Ryouma ga yuku by Shiba Ryoutarou

I finaly finish to read "Ryouma ga yuku" by Shiba Ryoutarou. My problem is how to get the books. This time, my friend's sister visited Germany, I asked her to carry the last two volumes. I spent the whole Saturday to read them. It was so exciting and I couldn't stop to read them. I don't so prefer other Shiba's books, therefore I haven't read this until now. What a stupid I am. I didn't understand Shiba's book when I was a high school student. Maybe I was not enough mature to understand them.

面白き，こともなき世を，面白く，
住みなすものは心なりけり．高杉晋作
(Even if the world has no fun, our mind is a possibility to make it fun.
Takasugi Shinsaku) (This is just one of possible translations. I cannot translate this well.)

常日頃，闇に覆わる我が心，
光となるは，竜馬の言葉．山内斉
(Every day, my mind is easily covered by darkness and depression,
Ryouma's word lit in my mind. Yamauchi Hitoshi)

Comments

Why parallelogram area is |ad-bc|?

Here is my question. The area of parallelogram is the difference of these two rectangles (red rectangle - blue rectangle). This is not intuitive for me. If you also think it is not so intuitive, you might interested in my slides. I try to explain this for hight school students. Slides: A bit intuitive (for me) explanation of area of parallelogram (to my site, external link) .

Geometric Multiplicity: eignvectors (2)

If eigenvectors of a matrix A are independent, it is a happy property. Because the matrix A can be diagonalized with a matrix S that column vectors are eigenvectors of A . For example, Why this is a happy property of A? Because I can find A's power easily. A^{10} is not a big deal. Because Λ is a diagonal matrix and power of a diagonal matrix is quite simple. A^{10} = SΛ^{10} S^{-1} Then, why if I want to compute power of A ? That is the same reason to find eigenvectors. Eigenvectors are a basis of a matrix. A matrix can be represented by a single scalar. I repeat this again. This is the happy point, a matrix becomes a scalar. What can be simpler than a scalar value. But, this is only possible when the matrix S's columns are independent. Because S^{-1} must be exist. Now I come back to my first question. Is the λ's multiplicity related with the number of eigenvectors? This time I found this has the name. Geometric multiplicity (GM): the number of in...

Tezuka Osamu's Black Jack, "Shrinking"

I like several novel authors. My first favorite author is probably Teduka, Osamu. I still love him. The list grows by adding Hoshi, Shinichi, Agatha Christie, Hermann Hesse, and so forth. My first favorite article of Tezuka was Atom as most of the (boy's) Tezuka fans did. But my favorite is Black Jack. I try to summarize one story, it is still quite vivid in my memory. I first read this story when I was 13 - 15 years old. I re-read it at least several times since Black Jack is composed of many short episodes. The title should be "ちぢむ (SHRINKING)" or it might be "縮む(Shrinking)". (It is not so convenient to translate this to English, since English does not have a system to say the exact same word in several ways. So I just simulate it with capital letters.) Black Jack is a genius surgeon, but he does not have the license. In short, his medical activity is illegal. His skill is top level in the world, but, the fee is also out-of-law expensive. In the story ...

Lx=d: SundayResearch

Search This Blog