# coding: utf-8
# Here your code !
import sys
import collections
#import math
import unittest

def calculate_minkowski_distances():
    _ = input()
    data = []
    for i in range(2):
        data.append([float(value) for value in input().rstrip().split()])
#    lines = sys.stdin.readlines()[1:]
#    for line in lines:
#        data.append([ float(value) for value in line.rstrip().split() ])

    for exponent in (1, 2, 3, float("inf")):
        print("{0:.6f}".format(minkowski_distance(*data, exponent)))

def minkowski_distance(vector_x, vector_y, exponent):
    abs_xy = [ abs(pair[0] - pair[1]) for pair in zip(vector_x, vector_y) ]

    m_dis = 0
    if exponent == float("inf") :
        m_dis = max(abs_xy)
    elif exponent == 0 :
        m_dis = nan
    else :
        m_dis = ( sum([ elem**exponent for elem in abs_xy ])**(1/exponent) )
    
    return m_dis
'''
def __input_error():
    print("input error")
    return -1

class __TestValueClass(unittest.TestCase):
    def testEqual(self, func, tuples, eff_digit = math.nan, print_success = False):
        self.testFunction(self.assertEqual,func,tuples,eff_digit,print_success)
    
    def testFunction(self,assertfunc,func,tuples,eff_digit,print_success):
        #tuples[index] = ([*arguments of func], compared value)
        for item in tuples:
            try:
                if isinstance(item[0], collections.Iterable):
                    value = func(*item[0])
                else:
                    value = func(item[0])
                
                if math.isnan(eff_digit) :
                    assertfunc(value,item[1])
                else :
                    format_str = "{0:."+str(eff_digit)+"g}"
                    assertfunc(format_str.format(value),format_str.format(item[1]))
                    
            except Exception as msg:
                swidth = 15
                print("="*50)
                print("-- Assertion Error in '" + func.__name__ + "' --")
                print("arguments".ljust(swidth)+":",item[0])
                print("compared value".ljust(swidth)+":",item[1])
                print("message".ljust(swidth)+":")
                print(msg)
                sys.exit()
        if print_success :
            print(func.__name__,": succeeded")
'''
#test
if __name__ == "__main__" :

#    test = __TestValueClass()
#    vec_x = [1, 2, 3]
#    vec_y = [2, 0, 4]
#    test.testEqual(minkowski_distance, [([vec_x, vec_y, 1], 4),         ([vec_x, vec_y, 2], 2.449490)], eff_digit = 5)
#    test.testEqual(minkowski_distance, [([vec_x, vec_y, 3], 2.154435),  ([vec_x, vec_y, math.inf], 2)], eff_digit = 5)#, print_success = True)

    
    calculate_minkowski_distances()
    
    

### FIXED CODE ###

# coding: utf-8
# Here your code !

def calculate_minkowski_distances():
    _ = input()
    data = []
    for i in range(2):
        data.append([float(value) for value in input().rstrip().split()])

    for exponent in (1, 2, 3, float("inf")):
        print(minkowski_distance(data[0],data[1], exponent))
#        print("{0:.8f}".format(minkowski_distance(*data, exponent)))

def minkowski_distance(vector_x, vector_y, exponent):
#    abs_xy = [ abs(pair[0] - pair[1]) for pair in zip(vector_x, vector_y) ]
    abs_xy = [abs(vector_x[i] - vector_y[i]) for i in range(len(vector_x))]
    
    m_dis = 0
    if exponent == float("inf") :
        m_dis = max(abs_xy)
    elif exponent == 0 :
        m_dis = nan
    else :
        m_dis = sum([ elem**exponent for elem in abs_xy ])**(1/exponent)
    
    return m_dis

if __name__ == "__main__" :
    calculate_minkowski_distances()