation theory works.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 27 /∞
slide-94
SLIDE 94

Spectral perturbation theory

If the reference medium c0 is known and s is small, it is sufficient(ish) to invert the linear operator L. On Mars, c0 would be the radial reference model. The better the radial (or other initial) guess is, the better the perturbation theory works. The perturbation δc can be expanded in spherical harmonics and the

  • perator L can be written fairly explicitly.

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.

slide-95
SLIDE 95

Spectral perturbation theory

Question

If c0 is radial and satisfies the Herglotz condition, how uniquely does L(δc) determine δc?

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slide-96
SLIDE 96

Spectral perturbation theory

Question

If c0 is radial and satisfies the Herglotz condition, how uniquely does L(δc) determine δc? First observations:

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 28 /∞
slide-97
SLIDE 97

Spectral perturbation theory

Question

If c0 is radial and satisfies the Herglotz condition, how uniquely does L(δc) determine δc? First observations: There is freedom to rotate.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 28 /∞
slide-98
SLIDE 98

Spectral perturbation theory

Question

If c0 is radial and satisfies the Herglotz condition, how uniquely does L(δc) determine δc? First observations: There is freedom to rotate. The antisymmetric part of δc plays no role.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 28 /∞
slide-99
SLIDE 99

Spectral perturbation theory

Question

If c0 is radial and satisfies the Herglotz condition, how uniquely does L(δc) determine δc? First observations: There is freedom to rotate. The antisymmetric part of δc plays no role. It is best to start with a scalar model in 2D, not a fully polarized 3D model.

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.

slide-100
SLIDE 100

Half-local X-ray tomography

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slide-101
SLIDE 101

Half-local X-ray tomography

Recall the third method for reconstructing the radial mantle.

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slide-102
SLIDE 102

Half-local X-ray tomography

Recall the third method for reconstructing the radial mantle. We assumed that the surface is spherically symmetric (or otherwise known), but we needed no assumption on the interior.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-103
SLIDE 103

Half-local X-ray tomography

Recall the third method for reconstructing the radial mantle. We assumed that the surface is spherically symmetric (or otherwise known), but we needed no assumption on the interior. This leads to travel time data: The travel times (geometrically: distances) are known from all points on the surface to a single fixed point.

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.

slide-104
SLIDE 104

Half-local X-ray tomography

The body wave whose initial point and time were located with surface waves.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 30 /∞

.

slide-105
SLIDE 105

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Is the metric uniquely determined by the distances between a fixed boundary point and all other boundary points?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-106
SLIDE 106

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Is the metric uniquely determined by the distances between a fixed boundary point and all other boundary points?

Question

What if the point is replaced by a small open set — a detector array?

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slide-107
SLIDE 107

Half-local X-ray tomography

Boundary distance rigidity: Do the distances between all boundary points determine the geometry?

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slide-108
SLIDE 108

Half-local X-ray tomography

We have an accessible region — a measurement array. The size is exaggerated.

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.

slide-109
SLIDE 109

Half-local X-ray tomography

In the local boundary distance problem one knows the distances between the points in the small set and wants to find the geometry near that set.

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slide-110
SLIDE 110

Half-local X-ray tomography

The “half-local” boundary distance data has more information and one wants to reconstruct the whole geometry.

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.

slide-111
SLIDE 111

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Does the half-local boundary distance data for any open subset U ⊂ ∂M determine the manifold uniquely?

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slide-112
SLIDE 112

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Does the half-local boundary distance data for any open subset U ⊂ ∂M determine the manifold uniquely? We can linearize:

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-113
SLIDE 113

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Does the half-local boundary distance data for any open subset U ⊂ ∂M determine the manifold uniquely? We can linearize:

Question

Let M be a Riemannian (or Finsler) manifold with boundary and fix an

  • pen subset U ⊂ ∂M. Do the integrals over all maximal geodesics with
  • ne endpoint in U determine a function or a tensor field uniquely?

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slide-114
SLIDE 114

Half-local X-ray tomography

Question

Let M be a Riemannian (or Finsler) manifold with boundary. Does the half-local boundary distance data for any open subset U ⊂ ∂M determine the manifold uniquely? We can linearize:

Question

Let M be a Riemannian (or Finsler) manifold with boundary and fix an

  • pen subset U ⊂ ∂M. Do the integrals over all maximal geodesics with
  • ne endpoint in U determine a function or a tensor field uniquely?

This is possible in Euclidean geometry or with real analytic perturbations but always unstable.

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slide-115
SLIDE 115

Sources and receivers

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slide-116
SLIDE 116

Sources and receivers

With InSight we have one stationary receiver and no artificial sources.

