Linear Independence of t, e^t, sin(t) in Vector Space V

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SUMMARY

The functions t, e^t, and sin(t) are confirmed to be linearly independent within the vector space V of all real-valued continuous functions. To prove their linear independence, one must demonstrate that the only solution to the equation c1*t + c2*e^t + c3*sin(t) = 0, where c1, c2, and c3 are constants, is c1 = c2 = c3 = 0. Simply stating the definition of linear independence is insufficient; a formal proof is required to validate this claim.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with the concept of linear independence
  • Knowledge of real-valued continuous functions
  • Basic skills in mathematical proof techniques
NEXT STEPS
  • Study the formal definition of linear independence in vector spaces
  • Learn how to construct proofs for linear independence using the Wronskian determinant
  • Explore the properties of real-valued continuous functions in vector spaces
  • Investigate examples of linear combinations and their implications in function spaces
USEFUL FOR

Mathematics students, educators, and anyone interested in understanding the concepts of linear independence and vector spaces in the context of real-valued continuous functions.

hkus10
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Let V be the vector space of all real-valued continuous functions.
t, e^t, sin(t) are in V.
Is t, e^t, sin(t) in V linearly independent?
My answer is yes.
However, how can I prove it which is that which do I have to show or can I just say the def of linear independent?
 
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hkus10 said:
Let V be the vector space of all real-valued continuous functions.
t, e^t, sin(t) are in V.
Is t, e^t, sin(t) in V linearly independent?
My answer is yes.
However, how can I prove it which is that which do I have to show or can I just say the def of linear independent?

You CAN just say 'def of linear independence'. But that would be a stupid thing to say. What IS the 'def of linear independence'? That's what you have to show.
 
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