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Null Space


If T is a linear transformation of R^n, then the null space Null(T), also called the kernel Ker(T), is the set of all vectors X such that

 T(X)=0,

i.e.,

 Null(T)={X:T(X)=0}.

The term "null space" is most commonly written as two separate words (e.g., Golub and Van Loan 1989, pp. 49 and 602; Zwillinger 1995, p. 128), although other authors write it as a single word "nullspace" (e.g., Anton 1994, p. 259; Robbin 1995, pp. 123 and 180).

Each null space vector corresponds to a zero eigenvector of the transformation matrix of T.

The Wolfram Language command NullSpace[{v1, v2, ...}] returns a list of vectors forming a vector basis for the nullspace of a set of vectors {v_1,v_2,...} over the rationals (or more generally, over whatever base field contains the input vectors).


See also

Fredholm's Theorem, Kernel, Linear Transformation, Nullity, Rank-Nullity Theorem, Vector Basis, Vector Space Span

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References

Anton, H. Calculus: A New Horizon, 6th ed. New York: Wiley, 1999.Golub, G. H. and Van Loan, C. F. Matrix Computations, 3rd ed. Baltimore, MD: Johns Hopkins University Press, 1996.Robbin, J. W. Matrix Algebra Using MINImal MATlab. Wellesley, MA: A K Peters, 1995.Zwillinger, D. (Ed.). CRC Standard Mathematical Tables and Formulae. Boca Raton, FL: CRC Press, 1995.

Referenced on Wolfram|Alpha

Null Space

Cite this as:

Weisstein, Eric W. "Null Space." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/NullSpace.html

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