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slide-117
SLIDE 117

Sources and receivers

With InSight we have one stationary receiver and no artificial sources. If we could have a small number of receivers and perhaps some artificial sources, how to place them?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 37 /∞
slide-118
SLIDE 118

Sources and receivers

With InSight we have one stationary receiver and no artificial sources. If we could have a small number of receivers and perhaps some artificial sources, how to place them? Several measurement points could be used to remove symmetry as in the spectral problem.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 37 /∞
slide-119
SLIDE 119

Sources and receivers

With InSight we have one stationary receiver and no artificial sources. If we could have a small number of receivers and perhaps some artificial sources, how to place them? Several measurement points could be used to remove symmetry as in the spectral problem. What is the minimal number of measurement points for uniqueness?

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.

slide-120
SLIDE 120

Layers

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slide-121
SLIDE 121

Layers

Planets like Earth and Mars have layers.

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slide-122
SLIDE 122

Layers

Planets like Earth and Mars have layers. Most geometrical inverse problems work with smooth manifolds. How to add conormal singularities and finite interior regularity?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-123
SLIDE 123

Layers

Planets like Earth and Mars have layers. Most geometrical inverse problems work with smooth manifolds. How to add conormal singularities and finite interior regularity? How does spectral rigidity and X-ray tomography work in an onion?

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.

slide-124
SLIDE 124

Geometrization

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slide-125
SLIDE 125

Geometrization

In many contexts (travel times, spectrum, . . . ) the measurements only see the wave speeds.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 39 /∞
slide-126
SLIDE 126

Geometrization

In many contexts (travel times, spectrum, . . . ) the measurements only see the wave speeds. The speeds can be encoded as geometry where distance is time and geodesics are seismic rays.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 39 /∞
slide-127
SLIDE 127

Geometrization

In many contexts (travel times, spectrum, . . . ) the measurements only see the wave speeds. The speeds can be encoded as geometry where distance is time and geodesics are seismic rays. What is the correct geometrical structure exactly?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 39 /∞
slide-128
SLIDE 128

Geometrization

In many contexts (travel times, spectrum, . . . ) the measurements only see the wave speeds. The speeds can be encoded as geometry where distance is time and geodesics are seismic rays. What is the correct geometrical structure exactly? In a strongly anisotropic medium Riemannian geometry is not enough, but we need Finsler.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 39 /∞
slide-129
SLIDE 129

Geometrization

In many contexts (travel times, spectrum, . . . ) the measurements only see the wave speeds. The speeds can be encoded as geometry where distance is time and geodesics are seismic rays. What is the correct geometrical structure exactly? In a strongly anisotropic medium Riemannian geometry is not enough, but we need Finsler. . . . and even Finsler is not enough for all polarizations.

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.

slide-130
SLIDE 130

Geometry of periodic geodesic

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slide-131
SLIDE 131

Geometry of periodic geodesic

Question

Put any metric on the unit sphere and fix a point on it. How many directions are there so that the geodesic will make it back to the point?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 40 /∞
slide-132
SLIDE 132

Geometry of periodic geodesic

Question

Put any metric on the unit sphere and fix a point on it. How many directions are there so that the geodesic will make it back to the point?

Question

How many periodic broken rays are there on a simple Riemannian manifold? How about broken rays that return to their initial point?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 40 /∞
slide-133
SLIDE 133

Geometry of periodic geodesic

Question

Put any metric on the unit sphere and fix a point on it. How many directions are there so that the geodesic will make it back to the point?

Question

How many periodic broken rays are there on a simple Riemannian manifold? How about broken rays that return to their initial point?

Question

How does X-ray tomography change when Anosov flow is replaced by dispersing billiards?

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.

slide-134
SLIDE 134

A theory?

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

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slide-135
SLIDE 135

A theory?

We have taken the first steps towards a theory of tomography on Mars or any other planet or moon.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 41 /∞
slide-136
SLIDE 136

A theory?

We have taken the first steps towards a theory of tomography on Mars or any other planet or moon. We do not have

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 41 /∞
slide-137
SLIDE 137

A theory?

We have taken the first steps towards a theory of tomography on Mars or any other planet or moon. We do not have

a complete geometrical theory of elasticity

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 41 /∞
slide-138
SLIDE 138

A theory?

We have taken the first steps towards a theory of tomography on Mars or any other planet or moon. We do not have

a complete geometrical theory of elasticity, nor a good mathematical theory of seismic planetary exploration

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 41 /∞
slide-139
SLIDE 139

A theory?

We have taken the first steps towards a theory of tomography on Mars or any other planet or moon. We do not have

a complete geometrical theory of elasticity, nor a good mathematical theory of seismic planetary exploration

yet.

Joonas Ilmavirta (University of Jyväskylä) Seismology on Mars

  • JYU. Since 1863. | May 21, ’19 | 41 /∞

.

slide-140
SLIDE 140

DISCOVERING MATH at JYU.Since 1863.

Slides and papers available at

http://users.jyu.fi/~jojapeil