1- тұжырым. Кез келген квадраттық емес анықтауыштың мәнін табу үшін (4) заңдылыққа сүйенуге болады. Бұл Паскаль үшбұрышына ұқсас екендігін байқауға болады. Олай болса:
= (5) Таңба ауысып отырады екен.
Біз жоғарыда бір жолақ немесе бірнеше баған түріндегі «квадраттық емес анықтауыштардың» мәнін табуды қарастырып (5) жалпы формуланы қорыту мүмкіндігін анықтадық.
2- тұжырым. 2-аксиомадан = ![](data:image/png;base64,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) екендігі келіп шығады екен.
Екі жолақ және үш(бірнеше) бағандық квадраттық емес анықтауыштардың мәнін есептеу үшін төмендегі аксиомаларды қабылдайық.
Достарыңызбен бөлісу: |