Can A Tensor Multiplied by 0 Produce a Null Tensor?

In summary, Multiplication of a scalar by 0 gives 0 (scalar) and in linear vector spaces, one can prove that a vector (|>) combined with 0 by multiplicative law gives |0>. Similarly, the multiplication of a tensor of rank 2 by 0 will produce a null rank 2 tensor. This is because a tensor is defined as a multilinear map from vector spaces to the reals, and the result follows from linearity.
  • #1
tenchotomic
36
0
Mutiplication of a scalar by a 0 gives 0(scalar)

And also one proves in linear vector spaces that a vector(|>) combined with 0 by multiplicative law gives |0> .

Similarly can one prove that multiplication of a tensor of say rank 2,by 0 will produce a null rank 2 tensor.
 
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  • #2
yes one can.
 
  • #3
pessimist said:
yes one can.

Iam asking for an idea on how to do it?
 
  • #4
tenchotomic said:
Iam asking for an idea on how to do it?
Well, in my books, a tensor is by definition a multilinear map from a bunch of vector spaces to the reals. The result you want comes right out of the linearity.
 
  • #5


Yes, it is possible to prove that multiplication of a tensor of rank 2 by 0 will produce a null tensor of rank 2. This can be shown using the definition of tensor multiplication and the properties of null vectors in linear vector spaces.

First, let's define what it means for a tensor to be multiplied by 0. In tensor algebra, the multiplication of two tensors is defined as a linear combination of their components. Therefore, if one of the tensors is multiplied by 0, all of its components will become 0.

Now, let's consider a tensor of rank 2, represented by T_ij, and let's assume that it is multiplied by 0. This means that all of its components, T_ij, will become 0. In other words, the resulting tensor will have all of its components equal to 0, which is the definition of a null tensor.

Furthermore, we can also prove this using the properties of null vectors in linear vector spaces. In linear algebra, a null vector is defined as a vector that has all of its components equal to 0. Similarly, a null tensor of rank 2 can be defined as a tensor that has all of its components equal to 0. Therefore, when a tensor of rank 2 is multiplied by 0, it will produce a null tensor of rank 2, as all of its components will be equal to 0.

In conclusion, it is possible to prove that multiplication of a tensor of rank 2 by 0 will produce a null tensor of rank 2. This can be shown using the definition of tensor multiplication and the properties of null vectors in linear vector spaces.
 

Related to Can A Tensor Multiplied by 0 Produce a Null Tensor?

1. What is the result of multiplying a number by zero?

The result of multiplying any number by zero is always zero. This is because the concept of multiplication is essentially repeated addition, and if we add zero to itself any number of times, the result will always be zero.

2. Is zero considered to be a number in multiplication?

Yes, zero is considered to be a number in multiplication. It is the only number that has the property of being its own additive inverse, meaning that when added to itself, the result is zero.

3. Can a number be both multiplied and divided by zero?

No, it is mathematically undefined to both multiply and divide a number by zero. This is because division is the inverse of multiplication, and dividing by zero would result in an infinite number of solutions.

4. What happens when you multiply a negative number by zero?

Multiplying a negative number by zero will always result in zero. This is because a negative number multiplied by a positive number will always result in a negative number, but when that positive number is zero, the result is always zero.

5. Why is multiplication by zero important in mathematics?

Multiplication by zero is important in mathematics because it allows us to define and understand important concepts such as the zero product property, which states that when two numbers are multiplied and the result is zero, one or both of the numbers must be zero. It also helps us understand the concept of limits in calculus and plays a crucial role in solving equations and inequalities in algebra.

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