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Negative and non-negative numbersA signed number is a number which has either a positive or negative sign (or in the case of zero, neither). A negative number is a number that is less than zero, such as -3. A positive number is a number that is greater than zero, such as 3.
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Negative integers can be regarded as an extension of the natural numbers, such that the equation x - y = z has a meaningful solution for all values of x and y. The other sets of numbers are then derived as progressively more elaborate extensions and generalizations from the integers.
Negative numbers are useful to describe values on a scale that goes below zero, such as temperature, and also in bookkeeping where they can be used to represent debts. In bookkeeping, debts are often represented by red numbers, or a number in parentheses.
A real matrix A is called nonnegative if every entry of A is nonnegative.
A real matrix A is called totally nonnegative by matrix theorists or totally positive by computer scientists if the determinant of every square submatrix of A is nonnegative.
Subtracting a positive number from a smaller positive number yields a negative result:
Subtracting a positive number from any negative number yields a negative result:
Subtracting a negative is equivalent to adding the corresponding positive:
Also:
Mulitplication of two negative numbers yields a positive result: (-3) · (-4) = 12. This situation cannot be understood as repeated addition, and the analogy to debts doesn't help either. The ultimate reason for this rule is that we want the distributive law to work:
digits binary actual value 0 00000000 0 1 00000001 1 .... 126 01111110 126 127 01111111 127 128 10000000 -128 129 10000001 -127 130 10000010 -126 .... 254 11111110 -2 255 11111111 -1
Usually, the computer's central processing unit (CPU) can use both signed and unsigned variables. In typical computer architectures there is no way to determine if a given digit is signed or unsigned at runtime because 255 and -1, for instance, appear the same in memory, and both addition, subtraction and multiplication are identical between signed and unsigned values, assuming overflow is ignored, by simply cutting off higher bits than can be stored. The datatype of the value dictates which operation should be applied.
There is a duplicate material at Computer numbering formats.
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