Podcast
Questions and Answers
According to the content, what is the crucial distinction between elementary catastrophes and classical stable-singularities?
According to the content, what is the crucial distinction between elementary catastrophes and classical stable-singularities?
- Elementary catastrophes are always unstable, whereas classical stable-singularities are always stable.
- Classical stable-singularities are explained in Chapter 7, while elementary catastrophes are verified for stability in Chapter 9.
- Elementary catastrophes can be stable within the space of catastrophe maps but unstable under broader perturbations allowed in the space of all smooth maps, unlike classical stable-singularities. (correct)
- Classical stable-singularities are induced by germs, while elementary catastrophes are not.
All maps from $R^r$ to $R^r$ can be induced by a function, making the space of catastrophe maps ($C$) identical to the space of all $C^\infty$ maps ($M$).
All maps from $R^r$ to $R^r$ can be induced by a function, making the space of catastrophe maps ($C$) identical to the space of all $C^\infty$ maps ($M$).
False (B)
What two elementary catastrophes coincide with stable-singularities when $r = 2$, according to Whitney?
What two elementary catastrophes coincide with stable-singularities when $r = 2$, according to Whitney?
fold and cusp
The elliptic umbilic starts as an unstable germ and unfolds to a stable-germ $R^2 x ~3 + ~ ~3$, or equivalently to a germ $f: R^2 x R^3 + ~$, eventually inducing the elementary catastrophe germ $Xf: ______ + ______$.
The elliptic umbilic starts as an unstable germ and unfolds to a stable-germ $R^2 x ~3 + ~ ~3$, or equivalently to a germ $f: R^2 x R^3 + ~$, eventually inducing the elementary catastrophe germ $Xf: ______ + ______$.
Match the following terms related to catastrophe theory with their descriptions:
Match the following terms related to catastrophe theory with their descriptions:
What does the symbol 'xi' represent in the given context?
What does the symbol 'xi' represent in the given context?
The ideal 'm' is equivalent to the ideal generated by the germs x1, ..., xn.
The ideal 'm' is equivalent to the ideal generated by the germs x1, ..., xn.
According to Corollary 2.4, what generates the ideal $m^k$?
According to Corollary 2.4, what generates the ideal $m^k$?
According to Corollary 2.5, $m^k$ is a finitely generated ______-module.
According to Corollary 2.5, $m^k$ is a finitely generated ______-module.
What does $j^k$ denote in the provided context?
What does $j^k$ denote in the provided context?
Based on Lemma 2.6, $j^k$ is a finite-dimensional real vector space.
Based on Lemma 2.6, $j^k$ is a finite-dimensional real vector space.
Match the following terms related to ideals and rings:
Match the following terms related to ideals and rings:
Which of the following statements is true about $7^k$ according to Lemma 2.6?
Which of the following statements is true about $7^k$ according to Lemma 2.6?
If $E_k$ is defined by polynomials in variables ${a_l}$, where each $a_i \in \mathbb{R}$, what kind of set is $E_k$ in the real vector space $I_k$?
If $E_k$ is defined by polynomials in variables ${a_l}$, where each $a_i \in \mathbb{R}$, what kind of set is $E_k$ in the real vector space $I_k$?
The mapping $\eta: m^2 \rightarrow I_k$ is not equivariant with respect to groups G and $G_k$.
The mapping $\eta: m^2 \rightarrow I_k$ is not equivariant with respect to groups G and $G_k$.
According to Theorem 3.7, if $\eta(m^2)$ and $cod \ n = c$ where $0 \leq c \leq k-2$, what is the codimension of $\eta G_k$ in $I_k$?
According to Theorem 3.7, if $\eta(m^2)$ and $cod \ n = c$ where $0 \leq c \leq k-2$, what is the codimension of $\eta G_k$ in $I_k$?
The set $I_k$ is the disjoint union of $P O_k \cup S_k \cup ... \cup E_{kk-l}$, where each $S_k$ is the difference between two __________ varieties.
The set $I_k$ is the disjoint union of $P O_k \cup S_k \cup ... \cup E_{kk-l}$, where each $S_k$ is the difference between two __________ varieties.
Given that rank of matrix M < K, which statement accurately describes the K-minors of M?
Given that rank of matrix M < K, which statement accurately describes the K-minors of M?
According to Lemma 2.11, $T(\eta G_k) \neq \eta(mA)$ where $A = A(n)$.
According to Lemma 2.11, $T(\eta G_k) \neq \eta(mA)$ where $A = A(n)$.
