Probability and Statistical Inference. Robert Bartoszynski
Чтение книги онлайн.

Читать онлайн книгу Probability and Statistical Inference - Robert Bartoszynski страница 20

Название: Probability and Statistical Inference

Автор: Robert Bartoszynski

Издательство: John Wiley & Sons Limited

Жанр: Математика

Серия:

isbn: 9781119243823

isbn:

СКАЧАТЬ href="#fb3_img_img_25c17b11-e484-560c-a4b6-0dd19e898430.png" alt="images"/> will occur”; call this event images. The intersection over images means that the event images occurs for every images. No matter how large images we take, there will be at least one event images with images that will occur. But this is possible only if infinitely many imagess occur.

      For the event images, the argument is similar. The intersection images occurs if all events images with images occur. The union images means that at least one of the events images will occur, and that means that all images will occur, except possibly finitely many.

      If all events (except possibly finitely many) occur, then infinitely many of them must occur, so that images. If images then (see the definition of equality of events) we say that the sequence images converges, and images.

      The most important class of convergent sequences of events consists of monotone sequences, when images (increasing sequence) or when images (decreasing sequence). We have the following theorem:

      Theorem 1.4.1 If the sequence images is increasing, then

equation

       and in case of a decreasing sequence, we have

equation

      Proof If the sequence is increasing, then the inner union (images) in images remains the same independently of images so that images. On the other hand, the inner intersection in images equals images so that images, which is the same as images, as was to be shown. A similar argument holds for decreasing sequences.

      The following two examples illustrate the concept of convergence of events.

      Example 1.16

      Example 1.17

      Let images for images odd and images for images even. The sequence images is now images so it is not monotone. We have here images, since every point images with images belongs to infinitely many images. On the other hand, images. For images we have images if images is large enough (and also images СКАЧАТЬ