Abstract
A general mathematical framework of bifurcation analysis that is to be employed throughout the book is presented. In particular, the Liapunov–Schmidt reduction is introduced as a tool to derive bifurcation equation. Perfect and imperfect bifurcation behaviors at simple critical points are investigated asymptotically in view of the leading terms of the power series expansion of this equation. This chapter lays a theoretical foundation of Chaps. 3–6 and is extended to a system with group symmetry in Chaps. 8 and 9.
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Notes
- 1.
This term, “Liapunov–Schmidt reduction,” is widely accepted in nonlinear mathematics (e.g., Sattinger, 1979 [167]; Chow and Hale, 1982 [26]; and Golubitsky and Schaeffer, 1985 [55]). In structural mechanics, it is called the “Liapunov–Schmidt–Koiter reduction ” (e.g., Peek and Kheyrkhahan, 1993 [155]) or the “elimination of passive coordinates ” (e.g., Thompson and Hunt, 1973 [181]; Thompson, 1982 [180]; El Naschie, 1990 [43]; and Godoy, 2000 [54]).
- 2.
- 3.
ε can be negative until Chap. 3. In later chapters, ε is assumed to be nonnegative in considering the worst imperfection and random imperfection.
- 4.
In structural mechanics, the Jacobian matrix is called the tangent stiffness matrix and the imperfection is called the initial imperfection .
- 5.
See, for example, Oden and Ripperger, 1981 [145, Theorem VIII, page 305].
- 6.
It is assumed in (2.11) that F = (F i∣i = 1, …, N) is a column vector and ∂U∕∂ u = (∂U∕∂u i∣i = 1, …, N) is a row vector.
- 7.
The influence of the weight of structural members is ignored here and in the remainder of this book.
- 8.
It is intended that {η j} be a basis of the space of the vectors u, and that {ξ j} be a basis of the (dual) space of the values of the function F.
- 9.
Such is almost always the case with practical examples. Mathematically, however, (2.60) represents a restrictive assumption. For example, the bifurcation equation \(w^{2} - {\tilde {f\,}}^{4} = 0\) gives \( \tilde {f}= \pm \sqrt {|w|}\), which is not smooth at w = 0.
- 10.
Stated precisely, it is necessary to distinguish column and row vectors in the expression (2.66). Nevertheless it seems more comprehensive as it is.
- 11.
By the definition (2.71), we may replace \(\tilde {F}\) with \(\hat {F}\).
- 12.
- 13.
The point is considered degenerate if A 200 = 0; in particular, it is a stationary point if A 200 = 0 and A 300 ≠ 0.
- 14.
- 15.
The relation between bifurcation and symmetry is treated systematically in Part II.
- 16.
The imperfection parameter vector v is suppressed in (2.124), as it is kept fixed in the following argument.
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Ikeda, K., Murota, K. (2019). Local Behavior Around Simple Critical Points. In: Imperfect Bifurcation in Structures and Materials. Applied Mathematical Sciences, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-030-21473-9_2
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