If $\eta$ is k-determinate, according to Theorem 2.9, what is the relationship between $m^{k+1}$ and $mA$?
If $\eta$ is k-determinate, according to Theorem 2.9, what is the relationship between $m^{k+1}$ and $mA$?
Match the following terms with their descriptions:
Match the following terms with their descriptions:
Given that $qD(0) \neq 0$ and $\partial^{(j)}s_i(0) \neq 0$, what can be inferred about the matrix $(\partial^{(j)}s_i(0))$?
Given that $qD(0) \neq 0$ and $\partial^{(j)}s_i(0) \neq 0$, what can be inferred about the matrix $(\partial^{(j)}s_i(0))$?
If $r_j(x, \epsilon) = 0$, it implies that $\delta_i(0)$ must be non-zero.
If $r_j(x, \epsilon) = 0$, it implies that $\delta_i(0)$ must be non-zero.
Near 0 in $R^n$, if $q(0) \neq 0$, how can $P(t,x)$ be expressed in terms of $D(t,x)$ and $q(t, x)$?
Near 0 in $R^n$, if $q(0) \neq 0$, how can $P(t,x)$ be expressed in terms of $D(t,x)$ and $q(t, x)$?
Given $E(t,x) = q_E(t,x,\theta)P_k(t,0) + r_E(t,x,\theta)$, and $D(t,x) = q(t,x)P(t,x)$, then $E(t,x) = q(t,x)D(t,x) + ______$.
Given $E(t,x) = q_E(t,x,\theta)P_k(t,0) + r_E(t,x,\theta)$, and $D(t,x) = q(t,x)P(t,x)$, then $E(t,x) = q(t,x)D(t,x) + ______$.
Match the following expressions with their equivalent forms:
Match the following expressions with their equivalent forms:
Given $f = u + iv$, where $f: E \rightarrow E$ and $u, v: E \rightarrow \mathbb{R}$, which expression correctly represents $\frac{\partial u}{\partial z}$?
Given $f = u + iv$, where $f: E \rightarrow E$ and $u, v: E \rightarrow \mathbb{R}$, which expression correctly represents $\frac{\partial u}{\partial z}$?
If $D(t, 0) = qD(t, 0, \epsilon)(t + \sum_{i=0}^{k-1} s_i t^i) + \sum_{i=0}^{k-1} s_i(i)t^i$, differentiating $D(t, 0)$ with respect to $t$ and setting $t = 0$ results in $\frac{\partial}{\partial t}D(t,0)|_{t=0} = qD(0)$.
If $D(t, 0) = qD(t, 0, \epsilon)(t + \sum_{i=0}^{k-1} s_i t^i) + \sum_{i=0}^{k-1} s_i(i)t^i$, differentiating $D(t, 0)$ with respect to $t$ and setting $t = 0$ results in $\frac{\partial}{\partial t}D(t,0)|_{t=0} = qD(0)$.
Express $r(t, x)$ in terms of $r_i(x)$ and $t$, given that $r(t,x) = r_E(t,x,\theta) = \sum_{i=0}^{k-1} r_i(x,\theta)t^i$ and $r_i(x) = r_i(x,\theta)$.
Express $r(t, x)$ in terms of $r_i(x)$ and $t$, given that $r(t,x) = r_E(t,x,\theta) = \sum_{i=0}^{k-1} r_i(x,\theta)t^i$ and $r_i(x) = r_i(x,\theta)$.
Which of the following conditions ensures that $F$ is $C^{\infty}$ near 0, according to Lemma 2?
Which of the following conditions ensures that $F$ is $C^{\infty}$ near 0, according to Lemma 2?
If $y \in W$, then each term of $\frac{\partial^{\mid \alpha \mid}F(y)}{\partial y^{\alpha}}$ contains a factor $\frac{\partial^{\mid \alpha \mid} }{\partial y^{\alpha}}(0,...,0, y_{k+1},...,y_n)$ and this factor equals to 0.
If $y \in W$, then each term of $\frac{\partial^{\mid \alpha \mid}F(y)}{\partial y^{\alpha}}$ contains a factor $\frac{\partial^{\mid \alpha \mid} }{\partial y^{\alpha}}(0,...,0, y_{k+1},...,y_n)$ and this factor equals to 0.
According to the content, what is the value of $\frac{\partial^{\mid \alpha \mid} y^{\alpha}}{\partial y^{\alpha}}|_{y_1=...=y_j=0}$ if at least one $y_i \neq 0$?
According to the content, what is the value of $\frac{\partial^{\mid \alpha \mid} y^{\alpha}}{\partial y^{\alpha}}|_{y_1=...=y_j=0}$ if at least one $y_i \neq 0$?
