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Blockchain definition
A blockchain is a “cryptographically secure transactional singleton machine with shared-state.” That’s a mouthful, isn’t it? Let’s break it down.
“Cryptographically secure” means that the creation of digital currency is secured by complex mathematical algorithms that are obscenely hard to break. Think of a firewall of sorts. They make it nearly impossible to cheat the system (e.g. create fake transactions, erase transactions, etc.)
“Transactional singleton machine” means that there’s a single canonical instance of the machine responsible for all the transactions being created in the system. In other words, there’s a single global truth that everyone believes in.
“With shared-state” means that the state stored on this machine is shared and open to everyone.
Ethereum implements this blockchain paradigm.

The Ethereum blockchain paradigm explained
The Ethereum blockchain is essentially a transaction-based state machine. In computer science, a state machine refers to something that will read a series of inputs and, based on those inputs, will transition to a new state.
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With Ethereum’s state machine, we begin with a “genesis state.” This is analogous to a blank slate, before any transactions have happened on the network. When transactions are executed, this genesis state transitions into some final state. At any point in time, this final state represents the current state of Ethereum.
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The state of Ethereum has millions of transactions. These transactions are grouped into “blocks.” A block contains a series of transactions, and each block is chained together with its previous block.
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To cause a transition from one state to the next, a transaction must be valid. For a transaction to be considered valid, it must go through a validation process known as mining. Mining is when a group of nodes (i.e. computers) expend their compute resources to create a block of valid transactions.
Any node on the network that declares itself as a miner can attempt to create and validate a block. Lots of miners from around the world try to create and validate blocks at the same time. Each miner provides a mathematical “proof” when submitting a block to the blockchain, and this proof acts as a guarantee: if the proof exists, the block must be valid.
For a block to be added to the main blockchain, the miner must prove it faster than any other competitor miner. The process of validating each block by having a miner provide a mathematical proof is known as a “proof of work.”
A miner who validates a new block is rewarded with a certain amount of value for doing this work. What is that value? The Ethereum blockchain uses an intrinsic digital token called “Ether.” Every time a miner proves a block, new Ether tokens are generated and awarded.
You might wonder: what guarantees that everyone sticks to one chain of blocks? How can we be sure that there doesn’t exist a subset of miners who will decide to create their own chain of blocks?
Earlier, we defined a blockchain as a transactional singleton machine with shared-state. Using this definition, we can understand the correct current state is a single global truth, which everyone must accept. Having multiple states (or chains) would ruin the whole system, because it would be impossible to agree on which state was the correct one. If the chains were to diverge, you might own 10 coins on one chain, 20 on another, and 40 on another. In this scenario, there would be no way to determine which chain was the most “valid.”
Whenever multiple paths are generated, a “fork” occurs. We typically want to avoid forks, because they disrupt the system and force people to choose which chain they “believe” in.
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To determine which path is most valid and prevent multiple chains, Ethereum uses a mechanism called the “GHOST protocol.”
“GHOST” = “Greedy Heaviest Observed Subtree”
In simple terms, the GHOST protocol says we must pick the path that has had the most computation done upon it. One way to determine that path is to use the block number of the most recent block (the “leaf block”), which represents the total number of blocks in the current path (not counting the genesis block). The higher the block number, the longer the path and the greater the mining effort that must have gone into arriving at the leaf. Using this reasoning allows us to agree on the canonical version of the current state.
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Now that you’ve gotten the 10,000-foot overview of what a blockchain is, let’s dive deeper into the main components that the Ethereum system is comprised of:
accounts
state
gas and fees
transactions
blocks
transaction execution
mining
proof of work
One note before getting started: whenever I say “hash” of X, I am referring to the KECCAK-256 hash, which Ethereum uses.



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A different research field, fault-tolerant distributed computing, has studied this problem, where it goes by different names, including state replication. A solution to this problem is one that enables a set of nodes to apply the same state transitions in the same order—typically, the precise order does not matter, only that all nodes are consistent. For a digital currency, the state to be replicated is the set of balances, and transactions are state transitions. Early solutions, including Paxos, proposed by Turing Award winner Leslie Lamport in 1989,28,29 consider state replication when communication channels are unreliable and when a minority of nodes may exhibit certain 'realistic' faults, such as going offline forever or rebooting and sending outdated messages from when it first went offline. A prolific literature followed with more adverse settings and efficiency trade-offs.ethereum краны free ethereum обменники bitcoin electrum bitcoin bitcoin casino antminer bitcoin bitcoin сатоши раздача bitcoin metropolis ethereum сайты bitcoin bitcoin заработок auction bitcoin dorks bitcoin bitcoin анимация decred cryptocurrency san bitcoin ethereum browser equihash bitcoin wisdom bitcoin bitcoin scripting download tether

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