Catastrophe Theory Concepts
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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 ($M$).

False (B)

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 $Xf: ______ + ______$.

<p>R^3, R^3</p> Signup and view all the answers

Match the following terms related to catastrophe theory with their descriptions:

<p>Germ = The essential, unstable starting point of a function before unfolding. Unfolding = The process by which an unstable germ is transformed into a stable form through the addition of parameters. Elementary Catastrophe = A stable singularity that can occur as an induced map. Stable-Singularity = A singularity that remains qualitatively unchanged under small perturbations.</p> Signup and view all the answers

What does the symbol 'xi' represent in the given context?

<p>All of the above (D)</p> Signup and view all the answers

The ideal 'm' is equivalent to the ideal generated by the germs x1, ..., xn.

<p>True (A)</p> Signup and view all the answers

According to Corollary 2.4, what generates the ideal $m^k$?

<p>All monomials in x of degree k</p> Signup and view all the answers

According to Corollary 2.5, $m^k$ is a finitely generated ______-module.

<p>E</p> Signup and view all the answers

What does $j^k$ denote in the provided context?

<p>The canonical projection E -&gt; 7k. (C)</p> Signup and view all the answers

Based on Lemma 2.6, $j^k$ is a finite-dimensional real vector space.

<p>True (A)</p> Signup and view all the answers

Match the following terms related to ideals and rings:

<p>m = Ideal generated by germs x1,...,xn $m^k$ = Ideal generated by all monomials of degree k $7^k$ = Quotient E/mk+1 $j^k$ = Canonical projection E -&gt; 7k</p> Signup and view all the answers

Which of the following statements is true about $7^k$ according to Lemma 2.6?

<p>It is a local ring with maximal ideal $j^k$ (D)</p> Signup and view all the answers

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 $I_k$?

<p>A real algebraic variety (A)</p> Signup and view all the answers

The mapping $\eta: m^2 \rightarrow I_k$ is not equivariant with respect to groups G and $G_k$.

<p>False (B)</p> Signup and view all the answers

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 $I_k$?

<p>c</p> Signup and view all the answers

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.

<p>algebraic</p> Signup and view all the answers

Given that rank of matrix M < K, which statement accurately describes the K-minors of M?

<p>All K-minors of M vanish. (B)</p> Signup and view all the answers

According to Lemma 2.11, $T(\eta G_k) \neq \eta(mA)$ where $A = A(n)$.

<p>False (B)</p> Signup and view all the answers

If $\eta$ is k-determinate, according to Theorem 2.9, what is the relationship between $m^{k+1}$ and $mA$?

<p>$m^{k+1} \subset mA$</p> Signup and view all the answers

Match the following terms with their descriptions:

<p>$E_k$ = Real algebraic variety formed by polynomials in ${a_i}$ $I_k$ = Real vector space of dimension $\frac{(n+k)!}{n!k!} - 1$ $\eta G_k$ = Submanifold of $I_k$ related to the orbit of $G$ $\eta: m^2 \rightarrow I_k$ = Equivariant map with respect to groups $G$ and $G_k$</p> Signup and view all the answers

Given that $qD(0) \neq 0$ and $\partial^{(j)}s_i(0) \neq 0$, what can be inferred about the matrix $(\partial^{(j)}s_i(0))$?

<p>It is a lower triangular matrix. (B)</p> Signup and view all the answers

If $r_j(x, \epsilon) = 0$, it implies that $\delta_i(0)$ must be non-zero.

<p>False (B)</p> Signup and view all the answers

Near 0 in $R^n$, if $q(0) \neq 0$, how can $P(t,x)$ be expressed in terms of $D(t,x)$ and $q(t, x)$?

<p>$P(t,x) = \frac{D(t,x)}{q(t,x)}$</p> Signup and view all the answers

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 $E(t,x) = q(t,x)D(t,x) + ______$.

<p>r(t,x)</p> Signup and view all the answers

Match the following expressions with their equivalent forms:

<p>$\frac{\partial u}{\partial z}$ = $\frac{1}{2}(\frac{\partial u}{\partial x} - i\frac{\partial u}{\partial y})$ $D(t,x)$ = $q(t,x)P(t,x)$ $E(t,x)$ = $q(t,x)D(t,x) + r(t,x)$</p> Signup and view all the answers

Given $f = u + iv$, where $f: E \rightarrow E$ and $u, v: E \rightarrow \mathbb{R}$, which expression correctly represents $\frac{\partial u}{\partial z}$?

