Sold out

Ueber eine Klasse von Matrizen, die Sich Einer Gegebenen Matrix Zuordnen Lassen - Inaugural-Dissertation zur Erlangung der Doktorwürde von der Philosophischen Fakultät der Friedrich-Wilhelms-Universität zu Berlin (Classic Reprint)

German · Paperback / Softback

Description

Read more










Excerpt from Ueber eine Klasse von Matrizen, die Sich Einer Gegebenen Matrix Zuordnen Lassen: Inaugural-Dissertation zur Erlangung der Doktorwürde von der Philosophischen Fakultät der Friedrich-Wilhelms-Universität zu Berlin

I. "jede invariante Form T (a) ist zerlegbar in homogene inva riante Formen von nicht identisch verschwindender Determi nante und eine Nullmatrix, die natürlich nur dann auftritt, wenn die Determinante von t(a) identisch Null ist.

About the Publisher

Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com

This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Product details

Authors Issai Schur
Publisher Forgotten Books
 
Languages German
Product format Paperback / Softback
Released 01.01.2017
 
No. of pages 78
Dimensions 152 mm x 229 mm x 4 mm
Weight 118 g
Subject Natural sciences, medicine, IT, technology > Mathematics > Arithmetic, algebra

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.