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Hiroshi Fujita

Hiroshi Fujita is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hiroshi Fujita rather than just read about it. In short: Hiroshi Fujita (Japanese: 藤田 宏, Hepburn: Fujita Hiroshi) (born 7 December 1928 in Osaka) is a retired Japanese mathematician who worked in partial differential equations. He obtained his Ph.D. at the University of Tokyo, under the supervision of Tosio Kato.

Key takeaways

  • Hiroshi Fujita belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hiroshi Fujita to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hiroshi Fujita from memory before moving on to harder problems.

Reference excerpt

Hiroshi Fujita (Japanese: 藤田 宏, Hepburn: Fujita Hiroshi) (born 7 December 1928 in Osaka) is a retired Japanese mathematician who worked in partial differential equations. He obtained his Ph.D. at the University of Tokyo, under the supervision of Tosio Kato.

Mathematical contributions His most widely cited paper, published in 1966, studied the partial differential equation

∂ u ∂ t = ∂ 2 u ∂ x 1 2 + ⋯ + ∂ 2 u ∂ x n 2 + u p , {\displaystyle {\frac {\partial u}{\partial t}}={\frac {\partial ^{2}u}{\partial x_{1}^{2}}}+\cdots +{\frac {\partial ^{2}u}{\partial x_{n}^{2}}}+u^{p},}

and showed that there is a "threshold" value p0 > 1 for which p > p0 implies the existence of nonconstant solutions which exist for all positive t and all real values of the x variables. By contrast, if p is between 1 and p0 then such solutions cannot exist. This paper initiated the study of similar and analogous phenomena for various parabolic and hyperbolic partial differential equations. The impact of Fujita's paper is described by the well-known survey articles of Levine (1990) and Deng & Levine (2000). In collaboration with Kato, Fujita applied the semigroup approach in evolutionary partial differential equations to the Navier–Stokes equations of fluid mechanics. They found the existence of unique locally defined strong solutions under certain fractional derivative-based assumptions on the initial velocity. Their approach has been adopted by other influential works, such as Giga & Miyakawa (1985), to allow for different assumptions on the initial velocity. The full understanding of the smoothness and maximal extension of such solutions is currently considered as a major problem of partial differential equations and mathematical physics.

Selected publications Tosio Kato and Hiroshi Fujita. On the nonstationary Navier-Stokes system. Rend. Sem. Mat. Univ. Padova 32 (1962), 243–260. Hiroshi Fujita and Tosio Kato. On the Navier-Stokes initial value problem. I. Arch. Rational Mech. Anal. 16 (1964), 269–315. Hiroshi Fujita. On the blowing up of solutions of the Cauchy problem for ut = Δu + u1+α. J. Fac. Sci. Univ. Tokyo Sect. I 13 (1966), 109–124. Mathematical theory of sedimentation analysis (book) Functional-Analytic Methods for Partial Differential Equations (1990, Springer), Proceedings of a Conference and a Symposium held in Tokyo, Japan, July 3–9, 1989. Edited by Hiroshi Fujita, Teruo Ikebe and Shige T. Kuroda. Proceedings of the Ninth International Congress on Mathematical Education, Edited by Hiroshi Fujita et al.

References

Worked examples

Example 1 — a first encounter with Hiroshi Fujita

Start with the simplest possible case. Write down what Hiroshi Fujita claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hiroshi Fujita before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hiroshi Fujita ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hiroshi Fujita

In research
Hiroshi Fujita appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hiroshi Fujita in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hiroshi Fujita is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1928 births, Japanese mathematicians, Living people, so understanding it makes those chapters shorter.
In everyday life
Look for Hiroshi Fujita outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hiroshi Fujita in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hiroshi Fujita means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hiroshi Fujita out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hiroshi Fujita in simple terms?

Hiroshi Fujita (Japanese: 藤田 宏, Hepburn: Fujita Hiroshi) (born 7 December 1928 in Osaka) is a retired Japanese mathematician who worked in partial differential equations. He obtained his Ph.D. at the University of Tokyo, under the supervision of Tosio Kato.

Why does Hiroshi Fujita matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hiroshi Fujita?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hiroshi Fujita.

Tags

  • 1928 births
  • Japanese mathematicians
  • Living people
  • Mathematical analysts
  • People from Osaka
  • Scientists from Osaka
  • University of Tokyo alumni

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