<p>$\frac{1}{2}(\frac{\partial u}{\partial x} - i\frac{\partial u}{\partial y})$ (A)</p> Signup and view all the answers

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 $\frac{\partial}{\partial t}D(t,0)|_{t=0} = qD(0)$.

<p>False (B)</p> Signup and view all the answers

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 $r_i(x) = r_i(x,\theta)$.

<p>$r(t, x) = \sum_{i=0}^{k-1} r_i(x)t^i$</p> Signup and view all the answers

Which of the following conditions ensures that $F$ is $C^{\infty}$ near 0, according to Lemma 2?

<p>The sequence {$\lambda_i$} increases to infinity sufficiently rapidly. (A)</p> Signup and view all the answers

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.

<p>True (A)</p> Signup and view all the answers

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 $y_i \neq 0$?

<p>0 (D)</p> Signup and view all the answers

In Lemma 4, what condition must a vector field $X$ satisfy to ensure the existence of a $C^{\infty}$ function $F$?

<p>smooth coefficients</p> Signup and view all the answers

In the proof of Lemma 4, $F(t,x)$ is initially defined as $e^{tX}f$, which can be expressed as $\sum_{k=0}^{\infty} \frac{t^k}{______}$

<p>k!</p> Signup and view all the answers

What is the purpose of using Lemma 2 in the proof related to the function $E(t,x)$?

<p>To ensure $E(t,x)$ is $C^{\infty}$. (C)</p> Signup and view all the answers

Match the terms with their descriptions related to the properties of functions and vector fields:

<p>$\lambda_i$ = Elements of a sequence that increase rapidly to infinity for $C^{\infty}$ functions. $X$ = A vector field with smooth coefficients. $F(t,x)$ = A smooth function dependent on $t$ and $x$. $e^{tX}f$ = An initial expression for a function in Lemma 4.</p> Signup and view all the answers

According to the content, what is a key property of $\frac{\partial E(t,x)}{\partial z}$?

<p>vanishes to infinite order</p> Signup and view all the answers

Given $z = s + it$, what does the expression $2a = a_i + i \tilde{a}$ represent?

<p>A way to express $a$ in terms of its real and imaginary components, $a_i$ and $\tilde{a}$. (A)</p> Signup and view all the answers

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 $\frac{\partial u}{\partial k} \neq 0$.

<p>True (A)</p> Signup and view all the answers

In the context of extending functions $E$, $F$, and $G$, what condition must $F$ satisfy regarding $E$?

<p>F must be an extension of E.</p> Signup and view all the answers

The goal is to find functions $F(z, x, l)$ and $G(z, x, l)$ that agree to ______ order on ${P_k(z, k) = 0}$.

<p>infinite</p> Signup and view all the answers

What is the significance of $M = F|_{{P_k(z,k)=0}}$ vanishing to infinite order on ${P_k(z,k) = 0}$?

<p>It demonstrates that F is infinitely flat along the set defined by $P_k(z,k) = 0$. (C)</p> Signup and view all the answers

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 $\mathbb{R}^{2k+2}$.

<p>False (B)</p> Signup and view all the answers

What is the purpose of Lemma 3 in the context of constructing functions $F$ and $G$?

<p>To guarantee the existence of E agreeing to infinite order with G on u=0 and to infinite order with F on Im z=0.</p> Signup and view all the answers

Match the conditions on F and G with their descriptions:

<p>F and G agree to infinite order on ${P_k(z,k) = 0}$ = All derivatives of F and G match on this set. F is an extension of E = F coincides with E where E is defined and may extend beyond. $\frac{\partial F}{\partial z}$ vanishes to infinite order on ${Im z = 0}$ = The derivative of F flattens out along the real axis. $\frac{\partial G}{\partial z}$ vanishes to infinite order on ${P_k(z,k) = 0}$ = The derivative of G flattens out along the zero set of $P_k$.</p> Signup and view all the answers

Flashcards

Germs (in Catastrophe Theory)

Functions classified by Mather that induce elementary catastrophes.

Stable Singularity

A singularity that remains qualitatively unchanged under small perturbations.

Elementary Catastrophe

A singularity found in catastrophe maps, stable within that subspace, but potentially unstable under broader perturbations.

Space of all C^∞ maps (M)

The space of all smooth maps from R^r to R^r.