In Lemma 4, what condition must a vector field $X$ satisfy to ensure the existence of a $C^{\infty}$ function $F$?
In Lemma 4, what condition must a vector field $X$ satisfy to ensure the existence of a $C^{\infty}$ function $F$?
In the proof of Lemma 4, $F(t,x)$ is initially defined as $e^{tX}f$, which can be expressed as $\sum_{k=0}^{\infty} \frac{t^k}{______}$
In the proof of Lemma 4, $F(t,x)$ is initially defined as $e^{tX}f$, which can be expressed as $\sum_{k=0}^{\infty} \frac{t^k}{______}$
What is the purpose of using Lemma 2 in the proof related to the function $E(t,x)$?
What is the purpose of using Lemma 2 in the proof related to the function $E(t,x)$?
Match the terms with their descriptions related to the properties of functions and vector fields:
Match the terms with their descriptions related to the properties of functions and vector fields:
According to the content, what is a key property of $\frac{\partial E(t,x)}{\partial z}$?
According to the content, what is a key property of $\frac{\partial E(t,x)}{\partial z}$?
Given $z = s + it$, what does the expression $2a = a_i + i \tilde{a}$ represent?
Given $z = s + it$, what does the expression $2a = a_i + i \tilde{a}$ represent?
The coordinate change from $(z, k)$ to $(z, u, k')$, where $u = P(z, k)$ and $k' = (k_1, ..., k_{k-1})$, is valid because $\frac{\partial u}{\partial k} \neq 0$.
The coordinate change from $(z, k)$ to $(z, u, k')$, where $u = P(z, k)$ and $k' = (k_1, ..., k_{k-1})$, is valid because $\frac{\partial u}{\partial k} \neq 0$.
In the context of extending functions $E$, $F$, and $G$, what condition must $F$ satisfy regarding $E$?
In the context of extending functions $E$, $F$, and $G$, what condition must $F$ satisfy regarding $E$?
The goal is to find functions $F(z, x, l)$ and $G(z, x, l)$ that agree to ______ order on ${P_k(z, k) = 0}$.
The goal is to find functions $F(z, x, l)$ and $G(z, x, l)$ that agree to ______ order on ${P_k(z, k) = 0}$.
What is the significance of $M = F|_{{P_k(z,k)=0}}$ vanishing to infinite order on ${P_k(z,k) = 0}$?
What is the significance of $M = F|_{{P_k(z,k)=0}}$ vanishing to infinite order on ${P_k(z,k) = 0}$?
The condition that $\frac{\partial u}{\partial z} \neq 0$ is necessary to ensure the transversal intersection of ${Im z = 0}$ and ${u = 0}$ in $\mathbb{R}^{2k+2}$.
The condition that $\frac{\partial u}{\partial z} \neq 0$ is necessary to ensure the transversal intersection of ${Im z = 0}$ and ${u = 0}$ in $\mathbb{R}^{2k+2}$.
What is the purpose of Lemma 3 in the context of constructing functions $F$ and $G$?
What is the purpose of Lemma 3 in the context of constructing functions $F$ and $G$?
Match the conditions on F and G with their descriptions:
Match the conditions on F and G with their descriptions:
Flashcards
Germs (in Catastrophe Theory)
Germs (in Catastrophe Theory)
Functions classified by Mather that induce elementary catastrophes.
Stable Singularity
Stable Singularity
A singularity that remains qualitatively unchanged under small perturbations.
Elementary Catastrophe
Elementary Catastrophe
A singularity found in catastrophe maps, stable within that subspace, but potentially unstable under broader perturbations.
