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Academic Year: | 2018/9 | |
Owning Department/School: | Department of Mathematical Sciences | |
Credits: | 6 [equivalent to 12 CATS credits] | |
Notional Study Hours: | 120 | |
Level: | Masters UG & PG (FHEQ level 7) | |
Period: |
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Assessment Summary: | EX 100% | |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | Before taking this module you must take MA40043 OR ( take MA20223 AND take MA30252 ) | |
Description: | Aims: To introduce students to modern PDE theory through the study of qualitative properties of solutions, principally those that derive from Maximum Principles. The treatment will be rigorous and will lead to specific nonlinear examples. Learning Outcomes: Students should be able to state definitions, and state and prove theorems, in the analysis of partial differential equations. They should be able to apply maximum principles to questions of existence, uniqueness, symmetry and boundedness/blow-up for solutions of PDE. Skills: Numeracy T/F, A Problem Solving T/F, A Written Communication F (on problem sheets). Content: Weak maximum principles for twice continuously differentiable solutions of linear elliptic PDE; interior ball property, Hopf boundary point lemma, strong maximum principles. Applications might include; uniqueness of solutions of linear Poisson equations; symmetry of non-negative solutions of nonlinear Poisson equation in a ball; Perron approach to existence. Maximum principles for parabolic equations; comparison theorem for nonlinear case. Applications might include: bounds for diffusive Burgers' equation via upper solutions; proof of blow-up for nonlinear diffusion equations via lower solutions; connection with similarity solutions; systems of reaction-diffusion equations. | Before taking this module you must take MA20218 AND take MA20219 AND take MA30041 AND take MA40043 |
Programme availability: |
MA40203 is Optional on the following programmes:Department of Computer Science
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Notes:
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