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Space of Catastrophe Maps (C)

The subspace of catastrophe maps, induced by a function. Not all maps can be induced by a function.

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Lemma

A result used in a proof, typically to simplify the main argument.

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Constant Function

A function where the value of the output does not change when an argument is passed to that function.

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C-Infinity Function

A function whose derivatives of all orders exist and are continuous.

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Vector Field

Representation of change along a vector field.

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Multivariable Function

A function in multiple variables.

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Induction

A technique to prove a statement by showing it holds for a base case and then proving that if it holds for one case, it holds for the next.

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Vanishing to Infinite Order

Vanishing to infinite order implies the function and all its derivatives are zero at a point.

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Independent Variable

A function whose value does not change with respect to a specific variable.

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Coordinates ( x_i ) in ( \mathbb{R}^n )

Coordinates in ( \mathbb{R}^n ) (linear or curvilinear).

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Coordinate Function ( x_i(x) )

Coordinate of ( x = (x_1, ..., x_n) ).

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Germ of ( x_i ) at 0

The germ of the function ( x_i ) at 0 in ( \mathbb{m} ).

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k-jet of a Germ

The k-jet of the germ (truncation of Taylor series at degree k).

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Ideal ( (x_1, ..., x_n) )

Ideal of ( E ) generated by the germs ( x_i ).

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( \mathcal{J}^k )

Quotient ring ( E/m^{k+1} ).

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Canonical Projection ( j^k )

Map ( E \rightarrow \mathcal{J}^k ).

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Structure of ( \mathcal{J}^k )

A local ring with maximal ideal ( \mathcal{j}^k ).

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z = s + it

Complex variable defined as the sum of a real part 's' and an imaginary part 'it'.

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2 a_= a_ + i ~a

A complex parameter related to 'a' and 'a_i'.

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Agreement to Infinite Order

Functions 'F' and 'G' agree to infinite order on the set where 'Pk(Z,%) = 0'.

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F as Extension of E

'F' is an extension of 'E'.

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M Vanishing on a Set

'M' vanishes to infinite order on {-- (z,~) = 0}.

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Coordinate Transformation

Coordinate change from (z,k) to (z,u,k'), where u = P(z,k).

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F = G to infinite order

Condition where F and G agree to infinite order.

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Matrix M (alj,k)

A matrix representing coordinates of vectors spanning (A + mk)/mk.

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o(z) < K

Relationship where the dimension of (A + mk)/mk is less than K, indicating a condition on rank.

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Ek

Ek is defined by polynomial equations in {aij,k}, making it a real algebraic variety.

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Ik Disjoint Union

A decomposition of Ik into disjoint subsets, including varieties Sk and Ek.

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Sk

The difference between two algebraic varieties, ~k and Ek.

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Equivariant Map

A map equivariant with respect to groups G and Gk, linking different spaces.

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zGk

The orbit of z under the action of G, forming a submanifold of Ik.

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Theorem 3.7

If n is in m2 with codimension c, then zGk is a submanifold of Ik with codimension c.

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Lower Triangular Matrix

A lower triangular matrix, a type of square matrix where all entries above the main diagonal are zero.

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Functions 8i(x)

Functions ( ,) ( (0 \tilde , k - i) ) that satisfy ( rj(x,e) \tilde 0 ) and ( 6(0) = 0 ).

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q(t,x)

Represented as ( q(t,x) = qD(t,x,8) ), it's a simplified expression using function 'qD' with inputs t, x, and 8.

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P(t,x)

Represented as ( P(t,x) = Pk(t,0) ), this is a polynomial function 'Pk' evaluated at 't' with 'x' and '0'.

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f = u + iv

A way to express a complex function f as the sum of its real (u) and imaginary (iv) parts, where u and v are functions of E that map to real numbers.

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Du/dz

Represented as ( {\frac {Du}{\partial z}}={\frac {Du}{\partial x}}-i{\frac {Du}{\partial y}} ), representing the complex derivative of u with respect to z.

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E(t,x)

Represented as ( E(t,x) = qE(t,x,0)Pk(t,O ) + rE(t,x,O )), where E is expressed in terms of qE, Pk and rE functions.

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ri(x)

Functions ri(x) derived from ri(x,8 ). These functions might represent coefficients in a polynomial expansion.

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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:
  1. Mf is an r-manifold.
  2. Any singularity of 𝑋f is equivalent to one of a finite number of types called elementary catastrophes.
  3. 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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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.

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