Space of all C^∞ maps (M)
Space of all C^∞ maps (M)
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Space of Catastrophe Maps (C)
Space of Catastrophe Maps (C)
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Lemma
Lemma
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Constant Function
Constant Function
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C-Infinity Function
C-Infinity Function
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Vector Field
Vector Field
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Multivariable Function
Multivariable Function
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Induction
Induction
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Vanishing to Infinite Order
Vanishing to Infinite Order
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Independent Variable
Independent Variable
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Coordinates ( x_i ) in ( \mathbb{R}^n )
Coordinates ( x_i ) in ( \mathbb{R}^n )
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Coordinate Function ( x_i(x) )
Coordinate Function ( x_i(x) )
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Germ of ( x_i ) at 0
Germ of ( x_i ) at 0
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k-jet of a Germ
k-jet of a Germ
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Ideal ( (x_1, ..., x_n) )
Ideal ( (x_1, ..., x_n) )
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( \mathcal{J}^k )
( \mathcal{J}^k )
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Canonical Projection ( j^k )
Canonical Projection ( j^k )
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Structure of ( \mathcal{J}^k )
Structure of ( \mathcal{J}^k )
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z = s + it
z = s + it
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2 a_= a_ + i ~a
2 a_= a_ + i ~a
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Agreement to Infinite Order
Agreement to Infinite Order
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F as Extension of E
F as Extension of E
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M Vanishing on a Set
M Vanishing on a Set
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Coordinate Transformation
Coordinate Transformation
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F = G to infinite order
F = G to infinite order
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Matrix M (alj,k)
Matrix M (alj,k)
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o(z) < K
o(z) < K
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Ek
Ek
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Ik Disjoint Union
Ik Disjoint Union
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Sk
Sk
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Equivariant Map
Equivariant Map
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zGk
zGk
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Theorem 3.7
Theorem 3.7
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Lower Triangular Matrix
Lower Triangular Matrix
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Functions 8i(x)
Functions 8i(x)
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q(t,x)
q(t,x)
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P(t,x)
P(t,x)
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f = u + iv
f = u + iv
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Du/dz
Du/dz
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E(t,x)
E(t,x)
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ri(x)
ri(x)
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Study Notes
- The Classification of Elementary Catastrophes of Codimension ≤ 5 were written by Christopher Zeeman, from the University of Warwick, in Coventry, England.
- These notes were written and revised by David Trotman.
- The purpose of the notes is to give a minimal complete proof of the classification theorem from first principles.
- All results are proved, including those which are not standard theorems of differential topology.
- The theorem is stated in Chapter 1 in a form useful for applications.
Elementary Catastrophes
- Elementary catastrophes are singularities of smooth maps R^r -> R.
- They arise from stationary values of r-dimensional families of functions on a manifold.
- They also come from fixed points of r-dimensional families of gradient dynamical systems on a manifold.
- They are central to the bifurcation theory of ordinary differential equations.
- The case where r = 4 is important for applications parametrized by space-time.
- René Thom realized elementary catastrophes and recognized their importance.
- By 1963, Thom realized they could be finitely classified for r ≤ 4 with polynomial germs (x^3, x^4, x^5, x^6, x^3 + xy^2, x^2 + y^4).
- Thom sources of inspiration included: Whitney's paper on stable singularities for r ≤ 2, his work extending these results to r > 2, light caustics, and biological morphogenesis.
- Thom conjectured the classification, but it took years to prove as mathematics needed to develop necessary tools.
- Catastrophe theory stimulated developments in bifurcation, singularities, unfoldings, and stratifications.
- The heart of the proof is the concept of unfoldings, due to Thom.
- The key result states that two transversal unfoldings are isomorphic, necessitating a C∞ version of the Weierstrass preparation theorem.
- Malgrange proved this around 1965, with simpler proofs contributed by Mather and others.
- The proof in Chapter 5 is mainly from [1].
- The preparation theorem synthesizes analysis into an algebraic tool, and enables construction of the geometric diffeomorphism required to prove two unfoldings equivalent.
- John Mather first wrote explicit construction and proof of the classification theorem around 1967.
- The essence of the proof is contained in his published papers about more general singularities.
- In 1967, Mather wrote an unpublished manuscript giving a minimal proof of the classification of the germs of functions that give rise to elementary catastrophes.
- The basic idea localizes functions to germs, then uses determinacy to reduce germs to jets, and reduce the ∞-dimensional problem in analysis to a finite dimensional problem in algebraic geometry.
- Mather paper is confined to the local problem of classifying germs of functions.
- Three steps are needed to put the theory in a usable form for applications.
- Need to globalize from germs back to functions.
- Need Thom transversality lemma
- Chapter 8 is based on Levine's exposition [2].
- The function germs, as classified by Mather, need to be related to induced elementary catastrophes (needed for the applications).
- The elliptic umbilic starts as an unstable germ R^2 -> R, unfolds to a stable-germ R^2 x R^3 -> R, and induces the elementary catastrophe germ Xf: R^3 -> R.
- Chapter 9 verifies the stability of the elementary catastrophes
- Elementary catastrophes are singularities, and stable, they differ from the stable-singularities.
- The unfolded germ is indeed a stable-singularity, but the induced catastrophe germ may not be.
- M denotes the space of all C∞ maps R^r -> R, C the subspace of catastrophe maps.
- C ⊄ M because not all maps can be induced by a function.
- A stable-singularity may appear in M but not in C, and therefore will not occur as an elementary catastrophe.
