Bu sistemaning determinanti x=x0 nuqtada Vronskiy
determinantidir. y1 va y2 lar chiziqli erkli yechimlar bo’lganligi uchun Vronskiy determinanti nolga teng emas, ya’ni (4.12) aniq sistema. Teorema isbotlandi.
Demak, agar chiziqli bir jinsli differensial tenglamaning yechimi - ma’lum bo’lsa, u xolda bir jinslimas (4.8) tenglamaning yechimini topish uning biror 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) - xususiy yechimini topishdan iborat bo’lar ekan.
Xususiy yechimni tanlash usuli.
1. (4.8) tenglamaning o’ng tomoni ko’rsatkichli funksiya va ko’pxad ko’paytmasidan, ya’ni
ko’rinishida bo’lsin, n-darajali ko’pxad.
Quyidagi hollar bo’lishi mumkin:
Do'stlaringiz bilan baham: |