Appendix B
Functions and Signals

The material in this appendix can be found in 128, 8. A function images is said to be continuously differentiable (images) at a point images if the partial derivatives images exist and are continuous at images for images and images. The function is continuously differentiable on a set images if it is continuously differentiable at every point of images. A function belongs to images, images on images if images has continuous partial derivatives up to order images on images. If images, we say the function is sufficiently smooth.

For any piecewise continuous signal images,

equation

If images (the signal is bounded for all time), we say that images. Likewise, if images (the signal is square‐integrable), we say that images. Note that any images‐norm images may be used in the above definitions; however, it is common to define the images space with the Euclidean norm.

Given a differentiable signal images, if its time derivative satisfies the relationship

(B.1)equation

for images, then images.

A continuous function images is said to belong to class images if it is strictly increasing and images. A continuous function images is said to belong to class images if, for each fixed images, the mapping images belongs to class images with respect to images and, for each fixed images, the mapping images is decreasing with respect to images and images as images

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