- An elementary catastrophe may appear in C, and be stable in C, but unstable if perturbations in M are allowed, and therefore will not occur as a stable-singularity.
- For r = 2 the two concepts accidentally coincide because only the fold and cusp are the two stable-singularities and elementary catastrophes.
- For r = 3 the concepts diverge, and for r = 4, there are 6 stable-singularities and 7 elementary catastrophes.
- The classification becomes infinite for r > 5
- Reason for keeping r≤ 5
- There are equivalence classes of singularities depending upon a continuous parameter.
- A finite classification is possible under topological equivalence, but applications need smooth classification in low dimensions.
- The theorem remains true when R^(n+r) is replaced by a bundle over an arbitrary r-manifold, with fibre an arbitrary n-manifold.
- A classification theorem classifies the types of singularity that most Xf can have.
- If Xf has singularity at (x,y) ∈ R^(n+r) ∩ Mf, then the equivalence class of Xf depends on the (right) equivalence class of η (Theorem 7.8).
- This requires the Malgrange Preparation Theorem, the Division Theorem (Chapter 5), and the category of unfoldings of a germ η (Chapter 6).
Classifying Germs
- Classify germs η of C∞ functions R,0 -> R,0.
- Use determinacy, codimension, and the jacobian ideal Δ(η).
- Δ(η) is the ideal spanned by ∂η/∂x1, ..., ∂η/∂xn in the local ring E of germs at 0 of C∞ functions R,0 -> R,0.
- The determinacy of a germ η the least integer k such that if any germ ξ has the same k-jet as η then ξ is right equivalent to η.
- Theorem 2.9 gives necessary and sufficient conditions for k-determinacy in terms of Δ.
- The codimension of η is the dimension of m/Δ, where m is the unique maximal ideal of E.
- Theorem states that det η ≥ 2 ≤ cod η in Lemma 3.1.
- If r ≤ 5 and f ∈ F*, then if η = f|Rxy, for any y ∈ R^r, then cod η ≤ r:.
- Since we can restrict to cod η ≤ 5 we need only look at 7-determined germs in the vector space J7 of 7-jets.
- Restrict to r ≤ 5, for if cod η ≥ 7 there are equivalence classes depending upon a continuous parameter.
- The definition of F* ensures that if r = 6 then each of these equivalence contains an f|Rxy for some y ∈ R^r and f ∈ F*.
Codimension and Determinacy
- Chapters discuss determinacy, with the main results on it completed in Chapter 4, and connectedness of the germs and catastrophe germs completed in Chapter 7.
- Finally in Chapter 9 the local stability of 𝑋_𝑓 is shown, i.e. it is stable under small perturbations of f.
- m_n is a maximal ideal of E_n.
- G_n is a group with multiplication induced by composition.
- k is least integer such that n us k-determinate.
- Jk is spaces of k-jets, or jet spaces.
- Tensors say that if they are right equivalent if they belong to the same G-orbit.
Stating Thom's Theorem
Definitions
- Let f : R^n × R^r -> R be a smooth function.
- Define M_f ⊂ R^(n+r) to be given by (∂f/∂x_1,...,∂f/∂x_n = 0), where x_1,...,x_n are coordinates for R_n.
- Let y_1,...,y_r be coordinates for R^r.
- Generically, M_f is an r-manifold because it is codimension n, given by n equations.
- Let X_f : M_f -> R^r be the map induced by projection R^(n+r)->R^r.
- We call 𝑋_f the catastrophe map of f.
- Let ℱ denote the space of C^∞-functions on R^(n+r) with the Whitney C^∞-topology.
- Theorem Given r <= 5, these is an open dense set ℱ in ℱ which we call generic functions.
- Statement 3:
- Mf is an r-manifold.
- Any singularity of 𝑋f is equivalent to one of a finite number of types called elementary catastrophes.
- 𝑋f is locally stable at all points of Mf with respect to small perturbations of f_
Equivalence of Maps
- Here equivalence means the following:
- Two maps 𝑋 : M -> N and 𝑋' : M' -> N' are equivalent if exist diffeomorphisms h,k such that the following diagram commutes: (diagram in notes).
- Note this means now suppose the maps 𝑋, 𝑋' have singularities at x, x' respectively, then the singularities are equivalent if this previous definition holds locally, i.e. hx=x'.
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Description
This quiz covers the key concepts related to catastrophe theory, including the distinctions between elementary catastrophes and stable-singularities and Whitney's findings. It also covers elliptic umbilics, and fundamental components such as the germs x1 and ideals m^k.