Convolutional Neural Network (CNN)

Please determine if the following statements are True or False with ! A BRIEF EXPLANATION ON WHY FOR UNDERSTANDING 1-2 SENTENCE PLEASE !

1) A convolutional neural network learns features for each pixel separately when detecting edges.

2) In a multilayered convolution neural network, the receptive field of a cell in the second convolutional layer has the same size as a cell in the first convolutional layer.

3) When handling inputs of varying size we need to remove Pooling.

4) The kernel parameters exponentially increase when the CNN's capabilities are increased to handle transformations like rotation, scaling,..

please explain for understanding why just briefly and short