2015
DOI: 10.1088/1751-8113/48/33/335001
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Heat equation on a network using the Fokas method

Abstract: The problem of heat conduction on networks of multiply connected rods is solved by providing an explicit solution of the one-dimensional heat equation in each domain. The size and connectivity of the rods is known, but neither temperature nor heat flux are prescribed at the interface. Instead, the physical assumptions of continuity at the interfaces are the only conditions imposed. This work generalizes that of Deconinck, Pelloni, and Sheils [5] for heat conduction on a series of one-dimensional rods connect… Show more

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Cited by 23 publications
(31 citation statements)
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“…which are all valid for k ∈ D (r) . Evaluating (19) for t = s, multiplying by e ik 3 s , and integrating from 0 to t one obtains…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…which are all valid for k ∈ D (r) . Evaluating (19) for t = s, multiplying by e ik 3 s , and integrating from 0 to t one obtains…”
Section: Resultsmentioning
confidence: 99%
“…Few interface problems allow for an explicit closed-form solution using classical solution methods. Using the Fokas or Unified Transform Method [7,8,9], such solutions may be constructed for both dissipative and dispersive linear interface problems as shown in [3,6,13,16,17,18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Integrating the local relations (4) around the appropriate domain (see Fig. 3) and applying Green's Theorem, we find the global relations (5) and their evaluation at −k (6). In contrast to Section 2, these 2n + 2 global relations are all valid for k ∈ C. In addition to the definitions in Section 2, we define (1) x (x 0 , s) ds,…”
Section: The Heat Equation On a Finite Domain With N Interfacesmentioning
confidence: 99%
“…Using the Fokas method [1,2] such solutions may be constructed. This has been done in the case of the heat equation with n interfaces in infinite, finite, and periodic domains as well as on graphs [3][4][5][6][7]. The method has also been extended to dispersive problems [8,9], and higher order problems [10].…”
Section: Introductionmentioning
confidence: 99%
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