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Agglomeration in Racetrack Economy

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Abstract

The spatial agglomeration is investigated for a racetrack economy, comprising a number of cities equally spreading on the circumference of a circle, with micromechanism by Krugman’s core–periphery model. The group-theoretic bifurcation analysis procedure presented in Chap. 2 is applied to a problem with the dihedral group, expressing the symmetry of the racetrack economy. The theoretically possible agglomeration (bifurcation) patterns of this economy are predicted by using block-diagonalization, bifurcation equation, and equivariant branching lemma. Spatial period doubling bifurcation cascade is highlighted as the most characteristic progress of agglomeration. This chapter, as a whole, serves as an introduction to the methodology for a more general analysis in Chaps. 59 in Part II of an economy on a hexagonal lattice with a larger and more complicated symmetry group.

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Notes

  1. 1.

    Bifurcation behavior of systems with dihedral group symmetry has been studied fully in the literature of applied mathematics: e.g., Sattinger, 1979 [14], 1983 [15]; Healey, 1988 [7]; Golubitsky, Stewart, and Schaeffer, 1988 [6]; Dellnitz and Werner, 1989 [4]; and Ikeda and Murota, 2010 [8]. Sections 3.23.4 are adaptations of these results to the racetrack economy.

  2. 2.

    See Sect. 1.5.3 for the definition of interior and corner equilibria.

  3. 3.

    See Remark 3.3 for the proof.

  4. 4.

    The transformation matrix Q used here is an orthogonal matrix.

  5. 5.

    This corresponds to (2.98) with \(\boldsymbol{u} = \boldsymbol{\lambda }\), \(\boldsymbol{u}_{\mathrm{c}} = \boldsymbol{\lambda }_{0}\), \(\boldsymbol{w} = {w}^{(-,+)}\boldsymbol{{q}}^{(-,+)}\), and \(\overline{\boldsymbol{w}} =\sum _{ j=1}^{n/2-1}({w}^{(j),1}\boldsymbol{{q}}^{(j),1} + {w}^{(j),2}\boldsymbol{{q}}^{(j),2})\). The term \({w}^{(+,+)}\boldsymbol{{q}}^{(+,+)}\) is lacking due to the condition of no population growth in (3.4).

  6. 6.

    By (2.76) of Ikeda and Murota, 2010 [8], a simple critical point is classified as a bifurcation point if \(\boldsymbol{\xi }_{1}^{\,\top }(\partial \boldsymbol{F}/\partial \tau )_{\mathrm{c}} = 0\), and a limit point of τ if \(\boldsymbol{\xi }_{1}^{\,\top }(\partial \boldsymbol{F}/\partial \tau )_{\mathrm{c}}\neq 0\).

  7. 7.

    In the bifurcation equation (3.34) of pitchfork bifurcation, the term Cw in (3.49) is replaced by Bw 2.

  8. 8.

    When a stable equilibrium path becomes unstable at a critical point where a stable bifurcated path does not exist, the stable path often shifts dynamically to another stable path. This is called dynamical shift in this book.

  9. 9.

    Period tripling here means a special case with m = 3 of the bifurcation in (3.14) in Sect. 3.2.3, in which the spatial period becomes m times.

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Ikeda, K., Murota, K. (2014). Agglomeration in Racetrack Economy. In: Bifurcation Theory for Hexagonal Agglomeration in Economic Geography. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54258-2_3

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  • DOI: https://doi.org/10.1007/978-4-431-54258-2_3

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